Dec 13, 2024

Public workspaceNCI Biospecimen Evidence-Based Practices (BEBP) - Cell-free miRNA: Blood Collection and Processing

  • 1National Cancer Institute
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Protocol CitationNCI Biorepositories and Biospecimen Research Branch 2024. NCI Biospecimen Evidence-Based Practices (BEBP) - Cell-free miRNA: Blood Collection and Processing. protocols.io https://dx.doi.org/10.17504/protocols.io.kxygxy9rwl8j/v1
Manuscript citation:
Greytak SR, Engel KB, Hoon DSB, Elias K, Lockwood CM, Guan P, Moore HM (2023). Evidence-based procedures to improve the reliability of circulating miRNA biomarker assays. Clinical Chemistry and Laboratory Medicine. 62(1): 60-66. PMID 37129007.
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License,  which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
This document contains guidance that is intended to facilitate the development of evidence-based standard operating procedures.
Created: May 21, 2024
Last Modified: December 13, 2024
Protocol Integer ID: 100208
Keywords: microRNA, miRNA, plasma, serum, blood, preanalytic, cell-free miRNA, evidence-based, expert-vetted, cfmiRNA
Disclaimer
This document contains guidance that is intended to facilitate the development of evidence-based standard operating procedures.
Abstract
This evidence-based best practice document is applicable to the collection, processing, isolation, and storage of circulating cfmiRNA from plasma or serum that is intended for analysis in clinical and/or research settings; it does not include the requisite processing for analysis of exosomal miRNA. The ISO 21899.2020 standard (Reference 9.1.9) may be useful as a reference for validation and verification of SOPs produced using this BEBP.
Attachments
Guidelines
9.1.1 2007 Guideline for Isolation Precautions: Preventing Transmission of Infectious Agents in Healthcare Settings (CDC, 2007): http://www.cdc.gov/hicpac/2007IP/2007isolationPrecautions.html

9.1.2 Infection Prevention and Control Recommendations for Hospitalized Patients Under Investigation (PUIs) for Ebola Virus Disease (EVD) in U.S. Hospitals (CDC, 2014): http://www.cdc.gov/vhf/ebola/healthcare-us/hospitals/infectioncontrol.html

9.1.3 Interim Laboratory Biosafety Guidelines for Handling and Processing Specimens Associated with Coronavirus Disease 2019 (COVID-19) (CDC, 2020): https://www.cdc.gov/coronavirus/2019-ncov/lab/lab-biosafety-guidelines.html

9.1.4 Biorepositories and Biospecimen Research Branch, National Cancer Institute, National Institutes of Health. NCI Best Practices for Biospecimen Resources. 2016. https://biospecimens.cancer.gov/bestpractices/index.asp

9.1.5 CLSI (formerly NCCLS): Procedures for the collection of diagnostic blood specimens by venipuncture; Approved Standard - Sixth Edition. CLSI document H3-A6 (ISBN 1-56238-650-6). Clinical and Laboratory Standards Institute, 940 West Valley Road, Suite 1400, Wayne, Pennsylvania 19087-1898 USA, 2007.

9.1.6 Clinical Proteomic Tumor Analysis Consortium, Office of Cancer Clinical Proteomics Research, National Cancer Institute. Prospective Biospecimen Collection Protocol, Blood Collection and Processing for Plasma and Whole Cell Components. v 2.0. 2013.

9.1.7 HIPAA Authorization for Research
https://privacyruleandresearch.nih.gov/authorization.asp 9.1.8 Betsou, F. et al., Standard PREanalytical Code Version 3.0. Biopreservation and Biobanking 16, 9-12: 2018.

