Introduction
Lung cancer is one of the most common malignancies globally, and is responsible for >1,700,000 estimated mortalities in 2018 globally (1). Lung adenocarcinoma (LA) is the most commonly occurring histological type of lung cancer, accounting for ~40% of all lung cancer cases in China in 2010 (2). An investigation of the underlying molecular mechanisms and clinical features of LA has resulted in the development of novel markers and therapies for the diagnosis and treatment of different stages of LA (3,4). However, numerous patients with LA are diagnosed at the advanced disease stage, due to a lack of effective approaches; therefore, the 5-year overall survival rate for patients with LA remains low (3). Currently, low-dose computed tomography is the recommended method of choice for screening early-stage lung cancer in high-risk populations, based on a previously published clinical study (5). However, potential false positive tests, over-diagnosis and psychosocial consequences limit its clinical applicability (6). The investigation of classical protein biomarkers, including carcinoembryonic antigen and cytokeratin 19 fragments, are commonly recommended in LA diagnosis and management (7). However, the sensitivity of these tumor markers is dependent on the prevalence rates of lung cancer, and the cut-off value differs in different populations (8,9). Therefore, reliable and effective biomarkers in detecting early-stage LA are urgently required.
Extracellular vesicles (EVs), which are released from cells, are small membrane particles, ranging from 40 to 1,000 nm in diameter, and contain complex molecules, including nucleic acids, proteins and lipids (10). EVs are heterogeneous in size, density, subcellular origin and function, and are classified into the main two subtypes of exosomes and microvesicles (11). EVs, particularly exosomes, are produced by almost all types of cells in the human body, and are secreted into various human body fluids, including blood, saliva, pleural effusion, urine and breast milk (12). A previously published study has demonstrated that abnormal cell-cell communication contributes to carcinogenesis (13); furthermore, the microenvironment of tumors is essential for their rapid proliferation and metastasis to lymph nodes and organs (14). EVs fulfill roles in tumor occurrence, development and survival (15). Previous studies indicated that abnormal microRNA (miRNA) levels identified in EVs from patients with lung cancer, as well as cancer cell-delivered miRNAs or proteins through EVs, promote neighboring cell proliferation and migration (16,17). miRNAs form a series of regulators that repress gene expression following transcription by binding directly to the 3′-untranslated regions (UTRs) of target mRNAs (18,19). For cells, the levels of endogenous miRNAs may be changed when the microenvironment is altered (19-21). Furthermore, altered miRNA profiles have been implicated in human diseases, ranging from psychiatric disorders to malignant tumors (22-24). It is increasingly evident that miRNAs may be sorted into EVs, particularly exosomes, in which they are protected from degradation by ribonucleases; additionally, miRNAs serve important roles in tumorigenesis. However, an assessment of the roles of miRNAs in EVs remains in its infancy, and additional, more functional studies are required in order to delineate the complex roles of dysregulated miRNAs.
In the present study, patients with LA were assessed, and a three-stage study was developed, which may be used to examine relative plasma EV miRNA levels for the diagnosis of early-stage LA. The quantities of plasma EV miRNAs were detected on the basis of high-throughput sequencing and reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Subsequently, the identified plasma EV miRNAs were verified in LA tissue samples, and compared with those in peripheral plasma samples. Additionally, an EV miRNA with altered levels was identified in the patients with LA as a potential, specific and minimally invasive biomarker for early clinical diagnosis of LA. Furthermore, subsequent functional studies demonstrated that miR-505-5p in EVs could be delivered into LA cells, inhibiting cell apoptosis and promoting cell proliferation by targeting tumor protein P53-regulated apoptosis-inducing protein 1 (TP53AIP1).
Materials and methods
Participants and samples
A total of 153 patients with LA (age range, 41-78 years; mean, 65.29 years; males, 88; and females, 65) and 75 healthy participants (age range, 43-78 years; mean, 57.35 years; males, 35; and females, 40) were recruited at Fuxing Hospital, Capital Medical University (Beijing, China) between February 2017 and May 2018. All the cases of LA were histopathologically confirmed, and diagnosed as stage I/II. The basis for clinical staging of LA was the eighth edition of the Union for International Cancer Control Tumor-Node-Metastasis system (25). Healthy controls involved in the present study were members of a healthy population undergoing routine medical examination at Fuxing Hospital, Capital Medical University. Healthy participants who had a history of acute or chronic pneumonia were excluded, as well as those with increased levels of serum tumor markers, or an abnormal chest imaging examination that had identified features such as small nodules, fibrous stripes or ground glass opacity in the lung.
