International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.
International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.
Covers molecular medicine topics such as pharmacology, pathology, genetics, neuroscience, infectious diseases, molecular cardiology, and molecular surgery.
Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.
Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.
Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.
Explores a wide range of biological and medical fields, including pharmacology, genetics, microbiology, neuroscience, and molecular cardiology.
International journal addressing all aspects of oncology research, from tumorigenesis and oncogenes to chemotherapy and metastasis.
Multidisciplinary open-access journal spanning biochemistry, genetics, neuroscience, environmental health, and synthetic biology.
Open-access journal combining biochemistry, pharmacology, immunology, and genetics to advance health through functional nutrition.
Publishes open-access research on using epigenetics to advance understanding and treatment of human disease.
An International Open Access Journal Devoted to General Medicine.
Cancer comprises a group of diseases characterized by uncontrolled growth and dissemination of genetically altered cells. These cells, following genetic mutations or alterations, proliferate abnormally, and can invade adjacent tissues or metastasize to distant sites through the blood and lymphatic systems (1). Notably, cancer is the second leading cause of death worldwide (2). According to GLOBOCAN 2022 and the International Agency for Research on Cancer, there were 20 million new cancer cases and 9.7 million cancer-related deaths globally in 2022(3). Furthermore, the global cancer burden is projected to increase to 28.4 million cases by 2040, representing a 47% rise from 2020 (3,4).
The rising global cancer burden has enhanced awareness of its impact and increased the demand for effective scientific solutions. This trend has accelerated cancer research in recent decades, particularly in cancer biology and the role of the tumor microenvironment (TME) in cancer progression (5-7). The TME is a complex ecosystem of cellular and non-cellular components that surrounds tumors, and consists of both non-cancerous and cancerous cells (8-11). Ample evidence has indicated that the TME facilitates the acquisition and maintenance of cancer hallmarks, such as sustained proliferative signaling, resistance to cell death, angiogenesis, invasion and metastasis, tumor-promoting inflammation and immune evasion (7,12-14) (Fig. 1).
Over the past two decades, research has increasingly focused on the interactions between cancer cells and the TME, where the TME serves as the ‘soil’ supporting the proliferation of tumor cell ‘seeds’ (9,15-18). Studies have demonstrated that tumor growth is influenced not only by malignant cancer cells themselves, but also by the surrounding components of the tumor stroma, which serve essential roles in facilitating early tumorigenesis following oncogenic transformation by supporting the survival and expansion of genetically altered cells, as well as promoting tumor progression and metastasis (17,19-21). During early tumor development, a dynamic and reciprocal relationship forms between cancer cells and TME components, supporting cancer cell survival, local invasion and metastatic dissemination (22). The stromal cells within the TME include mesenchymal stromal cells, pericytes, fibroblasts and cancer-associated fibroblasts (CAFs).
CAFs maintain tumor characteristics by secreting soluble paracrine signals and releasing extracellular vesicles (EVs), which serve as the instrument of intercellular communication in the TME and contribute to numerous processes associated with tumor progression, including proliferation, angiogenesis and metastasis (23-25). Therefore, the present review was prompted by the increasingly evident yet still incompletely understood role of CAF-derived EVs from the TME in tumorigenesis, growth and metastasis. Gaining deeper insights into these mechanisms could result in the identification of innovative therapeutic strategies, ultimately transforming cancer treatment and improving outcomes for patients worldwide.
Fibroblasts, which constitute the major component of the stroma, were first described in the late 19th century based on their anatomical location and microscopic appearance (17,20,26). These cells are the most abundant residents of connective tissue, primarily responsible for synthesizing and maintaining extracellular matrix (ECM) components, such as collagen, laminin, fibronectin and proteoglycans. By contrast, CAFs are a subset of fibroblasts that become activated within the TME (27); CAFs differ from normal fibroblasts by exhibiting notable heterogeneity and plasticity, and they serve a pivotal role in cancer progression and development (19).
CAFs constitute the most abundant cellular component of the tumor stroma and influence multiple tumor processes, including the induction of tumor cell proliferation (28), modulation of tumor angiogenesis (29), establishment of an immunosuppressive microenvironment that enables immune evasion (30), and promotion of tumor formation and drug resistance (31). They can originate from both resident cells within the TME [such as fibroblasts, epithelial cells via epithelial-to-mesenchymal transition (EMT), endothelial cells via endothelial-mesenchymal transition, pericytes and adipocytes through transdifferentiation] and from distant sources, including bone marrow-derived mesenchymal stem cells (32). In addition to fibroblasts, other stromal cells, such as mesenchymal stem cells and adipocytes, can be activated by TGF-β and platelet-derived growth factors (PDGFs) to acquire a CAF phenotype (17,27,33). However, the precise origins of CAFs, their specific niches within various tumor types, and their functional roles remain incompletely understood (34). The heterogeneity of CAFs may be related to the diversity of cellular origin, phenotype and function. Irrespective of origin, the transition of cells to CAFs is largely irreversible, and yet remains plastic with respect to the CAF phenotype within or across tumor types (34). Despite advances in the field, unresolved questions and controversies persist in CAF research. For example, the mechanisms underlying CAF differentiation, and the specific roles of CAFs in tumor metastasis and drug resistance are still being debated. Furthermore, the potential for therapeutic targeting of CAFs to improve cancer treatment outcomes remains controversial. These knowledge gaps underscore the complexity of CAF biology and represent critical frontiers in cancer research.
CAFs contribute to tumorigenesis, angiogenesis, tumor progression, metastasis and therapeutic resistance by secreting pro-oncogenic factors, ECM components, cytokines and EVs. These secretions modulate tumor angiogenesis, reprogram tumor metabolism, regulate immune responses within the TME and remodel the ECM (35,36). CAFs represent the most abundant stromal cell population in the TME and are a critical component of the tumor mesenchyme, where they serve an important role in promoting tumor malignancy (7). They modulate the biological functions of tumor cells via multiple methods, including the secretion of a number of bioactive molecules that influence paracrine and autocrine signaling, the release of exosomes and direct interactions, thus affecting cancer initiation and development (24,37,38). Molecular markers for positive CAF characterization are fibroblast activation protein (FAP), fibroblast-specific protein 1 (FSP1), PDGF receptors (PDGFRs), podoplanin, α-smooth muscle actin (α-SMA) and vimentin, whereas CD31 and cytokeratin are used for negative CAF characterization (32,39-41). Multiple studies have demonstrated that cooperative signaling loops between cancer cells and surrounding CAFs can influence therapeutic response and cancer prognosis, highlighting the predictive and prognostic importance of CAFs and their secreted factors (42-44).
Different CAF subtypes have been identified with specific molecular markers, such as myofibroblast-like CAFs (myCAFs) (45), inflammatory CAFs (iCAFs) (45) and antigen-presenting CAFs (ApCAFs) (34,46), which perform different and, in some cases, even contradictory roles in tumorigenesis. Across cancer types, myCAFs are associated with high ECM production, which can facilitate tumor progression by creating a supportive stroma for cancer cells to thrive. By contrast, non-myofibroblastic iCAFs are generally characterized by inflammatory secretions that contribute to a pro-tumorigenic environment through the secretion of cytokines that promote cancer cell survival and proliferation (34). Furthermore, ApCAFs have been implicated in modulating immune responses within the TME, potentially affecting tumor growth dynamics. Studies in genetically engineered mouse models and clinical studies have suggested that there may exist at least two functionally different populations of CAFs: Cancer-promoting CAFs (pCAFs) and cancer-restraining CAFs (rCAF) (45,47,48). Although various pCAF markers have been identified (for example, α-SMA, FAP and FSP1), the identity of rCAFs remains unknown, probably due to the lack of rCAF-specific markers (19,48,49). Understanding these functional implications is crucial for developing targeted therapies that can inhibit pCAFs while preserving or enhancing the activity of rCAFs.
EVs are phospholipid bilayer membrane-enclosed vesicles secreted by all cell types (11). Depending on their cellular origin, EVs contain a diverse range of cargo, including membrane, cytosolic and nuclear proteins, as well as noncoding RNAs, other RNA types and double-stranded DNA fragments. Notably, >50 years ago, researchers observed the release of tiny sacs from cultured cells, although their importance was initially unclear (50). These structures, later termed EVs, revealed a previously unrecognized network of intercellular exchange. It is now established that all cells release EVs as part of normal physiological processes and these roles are often co-opted during disease states, particularly in cancer progression (51). The discovery of EVs has generated notable scientific interest, leading to a field of research that has reshaped the understanding of cell communication, and holds considerable promise for disease diagnostics and therapeutics.
Currently, EVs encompass a wide range of specialized particles, including exosomes, other small exosome-sized EVs, microvesicles (MVs), arrestin domain-containing protein 1-mediated MVs (ARMMs), apoptotic bodies and large oncosomes (52-54). For clarity, EVs are classified based on size and intracellular origin or biogenesis, as these criteria provide clear and consistent differentiation among EV types. Accordingly, two major classes of EVs are recognized: MVs and exosomes (53,55-58) (Fig. 2).
Exosomes typically range between 30 and 150 nm in diameter, and are formed by inward budding of late endosomal membranes that mature into multivesicular bodies (MVBs). Within the MVB, intraluminal vesicles (ILVs) are generated through inward budding of the limiting membrane. MVBs may be transported to the lysosome for degradation or directed to the plasma membrane for docking and fusion (53,59). Upon fusion with the plasma membrane, ILVs are released into the extracellular space as exosomes (60). Exosomes contain various surface proteins, including integrins, tetraspanins, immunomodulatory proteins and programmed death-ligand 1 (PD-L1). They also carry intracellular proteins, RNA, DNA, amino acids and metabolites. MVs (also known as ectosomes or microparticles), which include oncosomes, migrasomes and ARMMs (53,61), are larger vesicles ranging between 100 and 1,000 nm in diameter. These are assembled at and released from the plasma membrane through outward protrusion or budding (62,63). The MV membrane primarily consists of membrane lipids and proteins (62). Similar to exosomes, MVs contain a diverse array of cargo, including lipids, transmembrane and globular proteins, DNA, mRNA and microRNA (miRNA/miR) (62,63).
EVs act at both local and distant sites, and circulate in various biological fluids, such as blood, urine, bile, nasal secretions and saliva (11,64). They transfer their cargoes, which include DNA, various types of RNA, metabolites, lipids, signaling molecules and cell-surface receptors, between cells (Fig. 3), both in the direct vicinity of the source cells and at distant sites in the body following transmission in biological fluids (65,66). The legion of bioactive EV cargoes delivered to stromal cells results in a biological response in the recipient cells. Three mechanisms have been proposed for the interaction of EVs with target cells: i) EVs fuse with target cells and transfer their cargos into the cells; ii) EVs endocytose near target cells and release their cargos into the cells; and iii) receptor-ligand interactions activate signal transduction pathways (67).
Cancer cell-derived EVs function as a unique form of intercellular communication, which can promote cell proliferation and survival, help shape the TME, and increase invasive and metastatic activity. When the transfer of EV cargoes is from a cancerous cell within the TME to a non-cancerous cell within or outside the TME, it promotes different aspects of cancer progression. The response helps tumor cells to evade antitumor immunity, modify the TME and create an environment that is conducive for tumor growth. Briefly, EVs serve essential roles in the cross-talk between malignant tumor cells and resident cells of the TME (68), and malignant cell-derived EVs can influence the activation of stromal cells into CAFs.