9.1.9 International Organization for Standardization. ISO 21899 Biotechnology- Biobanking- General requirements for the validation and verification of processing methods for biological material in biobanks. 2020.
Materials
5.1 Appropriate safety equipment as described in published guidelines (References 9.1.1, 9.1.2, and 9.1.5)
5.2 Plastic-backed absorbent bench paper
5.3 Blood collection tube of choice (See Sections 7.1 and 7.2 in the Attached PDF for LIterature Evidence)
5.4 Antiseptic wipes
5.5 Vacutainer needle (21-23 gauge) with hub or butterfly needle with Luer adapter
5.6 Tourniquet
5.7 Phlebotomy chair
5.8 Refrigerator (4°C)
5.9 Hi-speed centrifuge
5.10 Falcon tubes
5.11 Storage tubes, such as cryotubes, suitable for centrifugation, storage at -80°C, and amenable to waterproof labeling using barcodes or with unique identifiers. RNase-free tubes are suggested.
5.12 LoBind tubes
5.13 Pipettes and sterile RNase-free tips for transfer
5.14 Freezer (.-80°C) for long-term storage. A -30°C freezer is acceptable if the anticipated duration of frozen storage is <1 year.
Safety warnings
Universal Precautions (CDC-2007) and guidelines associated with Coronavirus Disease 2019 (COVID-19) and Ebola should be used for all phases of blood collection and processing, and cfmiRNA processing (Reference 9.1.1, 9.1.2 and 9.1.3).
Ethics statement
Protocols developed using this Biospecimen Evidence-Based Practice may require approval by the user’s institutional review board (IRB) or an equivalent ethics committee prior to implementation.
Before start
The purpose of this document is to provide evidence-based guidance for the proper collection and processing of cell-free microRNA (cfmiRNA) from human plasma and serum. This guidance is intended to support the development and execution of evidence-based Standard Operating Procedures (SOPs) for human biospecimen collection, processing, and storage.
Recording of biospecimen pre-acquisition data
Recording of biospecimen pre-acquisition data
Whenever possible, extensive data relating to preacquisition conditions that may affect the integrity of the biospecimen should be recorded. Such data must include patient information (including age, gender, fasting status, diagnosis, physical activity level, and treatment type(s) and date(s)) as well as details relating to biospecimen acquisition (including number of venipuncture attempts, patient position, tourniquet usage, and date and time of blood collection) (Guideline 9.1.4). When possible, the complete blood count of the blood specimen should be recorded as it may be informative in identifying potential sources of bias. Appropriate authorization by HIPAA or another pertinent regulatory agency and informed patient consent must be obtained prior to the collection of patient blood and data for research purposes (Guideline 9.1.7).
Label each collection tube with unique unambiguous identifiers, such that the tube can be readily matched to all relevant patient and specimen handling data (Guideline 9.1.4). Ensure that all labels are robust to all handling steps including but not limited to frozen storage, water, and commonly used solvents. The labeling scheme should accommodate the real-time documentation/recording of pre-analytical conditions (See 6.5.5 for additional details).
Collection tube considerations
Collection tube considerations
Collection tubes containing ethylenediaminetetraacetic acid (EDTA), sodium citrate, acid citrate dextrose (ACD), citrate-theophylline-adenosine-dipyridamole (CTAD), or sodium-fluoride/ potassium-oxalate (NaF/KOx) are acceptable for blood collection as are select proprietary tubes containing a preservative such as Streck cfDNA BCT, Roche Cell-Free tubes, or Norgen cfDNA/cfRNA tubes)(See Section 7.3 in the Attached PDF for Literature Evidence). When specimen processing within 1-2 h of collection is not possible, then use of preservative-containing collection tubes is preferred. Use of serum tubes may also be acceptable if processing is well-controlled (See Sections 7.2 and 8.3.2 in the Attached PDF for Literature Evidence and Expert Recommendations, respectively). Use of heparin, Streck RNA BCT, or PAXgene tubes is not advisable (See Section 7.3 in the Attached PDF for Literature Evidence). Optimally, tube choice should be validated during study design and remain consistent throughout the duration of the study. If changes to tube type are necessary, they must be validated in a pilot study as miRNA levels may differ between serum and plasma or among different anticoagulants (See Section 7.3 and 7.3 in the Attached PDF for Literature Evidence; See Section 8.3.2 in the Attached PDF for Expert Recommendations).
Blood collection tube choice may also be guided by specimen availability and the need to assess multiple analytes (cfmiRNA, cfDNA, etc.) from a single collection tube (See Section 8.3.1 in the Attached PDF for Expert Recommendations).
To ensure sufficient yield, ideally a minimum of Amount10 mL of blood per tube should be collected (Guideline 9.1.6). However, the total volume of blood required will depend on both the analytical method and the anticipated abundance of the cfmiRNA of interest. Consequently, smaller volumes may be sufficient. Care should be taken to avoid underfilling blood collection tubes containing an anticoagulant or preservative (See Section 8.3.3 in the Attached PDF for Expert Recommendations).

Blood Collection
Blood Collection
Blood collection after the subject has fasted for >6 h is preferred, as eating prior to venipuncture may result in a diet-specific increase in fatty acids in plasma/serum (See Section 8.3.3 in the Attached PDF for Expert Recommendations).
Blood collection tubes should be stored at TemperatureRoom temperature (20-24°C) unless otherwise indicated by the manufacturer (See Section 8.3.2 in the Attached PDF for Expert Recommendations).

The patient must be seated for at least Duration00:05:00 before venipuncture with the arm positioned on a slanting armrest such that there is a straight line from the shoulder to the wrist (Guideline 9.1.6).