The present study was approved by the Human Basic and Clinical Research Ethics Committee of Fuxing Hospital (approval no. 2018FXHEC-KY-19). All participants provided written informed consent prior to sampling.
The present study was divided into three stages, including the screening (5 patients with LA vs. 5 controls), validation (40 patients with LA vs. 20 controls) and testing (108 patients with LA vs. 50 controls) stages. The level of miR-505-5p and miR-382-3p were also examined in different clinical samples, including plasma EV, raw plasma, and LA and adjacent non-tumor tissue samples.
Blood samples (10 ml) from patients with LA and the healthy controls prior to initial treatment were collected in commercially available ethylenediaminetetraacetic acid-treated tubes. Cells were removed from the plasma samples by centrifugation for 10 min at 1,000 × g 4°C using a refrigerated centrifuge (Becton Dickinson; Becton, Dickinson and Company, Franklin Lakes, NJ, USA). Platelets were depleted by centrifugation for 15 min at 2,000 × g 4°C from the plasma samples. The supernatant obtained following these two centrifugation steps was the standard plasma. The samples were separated out into 0.5 ml aliquots and stored at −80°C. A total of 40 paired LA and adjacent non-tumor tissue samples were collected from surgical patients who had not received preoperative chemoradiotherapy and stored in liquid nitrogen (−196°C).
Isolation of plasma EVs
EVs were extracted from plasma samples using a PuroExo® exosome isolation kit (101Bio; Thermo Fisher Scientific, Inc., Waltham, MA, USA), following the manufacturer’s protocol. Briefly, debris was removed from the plasma samples by centrifugation for 15 min at 3,000 × g at 4°C. The supernatant was diluted by the addition of 500 µl sample buffer (provided in the kit) to the supernatant, prior to mixing with 250 µl prepared mixture reagent (provided in the kit). After vortex-mixing for 10 sec at 25°C, the mixture was incubated for 30 min at 4°C followed by centrifugation at 3,000 × g at 4°C for 2 min, and the samples were then divided into 3 layers. The middle, ‘fluffy’ layer was transferred to a fresh tube and centrifuged at 5,000 × g at 4°C for 3 min. Subsequently, a new 3-layer separation appeared and only the middle ‘fluffy’ layer was retained. A total of 500 µl PBS was added to the fluffy pellets, and the resuspended solution was then centrifuged 5,000 × g at 4°C for 3 min. The supernatant was placed into a PuroExo® column and centrifuged for 5 min at 3,000 × g at 4°C. The flow-through comprised the isolated pure exosomes.
Transmission electron microscopy
A solution of 2% paraformaldehyde was prepared to fix the EVs at 4°C for 10 min, and subsequently 5 µl EV suspension was transferred to each carbon-coated 200 mesh copper grid. Adsorption was allowed to occur for 5 min at 4°C. The grids were washed twice with PBS, followed by 8 washes with deionized water. The grids were counterstained with uranyl acetate (2%) for 1 min at 4°C, and subsequently air-dried. Negative staining of EVs was observed on the basis of their shape, structure and size using a Philips CM12 transmission electron microscope at ×80,000 magnification (Philips Research China, Ltd., Shanghai, China).
Nanoparticle-tracking analysis
Size distribution and concentration of the EVs were measured using ZetaView® nanoparticle-tracking analysis instrumentation (Particle Metrix, Meerbusch, Germany). Briefly, after isolation from the plasma, diluted EVs samples were added to the measurement system. Particle size distribution was calculated on the basis of the Brownian motion of individual particles, according to the Stokes-Einstein equation (26).
