Evidence mapPaperPMID 38129228Full record

ArticleAcademic radiology2024

Female-specific pancreatic cancer survival from CT imaging of visceral fat implicates glutathione metabolism in solid tumors.

David H Ballard, Gerard K Nguyen, Norman Atagu, Garrett Camps, Amber Salter, Shama Jaswal, Muhammad Naeem, Daniel R Ludwig, Vincent M Mellnick, Linda R Peterson and 4 more

Open access · greenAbstract read
In one paragraph

Article in Academic radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

14 authors at 6 institutions in 1 country.

David H BallardMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO (D.H.B., G.K.N., S.J., D.R.L., V.M.M., J.E.I.).
Gerard K NguyenMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO (D.H.B., G.K.N., S.J., D.R.L., V.M.M., J.E.I.).
Norman AtaguRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland (N.A.).
Garrett CampsWashington University School of Medicine, Washington University School of Medicine, St. Louis, MO (G.C.).
Amber SalterDepartment of Neurology, Section on Statistical Planning and Analysis, UT Southwestern Medical Center, Dallas, TX (A.S.).
Shama JaswalDepartment of Radiology, Weill Cornell Medical Center/New York Presbyterian Hopsital, New York, NY (S.J.).
Muhammad NaeemDepartment of Radiology, Emory University School of Medicine, Atlanta, GA (M.N.).
Daniel R LudwigMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO (D.H.B., G.K.N., S.J., D.R.L., V.M.M., J.E.I.).
Vincent M MellnickMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO (D.H.B., G.K.N., S.J., D.R.L., V.M.M., J.E.I.).
Linda R PetersonDepartment of Medicine, Washington University School of Medicine, St. Louis, MO (L.R.P.).
William G HawkinsDepartment of Surgery, Washington University School of Medicine, St. Louis, MO (W.G.H., R.C.F.).
Ryan C FieldsDepartment of Surgery, Washington University School of Medicine, St. Louis, MO (W.G.H., R.C.F.).
Jingqin LuoDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, MO (J.L.).
Joseph E IppolitoMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO (D.H.B., G.K.N., S.J., D.R.L., V.M.M., J.E.I.). Electronic address: ippolitoj@wustl.edu.
Mallinckrodt (United States) · USWashington University in St. Louis · USCornell University · USEmory University · USJohns Hopkins University · USSouthwestern Medical Center · US

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University SPORE in Pancreatic CancerP50CA196510 · NCI · WASHINGTON UNIVERSITY · PI GILLANDERS, WILLIAM E. · 2016 to 2020
$10.9M
Training OPportunities in Translational Imaging Education and Research (TOP-TIER)T32EB021955 · NIBIB · WASHINGTON UNIVERSITY · PI Hongyu An, Joseph Edward Ippolito · 2017 to 2026
$2.4M
CHARACTERIZATION OF SEXUAL DIMORPHISM IN GLIOMA METABOLISMR00CA218869 · NCI · WASHINGTON UNIVERSITY · PI IPPOLITO, JOSEPH EDWARD · 2018 to 2020
$747k
Understanding Sex Disparities in Gliomas Through Sex Differences in Mitochondrial ActivityR21CA242221 · NCI · WASHINGTON UNIVERSITY · PI IPPOLITO, JOSEPH EDWARD · 2019 to 2020
$376k
NCATS NIH HHS UL1 TR002345NCI NIH HHS P50 CA196510NCI NIH HHS R00 CA218869NCI NIH HHS R21 CA242221NIBIB NIH HHS T32 EB021955
6 · The paper itself

Abstract

RATIONALE AND

objectivesTo identify if body composition, assessed with preoperative CT-based visceral fat ratio quantification as well as tumor metabolic gene expression, predicts sex-dependent overall survival (OS) in patients with pancreatic ductal adenocarcinoma (PDAC). MATERIALS AND

methodsThis was a retrospective analysis of preoperative CT in 98 male and 107 female patients with PDAC. Relative visceral fat (rVFA; visceral fat normalized to total fat) was measured automatically using software and corrected manually. Median and optimized rVFA thresholds were determined according to published methods. Kaplan Meier and log-rank tests were used to estimate OS. Multivariate models were developed to identify interactions between sex, rVFA, and OS. Unsupervised gene expression analysis of PDAC tumors from The Cancer Genome Atlas (TCGA) was performed to identify metabolic pathways with similar survival patterns to rVFA.

resultsOptimized preoperative rVFA threshold of 38.9% predicted significantly different OS in females with a median OS of 15 months (above threshold) vs 24 months (below threshold; p = 0.004). No significant threshold was identified in males. This female-specific significance was independent of age, stage, and presence of chronic pancreatitis (p = 0.02). Tumor gene expression analysis identified female-specific stratification from a five-gene signature of glutathione S-transferases. This was observed for PDAC as well as clear cell renal carcinoma and glioblastoma.

conclusionCT-based assessments of visceral fat can predict pancreatic cancer OS in females. Glutathione S-transferase expression in tumors predicts female-specific OS in a similar fashion.

Indexed as

Intra-Abdominal FatPancreatic NeoplasmsTomography, X-Ray ComputedAdultAgedAged, 80 and overCarcinoma, Pancreatic DuctalFemaleGlutathioneHumansMaleMiddle AgedRetrospective StudiesSex FactorsSurvival RateGlutathioneMetabolismPancreatic cancerSex differencesVisceral fat

Identifiers

PMID38129228
PMCPMC12416905
OpenAlexW4389990608

What Socratic holds

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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 Socratic graph.