Evidence map›Paper›PMID 35931468›Full record

ArticleGynecologic oncology2022

Into the future: A pilot study combining imaging with molecular profiling to predict resectability in ovarian cancer.

Amanika Kumar, Chen Wang, Shannon P Sheedy, Bryan M McCauley, Stacey J Winham, Susan J Ramus, Michael S Anglesio, Bohyun Kim, Diogo Torres, Gary L Keeney and 2 more

Open access · greenAbstract read
In one paragraph

Article in Gynecologic oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Neoadjuvant Chemotherapy for Newly Diagnosed, Advanced Ovarian Cancer: ASCO Guideline Update.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Guideline
  2. Article
  3. 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

12 authors at 2 institutions in 1 country.

Amanika KumarDepartment of Obstetrics and Gynecology, Division of Gynecologic Surgery, Mayo Clinic, Rochester, MN, United States. Electronic address: Kumar.Amanika@mayo.edu.
Chen WangDepartment of Quantitative Health Sciences, Division of Computational Biology, Mayo Clinic, Rochester, MN, United States.
Shannon P SheedyDepartment of Radiology, Mayo Clinic, Rochester, MN, United States.
Bryan M McCauleyDepartment of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, United States.
Stacey J WinhamDepartment of Quantitative Health Sciences, Division of Computational Biology, Mayo Clinic, Rochester, MN, United States.
Susan J RamusSchool of Clinical Medicine, Faculty of Medicine, University of NSW Sydney, Sydney, New South Wales, Australia; Adult Cancer Program, Lowy Cancer Research Centre, University of NSW Sydney, Sydney, New South Wales, Australia.
Michael S AnglesioBritish Columbia's Ovarian Cancer Research (OVCARE) Program, BC Cancer, Vancouver General Hospital, and University of British Columbia, Vancouver, BC, Canada; Department of Obstetrics and Gynecology, University of British Columbia, Vancouver, BC, Canada.
Bohyun KimDepartment of Radiology, Mayo Clinic, Rochester, MN, United States.
Diogo TorresDivision of Gynecologic Oncology, Ochsner Health Center, New Orleans, LA.
Gary L KeeneyDivision of Gynecologic Oncology, Ochsner Health Center, New Orleans, LA.
William A ClibyDepartment of Obstetrics and Gynecology, Division of Gynecologic Surgery, Mayo Clinic, Rochester, MN, United States.
Ellen L GoodeDepartment of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, United States.
Mayo Clinic in Arizona · USMayo Clinic in Florida · US

Funding

Use of microfluidic tumor cultures to enable clinical trials of therapies for ovarian cancerP50CA136393 · NCI · MAYO CLINIC ROCHESTER · PI ELLEN L. GOODE · 2009 to 2026
$37.0M
Relating Molecular Subgroups of Endometriosis-Associated Ovarian Cancers to Survival and RiskR01CA248288 · NCI · MAYO CLINIC ROCHESTER · PI Stacey J Winham · 2021 to 2026
$4.8M
Identifying Prognostic Markers and Therapeutic Targets for Serous Ovarian CancerR01CA172404 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI RAMUS, SUSAN J · 2013 to 2017
$2.9M
NCI NIH HHS P50 CA136393NCI NIH HHS R01 CA172404NCI NIH HHS R01 CA248288
6 · The paper itself

Abstract

objectiveWe sought to determine the predictive value of combining tumor molecular subtype and computerized tomography (CT) imaging for surgical outcomes after primary cytoreductive surgery in advanced stage high-grade serous ovarian cancer (HGSOC) patients.

methodsWe identified 129 HGSOC patients who underwent pre-operative CT imaging and post-operative tumor mRNA profiling. A continuous CT-score indicative of overall disease burden was defined based on six imaging measurements of anatomic involvement. Molecular subtypes were derived from mRNA profiling of chemo-naïve tumors and classified as mesenchymal (MES) subtype (36%) or non-MES subtype (64%). Fischer exact tests and multivariate logistic regression examined residual disease and surgical complexity.

resultsWomen with higher CT-scores were more likely to have MES subtype tumors (p = 0.014). MES subtypes and a high CT-score were independently predictive of macroscopic disease and high surgical complexity. In multivariate models adjusting for age, stage and American Society of Anesthesiologists (ASA) score, patients with a MES subtype and high CT-score had significantly elevated risk of macroscopic disease (OR = 26.7, 95% CI = [6.42, 187]) and were more likely to undergo high complexity surgery (OR = 9.53, 95% CI = [2.76, 40.6], compared to patients with non-MES tumor and low CT-score.

conclusionPreoperative CT imaging combined with tumor molecular subtyping can identify a subset of women unlikely to have resectable disease and likely to require high complexity surgery. Along with other clinical factors, these may refine predictive scores for resection and assist treatment planning. Investigating methods for pre-surgical molecular subtyping is an important next step.

Indexed as

Cystadenocarcinoma, SerousOvarian NeoplasmsCarcinoma, Ovarian EpithelialFemaleHumansPilot ProjectsRetrospective StudiesRNA, MessengerRNA, Messenger

Identifiers

PMID35931468
PMCPMC9620550
OpenAlexW4289525812

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.