MicroRNA Profiling of Red Blood Cells for Lung Cancer Diagnosis.

Xinyan Geng, Jie Ma, Pushpa Dhilipkannah, Feng Jiang
Author Information
  1. Xinyan Geng: Departments of Pathology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
  2. Jie Ma: Departments of Pathology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
  3. Pushpa Dhilipkannah: Departments of Pathology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
  4. Feng Jiang: Departments of Pathology, University of Maryland School of Medicine, Baltimore, MD 21201, USA. ORCID

Abstract

BACKGROUND: Despite extensive endeavors to establish cell-free circulating biomarkers for lung cancer diagnosis, clinical adoption remains elusive. Noteworthy, emergent evidence suggests the pivotal roles of red blood cells (RBCs) and their derivatives in tumorigenesis, illuminating potential avenues for diagnostic advancements using blood cell-derived microRNAs (miRNAs).
METHODS: We executed microarray analyses on three principal blood cell types-RBCs, peripheral blood mononuclear cells (PBMCs), and neutrophils-encompassing 26 lung cancer patients and 26 healthy controls. Validation was performed using droplet digital PCR within an additional cohort comprising 42 lung cancer and 39 control cases.
RESULTS: Our investigation unearthed distinct miRNA profiles associated with lung cancer across all examined blood cell types. Intriguingly, RBC-miRNAs emerged as potential novel biomarkers for lung cancer, an observation yet to be documented. Importantly, integrating miRNAs from disparate blood cell types yielded a superior diagnostic accuracy for lung cancer over individual cell-type miRNAs. Subsequently, we formulated three diagnostic panels, adeptly discerning non-small cell lung cancer, adenocarcinoma, and squamous cell carcinoma, maintaining consistency across various disease stages.
CONCLUSION: RBC-derived molecules introduce novel cancer biomarkers, and exploiting miRNA profiles across varied blood cell types unveils a promising frontier for lung cancer's early detection and histological classification.