Apply a tourniquet 3-4 inches above the venipuncture site (Guideline 9.1.5) with enough pressure to provide adequate vein visibility. Have the patient form a fist. Select the median, cubital, basilic, or cephalic veins for venipuncture (Guidelines 9.1.4 and 9.1.6). Collection from a port should be avoided (Guidelines 9.1.5 and 9.1.6). A vein imager should be used when available to improve venipuncture technique.
Clean the venipuncture site with an antiseptic wipe in a circular motion beginning at the insertion site (Guidelines 9.1.5 and 9.1.6) and allow to air dry. Once the skin is completely dried, anchor the vein by placing your thumb 2 inches below the site and pulling the skin taut to prevent the vein from moving (Guidelines 9.1.5 and 9.1.6).
Insert the 21-23 gauge butterfly needle (See Section 8.3.3 in the Attached PDF for Expert Recommendations) with Luer adapter into the vein at 30° angle and then push the evacuated tube into the hub or adapter (Guidelines 9.1.5 and 9.1.6).
Once blood flow is established, release the tourniquet (total elapsed tourniquet time should be <Duration00:01:00 ) (Guidelines 9.1.5 and 9.1.6) and ask the patient to open their hand.

Make sure that tube additives do not touch the stopper or the end of the needle during venipuncture (Guideline 9.1.6).
Non-cfmiRNA clinical specimens should be collected first (See Section 8.3.3 in the Attached PDF for Expert Recommendations). If no other blood specimens are being collected, discard the first 2-3 mL of blood prior to collecting blood specimens for cfmiRNA analysis (Guideline 9.1.6; See Section 8.3.3 in the Attached PDF for Expert Recommendations).
After completely filling the tube, immediately remove the tube leaving the needle inserted and slowly and gently invert the tube as recommended by the manufacturer for the tube type of choice (Guideline 9.1.6).
After filling the last collection tube, place gauze over the puncture site and remove the needle (Guideline 9.1.5).

Store anticoagulant and serum tubes containing blood specimens upright (Guideline 9.1.6) at TemperatureRoom temperature (20-25°C) (See Sections 7.4 and 7.5 in the Attached PDF for Literature Evidence; See Sections 8.3.4 and 8.3.5 in the Attached PDF for Expert Recommendations).

Processing Delay
Processing Delay
In most instances, blood specimens should be centrifuged as soon as possible, optimally within Duration02:00:00 of venipuncture (See Sections 7.4 and 7.5 in the Attached PDF for Literature Evidence; See Sections 8.3.4 and 8.3.5 in the Attached PDF for Expert Recommendations). However, if proprietary tubes containing a preservative are used, then a pre-centrifugation delay of 24-48 h at room temperature is acceptable (See Sections 7.3 and 8.3.4 in the Attached PDF for Literature Evidence and Expert Recommendations, respectively). Serum separator tubes should be processed immediately, but serum tubes relying on natural clot formation should be processed after 1 h at room temperature (See Section 8.3.5 in the Attached PDF for Expert Recommendations).

Regardless of tube type, agitation of blood should be minimized during a processing delay as hemolysis alters cfmiRNA levels (See Section 7.6 in the Attached PDF for Literature Evidence).
Blood Processing
Blood Processing
Centrifuge blood collection tubes using a protocol validated for the tube type (See Section 8.3.6 in the Attached PDF for Expert Recommendations). Acceptable centrifugation speeds and durations include the following ranges, 820-3500 x g for 1-20 min at 4°C or room temperature (See Section 7.7 in the Attached PDF for Literature Evidence).
Centrifigation
If a two-step centrifugation is desired transfer plasma or serum to a new Falcon tube (or an equivalent container), carefully leaving the buffy coat behind.
Further removal of platelets, white blood cells, and cellular debris can be achieved through a second centrifugation at 10,000-16,000 x g for Duration00:15:00 (See Section 7.8 in the Attached PDF for Literature Evidence) or filtration (See Sections 7.9 and 8.3.6 in the Attached PDF for Literature Evidence and Expert Recommendations, respectively). While the suitability of including a filtration or second centrifugation step will depend on the abundance of the miRNA of interest, a secondary processing step is generally recommended with the notable exceptions of miRNAs with low levels of expression and discovery-based studies (See Sections 7.9 and 7.8 in the Attached PDF for Literature Evidence; See Section 8.3.6 in the Attached PDF for Expert Recommendations).

