Literature DB >> 29791912

Differential Expression of MicroRNAs in Breast Cancers from Four Different Ethnicities.

Jennifer Pollard1, Phil A Burns1, Tom A Hughes1, Colan Ho-Yen2, J Louise Jones2, Geetashree Mukherjee3, Ganiat O Omoniyi-Esan4, Nicholas Akinwale Titloye5, Valerie Speirs1, Abeer M Shaaban6.   

Abstract

INTRODUCTION: Breast cancer outcomes vary across different ethnic groups. MicroRNAs (miRs) are small non-coding RNA molecules that regulate gene expression across a range of pathologies, including breast cancer. The aim of this study was to evaluate the presence and expression of miRs in breast cancer samples from different ethnic groups.
MATERIALS AND METHODS: Breast cancer tissue from 4 ethnic groups, i.e., British Caucasian, British Black, Nigerian, and Indian, were identified and matched for patients' age, tumour grade/type, and 10 × 10 µm sections taken. Tumour areas were macrodissected, total RNA was extracted, and cDNA was synthesised. cDNA was applied to human miScript PCR arrays allowing the quantification of 84 of the most abundantly expressed/best-characterised miRs.
RESULTS: Differential expression of 9 miRs was seen across the 4 groups. Significantly higher levels of miR-140-5p, miR-194 and miR-423-5p (the last of which harbours the single-nucleotide polymorphism rs6505162) were seen in the breast tumours of Nigerian patients when compared with other ethnic groups (all p < 0.0001). miR-101 was overexpressed in breast cancers in the Indian patients. An in silico analysis of miR-423-5p showed that the AC genotype is mainly associated with Europeans (57%), while Asians display mostly CC (approx. 60%), and Africans mainly AA (approx. 60%).
CONCLUSIONS: This study shows divergence in miR expression in breast cancers from different ethnic groups, and suggests that specific genetic variants in miR genes may affect breast cancer risk in these groups. Predicted targets of these miRs may uncover useful biomarkers that could have clinical value in breast cancers in different ethnic groups.
© 2018 S. Karger AG, Basel.

Entities:  

Keywords:  Breast cancer; Ethnic background; MicroRNA

Mesh:

Substances:

Year:  2018        PMID: 29791912     DOI: 10.1159/000488456

Source DB:  PubMed          Journal:  Pathobiology        ISSN: 1015-2008            Impact factor:   4.342


  7 in total

1.  Differences in plasma microRNA content impair microRNA-based signature for breast cancer diagnosis in cohorts recruited from heterogeneous environmental sites.

Authors:  Jeanne P Uyisenga; Ahmed Debit; Christophe Poulet; Pierre Frères; Aurélie Poncin; Jérôme Thiry; Leon Mutesa; Guy Jerusalem; Vincent Bours; Claire Josse
Journal:  Sci Rep       Date:  2021-06-03       Impact factor: 4.379

Review 2.  Global Inequities in Precision Medicine and Molecular Cancer Research.

Authors:  Thomas M Drake; Stephen R Knight; Ewen M Harrison; Kjetil Søreide
Journal:  Front Oncol       Date:  2018-09-04       Impact factor: 6.244

3.  Occupational exposure to volatile organic compounds affects microRNA profiling: Towards the identification of novel biomarkers.

Authors:  Renata Sisto; Pasquale Capone; Luigi Cerini; Enrico Paci; Daniela Pigini; Monica Gherardi; Andrea Gordiani; Nunziata L'Episcopo; Giovanna Tranfo; Pieranna Chiarella
Journal:  Toxicol Rep       Date:  2020-06-03

Review 4.  A Review of Cancer Genetics and Genomics Studies in Africa.

Authors:  Solomon O Rotimi; Oluwakemi A Rotimi; Bodour Salhia
Journal:  Front Oncol       Date:  2021-02-15       Impact factor: 5.738

5.  Involvement of microRNA-423 Gene Variability in Breast Cancer Progression in Saudi Arabia

Authors:  R Mir; I A Al Balawi; F M Abu Duhier
Journal:  Asian Pac J Cancer Prev       Date:  2018-09-26

Review 6.  Functional mechanism and clinical implications of MicroRNA-423 in human cancers.

Authors:  RuiSheng Ke; LiZhi Lv; SiYu Zhang; FuXing Zhang; Yi Jiang
Journal:  Cancer Med       Date:  2020-11-11       Impact factor: 4.452

Review 7.  Role of Precision Oncology in Type II Endometrial and Prostate Cancers in the African Population: Global Cancer Genomics Disparities.

Authors:  Rahaba Marima; Rodney Hull; Mandisa Mbeje; Thulo Molefi; Kgomotso Mathabe; Abdulrahman M Elbagory; Demetra Demetriou; Zodwa Dlamini
Journal:  Int J Mol Sci       Date:  2022-01-06       Impact factor: 5.923

  7 in total

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