Circulating exosomal microRNAs as novel potential detection biomarkers in pancreatic cancer
- Authors:
- Published online on: May 30, 2020 https://doi.org/10.3892/ol.2020.11691
- Pages: 1432-1440
-
Copyright: © Wu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Pancreatic cancer (PC) is one of the most highly malignant cancers, with a mean 5-year survival rate of <9% in the United States (1,2). According to a previous report, PC is responsible for ~227,000 deaths annually worldwide due to its high recurrence rate, asymptomatic onset and <5% resectable localized tumors (3). Unfortunately, early diagnostic and effective treatment strategies are lacking for PC and there is an urgent need to explore diagnostic tools with high sensitivity, specificity and repeatability (4). Thus, there is an urgent need to investigate the underlying molecular mechanisms of PC and identify novel diagnostic biomarkers for the disease. Identifying a minimally invasive/non-invasive and sensitive diagnostic method has recently become a popular topic of research and there has been some progression in the study of serum markers (5,6). Further elucidation of the associated biological processes involved is crucial as it may uncover novel potential biomarkers for early diagnosis of PC.
MicroRNAs (miRNAs) are 18–22 nucleotides in length, endogenous non-coding single-stranded RNAs that regulate gene expression by binding to the 5′ or 3′-untranslated regions post-transcriptionally or to the open reading frames (7,8). mRNA or protein is degraded or translation suppressed by miRNAs through this interference process (9). Numerous studies have demonstrated that miRNAs are involved in a variety of malignancies, such as PC, lung, breast and prostate cancer (10–12). In particular, the clinical applications of miRNAs have been investigated as biomarkers for early diagnosis and treatment of tumors, clinical response and histological classification (13). Due to the repeatability and ease of sample collection, circulating miRNAs are currently being investigated as non-invasive biomarkers in the early diagnosis of different types of cancer (14). Valadi et al (15) first extracted and verified miRNAs in exosomes, and demonstrated that exosomes are secreted by different types of cells and may be used for transporting proteins, mRNAs and miRNAs to target cells. The study of miRNAs in exosomes is becoming a new research focus. Furthermore, it was revealed that exosomal (ex)-miRNAs may play crucial roles in biological processes such as tumor progression, cell proliferation, invasion, metastasis, apoptosis and differentiation (16–19), and may be of value as novel serum biomarkers for the early diagnosis of cancer, such as PC.
Exosomes originate from internal multivesicular bodies and are membranous vesicles with a diameter of 30–120 nm (20,21). Exosomes have been identified in serum, plasma, breast milk and other human bodily fluids (22). Recent findings have reported that ex-miRNAs contain miRNA, mRNA and cell-specific proteins, and have been used as diagnostic biomarkers in tumor cells as they may reflect genetic information and molecular signatures of the various cells of origin (23–25). Tumor cell derived exosomes contain tumor-specific miRNAs and their roles are emerging in malignant progression (26). However, to the best of our knowledge, the role of circulating ex-miRNAs in PC has not yet been extensively investigated.
Previous studies have demonstrated that miRNA-21 and miRNA-210 are associated with a poor prognosis in PC; however, the findings of these studies were based on tumor tissues and a small sample size limited their clinical significance (27,28). Furthermore, there are currently few reports on the significance of circulating ex-miRNAs as diagnostic markers of PC (29–31). The aim of the present study was to investigate the diagnostic relevance of two circulating serum ex-miRNAs, miRNA-21 and miRNA-210 as novel serological biomarkers for PC.
Materials and methods
Patients
A total of 40 patients at the Renmin Hospital of Wuhan University (Wuhan, China) were enrolled between March 2018 and August 2019 in the present study and their clinicopathological characteristics were evaluated. Among the patients, 30 had PC and 10 had CP. A diagnosis of PC was made by pathology or cytology, while a diagnosis of chronic pancreatitis (CP) was made by pathology or clinical criteria based on the World Health Organization Classification of Tumours of the Digestive System (32). The enrollment criteria included subjects who had not received neoadjuvant chemoradiotherapy. Patients were excluded if the diagnosis of PC was not pathologically confirmed. Cases were staged according to the modified European Neuroendocrine Tumor Society Tumor-Node-Metastasis (TNM) staging system (33). The serum ex-microRNAs in patients with PC were detected prior to surgical resection. The study protocol was approved by the Ethics Committee of Renmin Hospital of Wuhan University (approval no. 20180212; Wuhan, China). Written informed consent was provided by all patients.