Centrifigation
Serum and plasma specimens with evidence of hemolysis must be excluded from cfmiRNA analysis (See Section 7.6 in the Attached PDF for Literature Evidence). Hemolysis should be quantified by measurement of hemoglobin concentration or when possible, using the ratio of miR-23a to miR-452 or miR-451a (See Section 7.6 in the Attached PDF for Literature Evidence). Use of a spectrophotometer or other visual method is not recommended due to low detection sensitivity (See Section 7.6 in the Attached PDF for Literature Evidence). Residual platelet count should be enumerated by flow cytometry or an impedance-based method (See Section 7.7 in the Attached PDF for Literature Evidence; See Section 10.2 in the Attached PDF for Table 2).
Plasma or serum should be aliquoted into multiple tubes suitable for cryostorage at Temperature-80 °C . Generally, a plasma or serum aliquot of 100-1,000 μL is adequate for a single extraction using a proprietary kit; however, the volume of plasma or serum required will depend on several factors that include extraction method, assay, and anticipated cfmiRNA abundance. Aliquot volume should be chosen to optimize cfmiRNA detection and avoid multiple freeze-thaw cycles. Optimally tubes should be RNase-free. While a barcode labeling system is recommended, any clear and robust labeling system that can withstand frozen storage and common solvents is acceptable (See Section 8.3.7 in the Attached PDF for Expert Recommendations). The labeling system should accommodate annotation of the preanalytical conditions experienced by each aliquot; please consult the International Society for Biological and Environmental Repositories (ISBER)'s Sample PREanalytical Code (SPREC) as a comprehensive example of biospecimen documentation (Guideline 9.1.8).

Interim Plasma/Serum Storage (Note: not applicable for exosome analysis)
Interim Plasma/Serum Storage (Note: not applicable for exosome analysis)
Optimally, cfmiRNA analysis should be conducted immediately, whether after extraction or by direct analysis of plasma or serum (See Sections 7.10 and 7.11 in the Attached PDF for Literature Evidence; See Section 8.3.7 in the Attached PDF for Expert Recommendations). However, if immediate analysis is not possible, storage of plasma at room temperature or 4°C for up to 3 h, at -20°C for several months, or -80°C for years is acceptable for most cfmiRNA endpoints. Potential effects of each storage temperature should be carefully considered for the targeted miRNA(s); for example, effects associated with freeze-thaw cycling may be more severe than a pre-extraction delay at 4°C. Freeze-thaw cycling should be avoided (See Sections 7.12 and 8.3.8 in the Attached PDF for Literature Evidence and Expert Recommendations, respectively). Interim storage of serum should be avoided (See Sections 7.10 and 7.11 in the Attached PDF for Literature Evidence).
Optional
Pause
Frozen serum and plasma aliquots should be thawed on wet ice with occasional gentle mixing for the minimum time necessary (See Section 8.3.8 in the Attached PDF for Expert Recommendations).
Thawed serum and plasma should be thoroughly mixed and centrifuged at 1000-1600 x g for 1-2 min to pellet cryoglobulins immediately prior to miRNA extraction or analysis (See Sections 7.12 and 8.3.8 in the Attached PDF for Literature Evidence and Expert Recommendations, respectively).
Centrifigation
6.7 miRNA Extraction and Quantification
6.7 miRNA Extraction and Quantification
For analytical methods requiring extraction (See 8.3.9), a miRNA-specific commercial extraction kit is preferred, but phenol-chloroform based methods are acceptable (See Section 7.13 in the Attached PDF for Literature Evidence). The expert panel advises against the use of column-based extraction kits for miRNA discovery studies (See Section 8.3.9 in the Attached PDF for Expert Recommendations).
Optimally, analysis should be performed immediately following extraction (See Sections 7.14 and 8.3.10 in the Attached PDF for Literature Evidence and Expert Recommendations, respectively). Based on reports in the literature, interim storage of extracted miRNA or cDNA in low bind tubes at or below Temperature-80 °C may be acceptable for several months (See Section 7.14 in the Attached PDF for Literature Evidence). However, the expert panel advises that long-term storage should be limited to plasma/serum specimens, and if short-term storage of extracted miRNA is required then Tris buffer or ethanol should be used as the medium (See Section 8.3.10 in the Attached PDF for Expert Recommendations).

Pause
cfmiRNA levels quantified by real-time PCR should be expressed as an average quantification cycle (Cq) value relative to the Cq values of two or more constitutively expressed miRNA transcripts that display stable expression across the experimental conditions and disease states anticipated during the study (See Sections 7.15 and 8.3.11 in the Attached PDF for Literature Evidence and Expert Recommendations, respectively). Additionally, miRNA/RNA used in any assay can be quantified using capillary electrophoresis and/or fluorometric methods, but these methods are unacceptable if extraction included carrier RNA.
All analytical methods used should be evaluated for reproducibility and standardized to minimize platform-specific effects (See Sections 7.15 and 8.3.11 in the Attached PDF for Literature Evidence and Expert Recommendations, respectively). The ISO 21899.2020 standard (Guideline 9.1.9) may be useful as a reference for further validation and verification.
Protocol references
References considered during the development of this NCI BEBP document are listed below (also See Section 9.2 in the Attached PDF) and include hyperlinks to the PubMed abstract and NCI Biospecimen Research Database curation where applicable. References are cited within the Summaries of Literature Evidence (See Section 7.0) in the Attached PDF.

