Skip to main content

miR-21: a non‐specific biomarker of all maladies

Abstract

miRNA-21 is among the most abundant and highly conserved microRNAs (miRNAs) recognized. It is expressed in essentially all cells where it performs vital regulatory roles in health and disease. It is also frequently claimed to be a biomarker of diseases such as cancer and heart disease in bodily-fluid based miRNA studies. Here we dissociate its contributions to cellular physiology and pathology from its potential as a biomarker. We show how it has been claimed as a specific predictive or prognostic biomarker by at least 29 diseases. Thus, it has no specificity to any one disease. As a result, it should not be considered a viable candidate to be a biomarker, despite its continued evaluation as such. This theme of multiple assignments of a miRNA as a biomarker is shared with other common, ubiquitous miRNAs and should be concerning for them as well.

Introduction

MicroRNAs (miRNAs) are a class of small regulatory RNA. They have important functions in health, disease, and development [1, 2]. miRNAs have a fairly consistent numerical naming convention and hundreds to thousands of highly-conserved miRNAs are known across most species [3, 4]. Because miRNAs are stable in bodily fluids, they have been considered as potential biomarkers of disease [5, 6]. Scores of papers have assigned a litany of miRNA biomarkers to a plethora of different disease states [7,8,9]. Amongst miRNAs, miR-21-5p (miR-21) is one of the most highly-expressed and highly-studied.

miR-21 was among the first identified microRNAs and is located within the Vacuole Membrane Protein 1 (VMP1) locus on chromosome 17 [10]. It has been implicated in both neoplastic and non-neoplastic pathologies through many of its gene targets. Three of the main targets of miR-21 are Phosphatase and Tensin Homolog (PTEN), Tropomyosin 1 (TPM1), and Programmed Cell Death 4 (PDCD4) [11,12,13,14]. The regulation of miR-21 is more complex than most miRNAs. It is transcribed from both a ~ 3.5 kb and a ~ 4.3 kb pri-miR-21, from within the VMP1 locus. The transcription of miR-21 is regulated by hypoxia and cytokines, such as interferon [15, 16]. Further post-translational regulation occurs through transforming growth factor beta (TGFβ) mediated events [17].

Functionally, miR-21 has been assigned a variety of activities. In both neoplastic and non-neoplastic disease, the down regulation of miR-21 increased the rate of cell death, the exact target of this is unknown, though possibilities are HIF-1α, PTEN, and PDCD4 [16, 18, 19]. miR-21 increases cell migration through TPM1 and PDCD4 in neoplastic disease. The upregulation by cytokines indicates a role in inflammation. In cardiovascular disease, miR-21 increases fibrosis and cardiac hypertrophy [20, 21]. Due to these important functional activities, miR-21 has been targeted for therapeutic intervention in neoplastic and other diseases [22,23,24]. Outside of its role as a biomarker, we refer the reader to these excellent reviews of miR-21 function [25,26,27].

miR-21: a biomarker across a spectrum of diseases

Not only is miR-21 highly-expressed, it is also ubiquitous across most cell types. However, its common abundant expression is not consistent cell to cell. It has the highest reported levels of expression in macrophages, monocytes and dendritic cells based on cell-specific surveys [28, 29]. From the University of California, Santa Clara (UCSC) Genome Browser Human cellular microRNAome barCharts, the median reads per million (RPM) of miR-21 amongst 75 combined macrophage, monocyte and dendritic cells was 137,021 RPM whereas it was only 38,281 RPM amongst 470 other cells of a combined 75 cell types (Fig. 1). Because of the abundance of miR-21, it is easily measured from bodily fluids such as plasma, serum, urine, peripheral blood mononuclear cells (PBMCs), and other spaces. Across thousands of studies of miRNAs as biomarkers, it frequently appears as having altered expression.

Fig. 1
figure 1

miR-21 expression across 78 cell types. While miR-21 is robustly expressed in most cell types, its highest expression levels appear in macrophages, monocytes, and dendritic cells. Image modified from the UCSC Genome Browser

Table 1 lists a subset of studies and diseases in which miR-21 has been implicated as a nonneoplastic biomarker and Table 2 lists cancer biomarker studies. As one can see from the data, miR-21 is implicated as a biomarker in no less than 29 diseases or processes. As far back as 2014, it had already been implicated in 10 non-neoplastic diseases and multiple cancers [30, 31]. Of note, miR-21 is elevated in each of these disease states ranging from cardiovascular disease to cancer. These 45 publications span from 2008 to 2020 and have over 5,000 collective citations (median 68) indicating they are well-known studies and that miR-21 is continued to be pursued as a biomarker.