Isolation and identification of exosomes from the serum of patients with PC
Blood samples (5–6 ml) were collected from all patients and centrifuged at 500 × g for 5 min at 4°C. The supernatants were preserved at −80°C until further use. Exosomes were isolated from serum samples using the Exosome extraction kit (System Biosciences). Briefly, 500 µl of serum was mixed with 120 µl ExoQuick solution and incubated at 4°C for 30 min. The mixed solution (ExoQuick/serum) was centrifuged at 12,000 × g for 2 min. for obtaining exosome pellets. Transmission electron microscopy (TEM; cat. no. HT7800; Hitachi High-Technologies Corporation; HC mode, ×200-200,000; HR mode, ×4,000-600,000; LowMag mode, ×50-1,000) was used to visualize and verify the exosomes that were extracted from the serum. The nanoparticle size distribution and concentration of vesicles were analyzed on the NanoSight LM10-HS instrument (NanoSight, Ltd.) using NTA 3.0 software (34).
Western blotting
The exosomes marker proteins were detected by western blotting. Total protein of exosomes was extracted with a cell lysis buffer (cat. no. 9803; Cell Signaling Technology, Inc.) supplemented with 1 mM protease inhibitor cocktail (cat. no. 5871; Cell Signaling Technology, Inc.). Equal amounts of extracted protein (0.5 µg/lane) were separated by 10% SDS-PAGE and transferred to polyvinylidene difluoride (PVDF) membranes (Thermo Fisher Scientific, Inc.). The blots were blocked with 5% non-fat milk at 37°C for 2 h prior to incubation overnight at 4°C with primary antibodies anti-cluster of differentiation (CD)63 (1:500; cat. no. ARG57952; Arigo Biolaboratories, Corp.), antitumor susceptibility gene (TSG)101 (1:1,000; cat. no. ab125011; Abcam) and anti-CD81 (1:500; cat. no. MA1-10290; Thermo Fisher Scientific, Inc.). GAPDH (1:5,000; cat. no. AF7021; Affinity Biosciences) was used as the internal loading control. The blots were incubated with horseradish peroxidase-conjugated anti-IgG secondary antibodies (1:5,000; cat. no. ANT022; Wuhan AntGene Biotechnology Co., Ltd.) at room temperature for 2 h, and subsequently developed using an enhanced chemiluminescence kit (cat. no. 34095; Thermo Fisher Scientific, Inc.) and semi-quantified using the Quantity One software version 4.62 (Bio-Rad Laboratories Inc.).
miRNA extraction
miRNA extraction from the isolated exosomes was performed using a miRNeasy Mini kit (Qiagen GmbH) according to the manufacturer's instructions. The final volumes of RNA were standardized by dilution with 30 µl nuclease-free water (cat. no. ST876; Beyotime Institute of Biotechnology). The RNA concentration in 2 µl was quantified using a Microvolume UV–Vis Spectrophotometer (cat. no. ND-ONE-W; Thermo Fisher Scientific, Inc.).
Measurement of miRNA levels using reverse transcription-quantitative (RT-q) PCR
In order to investigate ex-miRNAs, miRNA-21 and miRNA-210 were selected (34,35). Total RNA extraction from the isolated exosomes was performed as aforementioned. The RNA was reverse-transcribed using the TaqMan MicroRNA Reverse Transcription kit (Qiagen GmbH) at 37°C for 60 min and 94°C for 5 min. qPCR was performed using the TaqMan miRNA kit according to the manufacturer's protocol (Qiagen GmbH) and Cq values were calculated. The primers used were as follows: miR-21 forward, 5′-CGCTAGCTTATCAGACTG-3′ and reverse, 5′-GAGCAGGCTGGAGAA-3′; miR-210 forward, 5′-ACACTCCAGCTGGGCTGTGCGTGTG-3′ and reverse, 5′-CAACTGGTGTCGTGGAGTCG-3′. PCR amplifications were performed in triplicate for each sample. The thermocycling conditions used were as follows: 95°C for 15 min, followed by 45 cycles at 94°C for 15 sec and finally 55°C for 30 sec. The relative miRNA expression values were normalized to cel-miR-39 (36,37) and calculated using the 2−ΔΔCq method (38).
Statistical analysis
Data were statistically analyzed using SPSS version 20.0 (IBM Corp.). Data are presented as the median (interquartile range) or n (%) values as appropriate. The association between miRNA expression levels and clinicopathological features was examined by χ2 or Fisher's exact test. Comparisons of continuous data were made using the unpaired Student's t-test. The optimal cut-off was established as the mean threshold or critical value that maximized the sum of sensitivity and specificity using time-dependent receiver operating characteristic (ROC) curves and the areas under curves (AUC). The diagnostic value of the candidate miRNAs was evaluated by calculating specificity and sensitivity. The cut-off points were determined using the Youden index and were 0.09 and 0.0012 for miRNA-21 and miRNA-210, respectively. AUCs for miRNAs and CA19-9 were compared using Z tests. P<0.05 was considered to indicate a statistically significant difference.
Results
Patient characteristics
Clinicopathological characteristics of the patients are presented in Table I. The mean age was 62 years for patients with PC and 50.5 years for patients with CP. The median diameter of the tumor was 4.2 cm in patients with PC (data not shown). The mean level of serum carbohydrate antigen (CA) 19-9 was significantly higher in patients with PC compared with patients with CP (P<0.05), whereas no statistically significant differences were observed in sex or age (Table I).