1. Ammerlaan, W. and F. Betsou, Intraindividual Temporal miRNA Variability in Serum, Plasma, and White Blood Cell Subpopulations. Biopreserv Biobank, 2016. 14(5): p. 390-397.

2. Sanz-Rubio, D., et al., Stability of Circulating Exosomal miRNAs in Healthy Subjects. Sci Rep, 2018. 8(1): p. 10306.

3. Sheinerman, K., et al., Age- and sex-dependent changes in levels of circulating brain-enriched microRNAs during normal aging. Aging (Albany NY), 2018. 10(10): p. 3017-3041.

4. Hatse, S., et al., Circulating MicroRNAs as easy-to-measure aging biomarkers in older breast cancer patients: correlation with chronological age but not with fitness/frailty status. PLoS One, 2014. 9(10): p. e110644.

5. Fichtlscherer, S., et al., Circulating microRNAs in patients with coronary artery disease. Circ Res, 2010. 107(5): p. 677-84.

6. Wang, K., et al., Comparing the MicroRNA spectrum between serum and plasma. PLoS One, 2012. 7(7): p. e41561.

7. Feng, X., Y. Liu, and N. Wan, Plasma microRNA detection standardization test. J Clin Lab Anal, 2019. 34(2): p. e23058.

8. Springer, C.B., et al., Circulating MicroRNA Responses to Postprandial Lipemia with or without Prior Exercise. Int J Sports Med, 2021.

9. Marzi, M.J., et al., Optimization and Standardization of Circulating MicroRNA Detection for Clinical Application: The miR-Test Case. Clin Chem, 2016. 62(5): p. 743-54.

10. MacLellan, S.A., et al., Pre-profiling factors influencing serum microRNA levels. BMC Clin Pathol, 2014. 14: p. 27.

11. Kupec, T., et al., Stability of circulating microRNAs in serum. PLoS One, 2022. 17(8): p. e0268958.

12. Chalchat, E., et al., Circulating microRNA levels after exercise-induced muscle damage and the repeated bout effect. Am J Physiol Regul Integr Comp Physiol, 2022.

13. Cheng, H.H., et al., Plasma Processing Conditions Substantially Influence Circulating microRNA Biomarker Levels. PLoS One, 2013. 8(6): p. e64795.

14. Willeit, P., et al., Circulating microRNAs as novel biomarkers for platelet activation. Circ Res, 2013. 112(4): p. 595-600.

15. Foye, C., et al., Comparison of miRNA quantitation by Nanostring in serum and plasma samples. PLoS One, 2017. 12(12): p. e0189165.

16. Murray, M.J., 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(2): p. 208-218.

17. Tanriverdi, K., et al., Comparison of RNA isolation and associated methods for extracellular RNA detection by high-throughput quantitative polymerase chain reaction. Anal Biochem, 2016. 501: p. 66-74.

18. McDonald, J.S., et al., Analysis of Circulating MicroRNA: Preanalytical and Analytical Challenges. Clin Chem, 2011. 57(6): p. 833-40.

19. Fauth, M., et al., Validation of extracellular miRNA quantification in blood samples using RT-qPCR. FASEB Bioadv, 2019. 1(8): p. 481-492.

20. Parker, V.L., et al., Profiling microRNAs in uncomplicated pregnancies: Serum vs. plasma. Biomed Rep, 2021. 14(2): p. 24.

21. Shiotsu, H., et al., The Influence of Pre-analytical Factors on the Analysis of Circulating MicroRNA. Microrna, 2018.

22. Mompeón, A., et al., Disparate miRNA expression in serum and plasma of patients with acute myocardial infarction: a systematic and paired comparative analysis. Sci Rep, 2020. 10(1): p. 5373.

23. Mitchell, P.S., et al., Circulating microRNAs as stable blood-based markers for cancer detection. Proc Natl Acad Sci U S A, 2008. 105(30): p. 10513-8.

24. Basso, D., et al., Relevance of pre-analytical blood management on the emerging cardiovascular protein biomarkers TWEAK and HMGB1 and on miRNA serum and plasma profiling. Clin Biochem, 2017. 50(4-5): p. 186-193.

25. Kim, D.J., et al., Plasma components affect accuracy of circulating cancer-related microRNA quantitation. J Mol Diagn, 2012. 14(1): p. 71-80.

26. Glinge, C., et al., Stability of Circulating Blood-Based MicroRNAs - Pre-Analytic Methodological Considerations. PLoS One, 2017. 12(2): p. e0167969.

27. Ward Gahlawat, A., et al., Evaluation of Storage Tubes for Combined Analysis of Circulating Nucleic Acids in Liquid Biopsies. Int J Mol Sci, 2019. 20(3).

