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Pre-transplant expressions of microRNAs, comorbidities, and post-transplant mortality

Abstract

We analyzed micro-RNAs (miRs) as possible diagnostic biomarkers for relevant comorbidities prior to and prognostic biomarkers for mortality following hematopoietic cell transplantation (HCT). A randomly selected group of patients (n = 36) were divided into low-risk (HCT-comorbidity index [HCT-CI] score of 0 and survived HCT) and high-risk (HCT-CI scores ≥ 4 and deceased after HCT) groups. There were 654 miRs tested and 19 met the pre-specified significance level of p < 0.1. In subsequent models, only eight miRs maintained statistical significance in regression models after adjusting for baseline demographic factors; miRs-374b and -454 were underexpressed, whereas miRs-142-3p, -191, -424, -590-3p, -29c, and -15b were overexpressed among high-risk patients relative to low-risk patients. Areas under the curve for these eight miRs ranged between 0.74 and 0.81, suggesting strong predictive capacity. Consideration of miRs may improve risk assessment of mortality and should be further explored in larger future prospective studies.

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References

  1. Sorror ML, Maris MB, Storb R, Baron F, Sandmaier BM, Maloney DG, et al. Hematopoietic cell transplantation (HCT)-specific comorbidity index: a new tool for risk assessment before allogeneic HCT. Blood. 2005;106:2912–9.

    Article  CAS  Google Scholar 

  2. Lu M, Zhang Q, Deng M, Miao J, Guo Y, Gao W, et al. An analysis of human microRNA and disease associations. PLoS ONE. 2008;3:e3420.

    Article  Google Scholar 

  3. Li M, Marin-Muller C, Bharadwaj U, Chow KH, Yao Q, Chen C. MicroRNAs: control and loss of control in human physiology and disease (Review). World J Surg. 2009;33:667–84.

    Article  Google Scholar 

  4. Pan ZW, Lu YJ, Yang BF. MicroRNAs: a novel class of potential therapeutic targets for cardiovascular diseases (Review). Zhongguo Yao Li Xue Bao/Acta Pharmacol Sin. 2010;31:9.

    Google Scholar 

  5. Nakasa T, Miyaki S, Okubo A, Hashimoto M, Nishida K, Ochi M, et al. Expression of microRNA-146 in rheumatoid arthritis synovial tissue. Arthritis Rheumatism. 2008;58:1284–92.

    Article  CAS  Google Scholar 

  6. Xiao B, Wang Y, Li W, Baker M, Guo J, Corbet K, et al. Plasma microRNA signature as a noninvasive biomarker for acute graft-versus-host disease. Blood. 2013;122:3365–75.

    Article  CAS  Google Scholar 

  7. Ranganathan P, Heaphy CE, Costinean S, Stauffer N, Na C, Hamadani M, et al. Regulation of acute graft-versus-host disease by microRNA-155. Blood. 2012;119:4786–97.

    Article  CAS  Google Scholar 

  8. Stickel N, Hanke K, Marschner D, Prinz G, Kohler M, Melchinger W, et al. MicroRNA-146a reduces MHC-II expression via targeting JAK/STAT signaling in dendritic cells after stem cell transplantation. Leukemia. 2017;31:2732–41.

    Article  CAS  Google Scholar 

  9. Chen S, Smith BA, Iype J, Prestipino A, Pfeifer D, Grundmann S, et al. MicroRNA-155-deficient dendritic cells cause less severe GVHD through reduced migration and defective inflammasome activation. Blood. 2015;126:103–12.

    Article  CAS  Google Scholar 

  10. Sorror M. How I assess comorbidities prior to hematopoietic cell transplantation. Blood. 2013;121:2854–63.

    Article  CAS  Google Scholar 

  11. Xie LN, Zhou F, Liu XM, Fang Y, Yu Z, Song NX, et al. Serum microRNA155 is increased in patients with acute graft-versus-host disease. Clin Transplant. 2014;28:314–23.

    Article  CAS  Google Scholar 

  12. Knouf EC, Wyman SK, Tewari M. The human TUT1 nucleotidyl transferase as a global regulator of microRNA abundance. PLoS ONE. 2013;8:e69630.