Table I.Comparison of mean values of age, sex, location, stage, T factor and CA19-9 levels between patients with PC and CP. |
Identification of circulating serum exosomes
Exosomes were collected and observed using TEM (Fig. 1A and B) in accordance with the characteristics of exosomes previously described (39). Numerous small vesicles were observed by a NanoSight in the range of 50–100 nm and the size and overall concentration were ~93 nm and 1.3×109 particles/ml, respectively (Fig. 1C). Known exosome-specific markers, such as CD63, CD81 and TSG101 were identified in the vesicles by western blotting, and the exosome vesicles obtained from patients with PC were compared with those from patients with CP; it was observed by western blot analysis that the expression of these markers in patients with PC was stronger than that in patients with CP (Fig. 1D).
Expression level of serum ex- and serum fr-circulating miRNAs in patients with PC and CP by RT-qPCR
The expression levels of serum ex-miRNA-21 and miRNA-210 were significantly higher in patients with PC (P<0.01; Fig. 2). There was a significant difference between the AUC values for ex-miRNA-21 and fr-miRNA-21 (P=0.003; Fig. 3A). Similarly, there was a significant difference between the AUC values for ex-miRNA-210 and fr-miRNA-210 (P=0.009; Fig. 3B).
Comparison of the diagnostic values of ex-miRNAs, serum circulating miRNAs and CA19-9 quantitation
Diagnostic values of serum circulating free or exosomal miRNA-21 and miRNA-210 were investigated. The AUC values for ex-miRNA-21 and ex-miRNA-210 levels were significantly higher compared with those for serum CA19-9 levels (both P=0.038; Fig. 3C and D). The cut-off values for ex-miRNA-21 and ex-miRNA-210 levels were determined and used to stratify patients into two groups (positive or negative) for each ex-miRNA. The accuracy of ex-miRNA-21 (83%) and ex-miRNA-210 (85%) were superior compared with serum fr-miRNA-21 (73%) and fr-miRNA-210 (78%) (Table II). When combining the results of ex-miRNA-21 and ex-miR-210, the accuracy, specificity and sensitivity were 90, 80 and 93%, respectively (Table II). Taking the positive results of either ex-miRNA-21/ex-miRNA-210 levels or serum cytology as the criterion for diagnosis of PC, the specificity of the combined test (with CA19-9) and sensitivity was 90% (Table II).
Table II.Diagnostic value of Ex-miR or serum Fr -miRNA21 and -miRNA210 level for patients with PC calculated via receiver operating characteristic curve analysis. |
Serum ex-miRNA-21 and miRNA-210 levels are associated with multiple prognostic factors of PC
Associations between the relative levels of these miRNA-21 and miRNA-210 and clinical characteristics were evaluated. High and low expression levels of miRNA-21 and miRNA-210 were based on the cut-off values of 0.09 and 0.0012, respectively. The expression levels of miRNA-21 and miRNA-210 were associated with the Tumor-Node (TN) stage (31), and the levels of these miRNAs were closely associated with advanced disease (P<0.05) and other prognostic factors, including TN stage, age, treatment history, location, CA19-9, size of tumor and CRP, while they were not associated with sex and M stage (Table III).
Table III.Associations between expression levels of both serum ex-miRNA-21 and ex-miRNA-210 level and clinical characteristics in patients with pancreatic cancer (n=30). |
Discussion
Recently, the abnormal expression of serum ex-miRNAs has emerged as a potential novel biomarker of tumor diagnosis and progression due to their stability in plasma/serum and their specific expression profiles which reflect the gene information and biological properties of tumor cells (40,41). These serum ex-miRNAs may be used as non-invasive, specific and sensitive biomarkers for the diagnosis and prognosis of tumors (42). Alterations of circulating miRNAs have been investigated in patients with PC (43). However, studies on serum ex-miRNAs in PC are lacking. In the present study, the levels of fr- and ex-miRNA-21 and miRNA-210 were investigated in patients with PC.
Numerous studies have indicated that serum ex-miRNAs are associated with tumor-derived microRNAs and that these miRNAs may be of value as diagnostic biomarkers for cancer (44,45). In the present study, compared with patients with CP, the expression levels of serum ex-miRNA-21 and miRNA-210 were significantly higher in patients with PC. In contrast, the expression levels of serum fr-miRNA-21 and miRNA-210 did not differ significantly between patients with CP and PC. Whole circulating peripheral blood contains other miRNAs in addition to ex-miRNAs, which are easily degraded probably because these miRNAs are not enclosed in exosomes (46,47). In the present study, it was hypothesized that ex-miRNAs rather than serum fr- miRNAs were preferable and may serve as new biomarkers for PC. In fact, serum ex-miRNAs originating from tumor-derived miRNAs may be used as novel diagnostic biomarkers (48). In addition, ex-miRNAs in the serum or plasma and other bodily fluids may be more stable and valuable as biomarkers for PC detection compared with serum fr-miRNAs.
