Evidence map›Paper›PMID 34789471›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2022

High Prediagnosis Inflammation-Related Risk Score Associated with Decreased Ovarian Cancer Survival.

Katharine K Brieger, Minh Tung Phung, Bhramar Mukherjee, Kelly M Bakulski, Hoda Anton-Culver, Elisa V Bandera, David D L Bowtell, Daniel W Cramer, Anna DeFazio, Jennifer A Doherty and 39 more

Abstract readMulticenter Study
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Patterns of Associations with Epidemiologic Factors by High-Grade Serous Ovarian Cancer Gene Expression Subtypes.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. 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

49 authors.

Katharine K Brieger *Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan.ORCID 0000-0002-7266-117X
Minh Tung Phung *Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan.ORCID 0000-0002-3573-4501
Bhramar MukherjeeDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan.
Kelly M BakulskiDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan.ORCID 0000-0002-9605-6337
Hoda Anton-CulverDepartment of Medicine, School of Medicine, University of California Irvine, Irvine, California.
Elisa V BanderaCancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey.ORCID 0000-0002-8789-2755
David D L BowtellPeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Daniel W CramerDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Anna DeFazioCentre for Cancer Research, The Westmead Institute for Medical Research, and The University of Sydney, Westmead, New South Wales, Australia.ORCID 0000-0003-0057-4744
Jennifer A DohertyDepartment of Population Health Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah.ORCID 0000-0002-1454-8187
Sian FeredayPeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Renée Turzanski FortnerDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-1426-8505
Aleksandra Gentry-MaharajMRC Clinical Trials Unit, Institute of Clinical Trials & Methodology, UCL, London, United Kingdom.ORCID 0000-0001-7270-9762
Ellen L GoodeDivision of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Marc T GoodmanCancer Prevention and Genetics Program, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California.
Holly R HarrisProgram in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0002-2572-6727
Keitaro MatsuoDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan.ORCID 0000-0003-1761-6314
Usha MenonMRC Clinical Trials Unit, Institute of Clinical Trials & Methodology, UCL, London, United Kingdom.ORCID 0000-0003-3708-1732
Francesmary ModugnoWomen's Cancer Research Center, Magee-Women's Research Institute and UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania.ORCID 0000-0003-0637-1534
Kirsten B MoysichDivision of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
Bo QinCancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey.ORCID 0000-0003-2110-6050
Susan J RamusSchool of Women's and Children's Health, Faculty of Medicine, University of NSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0003-0005-7798
Harvey A RischChronic Disease Epidemiology Department, Yale School of Public Health, New Haven, Connecticut.
Mary Anne RossingProgram in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Joellen M SchildkrautEmory University Rollins School of Public Health, Atlanta, Georgia.
Britton TrabertDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0002-1539-6090
Robert A VierkantDivision of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-6242-5221
Stacey J WinhamDivision of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-8492-9102
Nicolas WentzensenDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Anna H WuDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
Argyrios ZiogasDepartment of Medicine, School of Medicine, University of California Irvine, Irvine, California.ORCID 0000-0003-4529-3727
Lilah KhojaDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan.ORCID 0000-0002-7489-4129
Kathleen R ChoDepartment of Pathology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0003-0500-9998
Karen McLeanDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0001-7833-1967
Jean RichardsonDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.ORCID 0000-0002-8273-6518
Bronwyn GroutPatient Advocate.
Anne ChasePatient Advocate.
Cindy McKinnon DeurlooPatient Advocate.
Kunle OdunsiUniversity of Chicago Medicine Comprehensive Cancer Center, Chicago, Illinois.ORCID 0000-0002-4444-7651
Brad H NelsonDeeley Research Centre, British Columbia Cancer Agency, Victoria, British Columbia, Canada.ORCID 0000-0002-4445-5539
James D BrentonCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-5738-6683
Kathryn L TerryDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Paul D P PharoahDepartment of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom.
Andrew BerchuckDivision of Gynecologic Oncology, Duke University School of Medicine, Durham, North Carolina.
Gillian E HanleyDepartment of Obstetrics & Gynecology, University of British Columbia Faculty of Medicine, Vancouver, British Columbia, Canada.
Penelope M WebbDepartment of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID 0000-0003-0733-5930
Malcolm C PikeDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.ORCID 0000-0003-4891-1199
Celeste Leigh Pearce
Ovarian Cancer Association Consortium