Table 1 Biomarker status of elevated miR-21 across 16 non-neoplastic diseases
Table 2 Biomarker status of elevated miR-21 across 13 neoplasias

What do all of these biomarker studies tell us?

If miR-21 is a marker of at least 29 diseases, then it cannot be a specific biomarker for any disease. Another way to think about this is as follows: If one did a study with 200 subjects and 100 of them had high miR-21 levels and 100 had low miR-21 levels, what disease does the group with the high miR-21 predict? Lung cancer? Myocardial infarction? Lupus? Because that can’t be known, how can one believe that miR-21 can be a predictive marker for any disease in a general population [76]? The only way miR-21 can be associated with a disease is if the patient’s diagnoses are known a priori, as is the construct of biomarker studies. How about miR-21 serving as a biomarker for a prognostic change between low grade and advancing disease? Based on all of the potential reasons that a miR-21 level can be elevated, how much confidence can an elevated miR-21 level in a patient (and elevated relative to what?) be specific to the disease of inquiry versus any other potential health change? Again, there are too many reasons why miR-21 levels may change to be comfortably assigned to the disease of interest.

Another use of miR-21, as seen from the tables, is as one of multiple miRNAs that collectively serve as a biomarker of disease. These sorts of studies tend to find the optimal area under the curve (AUC) based on 2–6 miRNAs [40, 46, 65]. While this approach likely brings more power to the study than a solitary miR-21 approach, it is still difficult to appreciate that miR-21 adds anything to that collection other than to indicate a cell stressor or perhaps a change in the inflammatory cell milieu. As well, miR-21 levels are frequently used in conjunction with other common miRNAs such as miR-155, miR-92a, and miR-122, which also decreases specificity towards a particular disease (Table 1).

One important point about all of these studies is that there is ample evidence that miR-21 expression really is altered in many disease states [11, 20, 77, 78]. That is likely telling us something very fundamental about the expression and function of this highly conserved miRNA. It would seem to suggest that miR-21 is commonly upregulated in a stress environment [1]. Another possibility is macrophages/dendritic cells/circulating monocytes are increased in disease states as part of a global inflammatory response. As the percentage of these cells increase, the levels of miR-21 will increase in tandem in the same bodily fluids. If this is true, then miR-21 may have a very narrow value as a biomarker, where it can be used in conjunction with other cell-specific miRNAs to address the extent of inflammation, if that was a diagnostic factor for a particular disease.

Although we have focused the discussion on miR-21 as a biomarker, all ubiquitous miRNAs should be viewed with caution as potential prognostic biomarkers for any disease [30]. Unfortunately, many miRNAs, such as the let-7 family, miR-10a, miR-22, and others are also both commonly identified as disease biomarkers and common to many different cell types [79]. Each of these three miRNAs are also implicated in a range of neoplastic and non-neoplastic disorders.

Need to separate the functional importance of a miRNA from its value as a biomarker

miR-21 is clearly involved in key regulatory pathways. Modulating its expression in in vivo and in vitro studies show clear and important phenotype changes. We may ultimately find that a miR-21 pathway can be successfully targeted for therapeutic intervention. In fact, at least two clinical trials, one in Alport Syndrome (NCT03373786), and another in diabetic wound healing (NCT02581098) are attempting exactly that and may indicate the usefulness in modulating miR-21 levels for efficacy. However, this important role in disease does not make it a useful biomarker to predict these diseases.

Conclusions

Sadly, miR-21 cannot be considered a specific biomarker for any disease if it is a biomarker of many diseases. While its levels may genuinely vary across bodily fluids in disease states, these variations have no specificity. The miRNA community should stop trying to develop miRNA biomarker studies around miR-21 or other miRNAs with the same characteristics. Future miRNA biomarker researchers should be cognizant of other claims on their miRNA of interest and move toward miRNAs that are more unique.