    Article  CAS  Google Scholar 

  13. Geiss GK, Bumgarner RE, Birditt B, Dahl T, Dowidar N, Dunaway DL, et al. Direct multiplexed measurement of gene expression with color-coded probe pairs. Nat Biotechnol. 2008;26:317–25.

    Article  CAS  Google Scholar 

  14. Pritchard CC, Cheng HH, Tewari M. MicroRNA profiling: approaches and considerations. Nat Rev Genet. 2012;13:358–69.

    Article  CAS  Google Scholar 

  15. Derda AA, Thum S, Lorenzen JM, Bavendiek U, Heineke J, Keyser B. et al. Blood-based microRNA signatures differentiate various forms of cardiac hypertrophy. Int J Cardiol. 2015;196:115–22. https://doi.org/10.1016/j.ijcard.2015.05.185.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Liu Y, Cai Q, Bao PP, Su Y, Cai H, Wu J, et al. Tumor tissue microRNA expression in association with triple-negative breast cancer outcomes. Breast Cancer Res Treat. 2015;152:183–91.

    Article  CAS  Google Scholar 

  17. Schaefer JS, Attumi T, Opekun AR, Abraham B, Hou J, Shelby H, et al. MicroRNA signatures differentiate Crohn’s disease from ulcerative colitis. BMC Immunol. 2015;16:5.

    Article  Google Scholar 

  18. Sayed AS, Xia K, Li F, Deng X, Salma U, Li T, et al. The diagnostic value of circulating microRNAs for middle-aged (40-60-year-old) coronary artery disease patients. Clinics. 2015;70:257–63.

    Article  Google Scholar 

  19. Zhu H, Leung SW. Identification of microRNA biomarkers in type 2 diabetes: a meta-analysis of controlled profiling studies. Diabetologia. 2015;58:900–11.

    Article  CAS  Google Scholar 

  20. Steen SO, Iversen LV, Carlsen AL, Burton M, Nielsen CT, Jacobsen S, et al. The circulating cell-free microRNA profile in systemic sclerosis is distinct from both healthy controls and systemic lupus erythematosus. J Rheumatol. 2015;42:214–21.

    Article  CAS  Google Scholar 

  21. Vinuesa CG, Rigby RJ, Yu D. Logic and extent of miRNA-mediated control of autoimmune gene expression (Review). Int Rev Immunol. 2009;28(4-Mar):112–38.

    Article  CAS  Google Scholar 

  22. Villa C, Fenoglio C, De Riz M, Clerici F, Marcone A, Benussi L, et al. Role of hnRNP-A1 and miR-590-3p in neuronal death: genetics and expression analysis in patients with Alzheimer disease and frontotemporal lobar degeneration. Rejuvenation Res. 2011;14:275–81.

    Article  CAS  Google Scholar 

  23. Ortega FJ, Mercader JM, Catalan V, Moreno-Navarrete JM, Pueyo N, Sabater M, et al. Targeting the circulating microRNA signature of obesity. Clin Chem. 2013;59:781–92.

    Article  CAS  Google Scholar 

  24. Gidlof O, Smith JG, Miyazu K, Gilje P, Spencer A, Blomquist S, et al. Circulating cardio-enriched microRNAs are associated with long-term prognosis following myocardial infarction. BMC Cardiovasc Disord. 2013;13:12.

    Article  Google Scholar 

  25. Adyshev DM, Moldobaeva N, Mapes B, Elangovan V, Garcia JG. MicroRNA regulation of nonmuscle myosin light chain kinase expression in human lung endothelium. Am J Respir Cell Mol Biol. 2013;49:58–66.

    Article  CAS  Google Scholar 

  26. Gandhi R, Healy B, Gholipour T, Egorova S, Musallam A, Hussain MS, et al. Circulating microRNAs as biomarkers for disease staging in multiple sclerosis. Ann Neurol. 2013;73:729–40.

    Article  CAS  Google Scholar 

  27. Ellis KL, Cameron VA, Troughton RW, Frampton CM, Ellmers LJ, Richards AM. Circulating microRNAs as candidate markers to distinguish heart failure in breathless patients. Eur J Heart Fail. 2013;15:1138–47.

