The Significance of Erythroblast Transformation Specific (Ets) Transcription Factors in Breast Cancer Progression: A Meta-Analysis | [Pakistan Journal of Zoology • 2023]

Author(s):

1. Sidra Mumtaz: Department of Zoology, GC university,Lahore,Pakistan

2. Sidra Arshad: Department of Zoology, GC university,Lahore,Pakistan

3. Rizwan Ullah Khan: Department of Zoology, GC university,Lahore,Pakistan

4. Muhammad Usman Rashid: Basic Sciences Department, Shaukat Khanum Memorial Cancer Hospital and Research Center,Lahore,Pakistan

5. Naila Malkani: Department of Zoology, GC university,Lahore,Pakistan

Abstract:

Numerous studies have identified members of the erythroblast transformation specific (Ets) transcription factors family showing aberrant expression in various stages of tumor formation in breast tissue. However, their use as a prognostic factor is not very clear. Therefore, a meta-analysis was performed to analyze their aberrant expression in breast tumorigenesis. A thorough literature search was performed and 73 relevant studies were identified which were further scrutinized and finally 26 studies covering 4553 subjects were included for analysis. A random efect model was applied and correlation was calculated using odds ratios (OR) at 95% confidence intervals (CI). Combined OR calculated showed a significant relation between Ets factor expression and breast cancer risk (OR=3.185, 95% CI=2.161-4.69, p<0.001). In subgroup analysis, Ets-1 overexpression was found highly associated (OR=2.149, 95% CI=1.141-4.048, p= 0.018) with breast cancer as compared to other Ets factors. Funnel plots confirmed no publication bias. Our study suggested Ets overexpression (especially Ets-1) might indicate an increased progression rate of breast cancer. However, to make a conclusive statement further in vitro and in vivo investigations and clinical trials are needed.

Page(s): 2975-2982

DOI: 10.17582/journal.pjz/20220119060146

Published: Journal: Pakistan Journal of Zoology, Volume: 55, Issue: 6, Year: 2023

Keywords:

Breast Cancer , Metaanalysis , random efect model , Ets1 , Ets transcription factors

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