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DNA repair prognostic index modelling reveals an essential role for base excision repair in influencing clinical outcomes in ER negative and triple negative breast cancers

Abdel-Fatah, Tarek M.A.; Arora, Arvind; Moseley, Paul M.; Perry, Christina; Rakha, Emad A.; Green, Andrew R.; Chan, Stephen Y.T.; Ellis, Ian O.; Madhusudan, Srinivasan

Authors

Tarek M.A. Abdel-Fatah

Arvind Arora

Paul M. Moseley

Christina Perry

EMAD RAKHA Emad.Rakha@nottingham.ac.uk
Professor of Breast Cancer Pathology

Stephen Y.T. Chan



Abstract

Stratification of oestrogen receptor (ER) negative and triple negative breast cancers (TNBCs) is urgently needed. In the current study, a cohort of 880 ER- (including 635 TNBCs) was immuno-profiled for a panel of DNA repair proteins including: Pol β, FEN1, APE1, XRCC1, SMUG1, PARP1, BRCA1, ATR, ATM, DNA-PKcs, Chk1, Chk2, p53, and TOPO2. Multivariate Cox proportional hazards models (with backward stepwise exclusion of these factors, using a criterion of p < 0.05 for retention of factors in the model) were used to identify factors that were independently associated with clinical outcomes. XRCC1 (p = 0.002), pol β (p = 0.032) FEN1 (p = 0.001) and BRCA1 (p = 0.040) levels were independently associated with poor BCSS. Subsequently, DNA repair index prognostic (DRPI) scores for breast cancer specific survival (BCSS) were calculated and two prognostic groups (DRPI-PGs) were identified. Patients in prognostic group 2 (DRPI-PG2) have higher risk of death (p < 0.001). Furthermore, in DRPI-PG2 patients, exposure to anthracycline reduced the risk of death [(HR (95% CI) = 0.79 (0.64–0.98), p = 0.032) by 21–26%. In addition, DRPI-PG2 patients have adverse clinicopathological features including higher grade, lympho-vascular invasion, Her-2 positive phenotype, compared to those in DRPI-PG1 (p < 0.01). Receiver operating characteristic (ROC) curves indicated that the DRPI outperformed the currently used prognostic factors and adding DRPI to lymph node stage significantly improved their performance as a predictor for BCSS [p < 0.00001, area under curve (AUC) = 0.70]. BER strongly influences pathogenesis of ER- and TNBCs. The DRPI accurately predicts BCSS and can also serve as a valuable prognostic and predictive tool for TNBCs.

Citation

Abdel-Fatah, T. M., Arora, A., Moseley, P. M., Perry, C., Rakha, E. A., Green, A. R., …Madhusudan, S. (2015). DNA repair prognostic index modelling reveals an essential role for base excision repair in influencing clinical outcomes in ER negative and triple negative breast cancers. Oncotarget, 6(26), 21964-21978. https://doi.org/10.18632/oncotarget.4157

Journal Article Type Article
Acceptance Date May 19, 2015
Online Publication Date May 30, 2015
Publication Date Sep 8, 2015
Deposit Date Oct 16, 2018
Publicly Available Date Mar 28, 2024
Journal Oncotarget
Publisher Impact Journals
Peer Reviewed Peer Reviewed
Volume 6
Issue 26
Pages 21964-21978
DOI https://doi.org/10.18632/oncotarget.4157
Public URL https://nottingham-repository.worktribe.com/output/1170229
Publisher URL http://www.oncotarget.com/index.php?journal=oncotarget&page=article&op=view&path[]=4157&path[]=17166