miRNA-21 is upregulated in different types of tumors, such as esophageal squamous cell carcinoma and breast, lung and liver cancer, and targets tumor-suppressive mRNAs (49,50). It was demonstrated that overexpression of serum ex-miRNA-21 was diagnostic of pancreatic ductal adenocarcinoma (51). In contrast, miRNA-210 acts as an oncogene, and has been demonstrated to be upregulated in various types of tumors compared with adjacent normal tissues contributing to the progression and development of various cancers, including lung cancer and PC via different signaling pathways, including the NF-κB, hypoxia and Akt- and p53-dependent signaling pathways (52,53). The possible clinical application of miRNA-210 in diagnosing and detecting different types of cancer, such as PC, breast, lung and colorectal cancer, was previously investigated (54). In addition, the serum levels of miRNA-210 were previously found to be induced under hypoxic conditions and linked to adverse prognosis in some types of cancer, including colon and breast carcinoma, esophageal adenocarcinoma and liver cancer (55), as a hypoxic environment is common in PC (56,57), it may be worth investigating the potential diagnostic value of serum ex-miRNAs for patients with PC. The analysis of ex-miRNA-21 and miRNA-210 levels among circulating serum miRNAs may represent a feasible strategy for PC diagnosis. It may be inferred that ex-miRNAs in the serum directly reflect the properties of tumor cells, as well as various diseases as the quantity and content of exosomes may be reflective of the pathophysiological state of the cells (58).
In the present study, the potential diagnostic value of serum ex-miRNAs was compared with the serum levels of CA19-9. Ex-miRNA-21 and miRNA-210 levels may be a new diagnostic or therapeutic target for early PC, while CA19-9 levels remained within the normal range. The sensitivity of the serum test was increased to 90% when combining positive results for ex-miRNA-21 and miRNA-210 levels with serum CA19-9 levels, while the specificity remained 90%. The findings of the present study revealed the favorable sensitivity and specificity of circulating fr-miRNA-21 and miRNA-210 for the diagnosis of PC, which was consistent with other findings that the high levels of serum/plasma miR-21 and miR-210 could be used as biomarkers for PC (59,60). However, in the present study PC-associated secreted ex-miR-21 and miR-210 may have clinical relevance in early detection; higher sensitivity, specificity and accuracy compared with serum fr-miRNA. Exosomes are highly heterogeneous and likely reflect the phenotype of the cell that generate them (61). Similar to cells, exosomes are composed of a lipid bilayer, this structure offers high stability in body fluids, making exosomes highly attractive targets for diagnostic markers (62). Serum exosomes are a valuable tool and different methods may be used to investigate their components, which may lead to more accurate, sensitive, cost-effective, and high-throughput diagnoses (63). The present study demonstrated that the serum ex-miRNA-21 and miRNA-210 levels were closely associated with disease state and other prognostic factors, and that they may be used for early diagnosis and prediction of prognosis non-invasively. These data collectively revealed that these serum exosomal miRNAs are potential valuable biomarkers for the diagnosis, screening and prognosis of PC.
The limitations of the present study included the small sample size, which may affect the diagnostic value of exosomal miRNAs. In addition, the expression level of serum ex-miRNAs was not compared between normal controls and PC tissues i.e., the lack of healthy controls to compare with patients with PC and CP, and the western blotting data was only qualitative rather than quantitative. The obvious advantage of ex-miRNAs compared with circulating fr-miRNA for the diagnosis of PC will be investigated in depth in future studies. The mechanisms regulating transfer of ex-miRNAs from tumor cells into the blood is rarely reported, while the association between serum and tissue levels of ex-miRNAs should be a focus of future research. In addition, exosomal miRNAs in the plasma, pancreatic juice, bile, urine, saliva, breast milk and other bodily fluids have not yet been investigated as diagnostic biomarkers and will be examined in future studies. Another limitation of the present study was that the level of change of circulating ex-miRNAs was not examined before and after treatment in patients with PC. Finally, the effect of the degree of circulating ex-miRNA expression on disease progression, tumor cell metastasis and overall survival cannot be concluded from the results of the present study due to the small number of patients with PC and the short follow-up period; this limitation must be addressed by future studies.
The present study demonstrated that serum ex-miRNA-21 and miRNA-210 levels distinguished effectively between patients with PC and those with CP. Furthermore, the combination of ex-miRNAs with CA19-9 was more specific and sensitive compared with serum tests alone for the diagnosis of PC. These findings indicate that circulating ex-miRNAs, miRNA-21 and miRNA-210, may be potential novel biomarkers and therapeutic targets for PC. In addition, the quantitation of ex-miRNAs may be used as a clinical examination for further confirmation of diagnosis. Further investigation of a large number of cases is needed to determine the potential diagnostic, prognostic and clinical value of miRNA-21 and miRNA-210 in patients with PC.
Acknowledgements
Not applicable.
