MicroRNAs: circulating biomarkers for the early detection of imperceptible cancers via biosensor and machine-learning advances

Machine Learning


  • Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024. https://doi.org/10.3322/caac.21834.

  • Ahmad AS, Offman J, Delon C, North BV, Shelton J, Sasieni PD. Years of life lost due to cancer in the United Kingdom from 1988 to 2017. Br J Cancer. 2023;129:1558–68. https://doi.org/10.1038/s41416-023-02422-8

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Chari ST. Detecting early pancreatic cancer: problems and prospects. Semin Oncol. 2007;34:284–94. https://doi.org/10.1053/j.seminoncol.2007.05.005

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Zhang L, Sanagapalli S, Stoita A. Challenges in diagnosis of pancreatic cancer. World J Gastroenterol. 2018;24:2047–60. https://doi.org/10.3748/wjg.v24.i19.2047

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Wood DE, Kazerooni EA, Aberle D, Berman A, Brown LM, Eapen GA, et al. NCCN Guidelines® Insights: Lung Cancer Screening, Version 1.2022. J Natl Compr Cancer Netw. 2022;20:754–64. https://doi.org/10.6004/jnccn.2022.0036

    Article 

    Google Scholar 

  • Corner J, Hopkinson J, Roffe L. Experience of health changes and reasons for delay in seeking care: a UK study of the months prior to the diagnosis of lung cancer. Soc Sci Med. 2024;62:1381–91. https://doi.org/10.1016/j.socscimed.2005.08.012

    Article 

    Google Scholar 

  • Sun VC-Y, Sarna L. Symptom management in hepatocellular carcinoma. Clin J Oncol Nurs. 2008;12:759–66. https://doi.org/10.1188/08.cjon.759-766

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Waleleng BJ, Adiwinata R, Wenas NT, Haroen H, Rotty L, Gosal F, et al. Screening of pancreatic cancer: target population, optimal timing and how? Ann Med Surg. 2022;84. https://doi.org/10.1016/j.amsu.2022.104814.

  • Liam C-K, Liam Y-S, Poh M-E, Wong C-K. Accuracy of lung cancer staging in the multidisciplinary team setting. Transl Lung Cancer Res. 2020;9:1654–66. https://doi.org/10.21037/tlcr.2019.11.28

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Huber RM, Cavic M, Kerpel-Fronius A, Viola L, Field J, Jiang L, et al. Lung cancer screening considerations during respiratory infection outbreaks, epidemics or pandemics: an international association for the study of lung cancer early detection and screening committee report. J Thorac Oncol. 2024;17:228–38. https://doi.org/10.1016/j.jtho.2021.11.008

    Article 
    CAS 

    Google Scholar 

  • Choi J-Y, Lee J-M, Sirlin CB. CT and MR imaging diagnosis and staging of hepatocellular carcinoma: Part II. extracellular agents, hepatobiliary agents, and ancillary imaging features. Radiology. 2014;273:30–50. https://doi.org/10.1148/radiol.14132362

    Article 
    PubMed 

    Google Scholar 

  • Di Tommaso L, Spadaccini M, Donadon M, Personeni N, Elamin A, Aghemo A, et al. Role of liver biopsy in hepatocellular carcinoma. World J Gastroenterol. 2019;25:6041–52. https://doi.org/10.3748/wjg.v25.i40.6041

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Walter FM, Penfold C, Joannides A, Saji S, Johnson M, Watts C, et al. Missed opportunities for diagnosing brain tumours in primary care: a qualitative study of patient experiences. Br J Gen Pract. 2024;69:e224–35. https://doi.org/10.3399/bjgp19x701861

    Article 

    Google Scholar 

  • Jozsa F, Gaier C, Ma Y, Kitchen N, McEvoy A, Miserocchi A, et al. Safety and efficacy of brain biopsy: results from a single institution retrospective cohort study. Brain Spine. 2023;3:101763. https://doi.org/10.1016/j.bas.2023.101763

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Ambros V. Control of developmental timing in Caenorhabditis elegans. Curr Opin Genet Dev. 2000;10:428–33. https://doi.org/10.1016/s0959-437x(00)00108-8

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Reinhart BJ, Slack FJ, Basson M, Pasquinelli AE, Bettinger JC, Rougvie AE, et al. The 21-nucleotide let-7 RNA regulates developmental timing in Caenorhabditis elegans. Nature. 2000;403:901–6. https://doi.org/10.1038/35002607

