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The diagnostic and prognostic value of exosomal microRNAs in lung cancer: a systematic review

  • RESEARCH ARTICLE
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Abstract

Background

Studies have shown that many exosomal microRNAs (miRNAs) can be used as non-invasive biomarkers of lung cancer, but their diagnostic and prognostic values need to be further clarified.

Methods

We conducted a systematic literature search in Web of Science, PubMed, and ScienceDirect databases, obtained relevant articles and extracted data, and used statistical methods and statistical software to comprehensively evaluate the diagnostic and prognostic value of exosomal miRNAs in lung cancer. Registration number: PROSPERO CRD42023447398.

Results

In terms of diagnosis, two exosomal miRNAs (miR-486-5p and miR-451a) were reported with the highest frequency in lung cancer patients, both of which had good diagnostic value. Compared with the control group, the pooled sensitivities of miR-486-5p and miR-451a were 0.80 (95% CI: 0.73–0.86) and 0.76 (95% CI: 0.60–0.87), specificities: 0.93 (95% CI: 0.63–0.99) and 0.85 (95% CI: 0.72–0.92), and AUCs: 0.85 (95% CI: 0.81–0.88) and 0.88 (95% CI: 0.84–0.90), for the respective miRNAs. For prognosis, in lung cancer patients with abnormally expressed exosomal miRNAs, miR-1290 was associated with PFS outcome; miR-382, miR-1246, miR-23b-3p, miR-21-5p, and miR-10b-5p were associated with OS outcome; miR-21 and miR-4257 were associated with DFS outcome; miR-125a-3p and miR-625-5p were associated with PFS and OS outcomes; miR-216b and miR-451a were associated with OS and DFS outcomes.

Conclusions

Exosomal miRNAs are valuable biomarkers in lung cancer patients. Exosomal miR-486-5p and miR-451a can be used as new diagnostic biomarkers for lung cancer. Dysregulated exosomal miRNAs could serve as indicators of survival outcomes in lung cancer patients.

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Data availability

All data generated or analyzed during this study are included in this published article and its supplementary information files.

References

  1. Molina JR, Yang P, Cassivi SD, Schild SE, Adjei AA. Non-small cell lung cancer: epidemiology, risk factors, treatment, and survivorship. Mayo Clin Proc. 2008;83:584–94. https://doi.org/10.4065/83.5.584.

    Article  PubMed  Google Scholar 

  2. Sher T, Dy GK, Adjei AA. Small cell lung cancer. Mayo Clin Proc. 2008;83:355–67. https://doi.org/10.4065/83.3.355.

    Article  CAS  PubMed  Google Scholar 

  3. Duma N, Santana-Davila R, Molina JR. Non-Small Cell Lung Cancer: Epidemiology, Screening, Diagnosis, and Treatment. Mayo Clin Proc. 2019;94:1623–40. https://doi.org/10.1016/j.mayocp.2019.01.013.

    Article  CAS  PubMed  Google Scholar 

  4. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71:209–49. https://doi.org/10.3322/caac.21660.

    Article  PubMed  Google Scholar 

  5. Reck M, Popat S, Reinmuth N, De Ruysscher D, Kerr KM, Peters S, et al. Metastatic non-small-cell lung cancer (NSCLC): ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2014;25:27–39. https://doi.org/10.1093/annonc/mdu199.

    Article  Google Scholar 

  6. Postmus PE, Kerr KM, Oudkerk M, Senan S, Waller DA, Vansteenkiste J, et al. Early and locally advanced non-small-cell lung cancer (NSCLC): ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2017;28:1–21. https://doi.org/10.1093/annonc/mdx222.

    Article  Google Scholar 

  7. Byers LA, Rudin CM. Small cell lung cancer: where do we go from here? Cancer. 2015;121:664–72. https://doi.org/10.1002/cncr.29098.

    Article  CAS  PubMed  Google Scholar 

  8. Hirsch FR, Scagliotti GV, Mulshine JL, Kwon R, Curran WJ Jr, Wu YL, et al. Lung cancer: current therapies and new targeted treatments. Lancet. 2017;389:299–311. https://doi.org/10.1016/s0140-6736(16)30958-8.

    Article  CAS  PubMed  Google Scholar 

  9. Miller KD, Nogueira L, Mariotto AB, Rowland JH, Yabroff KR, Alfano CM, et al. Cancer treatment and survivorship statistics, 2019. CA Cancer J Clin. 2019;69:363–85. https://doi.org/10.3322/caac.21565.