    Article  CAS  Google Scholar 

  28. Vuppalanchi R, Liang T, Goswami CP, Nalamasu R, Li L, Jones D, et al. Relationship between differential hepatic microRNA expression and decreased hepatic cytochrome P450 3A activity in cirrhosis. PLoS ONE. 2013;8:e74471.

    Article  CAS  Google Scholar 

  29. Lin J, Welker NC, Zhao Z, Li Y, Zhang J, Reuss SA, et al. Novel specific microRNA biomarkers in idiopathic inflammatory bowel disease unrelated to disease activity. Mod Pathol. 2014;27:602–8.

    Article  CAS  Google Scholar 

  30. Ren J, Zhang J, Xu N, Han G, Geng Q, Song J, et al. Signature of circulating microRNAs as potential biomarkers in vulnerable coronary artery disease. PLoS ONE. 2013;8:e80738.

    Article  Google Scholar 

  31. Lu Y, Hou S, Huang D, Luo X, Zhang J, Chen J, et al. Expression profile analysis of circulating microRNAs and their effects on ion channels in Chinese atrial fibrillation patients. Int J Clin Exp Med. 2015;8:845–53.

    CAS  PubMed  PubMed Central  Google Scholar 

  32. Huang C, Zheng JM, Cheng Q, Yu KK, Ling QX, Chen MQ, et al. Serum microRNA-29 levels correlate with disease progression in patients with chronic hepatitis B virus infection. J Dig Dis. 2014;15:614–21.

    Article  CAS  Google Scholar 

  33. Niu G, Li B, Sun J, Sun L. miR-454 is down-regulated in osteosarcomas and suppresses cell proliferation and invasion by directly targeting c-Met. Cell Prolif. 2015;48:348–55.

    Article  CAS  Google Scholar 

  34. Ward JA, Esa N, Pidikiti R, Freedman JE, Keaney JF, Tanriverdi K, et al. Circulating cell and plasma microRNA profiles differ between non-ST-segment and ST-segment-elevation myocardial infarction. Fam Med Med Sci Res. 2013;2:108.

    PubMed  PubMed Central  Google Scholar 

  35. Mitchell PS, Parkin RK, Kroh EM, Fritz BR, Wyman SK, Pogosova-Agadjanyan EL, et al. Circulating microRNAs as stable blood-based markers for cancer detection. Proc Natl Acad Sci USA. 2008;105:10513–8.

    Article  CAS  Google Scholar 

  36. Hunter MP, Ismail N, Zhang X, Aguda BD, Lee EJ, Yu L, et al. Detection of microRNA expression in human peripheral blood microvesicles. PLoS ONE. 2008;3:e3694. [Erratum appears in PLoS ONE. 2010;5 https://doi.org/10.1371/annotation/b15ca816-7b62-4474-a568-6b60b8959742].

    Article  Google Scholar 

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Funding

This study was supported by grants DK056465, HL099993, and HL088021 from the National Institutes of Health. MLS is also supported by a Research Scholar Grant No. RSG-13-084-01-CPHPS from the American Cancer Society (ACS) and a Contract No. CE-1304-7451 from the Patient-Centered Outcome Research Institute (PCORI). We are grateful to Gary Schoch for acquisition of data. We would like to thank Bonnie Larson, Helen Crawford, and Jennifer E. Nyland for their assistance with manuscript preparation.

Author contributions

MLS, BJT-S, and MT contributed to study design; MLS collected data and obtained funding for the study; MLS and JH contributed to sample analyses; TAG performed statistical analysis; MLS, KM, JH, MAM, BJT-S, and MT contributed to analysis and interpretation of results; MLS wrote the manuscript; MLS, MAM, BJT-S, and MT edited the manuscript.

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Correspondence to Mohamed L. Sorror.

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Conflict of interest

KHM is employed by NanoString Technologies, which provided the assay to determine expressions of miRs. The remaining authors declare that they have no conflict of interest.

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Sorror, M.L., Gooley, T.A., Maclean, K.H. et al. Pre-transplant expressions of microRNAs, comorbidities, and post-transplant mortality. Bone Marrow Transplant 54, 973–979 (2019). https://doi.org/10.1038/s41409-018-0352-9

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