Literature DB >> 24789859

Use of CA125 and HE4 serum markers to predict ovarian cancer in elevated-risk women.

Beth Y Karlan1, Jason Thorpe2, Kate Watabayashi2, Charles W Drescher3, Melanie Palomares4, Mary B Daly5, Pam Paley6, Paula Hillard7, M Robyn Andersen2, Garnet Anderson2, Ronny Drapkin8, Nicole Urban2.   

Abstract

BACKGROUND: Serum markers are used before pelvic imaging to improve specificity and positive predictive value (PPV) of ovarian cancer multimodal screening strategies.
METHODS: We conducted a randomized controlled pilot trial to estimate surgical PPV of a "2 of 3 tests positive" screening rule, and to compare use of HE4 as a first-line (Arm 1) versus a second-line (Arm 2) screen, in women at high and elevated risk for epithelial ovarian cancer (EOC) at five study sites. Semiannual screening was offered to 208 women ages 25 to 80 years with deleterious BRCA germline mutations and to 834 women ages 35 to 80 years with pedigrees suggesting inherited susceptibility. Annual screening was offered to 130 women ages 45 to 80 years (Risk Group 3) with epidemiologic and serum marker risk factors. Rising marker levels were identified using the parametric empirical Bayes algorithm.
RESULTS: Both strategies yielded surgical PPV above 25%. Protocol-indicated surgery was performed in 6 women, identifying two ovarian malignancies and yielding a surgical PPV in both arms combined of 33% (95% confidence interval: 4%-78%), 25% in Arm 1 and 50% in Arm 2. Surgical consultation was recommended for 37 women (26 in Arm 1 and 11 in Arm 2). On the basis of 12 women with at least 2 of 3 tests positive (CA125, HE4, or imaging), an intent-to-treat analysis yielded PPV of 14% in Arm 1 and 20% in Arm 2.
CONCLUSIONS: Positive screens were more frequent when HE4 was included in the primary screen. IMPACT: HE4 may be useful as a confirmatory screen when rising CA125 is used alone as a primary screen. ©2014 American Association for Cancer Research.

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Year:  2014        PMID: 24789859      PMCID: PMC4082470          DOI: 10.1158/1055-9965.EPI-13-1361

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  42 in total

1.  Factors influencing serum CA125II levels in healthy postmenopausal women.

Authors:  D K Pauler; U Menon; M McIntosh; H L Symecko; S J Skates; I J Jacobs
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2001-05       Impact factor: 4.254

2.  Ovarian cancer risk in postmenopausal women using estradiol-progestin therapy - a nationwide study.

Authors:  V Koskela-Niska; H Lyytinen; A Riska; E Pukkala; O Ylikorkala
Journal:  Climacteric       Date:  2012-05-28       Impact factor: 3.005

3.  The quest for ovarian cancer's Holy Grail: can CA-125 still be the chalice of early detection?

Authors:  Beth Y Karlan; Martin McIntosh
Journal:  J Clin Oncol       Date:  2007-04-10       Impact factor: 44.544

4.  Use of a stochastic simulation model to identify an efficient protocol for ovarian cancer screening.

Authors:  N Urban; C Drescher; R Etzioni; C Colby
Journal:  Control Clin Trials       Date:  1997-06

5.  Long term follow up of BRCA1 and BRCA2 mutation carriers with unsuspected neoplasia identified at risk reducing salpingo-oophorectomy.

Authors:  C B Powell; E M Swisher; I Cass; J McLennan; B Norquist; R L Garcia; J Lester; B Y Karlan; L Chen
Journal:  Gynecol Oncol       Date:  2013-02-04       Impact factor: 5.482

6.  Generating longitudinal screening algorithms using novel biomarkers for disease.

Authors:  Martin W McIntosh; Nicole Urban; Beth Karlan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2002-02       Impact factor: 4.254

7.  Assessing ovarian cancer risk when considering elective oophorectomy at the time of hysterectomy.

Authors:  Allison F Vitonis; Linda Titus-Ernstoff; Daniel W Cramer
Journal:  Obstet Gynecol       Date:  2011-05       Impact factor: 7.661

8.  Sensitivity and specificity of multimodal and ultrasound screening for ovarian cancer, and stage distribution of detected cancers: results of the prevalence screen of the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS).

