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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Molecular Medicine Reports</journal-id>
<journal-title-group>
<journal-title>Molecular Medicine Reports</journal-title>
</journal-title-group>
<issn pub-type="ppub">1791-2997</issn>
<issn pub-type="epub">1791-3004</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/mmr.2025.13505</article-id>
<article-id pub-id-type="publisher-id">MMR-31-6-13505</article-id>
<article-categories>
<subj-group>
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Combination of tumor organoids with advanced technologies: A powerful platform for tumor evolution and treatment response (Review)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Wu</surname><given-names>Ying</given-names></name>
<xref rid="af1-mmr-31-6-13505" ref-type="aff">1</xref>
<xref rid="fn1-mmr-31-6-13505" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Fan</given-names></name>
<xref rid="af2-mmr-31-6-13505" ref-type="aff">2</xref>
<xref rid="fn1-mmr-31-6-13505" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Du</surname><given-names>Furong</given-names></name>
<xref rid="af3-mmr-31-6-13505" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Huang</surname><given-names>Juan</given-names></name>
<xref rid="af4-mmr-31-6-13505" ref-type="aff">4</xref>
<xref rid="c2-mmr-31-6-13505" ref-type="corresp"/></contrib>
<contrib contrib-type="author"><name><surname>Wei</surname><given-names>Shuqing</given-names></name>
<xref rid="af2-mmr-31-6-13505" ref-type="aff">2</xref>
<xref rid="c1-mmr-31-6-13505" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-mmr-31-6-13505"><label>1</label>Department of Obstetrics and Gynecology, The 920th Hospital of Joint Logistics Support Force, Kunming, Yunnan 650032, P.R. China</aff>
<aff id="af2-mmr-31-6-13505"><label>2</label>Department of Comprehensive Medicine, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi 030013, P.R. China</aff>
<aff id="af3-mmr-31-6-13505"><label>3</label>Department of Medicine, Kingbio Medical Co., Ltd., Chongqing 401123, P.R. China</aff>
<aff id="af4-mmr-31-6-13505"><label>4</label>Department of Breast Surgery and Multidisciplinary Breast Cancer Center, Clinical Research Center of Breast Cancer in Hunan Province, Xiangya Hospital, Central South University, Changsha, Hunan 410008, P.R. China</aff>
<author-notes>
<corresp id="c1-mmr-31-6-13505"><italic>Correspondence to</italic>: Professor Shuqing Wei, Department of Comprehensive Medicine, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, 3 Zhigong New Street, Xinghualing, Taiyuan, Shanxi 030013, P.R. China, E-mail: <email>weishuqing1972@163.com</email></corresp>
<corresp id="c2-mmr-31-6-13505">Professor Juan Huang, Professor, Department of Breast Surgery and Multidisciplinary Breast Cancer Center, Clinical Research Center of Breast Cancer in Hunan Province, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, P.R. China, E-mail: <email>404369@csu.edu.cn</email></corresp>
<fn id="fn1-mmr-31-6-13505"><label>&#x002A;</label><p>Contributed equally</p></fn></author-notes>
<pub-date pub-type="collection">
<month>06</month>
<year>2025</year></pub-date>
<pub-date pub-type="epub">
<day>27</day>
<month>03</month>
<year>2025</year></pub-date>
<volume>31</volume>
<issue>6</issue>
<elocation-id>140</elocation-id>
<history>
<date date-type="received"><day>16</day><month>10</month><year>2024</year></date>
<date date-type="accepted"><day>26</day><month>02</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; 2025 Wu et al.</copyright-statement>
<copyright-year>2025</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>Malignant tumors notably decrease life expectancy. Despite advances in cancer diagnosis and treatment, the mechanisms underlying tumorigenesis, progression and drug resistance have not been fully elucidated. An emerging method to study tumors is tumor organoids, which are a three-dimensional miniature structure. These retain the patient-specific tumor heterogeneity while demonstrating the histological, genetic and molecular features of original tumors. Compared with conventional cancer cell lines and animal models, patient-derived tumor organoids are more advanced at physiological and clinical levels. Their synergistic combination with other technologies, such as organ-on-a-chip, 3D-bioprinting, tissue-engineered cell scaffolds and clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9, may overcome limitations of the conventional 3D organoid culture and result in the development of more appropriate model systems that preserve the complex tumor stroma, inter-organ and intra-organ communications. The present review summarizes the evolution of tumor organoids and their combination with advanced technologies, as well as the application of tumor organoids in basic and clinical research.</p>
</abstract>
<kwd-group>
<kwd>tumor organoid</kwd>
<kwd>organ-on-a-chip</kwd>
<kwd>3D-bioprinting</kwd>
<kwd>tissue-engineered scaffold</kwd>
<kwd>CRISPR-Cas9</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Funding:</bold> No funding was received.</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<label>1.</label>
<title>Introduction</title>
<p>Cancer, a leading cause of mortality, notably decreases life expectancy. In 2022, there were &#x007E;20.0 million new cases and &#x007E;9.7 million cancer-associated mortalities worldwide (<xref rid="b1-mmr-31-6-13505" ref-type="bibr">1</xref>). Despite advances in cancer diagnosis and treatment, mechanisms underlying tumorigenesis, progression and drug resistance have not been fully elucidated. Due to tumor heterogeneity, different individuals with the same type of cancer may exhibit different responses to the same therapy; thus models need to be established that can recapitulate the tumors to study the mechanisms of tumorigenesis, progression and drug resistance.</p>