RNA extraction and RT-qPCR
Total RNA from plasma EVs or the plasma of patients with LA and the healthy controls, or frozen tissues of patients with LA, or cell lines (including A549, H1299 and 293T cells) was extracted using a miRNeasy Mini kit (Qiagen, Inc., Valencia, CA, USA). For EVs and plasma RNA extraction, Cel-miR-39 was added into the samples prior to extraction as external control. RT-qPCR was applied to detect the relative expression levels of selected miRNAs. RNA was reverse-transcribed using an Applied Biosystems™ TaqMan® MicroRNA Reverse Transcription kit and amplified with Applied Biosystems TaqMan Universal PCR Master mix, together with miRNA-specific Applied Biosystems TaqMan MGB probes (labeled by fluorescein and minor groove binder; Applied Biosystems; Thermo Fisher Scientific, Inc.), according to the manufacturer’s protocol. The quantity of RNA and its purity were measured on a Nanodrop Technologies ND-2000 spectrophotometer (Thermo Fisher Scientific, Inc.). Only samples with the appropriate absorbance measurements (A260/A280 of ~2.0, and A260/A230 of 1.9-2.2) were considered for inclusion in the present study. The reaction conditions were as follows: 95°C for 10 min, followed by 40 cycles of 95°C for 15 sec and 60°C for 1 min. In order to compare the miRNA levels between different samples, the 2-ΔΔCq method was used (27). Primers sequences are detailed in Table I. Plasma EVs and plasma samples were normalized against Cel-miR-39, whereas cell lines and frozen tissues were normalized to U6. A total of three triplicate experiments were performed in each case.
According to the high-through sequencing results, the top 5 upregulated miRNAs and top 5 downregulated miRNAs were firstly detected in the plasma EVs from a cohort consists of 40 patients with LA vs. 20 controls. Subsequently, four significantly-altered miRNAs were selected for the testing stage, for validation in 108 patients with LA and 50 matched controls.
High-throughput sequencing
A total amount of 1 µg total RNA per sample was used as input material for the small RNA library. NEBNext® Multiplex Small RNA Library Prep Set for Illumina® (New England BioLabs, Inc., Ipswich, MA, USA) was used to generate the sequencing libraries. The clustering of index-coded samples was performed on a cBot Cluster Generation system with TruSeq SR Cluster kit, v3-cBot-HS (Illumina Inc., San Diego, CA, USA), according to the manufacturer’s protocol. Subsequently, the library was subjected to an Illumina HiSeq 2500/2000 platform for sequencing, and 50 bp single-end reads were generated. Raw data were first processed through custom Perl and Python scripts. Clean data (clean reads) were read by removing reads containing poly-N with 5′-adapter contaminants, without 3′ adapter or the insert tag, or containing poly-A or -T or -G or -C from raw data, as well as low-quality reads. Q20, Q30 and the GC content of raw data were then calculated. Subsequently, a certain range (18-40 nucleotides) of length from clean reads was selected for downstream analyses. After unpaired Student’s t-test analysis, the top 5 upregulated miRNAs and top 5 downregulated miRNAs in the EVs from patients with LA were selected for further assessment.
MicroRNA targets prediction and gene ontology analysis
The direct targets of miR-505-5p were predicted using TargetScan 7.0 (http://www.targetscan.org/vert_70/). The top 1,000 predicted target genes were subjected to Gene Ontology analysis. The Gene Ontology analysis was processed with DAVID Bioinformatics Resources 6.8 (https://david.ncifcrf.gov/).
Cell culture
A549, H1299 and 293T cells purchased from the China Infrastructure of Cell Line Resources (Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China) were cultured in Dulbecco’s modified Eagle’s medium (DMEM) supplemented with 10% HyClone™ fetal bovine serum (FBS) (Hyclone; GE Healthcare Life Sciences, Logan, UT, USA), 100 U/ml penicillin and 100 U/ml streptomycin at 37°C in a humid atmosphere containing 5% CO2. For the cell proliferation and apoptosis assay experiments, exosome-depleted FBS (Systems Biosciences, Palo Alto, CA, USA) was used for cell culture.
