Literature DB >> 10717627

Clinical significance of serum and ascitic p53 autoantibodies in epithelial ovarian carcinoma.

B Abendstein1, C Marth, E Müller-Holzner, M Widschwendter, G Daxenbichler, A G Zeimet.   

Abstract

BACKGROUND: Accumulation of mutated p53 in malignant cells can lead to the generation of anti-p53 autoantibodies in the serum and other body fluids of cancer patients. This retrospective study was performed to evaluate the prognostic significance of preoperative serum and ascitic anti-p53 antibodies in advanced ovarian carcinoma.
METHODS: In 113 ovarian carcinoma patients who presented with significant amounts of ascites, anti-p53 autoantibodies were determined by a highly specific enzyme-linked immunosorbent assay of blood and ascites. Disease free and overall survival of study patients was estimated by the product limit method of Kaplan and Meier. Differences in survival were examined according to criteria of Mantel and Breslow. A multiple regression analysis based on the Cox proportional hazards model was used to determine the independence of prognostic variables.
RESULTS: Serum and ascitic anti-p53 antibodies were found in 28 (25%) and 21 (19%) of the study patients, respectively. In univariate analysis, detection of anti-p53 antibodies in ascites but not in serum was found to be a sign of unfavorable disease free survival (P<0.003) and overall survival (P < 0.01). Multivariate analysis revealed that anti-p53 positivity in ascites retained independent significance only in the prediction of adverse progression free survival (P<0.01).
CONCLUSIONS: The generation of a humoral immune response against p53 protein in the close tumor environment, as demonstrated by the occurrence of p53 autoantibodies in the ascitic fluid of ovarian carcinoma patients, is associated with poor disease free survival. Copyright 2000 American Cancer Society.

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Year:  2000        PMID: 10717627     DOI: 10.1002/(sici)1097-0142(20000315)88:6<1432::aid-cncr22>3.0.co;2-8

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


  18 in total

1.  Autoantibody biomarkers identified by proteomics methods distinguish ovarian cancer from non-ovarian cancer with various CA-125 levels.

Authors:  Aykan A Karabudak; Julie Hafner; Vivekananda Shetty; Songming Chen; Angeles Alvarez Secord; Michael A Morse; Ramila Philip
Journal:  J Cancer Res Clin Oncol       Date:  2013-09-03       Impact factor: 4.553

Review 2.  A systematic review of humoral immune responses against tumor antigens.

Authors:  Miriam Reuschenbach; Magnus von Knebel Doeberitz; Nicolas Wentzensen
Journal:  Cancer Immunol Immunother       Date:  2009-06-28       Impact factor: 6.968

Review 3.  Adenocarcinoma cells in effusion cytology as a diagnostic pitfall with potential impact on clinical management: a case report with brief review of immunomarkers.

Authors:  Sinchita Roy Chowdhuri; Patricia Fetsch; Jennifer Squires; Elise Kohn; Armando C Filie
Journal:  Diagn Cytopathol       Date:  2012-11-16       Impact factor: 1.582

Review 4.  Cancer and autoimmunity: autoimmune and rheumatic features in patients with malignancies.

Authors:  M Abu-Shakra; D Buskila; M Ehrenfeld; K Conrad; Y Shoenfeld
Journal:  Ann Rheum Dis       Date:  2001-05       Impact factor: 19.103

5.  p53 autoantibodies as potential detection and prognostic biomarkers in serous ovarian cancer.

Authors:  Karen S Anderson; Jessica Wong; Allison Vitonis; Christopher P Crum; Patrick M Sluss; Joshua Labaer; Daniel Cramer
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-03-03       Impact factor: 4.254

Review 6.  Clinical utility of anti-p53 auto-antibody: systematic review and focus on colorectal cancer.

Authors:  Aravind Suppiah; John Greenman
Journal:  World J Gastroenterol       Date:  2013-08-07       Impact factor: 5.742

7.  Autoantibodies to tumor-associated antigens in epithelial ovarian carcinoma.

Authors:  Benjamin Piura; Ettie Piura
Journal:  J Oncol       Date:  2010-01-17       Impact factor: 4.375

8.  Autoantibodies to tumor-associated antigens in breast carcinoma.

Authors:  Ettie Piura; Benjamin Piura
Journal:  J Oncol       Date:  2010-11-21       Impact factor: 4.375

9.  A Model-Based Personalized Cancer Screening Strategy for Detecting Early-Stage Tumors Using Blood-Borne Biomarkers.

Authors:  Sharon Seiko Hori; Amelie M Lutz; Ramasamy Paulmurugan; Sanjiv Sam Gambhir
Journal:  Cancer Res       Date:  2017-03-10       Impact factor: 12.701

10.  p53 autoantibodies, cytokine levels and ovarian carcinogenesis.

Authors:  Miyun Tsai-Turton; Antonio Santillan; Dan Lu; Robert E Bristow; Kwun C Chan; Ie-Ming Shih; Richard B S Roden
Journal:  Gynecol Oncol       Date:  2009-04-26       Impact factor: 5.482

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