    Article  PubMed  Google Scholar 

  10. Rijavec E, Coco S, Genova C, Rossi G, Longo L, Grossi F. Liquid biopsy in non-small cell lung cancer: highlights and challenges. Cancers (Basel). 2019;12. https://doi.org/10.3390/cancers12010017.

  11. van Niel G, D’Angelo G, Raposo G. Shedding light on the cell biology of extracellular vesicles. Nat Rev Mol Cell Biol. 2018;19:213–28. https://doi.org/10.1038/nrm.2017.125.

    Article  CAS  PubMed  Google Scholar 

  12. Casagrande GMS, Silva MO, Reis RM, Leal LF. Liquid biopsy for lung cancer: up-to-date and perspectives for screening programs. Int J Mol Sci. 2023;24. https://doi.org/10.3390/ijms24032505.

  13. Li MY, Liu LZ, Dong M. Progress on pivotal role and application of exosome in lung cancer carcinogenesis, diagnosis, therapy and prognosis. Mol Cancer. 2021;20:22. https://doi.org/10.1186/s12943-021-01312-y.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Whiteside TL. The potential of tumor-derived exosomes for noninvasive cancer monitoring. Expert Rev Mol Diagn. 2015;15:1293–310. https://doi.org/10.1586/14737159.2015.1071666.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. O’Brien J, Hayder H, Zayed Y, Peng C. Overview of MicroRNA Biogenesis, Mechanisms of Actions, and Circulation. Front Endocrinol (Lausanne). 2018;9:402. https://doi.org/10.3389/fendo.2018.00402.

    Article  PubMed  Google Scholar 

  16. van Zandwijk N, Pavlakis N, Kao SC, Linton A, Boyer MJ, Clarke S, et al. Safety and activity of microRNA-loaded minicells in patients with recurrent malignant pleural mesothelioma: a first-in-man, phase 1, open-label, dose-escalation study. Lancet Oncol. 2017;18:1386–96. https://doi.org/10.1016/s1470-2045(17)30621-6.

    Article  CAS  PubMed  Google Scholar 

  17. Zhang Y, Zhang Y, Yin Y, Li S. Detection of circulating exosomal miR-17-5p serves as a novel non-invasive diagnostic marker for non-small cell lung cancer patients. Pathol Res Pract. 2019;215: 152466. https://doi.org/10.1016/j.prp.2019.152466.

    Article  CAS  PubMed  Google Scholar 

  18. Zheng Q, Ding H, Wang L, Yan Y, Wan Y, Yi Y, et al. Circulating Exosomal miR-96 as a Novel Biomarker for Radioresistant Non-Small-Cell Lung Cancer. J Oncol. 2021;2021:5893981. https://doi.org/10.1155/2021/5893981.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Tamiya H, Mitani A, Saito A, Ishimori T, Saito M, Isago H, et al. Exosomal MicroRNA Expression Profiling in Patients with Lung Adenocarcinoma-associated Malignant Pleural Effusion. Anticancer Res. 2018;38:6707–14. https://doi.org/10.21873/anticanres.13039.

  20. Wu Y, Wei J, Zhang W, Xie M, Wang X, Xu J. Serum Exosomal miR-1290 is a Potential Biomarker for Lung Adenocarcinoma. Onco Targets Ther. 2020;13:7809–18. https://doi.org/10.2147/ott.S263934.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Luo R, Liu H, Chen J. Reduced circulating exosomal miR-382 predicts unfavorable outcome in non-small cell lung cancer. Int J Clin Exp Pathol. 2021;14:469–74.

    CAS  PubMed  PubMed Central  Google Scholar 

  22. Huang D, Qu D. Early diagnostic and prognostic value of serum exosomal miR-1246 in non-small cell lung cancer. Int J Clin Exp Pathol. 2020;13:1601–7.

    ADS  PubMed  PubMed Central  Google Scholar 

  23. Kanaoka R, Iinuma H, Dejima H, Sakai T, Uehara H, Matsutani N, et al. Usefulness of PLASMA EXOSOMAL MicroRNA-451a as a noninvasive biomarker for early prediction of recurrence and prognosis of non-small cell lung cancer. Oncology. 2018;94:311–23. https://doi.org/10.1159/000487006.