Authors:  Usha Menon; Aleksandra Gentry-Maharaj; Rachel Hallett; Andy Ryan; Matthew Burnell; Aarti Sharma; Sara Lewis; Susan Davies; Susan Philpott; Alberto Lopes; Keith Godfrey; David Oram; Jonathan Herod; Karin Williamson; Mourad W Seif; Ian Scott; Tim Mould; Robert Woolas; John Murdoch; Stephen Dobbs; Nazar N Amso; Simon Leeson; Derek Cruickshank; Alistair McGuire; Stuart Campbell; Lesley Fallowfield; Naveena Singh; Anne Dawnay; Steven J Skates; Mahesh Parmar; Ian Jacobs
Journal:  Lancet Oncol       Date:  2009-03-11       Impact factor: 41.316

9.  A 2-stage ovarian cancer screening strategy using the Risk of Ovarian Cancer Algorithm (ROCA) identifies early-stage incident cancers and demonstrates high positive predictive value.

Authors:  Karen H Lu; Steven Skates; Mary A Hernandez; Deepak Bedi; Therese Bevers; Leroy Leeds; Richard Moore; Cornelius Granai; Steven Harris; William Newland; Olasunkanmi Adeyinka; Jeremy Geffen; Michael T Deavers; Charlotte C Sun; Nora Horick; Herbert Fritsche; Robert C Bast
Journal:  Cancer       Date:  2013-08-26       Impact factor: 6.860

10.  Assessing lead time of selected ovarian cancer biomarkers: a nested case-control study.

Authors:  Garnet L Anderson; Martin McIntosh; Lieling Wu; Matt Barnett; Gary Goodman; Jason D Thorpe; Lindsay Bergan; Mark D Thornquist; Nathalie Scholler; Nam Kim; Kathy O'Briant; Charles Drescher; Nicole Urban
Journal:  J Natl Cancer Inst       Date:  2009-12-30       Impact factor: 13.506

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1.  Microvesicle Proteomic Profiling of Uterine Liquid Biopsy for Ovarian Cancer Early Detection.

Authors:  Georgina D Barnabas; Keren Bahar-Shany; Stav Sapoznik; Limor Helpman; Yfat Kadan; Mario Beiner; Omer Weitzner; Nissim Arbib; Jacob Korach; Tamar Perri; Guy Katz; Anna Blecher; Benny Brandt; Eitan Friedman; David Stockheim; Ariella Jakobson-Setton; Ram Eitan; Shunit Armon; Hadar Brand; Oranit Zadok; Sarit Aviel-Ronen; Michal Harel; Tamar Geiger; Keren Levanon
Journal:  Mol Cell Proteomics       Date:  2019-02-13       Impact factor: 5.911

2.  Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours.

Authors:  Sara Ricardo; Lara Marcos-Silva; Daniela Pereira; Rita Pinto; Raquel Almeida; Ola Söderberg; Ulla Mandel; Henrik Clausen; Ana Felix; Nuno Lunet; Leonor David
Journal:  Mol Oncol       Date:  2014-10-22       Impact factor: 6.603

3.  False-positive screening events and worry influence decisions about surgery among high-risk women.

Authors:  M Robyn Andersen; Beth Y Karlan; Charles W Drescher; Pamela Paley; Sarah Hawley; Melanie Palomares; Mary B Daly; Nicole Urban
Journal:  Health Psychol       Date:  2018-11-15       Impact factor: 5.556

4.  Quantitative analysis of cell-free DNA in ovarian cancer.

Authors:  Xuefeng Shao; Yan He; Min Ji; Xiaofang Chen; Jing Qi; Wei Shi; Tianbo Hao; Shaoqing Ju
Journal:  Oncol Lett       Date:  2015-09-30       Impact factor: 2.967

5.  MALDI-TOF-MS analysis in discovery and identification of serum proteomic patterns of ovarian cancer.

Authors:  Agata Swiatly; Agnieszka Horala; Joanna Hajduk; Jan Matysiak; Ewa Nowak-Markwitz; Zenon J Kokot
Journal:  BMC Cancer       Date:  2017-07-06       Impact factor: 4.430

6.  Evaluation of Collagen Alterations in Early Precursor Lesions of High Grade Serous Ovarian Cancer by Second Harmonic Generation Microscopy and Mass Spectrometry.

Authors:  Kristal L Gant; Alexander N Jambor; Zihui Li; Eric C Rentchler; Paul Weisman; Lingjun Li; Manish S Patankar; Paul J Campagnola
Journal:  Cancers (Basel)       Date:  2021-06-04       Impact factor: 6.575

7.  Diagnostic markers for the detection of ovarian cancer in BRCA1 mutation carriers.

Authors:  Daphne Gschwantler-Kaulich; Sigrid Weingartshofer; Christine Rappaport-Fürhauser; Robert Zeillinger; Dietmar Pils; Daniela Muhr; Elena I Braicu; Marie-Therese Kastner; Yen Y Tan; Lorenz Semmler; Jalid Sehouli; Christian F Singer
Journal:  PLoS One       Date:  2017-12-15       Impact factor: 3.240

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