Literature DB >> 23256671

Breast cancer biomarkers: proteomic discovery and translation to clinically relevant assays.

Liping Chung1, Robert C Baxter.   

Abstract

Although the molecular classification and prognostic assessment of breast tumors based on gene expression profiling is well established, a number of proteomic studies that propose potential breast cancer biomarkers has not yet led to any new diagnostic, prognostic or predictive test in wide clinical use. This review examines the current status of breast cancer biomarkers, discusses sample types (including plasma, tumor tissue, nipple aspirate and ductal lavage, as well as cell culture models) and different electrophoretic and mass spectrometry methods that have been widely used for the discovery of proteomic biomarkers in breast cancer, and also considers several approaches to biomarker validation. The pathway leading from the initial proteomic discovery and validation process to translation into a clinically useful test is also discussed.

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Year:  2012        PMID: 23256671     DOI: 10.1586/epr.12.62

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  12 in total

1.  Bayesian proteoform modeling improves protein quantification of global proteomic measurements.

Authors:  Bobbie-Jo M Webb-Robertson; Melissa M Matzke; Susmita Datta; Samuel H Payne; Jiyun Kang; Lisa M Bramer; Carrie D Nicora; Anil K Shukla; Thomas O Metz; Karin D Rodland; Richard D Smith; Mark F Tardiff; Jason E McDermott; Joel G Pounds; Katrina M Waters
Journal:  Mol Cell Proteomics       Date:  2014-12       Impact factor: 5.911

2.  Type 1 diabetes cadaveric human pancreata exhibit a unique exocrine tissue proteomic profile.

Authors:  Chih-Wei Liu; Mark A Atkinson; Qibin Zhang
Journal:  Proteomics       Date:  2016-04-13       Impact factor: 3.984

3.  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

4.  Tropomyosin-4 correlates with higher SBR grades and tubular differentiation in infiltrating ductal breast carcinomas: an immunohistochemical and proteomics-based study.

Authors:  Maria Kabbage; Mounir Trimeche; Hela Ben Nasr; Philippe Hammann; Lauriane Kuhn; Bechr Hamrita; Karim Chahed
Journal:  Tumour Biol       Date:  2013-06-28

5.  Plasma Proteomic Profiling in Hereditary Breast Cancer Reveals a BRCA1-Specific Signature: Diagnostic and Functional Implications.

Authors:  Domenica Scumaci; Laura Tammè; Claudia Vincenza Fiumara; Giusi Pappaianni; Antonio Concolino; Emanuela Leone; Maria Concetta Faniello; Barbara Quaresima; Enrico Ricevuto; Francesco Saverio Costanzo; Giovanni Cuda
Journal:  PLoS One       Date:  2015-06-10       Impact factor: 3.240

6.  Hands-on workshops as an effective means of learning advanced technologies including genomics, proteomics and bioinformatics.

Authors:  Nichole Reisdorph; Robert Stearman; Katerina Kechris; Tzu Lip Phang; Richard Reisdorph; Jessica Prenni; David J Erle; Christopher Coldren; Kevin Schey; Alexey Nesvizhskii; Mark Geraci
Journal:  Genomics Proteomics Bioinformatics       Date:  2013-12-06       Impact factor: 7.691

Review 7.  Strategies for modern biomarker and drug development in oncology.

Authors:  Alan D Smith; Desam Roda; Timothy A Yap
Journal:  J Hematol Oncol       Date:  2014-10-03       Impact factor: 17.388

Review 8.  Mass spectrometry for the detection of potential psychiatric biomarkers.

Authors:  Armand G Ngounou Wetie; Izabela Sokolowska; Kelly Wormwood; Katherine Beglinger; Tanja Maria Michel; Johannes Thome; Costel C Darie; Alisa G Woods
Journal:  J Mol Psychiatry       Date:  2013-06-05

Review 9.  Human induced pluripotent stem cells from basic research to potential clinical applications in cancer.

Authors:  Teresa de Souza Fernandez; Cecilia de Souza Fernandez; André Luiz Mencalha
Journal:  Biomed Res Int       Date:  2013-10-28       Impact factor: 3.411

10.  Novel serum protein biomarker panel revealed by mass spectrometry and its prognostic value in breast cancer.

Authors:  Liping Chung; Katrina Moore; Leo Phillips; Frances M Boyle; Deborah J Marsh; Robert C Baxter
Journal:  Breast Cancer Res       Date:  2014-06-16       Impact factor: 6.466

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