The best miRNA biomarkers will be those that indicate injury or perturbation to a specific cell type. Already one such miRNA, miR-371a-3p has shown promise as a biomarker for testicular cancer. Whether it will make it into clinical practice is unknown [80, 81]. Other cell specific miRNAs, such as miR-122, a hepatocyte-specific miRNA, is useful in identifying liver injury, while the myomiRs, miR-133, miR-206, miR-208, miR-499 have shown some promise for their ability to identify cardiac injury [30, 82].

In conclusion, miR-21 is a critically important miRNA in health, development, and disease, but based on a significant body of work, is not a useful fluid-based biomarker. Research into this role should not be pursued.

Availability of data and materials

Not applicable.

Abbreviations

miRNAs:

microRNAs

VMP1:

Vacuole Membrane Protein 1

PTEN:

Phosphatase and Tensin Homolog

TPM1:

Tropomyosin 1

PDCD4:

Programmed Cell Death 4

UCSC:

University of California, Santa Clara

RPM:

Reads per million

PBMCs:

Peripheral blood mononuclear cells

DC:

Discovery Cohort

VC:

Validation Cohort

EV:

Extracellular Vesicles

PBMC:

Peripheral Blood Mononuclear Cells

CAC:

Circulating Angiogenic Cells

AUC:

Area under the curve

References

  1. Mendell JT, Olson EN. MicroRNAs in stress signaling and human disease. Cell. 2012;148(6):1172–87.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004;116(2):281–97.

    Article  CAS  PubMed  Google Scholar 

  3. Kozomara A, Griffiths-Jones S. miRBase: annotating high confidence microRNAs using deep sequencing data. Nucleic Acids Res. 2014;42(Database issue):D68–73.

    Article  CAS  PubMed  Google Scholar 

  4. Fromm B, Domanska D, Hoye E, Ovchinnikov V, Kang W, Aparicio-Puerta E, Johansen M, Flatmark K, Mathelier A, Hovig E, et al. MirGeneDB 2.0: the metazoan microRNA complement. Nucleic Acids Res. 2020;48(D1):D132–41.

    Article  CAS  PubMed  Google Scholar 

  5. Mitchell PS, Parkin RK, Kroh EM, Fritz BR, Wyman SK, Pogosova-Agadjanyan EL, Peterson A, Noteboom J, O’Briant KC, Allen A, et al. Circulating microRNAs as stable blood-based markers for cancer detection. Proc Natl Acad Sci U S A. 2008;105(30):10513–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Chen X, Ba Y, Ma L, Cai X, Yin Y, Wang K, Guo J, Zhang Y, Chen J, Guo X, et al. Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases. Cell Res. 2008;18(10):997–1006.

    Article  CAS  PubMed  Google Scholar 

  7. Xie QY, Almudevar A, Whitney-Miller CL, Barry CT, McCall MN. A microRNA biomarker of hepatocellular carcinoma recurrence following liver transplantation accounting for within-patient heterogeneity. BMC Med Genomics. 2016;9:18.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  8. Allen-Rhoades W, Kurenbekova L, Satterfield L, Parikh N, Fuja D, Shuck RL, Rainusso N, Trucco M, Barkauskas DA, Jo E, et al. Cross-species identification of a plasma microRNA signature for detection, therapeutic monitoring, and prognosis in osteosarcoma. Cancer medicine. 2015;4(7):977–88.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Zampetaki A, Kiechl S, Drozdov I, Willeit P, Mayr U, Prokopi M, Mayr A, Weger S, Oberhollenzer F, Bonora E, et al. Plasma microRNA profiling reveals loss of endothelial miR-126 and other microRNAs in type 2 diabetes. Circ Res. 2010;107(6):810–7.

    Article  CAS  PubMed  Google Scholar 

  10. Lagos-Quintana M, Rauhut R, Lendeckel W, Tuschl T. Identification of novel genes coding for small expressed RNAs. Science. 2001;294(5543):853–8.

    Article  CAS  PubMed  Google Scholar 

  11. Meng F, Henson R, Wehbe-Janek H, Ghoshal K, Jacob ST, Patel T. MicroRNA-21 regulates expression of the PTEN tumor suppressor gene in human hepatocellular cancer. Gastroenterology. 2007;133(2):647–58.

    Article  CAS  PubMed  Google Scholar 

  12. Zhu Q, Wang Z, Hu Y, Li J, Li X, Zhou L, Huang Y. miR-21 promotes migration and invasion by the miR-21-PDCD4-AP-1 feedback loop in human hepatocellular carcinoma. Oncol Rep. 2012;27(5):1660–8.

