Evidence map›Paper›PMID 32697381›Full record

ArticleCancer2020

Survival and clinical outcomes of patients with ovarian cancer who were treated on phase 1 clinical trials.

Bradley R Corr, Marisa Moroney, Jeanelle Sheeder, S Gail Eckhardt, Brandon Sawyer, Kian Behbakht, Jennifer R Diamond

Open access · greenAbstract read
In one paragraph

Article in Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Article
  3. Camonsertib, an ATRi, in Combination with Low-Dose Gemcitabine in Solid Tumors with DNA Damage Response Aberrations: Preclinical and Phase Ib Results.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
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  5. Article
  6. Article
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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

7 authors at 1 institution in 1 country.

Bradley R CorrDepartment of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado.ORCID 0000-0002-6608-2585
Marisa MoroneyDepartment of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado.ORCID 0000-0002-2385-1903
Jeanelle SheederDepartment of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado.
S Gail EckhardtDepartment of Medical Oncology, University of Colorado School of Medicine, Aurora, Colorado.
Brandon SawyerDepartment of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado.
Kian BehbakhtDepartment of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado.
Jennifer R DiamondDepartment of Medical Oncology, University of Colorado School of Medicine, Aurora, Colorado.
University of Colorado Denver · US

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
The Development of Novel Individualized Therapy for Triple-Negative Breast CancerK23CA172691 · NCI · UNIVERSITY OF COLORADO DENVER · PI DIAMOND, JENNIFER R. · 2013 to 2017
$859k
National Institutes of Health (NIH) and the National Cancer Institute (NCI) 1K23CA172691-01A1National Institutes of Health (NIH) and the National Cancer Institute (NCI) 5P30CA046934-25NCI NIH HHS K23 CA172691NCI NIH HHS P30 CA046934
6 · The paper itself

Abstract

backgroundPatients with ovarian cancer who are enrolled on phase 1 trials typically have platinum-resistant and heavily pretreated disease, with a poor prognosis. In the current study, the authors assessed prognostic factors and survival in women with recurrent ovarian cancer who were treated on phase 1 clinical trials.

methodsThe authors performed a retrospective analysis of patients treated from 2008 through 2018 at the University of Colorado Cancer Center. Patient characteristics and treatment and toxicity-related survival data were assessed. Descriptive statistics and Cox proportional hazards models were used to identify risk factors associated with survival time.

resultsA total of 132 patients were treated on phase 1 clinical trials. Patients had a median age of 59 years (range, 33-88 years) with a median of 5.5 previous chemotherapy lines (range, 1-13 lines). Of the 132 patients, 53 (40%) were treated on multiple phase 1 trials with a median of 1 (range, 0-5) prior phase 1 trial. The overall response rate was 14.7%. The median overall survival was 11.3 months (95% CI, 9.1-13.4 months). Two patients died on trial due to progression of disease whereas no patients died of treatment-related toxicity. Independent risk factors found to be predictive of shorter survival were an elevated cancer antigen 125 (CA 125) level (hazard ratio [HR], 2.8; 95% CI, 1.6-5.2) and albumin <3.5 g/dL (HR, 2.5; 95% CI, 1.65-3.79). A body mass index >25 kg/m

conclusionsIn the current single-institution series, patients with heavily pretreated ovarian cancer who were treated on phase 1 clinical trials experienced a median overall survival of 11.3 months. When available, phase 1 clinical trials represent a reasonable treatment option for patients with heavily pretreated ovarian cancer with a preserved performance status.

Indexed as

AdultAgedAged, 80 and overAntineoplastic AgentsClinical Trials, Phase I as TopicFemaleHumansMiddle AgedOvarian NeoplasmsRetrospective StudiesSurvival AnalysisTreatment OutcomeAntineoplastic Agentsclinical trialovarian cancerphase 1phase Irecurrent ovarian cancer

Identifiers

PMID32697381
PMCPMC7723337
OpenAlexW3044989767

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.