Cell transfection
A549 and H1299 cells (1×105) were seeded into 6-well plates 1 day prior to transfection. The cells were transfected with 25 nM miR-505 mimic or inhibitor (Shanghai GenePharma Co., Ltd., Shanghai, China) with Invitrogen Lipofectamine® 2000 reagent (Invitrogen; Thermo Fisher Scientific, Inc.), according to the manufacturer’s protocol. After 48 h following transfection, the transfection efficiency was determined by RT-qPCR, as aforementioned. The miR-505 mimic is a double strand RNA oligo, with sequence scrambled double strand RNA oligo as control. Furthermore, the miR-505 inhibitor is a single strand RNA oligo, with sequence scrambled single strand RNA oligo as control. The sequences for miR-505 mimic, inhibitor and corresponding control are: miR-505 mimic, 5′-GGGAGCCAGGAAGUAUUGAUGU-3′; mimic control, 5′-AGUGUUGGACUAAGCGGAGGUA-3′; miR-505 inhibitor, 5′-ACAUCAAUACUUCCUGGCUCCC-3′; and inhibitor control, 5′-UAACACGUCUAUACGCCCA-3′.
Co-culture of cells and exosomes
A549 and H1299 cells (5×103) were seeded into 96-well plates in DMEM supplemented with exosome-depleted FBS, 100 U/ml penicillin and 100 U/ml streptomycin, and the cells were incubated at 37°C overnight. EVs isolated from the plasma samples of 10 patients with LA and 10 control subjects were added into the cells at a final concentration of 100 µg/ml for 48 h at 37°C for co-cultivation.
Dual luciferase assay
A 221 bp fragment of the 3′-UTR from TP53AIP1 was cloned downstream of the firefly luciferase gene into a pmirGLO plasmid (Promega Corporation, Madison, WI, USA) to generate the reporter vector. miRNA mimic, miRNA inhibitor and sequence scrambled single- and double-strand control oligos were purchased from Shanghai GenePharma Co., Ltd. 293T cells were seeded into 48-well plates at 5×104 cells/well, attached overnight for luciferase reporter assays. The reporter vector was co-transfected into cells with miRNA mimic or inhibitor using Invitrogen Lipofectamine 2000. At 2 days after transfection, the cells were lysed, and the luciferase activity was analyzed using a Dual-Luciferase® Reporter Assay System (Promega Corporation). Experiments were performed in triplicate, and the results were analyzed as the relative luciferase activity (firefly luciferase/Renilla luciferase).
Immunoblotting
Protein samples were quantified using a Pierce BCA Protein Assay kit (Pierce; Thermo Fisher Scientific, Inc.), according to the manufacturer’s protocols. Protein samples were heated with SDS sample buffer (0.25 M Tris-HCl, pH 6.8, 0.5 M DTT, 10% SDS, 50% glycerol and 0.5% bromophenol blue) at 95°C for 5 min, A total of 30 µg were loaded per lane and then separated on 15% SDS-PAGE and electroblotted onto polyvinylidene fluoride membranes (Amersham; GE Healthcare Life Sciences, Little Chalfont, UK). Subsequently, the membranes were incubated with anti-TP53AIP1 rabbit polyclonal antibody at a dilution of 1:1,000 (cat. no. ab217785; Abcam, Cambridge, MA, USA) and anti-β-actin mouse monoclonal antibody at a dilution of 1:3,000 (cat. no. sc-47778; Santa Cruz Biotechnology, Inc., Dallas, TX, USA) overnight at 4°C. Immunoreactive bands were detected by incubation with horseradish peroxidase-conjugated goat anti-rabbit (cat. no. ab205718) or rabbit anti-mouse IgG (cat. no. ab6728; Abcam) at a dilution of 1:5,000 for 2 h at room temperature. Detection by chemiluminescence was performed using a Pierce enhanced chemiluminescence kit (Pierce; Thermo Fisher Scientific, Inc.).
Cell proliferation assay
The extent of cell proliferation was measured according to cell viability, which was evaluated using an MTT assay. Briefly, A549 and H1299 cells (5×103) were seeded into 96-well plates in DMEM and incubated at 37°C overnight. The cells were transfected with miR-505-inhibitor for 24 h using the same protocol as aforementioned. EVs of patients with LA or healthy control subjects were added in each well (final concentration, 100 µg/l) 24 h after transfection, and the cells were subsequently incubated at 37°C for 48 h. Aliquots (20 µl) of MTT solution (5 mg/ml; Sigma-Aldrich; Merck KGaA, Darmstadt, Germany) were added to each well after co-cultivation, and the cells were further incubated at 37°C for 4 h. The absorbance was read at 570 nm on a 96-well plate reader following the addition of dimethyl sulfoxide.
