Evidence map›Paper›PMID 31405143›Full record

ArticleCancers2019

ERCC1 Is a Predictor of Anthracycline Resistance and Taxane Sensitivity in Early Stage or Locally Advanced Breast Cancers.

Tarek M A Abdel-Fatah, Reem Ali, Maaz Sadiq, Paul M Moseley, Katia A Mesquita, Graham Ball, Andrew R Green, Emad A Rakha, Stephen Y T Chan, Srinivasan Madhusudan

Abstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Predictive value of DNA repair gene expression for response to neoadjuvant chemotherapy in breast cancer.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2022
    Article
  6. Article
  7. Article
  8. 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

10 authors.

Tarek M A Abdel-FatahDepartment of Oncology, Nottingham University Hospitals, Nottingham NG5 1PB, UK.
Reem AliTranslational Oncology, Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham NG5 1PB, UK.
Maaz SadiqDepartment of Oncology, Nottingham University Hospitals, Nottingham NG5 1PB, UK.
Paul M MoseleyDepartment of Oncology, Nottingham University Hospitals, Nottingham NG5 1PB, UK.ORCID 0000-0003-0795-9751
Katia A MesquitaTranslational Oncology, Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham NG5 1PB, UK.
Graham BallSchool of Science and Technology, Nottingham Trent University, Clifton Campus, Nottingham NG11 8NS, UK.
Andrew R GreenAcademic Pathology, Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham NG5 1PB, UK.ORCID 0000-0002-0488-5913
Emad A RakhaAcademic Pathology, Nottingham Breast Cancer Research Centre, 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. steve.chan@nuh.nhs.uk.
Srinivasan MadhusudanDepartment of Oncology, Nottingham University Hospitals, Nottingham NG5 1PB, UK. srinivasan.madhusudan@nottingham.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic instability could be a beneficial predictor for anthracycline or taxane chemotherapy. We interrogated 188 DNA repair genes in the METABRIC cohort (

Indexed as

anthracycline resistanceERCC1taxane sensitivity

Identifiers

PMID31405143
PMCPMC6721618

What OpenQuestion holds

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Registered trials

None linked

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.