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Calin GA, Ferracin M, Cimmino A, Di Leva G, Shimizu M, Wojcik SE, et al. A MicroRNA signature associated with prognosis and progression in chronic lymphocytic leukemia. N Engl J Med. 2005;353:1793–801. https://doi.org/10.1056/nejmoa050995

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Rodriguez A. Identification of mammalian microRNA host genes and transcription units. Genome Res. 2004;14:1902–10. https://doi.org/10.1101/gr.2722704

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Lee Y, Kim M, Han J, Yeom K-H, Lee S, Baek SH, et al. MicroRNA genes are transcribed by RNA polymerase II. EMBO J. 2024;23:4051–60. https://doi.org/10.1038/sj.emboj.7600385

    Article 
    CAS 

    Google Scholar 

  • Cai X. Human microRNAs are processed from capped, polyadenylated transcripts that can also function as mRNAs. RNA. 2004;10:1957–66. https://doi.org/10.1261/rna.7135204

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Yi R. Exportin-5 mediates the nuclear export of pre-microRNAs and short hairpin RNAs. Genes Dev. 2003;17:3011–6. https://doi.org/10.1101/gad.1158803

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Pratt AJ, MacRae IJ. The RNA-induced silencing complex: a versatile gene-silencing machine. J Biol Chem. 2009;284:17897–901. https://doi.org/10.1074/jbc.r900012200

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Medley JC, Panzade G, Zinovyeva AY. microRNA strand selection: Unwinding the rules. WIREs RNA. 2020. https://doi.org/10.1002/wrna.1627.

  • Bendich A, Wilczok T, Borenfreund E. Circulating DNA as a possible factor in oncogenesis. Science. 1965;148:374–6. https://doi.org/10.1126/science.148.3668.374

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Mandel P, Metais P. Nuclear acids in human blood plasma. C R Seances Soc Biol Fil. 1948;142:241–3.

    CAS 
    PubMed 

    Google Scholar 

  • Hasselmann DO, Rappl G, Rössler M, Ugurel S, Tilgen W, Reinhold U. Detection of tumor-associated circulating mRNA in serum, plasma and blood cells from patients with disseminated malignant melanoma. Oncol Rep. 2001. https://doi.org/10.3892/or.8.1.115.

  • Stroun M, Anker P, Maurice P, Gahan PB. Circulating nucleic acids in higher organisms. Int Rev Cytol. 1977;51:1–48. https://doi.org/10.1016/s0074-7696(08)60225-9

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Kamm RC, Smith AG. Ribonuclease activity in human plasma. Clin Biochem. 1972;5:198–200. https://doi.org/10.1016/S0009-9120(72)80033-X

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Xi Y, Nakajima G, Gavin E, Morris CG, Kudo K, Hayashi K, et al. Systematic analysis of microRNA expression of RNA extracted from fresh frozen and formalin-fixed paraffin-embedded samples. RNA. 2007;13:1668–74. https://doi.org/10.1261/rna.642907

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Chen X, Ba Y, Ma L, Cai X, Yin Y, Wang K, et al. Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases. Cell Res. 2008;18:997–1006. https://doi.org/10.1038/cr.2008.282

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Hu G, Drescher K, Chen X. Exosomal miRNAs: biological properties and therapeutic potential. Front Genet. 2012;3. https://doi.org/10.3389/fgene.2012.00056.

  • Turchinovich A, Weiz L, Burwinkel B. Extracellular miRNAs: the mystery of their origin and function. Trends Biochem Sci. 2012;37:460–5. https://doi.org/10.1016/j.tibs.2012.08.003

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Valadi H, Ekström K, Bossios A, Sjöstrand M, Lee JJ, Lötvall JO. Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells. Nat Cell Biol. 2007;9:654–9. https://doi.org/10.1038/ncb1596

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Li L, Zhu D, Huang L, Zhang J, Bian Z, Chen X, et al. Argonaute 2 complexes selectively protect the circulating microRNAs in cell-secreted microvesicles. PLoS ONE. 2012;7:e46957. https://doi.org/10.1371/journal.pone.0046957

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Elkayam E, Kuhn C-D, Tocilj A, Haase AD, Greene E, Hannon GJ, et al. The structure of human argonaute-2 in complex with miR-20a. Cell. 2012;150:100–10. https://doi.org/10.1016/j.cell.2012.05.017

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Hüttenhofer A, Mayer G. Circulating miRNAs as biomarkers of kidney disease. Clin Kidney J. 2016:sfw075. https://doi.org/10.1093/ckj/sfw075.