Cell apoptosis assay
Cell apoptosis was assessed using flow cytometric analysis, following Annexin V-fluorescein isothiocyanate (FITC) and propidium iodide staining using a FITC Annexin V Apoptosis Detection kit (BioLegend, Inc., San Diego, CA, USA). Results were analyzed with a flow cytometer and FlowJo software (v10.4.1; Tree Star, Inc., Ashland, OR, USA).
Statistical analysis
Statistical analysis was performed using SPSS software version 19.0 (IBM Corp., Armonk, NY, USA) and data are presented as the mean ± standard. Luciferase activity, and the cell apoptosis and proliferation data were analyzed by paired Student’s t-test. The miRNA expression levels were evaluated by unpaired Student’s t-test. Clinical characteristics were evaluated by the χ2 test. Receiver operating characteristic (ROC) curves were employed to measure the optimal cut-off value for each selected miRNA. The score for each miRNA was considered to be 1 for expression levels above the cutoff value; otherwise, it was set as 0. The area under the ROC curve (AUC) was used to evaluate the diagnostic value of each selected miRNA in LA. Fisher’s exact test was used for gene-enrichment analysis. P<0.05 was considered to indicate a statistically significant difference.
Results
Identification of altered miRNAs in patients with LA
To identify altered levels of EV miRNAs in plasma from patients with early-stage LA, peripheral blood samples were collected from 153 patients with LA and 75 healthy participants. The present study was divided into three stages, including the screening, validation and testing stages. The clinical characteristics are detailed in Table II.
Plasma EVs were assessed by transmission electron microscopy and nanoparticle-tracking analysis. The results obtained revealed that the majority of the vesicles had the typical exosome size (28) (30-200 nm in diameter; Fig. 1A) and a bilayer membrane structure (Fig. 1B).
During the screening stage, the expression profile miRNAs was assessed based on high-throughput sequencing in 5 patients with LA and 5 matched healthy controls. The top 5 upregulated miRNAs (miR-486-3p, miR-194-5p, miR-486-5p, miR-16-3p and miR-505-5p) and top 5 downregulated miRNAs (miR-411-5p, miR-126-3p, miR-495-3p, miR-382-3p and miR-410-3p) (Fig. 2A) were selected for further assessment. In the validation stage, the 10 aforementioned miRNAs selected as candidate miRNAs were assessed using RT-qPCR, with a cohort consisting of 40 patients with LA and 20 matched healthy controls. As depicted in Fig. 2B, the levels of miR-486-3p, miR-486-5p and miR-505-5p in EVs were significantly increased in LA patients, compared with the control subjects (P=0.015, P=0.011 and P=0.031, respectively). Furthermore, the plasma EV levels of miR-382-3p were significantly reduced in patients with LA, compared with control subjects (P=0.039).
Subsequently, these four miRNAs were selected for the testing stage, for validation in 108 patients with LA and 50 matched controls. As depicted in Fig. 3A, the miR-505-5p levels were significantly elevated in patients with LA (P=0.015), whereas the levels of miR-382-3p were significantly reduced (P=0.031), compared with control subjects.
Diagnostic values of plasma EV miRNAs
To assess the performances of the two aforementioned EV miRNAs in distinguishing patients with LA from control subjects, optimal cut-off values for miR-505-5p and miR-382-3p in EVs were determined based on ROC curves in the testing cohort. As depicted in Fig. 3B, miR-505-5p had an AUC of 0.899 (95% confidence interval, 0.826-0.974), with a sensitivity and specificity of 83.3 and 93.3%, respectively; whereas, miR-382-3p exhibited an AUC of 0.851 (95% confidence interval, 0.773-0.928), with a sensitivity and specificity of 81.5 and 71.1%, respectively. Additionally, the two miRNAs in combination exhibited an increased ability to distinguish the two experimental groups, compared with either miRNA alone, with an AUC of 0.950 (95% confidence interval, 0.906-0.995; sensitivity, 85.7%; and specificity, 95.8%).
