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Published in: Cancer and Metastasis Reviews 1/2018

01-03-2018

MiR-181 family-specific behavior in different cancers: a meta-analysis view

Authors: Cecilia Pop-Bica, Sebastian Pintea, Roxana Cojocneanu-Petric, Giannino Del Sal, Silvano Piazza, Zhao-Hui Wu, Alvaro J. Alencar, Izidore S. Lossos, Ioana Berindan-Neagoe, George A. Calin

Published in: Cancer and Metastasis Reviews | Issue 1/2018

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Abstract

The involvement of microRNAs in malignant transformation and cancer progression was previously grounded. The observations made by multiple published studies led to the conclusion that some of these small sequences could be eventually used as biomarkers for diagnosis/prognosis. This meta-analysis investigated whether microRNA-181 family members could predict the outcome of patients carrying different types of cancer. We searched the PubMed and Embase databases for studies evaluating the expression levels of miR-181a/b/c/d in patients with cancer, selecting the publications that assessed the relation between low and high levels of one of these four microRNAs and patients’ outcome. Hazard ratios (HRs) or risk ratios (RRs) were extracted from the studies, and random-effect model was performed to investigate the role of miR-181 in the outcome of these patients. The meta-analysis comprised 26 studies including 2653 cancer patients from 6 countries. The results showed significant association between the expression of miR-181 family members and colorectal cancer. Considering the heterogeneity of the pathologies, the analysis, including all types of cancer and the expression of all the miR-181 family members together, showed no association with distinct outcome (HR = 1.099, p = 0.435). When the analysis was performed on each microRNA separately, the expression of miR-181c was significantly associated with the outcome of patients with cancer (HR = 2.356, p = 0.011) and miR-181a expression levels significantly correlated with survival in patients with non-small-cell lung cancer (HR = 0.177, p < 0.05). This meta-analysis revealed evidence regarding the involvement of miR-181 family members in the outcome of patients with some types of cancer, according to their expression level.
Literature
5.
go back to reference Xi, X., Li, T., Huang, Y., Sun, J., Zhu, Y., Yang, Y., et al. (2017). RNA biomarkers: frontier of precision medicine for cancer. Non-Coding RNA, 3(1), 9.CrossRef Xi, X., Li, T., Huang, Y., Sun, J., Zhu, Y., Yang, Y., et al. (2017). RNA biomarkers: frontier of precision medicine for cancer. Non-Coding RNA, 3(1), 9.CrossRef
17.
go back to reference Xi, Y., Formentini, A., Chien, M., Weir, D. B., Russo, J. J., Ju, J., et al. (2006). Prognostic values of microRNAs in colorectal cancer. Biomarker Insights, 2, 113–121.PubMed Xi, Y., Formentini, A., Chien, M., Weir, D. B., Russo, J. J., Ju, J., et al. (2006). Prognostic values of microRNAs in colorectal cancer. Biomarker Insights, 2, 113–121.PubMed
36.
go back to reference Petrillo, M., Zannoni, G. F., Beltrame, L., Martinelli, E., DiFeo, A., Paracchini, L., et al. (2016). Identification of high-grade serous ovarian cancer miRNA species associated with survival and drug response in patients receiving neoadjuvant chemotherapy: a retrospective longitudinal analysis using matched tumor biopsies. Annals of Oncology, 27(4), 625–634. https://doi.org/10.1093/annonc/mdw007.CrossRefPubMed Petrillo, M., Zannoni, G. F., Beltrame, L., Martinelli, E., DiFeo, A., Paracchini, L., et al. (2016). Identification of high-grade serous ovarian cancer miRNA species associated with survival and drug response in patients receiving neoadjuvant chemotherapy: a retrospective longitudinal analysis using matched tumor biopsies. Annals of Oncology, 27(4), 625–634. https://​doi.​org/​10.​1093/​annonc/​mdw007.CrossRefPubMed
45.
go back to reference Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta-analysis: John Wiley & Sons, Ltd. Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta-analysis: John Wiley & Sons, Ltd.
46.
go back to reference Card, N. A. (2012). Applied meta-analysis for social science research. New York: Guilford Prese. Card, N. A. (2012). Applied meta-analysis for social science research. New York: Guilford Prese.
68.
go back to reference Gupta, A., Sharma, A., Yadav, A., Rastogi, N., Agrawal, S., Kumar, A., et al. (2015). Evaluation of miR-27a, miR-181a, and miR-570 genetic variants with gallbladder cancer susceptibility and treatment outcome in a North Indian population. Molecular Diagnosis & Therapy, 19(5), 317–327. https://doi.org/10.1007/s40291-015-0159-y.CrossRef Gupta, A., Sharma, A., Yadav, A., Rastogi, N., Agrawal, S., Kumar, A., et al. (2015). Evaluation of miR-27a, miR-181a, and miR-570 genetic variants with gallbladder cancer susceptibility and treatment outcome in a North Indian population. Molecular Diagnosis & Therapy, 19(5), 317–327. https://​doi.​org/​10.​1007/​s40291-015-0159-y.CrossRef
Metadata
Title
MiR-181 family-specific behavior in different cancers: a meta-analysis view
Authors
Cecilia Pop-Bica
Sebastian Pintea
Roxana Cojocneanu-Petric
Giannino Del Sal
Silvano Piazza
Zhao-Hui Wu
Alvaro J. Alencar
Izidore S. Lossos
Ioana Berindan-Neagoe
George A. Calin
Publication date
01-03-2018
Publisher
Springer US
Published in
Cancer and Metastasis Reviews / Issue 1/2018
Print ISSN: 0167-7659
Electronic ISSN: 1573-7233
DOI
https://doi.org/10.1007/s10555-017-9714-9

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