This section provides a cross-tumor summary of experimental evidence describing bidirectional EV-mediated communication between cancer cells and CAFs, highlighting conserved mechanisms observed across multiple solid tumor types.
EVs are emerging as master couriers that reprogram the stroma, serving a pivotal role in cancer progression and CAF induction. Damaged and diseased cells, including cancer cells, have been shown to shed higher amounts of EVs compared with their healthy counterparts (11). Al-Nedawi et al (69) discovered that highly aggressive forms of brain tumor cells produce large quantities of EVs. The EVs produced, when isolated and used to treat other brain cancer cells, have been shown to result in the recipient cells becoming more aggressive and growing faster, compared with untreated control cells (69,70). Mechanistically, EVs alter recipient cell behavior by transferring bioactive molecules, such as proteins, lipids and RNAs, which modulate signaling pathways involved in cell proliferation, migration and survival.
Tumors generally devise mechanisms for immune evasion in order to survive; such mechanisms include secretion of tumor immunomodulatory proteins, reduced expression of antigen-presenting proteins and EV secretion (71-73). EVs released from cancer cells have been reported to influence the immune system by interacting with T cells, natural killer cells and macrophages (18,74). Exosomes secreted by cancer cells can mediate immune evasion by downregulation of natural killer group 2 member D receptor expression in the effector cells (75).
Cancer cells have been reported to release EVs into the TME, which influence stromal cells, particularly via the reprogramming of fibroblasts into the CAF phenotype, to take up large numbers of cancer cell-derived EVs making them important targets of EV-mediated cross-talk (68,76). First, cancer cells release EVs containing various biomolecules into the surrounding tissue; subsequently, fibroblasts in the TME uptake these EVs, which promote changes in their phenotype. Studies have demonstrated that EVs derived from cancer cells induce the acquisition of a CAF-like phenotype in normal fibroblasts (18,77-79). Finally, these fibroblasts exhibit signature activation markers indicative of their new CAF phenotype (80). Furthermore, endothelial cells, pericytes and mesenchymal stem cells can be induced to a CAF phenotype by cancer-derived EVs (81-86). Cancer cell-derived EV cargoes also influence a pro-angiogenic or pro-inflammatory phenotype in CAFs, and the induction of therapy resistance and pre-metastatic niche formation (87).
Furthermore, CAFs can secrete their own unique EVs, which in turn get trafficked to cancer cells, where the cargoes are released to influence increased EMT, proliferation, invasion, metastasis, motility, stemness, colony formation, apoptosis inhibition, glycolysis and therapy resistance in these cancer cells (88). A unifying mechanism in this process is the alteration of signaling pathways such as the PI3K/AKT and Wnt/β-catenin pathways, which are heavily influenced by miRNA cargoes. The ability of cancer-derived EVs to promote CAF phenotype programming, and CAFs to secrete EVs into adjacent tumor cells to modulate their behavior have been linked to several types of molecular cargo, including miRNAs, proteins and, to a lesser extent, mRNAs and long non-coding RNAs (lncRNAs) (89). Table I summarizes the key EV-associated miRNAs, mRNAs, lncRNAs and circular (circ)RNAs discussed in this section, including their cellular origin, target genes and functional outcomes across different tumor types (Fig. 4).
Table ISummary of EV-associated molecular cargoes including miRNAs, lncRNAs, mRNAs and circRNAs: Their cellular origin, target pathways and functional outcomes in the TME. |
CAFs are also actively involved in remodeling the ECM, a process critical for tumor expansion by altering ECM stiffness and promoting its degradation, thus creating a microenvironment favorable to tumor progression (90). In triple-negative breast cancer, EVs released from MDA-MB-231 cells have been found to carry miR-9, which drives the transformation of normal fibroblasts into CAFs. This miRNA also modulates the expression of ECM-related genes, such as EGF-containing fibulin-like ECM protein 1, collagen type I α1 and matrix metalloproteinase 1 (71,91). However, it is essential to note that while these studies highlight notable interactions, they often work within controlled environments that may not entirely replicate the complex TME in vivo.
Evidence has demonstrated that CAF-derived EVs are not just passive byproducts of the tumor stroma, but active messengers capable of reprogramming cancer cell behavior particularly through the regulation of EMT. Across multiple tumor types, this regulation appears to occur through the selective delivery of miRNAs influencing signaling pathways such as PI3K/AKT and Wnt/β-catenin. In breast cancer, CAF-derived exosomal miR-21 promotes EMT and invasiveness by suppressing PTEN and activating PI3K/AKT signaling (92). Conversely, the delivery of miR-1-3p via CAF-derived EVs has been shown to suppress breast cancer progression and metastasis by inhibiting the GLIS1 pathway (84). In colorectal cancer, miR-92a-3p within CAF-derived EVs drives both EMT and stem-like properties by targeting FBXW7 and upregulating Wnt/β-catenin signaling (93). In prostate cancer, EVs enriched with miR-409 silence key tumor suppressors such as Ras suppressor protein 1 and STAG2, tilting the balance toward EMT and progression (94). These studies indicate that while the exact cargo and targets may differ, the capacity of CAF-derived EVs to steer EMT is a shared feature that is contextual, yet markedly consistent in function.
miRNAs are short non-coding RNA molecules, 18-22 nucleotides in length, which represent some of the most abundant components within EVs. These miRNAs serve a central role in modulating gene expression at the post-transcriptional level (95). They primarily bind to the 3' untranslated regions of target mRNAs, resulting in mRNA degradation or translational repression. Several studies have demonstrated that EV-associated miRNAs can induce a CAF phenotype in recipient cells by downregulating tumor suppressor genes, including p53 and related regulatory proteins (79,96,97). This effect is mediated through direct interactions with mRNA sequences encoding these tumor suppressors. For example, miR-21-enriched EVs, upon internalization by fibroblasts, activate PI3K signaling and promote their conversion into CAFs (24,86). Additionally, mRNAs for inflammatory cytokines such as TNF-α, TGF-β and IL-6 can be transferred from cancer cells to fibroblasts, influencing fibroblast function and differentiation (98). These cytokines initiate signaling cascades that activate transcription factors associated with inflammation and fibrosis. In melanoma, EVs have been shown to carry the lncRNA Gm26809, which upregulates CAF markers in recipient cells and further supports the pro-tumorigenic reprogramming of the tumor stroma (99). The lncRNA Gm26809 likely modulates chromatin remodeling or interacts with transcriptional machinery to regulate gene expression related to CAF activation.
CAFs also release EVs that facilitate metabolic reprogramming within the tumor ecosystem (81). However, it is important to acknowledge that EV populations are highly heterogeneous, and the specific cargo they carry can vary depending on the context and cellular origin. One notable mechanism involves CAFs expressing miR-105, which has been shown to contribute to metabolic adaptation. This adaptation occurs through the detoxification of lactic acid and ammonium, converting these byproducts into energy-rich metabolites to support cancer cell survival and proliferation (86). These CAFs are emerging as quiet but powerful players in shaping tumor metabolism. Within the often harsh and nutrient-limited environment of solid tumors, CAF-derived EVs enable cancer cells to adapt by supplying them with essential tools for survival. For example, in pancreatic ductal adenocarcinoma, CAF-EVs transfer tricarboxylic acid cycle metabolites and miR-106b, sustaining oxidative phosphorylation, enhancing metabolic plasticity and promoting tumor progression (100). Similarly, in breast cancer, CAF-derived EVs serve a crucial role in metabolic coupling, delivering key metabolites and supporting lactate recycling. This process ultimately fuels anabolic pathways and sustains tumor proliferation (71,101). These examples suggest that CAF-derived EVs do not merely instruct tumor cells but collaborate with them, creating a form of metabolic symbiosis that favors tumor growth even under stress.
Treatment of cultures of CD8+ T cells with PD-L1, an exosome protein, has been shown to induce strong suppression of their growth and immune activity (102-104). Crucially, CAFs have been identified as a notable source of these PD-L1-carrying EVs in the TME. Studies in bladder and lung cancer have demonstrated that CAF-derived EVs either directly deliver PD-L1 to T cells or transfer genetic cargo that upregulates PD-L1 expression in neighboring tumor cells, thereby driving immune escape and CD8+ T-cell exhaustion (105,106).
EV protein cargo frequently overlaps functionally with EV-associated miRNAs. TGF-β protein, miR-21, miR-769-3p and TGF-β mRNA have been implicated in driving CAF transformation in target cells, primarily through TGF-β signaling pathways (79,98,102,107-112). These signaling pathways, especially TGF-β, activate Smad proteins and promote transcriptional changes that enable cellular transformation and the acquisition of resistance characteristics. Moreover, CAF-derived EVs comprise active agents of therapy resistance, creating a notable impact on the tumor-stroma interplay. These vesicles do more than serve as passive byproducts of the tumor stroma; they actively facilitate immune evasion by delivering immunosuppressive cargo, including TGF-β-related proteins and regulatory miRNAs, which suppress cytotoxic T-cell activity (113). In multiple types of cancer, CAF-derived EVs contribute to therapy resistance by transferring miRNAs and other cargo that modulate apoptotic and survival pathways. For example, miRNAs such as miR-92a-3p delivered by CAF-EVs promote resistance to fluoropyrimidine-based chemotherapy in colorectal cancer through Wnt/β-catenin activation and inhibition of apoptosis, whereas CAF-derived EVs enriched with miR-522 inhibit ferroptosis in gastric cancer cells, reducing chemotherapy sensitivity (114). There is also emerging evidence that CAF-derived EVs contribute to an immunosuppressive TME; EV cargo including immunomodulatory proteins and miRNAs is associated with reduced antitumor immune cell activity and remodeling of immune-relevant signaling, which may theoretically impact responses to immune checkpoint blockade therapies, although direct mechanistic evidence is still developing (115).
The clinical challenge of effectively translating stromal biology into cancer therapies is deeply rooted in the complex heterogeneity of CAF-derived EVs. This heterogeneity markedly constrains the development of targeted treatments and impacts patient outcomes. Evidence has indicated that CAF-derived EVs exhibit substantial cargo heterogeneity, reflecting the functional diversity of CAF subtypes (45). In addition to miRNAs and lncRNAs, CAF-derived EVs have been shown to carry distinct classes of non-coding RNAs, including circRNAs, which actively modulate tumor behavior (116). In a previous study, exosomes released from CAFs were reported to promote colorectal cancer progression through the transfer of circ_0067557, which upregulates Lin28A and Lin28B in recipient cancer cells, thereby enhancing malignant phenotypes (116). This example highlights a recurring mechanism whereby CAF-derived EVs frequently reprogram developmental pathways to fuel malignancy.