    CAS  PubMed  Google Scholar 

  13. Zhang JG, Wang JJ, Zhao F, Liu Q, Jiang K, Yang GH. MicroRNA-21 (miR-21) represses tumor suppressor PTEN and promotes growth and invasion in non-small cell lung cancer (NSCLC). Clin Chim Acta. 2010;411(11–12):846–52.

    Article  CAS  PubMed  Google Scholar 

  14. Zhu S, Si ML, Wu H, Mo YY. MicroRNA-21 targets the tumor suppressor gene tropomyosin 1 (TPM1). J Biol Chem. 2007;282(19):14328–36.

    Article  CAS  PubMed  Google Scholar 

  15. da Costa Martins PA, De Windt LJ. miR-21: a miRaculous Socratic paradox. Cardiovasc Res. 2010;87(3):397–400.

    Article  PubMed  CAS  Google Scholar 

  16. Yang CH, Yue J, Fan M, Pfeffer LM. IFN induces miR-21 through a signal transducer and activator of transcription 3-dependent pathway as a suppressive negative feedback on IFN-induced apoptosis. Cancer Res. 2010;70(20):8108–16.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Davis BN, Hilyard AC, Lagna G, Hata A. SMAD proteins control DROSHA-mediated microRNA maturation. Nature. 2008;454(7200):56–61.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Liu Y, Nie H, Zhang K, Ma D, Yang G, Zheng Z, Liu K, Yu B, Zhai C, Yang S. A feedback regulatory loop between HIF-1alpha and miR-21 in response to hypoxia in cardiomyocytes. FEBS Lett. 2014;588(17):3137–46.

    Article  CAS  PubMed  Google Scholar 

  19. Si ML, Zhu S, Wu H, Lu Z, Wu F, Mo YY. miR-21-mediated tumor growth. Oncogene. 2007;26(19):2799–803.

    Article  CAS  PubMed  Google Scholar 

  20. Liu G, Friggeri A, Yang Y, Milosevic J, Ding Q, Thannickal VJ, Kaminski N, Abraham E. miR-21 mediates fibrogenic activation of pulmonary fibroblasts and lung fibrosis. The Journal of experimental medicine. 2010;207(8):1589–97.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Tatsuguchi M, Seok HY, Callis TE, Thomson JM, Chen JF, Newman M, Rojas M, Hammond SM, Wang DZ. Expression of microRNAs is dynamically regulated during cardiomyocyte hypertrophy. J Mol Cell Cardiol. 2007;42(6):1137–41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Liang G, Zhu Y, Ali DJ, Tian T, Xu H, Si K, Sun B, Chen B, Xiao Z. Engineered exosomes for targeted co-delivery of miR-21 inhibitor and chemotherapeutics to reverse drug resistance in colon cancer. J Nanobiotechnology. 2020;18(1):10.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Chan JK, Blansit K, Kiet T, Sherman A, Wong G, Earle C, Bourguignon LY. The inhibition of miR-21 promotes apoptosis and chemosensitivity in ovarian cancer. Gynecol Oncol. 2014;132(3):739–44.

    Article  CAS  PubMed  Google Scholar 

  24. Li T, Li RS, Li YH, Zhong S, Chen YY, Zhang CM, Hu MM, Shen ZJ. miR-21 as an independent biochemical recurrence predictor and potential therapeutic target for prostate cancer. J Urol. 2012;187(4):1466–72.

    Article  CAS  PubMed  Google Scholar 

  25. Sheedy FJ. Turning 21: Induction of miR-21 as a Key Switch in the Inflammatory Response. Frontiers in immunology. 2015;6:19.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  26. Pfeffer SR, Yang CH, Pfeffer LM. The Role of miR-21 in Cancer. Drug development research. 2015;76(6):270–7.

    Article  CAS  PubMed  Google Scholar 

  27. Kura B, Kalocayova B, Devaux Y, Bartekova M. Potential Clinical Implications of miR-1 and miR-21 in Heart Disease and Cardioprotection. International journal of molecular sciences 2020, 21(3).