Funding
The present study was funded by the National Natural Scientific Foundation of China (grant no. 81872509), the Free Exploration Project of Hubei University of Medicine (grant no. FDFR201804), the Hubei Province Health and Family Planning Scientific Research Project (grant no. WJ2019M054), the Natural Science Foundation of the Bureau of Science and Technology of Shiyan City (grant no. 18Y76, 17Y47 and 18Y77) and the Natural Science Foundation of Hubei Provincial Department of Education (grant nos. 2019CFB429 and Q20162113).
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Authors' contributions
LW, WBZ, QHC and ZGT contributed to experimental design, procedure and data acquisition. LW, JZ, WBZ, ZGT, WW and YW contributed to data analysis, as well as drafting or revising the manuscript. HMW, XDL, XCC, LY and LCY analyzed the data and assisted in the experiments. All authors read and approved the final version of the manuscript.
Ethics approval and consent to participate
The study protocol was approved by the Ethics Committee of Renmin Hospital of Wuhan University (approval no. 20180212; Wuhan, China). Written informed consent was provided by all patients.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
Siegel RL, Miller KD and Jemal A: Cancer statistics, 2019. CA Cancer J Clin. 69:7–34. 2019. View Article : Google Scholar : PubMed/NCBI | |
Qian L, Li Q, Kwaku B, Qiu W, Li K, Zhang J, Yu Q, Xu D, Liu W, Brand RE, et al: Biosensors for early diagnosis of pancreatic cancer: A review. Transl Res. 213:68–89. 2019. View Article : Google Scholar | |
Siegel RL, Miller KD and Jemal A: Cancer statistics, 2016. CA Cancer J Clin. 66:7–30. 2016. View Article : Google Scholar : PubMed/NCBI | |
Park J, Choi Y, Namkung J, Yi SG, Kim H, Yu J, Kim Y, Kwon MS, Kwon W, Oh DY, et al: Diagnostic performance enhancement of pancreatic cancer using proteomic multimarker panel. Oncotarget. 8:93117–93130. 2017. View Article : Google Scholar : PubMed/NCBI | |
Akamatsu M, Makino N, Ikeda Y, Matsuda A, Ito M, Kakizaki Y, Saito Y, Ishizawa T, Kobayashi T, Furukawa T and Ueno Y: Specific MAPK-Associated MicroRNAs in serum differentiate pancreatic cancer from autoimmune pancreatitis. PLoS One. 11:e01586692016. View Article : Google Scholar : PubMed/NCBI | |
Yu H, Li B, Li T, Zhang S and Lin X: Combination of noninvasive methods in diagnosis of infertile women with minimal or mild endometriosis, a retrospective study in China. Medicine (Baltimore). 98:e166952019. View Article : Google Scholar : PubMed/NCBI | |
Zheng H and Bai L: Hypoxia induced microRNA-301b-3p overexpression promotes proliferation, migration and invasion of prostate cancer cells by targeting LRP1B. Exp Mol Pathol. 20:1043012019. View Article : Google Scholar | |
Fadaka AO, Pretorius A and Klein A: Biomarkers for Stratification in Colorectal Cancer: MicroRNAs. Cancer Control. 26:10732748198627842019. View Article : Google Scholar : PubMed/NCBI | |
Takagawa Y, Gen Y, Muramatsu T, Tanimoto K, Inoue J, Harada H and Inazawa J: miR-1293, a Candidate for miRNA-based cancer therapeutics, simultaneously targets BRD4 and the DNA repair pathway. Mol Ther. 11:pii: S1525-0016. 30182–30189. 2020. | |
Örs Kumoğlu G, Döşkaya M and Gulce Iz S: The biomarker features of miR-145-3p determined via meta-analysis validated by qRT-PCR in metastatic cancer cell lines. Gene. 710:341–353. 2019. View Article : Google Scholar : PubMed/NCBI | |
Li Z, Meng Q, Pan A, Wu X, Cui J, Wang Y and Li L: MicroRNA-455-3p promotes invasion and migration in triple negative breast cancer by targeting tumor suppressor EI24. Oncotarget. 8:19455–19466. 2017. View Article : Google Scholar : PubMed/NCBI | |
Bai X, Lu D, Lin Y, Lv Y and He L: A seven-miRNA expression-based prognostic signature and its corresponding potential competing endogenous RNA network in early pancreatic cancer. Exp Ther Med. 18:1601–1608. 2019.PubMed/NCBI | |