In addition to circRNAs, comprehensive analyses have revealed that EVs possess a complex and heterogeneous proteomic cargo, including signaling molecules, matrix-associated proteins and enzymes that mediate tumor-stroma interactions (117). This proteomic diversity facilitates multiple communication pathways within the TME. Furthermore, EV surface proteins such as integrins and tetraspanins (CD9, CD63, CD81) are essential for determining vesicle targeting, uptake and functional specificity in recipient cells, thereby enabling selective stromal-tumor communication (118,119). These proteins can be classified according to the specific hallmarks of cancer they support, which clarifies their functional hierarchy (120,121). For example, integrins are primarily involved in promoting invasion and metastasis by facilitating cell adhesion and migration. By contrast, tetraspanins such as CD63 and CD81 contribute to immune evasion by modulating immune cell interactions and concealing tumor cells from immune detection (122,123).
A further dimension of complexity in CAF-derived EV signaling stems from the intrinsic heterogeneity of CAF populations. Advances in single-cell RNA sequencing and spatial transcriptomics are transforming the understanding of CAF diversity within tumors. Rather than constituting a single functional group, CAFs are now classified into distinct subtypes (iCAFs, myCAFs and ApCAFs), each characterized by unique transcriptional profiles and functional properties (37). This heterogeneity implies that CAF-derived EVs are not uniform but instead carry subtype-specific cargo that reflects their cellular origin. Recognizing these diverse effects is essential for interpreting the findings presented in the present review. Consequently, future research should focus on delineating the contributions of individual CAF subsets to EV-mediated signaling within the TME. Subtype-specific evidence is beginning to emerge; for example, exosomes from experimentally defined myCAFs have been shown to promote tumor cell stemness, migration and immune modulation through the transfer of specific lncRNAs such as PWAR6(124). Nevertheless, direct comparative analyses of EVs from iCAFs, myCAFs or ApCAFs remain scarce (125). Most current studies continue to examine CAF-derived EVs as bulk populations without explicit subtype attribution, underscoring a notable gap in the field (125,126).
Early detection or diagnosis of cancer has been identified as one of the best ways to halt the spread of cancer and to ultimately treat patients (127,128). Biopsies are one of the foremost approaches used by cancer researchers in identifying the type and stage of cancer in individuals (129). Conventional biopsies, which involve the use of a sharp instrument or needle to collect a small portion of the tumor, are often invasive, painful and associated with a risk of infection (130). Liquid biopsies, which are non-invasive, can be performed as part of routine patient examinations, thereby increasing the likelihood that individuals with cancer will be diagnosed at earlier stages of the disease (130,131). Therefore, since EVs generated by cancer cells can be found in the circulation, it has been suggested that they can be isolated and analyzed as a form of liquid biopsy assay. For example, exosomes isolated from blood samples taken from patients with metastatic melanoma have been shown to be enriched in PD-L1, suggesting that the presence of PD-L1 in exosomes could potentially be used for diagnostic purposes (102). Distinct miRNAs expressed in exosomes have also been proposed as cancer biomarkers. Akers et al (132) demonstrated that miR-21 was highly expressed in exosomes from the cerebrospinal fluid of patients with glioblastoma, but was absent in exosomes from healthy individuals. These findings suggest that exosomal miRNA profiles could serve as reliable, non-invasive biomarkers for early cancer detection and classification. Furthermore, characterizing these EVs may inform personalized therapeutic strategies by identifying specific pathways for targeted anti-CAF interventions, thereby linking diagnostic insights with therapeutic applications.
Despite the promise of EVs as liquid biopsy biomarkers, a major technical challenge lies in distinguishing CAF-derived EVs from the abundant pool of circulating EVs originating from platelets, leukocytes and endothelial cells, which constitute the majority of EVs detected in blood (133,134). It is estimated that platelet-derived EVs account for 70-90% of circulating EVs, indicating the difficulty encountered when attempting to isolate the comparatively scarce CAF-derived EVs. Currently, to the best of our knowledge, no single surface marker uniquely identifies CAF-derived EVs in body fluids. Instead, emerging strategies rely on combinatorial marker profiling, integrating fibroblast-associated proteins, such as FAP, PDGFRβ, integrin α11 and caveolin-1, together with classical EV markers, including CD9, CD63 and CD81 (102,135). Advanced approaches combining immunoaffinity capture, high-resolution flow cytometry and single-vesicle analysis have shown promise in enriching stromal-derived EV subpopulations from plasma (136). These methodologies are still under optimization, however, they support the concept that CAF-derived EVs may serve as components of multi-analyte liquid biopsy platforms, rather than as standalone diagnostic biomarkers, highlighting the need for further standardization and clinical validation. Within this context, increasing attention is being directed toward CAF-derived EVs as complementary biomarkers, given their close involvement in tumor-stroma crosstalk and disease progression.
Efficient drug delivery has been shown to aid drug efficacy and specificity, and commonly used drug delivery systems include hydrogels, silica-based nanoparticles and synthetic liposomes. All of these have achieved success in drug delivery; however, they have notable limitations. For example, administration of nanoparticles and hydrogel-based therapeutics is frequently associated with adverse effects, including cytotoxicity and inflammatory responses (137). In addition, synthetic liposomes, while designed for drug encapsulation, often exhibit suboptimal cellular uptake, which diminishes treatment effectiveness (138). These challenges have necessitated the search for alternative drug delivery systems and led to the assessment of EVs as a delivery system, owing to the fact that they are produced by cells thus making them inherently biocompatible. Kamerkar et al (139) engineered exosomes derived from normal fibroblast-like mesenchymal cells to carry small interfering RNA or short hairpin RNA specific to oncogenic KrasG12D, a common mutation in pancreatic cancer. The results revealed that, compared with liposomes, the engineered exosomes (termed iExosomes) targeted oncogenic KRAS with an enhanced efficacy that was dependent on CD47-mediated interactions, which prevent macrophage clearance by providing a ‘don't-eat-me’ signal, thereby enabling immune evasion. Additionally, micropinocytosis enhanced the uptake of iExosomes by cancer cells, as this process is frequently exploited by cancer cells for nutrient acquisition (139). The results further showed that multiple mouse models of pancreatic cancer were suppressed by treatment with iExosomes, with overall survival ultimately improved (139). Although these engineered vesicles are not derived from CAFs, they establish proof-of-concept for the therapeutic application of fibroblast-origin EVs in tumor settings.
Chemotherapy, surgery and radiation therapy are the typical therapeutic modalities used to treat cancer depending on the disease stage (140). However, a major challenge associated with chemotherapeutic strategies is the development of drug resistance, which frequently leads to tumor relapse and treatment failure. Xiao and Yu (14) posited that there is a notable therapeutic advantage in targeting the TME vs. directly targeting cancer cells, since cancer cells are prone to drug resistance due to their genomic instability, whereas non-tumor cells in the TME are genetically more stable and are more vulnerable. Notably, the past decade has seen an increasing appreciation of therapeutic approaches that re-engineer or reprogram the TME stroma into a quiescent state or even tumor-suppressive phenotype (141-143), which offers potential for translational impact in improving patient survival.
Immunotherapies, antiangiogenic medication, and treatments that target CAFs and the ECM are among the most common therapies directed at TME (15). Table II summarizes the major therapeutic strategies targeting CAFs and EV-mediated signaling within the TME, including their mechanisms of action, functional effects and current evidence levels. However, to ensure specificity and minimize off-target effects, it is crucial that these interventions focus on pathological phenotypic changes in TME-resident cells particularly CAFs and their EVs, rather than affecting similar cells in non-cancerous tissues. Consistent with this view, a recent systematic review (144) emphasized that although CAF-derived EVs, particularly exosomal-derived miRNAs, represent attractive therapeutic and biomarker candidates, their clinical translation is currently constrained by substantial biological and technical challenges. These include pronounced EV heterogeneity, overlap in vesicle composition across different stromal and tumor cell types, and the absence of definitive markers that allow unambiguous attribution of circulating EVs to CAF origin. Marker candidates such as CD63, CD81 and CD9 are being investigated as potential identifiers of CAF-derived exosomes, though their specificity to CAFs vs. other stromal cells is still under scrutiny. Consequently, it could be proposed that therapeutic strategies should prioritize modulation of CAF-derived exosomal signaling pathways rather than indiscriminate CAF depletion, thereby enabling selective interference with tumor-stroma communication while preserving the physiological functions of fibroblasts in normal tissues (144).
Table IITherapeutic strategies targeting CAFs and EV-mediated signaling within the tumor microenvironment. |
While there is an abundance of evidence on the tumor-promoting function of CAFs, including tumor growth, development and drug resistance via the secretion of various factors and EVs, emerging evidence has also suggested that CAFs can, in certain contexts, act to suppress tumor development and metastasis. Some subtypes of CAFs may facilitate the metastatic ‘seed-and-soil’ dynamics by either nurturing or restraining metastatic cells. This has led to the hypothesis that certain CAF populations may function as part of a host defense mechanism against neoplastic transformation (19,32,145). Studies focusing on mapping which CAF subtypes contribute to tumor progression vs. those that serve a protective role could deepen the argument for subtype-specific interventions. This necessitates further studies on CAFs as potential targets for cancer therapy, including direct targeting of CAFs, and indirect targeting through the various factors and EVs they secrete. Given the functional heterogeneity of CAFs, it is likely that a number of CAF- and EV-targeted therapeutic strategies preferentially affect specific CAF subpopulations rather than the entire CAF compartment (146,147). However, in numerous preclinical and clinical studies, the subtype origin of targeted CAFs or CAF-derived EVs is not explicitly defined, limiting precise attribution of therapeutic effects to iCAF or myCAF populations (148,149). A detailed comparison and characterization of these subtypes can reveal gaps that could be pivotal targets for future research.
From a therapeutic standpoint, disrupting the tumor exosome-fibroblast communication axis represents a potential strategy to prevent fibroblast reprogramming into tumor-promoting CAFs. Preclinical studies have explored multiple intervention points, including inhibition of EV biogenesis, which is the process of creating new vesicles, and release (150,151), blockade of vesicle uptake by recipient stromal cells (152), and interference with key surface molecules involved in EV internalization, affecting the entry of these vesicles into cells (153,154). Pharmacological inhibition of neutral sphingomyelinase, an enzyme that is involved in the breakdown of certain lipids, using agents such as GW4869 has been shown to markedly reduce exosome release from tumor cells and attenuate downstream stromal activation in experimental models (155,156). In addition, heparin and inhibitors of endocytic pathways, which are the routes by which cells internalize molecules and particles, have been reported to reduce EV uptake by fibroblasts and other stromal cells, thereby limiting exosome-mediated phenotypic reprogramming (157). However, despite these promising preclinical findings, no clinically approved therapies currently exist that specifically prevent tumor-derived exosome internalization by fibroblasts. This highlights both the therapeutic potential and the translational challenges associated with targeting EV-mediated signaling within the TME (122,158).
A major obstacle in cancer therapeutics is the effective translation of promising preclinical findings into successful clinical treatments. This challenge is underscored by the limited number of strategies that have advanced from preclinical studies to broad clinical application. In addition to EV-based approaches, several therapeutic strategies directly target CAF surface markers or signaling pathways. Among these, FAP has received considerable attention, as a serine protease that is highly expressed on activated CAFs in human tumors (159). Its enzymatic activity promotes tumor growth by degrading ECM components, thereby creating an environment favorable for cancer progression. Preclinical studies have indicated that immunotoxins targeting FAP can effectively eliminate FAP-positive CAFs in vivo, resulting in tumor suppression across multiple cancer models (160,161). Other therapeutic strategies targeting FAP include DNA vaccines (162) and chimeric antigen receptor-T-cell therapies (163). However, some studies have reported contradictory findings regarding FAP-targeted treatments. For example, FAP is also expressed by certain multipotent bone marrow stromal cells, which may be inadvertently targeted and eliminated by FAP-directed immunotoxins. This suggests that FAP-targeted drugs may have unintended effects on the bone marrow (164).