<p>Preclinical models include two-dimensional (2D) cell lines, patient-derived xenografts (PDXs) and organoids. Despite simple operation and culture, 2D cell lines cannot definitively predict the drug response of patients due to accumulation of gene mutations during passaging (<xref rid="b2-mmr-31-6-13505" ref-type="bibr">2</xref>). Additionally, 2D cell lines are unreliable compared with <italic>in vivo</italic> models because of variations in cell phenotypical behaviors (<xref rid="b3-mmr-31-6-13505" ref-type="bibr">3</xref>). PDXs, which are created by engraftment of patient tumor tissue into immunocompetent mice, recapitulate the tumor heterogeneity while preserving the biological and molecular features of original tumors (<xref rid="b4-mmr-31-6-13505" ref-type="bibr">4</xref>,<xref rid="b5-mmr-31-6-13505" ref-type="bibr">5</xref>), but they are time-consuming, expensive and may undergo mouse-specific tumor evolution rendering them unable to reflect the pathogenic process of patients (<xref rid="b6-mmr-31-6-13505" ref-type="bibr">6</xref>,<xref rid="b7-mmr-31-6-13505" ref-type="bibr">7</xref>). Therefore, application of PDXs is limited by the complex operation, duration, high cost and low success rate. Organoids, a novel type of three-dimensional (3D) miniature structure derived from adult or embryonic stem cells (SCs), not only retains <italic>in vivo</italic> tumor characteristics and heterogeneity, but also can predict the sensitivity of multiple drugs simultaneously, with the advantages of high success rate of generation, short time-frame and low cost (<xref rid="b8-mmr-31-6-13505" ref-type="bibr">8</xref>) (<xref rid="tI-mmr-31-6-13505" ref-type="table">Table I</xref>). Currently, organoids from multiple types of cancer have been established, including colorectal cancer (CRC), breast, pancreatic and lung cancer (<xref rid="b9-mmr-31-6-13505" ref-type="bibr">9</xref>&#x2013;<xref rid="b12-mmr-31-6-13505" ref-type="bibr">12</xref>). These tumor organoids not only preserve the features of original tumors at genomic, molecular and epigenetic levels, but also contribute to predicting patient responses to therapies, thus offering potential for unveiling the biology of tumorigenesis, promoting drug discovery and personalized treatment in cancer.</p>
<p>The present review aimed to summarize evolution of tumor organoids and their combination with advanced technologies, such as organ-on-a-chip, 3D-bioprinting, tissue-engineered cell scaffolds and clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (CRISPR-Cas9), as well as the application of tumor organoids in basic and clinical research.</p>
</sec>
<sec>
<label>2.</label>
<title>Definition and evolution of organoids</title>
<p>Organoids, a type of 3D microstructure cultured <italic>in vivo</italic> under similar conditions to the human microenvironment, are primarily established based on the self-organization and differentiation of cells with stem cell characteristics (<xref rid="b13-mmr-31-6-13505" ref-type="bibr">13</xref>). Organoids exhibit a natural self-organizing structure similar to native organs. In 1907, separated sponge cells were shown to self-organize into a complete organism (<xref rid="b14-mmr-31-6-13505" ref-type="bibr">14</xref>). Subsequently, limbal SCs from 3T3 trophoblast cells were transplanted into damaged eyes following culture, laying the basis for the development of 3D organoid technology (<xref rid="b15-mmr-31-6-13505" ref-type="bibr">15</xref>,<xref rid="b16-mmr-31-6-13505" ref-type="bibr">16</xref>). Induced pluripotent SCs (iPSCs) are widely used in <italic>in vitro</italic> and <italic>in vivo</italic> preclinical studies (<xref rid="b17-mmr-31-6-13505" ref-type="bibr">17</xref>&#x2013;<xref rid="b19-mmr-31-6-13505" ref-type="bibr">19</xref>). Since the first human iPSC-derived motor neurons from patients were cultured in a petri dish, several techniques, such as somatic cell nuclear transfer approach and transcription factor-based somatic cell reprogramming, have been developed to generate iPSC lines (<xref rid="b20-mmr-31-6-13505" ref-type="bibr">20</xref>). Since 2009, when the intestinal organoids were first cultured successfully, organoids have gained much attention in cancer research (<xref rid="b21-mmr-31-6-13505" ref-type="bibr">21</xref>,<xref rid="b22-mmr-31-6-13505" ref-type="bibr">22</xref>).</p>
<p>In 2011, gut and retinal organoids from SCs were generated successfully (<xref rid="b23-mmr-31-6-13505" ref-type="bibr">23</xref>,<xref rid="b24-mmr-31-6-13505" ref-type="bibr">24</xref>). Long-term culture protocols for primary colon adenoma/adenocarcinoma have been established (<xref rid="b25-mmr-31-6-13505" ref-type="bibr">25</xref>). In 2014, prostate cancer organoids from metastatic biopsy and circulating tumor cells (CTCs) were first constructed (<xref rid="b26-mmr-31-6-13505" ref-type="bibr">26</xref>) and breast cancer organoids derived from CTCs resemble the immunohistochemical features of breast tumors (<xref rid="b27-mmr-31-6-13505" ref-type="bibr">27</xref>). In 2015, Boj <italic>et al</italic> (<xref rid="b28-mmr-31-6-13505" ref-type="bibr">28</xref>) first generated pancreatic organoids from human neoplastic tissue; orthotopically transplanted organoids can be used to study the pathogenesis of pancreatic ductal adenocarcinoma. In the same year, Bartfeld <italic>et al</italic> (<xref rid="b29-mmr-31-6-13505" ref-type="bibr">29</xref>) demonstrated the feasibility of establishing human gastric cancer organoids. Subsequently, other types of tumor organoid have been established, including glioblastoma and liver, endometrial, bladder and esophageal cancer (<xref rid="b30-mmr-31-6-13505" ref-type="bibr">30</xref>&#x2013;<xref rid="b39-mmr-31-6-13505" ref-type="bibr">39</xref>) (<xref rid="f1-mmr-31-6-13505" ref-type="fig">Fig. 1</xref>). Therefore, tumor organoids have value in cancer research. With the rapid development of biotechnology, they can not only supplement to the current evidence-based medicine, but also have advantages in clinical and translational research (<xref rid="b40-mmr-31-6-13505" ref-type="bibr">40</xref>,<xref rid="b41-mmr-31-6-13505" ref-type="bibr">41</xref>). Tumor organoids combined with advanced technologies, such as organ-on-a chip and 3D bio-printing, are also emerging, which not only promote the drug-testing process, but also reveal the synergistic effect in complex treatment regimens.</p>
</sec>
<sec>
<label>3.</label>
<title>Combination of tumor organoids with advanced technologies</title>
<p>Tumor organoids reflect diverse key characteristics of tumor progression, but they lack characteristics such as vasculature, stomal components and tissue-resident immune cells (<xref rid="b42-mmr-31-6-13505" ref-type="bibr">42</xref>). Moreover, multiple biophysical and biochemical factors from the tumor microenvironment (TME) are difficult to replicate accurately using conventional 3D organoid culture. Therefore, technologies, including organ-on-a-chip, 3D bio-printing, tissue-engineered cell scaffolds and CRISPR-Cas9 (<xref rid="tII-mmr-31-6-13505" ref-type="table">Table II</xref>), are combined with tumor organoids as more precise models to study the mechanisms of tumorigenesis, progression and drug resistance (<xref rid="f2-mmr-31-6-13505" ref-type="fig">Fig. 2</xref>).</p>
<sec>
<title/>
<sec>
<title>Organ-on-a-chip</title>