28. Mussbacher, M., et al., Impact of Anticoagulation and Sample Processing on the Quantification of Human Blood-Derived microRNA Signatures. Cells, 2020. 9(8): p. 1915.

29. Suzuki, K., et al., Establishment of preanalytical conditions for microRNA profile analysis of clinical plasma samples. PLoS One, 2022. 17(12): p. e0278927.

30. Faraldi, M., et al., Study of the preanalytical variables affecting the measurement of clinically relevant free-circulating microRNAs: focus on sample matrix, platelet depletion, and storage conditions. Biochem Med (Zagreb), 2020. 30(1): p. 010703.

31. Zhelankin, A.V., L.N. Iulmetova, and E.I. Sharova, 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(18): p. 10340.

32. Olaya, L.F., J.A. Hyett, and S.V. McLennan, Effects of sample processing and storage on the integrity of cell-free miRNAs in maternal plasma. Prenat Diagn, 2017. 37(8): p. 744-749.

33. Poel, D., et al., Evaluation of several methodological challenges in circulating miRNA qPCR studies in patients with head and neck cancer. Exp Mol Med, 2018. 50(3): p. e454.

34. Kim, S.H., et al., Whole Blood Holding Time Prior to Plasma Processing Alters microRNA Expression Profile. Front Genet, 2021. 12: p. 818334.

35. Rice, J., et al., Assay reproducibility in clinical studies of plasma miRNA. PLoS One, 2015. 10(4): p. e0121948.

36. Wu, C.S., et al., Optimized Collection Protocol for Plasma MicroRNA Measurement in Patients with Cardiovascular Disease. Biomed Res Int, 2016. 2016: p. 2901938.

37. Borges, D.P., et al., Impact of Delayed Whole Blood Processing Time on Plasma Levels of miR-1 and miR-423-5p up to 24 Hours. Microrna, 2018.

38. Sun, J., et al., Evaluating the Effects of Storage Conditions on Multiple Cell-Free RNAs in Plasma by High-Throughput Sequencing. Biopreserv Biobank, 2022.

39. Zhao, H., et al., Effects of Preanalytic Variables on Circulating MicroRNAs in Whole Blood. Cancer Epidemiol Biomarkers Prev, 2014. 23(12): p. 2643-8.

40. Benson, E.A. and T.C. Skaar, Incubation of whole blood at room temperature does not alter the plasma concentrations of microRNA-16 and -223. Drug Metab Dispos, 2013. 41(10): p. 1778-81.

41. Pritchard, C.C., et al., Blood cell origin of circulating microRNAs: a cautionary note for cancer biomarker studies. Cancer Prev Res (Phila), 2012. 5(3): p. 492-7.

42. Kirschner, M.B., et al., The Impact of Hemolysis on Cell-Free microRNA Biomarkers. Front Genet, 2013. 4: p. 94.

43. Kirschner, M.B., et al., Haemolysis during sample preparation alters microRNA content of plasma. PLoS One, 2011. 6(9): p. e24145.

44. Smith, M.D., et al., Haemolysis Detection in MicroRNA-Seq from Clinical Plasma Samples. Genes (Basel), 2022. 13(7).

45. Köberle, V., et al., Differential stability of cell-free circulating microRNAs: implications for their utilization as biomarkers. PLoS One, 2013. 8(9): p. e75184.

46. Blondal, T., et al., Assessing sample and miRNA profile quality in serum and plasma or other biofluids. Methods, 2013. 59(1): p. S1-6.

47. Page, K., et al., Influence of plasma processing on recovery and analysis of circulating nucleic acids. PLoS One, 2013. 8(10): p. e77963.

48. Binderup, H.G., et al., Pre-storage centrifugation conditions have significant impact on measured microRNA levels in biobanked EDTA plasma samples. Biochem Biophys Rep, 2016. 7: p. 195-200.

49. Mitchell, A.J., et al., Platelets confound the measurement of extracellular miRNA in archived plasma. Sci Rep, 2016. 6: p. 32651.

50. Gevaert, A.B., et al., MicroRNA profiling in plasma samples using qPCR arrays: Recommendations for correct analysis and interpretation. PLoS One, 2018. 13(2): p. e0193173.

51. Ramón-Núñez, L.A., et al., Comparison of protocols and RNA carriers for plasma miRNA isolation. Unraveling RNA carrier influence on miRNA isolation. PLoS One, 2017. 12(10): p. e0187005.

52. Dypås, L.B., et al., MiRNA profiles in blood plasma from mother-child duos in human biobanks and the implication of sample quality: Circulating miRNAs as potential early markers of child health. PLoS One, 2020. 15(4): p. e0231040.