Kooshkaki O, Rezaei Z, Rahmati M, Vahedi P, Derakhshani A, Brunetti O, Baghbanzadeh A, Mansoori B, Silvestris N and Baradaran B: MiR-144: A new possible therapeutic target and diagnostic/prognostic tool in cancers. Int J Mol Sci. 21(pii): E25782020. View Article : Google Scholar : PubMed/NCBI | |
Aggarwal V, Priyanka K and Tuli HS: Emergence of circulating MicroRNAs in breast cancer as diagnostic and therapeutic efficacy biomarkers. Mol Diagn Ther. 24:153–173. 2020. View Article : Google Scholar : PubMed/NCBI | |
Valadi H, Ekström K, Bossios A, Sjöstrand M, Lee JJ and Lötvall JO: Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells. Nat Cell Biol. 9:654–659. 2007. View Article : Google Scholar : PubMed/NCBI | |
Tang Y, Zhao Y, Song X, Song X, Niu L and Xie L: Tumor-derived exosomal miRNA-320d as a biomarker for metastatic colorectal cancer. J Clin Lab Anal. 16:e230042019. | |
Munson PB, Hall EM, Farina NH, Pass HI and Shukla A: Exosomal miR-16-5p as a target for malignant mesothelioma. Sci Rep. 9:116882019. View Article : Google Scholar : PubMed/NCBI | |
Sun Z, Shi K, Yang S, Liu J, Zhou Q, Wang G, Song J, Li Z, Zhang Z and Yuan W: Effect of exosomal miRNA on cancer biology and clinical applications. Mol Cancer. 17:1472018. View Article : Google Scholar : PubMed/NCBI | |
Wu H, Chen X, Ji J, Zhou R, Liu J, Ni W, Qu L, Ni H, Ni R, Bao B and Xiao M: Progress of exosomes in the diagnosis and treatment of pancreatic cancer. Genet Test Mol Biomarkers. 23:215–222. 2019. View Article : Google Scholar : PubMed/NCBI | |
Bortoluzzi S, Lovisa F, Gaffo E and Mussolin L: Small RNAs in circulating exosomes of cancer patients: A minireview. High Throughput. 6(pii): E132017. View Article : Google Scholar : PubMed/NCBI | |
Fanale D, Taverna S, Russo A and Bazan V: Circular RNA in exosomes. Adv Exp Med Biol. 1087:109–117. 2018. View Article : Google Scholar : PubMed/NCBI | |
Jayaseelan VP: Emerging role of exosomes as promising diagnostic tool for cancer. Cancer Gene Ther. Sep 3–2019.(Epub ahead of print). View Article : Google Scholar : PubMed/NCBI | |
Wang W, Yin Y, Shan X, Zhou X, Liu P, Cao Q, Zhu D, Zhang J and Zhu W: The value of plasma-based MicroRNAs as diagnostic biomarkers for ovarian cancer. Am J Med Sci. 358:256–267. 2019. View Article : Google Scholar : PubMed/NCBI | |
He D, Wang H, Ho SL, Chan HN, Hai L, He X, Wang K and Li HW: Total internal reflection-based single-vesicle in situ quantitative and stoichiometric analysis of tumor-derived exosomal microRNAs for diagnosis and treatment monitoring. Theranostics. 9:4494–4507. 2019. View Article : Google Scholar : PubMed/NCBI | |
Bai H, Lei K, Huang F, Jiang Z and Zhou X: Exo-circRNAs: A new paradigm for anticancer therapy. Mol Cancer. 18:562019. View Article : Google Scholar : PubMed/NCBI | |
Yi M, Xu L, Jiao Y, Luo S, Li A and Wu K: The role of cancer-derived microRNAs in cancer immune escape. J Hematol Oncol. 13:252020. View Article : Google Scholar : PubMed/NCBI | |
Nguyen HV, Gore J, Zhong X, Savant SS, Deitz-McElyea S, Schmidt CM, House MG and Korc M: MicroRNA expression in a readily accessible common hepatic artery lymph node predicts time to pancreatic cancer recurrence postresection. J Gastrointest Surg. 20:1699–706. 2016. View Article : Google Scholar : PubMed/NCBI | |
Xie Y, Hang Y, Wang Y, Sleightholm R, Prajapati DR, Bader J, Yu A, Tang W, Jaramillo L, Li J, et al: Stromal modulation and treatment of metastatic pancreatic cancer with local intraperitoneal triple miRNA/siRNA nanotherapy. ACS Nano. 14:255–271. 2020. View Article : Google Scholar : PubMed/NCBI | |
Yang Z, LaRiviere MJ, Ko J, Till JE, Christensen T, Yee SS, Black TA, Tien K, Lin A, Shen H, et al: A multi-analyte panel consisting of extracellular vesicle miRNAs and mRNAs, cfDNA, and CA19-9 shows utility for diagnosis and staging of pancreatic adenocarcinoma. Clin Cancer Res. 16:pii: clincanres. 3313:20192020. | |
Yoshizawa N, Sugimoto K, Tameda M, Inagaki Y, Ikejiri M, Inoue H, Usui M, Ito M and Takei Y: miR-3940-5p/miR-8069 ratio in urine exosomes is a novel diagnostic biomarker for pancreatic ductal adenocarcinoma. Oncol Lett. 19:2677–2684. 2020.PubMed/NCBI | |