    Article  CAS  PubMed  Google Scholar 

  24. Wang X, Jiang X, Li J, Wang J, Binang H, Shi S, et al. Serum exosomal miR-1269a serves as a diagnostic marker and plays an oncogenic role in non-small cell lung cancer. Thorac Cancer. 2020;11:3436–47. https://doi.org/10.1111/1759-7714.13644.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Liu W, Liu J, Zhang Q, Wei L. Downregulation of serum exosomal miR-216b predicts unfavorable prognosis in patients with non-small cell lung cancer. Cancer Biomark. 2020;27:113–20. https://doi.org/10.3233/cbm-190914.

    Article  PubMed  Google Scholar 

  26. Kryczka J, Migdalska-Sęk M, Kordiak J, Kiszałkiewicz J M, Pastuszak-Lewandoska D, Antczak A, et al. Serum extracellular vesicle-derived mirnas in patients with non-small cell lung cancer-search for non-invasive diagnostic biomarkers. Diagnostics (Basel). 2021;11. https://doi.org/10.3390/diagnostics11030425.

  27. Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011;155:529–36. https://doi.org/10.7326/0003-4819-155-8-201110180-00009.

    Article  PubMed  Google Scholar 

  28. Lo CK, Mertz D, Loeb M. Newcastle-Ottawa Scale: comparing reviewers’ to authors’ assessments. BMC Med Res Methodol. 2014;14:45. https://doi.org/10.1186/1471-2288-14-45.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Chen X, Yu L, Hao K, Yin X, Tu M, Cai L, et al. Fucosylated exosomal miRNAs as promising biomarkers for the diagnosis of early lung adenocarcinoma. Frontiers in Oncology. 2022;12. https://doi.org/10.3389/fonc.2022.935184.

  30. Yao B, Qu S, Hu R, Gao W, Jin S, Liu M, et al. A panel of miRNAs derived from plasma extracellular vesicles as novel diagnostic biomarkers of lung adenocarcinoma. FEBS Open Bio. 2019;9:2149–58. https://doi.org/10.1002/2211-5463.12753.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557–60. https://doi.org/10.1136/bmj.327.7414.557.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Moses LE, Shapiro D, Littenberg B. Combining independent studies of a diagnostic test into a summary ROC curve: data-analytic approaches and some additional considerations. Stat Med. 1993;12:1293–316. https://doi.org/10.1002/sim.4780121403.

    Article  CAS  PubMed  Google Scholar 

  33. Deeks JJ, Macaskill P, Irwig L. The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. J Clin Epidemiol. 2005;58:882–93. https://doi.org/10.1016/j.jclinepi.2005.01.016.

    Article  PubMed  Google Scholar 

  34. Xia Y, Wei K, Hu LQ, Zhou CR, Lu ZB, Zhan GS, et al. Exosome-mediated transfer of miR-1260b promotes cell invasion through Wnt/β-catenin signaling pathway in lung adenocarcinoma. J Cell Physiol. 2020;235:6843–53. https://doi.org/10.1002/jcp.29578.

    Article  CAS  PubMed  Google Scholar 

  35. Zhong Y, Ding X, Bian Y, Wang J, Zhou W, Wang X, et al. Discovery and validation of extracellular vesicle-associated miRNAs as noninvasive detection biomarkers for early-stage non-small-cell lung cancer. Mol Oncol. 2021;15:2439–52. https://doi.org/10.1002/1878-0261.12889.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Zhang Z-J, Song X-G, Xie L, Wang K-Y, Tang Y-Y, Miao Y, et al. Circulating serum exosomal miR-20b-5p and miR-3187-5p as efficient diagnostic biomarkers for early-stage non-small cell lung cancer. Exp Biol Med. 2020;245:1428–36. https://doi.org/10.1177/1535370220945987.

    Article  CAS  Google Scholar 

  37. Wang M-C, Gong G-Y, Wang C-L, Ko H-W, Weng R-X, Chang P-Y, et al. Methods for collection of extracellular vesicles and their content RNA as liquid biopsy for lung cancer detection: application of differential centrifugation and Annexin A5 coated beads. Curr Issues Mol Biol. 2022;44:2374–86. https://doi.org/10.3390/cimb44050162.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Visan KS, Lobb RJ, Wen SW, Bedo J, Lima LG, Krumeich S, et al. Blood-derived extracellular vesicle-associated miR-3182 detects non-small cell lung cancer patients. Cancers. 2022;14. https://doi.org/10.3390/cancers14010257.

