Evidence map›Paper›PMID 31312712›Full record

ReviewGynecologic oncology reports2019

Checkpoint inhibitors in ovarian cancer: A review of preclinical data.

David W Doo, Lyse A Norian, Rebecca C Arend

Open access · goldAbstract readReview
In one paragraph

Review in Gynecologic oncology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 74 citations in OpenAlex.

  1. Trial
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  4. Review
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  6. Article
  7. The biological roles of CD47 in ovarian cancer progression.Cancer immunology, immunotherapy : CII · 2024
    Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Focus on PD-1/PD-L1 as a Therapeutic Target in Ovarian Cancer.International journal of molecular sciences · 2022
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

David W DooDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Alabama at Birmingham, Birmingham, AL, United States of America.
Lyse A NorianDepartment of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL, United States of America.
Rebecca C ArendDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Alabama at Birmingham, Birmingham, AL, United States of America.
University of Alabama at Birmingham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is the deadliest gynecologic malignancy, and relapse after initial treatment is frequently fatal. Although ovarian cancer typically has an immunosuppressive tumor microenvironment, a strong intratumoral T cell presence is associated with an improved response to chemotherapy and better overall prognosis. Given the success of checkpoint inhibitors in the treatment of other malignancies, there has been an attempt to replicate these results in ovarian cancer clinical trials. Preclincal studies in ovarian cancer have also been conducted over the past decade, and most of the focus has been on the use of programmed cell death protein 1 (PD-1). Several other checkpoint inhibitors have also been investigated in various combinations with chemotherapy, oncolytic vaccines, co-stimulatory molecules, poly ADP ribose polymerase (PARP) inhibitors, and other checkpoint inhibitors. Unfortunately, these successes have yet to translate to the clinical realm. Whether this is because the drug class is truly ineffective in ovarian cancer, or simply because the research is lacking is unclear. Either way, it is evident that preclinical data on the use of checkpoint inhibitors is woefully deficient in ovarian cancer and more research is urgently needed to inform the translation of immune checkpoint blockade into successful clinical use. In this review, we discuss the results from preclinical studies using checkpoint inhibitors to treat ovarian cancer, with a focus on strategies that show potential for clinical use.

Indexed as

Immune checkpoint inhibitorsImmunotherapyMouse modelOvarian cancerPreclinical

Identifiers

PMID31312712
PMCPMC6609798
OpenAlexW2951013387

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.