  28. McCall MN, Illei PB, Halushka MK. Complex Sources of Variation in Tissue Expression Data: Analysis of the GTEx Lung Transcriptome. Am J Hum Genet. 2016;99(3):624–35.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. de Rie D, Abugessaisa I, Alam T, Arner E, Arner P, Ashoor H, Astrom G, Babina M, Bertin N, Burroughs AM, et al. An integrated expression atlas of miRNAs and their promoters in human and mouse. Nature biotechnology. 2017;35(9):872–8.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  30. Haider BA, Baras AS, McCall MN, Hertel JA, Cornish TC, Halushka MK. A Critical Evaluation of microRNA Biomarkers in Non-Neoplastic Disease. PLoS One. 2014;9(2):e89565.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  31. Pritchard CC, Kroh E, Wood B, Arroyo JD, Dougherty KJ, Miyaji MM, Tait JF, Tewari M. Blood cell origin of circulating microRNAs: a cautionary note for cancer biomarker studies. Cancer Prev Res (Phila). 2012;5(3):492–7.

    Article  CAS  Google Scholar 

  32. Olivieri F, Antonicelli R, Lorenzi M, D’Alessandra Y, Lazzarini R, Santini G, Spazzafumo L, Lisa R, La Sala L, Galeazzi R, et al. Diagnostic potential of circulating miR-499-5p in elderly patients with acute non ST-elevation myocardial infarction. Int J Cardiol. 2013;167(2):531–6.

    Article  PubMed  Google Scholar 

  33. Zhang Y, Liu YJ, Liu T, Zhang H, Yang SJ. Plasma microRNA-21 is a potential diagnostic biomarker of acute myocardial infarction. Eur Rev Med Pharmacol Sci. 2016;20(2):323–9.

    PubMed  Google Scholar 

  34. Han H, Qu G, Han C, Wang Y, Sun T, Li F, Wang J, Luo S. MiR-34a, miR-21 and miR-23a as potential biomarkers for coronary artery disease: a pilot microarray study and confirmation in a 32 patient cohort. Exp Mol Med. 2015;47:e138.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Kumar D, Narang R, Sreenivas V, Rastogi V, Bhatia J, Saluja D, Srivastava K. Circulatory miR-133b and miR-21 as Novel Biomarkers in Early Prediction and Diagnosis of Coronary Artery Disease. Genes (Basel) 2020, 11(2).

  36. Yao R, Ma Y, Du Y, Liao M, Li H, Liang W, Yuan J, Ma Z, Yu X, Xiao H, et al. The altered expression of inflammation-related microRNAs with microRNA-155 expression correlates with Th17 differentiation in patients with acute coronary syndrome. Cell Mol Immunol. 2011;8(6):486–95.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Jiang Y, Wang HY, Li Y, Guo SH, Zhang L, Cai JH. Peripheral blood miRNAs as a biomarker for chronic cardiovascular diseases. Scientific reports. 2014;4:5026.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Villar AV, Garcia R, Merino D, Llano M, Cobo M, Montalvo C, Martin-Duran R, Hurle MA, Nistal JF. Myocardial and circulating levels of microRNA-21 reflect left ventricular fibrosis in aortic stenosis patients. Int J Cardiol. 2013;167(6):2875–81.

    Article  PubMed  Google Scholar 

  39. Stammet P, Goretti E, Vausort M, Zhang L, Wagner DR, Devaux Y. Circulating microRNAs after cardiac arrest. Critical care medicine. 2012;40(12):3209–14.

    Article  CAS  PubMed  Google Scholar 

  40. Zahm AM, Thayu M, Hand NJ, Horner A, Leonard MB, Friedman JR. Circulating microRNA is a biomarker of pediatric Crohn disease. J Pediatr Gastroenterol Nutr. 2011;53(1):26–33.

    Article  CAS  PubMed  Google Scholar 

  41. Ouyang X, Jiang X, Gu D, Zhang Y, Kong SK, Jiang C, Xie W. Dysregulated Serum MiRNA Profile and Promising Biomarkers in Dengue-infected Patients. Int J Med Sci. 2016;13(3):195–205.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. El-Hefny M, Fouad S, Hussein T, Abdel-Hameed R, Effat H, Mohamed H, Abdel Wahab AH. Circulating microRNAs as predictive biomarkers for liver disease progression of chronic hepatitis C (genotype-4) Egyptian patients. J Med Virol. 2019;91(1):93–101.