Ko J, Bhagwat N, Black T, Yee SS, Na YJ, Fisher S, Kim J, Carpenter EL, Stanger BZ and Issadore D: miRNA profiling of magnetic nanopore-isolated extracellular vesicles for the diagnosis of pancreatic cancer. Cancer Res. 78:3688–3697. 2018.PubMed/NCBI | |
Matsuda Y, Fujii Y, Matsukawa M, Ishiwata T, Nishimura M and Arai T: Overexpression of carbohydrate sulfotransferase 15 in pancreatic cancer stroma is associated with worse prognosis. Oncol Lett. 18:4100–4105. 2019.PubMed/NCBI | |
Luo G, Javed A, Strosberg JR, Jin K, Zhang Y, Liu C, Xu J, Soares K, Weiss MJ, Zheng L, et al: Modified staging classification for pancreatic neuroendocrine tumors on the basis of the American joint committee on cancer and european neuroendocrine tumor society systems. J Clin Oncol. 35:274–280. 2017. View Article : Google Scholar : PubMed/NCBI | |
Lee YR, Kim G, Tak WY, Jang SY, Kweon YO, Park JG, Lee HW, Han YS, Chun JM, Park SY and Hur K: Circulating exosomal noncoding RNAs as prognostic biomarkers in humanhepatocellular carcinoma. Int J Cancer. 144:1444–1452. 2019. View Article : Google Scholar : PubMed/NCBI | |
Shi M, Jiang Y, Yang L, Yan S, Wang YG and Lu XJ: Decreased levels of serum exosomal miR-638 predict poor prognosis in hepatocellular carcinoma. J Cell Biochem. 119:4711–4716. 2018. View Article : Google Scholar : PubMed/NCBI | |
Suehiro T, Miyaaki H, Kanda Y, Shibata H, Honda T, Ozawa E, Miuma S, Taura N and Nakao K: Serum exosomal microRNA-122 and microRNA-21 as predictive biomarkers in transarterial chemoembolization-treated hepatocellular carcinoma patients. Oncol Lett. 16:3267–3273. 2018.PubMed/NCBI | |
Shiotsu H, Okada K, Shibuta T, Kobayashi Y, Shirahama S, Kuroki C, Ueda S, Ohkuma M, Ikeda K, Ando Y, et al: The influence of pre-analytical factors on the analysis of circulating MicroRNA. Microrna. 7:195–203. 2018. View Article : Google Scholar : PubMed/NCBI | |
Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods. 25:402–408. 2001. View Article : Google Scholar : PubMed/NCBI | |
Silverman JM and Reiner NE: Exosomes and other microvesicles in infection biology: Organelles with unanticipated phenotypes. Cell Microbiol. 13:1–9. 2011. View Article : Google Scholar : PubMed/NCBI | |
Rahbarghazi R, Jabbari N, Sani NA, Asghari R, Salimi L, Kalashani SA, Feghhi M, Etemadi T, Akbariazar E, Mahmoudi M and Rezaie J: Tumor-derived extracellular vesicles: Reliable tools for Cancer diagnosis and clinical applications. Cell Commun Signal. 17:732019. View Article : Google Scholar : PubMed/NCBI | |
Salehi M and Sharifi M: Exosomal miRNAs as novel cancer biomarkers: Challenges and opportunities. J Cell Physiol. 233:6370–6380. 2018. View Article : Google Scholar : PubMed/NCBI | |
Wang M, Yu F, Ding H, Wang Y, Li P and Wang K: Emerging function and clinical values of exosomal MicroRNAs in cancer. Mol Ther Nucleic Acids. 16:791–804. 2019. View Article : Google Scholar : PubMed/NCBI | |
Capula M, Mantini G, Funel N and Giovannetti E: New avenues in pancreatic cancer: Exploiting microRNAs as predictive biomarkers and new approaches to target aberrant metabolism. Expert Rev Clin Pharmacol. 12:1081–1090. 2019. View Article : Google Scholar : PubMed/NCBI | |
Taylor DD and Gercel-Taylor C: MicroRNA signatures of tumor-derived exosomes as diagnostic biomarkers of ovarian cancer. Gynecol Oncol. 110:13–21. 2008. View Article : Google Scholar : PubMed/NCBI | |
Rabinowits G, Gerçel-Taylor C, Day JM, Taylor DD and Kloecker GH: Exosomal microRNA: A diagnostic marker for lung cancer. Clin Lung Cancer. 10:42–46. 2009. View Article : Google Scholar : PubMed/NCBI | |
Sohn W, Kim J, Kang SH, Yang SR, Cho JY, Cho HC, Shim SG and Paik YH: Serum exosomal microRNAs as novel biomarkers for hepatocellular carcinoma. Exp Mol Med. 47:e1842015. View Article : Google Scholar : PubMed/NCBI | |
