Evidence map›Paper›PMID 29855141›Full record

ArticleJournal of cellular and molecular medicine2018

Potent immunogenicity in BRCA1-mutated patients with high-grade serous ovarian carcinoma.

Ying Dai, Chengdu Sun, Yi Feng, Qingzhu Jia, Bo Zhu

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.2field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 53 citations in OpenAlex.

  1. Trial
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  3. Article
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  6. Article
  7. Senescence induction dictates response to chemo- and immunotherapy in preclinical models of ovarian cancer.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  8. Review
  9. Review
  10. Review
  11. Machine learning analysis of TCGA cancer data.PeerJ. Computer science · 2021
    Article
  12. Review
  13. Article
  14. Morphological and molecular heterogeneity of epithelial ovarian cancer: Therapeutic implications.EJC supplements : EJC : official journal of EORTC, European Organization for Research and Treatment of Cancer ... [et al.] · 2020
    Article
  15. Review
  16. TIGIT enhances CD4Cancer medicine · 2020
    Article
  17. Article
  18. Article
  19. JCO precision oncology · 2020
    Article
  20. Review
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

5 authors at 1 institution in 1 country.

Ying DaiInstitute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, China.ORCID http://orcid.org/0000-0003-1198-3199
Chengdu SunInstitute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, China.
Yi FengInstitute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, China.
Qingzhu JiaInstitute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, China.
Bo ZhuInstitute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, China.
Army Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-grade serous ovarian carcinomas (HGSOCs) were among the tumours with an unsatisfactory outcome of immune checkpoint inhibitors (ICIs). It is imperative to develop feasible biomarker for identifying responsive candidates and guiding precise immunotherapy for HGSOC patients. Here, we analysed genomic data of patients with HGSOCs to depict their immunological phenotype of tumour microenvironment (TME) and figure out the major determinants of immunogenicity. In comparison with other solid tumours, we observed the lowest levels of PD-L1, total mutation burden (TMB) and cytolytic molecules in HGSOCs. Surprisingly, TMB is not certainly positively related to tumour immune response as it failed to predict the response to ICIs in a considerable portion of patients in previous clinical trials. By a machine learning approach in search of biomarkers for immunotherapy implications for HGSOCs, we identified the ten most dominant factors determining the immunogenicity of HGSOCs. Interestingly, we found that BRCA1 mutated tumours presented a potent immunogenic phenotype, independent of TMB, meeting the criteria of both our dominant factors and the determinants of immunogenicity established before. Our findings provide evidence that BRCA1-mutation may be served as a predictive biomarker in guiding ICI therapies for the patients with HGSOCs.

Indexed as

BRCAhigh-grade serous ovarian carcinomasimmune checkpoint inhibitorTCGAtotal tumour burdentumour microenvironment

Identifiers

PMID29855141
PMCPMC6050488
OpenAlexW2807168636

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.