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Licensed Unlicensed Requires Authentication Published by De Gruyter May 3, 2023

Evidence-based procedures to improve the reliability of circulating miRNA biomarker assays

  • Sarah R. Greytak , Kelly B. Engel , Dave S.B. Hoon , Kevin M. Elias , Christina M. Lockwood , Ping Guan and Helen M. Moore EMAIL logo

Abstract

Circulating cell-free microRNAs (cfmiRNA) are an emerging class of biomarkers that have shown great promise in the clinical diagnosis, treatment, and monitoring of several pathological conditions, including cancer. However, validation and clinical implementation of cfmiRNA biomarkers has been hindered by the variability introduced during different or suboptimal specimen collection and handling practices. To address the need for standardization and evidence-based guidance, the National Cancer Institute (NCI) developed a new Biospecimen Evidenced-Based Practices (BEBP) document, entitled “Cell-free miRNA (cfmiRNA): Blood Collection and Processing”. The BEBP, the fourth in the document series, contains step-by-step procedural guidelines on blood collection, processing, storage, extraction, and quality assessment that are tailored specifically for cfmiRNA analysis of plasma and serum. The workflow outlined in the BEBP is based on the available literature and recommendations of an expert panel. The BEBP contains the level of detail required for development of evidence-based standard operating procedures (SOPs) as well as the flexibility needed to accomodate (i) discovery- and inquiry-based studies and (ii) the different constraints faced by research labs, industry, clinical and academic institutions to foster widespread implementation. Guidance from the expert panel also included recommendations on study design, validating changes in workflow, and suggested quality thresholds to delineate meaningful changes in cfmiRNA levels. The NCI cfmiRNA: Blood Collection and Processing BEBP is available here as supplementary information as well as through the NCI Biorepositories and Biospecimen Research Branch (BBRB) (https://biospecimens.cancer.gov/resources/bebp.asp).


Corresponding author: Helen M. Moore, Branch Chief, Biorepositories and Biospecimen Research Branch, Cancer Diagnosis Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, 9609 Medical Center Drive, MSC 9728, Bethesda, MD 20892, USA, Phone: (240) 276-5713, Fax: (240) 276-7889, E-mail:

Funding source: The Minnesota Ovarian Cancer Alliance

Funding source: The Mighty Moose Foundation

Funding source: Abcam, Inc

Funding source: Aspira Women's Health™

Funding source: National Cancer Institute

Funding source: The Honorable Tina Brozman Foundation

Funding source: Dr. Miriam and Sheldon Adelson Medical Foundation

Acknowledgments

Dr. D. Hoon would like to thank the Drs. Miriam and Sheldon Adelson Medical Foundation for supporting this work.

  1. Research funding: Dr. D. Hoon would like to thank the Dr. Miriam and Sheldon Adelson Medical Foundation for supporting his work. The Dr. Miriam and Sheldon Adelson Medical Foundation played no role in the analysis and interpretation of data, in the writing of the report or in the decision to submit the report for publication. Dr. K. Elias acknowledges research support from The Honorable Tina Brozman Foundation, the Minnesota Ovarian Cancer Alliance, the Mighty Moose Foundation, Abcam, Inc., and Aspira Women’s Health. These entities played no role in the analysis and interpretation of data, in the writing of the report or in the decision to submit the report for publication.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Dr. K. Elias is a co-inventor of a patent examining circulating miRNAs in ovarian cancer diagnostics.

  4. Informed consent: Not applicable.

  5. Ethical approval: Not applicable.

References

1. Javidi, MA, Ahmadi, AH, Bakhshinejad, B, Nouraee, N, Babashah, S, Sadeghizadeh, M. Cell-free microRNAs as cancer biomarkers: the odyssey of miRNAs through body fluids. Med Oncol 2014;31:295. https://doi.org/10.1007/s12032-014-0295-y.Search in Google Scholar PubMed

2. Kosaka, N, Iguchi, H, Yoshioka, Y, Takeshita, F, Matsuki, Y, Ochiya, T. Secretory mechanisms and intercellular transfer of microRNAs in living cells. J Biol Chem 2010;285:17442–52. https://doi.org/10.1074/jbc.m110.107821.Search in Google Scholar