    Article  CAS  PubMed  Google Scholar 

  43. Bihrer V, Waidmann O, Friedrich-Rust M, Forestier N, Susser S, Haupenthal J, Welker M, Shi Y, Peveling-Oberhag J, Polta A, et al. Serum microRNA-21 as marker for necroinflammation in hepatitis C patients with and without hepatocellular carcinoma. PLoS One. 2011;6(10):e26971.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Fenoglio C, Cantoni C, De Riz M, Ridolfi E, Cortini F, Serpente M, Villa C, Comi C, Monaco F, Mellesi L, et al. Expression and genetic analysis of miRNAs involved in CD4 + cell activation in patients with multiple sclerosis. Neurosci Lett. 2011;504(1):9–12.

    Article  CAS  PubMed  Google Scholar 

  45. Yamada H, Suzuki K, Ichino N, Ando Y, Sawada A, Osakabe K, Sugimoto K, Ohashi K, Teradaira R, Inoue T, et al. Associations between circulating microRNAs (miR-21, miR-34a, miR-122 and miR-451) and non-alcoholic fatty liver. Clin Chim Acta. 2013;424:99–103.

    Article  CAS  PubMed  Google Scholar 

  46. Abd-El-Fattah AA, Sadik NA, Shaker OG, Aboulftouh ML. Differential microRNAs expression in serum of patients with lung cancer, pulmonary tuberculosis, and pneumonia. Cell Biochem Biophys. 2013;67(3):875–84.

    Article  CAS  PubMed  Google Scholar 

  47. Makiguchi T, Yamada M, Yoshioka Y, Sugiura H, Koarai A, Chiba S, Fujino N, Tojo Y, Ota C, Kubo H, et al. Serum extracellular vesicular miR-21-5p is a predictor of the prognosis in idiopathic pulmonary fibrosis. Respir Res. 2016;17(1):110.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  48. Li P, Zhao GQ, Chen TF, Chang JX, Wang HQ, Chen SS, Zhang GJ. Serum miR-21 and miR-155 expression in idiopathic pulmonary fibrosis. J Asthma. 2013;50(9):960–4.

    Article  CAS  PubMed  Google Scholar 

  49. Glowacki F, Savary G, Gnemmi V, Buob D, Van der Hauwaert C, Lo-Guidice JM, Bouye S, Hazzan M, Pottier N, Perrais M, et al. Increased circulating miR-21 levels are associated with kidney fibrosis. PLoS One. 2013;8(2):e58014.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Wang H, Peng W, Ouyang X, Li W, Dai Y. Circulating microRNAs as candidate biomarkers in patients with systemic lupus erythematosus. Transl Res. 2012;160(3):198–206.

    Article  CAS  PubMed  Google Scholar 

  51. Khoshmirsafa M, Kianmehr N, Falak R, Mowla SJ, Seif F, Mirzaei B, Valizadeh M, Shekarabi M. Elevated expression of miR-21 and miR-155 in peripheral blood mononuclear cells as potential biomarkers for lupus nephritis. Int J Rheum Dis. 2019;22(3):458–67.

    Article  CAS  PubMed  Google Scholar 

  52. Olivieri F, Spazzafumo L, Bonafe M, Recchioni R, Prattichizzo F, Marcheselli F, Micolucci L, Mensa E, Giuliani A, Santini G, et al. MiR-21-5p and miR-126a-3p levels in plasma and circulating angiogenic cells: relationship with type 2 diabetes complications. Oncotarget. 2015;6(34):35372–82.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Thapa DR, Hussain SK, Tran WC, D’Souza G, Bream JH, Achenback CJ, Ayyavoo V, Detels R, Martinez-Maza O. Serum microRNAs in HIV-infected individuals as pre-diagnosis biomarkers for AIDS-NHL. J Acquir Immune Defic Syndr. 2014;66(2):229–37.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Li J, Fu R, Yang L, Tu W. miR-21 expression predicts prognosis in diffuse large B-cell lymphoma. Int J Clin Exp Pathol. 2015;8(11):15019–24.

    PubMed  PubMed Central  Google Scholar 

  55. Lawrie CH, Gal S, Dunlop HM, Pushkaran B, Liggins AP, Pulford K, Banham AH, Pezzella F, Boultwood J, Wainscoat JS, 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(5):672–5.

    Article  PubMed  Google Scholar 

  56. Asaga S, Kuo C, Nguyen T, Terpenning M, Giuliano AE, Hoon DS. Direct serum assay for microRNA-21 concentrations in early and advanced breast cancer. Clinical chemistry. 2011;57(1):84–91.

