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The impact of different preanalytical methods related to CA 15-3 determination in frozen human blood samples: a systematic review

期刊

SYSTEMATIC REVIEWS
卷 10, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s13643-021-01631-7

关键词

Frozen human blood; CA 15-3 determination; Preanalytical phase; Tumor biomarkers; Biochemical indicators

资金

  1. Italian Ministry of Health

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The analysis of current scientific literature reveals a significant level of heterogeneity in the preanalytical phase related to CA 15-3 determination in frozen-stored samples, with inconsistent reporting of freeze-thaw cycles and preanalytical variables.
Background The determination of CA 15-3 is useful for monitoring breast cancer patients. Several retrospective studies determined CA 15-3 levels in frozen samples to evaluate the sensitivity and specificity of novel biomarkers in relation to breast cancer; however, freeze-thaw cycles, as well as preanalytical variables before sample storage, are not always reported. Here, we analyzed the current scientific literature to identify possible critical aspects related to CA 15-3 determination in frozen-stored human serum/plasma samples. Methods We obtained data from 4 different bibliographic databases: Web of Science, Embase, PubMed, and Cochrane Library. We followed the PRISMA guidelines to screen and select the eligible articles discussed in the final revision. Results Initially, 674 scientific papers were evaluated, and after the application of the screening and eligibility criteria, 18 studies were included in the qualitative synthesis. The analysis reported an important level of heterogeneity concerning the preanalytical phase before sample storage. Conclusion Although advances in healthcare have been achieved using certified workflows in medical diagnostics, standardized preanalytical processes are not always applied when referring to frozen-stored biosamples. Biobanks will guarantee the best possible conditions for the storage of human biological samples to be used in clinical research. The use of certified bioresources will favor the optimal development and introduction of new disease biomarkers.

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