  39. Roman-Canal B, Pablo Moiola C, Gatius S, Bonnin S, Ruiz-Miro M, Gonzalez E, et al. EV-associated miRNAs from pleural lavage as potential diagnostic biomarkers in lung cancer. Sci Rep. 2019;9. https://doi.org/10.1038/s41598-019-51578-y.

  40. Jiang Y-F, Wei S-N, Geng N, Qin W-W, He X, Wang X-H, et al. Evaluation of circulating small extracellular vesicle-derived miRNAs as diagnostic biomarkers for differentiating between different pathological types of early lung cancer. Sci Rep. 2022;12. https://doi.org/10.1038/s41598-022-22194-0.

  41. Zhou Y, Wang G, Cai J, Du Y, Li H, Duan L, et al. Exosomal transfer of miR-195-5p restrains lung adenocarcinoma progression. Exp Cell Res. 2023;424: 113485. https://doi.org/10.1016/j.yexcr.2023.113485.

    Article  CAS  PubMed  Google Scholar 

  42. Zhang Z, Tang Y, Song X, Xie L, Zhao S, Song X. Tumor-Derived exosomal miRNAs as diagnostic biomarkers in non-small cell lung cancer. Front Oncol. 2020;10:560025. https://doi.org/10.3389/fonc.2020.560025.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Zhang Y, Xu H. Serum exosomal miR-378 upregulation is associated with poor prognosis in non-small-cell lung cancer patients. J Clin Lab Anal. 2020;34:e23237. https://doi.org/10.1002/jcla.23237.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Yuan G, Xie H, Wei T, Zhu D, Zhang C, Yang Y. Diagnostic potential of extracellular vesicle-associated microRNA-10b and tumor markers for lung adenocarcinoma. Oncol Lett. 2021;22:614. https://doi.org/10.3892/ol.2021.12875.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Yang G, Wang T, Qu X, Chen S, Han Z, Chen S, et al. Exosomal miR-21/Let-7a ratio distinguishes non-small cell lung cancer from benign pulmonary diseases. Asia Pac J Clin Oncol. 2020;16:280–6. https://doi.org/10.1111/ajco.13343.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Wu Q, Yu L, Lin X, Zheng Q, Zhang S, Chen D, et al. Combination of serum miRNAs with serum exosomal miRNAs in early diagnosis for non-small-cell lung cancer. Cancer Manag Res. 2020;12:485–95. https://doi.org/10.2147/cmar.S232383.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Wang N, Guo W, Song X, Liu L, Niu L, Song X, et al. Tumor-associated exosomal miRNA biomarkers to differentiate metastatic vs. nonmetastatic non-small cell lung cancer. Clin Chem Lab Med. 2020;58:1535–45. https://doi.org/10.1515/cclm-2019-1329.

  48. Wang J, Xue H, Zhu Z, Gao J, Zhao M, Ma Z. Expression of serum exosomal miR-23b-3p in non-small cell lung cancer and its diagnostic efficacy. Oncol Lett. 2020;20:30. https://doi.org/10.3892/ol.2020.11891.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Tang Y, Zhang Z, Song X, Yu M, Niu L, Zhao Y, et al. Tumor-derived exosomal miR-620 as a diagnostic biomarker in non-small-cell lung cancer. J Oncol. 2020;2020:6691211. https://doi.org/10.1155/2020/6691211.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Poroyko V, Mirzapoiazova T, Nam A, Mambetsariev I, Mambetsariev B, Wu X, et al. Exosomal miRNAs species in the blood of small cell and non-small cell lung cancer patients. Oncotarget. 2018;9:19793–806. https://doi.org/10.18632/oncotarget.24857.

  51. Pantano F, Zalfa F, Iuliani M, Simonetti S, Manca P, Napolitano A, et al. Large-scale profiling of extracellular vesicles identified miR-625–5p as a novel biomarker of immunotherapy response in advanced non-small-cell lung cancer patients. Cancers (Basel). 2022;14. https://doi.org/10.3390/cancers14102435.

  52. O’Farrell HE, Bowman RV, Fong KM, Yang IA. Plasma extracellular vesicle miRNAs can identify lung cancer, current smoking status, and stable COPD. Int J Mol Sci. 2021;22. https://doi.org/10.3390/ijms22115803.