<p>As a microfabricated device, the organ-on-chip is designated to integrate the culture of extracellular matrix (ECM), living cells and microstructures imitating organs or tissue (<xref rid="b43-mmr-31-6-13505" ref-type="bibr">43</xref>,<xref rid="b44-mmr-31-6-13505" ref-type="bibr">44</xref>). Integrating living human cells into a synthetically produced microenvironment models physiological homeostasis and the process of complex diseases (<xref rid="f3-mmr-31-6-13505" ref-type="fig">Fig. 3A</xref>) (<xref rid="b43-mmr-31-6-13505" ref-type="bibr">43</xref>). Demers <italic>et al</italic> (<xref rid="b45-mmr-31-6-13505" ref-type="bibr">45</xref>) developed a versatile microfluidic platform that mimics <italic>in vivo</italic> spatial and temporal chemical environments during neural tube development. Using similar techniques, Wang <italic>et al</italic> (<xref rid="b46-mmr-31-6-13505" ref-type="bibr">46</xref>) developed a brain organoid-on-a-chip system from human iPSCs, promoting 3D culture, <italic>in situ</italic> neural differentiation and self-organization of brain organoids under continuous perfusion of neural differentiation medium in a controlled manner.</p>
<p>The organ-on-a-chip has the advantages of specific stroma, requiring a small amount of tissue for analysis, high-resolution optical measurement, real-time tracking of organoid morphogenesis and inexpensive manufacture. Although tumor microsystems are used to explore the cancer-specific hallmarks, the TME complexity cannot be recapitulated due to simultaneous or successive occurrence of cancer-specific hallmarks. Shirure <italic>et al</italic> (<xref rid="b47-mmr-31-6-13505" ref-type="bibr">47</xref>) designed a tumor-on-a-chip microfluidic platform and that this could simultaneously model the hallmark characteristics of tumor progression in both cell lines and patient-derived organoids (PDOs), such as proliferation, migration, angiogenesis and intravasation.</p>
<p>At present, the culture environment of organoids lacks vascularization, leading to decreased organoid lifespan and changeability in tissue-specific functionality and architecture (<xref rid="b48-mmr-31-6-13505" ref-type="bibr">48</xref>). In a previous study, 3D vascularized liver organoids comprising induced hepatic cells and decellularized liver ECM were developed based on the microfluidic system, exhibiting improved liver functionality, biosynthetic and metabolic activity, as well as drug response; this study also confirmed the feasibility of vascularized liver organ-on-a-chip systems as a high-throughput drug screening platform (<xref rid="b49-mmr-31-6-13505" ref-type="bibr">49</xref>). To study tumor angiogenesis, the human primary clear cell renal cell carcinoma (ccRCC) cells are combined with endothelial cells in a vascularized, flow-directed, 3D culture system. Under continuous flow, cRCC clusters preserve the key angiogenic signaling axis between ccRCC and endothelial cells by promoting endothelial cell sprouting. This system signifies a vascularized tumor model with adjustable perfusate, input cells and matrices (<xref rid="b50-mmr-31-6-13505" ref-type="bibr">50</xref>). The PDOs established in a multicellular microfluidic chip may prolong cellular function and longevity and construct an intricate organotypic TME (<xref rid="f3-mmr-31-6-13505" ref-type="fig">Fig. 3B</xref>). Targeting stroma in a tumor-chip model notably increases response to chemotherapy in cancer cells, further verifying the application of the tumor-chip device in drug testing (<xref rid="b51-mmr-31-6-13505" ref-type="bibr">51</xref>). Additionally, multiorgan models of coculture with SC-derived stomach, intestinal and liver organoids have also been established, promoting the discovery of interorgan crosstalk characteristics (<xref rid="b52-mmr-31-6-13505" ref-type="bibr">52</xref>). The aforementioned findings indicate how the organoids combined with organ-on-a-chip technique replicate cell maturity.</p>
</sec>
<sec>
<title>3D bio-printing</title>
<p>3D bio-printing accurately controls the spatial arrangement of cells, biomaterials and soluble factors, forming intricate multicellular structures (<xref rid="b53-mmr-31-6-13505" ref-type="bibr">53</xref>,<xref rid="b54-mmr-31-6-13505" ref-type="bibr">54</xref>). By offering tumor-specific ECM, accurate geometric architecture and biophysical properties, bio-printing can replicate the TME, thus promoting the establishment of complicated and controllable 3D tissue models. In most studies, however, monodispersed tumor cells used as bio-printing building blocks do not effectively replicate the tumor progression due to the rare presence of volumetric tumor cells in isolation (<xref rid="b55-mmr-31-6-13505" ref-type="bibr">55</xref>,<xref rid="b56-mmr-31-6-13505" ref-type="bibr">56</xref>). The combination of 3D bio-printing and tumor organoids allows for the introduction of miniaturized tumor aggregations into a heterogeneous 3D niche containing stromal cells and hydrogels, which are more cell-specific for simulation of TME features and high-throughput drug screening (<xref rid="f4-mmr-31-6-13505" ref-type="fig">Fig. 4A</xref>) (<xref rid="b57-mmr-31-6-13505" ref-type="bibr">57</xref>,<xref rid="b58-mmr-31-6-13505" ref-type="bibr">58</xref>).</p>
<p>Mollica <italic>et al</italic> (<xref rid="b59-mmr-31-6-13505" ref-type="bibr">59</xref>) revealed that 3D bio-printed organoids and tumoroid formation are preserved effectively using novel 3D culture substrates. Reid <italic>et al</italic> (<xref rid="b60-mmr-31-6-13505" ref-type="bibr">60</xref>) applied bio-printing to analyze tumorigenesis and microenvironmental redirection in breast cancer cells and demonstrated that bio-printing could promote the formation of tumor organoids in 3D collagen gels and tumor organoid arrays. Moreover, <italic>in vivo</italic> findings are accurately simulated through bio-printed organoids, highlighting the feasibility of the 3D bio-printing technique in understanding tumorigenesis and TME control. To increase the throughput of 3D drug screening, an immersion bio-printing technique has been developed to bio-print tumor organoids in multi-well plates (<xref rid="f4-mmr-31-6-13505" ref-type="fig">Fig. 4B</xref>) (<xref rid="b61-mmr-31-6-13505" ref-type="bibr">61</xref>). Additionally, a 3D-bioprinted construct is used to test the resistance of anti-cancer drugs (sorafenib, cisplatin and 5-fluorouracil) in patient-derived cholangiocarcinoma cells. Compared with 2D cultures, bio-printed cholangiocarcinoma cells exhibit stem-like properties and high resistance to the aforementioned anti-cancer drugs, indicating the potential of 3D bio-printed tumor models in the discovery of targeted drugs (<xref rid="b62-mmr-31-6-13505" ref-type="bibr">62</xref>). Additionally, bio-printed organoids undergo hepatocytic differentiation, including liver-specific enzyme activity and albumin synthesis (<xref rid="b63-mmr-31-6-13505" ref-type="bibr">63</xref>), creating novel possibilities for regenerative medicine and individualized drug screening.</p>
</sec>
<sec>
<title>Tissue-engineered cell scaffolds</title>