    Article  CAS  PubMed  Google Scholar 

  57. Si H, Sun X, Chen Y, Cao Y, Chen S, Wang H, Hu C. Circulating microRNA-92a and microRNA-21 as novel minimally invasive biomarkers for primary breast cancer. J Cancer Res Clin Oncol. 2013;139(2):223–9.

    Article  CAS  PubMed  Google Scholar 

  58. Liu GH, Zhou ZG, Chen R, Wang MJ, Zhou B, Li Y, Sun XF. Serum miR-21 and miR-92a as biomarkers in the diagnosis and prognosis of colorectal cancer. Tumour biology: the journal of the International Society for Oncodevelopmental Biology Medicine. 2013;34(4):2175–81.

    Article  CAS  Google Scholar 

  59. Kanaan Z, Rai SN, Eichenberger MR, Roberts H, Keskey B, Pan J, Galandiuk S. Plasma miR-21: a potential diagnostic marker of colorectal cancer. Ann Surg. 2012;256(3):544–51.

    Article  PubMed  Google Scholar 

  60. Toiyama Y, Takahashi M, Hur K, Nagasaka T, Tanaka K, Inoue Y, Kusunoki M, Boland CR, Goel A. Serum miR-21 as a diagnostic and prognostic biomarker in colorectal cancer. J Natl Cancer Inst. 2013;105(12):849–59.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Cai EH, Gao YX, Wei ZZ, Chen WY, Yu P, Li K. Serum miR-21 expression in human esophageal squamous cell carcinomas. Asian Pacific journal of cancer prevention: APJCP. 2012;13(4):1563–7.

    Article  PubMed  Google Scholar 

  62. Ma GJ, Gu RM, Zhu M, Wen X, Li JT, Zhang YY, Zhang XM, Chen SQ. Plasma post-operative miR-21 expression in the prognosis of gastric cancers. Asian Pacific journal of cancer prevention: APJCP. 2013;14(12):7551–4.

    Article  PubMed  Google Scholar 

  63. Li BS, Zhao YL, Guo G, Li W, Zhu ED, Luo X, Mao XH, Zou QM, Yu PW, Zuo QF, et al. Plasma microRNAs, miR-223, miR-21 and miR-218, as novel potential biomarkers for gastric cancer detection. PLoS One. 2012;7(7):e41629.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Ivo DUrso 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(5):304–11.

  65. Wang Q, Li P, Li A, Jiang W, Wang H, Wang J, Xie K. Plasma specific miRNAs as predictive biomarkers for diagnosis and prognosis of glioma. J Exp Clin Cancer Res. 2012;31:97.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  66. Guo X, Lv X, Lv X, Ma Y, Chen L, Chen Y. Circulating miR-21 serves as a serum biomarker for hepatocellular carcinoma and correlated with distant metastasis. Oncotarget. 2017;8(27):44050–8.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Pu C, Huang H, Wang Z, Zou W, Lv Y, Zhou Z, Zhang Q, Qiao L, Wu F, Shao S. Extracellular Vesicle-Associated mir-21 and mir-144 Are Markedly Elevated in Serum of Patients With Hepatocellular Carcinoma. Frontiers in physiology. 2018;9:930.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Zhou J, Yu L, Gao X, Hu J, Wang J, Dai Z, Wang JF, Zhang Z, Lu S, Huang X, et al. Plasma microRNA panel to diagnose hepatitis B virus-related hepatocellular carcinoma. Journal of clinical oncology: official journal of the American Society of Clinical Oncology. 2011;29(36):4781–8.

    Article  CAS  Google Scholar 

  69. Jones K, Nourse JP, Keane C, Bhatnagar A, Gandhi MK. Plasma microRNA are disease response biomarkers in classical Hodgkin lymphoma. Clin Cancer Res. 2014;20(1):253–64.

    Article  CAS  PubMed  Google Scholar 

  70. Nakka M, Allen-Rhoades W, Li Y, Kelly AJ, Shen J, Taylor AM, Barkauskas DA, Yustein JT, Andrulis IL, Wunder JS, et al. Biomarker significance of plasma and tumor miR-21, miR-221, and miR-106a in osteosarcoma. Oncotarget. 2017;8(57):96738–52.