Similar to FAP, targeting the GPR77, a C5a receptor on CAFs, using specific monoclonal antibodies has been shown to markedly enhance the response to chemotherapy; targeting the CD10+GPR77+ CAF subset with neutralizing antibodies has been shown to reduce CAF-mediated chemoresistance and restore chemosensitivity in preclinical breast and lung cancer models (31). Small molecules targeting receptors such as the vitamin D receptor on CAFs have been reported to boost the efficacy of chemotherapeutic agents (165,166), suggesting a moderate but consistent enhancement of treatment effects. Similarly, targeting the PDGFR has also been demonstrated to enhance chemotherapy impact, outlining its role in improving drug response. Natural compounds such as curcumin have been demonstrated to shift CAFs from a tumor-promoting phenotype to a more anti-tumorigenic state, while simultaneously activating peripheral blood mononuclear cells, although the precise quantitative effects require further study (167).
Grouping clinical studies based on their outcomes can provide valuable insights into their effectiveness. Firstly, among the negative outcomes, a FAP-targeting immunotoxin did not show sufficient therapeutic benefit in an early phase II clinical trial involving patients with advanced colorectal cancer (NCT02198274) (168). Similarly, imatinib, a PDGFR inhibitor, failed to demonstrate clinical benefit in patients with advanced pancreatic ductal adenocarcinoma (PDAC) in a multicenter phase II trial (NCT00161213) (169). Moving to inconclusive results, several phase I/II clinical trials have been conducted to investigate if paricalcitol, an analog of vitamin D2, will improve response to chemotherapies or immunotherapies in patients with PDAC, although a number of these trials are still awaiting conclusive results (155,166,170-172). Conversely, within the promising category, some combinations have shown more encouraging results. The phase IIa COMBAT clinical trial (NCT02826486) combining pembrolizumab, a programmed death 1 inhibitor, with BL-8040 (a CXCR4 antagonist) led to improved chemotherapy outcomes in patients with PDAC (173). While numerous CAF-related therapeutic targets have demonstrated potential in preclinical studies, only a few have successfully progressed into clinical trials. Babar et al (15) effectively summarized these trials, providing a comprehensive overview, including those on chemotherapeutic agents targeting CAFs and their EVs.
The use of EVs in cancer treatment holds promise, but it also presents several challenges that must be addressed. Several issues need further research and development to harness the full potential of EVs in cancer therapy. Current strategies targeting CAFs and CAF-derived EVs for tumor therapy have shown limited efficacy, which may be as a result of the fact that the origins of CAFs across cancer types remains unknown, as does the complete picture of subtypes and functional heterogeneity. Another challenge is minimizing unintended systemic and off-target effects associated with such targeted approaches.
Despite these limitations, EV-based strategies continue to offer opportunities for cancer treatment, particularly through the development of novel therapeutic platforms that combine conventional anticancer agents with approaches aimed at modulating CAF activity or CAF-derived EV signaling. Such combination strategies may enhance therapeutic efficacy while reducing resistance and tumor relapse. Consistent with this view, recent systematic evidence highlights that targeting CAF-derived exosomal communication, rather than CAF depletion alone, may represent a more feasible and biologically rational strategy for disrupting tumor-stroma crosstalk while preserving normal tissue homeostasis.
Finally, EV-based therapies have the potential to revolutionize cancer treatment and improve patient outcomes, particularly with respect to novel treatment strategies that combine existing anticancer agents and anti-CAF agents, which may be valuable and remain an area for cancer researchers to explore. Therefore, there is a need for further studies to improve the understanding of CAF biology, EV cargo heterogeneity and CAF subtype-specific EVs, with the aim of improving treatment outcomes through therapies targeting CAF-derived EV.
Not applicable.
Funding: This work was supported by a grant from the Coordination for the improvement of Higher Education Institutional Program of Internationalization (CAPES-PRINT; grant no. CAPES-PRINT 88887.894762/2023-00).
Not applicable.
USN and CAGR conceived and designed the study. USN and JEO developed the figures and visual content. The initial draft of the manuscript was written by USN, JEO and BRRC. BRRC and CAGR critically reviewed and revised the manuscript for intellectual content. MAA and IS conducted the final review and approved the manuscript for submission. All authors were involved in the design, review and approval of the final version of the manuscript, and agree to be accountable for all aspects of the work. Data authentication is not applicable. All authors read and approved the final manuscript.
Not applicable.
Not applicable.
The authors declare that they have no competing interests.
|
Brown JS, Amend SR, Austin RH, Gatenby RA, Hammarlund EU and Pienta KJ: Updating the definition of cancer. Mol Cancer Res. 21:1142–1147. 2023.PubMed/NCBI View Article : Google Scholar | |
|
Wang H, Naghavi M, Allen C, Barber RM, Bhutta Z, Carter AR, Casey DC, Charlson FJ, Chen A, Coates MM, et al: Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980-2015: A systematic analysis for the global burden of disease study 2015. Lancet. 388:1459–1544. 2016.PubMed/NCBI View Article : Google Scholar | |
|
Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I and Jemal A: Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 74:229–263. 2024.PubMed/NCBI View Article : Google Scholar | |
|
Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A and Bray F: Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 71:209–249. 2021.PubMed/NCBI View Article : Google Scholar | |
|
Balkwill FR, Capasso M and Hagemann T: The tumor microenvironment at a glance. J Cell Sci. 125:5591–5596. 2012.PubMed/NCBI View Article : Google Scholar | |
|
Quail DF and Joyce JA: Microenvironmental regulation of tumor progression and metastasis. Nat Med. 19:1423–1437. 2013.PubMed/NCBI View Article : Google Scholar | |
|
Sun H, Wang X, Wang X, Xu M and Sheng W: The role of cancer-associated fibroblasts in tumorigenesis of gastric cancer. Cell Death Dis. 13(874)2022.PubMed/NCBI View Article : Google Scholar | |
|
Cacho-Díaz B, García-Botello DR, Wegman-Ostrosky T, Reyes-Soto G, Ortiz-Sánchez E and Herrera-Montalvo LA: Tumor microenvironment differences between primary tumor and brain metastases. J Transl Med. 18(1)2020.PubMed/NCBI View Article : Google Scholar | |
|
Kim G, Pastoriza JM, Condeelis JS, Sparano JA, Filippou PS, Karagiannis GS and Oktay MH: The contribution of race to breast tumor microenvironment composition and disease progression. Front Oncol. 10(1022)2020.PubMed/NCBI View Article : Google Scholar | |
|
Kim S, Kim A, Shin JY and Seo JS: The tumor immune microenvironmental analysis of 2,033 transcriptomes across 7 cancer types. Sci Rep. 10(9536)2020.PubMed/NCBI View Article : Google Scholar | |
|
Shoucair I, Weber Mello F, Jabalee J, Maleki S and Garnis C: The role of cancer-associated fibroblasts and extracellular vesicles in tumorigenesis. Int J Mol Sci. 21(6837)2020.PubMed/NCBI View Article : Google Scholar | |
|
Hanahan D: Hallmarks of cancer: New dimensions. Cancer Discov. 12:31–46. 2022.PubMed/NCBI View Article : Google Scholar | |
|
Senga SS and Grose RP: Hallmarks of cancer-the new testament. Open Biol. 11(200358)2021.PubMed/NCBI View Article : Google Scholar | |
|
Xiao Y and Yu D: Tumor microenvironment as a therapeutic target in cancer. Pharmacol Ther. 221(107753)2021.PubMed/NCBI View Article : Google Scholar | |
|
Babar Q, Saeed A, Tabish TA, Sarwar M and Thorat ND: Targeting the tumor microenvironment: Potential strategy for cancer therapeutics. Biochim Biophys Acta Mol Basis Dis. 1869(166746)2023.PubMed/NCBI View Article : Google Scholar | |
|
Boomgarden AC, Sheehan C and D'Souza-Schorey C: Extracellular vesicles in the tumor microenvironment: Various implications in tumor progression. Adv Exp Med Biol. 1259:155–170. 2020.PubMed/NCBI View Article : Google Scholar | |
|
Helms E, Onate MK and Sherman MH: Fibroblast heterogeneity in the pancreatic tumor microenvironment. Cancer Discov. 10:648–656. 2020.PubMed/NCBI View Article : Google Scholar | |
|
Yang SS, Ma S, Dou H, Liu F, Zhang SY, Jiang C, Xiao M and Huang YX: Breast cancer-derived exosomes regulate cell invasion and metastasis in breast cancer via miR-146a to activate cancer associated fibroblasts in tumor microenvironment. Exp Cell Res. 391(111983)2020.PubMed/NCBI View Article : Google Scholar | |
|
Kalluri R: The biology and function of fibroblasts in cancer. Nat Rev Cancer. 16:582–598. 2016.PubMed/NCBI View Article : Google Scholar | |
|
Kalluri R and Zeisberg M: Fibroblasts in cancer. Nat Rev Cancer. 6:392–401. 2006.PubMed/NCBI View Article : Google Scholar | |
|
Yang J, Antin P, Berx G, Blanpain C, Brabletz T, Bronner M, Campbell K, Cano A, Casanova J, Christofori G, et al: Guidelines and definitions for research on epithelial-mesenchymal transition. Nat Rev Mol Cell Biol. 21:341–352. 2020.PubMed/NCBI View Article : Google Scholar | |
