Evidence map›Paper›PMID 30366646›Full record

ArticleGynecologic oncology2018

Characteristics and outcomes of patients with recurrent ovarian cancer undergoing early phase immune checkpoint inhibitor clinical trials.

Emily Hinchcliff, David Hong, Hung Le, Gary Chisholm, Revathy Iyer, Aung Naing, Patrick Hwu, Amir Jazaeri

Abstract read
In one paragraph

Article in Gynecologic oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
0.8field-weighted citation impact, top 22% 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

24 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Review
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  7. Review
  8. Article
  9. Immune pathway through endometriosis to ovarian cancer.World journal of clinical oncology · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. miR-146a inhibits ovarian tumor growthMolecular therapy oncolytics · 2023
    Article
  14. Article
  15. Focus on PD-1/PD-L1 as a Therapeutic Target in Ovarian Cancer.International journal of molecular sciences · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  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

8 authors at 1 institution in 1 country.

Emily HinchcliffDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America. Electronic address: emhinchcliff@mdanderson.org.
David HongDepartment of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America.
Hung LeDepartment of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America.
Gary ChisholmDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America.
Revathy IyerDepartment of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America.
Aung NaingDepartment of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America.
Patrick HwuDepartment of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America.
Amir JazaeriDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Training of Academic Gynecologic OncologistsT32CA101642 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ANIL K SOOD, Kathleen Schmeler · 2005 to 2026
$9.2M
NCI NIH HHS P30 CA016672NCI NIH HHS T32 CA101642
6 · The paper itself

Abstract

objectiveTo describe the clinical outcomes associated with the use of checkpoint inhibitor therapy in recurrent ovarian malignancy.

methodsWomen with recurrent ovarian cancer treated with an immune checkpoint inhibitor between 1/2012 and 8/2017 were included. RECIST criteria determined disease status, and immune related adverse events (irAE) were graded per trial protocols. Predictors of response, irAE, progression free survival (PFS) and overall survival (OS) were investigated.

resultsForty-four women were included with a median age of 53 years, median of 4 prior lines of chemotherapy, and most commonly high grade serous pathology (59.1%). 3 patients had partial response and 3 had pseudoprogression, for a response rate of 14.2%. In subset analysis of high grade serous (HGSOC) pathology, platinum sensitivity at time of checkpoint inhibitor therapy was correlated with response (p = 0.01). There were 28 grade 3/4 irAEs in 21 patients (47.7%). Combination therapy rather than monotherapy predicted irAE (OR 5.7, CI 1.6-20.9, p = 0.02). The most common severe irAE was elevation in hepatic or pancreatic enzymes in 12 total patients (13.6% each). Interestingly, the number of genes mutated was protective from hepatic/pancreatic AE (p = 0.02).

conclusionsWhile response rate was similar to prior literature, in patients with HGSOC platinum sensitivity at time of checkpoint inhibitor initiation was correlated to response. Grade 3/4 hepatic and pancreatic enzyme elevations were more common in ovarian cancer patients than has been previously reported in other tumor types. The number of genes mutated was inversely correlated to risk of this type of irAEs but not to total irAEs.

Indexed as

AdultAgedAntineoplastic AgentsFemaleHumansMiddle AgedOvarian NeoplasmsTreatment OutcomeAntineoplastic Agents

Identifiers

PMID30366646
PMCPMC6281778
OpenAlexW2898544252

What OpenQuestion holds

Textmetadata
LicenceTDM
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.