53. Ramzan, F., et al., Comprehensive Profiling of the Circulatory miRNAome Response to a High Protein Diet in Elderly Men: A Potential Role in Inflammatory Response Modulation. Mol Nutr Food Res, 2019. 63(8): p. e1800811.

54. Kloten, V., et al., Multicentric Evaluation of Circulating Plasma MicroRNA Extraction Technologies for the Development of Clinically Feasible Reverse Transcription Quantitative PCR and Next-Generation Sequencing Analytical Work Flows. Clin Chem, 2019.

55. Binderup, H.G., et al., Quantification of microRNA in plasma using probe based TaqMan assays: is microRNA purification required? BMC Res Notes, 2019. 12(1): p. 261.

56. Streleckiene, G., et al., Effects of Quantification Methods, Isolation Kits, Plasma Biobanking, and Hemolysis on Cell-Free DNA Analysis in Plasma. Biopreserv Biobank, 2019.

57. Wang, S., et al., Exosomal MicroRNAs as Liquid Biopsy Biomarkers in Hepatocellular Carcinoma. Onco Targets Ther, 2020. 13: p. 2021-2030.

58. Moon, S., et al., Enrichment of Exosome-Like Extracellular Vesicles from Plasma Suitable for Clinical Vesicular miRNA Biomarker Research. J Clin Med, 2019. 8(11).

59. Binderup, H.G., et al., Quantification of microRNA levels in plasma - Impact of preanalytical and analytical conditions. PLoS One, 2018. 13(7): p. e0201069.

60. Tan, K.M.L., et al., Improved Discrimination of Patients with Breast Cancer from Healthy Controls Using Paper-Based microRNA Expression Profiling of Plasma, Following Precipitation. Clin Chem, 2017. 63(12): p. 1899-1901.

61. Zheng, X.H., et al., Centrifugation: an important pre-analytic procedure that influences plasma microRNA quantification during blood processing. Chin J Cancer, 2013. 32(12): p. 667-72.

62. Faraldi, M., et al., Normalization strategies differently affect circulating miRNA profile associated with the training status. Sci Rep, 2019. 9(1): p. 1584.

63. Muth, D.C., et al., miRNAs in platelet-poor blood plasma and purified RNA are highly stable: a confirmatory study. BMC Res Notes, 2018. 11(1): p. 273.

64. Aiso, T., et al., ANNALS EXPRESS: Degradation of serum microRNAs during transient storage of serum samples at 4°C. Ann Clin Biochem, 2018. 55(1): p. 178-180.

65. Myklebust, M.P., et al., Quantitative PCR Measurement of miR-371a-3p and miR-372-p Is Influenced by Hemolysis. Front Genet, 2019. 10: p. 463.

66. Vogt, J., et al., Variance component analysis of circulating miR-122 in serum from healthy human volunteers. PLoS One, 2019. 14(7): p. e0220406.

67. Hermann, S., et al., Transcriptomic profiling of cell-free and vesicular microRNAs from matched arterial and venous sera. J Extracell Vesicles, 2019. 8(1): p. 1670935.

68. Trakunram, K., et al., MicroRNA Isolation by Trizol-Based Method and Its Stability in Stored Serum and cDNA Derivatives. Asian Pac J Cancer Prev, 2019. 20(6): p. 1641-1647.

69. Brunet-Vega, A., et al., Variability in microRNA recovery from plasma: Comparison of five commercial kits. Anal Biochem, 2015. 488: p. 28-35.

70. Xue, V.W., et al., The Effect of Centrifugal Force in Quantification of Colorectal Cancer-Related mRNA in Plasma Using Targeted Sequencing. Front Genet, 2018. 9: p. 165.

71. Duttagupta, R., et al., Impact of cellular miRNAs on circulating miRNA biomarker signatures. PLoS One, 2011. 6(6): p. e20769.

72. Li, Y., et al., Stability analysis of liver cancer-related microRNAs. Acta Biochim Biophys Sin (Shanghai), 2011. 43(1): p. 69-78.

73. Ge, Q., et al., miRNA in plasma exosome is stable under different storage conditions. Molecules, 2014. 19(2): p. 1568-75.

74. Sourvinou, I.S., A. Markou, and E.S. Lianidou, Quantification of Circulating miRNAs in Plasma: Effect of Preanalytical and Analytical Parameters on Their Isolation and Stability. J Mol Diagn, 2013. 15(6): p. 827-34.

75. Warnement, C.M., M.J. Cismowski, and L.K. Rogers, Optimizing miR-29 measurements in biobanked, heparinized samples. Life Sci, 2019: p. 116894.