|
Mahadevan D and Von Hoff DD: Tumor-stroma interactions in pancreatic ductal adenocarcinoma. Mol Cancer Ther. 6:1186–1197. 2007.PubMed/NCBI View Article : Google Scholar | |
|
Baroni S, Romero-Cordoba S, Plantamura I, Dugo M, D'Ippolito E, Cataldo A, Cosentino G, Angeloni V, Rossini A, Daidone MG and Iorio MV: Exosome-mediated delivery of miR-9 induces cancer-associated fibroblast-like properties in human breast fibroblasts. Cell Death Dis. 7(e2312)2016.PubMed/NCBI View Article : Google Scholar | |
|
Chen B, Sang Y, Song X, Zhang D, Wang L, Zhao W, Liang Y, Zhang N and Yang Q: Exosomal miR-500a-5p derived from cancer-associated fibroblasts promotes breast cancer cell proliferation and metastasis through targeting USP28. Theranostics. 11:3932–3947. 2021.PubMed/NCBI View Article : Google Scholar | |
|
Fang Y, Zhou W, Rong Y, Kuang T, Xu X, Wu W, Wang D and Lou W: Exosomal miRNA-106b from cancer-associated fibroblast promotes gemcitabine resistance in pancreatic cancer. Exp Cell Res. 383(111543)2019.PubMed/NCBI View Article : Google Scholar | |
|
Bremnes RM, Dønnem T, Al-Saad S, Al-Shibli K, Andersen S, Sirera R, Camps C, Marinez I and Busund LT: The role of tumor stroma in cancer progression and prognosis: emphasis on carcinoma-associated fibroblasts and non-small cell lung cancer. J Thorac Oncol. 6:209–217. 2011.PubMed/NCBI View Article : Google Scholar | |
|
Sahai E, Astsaturov I, Cukierman E, DeNardo DG, Egeblad M, Evans RM, Fearon D, Greten FR, Hingorani SR, Hunter T, et al: A framework for advancing our understanding of cancer-associated fibroblasts. Nat Rev Cancer. 20:174–186. 2020.PubMed/NCBI View Article : Google Scholar | |
|
Affo S, Nair A, Brundu F, Ravichandra A, Bhattacharjee S, Matsuda M, Chin L, Filliol A, Wen W, Song X, et al: Promotion of cholangiocarcinoma growth by diverse cancer-associated fibroblast subpopulations. Cancer Cell. 39:866–882.e11. 2021.PubMed/NCBI View Article : Google Scholar | |
|
Unterleuthner D, Neuhold P, Schwarz K, Janker L, Neuditschko B, Nivarthi H, Crncec I, Kramer N, Unger C, Hengstschläger M, et al: Cancer-associated fibroblast-derived WNT2 increases tumor angiogenesis in colon cancer. Angiogenesis. 23:159–177. 2020.PubMed/NCBI View Article : Google Scholar | |
|
Monteran L and Erez N: The dark side of fibroblasts: Cancer-associated fibroblasts as mediators of immunosuppression in the tumor microenvironment. Front Immunol. 10(1835)2019.PubMed/NCBI View Article : Google Scholar | |
|
Su S, Chen J, Yao H, Liu J, Yu S, Lao L, Wang M, Luo M, Xing Y, Chen F, et al: CD10+GPR77+ cancer-associated fibroblasts promote cancer formation and chemoresistance by sustaining cancer stemness. Cell. 172:841–856.e16. 2018.PubMed/NCBI View Article : Google Scholar | |
|
LeBleu VS and Kalluri R: A peek into cancer-associated fibroblasts: Origins, functions and translational impact. Dis Model Mech. 11(dmm029447)2018.PubMed/NCBI View Article : Google Scholar | |
|
Norton J, Foster D, Chinta M, Titan A and Longaker M: Pancreatic cancer associated fibroblasts (CAF): Under-explored target for pancreatic cancer treatment. Cancers (Basel). 12(1347)2020.PubMed/NCBI View Article : Google Scholar | |
|
Glabman RA, Choyke PL and Sato N: Cancer-associated fibroblasts: Tumorigenicity and targeting for cancer therapy. Cancers (Basel). 14(3906)2022.PubMed/NCBI View Article : Google Scholar | |
|
Liu DZ, Chang B, Li XD, Zhang QH and Zou YH: MicroRNA-9 promotes the proliferation, migration, and invasion of breast cancer cells via down-regulating FOXO1. Clin Transl Oncol. 19:1133–1140. 2017.PubMed/NCBI View Article : Google Scholar | |
|
Liu Y, Hua F, Zhan Y, Yang Y, Xie J, Cheng Y and Li F: Carcinoma associated fibroblasts small extracellular vesicles with low miR-7641 promotes breast cancer stemness and glycolysis by HIF-1α. Cell Death Discov. 7(176)2021.PubMed/NCBI View Article : Google Scholar | |
|
Chen B, Chan WN, Xie F, Mui CW, Liu X, Cheung AHK, Lung RWM, Chow C, Zhang Z, Fang C, et al: The molecular classification of cancer-associated fibroblasts on a pan-cancer single-cell transcriptional atlas. Clin Transl Med. 13(e1516)2023.PubMed/NCBI View Article : Google Scholar | |
|
Labernadie A, Kato T, Brugués A, Serra-Picamal X, Derzsi S, Arwert E, Weston A, González-Tarragó V, Elosegui-Artola A, Albertazzi L, et al: A mechanically active heterotypic E-cadherin/N-cadherin adhesion enables fibroblasts to drive cancer cell invasion. Nat Cell Biol. 19:224–237. 2017.PubMed/NCBI View Article : Google Scholar | |
|
Nurmik M, Ullmann P, Rodriguez F, Haan S and Letellier E: In search of definitions: Cancer-associated fibroblasts and their markers. Int J Cancer. 146:895–905. 2020.PubMed/NCBI View Article : Google Scholar | |
|
Ping Q, Yan R, Cheng X, Wang W, Zhong Y, Hou Z, Shi Y, Wang C and Li R: Cancer-associated fibroblasts: Overview, progress, challenges, and directions. Cancer Gene Ther. 28:984–999. 2021.PubMed/NCBI View Article : Google Scholar | |
|
Shiga K, Hara M, Nagasaki T, Sato T, Takahashi H and Takeyama H: Cancer-associated fibroblasts: Their characteristics and their roles in tumor growth. Cancers (Basel). 7:2443–2458. 2015.PubMed/NCBI View Article : Google Scholar | |
|
Jia C, Wang G, Wang T, Fu B, Zhang Y, Huang L, Deng Y, Chen G, Wu X, Chen J, et al: Cancer-associated fibroblasts induce epithelial-mesenchymal transition via the transglutaminase 2-dependent IL-6/IL6R/STAT3 axis in hepatocellular carcinoma. Int J Biol Sci. 16:2542–2558. 2020.PubMed/NCBI View Article : Google Scholar | |
|
Long KB, Tooker G, Tooker E, Luque SL, Lee JW, Pan X and Beatty GL: IL6 receptor blockade enhances chemotherapy efficacy in pancreatic ductal adenocarcinoma. Mol Cancer Ther. 16:1898–1908. 2017.PubMed/NCBI View Article : Google Scholar | |
|
Sun Q, Zhang B, Hu Q, Qin Y, Xu W, Liu W, Yu X and Xu J: The impact of cancer-associated fibroblasts on major hallmarks of pancreatic cancer. Theranostics. 8:5072–5087. 2018.PubMed/NCBI View Article : Google Scholar | |
|
Öhlund D, Handly-Santana A, Biffi G, Elyada E, Almeida AS, Ponz-Sarvise M, Corbo V, Oni TE, Hearn SA, Lee EJ, et al: Distinct populations of inflammatory fibroblasts and myofibroblasts in pancreatic cancer. J Exp Med. 214:579–596. 2017.PubMed/NCBI View Article : Google Scholar | |
|
Elyada E, Bolisetty M, Laise P, Flynn WF, Courtois ET, Burkhart RA, Teinor JA, Belleau P, Biffi G, Lucito MS, et al: Cross-Species single-cell analysis of pancreatic ductal adenocarcinoma reveals antigen-presenting cancer-associated fibroblasts. Cancer Discov. 9:1102–1123. 2019.PubMed/NCBI View Article : Google Scholar | |
|
Rhim AD, Oberstein PE, Thomas DH, Mirek ET, Palermo CF, Sastra SA, Dekleva EN, Saunders T, Becerra CP, Tattersall IW, et al: Stromal elements act to restrain, rather than support, pancreatic ductal adenocarcinoma. Cancer Cell. 25:735–747. 2014.PubMed/NCBI View Article : Google Scholar | |
|
Mizutani Y, Kobayashi H, Iida T, Asai N, Masamune A, Hara A, Esaki N, Ushida K, Mii S, Shiraki Y, et al: Meflin-positive cancer-associated fibroblasts inhibit pancreatic carcinogenesis. Cancer Res. 79:5367–5381. 2019.PubMed/NCBI View Article : Google Scholar | |
|
Chen X and Song E: Turning foes to friends: Targeting cancer-associated fibroblasts. Nat Rev Drug Discov. 18:99–115. 2019.PubMed/NCBI View Article : Google Scholar | |
|
Trams EG, Lauter CJ, Salem N Jr and Heine U: Exfoliation of membrane ecto-enzymes in the form of micro-vesicles. Biochim Biophys Acta. 645:63–70. 1981.PubMed/NCBI View Article : Google Scholar | |
|
Becker A, Thakur BK, Weiss JM, Kim HS, Peinado H and Lyden D: Extracellular vesicles in cancer: Cell-to-cell mediators of metastasis. Cancer Cell. 30:836–848. 2016.PubMed/NCBI View Article : Google Scholar | |
|
Sheehan C and D'Souza-Schorey C: Tumor-derived extracellular vesicles: Molecular parcels that enable regulation of the immune response in cancer. J Cell Sci. 132(jcs235085)2019.PubMed/NCBI View Article : Google Scholar | |
|
van Niel G, D'Angelo G and Raposo G: Shedding light on the cell biology of extracellular vesicles. Nat Rev Mol Cell Biol. 19:213–228. 2018.PubMed/NCBI View Article : Google Scholar | |
|
Willms E, Cabañas C, Mäger I, Wood MJA and Vader P: Extracellular vesicle heterogeneity: Subpopulations, isolation techniques, and diverse functions in cancer progression. Front Immunol. 9(738)2018.PubMed/NCBI View Article : Google Scholar | |
|
Chang WH, Cerione RA and Antonyak MA: Extracellular vesicles and their roles in cancer progression. Methods Mol Biol. 2174:143–170. 2021.PubMed/NCBI View Article : Google Scholar | |
|
Hessvik NP and Llorente A: Current knowledge on exosome biogenesis and release. Cell Mol Life Sci. 75:193–208. 2018.PubMed/NCBI View Article : Google Scholar | |
|
Latifkar A, Hur YH, Sanchez JC, Cerione RA and Antonyak MA: New insights into extracellular vesicle biogenesis and function. J Cell Sci. 132(jcs222406)2019.PubMed/NCBI View Article : Google Scholar | |
|
Maas SLN, Breakefield XO and Weaver AM: Extracellular vesicles: Unique intercellular delivery vehicles. Trends Cell Biol. 27:172–188. 2017.PubMed/NCBI View Article : Google Scholar | |
|
Zhang Y, Liu Y, Liu H and Tang WH: Exosomes: Biogenesis, biologic function and clinical potential. Cell Biosci. 9(19)2019.PubMed/NCBI View Article : Google Scholar | |
|
Xie C, Ji N, Tang Z, Li J and Chen Q: The role of extracellular vesicles from different origin in the microenvironment of head and neck cancers. Mol Cancer. 18(83)2019.PubMed/NCBI View Article : Google Scholar | |