  53. Liu Q, Yu Z, Yuan S, Xie W, Li C, Hu Z, et al. Circulating exosomal microRNAs as prognostic biomarkers for non-small-cell lung cancer. Oncotarget. 2017;8: 13048–58. https://doi.org/10.18632/oncotarget.14369.

  54. Liu C, Kannisto E, Yu G, Yang Y, Reid ME, Patnaik SK, et al. Non-invasive detection of exosomal MicroRNAs via Tethered cationic lipoplex nanoparticles (tCLN) biochip for lung cancer early detection. Front Genet. 2020;11:258. https://doi.org/10.3389/fgene.2020.00258.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Li S, Lin Y, Wu Y, Chen H, Huang Z, Lin M, et al. The value of serum exosomal miR-184 in the diagnosis of NSCLC. J Healthc Eng. 2022;2022:9713218. https://doi.org/10.1155/2022/9713218.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Li M, Liu T, Cheng W, Jin H, Wang X. A test of miR-128–3p and miR-33a-5p in serum exosome as biomarkers for auxiliary diagnosis of non-small cell lung cancer. J Thorac Dis. 2023;15:2616–26. https://doi.org/10.21037/jtd-23-398.

  57. Hydbring P, De Petris L, Zhang Y, Brandén E, Koyi H, Novak M, et al. Exosomal RNA-profiling of pleural effusions identifies adenocarcinoma patients through elevated miR-200 and LCN2 expression. Lung Cancer. 2018;124:45–52. https://doi.org/10.1016/j.lungcan.2018.07.018.

    Article  PubMed  Google Scholar 

  58. Hisakane K, Seike M, Sugano T, Matsuda K, Kashiwada T, Nakamichi S, et al. Serum-derived exosomal miR-125a-3p predicts the response to anti-programmed cell death-1/programmed cell death-ligand 1 monotherapy in patients with non-small cell lung cancer. Gene. 2023;857:147177. https://doi.org/10.1016/j.gene.2023.147177.

    Article  CAS  PubMed  Google Scholar 

  59. Han Z, Li Y, Zhang J, Guo C, Li Q, Zhang X, et al. Tumor-derived circulating exosomal miR-342-5p and miR-574-5p as promising diagnostic biomarkers for early-stage Lung Adenocarcinoma. Int J Med Sci. 2020;17:1428–38. https://doi.org/10.7150/ijms.43500.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Grimolizzi F, Monaco F, Leoni F, Bracci M, Staffolani S, Bersaglieri C, et al. Exosomal miR-126 as a circulating biomarker in non-small-cell lung cancer regulating cancer progression. Sci Rep. 2017;7:15277. https://doi.org/10.1038/s41598-017-15475-6.

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  61. Geng N, Qi Y, Qin W, Li S, Jin H, Jiang Y, et al. Two microRNAs of plasma-derived small extracellular vesicles as biomarkers for metastatic non-small cell lung cancer. BMC Pulm Med. 2023;23:259. https://doi.org/10.1186/s12890-023-02538-w.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Gao S, Guo W, Liu T, Liang N, Ma Q, Gao Y, et al. Plasma extracellular vesicle microRNA profiling and the identification of a diagnostic signature for stage I lung adenocarcinoma. Cancer Sci. 2022;113:648–59. https://doi.org/10.1111/cas.15222.

    Article  CAS  PubMed  Google Scholar 

  63. Feng M, Zhao J, Wang L, Liu J. Upregulated expression of serum exosomal microRNAs as diagnostic biomarkers of lung adenocarcinoma. Ann Clin Lab Sci. 2018;48:712–8.

    CAS  PubMed  Google Scholar 

  64. Feng L, Feng Z, Hu J, Gao J, Li A, He X, et al. Identification of hsa-miR-619-5p and hsa-miR-4454 in plasma-derived exosomes as a potential biomarker for lung adenocarcinoma. Front Genet. 2023;14:1138230. https://doi.org/10.3389/fgene.2023.1138230.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. Fang H, Liu Y, He Y, Jiang Y, Wei Y, Liu H, et al. Extracellular vesicle-delivered miR-505-5p, as a diagnostic biomarker of early lung adenocarcinoma, inhibits cell apoptosis by targeting TP53AIP1. Int J Oncol. 2019;54:1821–32. https://doi.org/10.3892/ijo.2019.4738.