<p>Matrigel is key for the culture of most organoids, but it may elevate the risk of animal-derived microbial infection and batch-to-batch variability in organoids, leading to unreproducible experimental results (<xref rid="b64-mmr-31-6-13505" ref-type="bibr">64</xref>,<xref rid="b65-mmr-31-6-13505" ref-type="bibr">65</xref>). Tissue-engineered cell scaffolds support cell proliferation and attachment and simulate ECM function <italic>in vivo</italic> (<xref rid="b66-mmr-31-6-13505" ref-type="bibr">66</xref>). For cell- and tissue-derived matrices, synthetic scaffolds, such as polyethylene glycol (PEG)-based hydrogel scaffolds, allow control over the growth conditions.</p>
<p>For conventional organoid cultures, generic matrices are usually applied, but they are difficult to adjust to replicate the unique TME. Ng <italic>et al</italic> (<xref rid="b67-mmr-31-6-13505" ref-type="bibr">67</xref>) used gelatin-based hydrogels to demonstrate CRC organoid sensitivity to multiple drugs <italic>in vivo</italic>, and found that these hydrogels may be a promising platform for biochemically and mechanically defined matrices used in multiple types of tumor organoid. In a previous study, a fully synthetic hydrogel scaffold was constructed based on the 8-arm PEG and pancreatic cancer organoids were generated successfully (<xref rid="b68-mmr-31-6-13505" ref-type="bibr">68</xref>). Through regulation of hydrogel properties, the proliferation of pancreatic cancer organoids is controlled, and the phenotypic traits of the TME <italic>in vivo</italic> are effectively replicated when stromal cells are incorporated into the hydrogels (<xref rid="b68-mmr-31-6-13505" ref-type="bibr">68</xref>). These findings suggest that synthetic scaffolds replicate a pathologically remodeled TME for studying normal and pancreatic cancer cells <italic>in vitro</italic>. Another study showed that ECM hydrogels generated organoids appropriate for gastrointestinal disease modeling, tissue regeneration and drug development (<xref rid="f5-mmr-31-6-13505" ref-type="fig">Fig. 5A</xref>), which may serve as effective alternatives to Matrigel (<xref rid="b69-mmr-31-6-13505" ref-type="bibr">69</xref>). Accordingly, tissue-engineered cell scaffolds are promising next-generation materials for organoid technology to understand organ-based developmental biology and predict drug response in tumor organoids (<xref rid="b67-mmr-31-6-13505" ref-type="bibr">67</xref>&#x2013;<xref rid="b69-mmr-31-6-13505" ref-type="bibr">69</xref>).</p>
</sec>
<sec>
<title>CRISPR-Cas9</title>
<p>CRISPR-Cas9 enables more efficient gene knockout and knock-in than other types of genome editor through introduction of DNA double-strand breaks at specific genomic loci (<xref rid="b70-mmr-31-6-13505" ref-type="bibr">70</xref>). In addition to identification of novel targets for cancer therapy, CRISPR-Cas9 is also used to produce genetically inhibited animal models for drug development (<xref rid="b71-mmr-31-6-13505" ref-type="bibr">71</xref>,<xref rid="b72-mmr-31-6-13505" ref-type="bibr">72</xref>). CRISPR-Cas9 combined with 3D organoid systems facilitates development of precise cancer models for studying diverse mechanisms of tumor progression, metastasis, interactions and drug resistance. Organoid systems not only mimic the human disease and tailor therapeutic strategies, but also serve as an experimental platform for mechanistically studying the gene function in humans (<xref rid="b73-mmr-31-6-13505" ref-type="bibr">73</xref>).</p>
<p>Matano <italic>et al</italic> (<xref rid="b74-mmr-31-6-13505" ref-type="bibr">74</xref>) introduced mutations into organoids from normal human intestinal epithelium using CRISPR-Cas9 and demonstrated that the isogenic organoids with mutations show tumorigenicity in mice. Murine gallbladder organoids with <italic>KRAS</italic> mutations or overexpression of Erb-B2 receptor tyrosine kinase 2 cause gallbladder cancer in transplanted immunocompromised mice when CRISPR-Cas9 is used for <italic>p53</italic> or <italic>PTEN</italic> deletion (<xref rid="b75-mmr-31-6-13505" ref-type="bibr">75</xref>). In another study, specific subtypes of breast cancer organoids were established following targeted knockdown of four breast cancer-associated suppressor genes in mammary progenitor cells through CRISPR-Cas9; these organoids respond to endocrine therapy or chemotherapy (<xref rid="f5-mmr-31-6-13505" ref-type="fig">Fig. 5B and C</xref>) (<xref rid="b76-mmr-31-6-13505" ref-type="bibr">76</xref>,<xref rid="b77-mmr-31-6-13505" ref-type="bibr">77</xref>). Vaishnavi <italic>et al</italic> (<xref rid="b78-mmr-31-6-13505" ref-type="bibr">78</xref>) used CRISPR/Cas9 technology to silence RNA binding motif, single stranded interacting protein 3 (RBMS3); this facilitated the growth of BRAFV600E lung organoids and malignant progression of lung cancer. Additionally, CRISPR-Cas9 was also used to validate CRC driver genes in mouse intestinal tumor organoids and human CRC-derived organoids (<xref rid="b79-mmr-31-6-13505" ref-type="bibr">79</xref>). Notably, CRISPR-Cas9-mediated homology-independent organoid transgenesis, a genetic tool for labeling specific genes in human organoids, effectively generates genetically engineered human liver duct and fetal hepatocyte organoids within 2&#x2013;3 months (<xref rid="b80-mmr-31-6-13505" ref-type="bibr">80</xref>,<xref rid="b81-mmr-31-6-13505" ref-type="bibr">81</xref>). This genetic tool can be used to study cell fates and differentiation and identify targets for drug development, showing promise for cancer research.</p>
</sec>
</sec>
</sec>
<sec>
<label>4.</label>
<title>Application of tumor organoids</title>
<sec>
<title/>
<sec>
<title>Mechanisms of tumorigenesis and drug resistance</title>
<p>Tumorigenesis and progression primarily depend on the accumulation of genetic alterations. Understanding the mutational process is key to analyzing the mechanism of tumorigenesis. Multiple studies have demonstrated the feasibility of introducing pathological mutations into normal organoids using genetic modification to simulate tumorigenesis (<xref rid="b74-mmr-31-6-13505" ref-type="bibr">74</xref>,<xref rid="b76-mmr-31-6-13505" ref-type="bibr">76</xref>,<xref rid="b82-mmr-31-6-13505" ref-type="bibr">82</xref>,<xref rid="b83-mmr-31-6-13505" ref-type="bibr">83</xref>) (<xref rid="f6-mmr-31-6-13505" ref-type="fig">Fig. 6</xref>). As reported by Matano <italic>et al</italic> (<xref rid="b74-mmr-31-6-13505" ref-type="bibr">74</xref>), isogenic organoids with mutations show tumorigenicity in mice when gene mutations from driver pathways are introduced into organoids derived from normal human intestinal epithelium (<xref rid="b84-mmr-31-6-13505" ref-type="bibr">84</xref>). By establishing AT-rich binding domain protein 1A-deficient human gastric cancer organoids