|
Mathieu M, Martin-Jaular L, Lavieu G and Théry C: Specificities of secretion and uptake of exosomes and other extracellular vesicles for cell-to-cell communication. Nat Cell Biol. 21:9–17. 2019.PubMed/NCBI View Article : Google Scholar | |
|
Tricarico C, Clancy J and D'Souza-Schorey C: Biology and biogenesis of shed microvesicles. Small GTPases. 8:220–232. 2017.PubMed/NCBI View Article : Google Scholar | |
|
Muralidharan-Chari V, Clancy JW, Sedgwick A and D'Souza-Schorey C: Microvesicles: Mediators of extracellular communication during cancer progression. J Cell Sci. 123:1603–1611. 2010.PubMed/NCBI View Article : Google Scholar | |
|
Yáñez-Mó M, Siljander PRM, Andreu Z, Zavec AB, Borràs FE, Buzas EI, Buzas K, Casal E, Cappello F, Carvalho J, et al: Biological properties of extracellular vesicles and their physiological functions. J Extracell Vesicles. 4(27066)2015.PubMed/NCBI View Article : Google Scholar | |
|
Clancy JW and D'Souza-Schorey C: Tumor-derived extracellular vesicles: Multifunctional entities in the tumor microenvironment. Annu Rev Pathol. 18:205–229. 2023.PubMed/NCBI View Article : Google Scholar | |
|
Zhang Y, Liang F, Zhang D, Qi S and Liu Y: Metabolites as extracellular vesicle cargo in health, cancer, pleural effusion, and cardiovascular diseases: An emerging field of study to diagnostic and therapeutic purposes. Biomed Pharmacother. 157(114046)2023.PubMed/NCBI View Article : Google Scholar | |
|
Qin W and Dallas SL: Exosomes and extracellular RNA in muscle and bone aging and crosstalk. Curr Osteoporos Rep. 17:548–559. 2019.PubMed/NCBI View Article : Google Scholar | |
|
Lee TH, Chennakrishnaiah S, Meehan B, Montermini L, Garnier D, D'Asti E, Hou W, Magnus N, Gayden T, Jabado N, et al: Barriers to horizontal cell transformation by extracellular vesicles containing oncogenic H-ras. Oncotarget. 7:51991–52002. 2016.PubMed/NCBI View Article : Google Scholar | |
|
Al-Nedawi K, Meehan B, Micallef J, Lhotak V, May L, Guha A and Rak J: Intercellular transfer of the oncogenic receptor EGFRvIII by microvesicles derived from tumour cells. Nat Cell Biol. 10:619–624. 2008.PubMed/NCBI View Article : Google Scholar | |
|
Skog J, Würdinger T, Van Rijn S, Meijer DH, Gainche L, Sena-Esteves M, Curry WT Jr, Carter BS, Krichevsky AM and Breakefield XO: Glioblastoma microvesicles transport RNA and proteins that promote tumour growth and provide diagnostic biomarkers. Nat Cell Biol. 10:1470–1476. 2008.PubMed/NCBI View Article : Google Scholar | |
|
Castillo-Sanchez R, Churruca-Schuind A, Martinez-Ival M and Salazar EP: Cancer-associated fibroblasts communicate with breast tumor cells through extracellular vesicles in tumor development. Technol Cancer Res Treat. 21(15330338221131647)2022.PubMed/NCBI View Article : Google Scholar | |
|
Drake CG, Jaffee E and Pardoll DM: Mechanisms of immune evasion by tumors. Adv Immunol. 90:51–81. 2006.PubMed/NCBI View Article : Google Scholar | |
|
Gajewski TF, Meng Y, Blank C, Brown I, Kacha A, Kline J and Harlin H: Immune resistance orchestrated by the tumor microenvironment. Immunol Rev. 213:131–145. 2006.PubMed/NCBI View Article : Google Scholar | |
|
Piao YJ, Kim HS, Hwang EH, Woo J, Zhang M and Moon WK: Breast cancer cell-derived exosomes and macrophage polarization are associated with lymph node metastasis. Oncotarget. 9:7398–7410. 2017.PubMed/NCBI View Article : Google Scholar | |
|
Clayton A and Tabi Z: Exosomes and the MICA-NKG2D system in cancer. Blood Cells Mol Dis. 34:206–213. 2005.PubMed/NCBI View Article : Google Scholar | |
|
He C, Wang L, Li L and Zhu G: Extracellular vesicle-orchestrated crosstalk between cancer-associated fibroblasts and tumors. Transl Oncol. 14(101231)2021.PubMed/NCBI View Article : Google Scholar | |
|
Cho JA, Park H, Lim EH and Lee KW: Exosomes from breast cancer cells can convert adipose tissue-derived mesenchymal stem cells into myofibroblast-like cells. Int J Oncol. 40:130–138. 2012.PubMed/NCBI View Article : Google Scholar | |
|
Li K, Liu T, Chen J, Ni H and Li W: Survivin in breast cancer-derived exosomes activates fibroblasts by up-regulating SOD1, whose feedback promotes cancer proliferation and metastasis. J Biol Chem. 295:13737–13752. 2020.PubMed/NCBI View Article : Google Scholar | |
|
Vu LT, Peng B, Zhang DX, Ma V, Mathey-Andrews CA, Lam CK, Kiomourtzis T, Jin J, McReynolds L, Huang L, et al: Tumor-secreted extracellular vesicles promote the activation of cancer-associated fibroblasts via the transfer of microRNA-125b. J Extracell Vesicles. 8(1599680)2019.PubMed/NCBI View Article : Google Scholar | |
|
Dörsam B, Bösl T, Reiners KS, Barnert S, Schubert R, Shatnyeva O, Zigrino P, Engert A, Hansen HP and von Strandmann EP: Hodgkin lymphoma-derived extracellular vesicles change the secretome of fibroblasts toward a CAF phenotype. Front Immunol. 9(1358)2018.PubMed/NCBI View Article : Google Scholar | |
|
Alamoudi AA, Alnoury A and Gad H: miRNA in tumour metabolism and why could it be the preferred pathway for energy reprograming. Brief Funct Genomics. 17:157–169. 2018.PubMed/NCBI View Article : Google Scholar | |
|
Santos JM and Hussain F: Higher glucose enhances breast cancer cell aggressiveness. Nutr Cancer. 72:734–746. 2020.PubMed/NCBI View Article : Google Scholar | |
|
Sung JS, Kang CW, Kang S, Jang Y, Chae YC, Kim BG and Cho NH: ITGB4-mediated metabolic reprogramming of cancer-associated fibroblasts. Oncogene. 39:664–676. 2020.PubMed/NCBI View Article : Google Scholar | |
|
Tao S, Li H, Ma X, Ma Y, He J, Gao Y and Li J: Elevating microRNA-1-3p shuttled by cancer-associated fibroblasts-derived extracellular vesicles suppresses breast cancer progression and metastasis by inhibiting GLIS1. Cancer Gene Ther. 28:634–648. 2021.PubMed/NCBI View Article : Google Scholar | |
|
Yang Y, Bucan V, Baehre H, Von Der Ohe J, Otte A and Hass R: Acquisition of new tumor cell properties by MSC-derived exosomes. Int J Oncol. 47:244–252. 2015.PubMed/NCBI View Article : Google Scholar | |
|
Zhou W, Fong MY, Min Y, Somlo G, Liu L, Palomares MR, Yu Y, Chow A, O'Connor ST, Chin AR, et al: Cancer-secreted miR-105 destroys vascular endothelial barriers to promote metastasis. Cancer Cell. 25:501–515. 2014.PubMed/NCBI View Article : Google Scholar | |
|
Bao Q, Huang Q, Chen Y, Wang Q, Sang R, Wang L, Xie Y and Chen W: Tumor-derived extracellular vesicles regulate cancer progression in the tumor microenvironment. Front Mol Biosci. 8(796385)2022.PubMed/NCBI View Article : Google Scholar | |
|
Mao X, Xu J, Wang W, Liang C, Hua J, Liu J, Zhang B, Meng Q, Yu X and Shi S: Crosstalk between cancer-associated fibroblasts and immune cells in the tumor microenvironment: New findings and future perspectives. Mol Cancer. 20(131)2021.PubMed/NCBI View Article : Google Scholar | |
|
Adib A, Sahu R, Mohta S, Pollock RE and Casadei L: Cancer-derived extracellular vesicles: Their role in sarcoma. Life (Basel). 12(481)2022.PubMed/NCBI View Article : Google Scholar | |
|
Najafi M, Farhood B and Mortezaee K: Extracellular matrix (ECM) stiffness and degradation as cancer drivers. J Cell Biochem. 120:2782–2790. 2019.PubMed/NCBI View Article : Google Scholar | |
|
Cosentino G, Romero-Cordoba S, Plantamura I, Cataldo A and Iorio MV: miR-9-mediated inhibition of EFEMP1 contributes to the acquisition of pro-tumoral properties in normal fibroblasts. Cells. 9(2143)2020.PubMed/NCBI View Article : Google Scholar | |
|
Donnarumma E, Fiore D, Nappa M, Roscigno G, Adamo A, Iaboni M, Russo V, Affinito A, Puoti I, Quintavalle C, et al: Cancer-associated fibroblasts release exosomal microRNAs that dictate an aggressive phenotype in breast cancer. Oncotarget. 8:19592–19608. 2017.PubMed/NCBI View Article : Google Scholar | |
|
Hu JL, Wang W, Lan XL, Zeng ZC, Liang YS, Yan YR, Song FY, Wang FF, Zhu XH, Liao WJ, et al: CAFs secreted exosomes promote metastasis and chemotherapy resistance by enhancing cell stemness and epithelial-mesenchymal transition in colorectal cancer. Mol Cancer. 18(91)2019.PubMed/NCBI View Article : Google Scholar | |
|
Josson S, Gururajan M, Sung SY, Hu P, Shao C, Zhau HE, Liu C, Lichterman J, Duan P, Li Q, et al: Stromal fibroblast-derived miR-409 promotes epithelial-to-mesenchymal transition and prostate tumorigenesis. Oncogene. 34:2690–2699. 2015.PubMed/NCBI View Article : Google Scholar | |
|
Ratti M, Lampis A, Ghidini M, Salati M, Mirchev MB, Valeri N and Hahne JC: MicroRNAs (miRNAs) and long non-coding RNAs (lncRNAs) as new tools for cancer therapy: First steps from bench to bedside. Target Oncol. 15:261–278. 2020.PubMed/NCBI View Article : Google Scholar | |
|
Pang W, Su J, Wang Y, Feng H, Dai X, Yuan Y, Chen X and Yao W: Pancreatic cancer-secreted miR-155 implicates in the conversion from normal fibroblasts to cancer-associated fibroblasts. Cancer Sci. 106:1362–1369. 2015.PubMed/NCBI View Article : Google Scholar | |
|
Yoshii S, Hayashi Y, Iijima H, Inoue T, Kimura K, Sakatani A, Nagai K, Fujinaga T, Hiyama S, Kodama T, et al: Exosomal microRNAs derived from colon cancer cells promote tumor progression by suppressing fibroblast TP53 expression. Cancer Sci. 110:2396–2407. 2019.PubMed/NCBI View Article : Google Scholar | |
|
Urciuoli E, Giorda E, Scarsella M, Petrini S and Peruzzi B: Osteosarcoma-derived extracellular vesicles induce a tumor-like phenotype in normal recipient cells. J Cell Physiol. 233:6158–6172. 2018.PubMed/NCBI View Article : Google Scholar | |
|
