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Sökning: onr:"swepub:oai:DiVA.org:umu-166388" > Development and val...

Development and validation of circulating CA125 prediction models in postmenopausal women

Sasamoto, Naoko (författare)
Brigham and Women's Hospital / Harvard Medical School
Babic, Ana (författare)
Dana-Farber Cancer Institute
Rosner, Bernard A. (författare)
Brigham and Women's Hospital / Harvard Medical School,Harvard Medical School
visa fler...
Fortner, Renee T. (författare)
German Cancer Research Centre
Vitonis, Allison F. (författare)
Brigham and Women's Hospital / Harvard Medical School,Harvard Medical School
Yamamoto, Hidemi (författare)
Brigham and Women's Hospital / Harvard Medical School
Fichorova, Raina N. (författare)
Brigham and Women's Hospital / Harvard Medical School
Titus, Linda J. (författare)
Dartmouth College,Norris Cotton Cancer Center
Tjonneland, Anne (författare)
Danish Cancer Society,University of Copenhagen
Hansen, Louise (författare)
Danish Cancer Society
Kvaskoff, Marina (författare)
Centre for Research in Epidemiology and Population Health (CESP),Institut Gustave Roussy
Fournier, Agnes (författare)
Centre for Research in Epidemiology and Population Health (CESP),Institut Gustave Roussy
Mancini, Francesca Romana (författare)
Institut Gustave Roussy,Centre for Research in Epidemiology and Population Health (CESP)
Boeing, Heiner (författare)
German Institute of Human Nutrition
Trichopoulou, Antonia (författare)
Hellenic Health Foundation, Athens,National and Kapodistrian University of Athens
Peppa, Eleni (författare)
Hellenic Health Foundation, Athens
Karakatsani, Anna (författare)
National and Kapodistrian University of Athens,Hellenic Health Foundation, Athens
Palli, Domenico (författare)
Institute for Cancer Research, Prevention and Clinical Network (ISPRO)
Grioni, Sara (författare)
Istituto Nazionale dei Tumori
Mattiello, Amalia (författare)
University of Naples Federico II
Tumino, Rosario (författare)
Civic and M.P Arezzo Hospital
Fiano, Valentina (författare)
University of Turin
Onland-Moret, N. Charlotte (författare)
University Medical Center Utrecht,Utrecht University
Weiderpass, Elisabete (författare)
International Agency for Research on Cancer, World Health Organization
Gram, Inger T. (författare)
UiT The Arctic University of Norway, Tromsø
Quiros, J. Ramon (författare)
Public Health Directorate
Lujan-Barroso, Leila (författare)
Bellvitge University Hospital-IDIBELL,Catalan Institute of Oncology
Sanchez, Maria-Jose (författare)
University of Granada,Andalusian School Of Public Health (EASP),CIBER Epidemiology and Public Health (CIBERESP)
Colorado-Yohar, Sandra (författare)
University of Antioquia,CIBER Epidemiology and Public Health (CIBERESP),Murcia Regional Health Council
Barricarte, Aurelio (författare)
CIBER Epidemiology and Public Health (CIBERESP)
Amiano, Pilar (författare)
CIBER Epidemiology and Public Health (CIBERESP)
Idahl, Annika, 1965- (författare)
Umeå University,Umeå universitet,Obstetrik och gynekologi
Lundin, Eva (författare)
Umeå University,Umeå universitet,Patologi
Sartor, Hanna (författare)
Lund University,Lunds universitet,Diagnostisk radiologi, Malmö,Forskargrupper vid Lunds universitet,Radiology Diagnostics, Malmö,Lund University Research Groups,Skåne University Hospital
Khaw, Kay-Tee (författare)
University of Cambridge
Key, Timothy J. (författare)
University of Oxford
Muller, David (författare)
Imperial College London
Riboli, Elio (författare)
Imperial College London
Gunter, Marc (författare)
International Agency for Research on Cancer, World Health Organization
Dossus, Laure (författare)
International Agency for Research on Cancer, World Health Organization
Trabert, Britton (författare)
National Cancer Institute, USA
Wentzensen, Nicolas (författare)
National Cancer Institute, USA
Kaaks, Rudolf (författare)
German Cancer Research Centre
Cramer, Daniel W. (författare)
Brigham and Women's Hospital / Harvard Medical School,Harvard Medical School
Tworoger, Shelley S. (författare)
Harvard University,H. Lee Moffitt Cancer Center & Research Institute
Terry, Kathryn L. (författare)
Harvard University,Brigham and Women's Hospital / Harvard Medical School
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 (creator_code:org_t)
2019-11-26
2019
Engelska.
Ingår i: Journal of Ovarian Research. - : BioMed Central (BMC). - 1757-2215. ; 12:1
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Background: Cancer 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.Methods: We 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. Result The 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.Conclusions: The 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.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Reproduktionsmedicin och gynekologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Obstetrics, Gynaecology and Reproductive Medicine (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

Nyckelord

Ovarian cancer
Early detection
CA125
Prediction model
Postmenopausal
CA125
Early detection
Ovarian cancer
Postmenopausal
Prediction model

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