Literature DB >> 12404282

Comparative analysis of CA125, tissue polypeptide specific antigen, and soluble interleukin-2 receptor alpha levels in sera, cyst, and ascitic fluids from patients with ovarian carcinoma.

Paweł Sedlaczek1, Irena Frydecka, Marian Gabryś, Arie Van Dalen, Roland Einarsson, Antonina Harłozińska.   

Abstract

BACKGROUND: The serum markers CA125, tissue polypeptide specific antigen (TPS), and soluble interleukin-2 receptor alpha (sIL-2Ralpha) concentrations were determined in sera, cyst, and ascitic fluids from patients with malignant and benign ovarian neoplasms.
METHODS: CA125, TPS, and sIL-2Ralpha concentrations were measured in sera, cyst, and ascitic fluids by immunoassays in 67 patients with carcinoma and in 32 patients with benign ovarian neoplasms.
RESULTS: CA125, TPS, and sIL-2Ralpha levels were elevated significantly in sera from patients who had ovarian carcinoma compared with patients who had benign neoplasms (P < 0.001). Patients who had International Federation of Gynecology and Obstetrics (FIGO) Stage III-IV disease had significantly higher serum levels for the markers studied compared with patients who had FIGO Stage I-II disease (P < 0.001 for CA125; P = 0.02 for TPS and sIL-2Ralpha). Concurrent measurement of CA125 and sIL-2Ralpha in sera identified 100% of ovarian carcinomas in FIGO Stage I-II. All patients with carcinoma demonstrated markedly higher levels of CA125 and TPS for both cyst and ascites compared with corresponding sera (P < 0.001). The level of sIL-2Ralpha was higher statistically in ascitic fluid compared with the level in serum (P < 0.001); however, its values in sera and cyst fluids were comparable. In ascitic fluid, the CA125 level was significantly higher in patients who had FIGO Stage III-IV disease compared with patients who had FIGO Stage I-II disease (P = 0.002), whereas such correlations were not found for TPS or sIL-2Ralpha. In cyst fluids, the levels of all studied markers were independent of the FIGO stage. In cyst fluids from patients with benign ovarian neoplasms, TPS and sIL-2Ralpha levels were significantly lower compared with the levels in patients with ovarian carcinoma (P < 0.001), whereas the values of CA125 were overlapping. CA125 and TPS concentrations were higher in cyst fluids compared with corresponding sera, whereas sIL-2Ralpha levels were comparable and low in cyst fluids and in the circulation of patients with benign neoplasms.
CONCLUSIONS: In patients with ovarian carcinoma, TPS and CA125 concentrations were significantly higher in the place of their generation compared with the concentrations in blood circulation. sIL-2Ralpha values were higher in ascites compared with the values in corresponding sera, and its concentrations in sera and cyst fluids were comparable. The assessment of serum sIL-2Ralpha levels showed potential complementary value to CA125 for the detection of ovarian carcinoma in early FIGO stages; however, a 9% false positive rate limited the significance of cumulative value for a combination of these circulating markers. Copyright 2002 American Cancer Society.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12404282     DOI: 10.1002/cncr.10917

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  15 in total

1.  Comparative analysis of CA 125, ferritin, beta-2 microglobulin, lactic dehydrogenase levels in serum and peritoneal fluid in patients with ovarian neoplasia.

Authors:  Umran Kucukgoz Gulec; Semra Paydas; Ahmet Baris Guzel; Selim Buyukkurt; Gulsah Seydaoglu; Mehmet Ali Vardar
Journal:  Med Oncol       Date:  2012-01-25       Impact factor: 3.064

2.  Serum HE4 is more suitable as a biomarker than CA125 in Chinese women with benign gynecologic disorders.

Authors:  Yan Zhang; Chunxia Qiao; Lian Li; Xuye Zhao; Yali Li
Journal:  Afr Health Sci       Date:  2014-12       Impact factor: 0.927

3.  Integrated proteomic profiling of cell line conditioned media and pancreatic juice for the identification of pancreatic cancer biomarkers.

Authors:  Shalini Makawita; Chris Smith; Ihor Batruch; Yingye Zheng; Felix Rückert; Robert Grützmann; Christian Pilarsky; Steven Gallinger; Eleftherios P Diamandis
Journal:  Mol Cell Proteomics       Date:  2011-06-07       Impact factor: 5.911

4.  A unified sample preparation protocol for proteomic and genomic profiling of cervical swabs to identify biomarkers for cervical cancer screening.

Authors:  Janet S Rader; James P Malone; Julia Gross; Petra Gilmore; Rebecca A Brooks; Loan Nguyen; Dan L Crimmins; Sheng Feng; Jason D Wright; Nicholas Taylor; Israel Zighelboim; Margo C Funk; Phyllis C Huettner; Jack H Ladenson; David Gius; R Reid Townsend
Journal:  Proteomics Clin Appl       Date:  2008-10-22       Impact factor: 3.494

5.  Identification of prostate-enriched proteins by in-depth proteomic analyses of expressed prostatic secretions in urine.

Authors:  Simona Principe; Yunee Kim; Simona Fontana; Vladimir Ignatchenko; Julius O Nyalwidhe; Raymond S Lance; Dean A Troyer; Riccardo Alessandro; O John Semmes; Thomas Kislinger; Richard R Drake; Jeffrey A Medin
Journal:  J Proteome Res       Date:  2012-02-29       Impact factor: 4.466

6.  Implantable diagnostic device for cancer monitoring.

Authors:  Karen D Daniel; Grace Y Kim; Christophoros C Vassiliou; Marilyn Galindo; Alexander R Guimaraes; Ralph Weissleder; Al Charest; Robert Langer; Michael J Cima
Journal:  Biosens Bioelectron       Date:  2009-04-16       Impact factor: 10.618

7.  Statistical design for biospecimen cohort size in proteomics-based biomarker discovery and verification studies.

Authors:  Steven J Skates; Michael A Gillette; Joshua LaBaer; Steven A Carr; Leigh Anderson; Daniel C Liebler; David Ransohoff; Nader Rifai; Marina Kondratovich; Živana Težak; Elizabeth Mansfield; Ann L Oberg; Ian Wright; Grady Barnes; Mitchell Gail; Mehdi Mesri; Christopher R Kinsinger; Henry Rodriguez; Emily S Boja
Journal:  J Proteome Res       Date:  2013-10-28       Impact factor: 4.466

8.  Identification of biomarkers for ovarian cancer using strong anion-exchange ProteinChips: potential use in diagnosis and prognosis.

Authors:  Katherine R Kozak; Malaika W Amneus; Suzanne M Pusey; Feng Su; Mui N Luong; Sam A Luong; Srinivasa T Reddy; Robin Farias-Eisner
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-01       Impact factor: 11.205

9.  Affinity-free enrichment and mass spectrometry analysis of the ovarian cancer biomarker CA125 (MUC16) from patient-derived ascites.

Authors:  Naviya Schuster-Little; Roberta Fritz-Klaus; Mark Etzel; Niharika Patankar; Saahil Javeri; Manish S Patankar; Rebecca J Whelan
Journal:  Analyst       Date:  2021-01-04       Impact factor: 4.616

10.  Proteomic-based identification of haptoglobin-1 precursor as a novel circulating biomarker of ovarian cancer.

Authors:  N Ahmed; G Barker; K T Oliva; P Hoffmann; C Riley; S Reeve; A I Smith; B E Kemp; M A Quinn; G E Rice
Journal:  Br J Cancer       Date:  2004-07-05       Impact factor: 7.640

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.