Hu T and Hu J: Melanoma-derived exosomes induce reprogramming fibroblasts into cancer-associated fibroblasts via Gm26809 delivery. Cell Cycle. 18:3085–3094. 2019.PubMed/NCBI View Article : Google Scholar | |
|
Carles-Fontana R, Heaton N, Palma E and Khorsandi S: Extracellular vesicle-mediated mitochondrial reprogramming in cancer. Cancers (Basel). 14(1865)2022.PubMed/NCBI View Article : Google Scholar | |
|
Fridman ES, Ginini L and Gil Z: The role of extracellular vesicles in metabolic reprogramming of the tumor microenvironment. Cells. 11(1433)2022.PubMed/NCBI View Article : Google Scholar | |
|
Chen G, Huang AC, Zhang W, Zhang G, Wu M, Xu W, Yu Z, Yang J, Wang B, Sun H, et al: Exosomal PD-L1 contributes to immunosuppression and is associated with anti-PD-1 response. Nature. 560:382–386. 2018.PubMed/NCBI View Article : Google Scholar | |
|
Poggio M, Hu T, Pai CC, Chu B, Belair CD, Chang A, Montabana E, Lang UE, Fu Q, Fong L and Blelloch R: Suppression of exosomal PD-L1 induces systemic anti-tumor immunity and memory. Cell. 177:414–427.e13. 2019.PubMed/NCBI View Article : Google Scholar | |
|
Ricklefs FL, Alayo Q, Krenzlin H, Mahmoud AB, Speranza MC, Nakashima H, Hayes JL, Lee K, Balaj L, Passaro C, et al: Immune evasion mediated by PD-L1 on glioblastoma-derived extracellular vesicles. Sci Adv. 4(eaar2766)2018.PubMed/NCBI View Article : Google Scholar | |
|
Feng R, Li Z, Ge G, Wang C, Jia Y and Ouyang J: Cancer-associated fibroblast-derived extracellular vesicles mediate immune escape of bladder cancer via PD-L1/PD-1 expression. Endocr Metab Immune Disord Drug Targets. 23:1410–1420. 2023.PubMed/NCBI View Article : Google Scholar | |
|
Yang J, Chen J, Liang H and Yu Y: Nasopharyngeal cancer cell-derived exosomal PD-L1 inhibits CD8+ T-cell activity and promotes immune escape. Cancer Sci. 113:3044–3054. 2022.PubMed/NCBI View Article : Google Scholar | |
|
Chowdhury R, Webber JP, Gurney M, Mason MD, Tabi Z and Clayton A: Cancer exosomes trigger mesenchymal stem cell differentiation into pro-angiogenic and pro-invasive myofibroblasts. Oncotarget. 6:715–731. 2015.PubMed/NCBI View Article : Google Scholar | |
|
Ringuette Goulet C, Bernard G, Tremblay S, Chabaud S, Bolduc S and Pouliot F: Exosomes induce fibroblast differentiation into cancer-associated fibroblasts through TGFβ signaling. Mol Cancer Res. 16:1196–1204. 2018.PubMed/NCBI View Article : Google Scholar | |
|
Webber JP, Spary LK, Sanders AJ, Chowdhury R, Jiang WG, Steadman R, Wymant J, Jones AT, Kynaston H, Mason MD, et al: Differentiation of tumour-promoting stromal myofibroblasts by cancer exosomes. Oncogene. 34:290–302. 2015.PubMed/NCBI View Article : Google Scholar | |
|
Webber J, Steadman R, Mason MD, Tabi Z and Clayton A: Cancer exosomes trigger fibroblast to myofibroblast differentiation. Cancer Res. 70:9621–9630. 2010.PubMed/NCBI View Article : Google Scholar | |
|
Wei M, Yang T, Chen X, Wu Y, Deng X, He W, Yang J and Wang Z: Malignant ascites-derived exosomes promote proliferation and induce carcinoma-associated fibroblasts transition in peritoneal mesothelial cells. Oncotarget. 8:42262–42271. 2017.PubMed/NCBI View Article : Google Scholar | |
|
Yeon JH, Jeong HE, Seo H, Cho S, Kim K, Na D, Chung S, Park J, Choi N and Kang JY: Cancer-derived exosomes trigger endothelial to mesenchymal transition followed by the induction of cancer-associated fibroblasts. Acta Biomater. 76:146–153. 2018.PubMed/NCBI View Article : Google Scholar | |
|
Lin Z, Li G, Jiang K, Li Z and Liu T: Cancer therapy resistance mediated by cancer-associated fibroblast-derived extracellular vesicles: Biological mechanisms to clinical significance and implications. Mol Cancer. 23(191)2024.PubMed/NCBI View Article : Google Scholar | |
|
Musi A and Bongiovanni L: Extracellular vesicles in cancer drug resistance: Implications on melanoma therapy. Cancers (Basel). 15(1074)2023.PubMed/NCBI View Article : Google Scholar | |
|
Federspiel J, Dudas J, Hofauer BG, Wollenberg B and Steinbichler TB: Cancer-associated fibroblasts-derived exosomes as mediators of immunotherapy resistance in head and neck squamous cell carcinoma. Cells. 14(1978)2025.PubMed/NCBI View Article : Google Scholar | |
|
Yang C, Zhang Y, Yan M, Wang J, Wang J, Wang M, Xuan Y, Cheng H, Ma J, Chai C, et al: Exosomes derived from cancer-associated fibroblasts promote tumorigenesis, metastasis and chemoresistance of colorectal cancer by upregulating circ_0067557 to target Lin28. BMC Cancer. 24(64)2024.PubMed/NCBI View Article : Google Scholar | |
|
Singh M, Tiwari PK, Kashyap V and Kumar S: Proteomics of extracellular vesicles: Recent updates, challenges and limitations. Proteomes. 13(12)2025.PubMed/NCBI View Article : Google Scholar | |
|
Hoshino A, Costa-Silva B, Shen TL, Rodrigues G, Hashimoto A, Tesic Mark M, Molina H, Kohsaka S, Di Giannatale A, Ceder S, et al: Tumour exosome integrins determine organotropic metastasis. Nature. 527:329–335. 2015.PubMed/NCBI View Article : Google Scholar | |
|
Andreu Z and Yáñez-Mó M: Tetraspanins in extracellular vesicle formation and function. Front Immunol. 5(442)2014.PubMed/NCBI View Article : Google Scholar | |
|
Li I and Nabet BY: Exosomes in the tumor microenvironment as mediators of cancer therapy resistance. Mol Cancer. 18(32)2019.PubMed/NCBI View Article : Google Scholar | |
|
Naito Y, Yoshioka Y, Yamamoto Y and Ochiya T: How cancer cells dictate their microenvironment: Present roles of extracellular vesicles. Cell Mol Life Sci. 74:697–713. 2017.PubMed/NCBI View Article : Google Scholar | |
|
Kalluri R and LeBleu VS: The biology, function, and biomedical applications of exosomes. Science. 367(eaau6977)2020.PubMed/NCBI View Article : Google Scholar | |
|
Nazarenko I, Rana S, Baumann A, McAlear J, Hellwig A, Trendelenburg M, Lochnit G, Preissner KT and Zöller M: Cell surface tetraspanin Tspan8 contributes to molecular pathways of exosome-induced endothelial cell activation. Cancer Res. 70:1668–1678. 2010.PubMed/NCBI View Article : Google Scholar | |
|
Fang H, Dai W, Gu R, Zhang Y, Li J, Luo W, Tong S, Han L, Wang Y, Jiang C, et al: myCAF-derived exosomal PWAR6 accelerates CRC liver metastasis via altering glutamine availability and NK cell function in the tumor microenvironment. J Hematol Oncol. 17(126)2024.PubMed/NCBI View Article : Google Scholar | |
|
Peng Z, Tong Z, Ren Z, Ye M and Hu K: Cancer-associated fibroblasts and its derived exosomes: A new perspective for reshaping the tumor microenvironment. Mol Med. 29(66)2023.PubMed/NCBI View Article : Google Scholar | |
|
Gou Z, Li J, Liu J and Yang N: The hidden messengers: Cancer associated fibroblasts-derived exosomal miRNAs as key regulators of cancer malignancy. Front Cell Dev Biol. 12(1378302)2024.PubMed/NCBI View Article : Google Scholar | |
|
Chen WQ, Chen KX, He YT, Jia WH, Liu ZH, Ma HX, Miao XP, Pan KF, Wu C, Xia CF, et al: Expert consensus on liquid biopsy-based multi-cancer early detection (2025 edition). Zhonghua Zhong Liu Za Zhi. 47:558–574. 2025.PubMed/NCBI View Article : Google Scholar : (In Chinese). | |
|
Chang L, Li J and Zhang R: Liquid biopsy for early diagnosis of non-small cell lung carcinoma: Recent research and detection technologies. Biochim Biophys Acta Rev Cancer. 1877(188729)2022.PubMed/NCBI View Article : Google Scholar | |
|
Bao H, Min L, Bu F, Wang S and Meng J: Recent advances of liquid biopsy: Interdisciplinary strategies toward clinical decision-making. Interdiscip Med. 1(e20230021)2023. | |
|
Marrugo-Ramírez J, Mir M and Samitier J: Blood-Based cancer biomarkers in liquid biopsy: A promising non-invasive alternative to tissue biopsy. Int J Mol Sci. 19(2877)2018.PubMed/NCBI View Article : Google Scholar | |
|
Shai S, Patolsky F, Drori H, Scheinman EJ, Davidovits E, Davidovits G, Tirman S, Arber N, Katz A and Adir Y: A novel, accurate, and non-invasive liquid biopsy test to measure cellular immune responses as a tool to diagnose early-stage lung cancer: A clinical trials study. Respir Res. 24(52)2023.PubMed/NCBI View Article : Google Scholar | |
|
Akers JC, Ramakrishnan V, Kim R, Skog J, Nakano I, Pingle S, Kalinina J, Hua W, Kesari S, Mao Y, et al: MiR-21 in the extracellular vesicles (EVs) of cerebrospinal fluid (CSF): A platform for glioblastoma biomarker development. PLoS One. 8(e78115)2013.PubMed/NCBI View Article : Google Scholar | |
|
Arraud N, Linares R, Tan S, Gounou C, Pasquet JM, Mornet S and Brisson AR: Extracellular vesicles from blood plasma: Determination of their morphology, size, phenotype and concentration. J Thromb Haemost. 12:614–627. 2014.PubMed/NCBI View Article : Google Scholar | |
|
Van Der Pol E, Böing AN, Harrison P, Sturk A and Nieuwland R: Classification, functions, and clinical relevance of extracellular vesicles. Pharmacol Rev. 64:676–705. 2012.PubMed/NCBI View Article : Google Scholar | |
|
Costa A, Kieffer Y, Scholer-Dahirel A, Pelon F, Bourachot B, Cardon M, Sirven P, Magagna I, Fuhrmann L, Bernard C, et al: Fibroblast heterogeneity and immunosuppressive environment in human breast cancer. Cancer Cell. 33:463–479.e10. 2018.PubMed/NCBI View Article : Google Scholar | |
|
Zhang H and Lyden D: Asymmetric-flow field-flow fractionation technology for exomere and small extracellular vesicle separation and characterization. Nat Protoc. 14:1027–1053. 2019.PubMed/NCBI View Article : Google Scholar | |
|
Hannon G, Lysaght J, Liptrott NJ and Prina-Mello A: Immunotoxicity considerations for next generation cancer nanomedicines. Adv Sci (Weinh). 6(1900133)2019.PubMed/NCBI View Article : Google Scholar | |
|