Keywords

References

  1. J Cancer Res Clin Oncol. 2014 Jan;140(1):145-150 [PMID: 24281335]
  2. Mol Cancer Res. 2019 Jan;17(1):289-298 [PMID: 30257988]
  3. PLoS One. 2016 Oct 21;11(10):e0165261 [PMID: 27768748]
  4. Mol Oncol. 2014 Oct;8(7):1208-19 [PMID: 24785186]
  5. Oncogene. 2008 Oct 6;27(45):5904-12 [PMID: 18836471]
  6. Sci Rep. 2018 Apr 20;8(1):6348 [PMID: 29679068]
  7. Cancer Epidemiol Biomarkers Prev. 2020 Dec;29(12):2401-2410 [PMID: 32357955]
  8. J Cell Mol Med. 2014 Mar;18(3):371-90 [PMID: 24533657]
  9. Blood. 2002 Jun 1;99(11):3978-84 [PMID: 12010797]
  10. Am J Respir Crit Care Med. 2018 Feb 15;197(4):470-480 [PMID: 29053005]
  11. Haematologica. 2015 Oct;100(10):e387-9 [PMID: 26113420]
  12. Antioxid Redox Signal. 2004 Dec;6(6):992-9 [PMID: 15548896]
  13. Histol Histopathol. 2022 Aug;37(8):779-789 [PMID: 35274735]
  14. PLoS One. 2012;7(1):e29979 [PMID: 22276136]
  15. Lab Invest. 2011 Apr;91(4):579-87 [PMID: 21116241]
  16. Biochim Biophys Acta. 2012 Nov;1822(11):1692-704 [PMID: 22885155]
  17. Nat Cell Biol. 2011 Apr;13(4):423-33 [PMID: 21423178]
  18. Acta Pharmacol Sin. 2022 Nov;43(11):2946-2955 [PMID: 35388129]
  19. Proc Natl Acad Sci U S A. 2011 Mar 22;108(12):5003-8 [PMID: 21383194]
  20. Biomark Insights. 2013 Nov 14;8:127-36 [PMID: 24277982]
  21. Nat Rev Genet. 2012 Apr 18;13(5):358-69 [PMID: 22510765]
  22. Sci Rep. 2020 May 7;10(1):7727 [PMID: 32382026]
  23. Oncotarget. 2016 Feb 2;7(5):5131-42 [PMID: 26246471]
  24. ACS Nano. 2022 Apr 26;16(4):6527-6540 [PMID: 35426300]
  25. PLoS One. 2013 Jun 07;8(6):e64795 [PMID: 23762257]
  26. Sci Transl Med. 2021 Oct 20;13(616):eabj1008 [PMID: 34669439]
  27. Free Radic Biol Med. 2020 Dec;161:150-162 [PMID: 33059020]
  28. Blood Cells Mol Dis. 2006 May-Jun;36(3):355-63 [PMID: 16574438]
  29. Curr Chall Thorac Surg. 2023 Feb 25;5: [PMID: 37016707]
  30. Cell Oncol (Dordr). 2017 Aug;40(4):401-409 [PMID: 28293788]
  31. Cancer Prev Res (Phila). 2012 Mar;5(3):492-497 [PMID: 22158052]
  32. Curr Opin Hematol. 2022 Nov 1;29(6):306-309 [PMID: 35916547]
  33. Front Cell Dev Biol. 2021 Dec 01;9:771824 [PMID: 34926459]
  34. J Thromb Haemost. 2013 Dec;11(12):2148-54 [PMID: 24119131]
  35. Lab Invest. 2015 Oct;95(10):1197-206 [PMID: 26146958]
  36. Sci Rep. 2016 Oct 20;6:35714 [PMID: 27761023]
  37. RNA. 2012 Sep;18(9):1635-55 [PMID: 22850425]
  38. Front Oncol. 2022 Jul 22;12:939089 [PMID: 35936717]
  39. Cancer Biomark. 2019;26(2):219-227 [PMID: 31450489]
  40. Exp Ther Med. 2020 Apr;19(4):2527-2534 [PMID: 32256731]
  41. Proc Natl Acad Sci U S A. 2012 Feb 21;109(8):2796-801 [PMID: 21825174]
  42. Proc Natl Acad Sci U S A. 2008 Jul 29;105(30):10513-8 [PMID: 18663219]
  43. Mol Cancer. 2010 Jul 27;9:198 [PMID: 20663213]
  44. Biomark Cancer. 2016 Jan 24;8:1-7 [PMID: 26823654]
  45. PLoS One. 2008;3(11):e3694 [PMID: 19002258]
  46. J Clin Lab Anal. 2021 Dec;35(12):e24044 [PMID: 34714955]
  47. Adv Sci (Weinh). 2023 Mar;10(7):e2206361 [PMID: 36599687]
  48. Cell Rep. 2022 Aug 30;40(9):111298 [PMID: 36044866]
  49. Nutrients. 2018 Dec 01;10(12): [PMID: 30513730]
  50. Gene. 2018 Mar 20;647:13-20 [PMID: 29309884]
  51. Vaccines (Basel). 2021 Jan 27;9(2): [PMID: 33513777]

Grants

  1. UH3 CA251139/NCI NIH HHS
  2. CA251139-03/NCI NIH HHS

Word Cloud

Created with Highcharts 10.0.0lungcancerbloodcellbiomarkersmiRNAscellsdiagnosticacrosstypesdiagnosisredpotentialusingthree26miRNAprofilesnovelBACKGROUND:Despiteextensiveendeavorsestablishcell-freecirculatingclinicaladoptionremainselusiveNoteworthyemergentevidencesuggestspivotalrolesRBCsderivativestumorigenesisilluminatingavenuesadvancementscell-derivedmicroRNAsMETHODS:executedmicroarrayanalysesprincipaltypes-RBCsperipheralmononuclearPBMCsneutrophils-encompassingpatientshealthycontrolsValidationperformeddropletdigitalPCRwithinadditionalcohortcomprising4239controlcasesRESULTS:investigationuneartheddistinctassociatedexaminedIntriguinglyRBC-miRNAsemergedobservationyetdocumentedImportantlyintegratingdisparateyieldedsuperioraccuracyindividualcell-typeSubsequentlyformulatedpanelsadeptlydiscerningnon-smalladenocarcinomasquamouscarcinomamaintainingconsistencyvariousdiseasestagesCONCLUSION:RBC-derivedmoleculesintroduceexploitingvariedunveilspromisingfrontiercancer'searlydetectionhistologicalclassificationMicroRNAProfilingRedBloodCellsLungCancerDiagnosis

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