Evidence map›Paper›PMID 36239936›Full record

ArticleJAMA network open2022

Classification of High-Grade Serous Ovarian Cancer Using Tumor Morphologic Characteristics.

Katelyn F Handley, Travis T Sims, Nicholas W Bateman, Deanna Glassman, Katherine I Foster, Sanghoon Lee, Jun Yao, Hui Yao, Bryan M Fellman, Jinsong Liu and 19 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Overview of Tumor Heterogeneity in High-Grade Serous Ovarian Cancers.International journal of molecular sciences · 2023
    Review
  12. Article
  13. Review
  14. 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

29 authors at 6 institutions in 1 country.

Katelyn F HandleyDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Travis T SimsDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Nicholas W BatemanWomen's Health Integrated Research Center at Inova Health System, Women's Service Line, Inova Health System, Falls Church, Virginia.
Deanna GlassmanDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Katherine I FosterDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Sanghoon LeeDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Jun YaoDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston.
Hui YaoDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston.
Bryan M FellmanDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston.
Jinsong LiuDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston.
Zhen LuDepartment of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston.
Kelly A ConradsWomen's Health Integrated Research Center at Inova Health System, Women's Service Line, Inova Health System, Falls Church, Virginia.
Brian L HoodWomen's Health Integrated Research Center at Inova Health System, Women's Service Line, Inova Health System, Falls Church, Virginia.
Waleed BarakatWomen's Health Integrated Research Center at Inova Health System, Women's Service Line, Inova Health System, Falls Church, Virginia.
Li ZhaoDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Jianhua ZhangDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Shannon N WestinDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Joseph CelestinoDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Kelly M RangelDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston.
Sunil BadalDepartment of Chemistry, The University of Texas at Austin, Austin.
Igor PereiraDepartment of Chemistry, The University of Texas at Austin, Austin.
Prahlad T RamDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston.
George L MaxwellWomen's Health Integrated Research Center at Inova Health System, Women's Service Line, Inova Health System, Falls Church, Virginia.
Livia S EberlinDepartment of Surgery, Baylor College of Medicine, Houston, Texas.
P Andrew FutrealDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Robert C BastDepartment of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston.
Nicole D FlemingDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston.
Thomas P ConradsWomen's Health Integrated Research Center at Inova Health System, Women's Service Line, Inova Health System, Falls Church, Virginia.
Anil K SoodDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston.
The University of Texas MD Anderson Cancer Center · USHenry M. Jackson Foundation · USInova Health System · USThe University of Texas at Austin · USBaylor College of Medicine · USWalter Reed National Military Medical Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Importance: Despite similar histologic appearance among high-grade serous ovarian cancers (HGSOCs), clinical observations suggest vast differences in gross appearance. There is currently no systematic framework by which to classify HGSOCs according to their gross morphologic characteristics. Objective: To develop and characterize a gross morphologic classification system for HGSOC. Design, Setting, and Participants: This cohort study included patients with suspected advanced-stage ovarian cancer who presented between April 1, 2013, and August 5, 2016, to the University of Texas MD Anderson Cancer Center, a large referral center. Patients underwent laparoscopic assessment of disease burden before treatment and received a histopathologic diagnosis of HGSOC. Researchers assigning morphologic subtype and performing molecular analyses were blinded to clinical outcomes. Data analysis was performed between April 2020 and November 2021. Exposures: Gross tumor morphologic characteristics. Main Outcomes and Measures: Clinical outcomes and multiomic profiles of representative tumor samples of type I or type II morphologic subtypes were compared. Results: Of 112 women (mean [SD] age 62.7 [9.7] years) included in the study, most patients (84% [94]) exhibited a predominant morphologic subtype and many (63% [71]) had a uniform morphologic subtype at all involved sites. Compared with those with uniform type I morphologic subtype, patients with uniform type II morphologic subtype were more likely to have a favorable Fagotti score (83% [19 of 23] vs 46% [22 of 48]; P = .004) and thus to be triaged to primary tumor reductive surgery. Similarly, patients with uniform type II morphologic subtype also had significantly higher mean (SD) estimated blood loss (639 [559; 95% CI, 391-887] mL vs 415 [527; 95% CI, 253-577] mL; P = .006) and longer mean (SD) operative time (408 [130; 95% CI, 350-466] minutes vs 333 [113; 95% CI, 298-367] minutes; P = .03) during tumor reductive surgery. Type I tumors had enrichment of epithelial-mesenchymal transition (false discovery rate [FDR] q-value, 3.10 × 10-24), hypoxia (FDR q-value, 1.52 × 10-5), and angiogenesis pathways (FDR q-value, 2.11 × 10-2), whereas type II tumors had enrichment of pathways related to MYC signaling (FDR q-value, 2.04 × 10-9) and cell cycle progression (FDR q-value, 1.10 × 10-5) by integrated proteomic and transcriptomic analysis. Abundances of metabolites and lipids also differed between the 2 morphologic subtypes. Conclusions and Relevance: This study identified 2 novel, gross morphologic subtypes of HGSOC, each with unique clinical features and molecular signatures. The findings may have implications for triaging patients to surgery or chemotherapy, identifying outcomes, and developing tailored therapeutic strategies.

Indexed as

Ovarian NeoplasmsCohort StudiesFemaleHumansLipidsMiddle AgedProteomicsProto-Oncogene Proteins c-mycSignal TransductionLipidsProto-Oncogene Proteins c-myc

Identifiers

PMID36239936
PMCPMC9568802
OpenAlexW4306247622

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.