Literature DB >> 21893498

Personalizing CA125 levels for ovarian cancer screening.

Oliver Dorigo1, Jonathan S Berek.   

Abstract

Screening trials for the early detection of ovarian cancer in the general population and in patients at a high risk for this disease have so far failed to show a reduction of ovarian cancer-specific mortality. Current screening modalities include pelvic examinations, transvaginal ultrasounds, and cancer antigen 125 (CA125) serum marker levels, which are associated with a high false-positive rate. The last decade has witnessed significant modifications in the interpretation of serum CA125 that extend beyond a static CA125 cutoff point. The Risk of Ovarian Cancer Algorithm (ROCA) incorporates changes of CA125 levels over time and an individual's age-specific risk. Ongoing screening trials have incorporated ROCA, but it is still unclear whether the algorithm will increase the sensitivity and specificity of early ovarian cancer diagnosis. A very recent study analyzed baseline CA125 serum marker levels from high-risk patients included in ovarian cancer screening trials conducted by the Cancer Genetics Network and the Gynecologic Oncology Group. The findings show that the distribution of CA125 serum marker levels in this population is significantly affected by various demographic and clinical factors, in particular menopausal status and oral contraceptive use in premenopausal patients. The data suggest that CA125 cutoff points might have to be stratified for subgroups of patients to reduce false-positive results. These intriguing observations will need to be validated in future screening trials for ovarian cancer. ©2011 AACR.

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Year:  2011        PMID: 21893498     DOI: 10.1158/1940-6207.CAPR-11-0378

Source DB:  PubMed          Journal:  Cancer Prev Res (Phila)        ISSN: 1940-6215


  26 in total

Review 1.  Modern trends into the epidemiology and screening of ovarian cancer. Genetic substrate of the sporadic form.

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

2.  [Diagnostic value of CA125, HE4 and Copenhagen Index in differentiating benign from malignant epithelial ovarian tumors].

Authors:  Shi-Peng Gong; Yong-Ning Chen; Ya-di Zhang; Wei Yao; Li Chen; Shi-San Liu; Huan Wu
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-05-20

3.  Evaluation of microsatellite instability in women with epithelial ovarian cancer.

Authors:  Leonardo Pandolfi Caliman; Rubens Lene Carvalho Tavares; Josiane Barbosa Piedade; Ana Carolina Silvano Couto DE Assis; Karen DE Jesus Dias DA Cunha; Letícia DA Conceição Braga; Luciana Maria Silva; Agnaldo Lopes DA Silva Filho
Journal:  Oncol Lett       Date:  2012-06-27       Impact factor: 2.967

4.  Elevated growth differentiation factor 15 expression predicts poor prognosis in epithelial ovarian cancer patients.

Authors:  Ying Zhang; Wei Hua; Li-Chun Niu; Shi-Mei Li; Ying-Mei Wang; Lei Shang; Cun Zhang; Wei-Na Li; Rui Wang; Bi-Liang Chen; Xiao-Yan Xin; Ying-Qi Zhang; Jian Wang
Journal:  Tumour Biol       Date:  2016-01-18

5.  Clinical value of TV-CDS combined with serum tumor markers in diagnosis of ovarian cancer.

Authors:  Chunying Yu; Ting Dou; Yun Liu; Ruirong Liu
Journal:  Oncol Lett       Date:  2020-06-05       Impact factor: 2.967

6.  A multiplexable, microfluidic platform for the rapid quantitation of a biomarker panel for early ovarian cancer detection at the point-of-care.

Authors:  Basil H Shadfan; Archana R Simmons; Glennon W Simmons; Andy Ho; Jorge Wong; Karen H Lu; Robert C Bast; John T McDevitt
Journal:  Cancer Prev Res (Phila)       Date:  2014-11-11

7.  High serum carbohydrate antigen-125 (CA-125) level predicts poor outcome in patients with follicular lymphoma independently of the FLIPI score.

Authors:  Vít Procházka; Edgar Faber; Luděk Raida; Zuzana Kapitáňová; Kateřina Langová; Karel Indrák; Tomáš Papajík
Journal:  Int J Hematol       Date:  2012-05-26       Impact factor: 2.490

Review 8.  Screening for cancer with molecular markers: progress comes with potential problems.

Authors:  John A Baron
Journal:  Nat Rev Cancer       Date:  2012-04-12       Impact factor: 60.716

Review 9.  Challenging and complex decisions in the management of the BRCA mutation carrier.

Authors:  Daniela L Stan; Lynne T Shuster; Myra J Wick; Casey L Swanson; Sandhya Pruthi; Jamie N Bakkum-Gamez
Journal:  J Womens Health (Larchmt)       Date:  2013-08-29       Impact factor: 2.681

10.  Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker.

Authors:  Abolfazl Zargari; Yue Du; Morteza Heidari; Theresa C Thai; Camille C Gunderson; Kathleen Moore; Robert S Mannel; Hong Liu; Bin Zheng; Yuchen Qiu
Journal:  Phys Med Biol       Date:  2018-08-06       Impact factor: 3.609

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