  • Chevillet JR, Kang Q, Ruf IK, Briggs HA, Vojtech LN, Hughes SM, et al. Quantitative and stoichiometric analysis of the microRNA content of exosomes. Proc Natl Acad Sci USA. 2014;111:14888–93. https://doi.org/10.1073/pnas.1408301111

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Lawrie CH, Gal S, Dunlop HM, Pushkaran B, Liggins AP, Pulford K, et al. Detection of elevated levels of tumour-associated microRNAs in serum of patients with diffuse large B-cell lymphoma. Br J Haematol. 2008;141:672–5. https://doi.org/10.1111/j.1365-2141.2008.07077.x

    Article 
    PubMed 

    Google Scholar 

  • Lu J, Getz G, Miska EA, Alvarez-Saavedra E, Lamb J, Peck D, et al. MicroRNA expression profiles classify human cancers. Nature. 2005;435:834–8. https://doi.org/10.1038/nature03702

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Shi W, Wartmann T, Accuffi S, Al-Madhi S, Perrakis A, Kahlert C, et al. Integrating a microRNA signature as a liquid biopsy-based tool for the early diagnosis and prediction of potential therapeutic targets in pancreatic cancer. Br J Cancer. 2024;130:125–34. https://doi.org/10.1038/s41416-023-02488-4

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Ciello Adel, Franchi P, Contegiacomo A, Cicchetti G, Bonomo L, Larici AR. Missed lung cancer: when, where, and why? Diagn Interv Radiol. 2017;23:118–26. https://doi.org/10.5152/dir.2016.16187

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Dong X, Chang M, Song X, Ding S, Xie L, Song X. Plasma miR‐1247‐5p, miR‐301b‐3p and miR‐105‐5p as potential biomarkers for early diagnosis of non‐small cell lung cancer. Thorac Cancer. 2020;12:539–48. https://doi.org/10.1111/1759-7714.13800

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Liu H, Ma X, Niu N, Zhao J, Lu C, Yang F, et al. MIR-301b-3p promotes lung adenocarcinoma cell proliferation, migration and invasion by targeting DLC1. Technol Cancer Res Treat. 2021;20:153303382199003. https://doi.org/10.1177/1533033821990036

    Article 
    CAS 

    Google Scholar 

  • Li P, Xing W, Xu J, Yuan D, Liang G, Liu B, et al. microRNA-301b-3p downregulation underlies a novel inhibitory role of long non-coding RNA MBNL1-AS1 in non-small cell lung cancer. Stem Cell Res Ther. 2019;10. https://doi.org/10.1186/s13287-019-1235-8.

  • Arab A, Karimipoor M, Irani S, Kiani A, Zeinali S, Tafsiri E, et al. Potential circulating miRNA signature for early detection of NSCLC. Cancer Genet. 2017;216217:150–8. https://doi.org/10.1016/j.cancergen.2017.07.006

    Article 
    CAS 

    Google Scholar 

  • Amr KS, Elmawgoud Atia HA, Elazeem Elbnhawy RA, Ezzat WM. Early diagnostic evaluation of miR-122 and miR-224 as biomarkers for hepatocellular carcinoma. Genes Dis. 2017;4:215–21. https://doi.org/10.1016/j.gendis.2017.10.003

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Lu M, Kong X, Wang H, Huang G, Ye C, He Z. A novel microRNAs expression signature for hepatocellular carcinoma diagnosis and prognosis. Oncotarget. 2017;8:8775–84. https://doi.org/10.18632/oncotarget.14452

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Shehab-Eldeen S, Nada A, Abou-Elela D, El-Naidany S, Arafat E, Omar T. Diagnostic performance of microRNA-122 and microRNA-224 in Hepatitis C virus-induced hepatocellular carcinoma (HCC). Asian Pac J Cancer Prev. 2019;20:2515–22. https://doi.org/10.31557/apjcp.2019.20.8.2515

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Wei X, Liu H, Li X, Liu X. Overexpression of MiR122 promotes apoptosis of hepatocellular carcinoma via targeting TLR4. Ann Hepatol. 2019;18:869–78. https://doi.org/10.1016/j.aohep.2019.07.005

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Nomair AM, Issa NM, Madkour MA, Shamseya MM. The clinical significance of serum miRNA-224 expression in hepatocellular carcinoma. Clin Exp Hepatol. 2020;6:20–7. https://doi.org/10.5114/ceh.2020.93052

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin. 2020;70:7–30. https://doi.org/10.3322/caac.21590

