Evidence map›Paper›PMID 31771659›Full record

ArticleJournal of ovarian research2019

Development and validation of circulating CA125 prediction models in postmenopausal women.

Naoko Sasamoto, Ana Babic, Bernard A Rosner, Renée T Fortner, Allison F Vitonis, Hidemi Yamamoto, Raina N Fichorova, Linda J Titus, Anne Tjønneland, Louise Hansen and 36 more

Abstract read
In one paragraph

Article in Journal of ovarian research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Personalizing CA125 Levels Using Tumor Marker Variants: A Case-Control Analysis of Diagnostic Performance for Pancreatic Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Molecular Management of High-Grade Serous Ovarian Carcinoma.International journal of molecular sciences · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

46 authors.

Naoko SasamotoObstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital and Harvard Medical School, 221 Longwood Avenue, Boston, MA, 02115, USA. nsasamoto@bwh.harvard.edu.ORCID http://orcid.org/0000-0002-4526-2181
Ana BabicDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Bernard A RosnerChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Renée T FortnerDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Allison F VitonisObstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital and Harvard Medical School, 221 Longwood Avenue, Boston, MA, 02115, USA.
Hidemi YamamotoLaboratory of Genital Tract Biology, Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women's Hospital, Boston, MA, USA.
Raina N FichorovaLaboratory of Genital Tract Biology, Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women's Hospital, Boston, MA, USA.
Linda J TitusDepartments of Epidemiology and Pediatrics, Geisel School of Medicine at Dartmouth and Norris Cotton Cancer Center, Hanover, NH, USA.
Anne TjønnelandDiet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark.
Louise HansenDiet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark.
Marina KvaskoffCESP, Fac. de médecine - Univ. Paris-Sud, Fac. de médecine - UVSQ, INSERM, Université Paris-Saclay, Villejuif, France.
Agnès FournierCESP, Fac. de médecine - Univ. Paris-Sud, Fac. de médecine - UVSQ, INSERM, Université Paris-Saclay, Villejuif, France.
Francesca Romana ManciniCESP, Fac. de médecine - Univ. Paris-Sud, Fac. de médecine - UVSQ, INSERM, Université Paris-Saclay, Villejuif, France.
Heiner BoeingDepartment of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Antonia TrichopoulouHellenic Health Foundation, Athens, Greece.
Eleni PeppaHellenic Health Foundation, Athens, Greece.
Anna KarakatsaniHellenic Health Foundation, Athens, Greece.
Domenico PalliCancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Florence, Italy.
Sara GrioniEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy.
Amalia MattielloDipartimento Di Medicina Clinica E Chirurgia, Federico II University, Naples, Italy.
Rosario TuminoCancer Registry and Histopathology Department, "Civic - M.P. Arezzo"Hospital, ASP, Ragusa, Italy.
Valentina FianoUnit of Cancer Epidemiology- CeRMS, Department of Medical Sciences, University of Turin, Turin, Italy.
N Charlotte Onland-MoretDepartment of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
Elisabete WeiderpassInternational Agency for Research on Cancer, Lyon, France.
Inger T GramDepartment of Community Medicine, University of Tromsø, The Arctic University of Norway, Tromsø, Norway.
J Ramón QuirósPublic Health Directorate, Astruias, Spain.
Leila Lujan-BarrosoUnit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO-IDIBELL), L' Hospitalet de Llobregat, Barcelona, Spain.
Maria-Jose SánchezAndalusian School of Public Health (EASP), Granada, Spain.
Sandra Colorado-YoharCIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Aurelio BarricarteCIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Pilar AmianoCIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Annika IdahlDepartment of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden.
Eva LundinDepartment of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden.
Hanna SartorDepartment of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden.
Kay-Tee KhawCancer Epidemiology Unit, University of Cambridge, Cambridge, UK.
Timothy J KeyCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
David MullerDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Elio RiboliDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Marc GunterInternational Agency for Research on Cancer, Lyon, France.
Laure DossusInternational Agency for Research on Cancer, Lyon, France.
Britton TrabertDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C, USA.
Nicolas WentzensenDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C, USA.
Rudolf KaaksDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Daniel W CramerObstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital and Harvard Medical School, 221 Longwood Avenue, Boston, MA, 02115, USA.
Shelley S TworogerDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA.
Kathryn L TerryObstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital and Harvard Medical School, 221 Longwood Avenue, Boston, MA, 02115, USA.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
Mucins and immune cell interactions in ovarian cancer pathogenesis & progressionR35CA197605 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI CRAMER, DANIEL WILLIAM · 2016 to 2022
$6.9M
Screening and Risk Biomarkers for Ovarian Cancer in EPIC SpecimensR01CA158119 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI CRAMER, DANIEL WILLIAM · 2012 to 2015
$2.0M
Redefining Normal: personalized CA125 cutpoints for ovarian cancer screeningR01CA193965 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TERRY, KATHRYN L. · 2016 to 2019
$1.6M
Obesity and Pancreatic Cancer Progression and SurvivalK07CA222159 · NCI · DANA-FARBER CANCER INST · PI BABIC, ANA · 2018 to 2022
$747k
Cancer Research UK 14136Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MR/M012190/1Medical Research Council MR/N003284/1NCI NIH HHS K07 CA222159NCI NIH HHS P01 CA087969NCI NIH HHS P30 CA023108NCI NIH HHS R01 CA158119NCI NIH HHS R01 CA 158119, R35 CA197605NCI NIH HHS R01 CA193965NCI NIH HHS R35 CA197605World Health Organization 001
6 · The paper itself

Abstract

backgroundCancer Antigen 125 (CA125) is currently the best available ovarian cancer screening biomarker. However, CA125 has been limited by low sensitivity and specificity in part due to normal variation between individuals. Personal characteristics that influence CA125 could be used to improve its performance as screening biomarker.

methodsWe developed and validated linear and dichotomous (≥35 U/mL) circulating CA125 prediction models in postmenopausal women without ovarian cancer who participated in one of five large population-based studies: Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO, n = 26,981), European Prospective Investigation into Cancer and Nutrition (EPIC, n = 861), the Nurses' Health Studies (NHS/NHSII, n = 81), and the New England Case Control Study (NEC, n = 923). The prediction models were developed using stepwise regression in PLCO and validated in EPIC, NHS/NHSII and NEC.

resultThe linear CA125 prediction model, which included age, race, body mass index (BMI), smoking status and duration, parity, hysterectomy, age at menopause, and duration of hormone therapy (HT), explained 5% of the total variance of CA125. The correlation between measured and predicted CA125 was comparable in PLCO testing dataset (r = 0.18) and external validation datasets (r = 0.14). The dichotomous CA125 prediction model included age, race, BMI, smoking status and duration, hysterectomy, time since menopause, and duration of HT with AUC of 0.64 in PLCO and 0.80 in validation dataset.

conclusionsThe linear prediction model explained a small portion of the total variability of CA125, suggesting the need to identify novel predictors of CA125. The dichotomous prediction model showed moderate discriminatory performance which validated well in independent dataset. Our dichotomous model could be valuable in identifying healthy women who may have elevated CA125 levels, which may contribute to reducing false positive tests using CA125 as screening biomarker.

Indexed as

Early Detection of CancerModels, TheoreticalAgedCA-125 AntigenFemaleHumansMiddle AgedNeoplasmsPostmenopauseCA-125 AntigenCA125Early detectionOvarian cancerPostmenopausalPrediction model

Identifiers

PMID31771659
PMCPMC6878636

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.