    Article  PubMed  PubMed Central  Google Scholar 

  71. Yuan J, Chen L, Chen X, Sun W, Zhou X. Identification of serum microRNA-21 as a biomarker for chemosensitivity and prognosis in human osteosarcoma. J Int Med Res. 2012;40(6):2090–7.

    Article  CAS  PubMed  Google Scholar 

  72. Liu R, Chen X, Du Y, Yao W, Shen L, Wang C, Hu Z, Zhuang R, Ning G, Zhang C, et al. Serum microRNA expression profile as a biomarker in the diagnosis and prognosis of pancreatic cancer. Clinical chemistry. 2012;58(3):610–8.

    Article  CAS  PubMed  Google Scholar 

  73. Abue M, Yokoyama M, Shibuya R, Tamai K, Yamaguchi K, Sato I, Tanaka N, Hamada S, Shimosegawa T, Sugamura K, et al. Circulating miR-483-3p and miR-21 is highly expressed in plasma of pancreatic cancer. Int J Oncol. 2015;46(2):539–47.

    Article  CAS  PubMed  Google Scholar 

  74. Porzycki P, Ciszkowicz E, Semik M, Tyrka M. Combination of three miRNA (miR-141, miR-21, and miR-375) as potential diagnostic tool for prostate cancer recognition. Int Urol Nephrol. 2018;50(9):1619–26.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  75. Yaman Agaoglu F, Kovancilar M, Dizdar Y, Darendeliler E, Holdenrieder S, Dalay N, Gezer U. Investigation of miR-21, miR-141, and miR-221 in blood circulation of patients with prostate cancer. Tumour biology: the journal of the International Society for Oncodevelopmental Biology Medicine. 2011;32(3):583–8.

    Article  CAS  Google Scholar 

  76. Aalami AH, Abdeahad H, Mesgari M. Circulating miR-21 as a potential biomarker in human digestive system carcinoma: a systematic review and diagnostic meta-analysis. Biomarkers 2021:1–10.

  77. Ribas J, Ni X, Haffner M, Wentzel EA, Salmasi AH, Chowdhury WH, Kudrolli TA, Yegnasubramanian S, Luo J, Rodriguez R, et al. miR-21: an androgen receptor-regulated microRNA that promotes hormone-dependent and hormone-independent prostate cancer growth. Cancer Res. 2009;69(18):7165–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  78. Jazbutyte V, Thum T. MicroRNA-21: from cancer to cardiovascular disease. Curr Drug Targets. 2010;11(8):926–35.

    Article  CAS  PubMed  Google Scholar 

  79. McCall MN, Kim MS, Adil M, Patil AH, Lu Y, Mitchell CJ, Leal-Rojas P, Xu J, Kumar M, Dawson VL, et al. Toward the human cellular microRNAome. Genome Res. 2017;27(10):1769–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  80. Syring I, Bartels J, Holdenrieder S, Kristiansen G, Muller SC, Ellinger J. Circulating serum miRNA (miR-367-3p, miR-371a-3p, miR-372-3p and miR-373-3p) as biomarkers in patients with testicular germ cell cancer. J Urol. 2015;193(1):331–7.

    Article  CAS  PubMed  Google Scholar 

  81. Dieckmann KP, Radtke A, Geczi L, Matthies C, Anheuser P, Eckardt U, Sommer J, Zengerling F, Trenti E, Pichler R, et al. Serum Levels of MicroRNA-371a-3p (M371 Test) as a New Biomarker of Testicular Germ Cell Tumors: Results of a Prospective Multicentric Study. Journal of clinical oncology: official journal of the American Society of Clinical Oncology. 2019;37(16):1412–23.

    Article  CAS  Google Scholar 

  82. Halushka PV, Goodwin AJ, Halushka MK. Opportunities for microRNAs in the Crowded Field of Cardiovascular Biomarkers. Annual review of pathology. 2019;14:211–38.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

None to declare.

Funding

The authors are supported by grants 1R01HL137811 and R01GM130564 from the National Institutes of Health.

Author information

Authors and Affiliations

Authors

Contributions

MKH conceived of the review and wrote the manuscript. AEJ generated the table and assisted in the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Marc K. Halushka.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jenike, A.E., Halushka, M.K. miR-21: a non‐specific biomarker of all maladies. Biomark Res 9, 18 (2021). https://doi.org/10.1186/s40364-021-00272-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s40364-021-00272-1

Keywords