    Article  CAS  PubMed  Google Scholar 

  66. Dejima H, Iinuma H, Kanaoka R, Matsutani N, Kawamura M. Exosomal microRNA in plasma as a non-invasive biomarker for the recurrence of non-small cell lung cancer. Oncol Lett. 2017;13:1256–63. https://doi.org/10.3892/ol.2017.5569.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  67. Chen L, Cao P, Huang C, Wu Q, Chen S, Chen F. Serum exosomal miR-7977 as a novel biomarker for lung adenocarcinoma. J Cell Biochem. 2020;121:3382–91. https://doi.org/10.1002/jcb.29612.

    Article  CAS  PubMed  Google Scholar 

  68. Cao X, Zhong W, Guo S, Zhang Z, Xie C. Low expression of miR-27b in serum exosomes of non-small cell lung cancer facilitates its progression by affecting EGFR. Open Med (Wars). 2022;17:816–25. https://doi.org/10.1515/med-2022-0472.

    Article  CAS  PubMed  Google Scholar 

  69. Li Z, Li LX, Diao YJ, Wang J, Ye Y, Hao XK. Identification of urinary exosomal miRNAs for the non-invasive diagnosis of prostate cancer. Cancer Manag Res. 2021;13:25–35. https://doi.org/10.2147/cmar.S272140.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Yoshida M, Yukawa H, Hayashi K, Naitoh I, Miyabe K, Hori Y, et al. Clinical impact of bile-derived exosomal microRNAs as novel diagnostic and prognostic biomarkers for biliary tract cancers. Cancer Sci. 2023;114:295–305. https://doi.org/10.1111/cas.15597.

    Article  CAS  PubMed  Google Scholar 

  71. Chen J, Yao D, Chen W, Li Z, Guo Y, Zhu F, et al. Serum exosomal miR-451a acts as a candidate marker for pancreatic cancer. Int J Biol Markers. 2022;37:74–80. https://doi.org/10.1177/17246008211070018.

    Article  CAS  PubMed  Google Scholar 

  72. Cao D, Cao X, Jiang Y, Xu J, Zheng Y, Kang D, et al. Circulating exosomal microRNAs as diagnostic and prognostic biomarkers in patients with diffuse large B-cell lymphoma. Hematol Oncol. 2022;40:172–80. https://doi.org/10.1002/hon.2956.

    Article  CAS  PubMed  Google Scholar 

  73. Spizzo R, Nicoloso MS, Croce CM, Calin GA. SnapShot: MicroRNAs in cancer. Cell. 2009;137:586-586.e581. https://doi.org/10.1016/j.cell.2009.04.040.

    Article  CAS  PubMed  Google Scholar 

  74. Gandellini P, Andriani F, Merlino G, D’Aiuto F, Roz L, Callari M. Complexity in the tumour microenvironment: cancer associated fibroblast gene expression patterns identify both common and unique features of tumour-stroma crosstalk across cancer types. Semin Cancer Biol. 2015;35:96–106. https://doi.org/10.1016/j.semcancer.2015.08.008.

    Article  CAS  PubMed  Google Scholar 

  75. Takahasi K, Iinuma H, Wada K, Minezaki S, Kawamura S, Kainuma M, et al. Usefulness of exosome-encapsulated microRNA-451a as a minimally invasive biomarker for prediction of recurrence and prognosis in pancreatic ductal adenocarcinoma. J Hepatobiliary Pancreat Sci. 2018;25:155–61. https://doi.org/10.1002/jhbp.524.

    Article  PubMed  Google Scholar 

  76. Kawamura S, Iinuma H, Wada K, Takahashi K, Minezaki S, Kainuma M, et al. Exosome-encapsulated microRNA-4525, microRNA-451a and microRNA-21 in portal vein blood is a high-sensitive liquid biomarker for the selection of high-risk pancreatic ductal adenocarcinoma patients. J Hepatobiliary Pancreat Sci. 2019;26:63–72. https://doi.org/10.1002/jhbp.601.