    Article 
    PubMed 

    Google Scholar 

  • Kopkova A, Sana J, Fadrus P, Machackova T, Vecera M, Vybihal V, et al. MicroRNA isolation and quantification in cerebrospinal fluid: a comparative methodical study. PLoS ONE. 2018;13:e0208580. https://doi.org/10.1371/journal.pone.0208580

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Teplyuk NM, Mollenhauer B, Gabriely G, Giese A, Kim E, Smolsky M, et al. MicroRNAs in cerebrospinal fluid identify glioblastoma and metastatic brain cancers and reflect disease activity. Neuro Oncol. 2012;14:689–700. https://doi.org/10.1093/neuonc/nos074

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Akers JC, Hua W, Li H, Ramakrishnan V, Yang Z, Quan K, et al. A cerebrospinal fluid microRNA signature as biomarker for glioblastoma. Oncotarget. 2017;8:68769–79. https://doi.org/10.18632/oncotarget.18332

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Shalaby T, Fiaschetti G, Baulande S, Gerber N, Baumgartner M, Grotzer M. Detection and quantification of extracellular microRNAs in medulloblastoma. J Cancer Metastasis Treat. 2015;1:67. https://doi.org/10.4103/2394-4722.157068

    Article 
    CAS 

    Google Scholar 

  • Kopkova A, Sana J, Machackova T, Vecera M, Radova L, Trachtova K, et al. Cerebrospinal fluid microRNA signatures as diagnostic biomarkers in brain tumors. Cancers. 2019;11:1546. https://doi.org/10.3390/cancers11101546

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Chen C, Ridzon DA, Broomer AJ, Zhou Z, Lee DH, Nguyen JT, et al. Realtime quantification of microRNAs by stem–loop RT–PCR. Nucleic Acids Res. 2005;33:e179. https://doi.org/10.1093/nar/gni178

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Mestdagh P, Hartmann N, Baeriswyl L, Andreasen D, Bernard N, Chen C, et al. Evaluation of quantitative miRNA expression platforms in the microRNA quality control (miRQC) study. Nat Methods. 2014;11:809–15. https://doi.org/10.1038/nmeth.3014

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Foye C, Yan IK, David W, Shukla N, Habboush Y, Chase L, et al. Comparison of miRNA quantitation by Nanostring in serum and plasma samples. PLoS ONE. 2017;12:e0189165. https://doi.org/10.1371/journal.pone.0189165

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Armstrong DA, Green BB, Seigne JD, Schned AR, Marsit CJ. MicroRNA molecular profiling from matched tumor and bio-fluids in bladder cancer. Mol Cancer. 2015;14. https://doi.org/10.1186/s12943-015-0466-2.

  • Buschmann D, Haberberger A, Kirchner B, Spornraft M, Riedmaier I, Schelling G, et al. Toward reliable biomarker signatures in the age of liquid biopsies – how to standardize the small RNA-Seq workflow. Nucleic Acids Res. 2016;44:5995–6018. https://doi.org/10.1093/nar/gkw545

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Fromm B, Høye E, Domanska D, Zhong X, Aparicio-Puerta E, Ovchinnikov VV, et al. MirGeneDB 2.1: toward a complete sampling of all major animal phyla. Nucleic Acids Res. 2021;50:D204–10. https://doi.org/10.1093/nar/gkab1101

    Article 
    CAS 
    PubMed Central 

    Google Scholar 

  • Fromm B, Zhong X, Tarbier M, Friedlander MR, Hackenberg M. The limits of human microRNA annotation have been met. RNA. 2022;28:rna.079098.122. https://doi.org/10.1261/rna.079098.122

    Article 
    CAS 

    Google Scholar 

  • Khamina K, Diendorfer AB, Skalicky S, Weigl M, Pultar M, Krammer TL, et al. A microRNA next-generation-sequencing discovery assay (miND) for genome-scale analysis and absolute quantitation of circulating microrna biomarkers. Int J Mol Sci. 2022;23:1226. https://doi.org/10.3390/ijms23031226

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Cai S, Pataillot-Meakin T, Shibakawa A, Ren R, Bevan CL, Ladame S, et al. Single-molecule amplification-free multiplexed detection of circulating microRNA cancer biomarkers from serum. Nat Commun. 2021;12. https://doi.org/10.1038/s41467-021-23497-y

  • Ekiz Kanik F, Celebi I, Sevenler D, Tanriverdi K, Lortlar Ünlü N, Freedman JE, et al. Attomolar sensitivity microRNA detection using real-time digital microarrays. Sci Rep. 2022;12. https://doi.org/10.1038/s41598-022-19912-z