3. Weber, JA, Baxter, DH, Zhang, S, Huang, DY, Huang, KH, Lee, MJ, et al.. The microRNA spectrum in 12 body fluids. Clin Chem 2010;56:1733–41. https://doi.org/10.1373/clinchem.2010.147405.Search in Google Scholar PubMed PubMed Central

4. 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. https://doi.org/10.1073/pnas.0804549105.Search in Google Scholar PubMed PubMed Central

5. He, Y, Lin, J, Kong, D, Huang, M, Xu, C, Kim, TK, et al.. Current state of circulating microRNAs as cancer biomarkers. Clin Chem 2015;61:1138–55. https://doi.org/10.1373/clinchem.2015.241190.Search in Google Scholar PubMed

6. Zhao, CH, Cheng, GC, He, RL, Hong, Y, Wan, QL, Wang, ZZ, et al.. Analysis and clinical significance of microRNA-499 expression levels in serum of patients with acute myocardial infarction. Genet Mol Res 2015;14:4027–34. https://doi.org/10.4238/2015.april.27.17.Search in Google Scholar

7. Vasu, S, Kumano, K, Darden, CM, Rahman, I, Lawrence, MC, Naziruddin, B. MicroRNA signatures as future biomarkers for diagnosis of diabetes states. Cells 2019;8:1533–64. https://doi.org/10.3390/cells8121533.Search in Google Scholar PubMed PubMed Central

8. Evangelatos, G, Fragoulis, GE, Koulouri, V, Lambrou, GI. MicroRNAs in rheumatoid arthritis: from pathogenesis to clinical impact. Autoimmun Rev 2019;18:102391. https://doi.org/10.1016/j.autrev.2019.102391.Search in Google Scholar PubMed

9. Salvi, V, Gianello, V, Tiberio, L, Sozzani, S, Bosisio, D. Cytokine targeting by miRNAs in autoimmune diseases. Front Immunol 2019;10:15. https://doi.org/10.3389/fimmu.2019.00015.Search in Google Scholar PubMed PubMed Central

10. Stoicea, N, Du, A, Lakis, DC, Tipton, C, Arias-Morales, CE, Bergese, SD. The miRNA journey from theory to practice as a CNS biomarker. Front Genet 2016;7:11. https://doi.org/10.3389/fgene.2016.00011.Search in Google Scholar PubMed PubMed Central

11. Bustos, MA, Gross, R, Rahimzadeh, N, Cole, H, Tran, LT, Tran, KD, et al.. A Pilot Study Comparing the efficacy of lactate dehydrogenase levels versus circulating cell-free microRNAs in monitoring responses to checkpoint inhibitor immunotherapy in metastatic melanoma patients. Cancers 2020;12:3361–78. https://doi.org/10.3390/cancers12113361.Search in Google Scholar PubMed PubMed Central

12. Nagasaka, M, Uddin, MH, Al-Hallak, MN, Rahman, S, Balasubramanian, S, Sukari, A, et al.. Liquid biopsy for therapy monitoring in early-stage non-small cell lung cancer. Mol Cancer 2021;20:82. https://doi.org/10.1186/s12943-021-01371-1.Search in Google Scholar PubMed PubMed Central

13. Konoshenko, M, Laktionov, P. The miRNAs involved in prostate cancer chemotherapy response as chemoresistance and chemosensitivity predictors. Andrology 2021;10:51–71. https://doi.org/10.1111/andr.13086.Search in Google Scholar PubMed

14. Ono, S, Oyama, T, Lam, S, Chong, K, Foshag, LJ, Hoon, DS. A direct plasma assay of circulating microRNA-210 of hypoxia can identify early systemic metastasis recurrence in melanoma patients. Oncotarget 2015;6:7053–64. https://doi.org/10.18632/oncotarget.3142.Search in Google Scholar PubMed PubMed Central

15. Valihrach, L, Androvic, P, Kubista, M. Circulating miRNA analysis for cancer diagnostics and therapy. Mol Aspect Med 2020;72:100825. https://doi.org/10.1016/j.mam.2019.10.002.Search in Google Scholar PubMed

16. Moldovan, L, Batte, KE, Trgovcich, J, Wisler, J, Marsh, CB, Piper, M. Methodological challenges in utilizing miRNAs as circulating biomarkers. J Cell Mol Med 2014;18:371–90. https://doi.org/10.1111/jcmm.12236.Search in Google Scholar PubMed PubMed Central