using CRISPR/Cas9 technology, modes of oncogenic transformation are revealed, including essential transcriptional forkhead box protein M1/baculoviral IAP repeat-containing 5-stimulated proliferation and non-essential Wnt-inhibited mucinous differentiation (<xref rid="b82-mmr-31-6-13505" ref-type="bibr">82</xref>). As a key cause of mortality in patients with cancer, the migration and invasion of tumor cells also serve important roles in tumor progression. Through coculture with mammary tumor organoids, a tissue-engineered model with physiologically realistic microvessels was created, which allows quantitative and real-time evaluation of tumor-vessel interactions under the conditions that retain various <italic>in vivo</italic> characteristics to identify targetable mechanisms of vascular recruitment and intravasation (<xref rid="b84-mmr-31-6-13505" ref-type="bibr">84</xref>). In the patient-derived breast cancer organoids, CD homophilic interactions and subsequent CD44-p21-activated kinase 2 interactions mediate tumor cluster migration and aggregation (<xref rid="b85-mmr-31-6-13505" ref-type="bibr">85</xref>). Moreover, invasion could also be triggered in breast cancer subtypes by basal epithelial gene expression (<xref rid="b86-mmr-31-6-13505" ref-type="bibr">86</xref>).</p>
<p>To investigate the role of tumor organoids in treatment resistance, Boos <italic>et al</italic> (<xref rid="b87-mmr-31-6-13505" ref-type="bibr">87</xref>) modeled the acquisition of chemotherapy tolerance in metastatic CRC organoids during first-line combined chemotherapy, highlighting the potential of CRC organoids in modeling chemotherapy tolerance <italic>in vivo</italic>. Similarly, in intestinal cancer organoids, atypical expression of cyclin P facilitates stemness-like phenotypes (<xref rid="b88-mmr-31-6-13505" ref-type="bibr">88</xref>), which usually results in tumor metastasis, relapse and treatment resistance. Through establishment of oxaliplatin-resistant organoids and assessment of their gene expression, myoferlin was shown to be involved in oxaliplatin resistance and tumor progression in gastric cancer (<xref rid="b89-mmr-31-6-13505" ref-type="bibr">89</xref>). As commonly used anti-tumor drugs in prostate cancer, resistance to androgen receptor pathway inhibitors may develop due to epigenetic reprogramming turning castration-resistant adenocarcinoma to neuroendocrine prostate cancer. Bioengineered ECM regulates the response of prostate cancer organoids to small-molecule inhibitors of epigenetic targets and dopamine receptor D2, suggesting that synthetic organoids exert a regulatory effect on ECM in response to targeted therapy in prostate cancer and serve as a novel treatment strategy to overcome resistance (<xref rid="b90-mmr-31-6-13505" ref-type="bibr">90</xref>). Overall, tumor organoids serve as a powerful platform for studying drug resistance mechanisms.</p>
</sec>
<sec>
<title>Precision medicine</title>
<p>Tumor organoids not only contribute to understanding the mechanism of tumorigenesis, but also predict the response to therapies, including chemotherapy, radiotherapy and targeted therapy (<xref rid="b91-mmr-31-6-13505" ref-type="bibr">91</xref>&#x2013;<xref rid="b93-mmr-31-6-13505" ref-type="bibr">93</xref>). Vlachogiannis <italic>et al</italic> (<xref rid="b92-mmr-31-6-13505" ref-type="bibr">92</xref>) established organoids from metastatic gastrointestinal cancer to predict the response to targeted drugs or chemotherapy, showing sensitivity of 100 and specificity of 93&#x0025;. Gastric cancer organoids faithfully reflect responses to commonly used chemotherapy drugs, such as irinotecan, oxaliplatin, docetaxel, epirubicin and 5-fluerouracil (<xref rid="b91-mmr-31-6-13505" ref-type="bibr">91</xref>). Tiriac <italic>et al</italic> (<xref rid="b94-mmr-31-6-13505" ref-type="bibr">94</xref>) generated a pancreatic cancer organoid library and found that PDO profiling based on the next-generation sequencing of DNA and RNA and pharmacotyping may predict responses to chemotherapy in pancreatic cancer. Ji <italic>et al</italic> (<xref rid="b95-mmr-31-6-13505" ref-type="bibr">95</xref>) identified potential drug combination therapies based on pharmaco-proteogenomic profiling of liver cancer organoids, offering guidance for clinical patient selection and drug combination therapies. Ganesh <italic>et al</italic> (<xref rid="b93-mmr-31-6-13505" ref-type="bibr">93</xref>) revealed the heterogeneity of rectal cancer organoids in chemoradiation and e<italic>x vivo</italic> responses to clinically relevant chemoradiation associated with clinical responses. Moreover, <italic>KRAS-</italic>wild-type rectal cancer organoids are sensitive to cetuximab, while <italic>KRAS</italic>-mutant organoids are resistant, which is consistent with the results of a clinical trial that <italic>KRAS</italic> mutations are associated with resistance to EGFR-targeted therapy (<xref rid="b93-mmr-31-6-13505" ref-type="bibr">93</xref>). Importantly, in a prospective, interventional clinical trial of the last-line systemic therapy based on PDOs, improved clinical outcomes were observed in patients with CRC compared with those receiving the best supportive care alone (<xref rid="b96-mmr-31-6-13505" ref-type="bibr">96</xref>). In addition, the association between tumor organoids and clinical response has been identified in other types of cancer. By establishing PDOs from different stages of bladder cancer, Minoli <italic>et al</italic> (<xref rid="b97-mmr-31-6-13505" ref-type="bibr">97</xref>) demonstrated that the PDOs exhibit heterogenous drug responses to standard-of-care treatment and drug screening showed sensitivity to targeted therapy. In a real-world study, lung cancer organoids were used to validate the response to osimertinib, chemotherapy and dual-targeted therapy and a high concordance was identified between lung cancer organoids and clinical response (<xref rid="b12-mmr-31-6-13505" ref-type="bibr">12</xref>). PDO pharmaco-phenotyping not only reflects previous treatment responses of patients with advanced breast cancer but also serves as a potential platform to guide personalized treatment (<xref rid="b9-mmr-31-6-13505" ref-type="bibr">9</xref>). Breast cancer organoids may also be used to predict patient-specific response to drug treatment (<xref rid="b98-mmr-31-6-13505" ref-type="bibr">98</xref>).</p>
