Literature DB >> 23065684

Potential effect of the risk of ovarian cancer algorithm (ROCA) on the mortality outcome of the Prostate, Lung, Colorectal and Ovarian (PLCO) trial.

Paul F Pinsky1, Claire Zhu, Steve J Skates, Amanda Black, Edward Partridge, Saundra S Buys, Christine D Berg.   

Abstract

Recently, the Prostate, Lung, Colorectal and Ovarian (PLCO) Trial reported no mortality benefit for annual screening with CA-125 and transvaginal ultrasound (TVU). Currently ongoing is the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS), which utilizes the risk of ovarian cancer algorithm (ROCA), a statistical tool that considers current and past CA125 values to determine ovarian cancer risk. In contrast, PLCO used a single cutoff for CA125, based on current levels alone. We investigated whether having had used ROCA in PLCO could have, under optimal assumptions, resulted in a significant mortality benefit by applying ROCA to PLCO CA125 screening values. A best-case scenario assumed that all cancers showing a positive screen result earlier with ROCA than under the PLCO protocol would have avoided mortality; under a stage-shift scenario, such women were assigned survival equivalent to Stage I/II screen-detected cases. Updated PLCO data show 132 intervention arm ovarian cancer deaths versus 119 in usual care (relative risk, RR = 1.11). Forty-three ovarian cancer cases, 25 fatal, would have been detected earlier with ROCA, with a median (minimum) advance time for fatal cases of 344 (147) days. Best-case and stage-shift scenarios gave 25 and 19 deaths prevented with ROCA, for RRs of 0.90 (95% CI: 0.69-1.17) and 0.95 (95% CI: 0.74-1.23), respectively. Having utilized ROCA in PLCO would not have led to a significant mortality benefit of screening. However, ROCA could still show a significant effect in other screening trials, including UKCTOCS.
Copyright © 2012 UICC.

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Year:  2012        PMID: 23065684     DOI: 10.1002/ijc.27909

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  16 in total

1.  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

2.  Ovarian tumor-initiating cells display a flexible metabolism.

Authors:  Angela S Anderson; Paul C Roberts; Madlyn I Frisard; Matthew W Hulver; Eva M Schmelz
Journal:  Exp Cell Res       Date:  2014-08-27       Impact factor: 3.905

3.  Leveraging biospecimen resources for discovery or validation of markers for early cancer detection.

Authors:  Sheri D Schully; Danielle M Carrick; Leah E Mechanic; Sudhir Srivastava; Garnet L Anderson; John A Baron; Christine D Berg; Jennifer Cullen; Eleftherios P Diamandis; V Paul Doria-Rose; Katrina A B Goddard; Susan E Hankinson; Lawrence H Kushi; Eric B Larson; Lisa M McShane; Richard L Schilsky; Steven Shak; Steven J Skates; Nicole Urban; Barnett S Kramer; Muin J Khoury; David F Ransohoff
Journal:  J Natl Cancer Inst       Date:  2015-02-16       Impact factor: 13.506

4.  Extended mortality results for ovarian cancer screening in the PLCO trial with median 15years follow-up.

Authors:  Paul F Pinsky; Kelly Yu; Barnett S Kramer; Amanda Black; Saundra S Buys; Edward Partridge; John Gohagan; Christine D Berg; Philip C Prorok
Journal:  Gynecol Oncol       Date:  2016-09-09       Impact factor: 5.482

5.  Analysis of serial ovarian volume measurements and incidence of ovarian cancer: implications for pathogenesis.

Authors:  Clara Bodelon; Ruth M Pfeiffer; Saundra S Buys; Amanda Black; Mark E Sherman
Journal:  J Natl Cancer Inst       Date:  2014-09-13       Impact factor: 13.506

Review 6.  Biomarker testing for ovarian cancer: clinical utility of multiplex assays.

Authors:  Brian M Nolen; Anna E Lokshin
Journal:  Mol Diagn Ther       Date:  2013-06       Impact factor: 4.074

Review 7.  In 2014, can we do better than CA125 in the early detection of ovarian cancer?

Authors:  Joshua G Cohen; Matthew White; Ana Cruz; Robin Farias-Eisner
Journal:  World J Biol Chem       Date:  2014-08-26

Review 8.  Reducing Ovarian Cancer Mortality Through Early Detection: Approaches Using Circulating Biomarkers.

Authors:  Camille V Trinidad; Ashley L Tetlow; Leonidas E Bantis; Andrew K Godwin
Journal:  Cancer Prev Res (Phila)       Date:  2020-03

Review 9.  Risk-reducing bilateral salpingo-oophorectomy in women with BRCA1 or BRCA2 mutations.

Authors:  George U Eleje; Ahizechukwu C Eke; Ifeanyichukwu U Ezebialu; Joseph I Ikechebelu; Emmanuel O Ugwu; Onyinye O Okonkwo
Journal:  Cochrane Database Syst Rev       Date:  2018-08-24

10.  Preoperative Prediction of Metastasis for Ovarian Cancer Based on Computed Tomography Radiomics Features and Clinical Factors.

Authors:  Yao Ai; Jindi Zhang; Juebin Jin; Ji Zhang; Haiyan Zhu; Xiance Jin
Journal:  Front Oncol       Date:  2021-06-10       Impact factor: 6.244

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