17. Fauth, M, Hegewald, AB, Schmitz, L, Krone, DJ, Saul, MJ. Validation of extracellular miRNA quantification in blood samples using RT-qPCR. FASEB Bioadv 2019;1:481–92. https://doi.org/10.1096/fba.2019-00018.Search in Google Scholar PubMed PubMed Central

18. Mussbacher, M, Krammer, TL, Heber, S, Schrottmaier, WC, Zeibig, S, Holthoff, HP, et al.. Impact of Anticoagulation and sample processing on the quantification of human blood-derived microRNA signatures. Cells 2020;9:1915–28. https://doi.org/10.3390/cells9081915.Search in Google Scholar PubMed PubMed Central

19. McDonald, JS, Milosevic, D, Reddi, HV, Grebe, SK, Algeciras-Schimnich, A. Analysis of circulating microRNA: preanalytical and analytical challenges. Clin Chem 2011;57:833–40. https://doi.org/10.1373/clinchem.2010.157198.Search in Google Scholar PubMed

20. Feng, X, Liu, Y, Wan, N. Plasma microRNA detection standardization test. J Clin Lab Anal 2019;34:e23058. https://doi.org/10.1002/jcla.23058.Search in Google Scholar PubMed PubMed Central

21. Marzi, MJ, Montani, F, Carletti, RM, Dezi, F, Dama, E, Bonizzi, G, et al.. Optimization and standardization of circulating microRNA detection for clinical application: the miR-Test case. Clin Chem 2016;62:743–54. https://doi.org/10.1373/clinchem.2015.251942.Search in Google Scholar PubMed

22. Murray, MJ, Watson, HL, Ward, DM, Bailey, S, Ferraresso, M, Nicholson, JC, et al.. Future-proofing’ blood processing for measurement of circulating microRNAs in samples from biobanks and prospective clinical trials. Cancer Epidemiol Biomarkers Prev 2017;27:208–18. https://doi.org/10.1158/1055-9965.EPI-17-0657.Search in Google Scholar PubMed PubMed Central

23. Dufourd, T, Robil, N, Mallet, D, Carcenac, C, Boulet, S, Brishoual, S, et al.. Plasma or serum? A qualitative study on rodents and humans using high-throughput microRNA sequencing for circulating biomarkers. Biol Methods Protoc 2019;4:bpz006. https://doi.org/10.1093/biomethods/bpz006.Search in Google Scholar PubMed PubMed Central

24. Kim, DJ, Linnstaedt, S, Palma, J, Park, JC, Ntrivalas, E, Kwak-Kim, JY, et al.. Plasma components affect accuracy of circulating cancer-related microRNA quantitation. J Mol Diagn 2012;14:71–80. https://doi.org/10.1016/j.jmoldx.2011.09.002.Search in Google Scholar PubMed PubMed Central

25. Zhelankin, AV, Iulmetova, LN, Sharova, EI. The impact of the anticoagulant type in blood collection tubes on circulating extracellular plasma microRNA profiles revealed by small RNA sequencing. Int J Mol Sci 2022;23:10340–63. https://doi.org/10.3390/ijms231810340.Search in Google Scholar PubMed PubMed Central

26. Li, Y, Jiang, Z, Xu, L, Yao, H, Guo, J, Ding, X. Stability analysis of liver cancer-related microRNAs. Acta Biochim Biophys Sin 2011;43:69–78. https://doi.org/10.1093/abbs/gmq114.Search in Google Scholar PubMed

27. Poel, D, Buffart, TE, Oosterling-Jansen, J, Verheul, HM, Voortman, J. Evaluation of several methodological challenges in circulating miRNA qPCR studies in patients with head and neck cancer. Exp Mol Med 2018;50:e454. https://doi.org/10.1038/emm.2017.288.Search in Google Scholar PubMed PubMed Central

28. Binderup, HG, Madsen, JS, Heegaard, NHH, Houlind, K, Andersen, RF, Brasen, CL. Quantification of microRNA levels in plasma - impact of preanalytical and analytical conditions. PLoS One 2018;13:e0201069. https://doi.org/10.1371/journal.pone.0201069.Search in Google Scholar PubMed PubMed Central

