Evidence map›Paper›PMID 26267318›Full record

ArticleOncotarget2015

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.

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

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
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  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Tarek M A Abdel-FatahDepartment of Oncology, Nottingham University Hospitals, Nottingham NG5 1PB, UK.
Arvind AroraAcademic Unit of Oncology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham NG51 PB, UK.
Paul M MoseleyDepartment of Oncology, Nottingham University Hospitals, Nottingham NG5 1PB, UK.
Christina PerryAcademic Unit of Oncology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham NG51 PB, UK.
Emad A RakhaDepartment of Pathology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham NG5 1PB, UK.
Andrew R GreenDepartment of Pathology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham NG5 1PB, UK.
Stephen Y T ChanDepartment of Oncology, Nottingham University Hospitals, Nottingham NG5 1PB, UK.
Ian O EllisDepartment of Pathology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham NG5 1PB, UK.
Srinivasan MadhusudanDepartment of Oncology, Nottingham University Hospitals, Nottingham NG5 1PB, UK.
University of Nottingham · GBNottingham University Hospitals NHS Trust · GB

Funding

Medical Research Council MR/J008001/1
6 · The paper itself

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.

Indexed as

DNA RepairAdultAgedAnthracyclinesBRCA1 ProteinDNA-Binding ProteinsFemaleFlap EndonucleasesHumansMiddle AgedPrognosisReceptors, EstrogenRetrospective StudiesSurvival AnalysisTreatment OutcomeTriple Negative Breast NeoplasmsAnthracyclinesBRCA1 ProteinBRCA1 protein, humanDNA-Binding ProteinsFEN1 protein, humanFlap EndonucleasesReceptors, EstrogenX-ray Repair Cross Complementing Protein 1XRCC1 protein, humanbase excision repairDNA repairER-prognosisTNBC

Identifiers

PMID26267318
PMCPMC4673139
OpenAlexW1775529440

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.