    Article  PubMed  Google Scholar 

  77. Hu C, Meiners S, Lukas C, Stathopoulos GT, Chen J. Role of exosomal microRNAs in lung cancer biology and clinical applications. Cell Prolif. 2020;53:e12828. https://doi.org/10.1111/cpr.12828.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  78. Adi Harel S, Bossel Ben-Moshe N, Aylon Y, Bublik DR, Moskovits N, Toperoff G, et al. Reactivation of epigenetically silenced miR-512 and miR-373 sensitizes lung cancer cells to cisplatin and restricts tumor growth. Cell Death Differ. 2015;22:1328–40. https://doi.org/10.1038/cdd.2014.221.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  79. Fabbri M, Paone A, Calore F, Galli R, Gaudio E, Santhanam R, et al. MicroRNAs bind to Toll-like receptors to induce prometastatic inflammatory response. Proc Natl Acad Sci USA. 2012;109:E2110-2116. https://doi.org/10.1073/pnas.1209414109.

    Article  PubMed  PubMed Central  Google Scholar 

  80. Lin XM, Wang ZJ, Lin YX, Chen H. Decreased exosome-delivered miR-486-5p is responsible for the peritoneal metastasis of gastric cancer cells by promoting EMT progress. World J Surg Oncol. 2021;19:312. https://doi.org/10.1186/s12957-021-02381-5.

    Article  PubMed  PubMed Central  Google Scholar 

  81. Sun B, Han Y, Shi M. Stromal-derived miR-486-5p promotes metastasis of non-small-cell lung cancer cells by targeting the CADM1/tight junctions axis in vascular endothelial cells. Cell Biol Int. 2021;45:849–57. https://doi.org/10.1002/cbin.11531.

    Article  CAS  PubMed  Google Scholar 

  82. Liu X, Chen X, Zeng K, Xu M, He B, Pan Y, et al. DNA-methylation-mediated silencing of miR-486-5p promotes colorectal cancer proliferation and migration through activation of PLAGL2/IGF2/β-catenin signal pathways. Cell Death Dis. 2018;9:1037. https://doi.org/10.1038/s41419-018-1105-9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  83. Zhou X, Wen W, Zhu J, Huang Z, Zhang L, Zhang H, et al. A six-microRNA signature in plasma was identified as a potential biomarker in diagnosis of esophageal squamous cell carcinoma. Oncotarget. 2017;8:34468–80. https://doi.org/10.18632/oncotarget.16519.

  84. Liu F, Bu Z, Zhao F, Xiao D. Increased T-helper 17 cell differentiation mediated by exosome-mediated microRNA-451 redistribution in gastric cancer infiltrated T cells. Cancer Sci. 2018;109:65–73. https://doi.org/10.1111/cas.13429.

    Article  CAS  PubMed  Google Scholar 

  85. Yang F, Ning Z, Ma L, Liu W, Shao C, Shu Y, et al. Exosomal miRNAs and miRNA dysregulation in cancer-associated fibroblasts. Mol Cancer. 2017;16:148. https://doi.org/10.1186/s12943-017-0718-4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  86. Zhao S, Li J, Zhang G, Wang Q, Wu C, Zhang Q, et al. Exosomal miR-451a Functions as a Tumor Suppressor in Hepatocellular Carcinoma by Targeting LPIN1. Cell Physiol Biochem. 2019;53:19–35. https://doi.org/10.33594/000000118.

  87. Huang H, Zhu J, Lin Y, Zhang Z, Liu J, Wang C, et al. The potential diagnostic value of extracellular vesicle miRNA for human non-small cell lung cancer: a systematic review and meta-analysis. Expert Rev Mol Diagn. 2021;21:823–36. https://doi.org/10.1080/14737159.2021.1935883.

    Article  CAS  PubMed  Google Scholar 

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Funding

This work was supported by the research project of Jiangsu Health Development Research Center (JSHD2022045) and Jiangsu Provincial Medical Key Discipline Cultivation Unit (JSDW202239).

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Each author has contributed to the relevant work of this study. BY and XX screened the literature, performed quality assessment, extracted and analyzed the data, and drafted the manuscript. XC and LN extracted, analyzed and interpreted the data, and revised the manuscript. BH and ZN designed, supervised the study, and revised the manuscript. All authors read and approved the final version of the manuscript.

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Correspondence to Zhenlin Nie or Bangshun He.

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Yang, B., Xin, X., Cao, X. et al. The diagnostic and prognostic value of exosomal microRNAs in lung cancer: a systematic review. Clin Transl Oncol (2024). https://doi.org/10.1007/s12094-024-03414-7

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