29. Ge, Q, Zhou, Y, Lu, J, Bai, Y, Xie, X, Lu, Z. miRNA in plasma exosome is stable under different storage conditions. Molecules 2014;19:1568–75. https://doi.org/10.3390/molecules19021568.Search in Google Scholar PubMed PubMed Central

30. Faraldi, M, Gomarasca, M, Sansoni, V, Perego, S, Banfi, G, Lombardi, G. Normalization strategies differently affect circulating miRNA profile associated with the training status. Sci Rep 2019;9:1584. https://doi.org/10.1038/s41598-019-38505-x.Search in Google Scholar PubMed PubMed Central

31. Gevaert, AB, Witvrouwen, I, Vrints, CJ, Heidbuchel, H, Van Craenenbroeck, EM, Van Laere, SJ, et al.. MicroRNA profiling in plasma samples using qPCR arrays: recommendations for correct analysis and interpretation. PLoS One 2018;13:e0193173. https://doi.org/10.1371/journal.pone.0193173.Search in Google Scholar PubMed PubMed Central

32. de Ronde MWJ, Ruijter, JM, Moerland, PD, Creemers, EE, Pinto-Sietsma, SJ. Study design and qPCR data analysis guidelines for reliable circulating miRNA biomarker experiments: a review. Clin Chem 2018;64:1308–18. https://doi.org/10.1373/clinchem.2017.285288.Search in Google Scholar PubMed

33. Babayan, A, Neumann, MHD, Herdean, A, Shaffer, JM, Janning, M, Kobus, F, et al.. Multicenter evaluation of independent high-throughput and RT-qPCR technologies for the development of analytical workflows for circulating miRNA analysis. Cancers (Basel) 2020;12:1166–77. https://doi.org/10.3390/cancers12051166.Search in Google Scholar PubMed PubMed Central

34. Hermann, S, Buschmann, D, Kirchner, B, Borrmann, M, Brandes, F, Kotschote, S, et al.. Transcriptomic profiling of cell-free and vesicular microRNAs from matched arterial and venous sera. J Extracell Vesicles 2019;8:1670935. https://doi.org/10.1080/20013078.2019.1670935.Search in Google Scholar PubMed PubMed Central

35. Blondal, T, Brunetto, MR, Cavallone, D, Mikkelsen, M, Thorsen, M, Mang, Y, et al.. Genome-wide comparison of next-generation gequencing and qPCR platforms for microRNA profiling in serum. Methods Mol Biol 2017;1580:21–44. https://doi.org/10.1007/978-1-4939-6866-4_3.Search in Google Scholar PubMed

36. Page, K, Guttery, DS, Zahra, N, Primrose, L, Elshaw, SR, Pringle, JH, et al.. Influence of plasma processing on recovery and analysis of circulating nucleic acids. PLoS One 2013;8:e77963. https://doi.org/10.1371/journal.pone.0077963.Search in Google Scholar PubMed PubMed Central

37. Murata, K, Yoshitomi, H, Tanida, S, Ishikawa, M, Nishitani, K, Ito, H, et al.. Plasma and synovial fluid microRNAs as potential biomarkers of rheumatoid arthritis and osteoarthritis. Arthritis Res Ther 2010;12:R86. https://doi.org/10.1186/ar3013.Search in Google Scholar PubMed PubMed Central

38. 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.Search in Google Scholar PubMed PubMed Central

39. International Organization of Standardization. ISO 21899 biotechnology- biobanking- general requirements for the validation and verification of processing methods for biological material in biobanks; 2020. Available from: https://www.iso.org/standard/72118.html.Search in Google Scholar

40. Blondal, T, Nielsen, SJ, Baker, A, Andreasen, D, Mouritzen, P, Teilum, MW, et al.. Assessing sample and miRNA profile quality in serum and plasma or other biofluids. Methods 2013;59:S1–6. https://doi.org/10.1016/j.ymeth.2012.09.015.Search in Google Scholar PubMed

41. Jenike, AE, Halushka, MK. miR-21: a non-specific biomarker of all maladies. Biomark Res 2021;9:18. https://doi.org/10.1186/s40364-021-00272-1.Search in Google Scholar PubMed PubMed Central


Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/cclm-2023-0131).


Received: 2023-02-03
Accepted: 2023-04-18
Published Online: 2023-05-03
Published in Print: 2024-01-26

© 2023 Walter de Gruyter GmbH, Berlin/Boston

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