76. Balzano, F., et al., miRNA Stability in Frozen Plasma Samples. Molecules, 2015. 20(10): p. 19030-40.

77. Grasedieck, S., et al., Impact of serum storage conditions on microRNA stability. Leukemia, 2012. 26(11): p. 2414-6.

78. Murata, K., et al., Plasma and synovial fluid microRNAs as potential biomarkers of rheumatoid arthritis and osteoarthritis. Arthritis Res Ther, 2010. 12(3): p. R86.

79. Farina, N.H., et al., Standardizing analysis of circulating microRNA: clinical and biological relevance. J Cell Biochem, 2014. 115(5): p. 805-11.

80. Matias-Garcia, P.R., et al., Impact of long-term storage and freeze-thawing on eight circulating microRNAs in plasma samples. PLoS One, 2020. 15(1): p. e0227648.

81. Gilad, S., et al., Serum microRNAs are promising novel biomarkers. PLoS One, 2008. 3(9): p. e3148.

82. Xiang, M., et al., U6 is not a suitable endogenous control for the quantification of circulating microRNAs. Biochem Biophys Res Commun, 2014. 454(1): p. 210-4.

83. Bustos, M.A., 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 (Basel), 2020. 12(11): p. 3361.

84. Tran, K.D., et al., Assessment of Cell-Free microRNA by NGS Whole-Transcriptome Analysis in Cutaneous Melanoma Patients' Blood. Methods Mol Biol, 2021. 2265: p. 475-486.

85. Ono, S., et al., A direct plasma assay of circulating microRNA-210 of hypoxia can identify early systemic metastasis recurrence in melanoma patients. Oncotarget, 2015. 6(9): p. 7053-64.

86. Asaga, S., et al., Direct serum assay for microRNA-21 concentrations in early and advanced breast cancer. Clin Chem, 2011. 57(1): p. 84-91.

87. Sedlackova, T., G. Repiska, and G. Minarik, Selection of an optimal method for co-isolation of circulating DNA and miRNA from the plasma of pregnant women. Clin Chem Lab Med, 2014. 52(11): p. 1543-8.

88. Li, X., M. Mauro, and Z. Williams, Comparison of plasma extracellular RNA isolation kits reveals kit-dependent biases. Biotechniques, 2015. 59(1): p. 13-7.

89. Sriram, H., et al., Improved protocol for plasma microRNA extraction and comparison of commercial kits. Biochem Med (Zagreb), 2021. 31(3): p. 030705.

90. Moret, I., et al., Assessing an improved protocol for plasma microRNA extraction. PLoS One, 2013. 8(12): p. e82753.

91. Parker, V.L., et al., Comparison and optimisation of microRNA extraction from the plasma of healthy pregnant women. Mol Med Rep, 2021. 23(4).

92. Wong, R.K.Y., et al., A comparison of RNA extraction and sequencing protocols for detection of small RNAs in plasma. BMC Genomics, 2019. 20(1): p. 446.

93. Roest, H.P., J.N.M. IJzermans, and L.J.W. van der Laan, Evaluation of RNA isolation methods for microRNA quantification in a range of clinical biofluids. BMC Biotechnol, 2021. 21(1): p. 48.

94. Bravo, V., et al., Instability of miRNA and cDNAs derivatives in RNA preparations. Biochem Biophys Res Commun, 2007. 353(4): p. 1052-5.

95. de Gonzalo-Calvo, D., et al., Consensus guidelines for the validation of qRT-PCR assays in clinical research by the CardioRNA consortium. Mol Ther Methods Clin Dev, 2022. 24: p. 171-180.

96. Chekka, L.M.S., T. Langaee, and J.A. Johnson, Comparison of Data Normalization Strategies for Array-Based MicroRNA Profiling Experiments and Identification and Validation of Circulating MicroRNAs as Endogenous Controls in Hypertension. Front Genet, 2022. 13: p. 836636.

97. Landry, P., et al., Existence of a microRNA pathway in anucleate platelets. Nat Struct Mol Biol, 2009. 16(9): p. 961-6.

98. Nagalla, S., et al., Platelet microRNA-mRNA coexpression profiles correlate with platelet reactivity. Blood, 2011. 117(19): p. 5189-97.

99. Stratz, C., et al., Micro-array profiling exhibits remarkable intra-individual stability of human platelet micro-RNA. Thromb Haemost, 2012. 107(4): p. 634-41.

100. Osman, A. and K. Fälker, Characterization of human platelet microRNA by quantitative PCR coupled with an annotation network for predicted target genes. Platelets, 2011. 22(6): p. 433-41.

Acknowledgements
We thank Dr. Kevin Elias (Brigham And Women's Hospital, MA), Dr. Dave Hoon (Saint Johns’ Cancer Institute, CA), and Dr. Tina Lockwood (University of Washington, WA) for their participation on the expert panel and their insightful recommendations.