  • Sathipati SY, Tsai M, Shukla SK, Ho S-Y. Artificial intelligence-driven pan-cancer analysis reveals miRNA signatures for cancer stage prediction. Hum Genet Genomics Adv. 2023;4:100190. https://doi.org/10.1016/j.xhgg.2023.100190

    Article 
    CAS 

    Google Scholar 

  • Chi H, Chen H, Wang R, Zhang J, Jiang L, Zhang S, et al. Proposing new early detection indicators for pancreatic cancer: Combining machine learning and neural networks for serum miRNA-based diagnostic model. Front Oncol. 2023;13. https://doi.org/10.3389/fonc.2023.1244578

  • Levin Y, Talsania K, Tran B, Shetty J, Zhao Y, Mehta M. Optimization for sequencing and analysis of degraded FFPE-RNA Samples. J Vis Exp. 2020. https://doi.org/10.3791/61060

  • Ottestad AL, Emdal EF, Grønberg BH, Halvorsen TO, Dai HY. Fragmentation assessment of FFPE DNA helps in evaluating NGS library complexity and interpretation of NGS results. Exp Mol Pathol. 2022;126:104771. https://doi.org/10.1016/j.yexmp.2022.104771

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Joshi P, Dhar R. EpICC: a Bayesian neural network model with uncertainty correction for a more accurate classification of cancer. Sci Rep. 2022;12. https://doi.org/10.1038/s41598-022-18874-6

  • Weber JA, Baxter DH, Zhang S, Huang DY, How Huang K, Jen Lee M, et al. The microRNA spectrum in 12 body fluids. Clin Chem. 2010;56:1733–41. https://doi.org/10.1373/clinchem.2010.147405

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Glinge C, Clauss S, Boddum K, Jabbari R, Jabbari J, Risgaard B, et al. Stability of circulating blood-based microRNAs – pre-analytic methodological considerations. PLoS ONE. 2017;12:e0167969. https://doi.org/10.1371/journal.pone.0167969

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Kupec T, Bleilevens A, Iborra S, Najjari L, Wittenborn J, Maurer J, et al. Stability of circulating microRNAs in serum. PLoS ONE. 2022;17:e0268958. https://doi.org/10.1371/journal.pone.0268958

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Matias-Garcia PR, Wilson R, Mussack V, Reischl E, Waldenberger M, Gieger C, et al. Impact of long-term storage and freeze-thawing on eight circulating microRNAs in plasma samples. PLoS ONE. 2020;15:e0227648. https://doi.org/10.1371/journal.pone.0227648

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Chan S-F, He C, Kai-Rui KG, Zou R. Preanalytic methodological considerations and sample quality control of circulating miRNAs. J Mol Diagn. 2023;25:438–53. https://doi.org/10.1016/j.jmoldx.2023.03.005

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • MacLellan SA, MacAulay C, Lam S, Garnis C. Pre-profiling factors influencing serum microRNA levels. BMC Clin Pathol. 2014;14. https://doi.org/10.1186/1472-6890-14-27.

  • Mitchell AJ, Gray WD, Hayek SS, Ko Y-A, Thomas S, Rooney K, et al. Platelets confound the measurement of extracellular miRNA in archived plasma. Sci Rep. 2016;6:32651. https://doi.org/10.1038/srep32651

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Simon LM, Edelstein LC, Nagalla S, Woodley AB, Chen ES, Kong X, et al. Human platelet microRNA-mRNA networks associated with age and gender revealed by integrated plateletomics. Blood. 2014;123:e37–45. https://doi.org/10.1182/blood-2013-12-544692

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Becker KC, Kwee LC, Neely ML, Grass E, Jakubowski JA, Fox KAA, et al. Circulating microRNA profiling in Non-ST elevated coronary artery syndrome highlights genomic associations with serial platelet reactivity measurements. Sci Rep. 2020;10:6169. https://doi.org/10.1038/s41598-020-63263-6

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Dluzen DF, Noren Hooten N, De S, Wood WH, Zhang Y, Becker KG, et al. Extracellular RNA profiles with human age. Aging Cell. 2018;17:e12785. https://doi.org/10.1111/acel.12785

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Meder B, Backes C, Haas J, Leidinger P, Stähler C, Großmann T, et al. Influence of the confounding factors age and sex on microRNA profiles from peripheral blood. Clin Chem. 2014;60:1200–8. https://doi.org/10.1373/clinchem.2014.224238

