Literature DB >> 18245537

Use of a combination of approaches to identify and validate relevant tumor-associated antigens and their corresponding autoantibodies in ovarian cancer patients.

Audrey Gagnon1, Jae-Hoon Kim, John O Schorge, Bin Ye, Brian Liu, Kathleen Hasselblatt, William R Welch, Christina A Bandera, Samuel C Mok.   

Abstract

PURPOSE: Novel biomarkers are urgently needed to increase the sensitivity of CA125 for the early detection of ovarian cancer. Indeed, it has been shown that as much as 20% of early-stage patients do not express significant levels of this biomarker. Therefore, the possibility of using autoantibodies directed against tumor-associated antigens as putative cancer markers is being more examined. Indeed, many autoantibodies have recently been shown to correlate with cancer patient prognosis or to be suitable for detection of the disease. EXPERIMENTAL
DESIGN: In this study, we have used a new approach involving the use of proteomics, immunology, and ELISA methods to identify relevant autoantibodies in the plasma of ovarian cancer patients. To do so, we developed an innovative technique called two-dimensional differential gel electrophoresis analysis of immunoprecipitated tumor antigens.
RESULTS: This strategy allowed us to successfully identify novel circulating autoantibodies directed against the S100A7 protein in the plasma of ovarian cancer patients. Further real-time reverse transcription-PCR and immunohistochemical studies confirmed that the S100A7 mRNA and protein were highly expressed in ovarian tumors but absent in normal and benign tissues. Moreover, a preliminary study involving 138 patients confirmed that the plasma levels of anti-S100A7 antibodies are significantly elevated in early- and late-stage ovarian cancer patients compared with healthy controls and with patients with benign gynecologic diseases.
CONCLUSIONS: This shows that our approach is a valuable tool to successfully identify autoantibodies and tumor-associated antigens in cancer patients and that future research assessing their putative clinical usefulness would be worthwhile.

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Year:  2008        PMID: 18245537     DOI: 10.1158/1078-0432.CCR-07-0856

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  24 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.  Multifarious diagnostic possibilities of the S100 protein family: predominantly in pediatrics and neonatology.

Authors:  Anna Medkova; Josef Srovnal; Jarmila Potomkova; Jana Volejnikova; Vladimir Mihal
Journal:  World J Pediatr       Date:  2018-06-01       Impact factor: 2.764

3.  High-throughput assessment of the antibody profile in ovarian cancer ascitic fluids.

Authors:  Frank Antony; Cecilia Deantonio; Diego Cotella; Maria Felicia Soluri; Olga Tarasiuk; Francesco Raspagliesi; Fulvio Adorni; Silvano Piazza; Yari Ciani; Claudio Santoro; Paolo Macor; Delia Mezzanzanica; Daniele Sblattero
Journal:  Oncoimmunology       Date:  2019-06-04       Impact factor: 8.110

4.  Patient-derived tumor-reactive antibodies as diagnostic markers for ovarian cancer.

Authors:  Douglas D Taylor; Cicek Gercel-Taylor; Lynn P Parker
Journal:  Gynecol Oncol       Date:  2009-07-31       Impact factor: 5.482

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

6.  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

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

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

8.  Structural and functional characterization of a triple mutant form of S100A7 defective for Jab1 binding.

Authors:  Nathan R West; Benjamin Farnell; Jill I Murray; Fraser Hof; Peter H Watson; Martin J Boulanger
Journal:  Protein Sci       Date:  2009-12       Impact factor: 6.725

9.  Diagnostic and prognostic significance of serum apolipoprotein C-I in triple-negative breast cancer based on mass spectrometry.

Authors:  Dongjian Song; Lifang Yue; Junjie Zhang; Shanshan Ma; Wei Zhao; Fei Guo; Yingzhong Fan; Heying Yang; Qiuliang Liu; Da Zhang; Ziqiang Xia; Pan Qin; Jia Jia; Ming Yue; Jiekai Yu; Shu Zheng; Fuquan Yang; Jiaxiang Wang
Journal:  Cancer Biol Ther       Date:  2016-06-03       Impact factor: 4.742

10.  Comparative proteomics analysis of human gastric cancer.

Authors:  Wei Li; Jian-Fang Li; Ying Qu; Xue-Hua Chen; Jian-Min Qin; Qin-Long Gu; Min Yan; Zheng-Gang Zhu; Bing-Ya Liu
Journal:  World J Gastroenterol       Date:  2008-10-07       Impact factor: 5.742

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