Verification of miRNAs in tissue samples and plasma
To examine the expression pattern consistency of miR-505-5p and miR-382-3p in different clinical samples, the levels of miR-505-5p and miR-382-3p in plasma EV and raw plasma from a cohort comprising of 40 patients with LA and 40 controls were analyzed. Furthermore, the levels of these two miRNAs were also detected in 40 paired LA and adjacent non-tumor tissue samples.
As depicted in Fig. 4, the levels of miR-505-5p were statistically increased in plasma EVs. Furthermore, the levels of miR-505-5p were significantly increased in tumor samples, compared with the corresponding adjacent normal tissues, whereas the levels of miR-382-3p revealed no statistical differences between tumor and adjacent normal tissue specimens. Furthermore, only the levels of miR-505-5p in the plasma of patients with LA were significantly increased, compared with the control group.
Investigation of miR-505-5p function in lung cancer
To investigate miR-505-5p function in LA pathogenesis, the direct targets of miR-505-5p were first predicted with the TargetScan online bioinformatics tool. The top 1,000 predicted target genes were subjected to Gene Ontology analysis, and 9 of them were identified to be potentially involved in the cell apoptotic signaling pathway (Fig. 5), including TP53AIP1.
TP53AIP1 is a p53-inducible gene that serves an important role in mediating p53-dependent apoptosis (29). Although TP53AIP1 is predominantly expressed in the thymus, it is also detectable in the lungs, and reduced levels of TP53AIP1 in lung cancer tissues is considered to be a predictor of poor prognosis in patients with non-small cell lung cancer (NSCLC) (30,31). Therefore, a 221 bp fragment of the TP53AIP1 3′-UTR was subsequently cloned downstream of the firefly luciferase gene in the pmirGLO plasmid; additionally, a plasmid with 4 nucleotide mutations was also generated as the mutant reporter vector (Fig. 6A). As depicted in Fig. 6B, relative luciferase activity was significantly downregulated in cells treated with the miR-505-5p mimic, compared with control, whereas the luciferase activity was upregulated following transfection with the miR-505-5p inhibitor, compared with inhibitor control. By contrast, for the mutant reporter vector, which featured the 4 nucleotide mutations, relative luciferase activity was not significantly reduced by the miR-505-5p mimic, indicating that miR-505-5p inhibited luciferase expression by targeting the 3′-UTR of TP53AIP1. Subsequently, the miR-505-5p mimic and inhibitor were transfected into the human NSCLC cell lines, A549 and H1299 for 72 h. TP53AIP1 protein levels then were assessed using immunoblotting. As depicted in Fig. 6C, TP53AIP1 protein expression was downregulated by the miR-505-5p mimic, and upregulated by the miR-505-5p inhibitor. Furthermore, the overexpression and knockdown, respectively, of miR-505-5p in miR-505-5p mimic- or inhibitor-transfected A549 and H1299 cells were confirmed by RT-qPCR (Fig. 6D). These results revealed that miR-505-5p inhibited endogenous TP53AIP1 expression by targeting its mRNA 3′-UTR. To understand the biological function of miR-505-5p, the miR-505-5p mimic or the inhibitor was transfected into A549 and H1299 cells. A significant increase in the viability of the miR-505-5p-overexpressed cells and a significant decrease in the viability of the miR-505-5p knockdown cells were observed (Fig. 6E). Furthermore, cell apoptosis was significantly suppressed in the presence of the miR-505-5p mimic and significantly promoted by the miR-505-5p inhibitor in A549 and H1299 cells, indicating that miR-505-5p functions as an oncogene in lung cancer cells (Fig. 6F).
To further assess the functional role of an increased level of miR-505-5p in EVs, EVs were isolated from the plasma samples of 10 patients with LA and 10 control subjects. A549 and H1299 cells were co-cultured with the plasma EVs of the patients and the controls, separately, for 48 h, and the levels of cell viability and apoptosis were determined. As depicted in Fig. 7A, following co-culture with EVs from the patients with LA, the miR-505-5p levels in A549 and H1299 cells were significantly increased. Additionally, cell viability was significantly increased, and the apoptotic rate was significantly reduced (Fig. 7B and C). By contrast, when cells were first treated with the miR-505-5p inhibitor and subsequently co-cultured with EVs, the resultant miR-505-5p levels were revealed to be similar, and cell viability and apoptosis were not significantly altered, indicating further that miR-505-5p delivered by the EVs was the key regulator of cell viability and apoptosis.