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Lischka J, Schanzer A, Hojreh A, Ba-Ssalamah A, de Gier C, Valent I, et al. Circulating microRNAs 34a, 122, and 192 are linked to obesity-associated inflammation and metabolic disease in pediatric patients. Int J Obes. 2021;45:1763–72. https://doi.org/10.1038/s41366-021-00842-1

    Article 
    CAS 

    Google Scholar 

  • Kasiappan R, Rajarajan D. Role of MicroRNA regulation in obesity-associated breast cancer: nutritional perspectives. Adv Nutr Int Rev J. 2017;8:868–88. https://doi.org/10.3945/an.117.015800

    Article 
    CAS 

    Google Scholar 

  • Liu R, Chen X, Du Y, Yao W, Shen L, Wang C, et al. Serum microRNA expression profile as a biomarker in the diagnosis and prognosis of pancreatic cancer. Clin Chem. 2012;58:610–8. https://doi.org/10.1373/clinchem.2011.172767

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Nakamura K, Zhu Z, Roy S, Jun E, Han H, Munoz RM, et al. An exosome-based transcriptomic signature for noninvasive, early detection of patients with pancreatic ductal adenocarcinoma: a multicenter cohort study. Gastroenterology. 2022;163:1252–66.e2.

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Makler A, Asghar W. Exosomal miRNA biomarker panel for pancreatic ductal adenocarcinoma detection in patient plasma: a pilot study. Int J Mol Sci. 2023;24. https://doi.org/10.3390/ijms24065081.

  • Hennessey PT, Sanford T, Choudhary A, Mydlarz WW, Brown D, Adai AT, et al. Serum microrna biomarkers for detection of non-small cell lung cancer. PLoS ONE. 2012;7. https://doi.org/10.1371/journal.pone.0032307

  • Sanfiorenzo C, Ilie MI, Belaid A, Barlési F, Mouroux J, Marquette CH, et al. Two panels of plasma microRNAs as non-invasive biomarkers for prediction of recurrence in resectable NSCLC. PLoS ONE. 2013;8. https://doi.org/10.1371/journal.pone.0054596.

  • Liao J, Shen J, Leng Q, Qin M, Zhan M, Jiang F. MicroRNA-based biomarkers for diagnosis of non-small cell lung cancer (NSCLC). Thorac Cancer. 2020;11:762–8. https://doi.org/10.1111/1759-7714.13337

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Fang Y, Yan D, Wang L, Zhang J, He Q. Circulating microRNAs (miR-16, miR-22, miR-122) expression and early diagnosis of hepatocellular carcinoma. J Clin Lab Anal. 2022;36. https://doi.org/10.1002/jcla.24541

  • Tan Y, Ge G, Pan T, Wen D, Chen L, Yu X, et al. A serum microrna panel as potential biomarkers for hepatocellular carcinoma related with hepatitis b virus. PLoS ONE. 2014;9:e66577. https://doi.org/10.1371/journal.pone.0107986

    Article 
    CAS 

    Google Scholar 

  • Cho HJ, Baek GO, Seo CW, Ahn HR, Sung S, Son JA, et al. Exosomal microRNA-4661-5p–based serum panel as a potential diagnostic biomarker for early-stage hepatocellular carcinoma. Cancer Med. 2020;9:5459–72. https://doi.org/10.1002/cam4.3230

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Zhang Y, Li T, Qiu Y, Zhang T, Guo P, Ma X, et al. Serum microRNA panel for early diagnosis of the onset of hepatocellular carcinoma. Medicine. 2017;96. https://doi.org/10.1097/MD.0000000000005642

  • Baraniskin A, Kuhnhenn J, Schlegel U, Maghnouj A, Zöllner H, Schmiegel W, et al. Identification of microRNAs in the cerebrospinal fluid as biomarker for the diagnosis of glioma. Neuro Oncol. 2012;14:29–33. https://doi.org/10.1093/neuonc/nor169

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Ivo D’urso P, Fernando D’urso O, Damiano Gianfreda C, Mezzolla V, Storelli C, Marsigliante S. miR-15b and miR-21 as circulating biomarkers for diagnosis of glioma. Curr Genomics. 2015;16:304–11.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Lai NS, Wu DG, Fang XG, Lin YC, Chen SS, Li ZB, et al. Serum microRNA-210 as a potential noninvasive biomarker for the diagnosis and prognosis of glioma. Br J Cancer. 2015;112:1241–6. https://doi.org/10.1038/bjc.2015.91

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 



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