Valadi H, Ekström K, Bossios A, Sjöstrand M, Lee JJ and Lötvall JO: Exosome mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells. Nat Cell Biol. 9:654–659. 2007. View Article : Google Scholar : PubMed/NCBI | |
de Carvalho IN, de Freitas RM and Vargas FR: Translating microRNAs into biomarkers: What is new for pediatric cancer? Med Oncol. 33:492016. View Article : Google Scholar : PubMed/NCBI | |
Su J, Wu F, Xia H, Wu Y and Liu S: Accurate cancer cell identification and microRNA silencing induced therapy using tailored DNA tetrahedron nanostructures. Chem Sci. 11:80–86. 2019. View Article : Google Scholar : PubMed/NCBI | |
Luo D, Huang Z, Lv H, Wang Y, Sun W and Sun X: Up-regulation of MicroRNA-21 indicates poor prognosis and promotes cell proliferation in esophageal squamous cell carcinoma via upregulation of lncRNA SNHG1. Cancer Manag Res. 12:1–14. 2020. View Article : Google Scholar : PubMed/NCBI | |
Goto T, Fujiya M, Konishi H, Sasajima J, Fujibayashi S, Hayashi A, Utsumi T, Sato H, Iwama T, Ijiri M, et al: An elevated expression of serum exosomal microRNA-191, - 21, −451a of pancreatic neoplasm is considered to be efficient diagnostic marker. BMC Cancer. 18:1162018. View Article : Google Scholar : PubMed/NCBI | |
Feng S, He A, Wang D and Kang B: Diagnostic significance of miR-210 as a potential tumor biomarker of human cancer detection: An updated pooled analysis of 30 articles. Onco Targets Ther. 12:479–493. 2019. View Article : Google Scholar : PubMed/NCBI | |
Hong L, Han Y, Zhang H, Zhao Q and Qiao Y: miR-210: A therapeutic target in cancer. Expert Opin Ther Targets. 17:21–28. 2013. View Article : Google Scholar : PubMed/NCBI | |
Ren CX, Leng RX, Fan YG, Pan HF, Wu CH and Ye DQ: MicroRNA-210 and its theranostic potential. Expert Opin Ther Targets. 20:1325–1338. 2016. View Article : Google Scholar : PubMed/NCBI | |
Bavelloni A, Ramazzotti G, Poli A, Piazzi M, Focaccia E, Blalock W and Faenza I: MiRNA-210: A current overview. Anticancer Res. 37:6511–6521. 2017.PubMed/NCBI | |
Li W, Liu H, Qian W, Cheng L, Yan B, Han L, Xu Q, Ma Q and Ma J: Hyperglycemia aggravates microenvironment hypoxia and promotes the metastatic ability of pancreatic cancer. Comput Struct Biotechnol J. 16:479–487. 2018. View Article : Google Scholar : PubMed/NCBI | |
Chen S, Zhang J, Chen J, Wang Y, Zhou S, Huang L, Bai Y, Peng C, Shen B, Chen H and Tian Y: RER1 enhances carcinogenesis and stemness of pancreatic cancer under hypoxic environment. J Exp Clin Cancer Res. 38:152019. View Article : Google Scholar : PubMed/NCBI | |
Severino V, Dumonceau JM, Delhaye M, Moll S, Annessi-Ramseyer I, Robin X, Frossard JL and Farina A: Extracellular vesicles in bile as markers of malignant biliary stenoses. Gastroenterology. 153:495–504.e8. 2017. View Article : Google Scholar : PubMed/NCBI | |
Wang J, Chen J, Chang P, LeBlanc A, Li D, Abbruzzesse JL, Frazier ML, Killary AM and Sen S: MicroRNAs in plasma of pancreatic ductal adenocarcinoma patients as novel blood-based biomarkers of disease. Cancer Prev Res. 2:807–813. 2009. View Article : Google Scholar | |
Qu K, Zhang X, Lin T, Liu T, Wang Z, Liu S, Zhou L, Wei J, Chang H, Li K, et al: Circulating miRNA-21-5p as a diagnostic biomarker for pancreatic cancer: Evidence from comprehensive miRNA expression profiling analysis and clinical validation. Sci Rep. 7:16922017. View Article : Google Scholar : PubMed/NCBI | |
Kowal J, Arras G, Colombo M, Jouve M, Morath JP, Primdal-Bengtson B, Dingli F, Loew D, Tkach M and Thery C: Proteomic comparison defines novel markers to characterize heterogeneous populations of extracellular vesicle subtypes. Proc Natl Acad Sci USA. 113:E968–E977. 2016. View Article : Google Scholar : PubMed/NCBI | |
Hu Q, Su H, Li J, Lyon C, Tang W, Wan M and Hu TY: Clinical applications of exosome membrane proteins. Precis Clin Med. 3:54–66. 2020. View Article : Google Scholar : PubMed/NCBI | |
Makler A and Asghar W: Exosomal biomarkers for cancer diagnosis and patient monitoring. Expert Rev Mol Diagn. 20:387–400. 2020. View Article : Google Scholar : PubMed/NCBI |