Subcellular expression of MTA1, HIF1A and p53 in primary tumor predicts aggressive triple negative breast cancers: a meta-analysis based study

J Mol Histol. 2024 Apr 13. doi: 10.1007/s10735-024-10190-9. Online ahead of print.

Abstract

Background: The prevalence of TNBC in India is higher compared to western countries. There is a multitude of biomarkers associated with different clinical outcomes of TNBC with contradictory reports. Identification of a set of specific biomarkers from the very many number of proteins reported in the literature to predict prognosis of TNBC is an urgent clinical need.

Methodology: A systematic review of key molecular biomarkers in cohort studies that have been investigated for their role in breast cancer prognosis was conducted. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology was followed. A meta-analysis was used to evaluate their pooled hazard ratio (HR) and the corresponding 95% confidence interval (95% CI) statistically. Immunohistochemical characterization of the meta-analyzed markers were performed in a cohort of 200 retrospective TNBC and 100 non TNBC patient tissues. Kaplan-Meier plot were used to evaluate disease free survival (DFS), and overall survival (OS). Cox regression models were used to evaluate predictors of DFS and OS.

Results: Using a meta-analytical approach, we consolidated the biomarker signatures associated with survival outcomes in breast cancers. The promising markers that emerged for the prediction of DFS and OS included E-Cadherin, Survivin, p53, MTA1, HIF1A, CD133, Vimentin and CK5/6. Evaluation of these markers in tumor tissue revealed that subcellular localization of p53, MTA1 and HIF1A had a significant association in predicting TNBC prognosis. Kaplan Meier plot revealed that p53 (OS p = 0.007, DFS p = 0.004), HIF 1 A (OS p = 0.054, DFS p = 0.009) and MTA1 (OS p = 0.043, DFS = p = 0.001) expression in the primary tumor tissue were found to be significantly correlated with poor OS and DFS, whereas expression of Survivin (DFS p = 0.024) and E Cadherin (DFS p = 0.027) correlated with DFS alone in TNBC. Univariate analysis revealed that p53, HIF1A and MTA1 could be independent prognostic markers.

Conclusion: Our study suggests cytoplasmic over expression of HIF1A, nuclear over expression of MTA1 and mutated p53 in the primary tumor tissue of TNBC have significance as markers predicting survival of TNBC patients.

Keywords: Hazard ratio; Meta-analysis; Prognosis; Survival; Triple negative breast cancer.