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THEODORE S LAWRENCE · 1988 to 2026
$178.2M
Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Chang S Chan · 1997 to 2026
$94.5M
Use of microfluidic tumor cultures to enable clinical trials of therapies for ovarian cancerP50CA136393 · NCI · MAYO CLINIC ROCHESTER · PI Zhenkun Lou · 2009 to 2026
$37.0M
PLCO Trial Etiologic and Early Marker StudyZIACP010152 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI MOORE, STEVEN · 2009 to 2025
$29.9M
WITHIN SUBJ VARIABILITY IN MEASUREMENTS DRUG METABOL ENZYMES IN HLTY SUBJM01RR000056 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEVINE, ARTHUR S · 1985 to 2006
$29.2M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
RPCI-UPCI Ovarian Cancer SPOREP50CA159981 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MOYSICH, KIRSTEN B. · 2013 to 2025
$19.6M
USC CANCER EPIDEMIOLOGY &BIOSTATISTICS UNITP01CA017054 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DEAPEN, DENNIS M. · 1985 to 2009
$18.2M
University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
Cancer Research UK 15601Cancer Research UK 22905Medical Research Council MR_UU-12023NCI NIH HHS K07 CA080668NCI NIH HHS K07 CA095666NCI NIH HHS K22 CA138563NCI NIH HHS N01 CN025403NCI NIH HHS N01 PC067010NCI NIH HHS P01 CA017054NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA014089NCI NIH HHS P30 CA015083NCI NIH HHS P30 CA046592NCI NIH HHS P30 CA072720NCI NIH HHS P50 CA105009NCI NIH HHS P50 CA136393NCI NIH HHS P50 CA159981NCI NIH HHS R01 CA054419NCI NIH HHS R01 CA058598NCI NIH HHS R01 CA058860NCI NIH HHS R01 CA063678NCI NIH HHS R01 CA074850NCI NIH HHS R01 CA076016NCI NIH HHS R01 CA080742NCI NIH HHS R01 CA083918NCI NIH HHS R01 CA087538NCI NIH HHS R01 CA095023NCI NIH HHS R01 CA112523NCI NIH HHS R01 CA122443NCI NIH HHS R01 CA126841NCI NIH HHS R01 CA248288NCI NIH HHS R03 CA113148NCI NIH HHS R03 CA115195NCI NIH HHS U19 CA148112NCRR NIH HHS M01 RR000056NHGRI NIH HHS T32 HG000040NIEHS NIH HHS P30 ES017885
6 · The paper itself

Abstract

backgroundThere is suggestive evidence that inflammation is related to ovarian cancer survival. However, more research is needed to identify inflammation-related factors that are associated with ovarian cancer survival and to determine their combined effects.

methodsThis analysis used pooled data on 8,147 women with invasive epithelial ovarian cancer from the Ovarian Cancer Association Consortium. The prediagnosis inflammation-related exposures of interest included alcohol use; aspirin use; other nonsteroidal anti-inflammatory drug use; body mass index; environmental tobacco smoke exposure; history of pelvic inflammatory disease, polycystic ovarian syndrome, and endometriosis; menopausal hormone therapy use; physical inactivity; smoking status; and talc use. Using Cox proportional hazards models, the relationship between each exposure and survival was assessed in 50% of the data. A weighted inflammation-related risk score (IRRS) was developed, and its association with survival was assessed using Cox proportional hazards models in the remaining 50% of the data.

resultsThere was a statistically significant trend of increasing risk of death per quartile of the IRRS [HR = 1.09; 95% confidence interval (CI), 1.03-1.14]. Women in the upper quartile of the IRRS had a 31% higher death rate compared with the lowest quartile (95% CI, 1.11-1.54).

conclusionsA higher prediagnosis IRRS was associated with an increased mortality risk after an ovarian cancer diagnosis. Further investigation is warranted to evaluate whether postdiagnosis exposures are also associated with survival. IMPACT: Given that pre- and postdiagnosis exposures are often correlated and many are modifiable, our study results can ultimately motivate the development of behavioral recommendations to enhance survival among patients with ovarian cancer.

Indexed as

AgedCarcinoma, Ovarian EpithelialFemaleHealth BehaviorHumansInflammationMiddle AgedOvarian NeoplasmsProportional Hazards ModelsRisk Assessment

Identifiers

PMID34789471
PMCPMC9281656

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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.