<p>Coculture of tumor organoids with immune components may generate tumor-reactive T cells, which may promote the prediction and evaluation of tumor responses at an individual level by blocking PD-1/PD-L1 (<xref rid="b98-mmr-31-6-13505" ref-type="bibr">98</xref>,<xref rid="b99-mmr-31-6-13505" ref-type="bibr">99</xref>). Cattaneo <italic>et al</italic> (<xref rid="b100-mmr-31-6-13505" ref-type="bibr">100</xref>) described the generation and function of tumor-reactive T cells based on the coculture of tumor organoids with peripheral blood mononuclear cells (PBMCs), demonstrating the feasibility of establishing <italic>ex vivo</italic> models of T cell immunotherapy at an individual level. Meng <italic>et al</italic> (<xref rid="b101-mmr-31-6-13505" ref-type="bibr">101</xref>) developed a platform for the expansion of tumor-targeted T cells from peripheral blood and revealed that the coculture of tumor organoids with PBMCs generates tumor-reactive T cells, thereby promoting personalized immunotherapy. Moreover, tumor organoids cocultured with PBMCs are also used to enrich tumor-reactive T cells from peripheral blood of patients with mismatch repair-deficient CRC and non-small-cell lung cancer (SCLC); these T cells are useful for assessing the killing efficiency of matched tumor organoids (<xref rid="b102-mmr-31-6-13505" ref-type="bibr">102</xref>). In certain organoids established from immunotherapy-responsive tumors, activation of T cells and tumor killing activity have been identified using PD-1/PD-L1 blockade (<xref rid="b98-mmr-31-6-13505" ref-type="bibr">98</xref>). Meanwhile, Votanopoulos <italic>et al</italic> (<xref rid="b103-mmr-31-6-13505" ref-type="bibr">103</xref>) developed an immune-enhanced tumor organoid model with a high clinical association between these organoids and response to checkpoint inhibitors. Collectively, tumor organoids can predict the response to immunotherapy in cancer.</p>
</sec>
<sec>
<title>Identification of novel treatment targets</title>
<p>In a longitudinal, observational co-clinical study, second mitochondria-derived activator of caspase mimetic LCL161 was shown to serve as a treatment target in the organoids derived from recurrent, <italic>KRAS</italic>-mutated liver metastases from rectal cancer (<xref rid="b104-mmr-31-6-13505" ref-type="bibr">104</xref>). Compared with THZ1, YPN-005, a potent inhibitor of CDK7, shows potent antitumor effects in SCLC organoids, suggesting its treatment value in SCLC (<xref rid="b105-mmr-31-6-13505" ref-type="bibr">105</xref>). Based on the interaction of breast cancer organoids and tumor-specific cytotoxic T cells, epigenetic inhibitors GSK-LSD1, CUDC-101 and BML-210 identified via high-throughput screening show antitumor activities (<xref rid="b106-mmr-31-6-13505" ref-type="bibr">106</xref>). Furthermore, BML-210 promotes the efficacy of PD-1-based immune checkpoint blockage.</p>
<p>The tumor-suppressing function and efficient delivery of drugs have key roles in cancer treatment. In multicellular hepatocellular carcinoma organoids (MCHOs) with activated Yes-associated protein (YAP) and transcriptional coactivator with PDZ-binding motif (TAZ) signaling, there is stromal activation and damaged penetration of verteporfin; inhibiting YAP/TAZ transcriptional activity in hepatocellular carcinoma (HCC) cells may facilitate the penetration of drugs into MCHOs. These findings suggest that the treatment targeting activated tumor stroma may promote drug delivery into HCC cells with increased YAP/TAZ activity (<xref rid="b107-mmr-31-6-13505" ref-type="bibr">107</xref>).</p>
</sec>
<sec>
<title>Modeling tumor vascularization</title>
<p>To improve understanding of angiogenic signaling pathways and investigate effective treatment strategies, tumor vasculature must be preserved in organoid cultures. For organoid vascularization, implantation of organoids into highly vascularized tissue is a frequently used method (<xref rid="b108-mmr-31-6-13505" ref-type="bibr">108</xref>,<xref rid="b109-mmr-31-6-13505" ref-type="bibr">109</xref>). Another method is coculture with cells including vascular smooth muscle and epithelial cells (ECs) based on gene editing or microfluidic platforms (<xref rid="b110-mmr-31-6-13505" ref-type="bibr">110</xref>). By integrating mesodermal progenitor cells into organoids, W&#x00F6;rsd&#x00F6;rfer <italic>et al</italic> (<xref rid="b111-mmr-31-6-13505" ref-type="bibr">111</xref>) found that the vascularized organoids formed following coculture with tumor cells or neural spheroids and the vessels in tumor organoids are associated with the host vessels after transplantation. Breast cancer organoids with ECs and immune cells show an obvious angiogenic response when cultured with the vascular network (<xref rid="b112-mmr-31-6-13505" ref-type="bibr">112</xref>). Similarly, in the collagen- and hyaluronic acid-enriched ECM with human fibroblasts and MCF-7 cells, vascularized breast cancer organoids have been established successfully (<xref rid="b113-mmr-31-6-13505" ref-type="bibr">113</xref>). Additionally, in the coculture system of organoids and ECs, vascularization is triggered by vascular endothelial growth factors and hypoxia gradients based on compartmentalized microfluidic chips (<xref rid="b109-mmr-31-6-13505" ref-type="bibr">109</xref>,<xref rid="b114-mmr-31-6-13505" ref-type="bibr">114</xref>). The aforementioned findings underscore the importance of coculture models in organoid vascularization.</p>
</sec>
<sec>
<title>Modeling tumor-immune interactions</title>
<p>Coculture of tumor organoids with immune components, such as fibroblasts, stroma, ECs and immune cells, models the tumor-immune interactions, which provides insights into cancer immunotherapy (<xref rid="b115-mmr-31-6-13505" ref-type="bibr">115</xref>). Using the tumor organoid culture for expansion and characterization of tumor-reactive T cells, Dijkstra <italic>et al</italic> (<xref rid="b102-mmr-31-6-13505" ref-type="bibr">102</xref>) developed a multifunctional platform to study tumor-immune interactions and concluded that CD8<sup>&#x002B;</sup> T cells in PBMCs of the same patient are activated in half of the CRC organoids, with similar results in non-SCLC organoids. Meanwhile, a platform for expanding tumor-targeted T cells has been reported in patients with pancreatic cancer (<xref rid="b116-mmr-31-6-13505" ref-type="bibr">116</xref>). By coculturing PBMCs and autologous tumor organoids, this platform enables recognition and expansion of tumor-targeted cytotoxic T cells (<xref rid="b99-mmr-31-6-13505" ref-type="bibr">99</xref>). Based on the coculture of tumor organoids with PBMCs, the establishment and functional assessment of tumor-reactive T cells has also been described (<xref rid="b98-mmr-31-6-13505" ref-type="bibr">98</xref>).</p>
<p>By generating organoids from surgically resected types of cancer based on the air-liquid interface, Neal <italic>et al</italic> (<xref rid="b98-mmr-31-6-13505" ref-type="bibr">98</xref>) demonstrated that these organoid cultures retain various endogenous immune cell types and non-immune matrix components; immune checkpoint blockade with anti-PD-1 and/or anti-PD-L1 kills the tumor cells through induction of the expansion and activation of tumor antigen-specific T cells in organoid cultures. Moreover, a previous study suggested the potential of the organoid culture system in predicting adoptive immunotherapy responses following incorporation of patient-specific mature lymph node antigen-presenting cells into organoids (<xref rid="b103-mmr-31-6-13505" ref-type="bibr">103</xref>).</p>
