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PMID: 16174214 Published · ppublish English Journal Article

CA125 in ovarian cancer: European Group on Tumor Markers guidelines for clinical use.

Duffy MJ, Bonfrer JM, Kulpa J, Rustin GJ, Soletormos G, Torre GC, Tuxen MK, Zwirner M

Abstract

CA125 is currently the most widely used tumor marker for ovarian epithelial cancer. The aim of this article is to provide guidelines for the routine clinical use of CA125 in patients with ovarian cancer. Due to lack of sensitivity for stage I disease and lack of specificity, CA125 is of little value in the detection of early ovarian cancer. At present, therefore, CA125, either alone or in combination with other modalities, cannot be recommended for screening for ovarian cancer in asymptomatic women outside the context of a randomized controlled trial. Preoperative levels in postmenopausal women, however, may aid the differentiation of benign and malignant pelvic masses. Serial levels during chemotherapy for ovarian cancer are useful for assessing response to treatment. Although serial monitoring following initial chemotherapy can lead to the early detection of recurrent disease, the clinical value of this lead-time is unclear. CA125 is the ovarian cancer marker against which new markers for this malignancy should be judged.

MeSH Terms
Biomarkers, Tumor/blood CA-125 Antigen/blood Diagnosis, Differential Europe Female Follow-Up Studies Humans Middle Aged Ovarian Neoplasms/blood,pathology,therapy Prognosis Societies, Scientific
Chemicals
Biomarkers, Tumor CA-125 Antigen
Authors & Affiliations
8 authors, click to expand affiliations / ORCID
Duffy M J
Department of Nuclear Medicine, St Vincent's University Hospital, Dublin, Ireland. michael.j.duffy@ucd.ie
Bonfrer J M
Kulpa J
Rustin G J S
Soletormos G
Torre G C
Tuxen M K
Zwirner M
Article Info
Journal
International journal of gynecological cancer : official journal of the International Gynecological Cancer Society
Abbr.
Int J Gynecol Cancer
ISSN
1048-891X
Published
2005-00-00
Pages
679-91
Language
English
Region
England
NLM ID
9111626
Subset
IM
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