Literature DB >> 24938020

Autoantibodies in breast cancer.

Félix Fernández-Madrid, Marie-Claire Maroun.   

Abstract

In addition to their historical role, autoantibodies appear promising as biomarkers to facilitate diagnosis, improve patient outcome and decrease mortality in cancer. Autoantibodies may also be useful in the identification of subjects at risk for cancer, that is, those bearing premalignant changes. Numerous studies have demonstrated that cancer serum contains a variety of autoantibodies that react with autologous cellular antigens, that is, tumor-associated antigens. Interestingly, some of these antigens are involved in signal transduction, cell cycle regulation, cell proliferation, and apoptosis. As such, identification of these molecules has additional importance for development of novel anticancer drugs and vaccines. This review focuses on the use of autoantibodies in breast cancer, a major public health problem. We also address the need for additional research to validate this approach in cancer diagnostics and therapeutics in general.

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Year:  2014        PMID: 24938020     DOI: 10.1016/b978-0-12-800263-6.00005-7

Source DB:  PubMed          Journal:  Adv Clin Chem        ISSN: 0065-2423            Impact factor:   5.394


  3 in total

1.  Establishment and validation of an immunodiagnostic model for prediction of breast cancer.

Authors:  Cuipeng Qiu; Peng Wang; Bofei Wang; Jianxiang Shi; Xiao Wang; Tiandong Li; Jiejie Qin; Liping Dai; Hua Ye; Jianying Zhang
Journal:  Oncoimmunology       Date:  2019-10-28       Impact factor: 8.110

Review 2.  Antibody Diversity in Cancer: Translational Implications and Beyond.

Authors:  Raghuram Reddy; Joel Mintz; Roei Golan; Fakiha Firdaus; Roxana Ponce; Derek Van Booven; Aysswarya Manoharan; Isabelle Issa; Bonnie B Blomberg; Himanshu Arora
Journal:  Vaccines (Basel)       Date:  2022-07-22

3.  Longitudinal autoantibody responses against tumor-associated antigens decrease in breast cancer patients according to treatment modality.

Authors:  Rick L Evans; James V Pottala; Satoshi Nagata; Kristi A Egland
Journal:  BMC Cancer       Date:  2018-01-31       Impact factor: 4.430

  3 in total

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