</sec>
</sec>
</sec>
<sec>
<label>5.</label>
<title>Challenges</title>
<p>There are limitations to the application of tumor organoids that need to be addressed. First, there are no standardized evaluation criteria and culture protocols. Currently, the culture conditions of tumor organoids are diverse, leading to large differences in results between laboratories and teams. These differences may arise from inconsistent tissue dissociation, undefined formulation of culture medium and different matrices. To promote the standardization and reproducibility of tumor organoid cultures, culture conditions and laboratory operations should be unified as much as possible. Organoid culture is also affected by tumor cell composition, cell activity and tumor heterogeneity. For certain types of cancer, such as prostate cancer (<xref rid="b26-mmr-31-6-13505" ref-type="bibr">26</xref>), the low success rate hinders repeatability and reproducibility, thereby affecting high-throughput screening. Hence, development of standard culture and evaluation protocols and application of well-defined materials are required for improving the success rate of organoid generation. Second, due to potential inclusion of normal cells, TME reconstruction is challenging. Tumor organoid models lack certain <italic>in vivo</italic> components, such as endothelial and immune cells and fibroblasts. Although it is challenging to establish the organoids comprising immune and vascular cells, this limitation may be resolved in the future with the development of organoid technology. Third, the currently established tumor organoids are primarily from ECs. In the future, studies should establish organoids from non-ECs, which may further optimize the treatment of tumors such as CRC and lung cancer (<xref rid="b117-mmr-31-6-13505" ref-type="bibr">117</xref>,<xref rid="b118-mmr-31-6-13505" ref-type="bibr">118</xref>). Additionally, during the long-term culture and passage of tumor organoids epigenetic drift may occur (<xref rid="b43-mmr-31-6-13505" ref-type="bibr">43</xref>). To avoid normal cells being contaminated and make organoids more mature, investigating the mechanisms underlying epigenetic drift is needed. Shi <italic>et al</italic> assessed the tumor purity in long-term cultures and found that none were contaminated with normal or non-human cells (<xref rid="b119-mmr-31-6-13505" ref-type="bibr">119</xref>). In addition to recapitulating the biology that drives histologic appearance of original tumors, their organoid models had not drifted at the molecular level. More importantly, tumor organoids should be improved to model the interactions between cells, tissue and organs. Although TME can be replicated through coculture with stromal cells and ECM, the role of peripheral immune systems is not evaluated (<xref rid="b77-mmr-31-6-13505" ref-type="bibr">77</xref>). Combination of tumor organoids with advanced technologies allows modeling of a more complex and realistic state, which may overcome the aforementioned challenges and create more appropriate model systems for cancer treatment.</p>
</sec>
<sec sec-type="conclusion">
<label>6.</label>
<title>Conclusion</title>
<p>Patient-derived tumor organoids are more advanced at physiological and clinical levels compared with conventional cancer cell lines and PDXs. Despite challenges, tumor organoids show potential in the treatment of cancer. Tumor organoids may be combined with advanced technologies, such as organ-on-a-chip, 3D-bioprinting, tissue-engineered cell scaffolds and CRISPR-Cas9, which may not only overcome defects of conventional culture methods, but also expand the application range, offering insights into the treatment strategies in cancer. Combined application of tumor organoids and advanced technologies allows accurate simulation of tumor heterogeneity, vascularization and tumor-immune interactions, facilitating comprehensive high-throughput drug screening to predict drug responses and optimize treatment options to promote personalized treatment in cancer.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec sec-type="data-availability">
<title>Availability of data and materials</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>YW, FZ, JH and SW conceived and designed the study and wrote the manuscript. FD acquired data and revised the manuscript critially. All authors have read and approved the final manuscript. Data authentication is not applicable.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
<glossary>
<def-list>
<title>Abbreviations</title>
<def-item><term>CRC</term><def><p>colorectal cancer</p></def></def-item>
<def-item><term>2D</term><def><p>two-dimensional</p></def></def-item>
<def-item><term>PDX</term><def><p>patient-derived xenograft</p></def></def-item>
<def-item><term>CRISPR-Cas9</term><def><p>clustered regularly interspaced short palindromic repeats-associated protein</p></def></def-item>
<def-item><term>iPSC</term><def><p>induced pluripotent stem cell</p></def></def-item>
<def-item><term>CTC</term><def><p>circulating tumor cell</p></def></def-item>
<def-item><term>TME</term><def><p>tumor microenvironment</p></def></def-item>
<def-item><term>ECM</term><def><p>extracellular matrix</p></def></def-item>
<def-item><term>PDO</term><def><p>patient-derived organoid</p></def></def-item>
<def-item><term>ccRCC</term><def><p>clear cell renal cell carcinoma</p></def></def-item>
<def-item><term>PEG</term><def><p>polyethylene glycol</p></def></def-item>
<def-item><term>MCHO</term><def><p>multicellular hepatocellular carcinoma organoid</p></def></def-item>
<def-item><term>HCC</term><def><p>hepatocellular carcinoma</p></def></def-item>
<def-item><term>EC</term><def><p>epithelial cell</p></def></def-item>
<def-item><term>PBMC</term><def><p>peripheral blood mononuclear cell</p></def></def-item>
<def-item><term>RBMS3</term><def><p>RNA binding motif, single stranded interacting protein 3</p></def></def-item>
<def-item><term>SCLC</term><def><p>small cell lung cancer</p></def></def-item>
<def-item><term>YAP</term><def><p>Yes-associated protein</p></def></def-item>
<def-item><term>TAZ</term><def><p>transcriptional coactivator with PDZ binding motif</p></def></def-item>
</def-list>
</glossary>
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</back>
<floats-group>
<fig id="f1-mmr-31-6-13505" position="float">
<label>Figure 1.</label>
<caption><p>Evolution of tumor organoid research. iPSC, induced pluripotent stem cell.</p></caption>
