Evidence map›Paper›PMID 26674120›Full record

ArticleBBA clinical2014

ATM, ATR and DNA-PKcs expressions correlate to adverse clinical outcomes in epithelial ovarian cancers.

Tarek M A Abdel-Fatah, Arvind Arora, Paul Moseley, Clare Coveney, Christina Perry, Kerstie Johnson, Christopher Kent, Graham Ball, Stephen Chan, Srinivasan Madhusudan

Open access · hybridAbstract read
In one paragraph

Article in BBA clinical, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Secrets of DNA-PKcs beyond DNA repair.NPJ precision oncology · 2024
    Review
  6. Targeting the DNA Damage Response for Cancer Therapy.International journal of molecular sciences · 2023
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Prognostic Value of the Immunohistochemical Expression of RAD51 and BRCA2 in Gastric Adenocarcinoma.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2022
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Rad50 promotes ovarian cancer progression through NF-κB activation.Journal of cellular and molecular medicine · 2021
    Article
  18. Review
  19. Article
  20. Theasaponin EMolecules (Basel, Switzerland) · 2021
    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 at 2 institutions in 1 country.

Tarek M A Abdel-FatahDepartment of Oncology, Nottingham University Hospitals, Nottingham NG5 1PB, UK.
Arvind AroraDepartment of Oncology, Nottingham University Hospitals, Nottingham NG5 1PB, UK.
Paul MoseleyDepartment of Oncology, Nottingham University Hospitals, Nottingham NG5 1PB, UK.
Clare CoveneySchool of Science and Technology, Nottingham Trent University, Clifton Campus, Nottingham NG11 8NS, UK.
Christina PerryDepartment of Oncology, Nottingham University Hospitals, Nottingham NG5 1PB, UK ; Laboratory of Molecular Oncology, Division of Oncology, School of Medicine, University of Nottingham, Nottingham University Hospitals, Nottingham NG5 1PB, UK.
Kerstie JohnsonDepartment of Oncology, Nottingham University Hospitals, Nottingham NG5 1PB, UK.
Christopher KentDepartment of Oncology, Nottingham University Hospitals, Nottingham NG5 1PB, UK.
Graham BallSchool of Science and Technology, Nottingham Trent University, Clifton Campus, Nottingham NG11 8NS, UK.
Stephen ChanDepartment of Oncology, Nottingham University Hospitals, Nottingham NG5 1PB, UK.
Srinivasan MadhusudanDepartment of Oncology, Nottingham University Hospitals, Nottingham NG5 1PB, UK ; Laboratory of Molecular Oncology, Division of Oncology, School of Medicine, University of Nottingham, Nottingham University Hospitals, Nottingham NG5 1PB, UK.
Nottingham University Hospitals NHS Trust · GBNottingham Trent University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtaxia-telangiectasia mutated (ATM), ataxia-telangiectasia mutated and rad3 related (ATR) and DNA-dependent protein kinase catalytic sub-unit (DNA-PKcs) play critical roles in DNA damage response (DDR) by linking DNA damage sensing to DDR effectors that regulate cell cycle progression and DNA repair. Our objective was to evaluate if ATM, ATR and DNA-PKcs expressions could predict response to therapy and clinical outcome in epithelial ovarian cancers.

methodsWe investigated ATM, ATR, and DNA-PKcs expressions in ovarian epithelial cancers [protein expression (n = 194 patients), mRNA expression (n = 156 patients)] and correlated to clinicopathological outcomes as well as expression of X-ray repair cross-complementing protein 1 (XRCC1), cell division cycle-45 (CDC45), cyclin-dependent kinase 1(CDK1) and Ki-67 in tumours.

resultsHigh ATM protein expression was associated with serous cystadenocarcinomas (p = 0.021) and platinum resistance (p = 0.017). High DNA-PKcs protein expression was associated with serous cystadenocarcinomas (p = 0.006) and advanced stage tumours (p = 0.018). High ATM protein (p = 0.001), high ATM mRNA (p = 0.018), high DNA-PKcs protein (p = 0.002), high DNA-PKcs mRNA (p = 0.044) and high ATR protein (p = 0.001) expressions are correlated with poor ovarian cancer specific survival (OCSS). In multivariate Cox model, high DNA-PKcs (p = 0.006) and high ATR (p = 0.043) protein expressions remain independently associated with poor OCSS.

conclusionsATM, ATR and DNA-PKcs expressions may have prognostic and predictive significances in epithelial ovarian cancer. GENERAL SIGNIFICANCE: The data presented here provides evidence that ATM, ATR and DNA-PKcs involved in DDR are not only promising biomarkers but are also rational targets for personalized therapy in ovarian cancer.

Indexed as

ATMATRBiomarkerDNA-PKOvarian cancer

Identifiers

PMID26674120
PMCPMC4633921
OpenAlexW2082877330

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.