Discussion
Tumor-derived EVs containing specific proteins and RNAs are attracting increasing interest as promising cancer biomarkers (32). These EVs are easily obtained from biological fluids, are highly stable and bear the characteristics of their parental cells. These molecules fulfill a variety of associated roles in key physiological and pathological activities, including the transportation of oncoproteins and tumor-specific miRNA molecules throughout the body (33). As such, they are considered as ideal biomarkers for cancer diagnosis and prognosis due to their high sensitivity and minimal invasiveness (34,35). However, data regarding plasma EVs in LA are relatively rare, and are frequently conflicting (36-39,27-30). In the present study, the presence of altered levels of miRNAs in plasma EVs was firstly screened from 5 patients with LA and 5 healthy controls. A total of 10 candidate miRNAs were further examined in a larger population comprising 148 patients with LA and 70 control subjects. The level of miR-505-5p was revealed to be increased, whereas that of miR-382-3p was reduced in the plasma EVs derived from the patients with LA. After performing statistical analysis, the levels of miR-505-5p and miR-382-3p were capable of being used to distinguish patients with LA from healthy controls, and had the potential to become a biomarker for early-stage LA diagnosis.
The human miR-505 gene is first transcribed into an 84 bp pre-miR-505, which is further processed into mature miRNAs, including miR-505-3p and miR-505-5p (40). miR-505-3p is the predominant miRNA, having a relative increased level, compared with miR-505-5p in different human cells (40). It has been reported that miR-505-3p functions as a tumor suppressor in endometrial cancer, osteosarcoma and hepatoma by targeting transforming growth factor-α and high mobility group box 1 (41-43). However, the function of miR-505-5p has yet to be fully elucidated. In the present study, it was revealed that only the miR-505-5p level was altered in the plasma and tumor tissues of patients. The role of miR-505-5p in lung cancer cell lines was subsequently examined, and it was demonstrated that miR-505-5p functions as an oncogene by promoting cell proliferation via the targeting of TP53AIP1. To the best of our knowledge, the present study is the first published study in which an investigation of the role of miR-505-5p in LA has partially uncovered the mechanism of miR-505-5p during the tumorigenesis of LA, also providing a novel biomarker for LA treatment.
Chen et al (44) demonstrated that miR-382 expression is decreased in NSCLC tissue samples, particularly in patients with stage III/V cancer and metastatic tumors (44). However, in the present study, altered miR-382 levels in the tumor samples from patients with LA were not identified. This difference may be attributed to having a different cohort of research subjects. The present study was focused only on patients with early-stage LA, whereas that of Chen et al (44) detected the level of miR-382 in tumors from all patients with NSCLC. These contrasting results also indicate that miR-382 may have the potential for staging lung cancer, a possibility that should be investigated further in patients with different types and stages of NSCLC.
A number of groups have identified certain candidate miRNAs that have the potential for LA diagnosis, although whether these miRNAs are functional remains unclear (45-47). Therefore, functional studies were performed to assess the role of miR-505-5p in EVs. Following co-culture, it was confirmed that miR-505-5p in EVs could be delivered into cancer cells. Furthermore, the EV-delivered miR-505-5p retained its functional properties, promoting proliferation and repressing cell apoptosis, indicating that EV miR-505-5p serves an important role in cell-cell communication.
A few limitations of the present study should be acknowledged. Firstly, the data included the Chinese Han population, and the roles of miR-505-5p and miR-382-3p in other populations require further evaluation. Secondly, although the miR-505-5p inhibitor almost rescued the function of EVs following co-culture, proteins and other miRNAs in EVs may also have contributed to the obtained data.
In conclusion, miR-505-5p in EVs was identified as a candidate molecule for early-stage LA detection, and its function in association with LA tumorigenesis has been partially uncovered. These observations provide novel insights into LA development, early diagnosis and treatment.