Literature DB >> 12743136

Calculation of the risk of ovarian cancer from serial CA-125 values for preclinical detection in postmenopausal women.

Steven J Skates1, Usha Menon, Nicola MacDonald, Adam N Rosenthal, David H Oram, Robert C Knapp, Ian J Jacobs.   

Abstract

PURPOSE: Previous studies of CA-125 levels from screening trials for ovarian cancer have indicated that serial CA-125 levels may identify cases better than a fixed CA-125 cutoff. We conducted a study to assess the screening performance of the risk of ovarian cancer calculation based on serial CA-125 levels from prospectively collected serum samples compared with a fixed CA-125 cutoff. PATIENTS AND METHODS: The calculation was applied to data from a prospective trial of screening for ovarian cancer involving 22,000 postmenopausal women older than 45 years. The analysis was performed using 33,621 CA-125 results from 9,233 women for whom two or more serial samples were available. All serum samples from the patients with ovarian cancer were obtained before clinical detection. Sensitivity and specificity levels for preclinical detection of index cancers were calculated for various cutoffs for the risk and a single CA-125 measurement, and receiver operator curves were constructed.
RESULTS: The risk calculation significantly improved the area under the curve from 84% to 93% compared with a fixed cutoff for CA-125 (P =.01). For a target specificity of 98%, the risk achieved a sensitivity of 86% for preclinical detection of ovarian cancer, whereas CA-125 achieved a sensitivity of 62%. The estimates of performance are unbiased, because the risk calculation was derived independent of the data from this trial.
CONCLUSION: These results provide the first evidence that preclinical detection of ovarian cancer using serial CA-125 levels interpreted with the risk calculation significantly improves screening performance compared with a fixed cutoff for CA-125. The results justify the incorporation of the risk calculation in a prospective, randomized, controlled trial.

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Year:  2003        PMID: 12743136     DOI: 10.1200/JCO.2003.02.955

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  58 in total

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Authors:  Maria Koutsaki; Apostolos Zaravinos; Demetrios A Spandidos
Journal:  Pathol Oncol Res       Date:  2011-12-09       Impact factor: 3.201

Review 2.  Ovarian cancer screening.

Authors:  Usha Menon
Journal:  CMAJ       Date:  2004-08-17       Impact factor: 8.262

3.  Investigation of the ovarian and prostate cancer peptidome for candidate early detection markers using a novel nanoparticle biomarker capture technology.

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Journal:  AAPS J       Date:  2010-06-12       Impact factor: 4.009

4.  Serum levels of the ovarian cancer biomarker HE4 are decreased in pregnancy and increase with age.

Authors:  Richard G Moore; Michael Craig Miller; Elizabeth E Eklund; Karen H Lu; Robert C Bast; Geralyn Lambert-Messerlian
Journal:  Am J Obstet Gynecol       Date:  2011-12-30       Impact factor: 8.661

5.  Screening for ovarian cancer: imaging challenges and opportunities for improvement.

Authors:  K B Mathieu; D G Bedi; S L Thrower; A Qayyum; R C Bast
Journal:  Ultrasound Obstet Gynecol       Date:  2018-03       Impact factor: 7.299

Review 6.  Contemporary progress in ovarian cancer screening.

Authors:  Christine S Walsh; B Y Karlan
Journal:  Curr Oncol Rep       Date:  2007-11       Impact factor: 5.075

7.  Early detection of ovarian cancer.

Authors:  Partha M Das; Robert C Bast
Journal:  Biomark Med       Date:  2008-06       Impact factor: 2.851

8.  CA125 in ovarian cancer.

Authors:  Nathalie Scholler; Nicole Urban
Journal:  Biomark Med       Date:  2007-12       Impact factor: 2.851

Review 9.  Molecular signatures of ovarian cancer: from detection to prognosis.

Authors:  Christine S Walsh; Beth Y Karlan
Journal:  Mol Diagn Ther       Date:  2010-02-01       Impact factor: 4.074

10.  A prospective study of risk-reducing salpingo-oophorectomy and longitudinal CA-125 screening among women at increased genetic risk of ovarian cancer: design and baseline characteristics: a Gynecologic Oncology Group study.

Authors:  Mark H Greene; Marion Piedmonte; Dave Alberts; Mitchell Gail; Martee Hensley; Zoe Miner; Phuong L Mai; Jennifer Loud; Gustavo Rodriguez; Jack Basil; John Boggess; Peter E Schwartz; Joseph L Kelley; Katie E Wakeley; Lori Minasian; Stephen Skates
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-03       Impact factor: 4.254

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