Tibbitt MW, Dahlman JE and Langer R: Emerging frontiers in drug delivery. J Am Chem Soc. 138:704–717. 2016.PubMed/NCBI View Article : Google Scholar | |
|
Kamerkar S, LeBleu VS, Sugimoto H, Yang S, Ruivo CF, Melo SA, Lee JJ and Kalluri R: Exosomes facilitate therapeutic targeting of oncogenic KRAS in pancreatic cancer. Nature. 546:498–503. 2017.PubMed/NCBI View Article : Google Scholar | |
|
Debela DT, Muzazu SG, Heraro KD, Ndalama MT, Mesele BW, Haile DC, Kitui SK and Manyazewal T: New approaches and procedures for cancer treatment: Current perspectives. SAGE Open Med. 9(20503121211034366)2021.PubMed/NCBI View Article : Google Scholar | |
|
Datta M, Coussens LM, Nishikawa H, Hodi FS and Jain RK: Reprogramming the tumor microenvironment to improve immunotherapy: Emerging strategies and combination therapies. Am Soc Clin Oncol Educ Book. 39:165–174. 2019.PubMed/NCBI View Article : Google Scholar | |
|
Jarosz-Biej M, Smolarczyk R, Cichoń T and Szala S: Reprogramming of tumor microenvironment in therapy. In: Cancer Immunology. Rezaei N (ed). Springer International Publishing, Cham, pp403-412, 2021. | |
|
Hu M and Huang L: Strategies targeting tumor immune and stromal microenvironment and their clinical relevance. Adv Drug Deliv Rev. 183(114137)2022.PubMed/NCBI View Article : Google Scholar | |
|
Nedaeinia R, Najafgholian S, Salehi R, Goli M, Ranjbar M, Nickho H, Haghjooy Javanmard S, A Ferns G and Manian M: The role of cancer-associated fibroblasts and exosomal miRNAs-mediated intercellular communication in the tumor microenvironment and the biology of carcinogenesis: A systematic review. Cell Death Discov. 10(380)2024.PubMed/NCBI View Article : Google Scholar | |
|
Lakins MA, Ghorani E, Munir H, Martins CP and Shields JD: Cancer-associated fibroblasts induce antigen-specific deletion of CD8 + T Cells to protect tumour cells. Nat Commun. 9(948)2018.PubMed/NCBI View Article : Google Scholar | |
|
Geng X, Chen H, Zhao L, Hu J, Yang W, Li G, Cheng C, Zhao Z, Zhang T, Li L and Sun B: Cancer-associated fibroblast (CAF) heterogeneity and targeting therapy of CAFs in pancreatic cancer. Front Cell Dev Biol. 9(655152)2021.PubMed/NCBI View Article : Google Scholar | |
|
Guo T and Xu J: Cancer-associated fibroblasts: A versatile mediator in tumor progression, metastasis, and targeted therapy. Cancer Metastasis Rev. 43:1095–1116. 2024.PubMed/NCBI View Article : Google Scholar | |
|
Badran O, Cohen I and Bar-Sela G: Cancer-associated fibroblasts in solid tumors and sarcomas: Heterogeneity, function, and therapeutic implications. Cells. 14(1398)2025.PubMed/NCBI View Article : Google Scholar | |
|
Ritter A, Hoock SC, Kreis NN, Roth S, Torres Colin RC, Friemel A, Wildner JM, Scherr I, Louwen F, Solbach C and Yuan J: Obesity- and tumor-derived signals drive cancer-associated state transitions in breast mesenchymal stromal/stem cells reprogrammed by IL1RA or JAK inhibition. Exp Hematol Oncol. 15(16)2026.PubMed/NCBI View Article : Google Scholar | |
|
Lau NCH and Yam JWP: From exosome biogenesis to absorption: Key takeaways for cancer research. Cancers (Basel). 15(1992)2023.PubMed/NCBI View Article : Google Scholar | |
|
Sinha D, Roy S, Saha P, Chatterjee N and Bishayee A: Trends in research on exosomes in cancer progression and anticancer therapy. Cancers (Basel). 13(326)2021.PubMed/NCBI View Article : Google Scholar | |
|
Mortezaee K and Majidpoor J: An update of extracellular vesicle involvement in different steps of cancer metastasis and targeting strategies. Curr Med Chem. 31:4495–4509. 2024.PubMed/NCBI View Article : Google Scholar | |
|
Sun H, Burrola S, Wu J and Ding WQ: Extracellular vesicles in the development of cancer therapeutics. Int J Mol Sci. 21(6097)2020.PubMed/NCBI View Article : Google Scholar | |
|
Xiao S, Chen L, Chen Z and Li Q: Therapeutically harnessing tumor cell-derived extracellular vesicles for multiple myeloma: Recent advances and future perspectives. Pharmaceutics. 16(1439)2024.PubMed/NCBI View Article : Google Scholar | |
|
Datta A, Kim H, McGee L, Johnson AE, Talwar S, Marugan J, Southall N, Hu X, Lal M, Mondal D, et al: High-throughput screening identified selective inhibitors of exosome biogenesis and secretion: A drug repurposing strategy for advanced cancer. Sci Rep. 8(8161)2018.PubMed/NCBI View Article : Google Scholar | |
|
Trajkovic K, Hsu C, Chiantia S, Rajendran L, Wenzel D, Wieland F, Schwille P, Brügger B and Simons M: Ceramide triggers budding of exosome vesicles into multivesicular endosomes. Science. 319:1244–1247. 2008.PubMed/NCBI View Article : Google Scholar | |
|
Christianson HC, Svensson KJ, Van Kuppevelt TH, Li JP and Belting M: Cancer cell exosomes depend on cell-surface heparan sulfate proteoglycans for their internalization and functional activity. Proc Natl Acad Sci USA. 110:17380–17385. 2013.PubMed/NCBI View Article : Google Scholar | |
|
Wortzel I, Dror S, Kenific CM and Lyden D: Exosome-mediated metastasis: Communication from a distance. Dev Cell. 49:347–360. 2019.PubMed/NCBI View Article : Google Scholar | |
|
Xin L, Gao J, Zheng Z, Chen Y, Lv S, Zhao Z, Yu C, Yang X and Zhang R: Fibroblast Activation protein-α as a target in the bench-to-bedside diagnosis and treatment of tumors: A narrative review. Front Oncol. 11(648187)2021.PubMed/NCBI View Article : Google Scholar | |
|
Fang J, Xiao L, Joo K, Liu Y, Zhang C, Liu S, Conti PS, Li Z and Wang P: A potent immunotoxin targeting fibroblast activation protein for treatment of breast cancer in mice. Int J Cancer. 138:1013–1023. 2016.PubMed/NCBI View Article : Google Scholar | |
|
Ostermann E, Garin-Chesa P, Heider KH, Kalat M, Lamche H, Puri C, Kerjaschki D, Rettig WJ and Adolf GR: Effective immunoconjugate therapy in cancer models targeting a serine protease of tumor fibroblasts. Clin Cancer Res. 14:4584–4592. 2008.PubMed/NCBI View Article : Google Scholar | |
|
Duperret EK, Trautz A, Ammons D, Perales-Puchalt A, Wise MC, Yan J, Reed C and Weiner DB: Alteration of the tumor stroma using a consensus DNA vaccine targeting fibroblast activation protein (FAP) synergizes with antitumor vaccine therapy in mice. Clin Cancer Res. 24:1190–1201. 2018.PubMed/NCBI View Article : Google Scholar | |
|
Wang LCS, Lo A, Scholler J, Sun J, Majumdar RS, Kapoor V, Antzis M, Cotner CE, Johnson LA, Durham AC, et al: Targeting fibroblast activation protein in tumor stroma with chimeric antigen receptor T cells can inhibit tumor growth and augment host immunity without severe toxicity. Cancer Immunol Res. 2:154–166. 2014.PubMed/NCBI View Article : Google Scholar | |
|
Roberts EW, Deonarine A, Jones JO, Denton AE, Feig C, Lyons SK, Espeli M, Kraman M, McKenna B, Wells RJ, et al: Depletion of stromal cells expressing fibroblast activation protein-α from skeletal muscle and bone marrow results in cachexia and anemia. J Exp Med. 210:1137–1151. 2013.PubMed/NCBI View Article : Google Scholar | |
|
Pietras K, Pahler J, Bergers G and Hanahan D: Functions of paracrine PDGF signaling in the proangiogenic tumor stroma revealed by pharmacological targeting. PLoS Med. 5(e19)2008.PubMed/NCBI View Article : Google Scholar | |
|
Sherman MH, Yu RT, Engle DD, Ding N, Atkins AR, Tiriac H, Collisson EA, Connor F, Van Dyke T, Kozlov S, et al: Vitamin D receptor-mediated stromal reprogramming suppresses pancreatitis and enhances pancreatic cancer therapy. Cell. 159:80–93. 2014.PubMed/NCBI View Article : Google Scholar | |
|
Jalilian E, Abolhasani-Zadeh F, Afgar A, Samoudi A, Zeinalynezhad H and Langroudi L: Neutralizing tumor-related inflammation and reprogramming of cancer-associated fibroblasts by Curcumin in breast cancer therapy. Sci Rep. 13(20770)2023.PubMed/NCBI View Article : Google Scholar | |
|
Hofheinz RD, al-Batran SE, Hartmann F, Hartung G, Jäger D, Renner C, Tanswell P, Kunz U, Amelsberg A, Kuthan H and Stehle G: Stromal antigen targeting by a humanised monoclonal antibody: An early phase II trial of sibrotuzumab in patients with metastatic colorectal cancer. Onkologie. 26:44–48. 2003.PubMed/NCBI View Article : Google Scholar | |
|
Moss RA, Moore D, Mulcahy MF, Nahum K, Saraiya B, Eddy S, Kleber M and Poplin EA: A multi-institutional phase 2 study of imatinib mesylate and gemcitabine for first-line treatment of advanced pancreatic cancer. Gastrointest Cancer Res. 5:77–83. 2012.PubMed/NCBI | |
|
Grierson PM, Suresh R, Tan B, Pedersen KS, Amin M, Park H, Trikalinos NA, Liu J, Boice N, Brown A, et al: A pilot study of paricalcitol plus nanoliposomal irinotecan and 5-FU/LV in advanced pancreatic cancer patients after progression on gemcitabine-based therapy. Clin Cancer Res. 29:4733–4739. 2023.PubMed/NCBI View Article : Google Scholar | |
|
Chung V, Alistar A, Becerra C, Kasi A, Borazanci E, Jameson GS, Roe DJ, Wertheim BC, Cridebring D, Truitt M, et al: Pembrolizumab ± paricalcitol in metastatic pancreatic cancer postmaximal cytoreduction. Oncologist. 30(oyae323)2025.PubMed/NCBI View Article : Google Scholar | |
|
Weiss GJ, Blaydorn L, Beck J, Bornemann-Kolatzki K, Urnovitz H, Schütz E and Khemka V: Phase Ib/II study of gemcitabine, nab-paclitaxel, and pembrolizumab in metastatic pancreatic adenocarcinoma. Invest New Drugs. 36:96–102. 2018.PubMed/NCBI View Article : Google Scholar | |
|
Bockorny B, Semenisty V, Macarulla T, Borazanci E, Wolpin BM, Stemmer SM, Golan T, Geva R, Borad MJ, Pedersen KS, et al: BL-8040, a CXCR4 antagonist, in combination with pembrolizumab and chemotherapy for pancreatic cancer: The COMBAT trial. Nat Med. 26:878–885. 2020.PubMed/NCBI View Article : Google Scholar |