<graphic xlink:href="mmr-31-06-13505-g00.jpg"/>
</fig>
<fig id="f2-mmr-31-6-13505" position="float">
<label>Figure 2.</label>
<caption><p>Synergistic combination and application of tumor organoids and advanced technologies, including organ-on-a-chip, 3D bio-printing, tissue-engineered cell scaffolds and CRISPR-Cas9, for studying the mechanisms of tumorigenesis and drug resistance, drug screening and development, personalized treatment and modeling vascularization and tumor-immune interactions. CRISPR-Cas9, clustered regularly interspaced short palindromic repeats-associated protein 9; sgRNA, single guide RNA; PAM, protospacer adjacent motif.</p></caption>
<graphic xlink:href="mmr-31-06-13505-g01.jpg"/>
</fig>
<fig id="f3-mmr-31-6-13505" position="float">
<label>Figure 3.</label>
<caption><p>Microfluidic organ-on-a-chip platform. (A) Microfluidic organ-on-chip platform enables controllable cell culture within an organotypic microarchitectural environment (reproduced with permission. Copyright 2021, Elsevier Inc.). (B) Schematic diagram of the multi-chamber microfluidic device. The chip consists of two chambers separated by a 0.4-&#x00B5;m porous membrane. Cells are installed in the upper chamber through the inlet and culture medium is perfused through the lower chamber to maintain the cell viability (reproduced with permission. Copyright 2022, Springer Nature).</p></caption>
<graphic xlink:href="mmr-31-06-13505-g02.jpg"/>
</fig>
<fig id="f4-mmr-31-6-13505" position="float">
<label>Figure 4.</label>
<caption><p>Tumor organoid culture based on 3D bio-printing. (A) Inkjet printing to quantify tumor heterogeneity (reproduced with permission. Copyright 2020, IOP Publishing). (B) Schematic diagram of immersion printing into a support gelatin bath (reproduced with permission. Copyright 2020, MDPI).</p></caption>
<graphic xlink:href="mmr-31-06-13505-g03.jpg"/>
</fig>
<fig id="f5-mmr-31-6-13505" position="float">
<label>Figure 5.</label>
<caption><p>Schematic diagrams of organoid generation based on ECM hydrogels and CRISPR-Cas9. (A) Generation of gastrointestinal organoids using ECM hydrogels (reproduced with permission Copyright 2022, Springer Nature). (B) Generation of organoids from human normal breast basal and luminal progenitor cells and sequential CRISPR-Cas9-mediated gene editing in organoids of four tumor suppressor genes in breast cancer (reproduced with permission. Copyright 2020, Oxford University Press). (C) Mechanism of CRISPR/Cas9 (reproduced with permission. Copyright 2019, Elsevier Inc.). SEM, stomach extracellular matrix; IEM, intestinal extracellular matrix; sgRNA, single guide RNA; PAM, protospacer adjacent motif; HDR, homology-directed repair; NHEJ, non-homologous DNA end joining.</p></caption>
<graphic xlink:href="mmr-31-06-13505-g04.jpg"/>
</fig>
<fig id="f6-mmr-31-6-13505" position="float">
<label>Figure 6.</label>
<caption><p>Applications of organoids, including disease modeling, drug discovery, precision medicine, microenvironment stimulation and gene editing (reproduced with permission. Copyright 2024, Wiley). CRISPR-Cas9, clustered regularly interspaced short palindromic repeats-associated protein 9.</p></caption>
<graphic xlink:href="mmr-31-06-13505-g05.jpg"/>
</fig>
<table-wrap id="tI-mmr-31-6-13505" position="float">
<label>Table I.</label>
<caption><p>Advantages and limitations of cancer cell lines, PDXs and tumor organoids in cancer research.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Category</th>
<th align="center" valign="bottom">Cancer cell lines</th>
<th align="center" valign="bottom">PDXs</th>
<th align="center" valign="bottom">Tumor organoids</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Advantages</td>
<td align="left" valign="top">Simple operation and culture; high throughput</td>
<td align="left" valign="top">Replicate tumor heterogeneity while preserving the biological features of the tumor and predict the drug sensitivity</td>
<td align="left" valign="top">High throughput; able to recapitulate the tumor heterogeneity while preserving the biological features of the tumor and predict the drug sensitivity; high success rate of generation, short time; low cost</td>
</tr>
<tr>
<td align="left" valign="top">Limitations</td>
<td align="left" valign="top">Unable to reflect the physiological status of tumors and predict drug sensitivity; difficulty in replicating tumor microenvironment</td>
<td align="left" valign="top">Complex operation; time-consuming; high cost; low success rate; can possibly undergo mouse-specific tumor evolution</td>
<td align="left" valign="top">Lack of immune system; unable to model tumor-stroma interactions</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-mmr-31-6-13505"><p>PDX, patient-derived xenograft.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-mmr-31-6-13505" position="float">
<label>Table II.</label>
<caption><p>Advantages and limitations of advanced technologies.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Category</th>
<th align="center" valign="bottom">Organ-on-a-chip</th>
<th align="center" valign="bottom">3D bio-printing</th>
<th align="center" valign="bottom">Tissue-engineered cell scaffolds</th>
<th align="center" valign="bottom">CRISPR-Cas9</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Advantages</td>
<td align="left" valign="top">Specific stroma; a small amount of tissue required for analysis; high-resolution optical measurement; real-time tracking of organoid morphogenesis; inexpensive to manufacture</td>
<td align="left" valign="top">Precisely controls the spatial arrangement of cells, biomaterials and soluble factors; can scale up the organoid systems with hierarchical architecture</td>
<td align="left" valign="top">Supports cell proliferation and attachment; simulates extracellular matrix function <italic>in vivo</italic>; can enlarge the organoid systems with vascular network</td>
<td align="left" valign="top">Identifies novel targets for cancer therapy; produces genetically inhibited models for drug development</td>
</tr>
<tr>
<td align="left" valign="top">Limitations</td>
<td align="left" valign="top">High variability and lack of standardization in methods; small size of the organoid system</td>
<td align="left" valign="top">Unable to replicate tumor progression when monodispersed tumor cells are used as bio-printing building blocks</td>
<td align="left" valign="top">Difficult to adjust for the unique tissue microenvironment</td>
<td align="left" valign="top">High off-target effects; difficult to validate the mutations in target genes</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-mmr-31-6-13505"><p>CRISPR-Cas9, clustered regularly interspaced short palindromic repeats-associated protein 9.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
