Literature DB >> 21332380

Challenges to developing proteomic-based breast cancer diagnostics.

Richard R Drake1, Lisa H Cazares, E Ellen Jones, Thomas W Fuller, O John Semmes, Christine Laronga.   

Abstract

Over the past decade, multiple genetic and histological approaches have accelerated development of new breast cancer diagnostics and treatment paradigms. Multiple distinct genetic subtypes of breast cancers have been defined, and this has progressively led toward more personalized medicine in regard to treatment options. There still remains a deficiency in the development of molecular diagnostic assays that can be used for breast cancer detection and pretherapy clinical decisions. In particular, the type of cancer-specific biomarker typified by a serum or tissue-derived protein. Progress in this regard has been minimal, especially in comparison to the rapid advancements in genetic and histological assays for breast cancers. In this review, some potential reasons for this large gap in developing protein biomarkers will be discussed, as well as new strategies for improving these approaches. Improvements in the study design of protein biomarker discovery strategies in relation to the genetic subtypes and histology of breast cancers is also emphasized. The current successes in use of genetic and histological assays for breast cancer diagnostics are summarized, and in that context, the current limitations of the types of breast cancer-related clinical samples available for protein biomarker assay development are discussed. Based on these limitations, research strategies emphasizing identification of glycoprotein biomarkers in blood and MALDI mass spectrometry imaging of tissues are described.

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Year:  2011        PMID: 21332380      PMCID: PMC3128487          DOI: 10.1089/omi.2010.0120

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  71 in total

1.  Analysis of serum proteomic patterns for early cancer diagnosis: drawing attention to potential problems.

Authors:  Eleftherios P Diamandis
Journal:  J Natl Cancer Inst       Date:  2004-03-03       Impact factor: 13.506

Review 2.  Applications and literature review of the BI-RADS classification.

Authors:  S Obenauer; K P Hermann; E Grabbe
Journal:  Eur Radiol       Date:  2005-01-26       Impact factor: 5.315

3.  BI-RADS lexicon for US and mammography: interobserver variability and positive predictive value.

Authors:  Elizabeth Lazarus; Martha B Mainiero; Barbara Schepps; Susan L Koelliker; Linda S Livingston
Journal:  Radiology       Date:  2006-03-28       Impact factor: 11.105

4.  Multiple reaction monitoring-based, multiplexed, absolute quantitation of 45 proteins in human plasma.

Authors:  Michael A Kuzyk; Derek Smith; Juncong Yang; Tyra J Cross; Angela M Jackson; Darryl B Hardie; N Leigh Anderson; Christoph H Borchers
Journal:  Mol Cell Proteomics       Date:  2009-05-01       Impact factor: 5.911

Review 5.  Proteome and glycosylation mapping identifies post-translational modifications associated with aggressive breast cancer.

Authors:  M V Dwek; H A Ross; A J Leathem
Journal:  Proteomics       Date:  2001-06       Impact factor: 3.984

6.  Analysis of glycans on serum proteins using antibody microarrays.

Authors:  Songming Chen; Brian B Haab
Journal:  Methods Mol Biol       Date:  2009

7.  Identification of markers of taxane sensitivity using proteomic and genomic analyses of breast tumors from patients receiving neoadjuvant paclitaxel and radiation.

Authors:  Joshua A Bauer; A Bapsi Chakravarthy; Jennifer M Rosenbluth; Deming Mi; Erin H Seeley; Nara De Matos Granja-Ingram; Maria G Olivares; Mark C Kelley; Ingrid A Mayer; Ingrid M Meszoely; Julie A Means-Powell; Kimberly N Johnson; Chiaojung Jillian Tsai; Gregory D Ayers; Melinda E Sanders; Robert J Schneider; Silvia C Formenti; Richard M Caprioli; Jennifer A Pietenpol
Journal:  Clin Cancer Res       Date:  2010-01-12       Impact factor: 12.531

8.  Glycomic characterization of prostate-specific antigen and prostatic acid phosphatase in prostate cancer and benign disease seminal plasma fluids.

Authors:  Krista Y White; Lucy Rodemich; Julius O Nyalwidhe; Mary Ann Comunale; Mary Ann Clements; Raymond S Lance; Paul F Schellhammer; Anand S Mehta; O John Semmes; Richard R Drake
Journal:  J Proteome Res       Date:  2009-02       Impact factor: 4.466

Review 9.  What is triple-negative breast cancer?

Authors:  William J Irvin; Lisa A Carey
Journal:  Eur J Cancer       Date:  2008-11-12       Impact factor: 9.162

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  5 in total

1.  Proteomic studies in breast cancer (Review).

Authors:  Xian-Ju Qin; Bruce X Ling
Journal:  Oncol Lett       Date:  2012-01-18       Impact factor: 2.967

2.  Protein and lipid MALDI profiles classify breast cancers according to the intrinsic subtype.

Authors:  Han Sung Kang; Seok Cheol Lee; Young Seung Park; Young Eun Jeon; Jeong Hwa Lee; So-Youn Jung; In Hae Park; Seok Hoon Jang; Hye Min Park; Chong Woo Yoo; Seok Hee Park; Sang Yun Han; Kwang Pyo Kim; Young Hwan Kim; Jungsil Ro; Hark Kyun Kim
Journal:  BMC Cancer       Date:  2011-10-27       Impact factor: 4.430

Review 3.  Multiomics tools for the diagnosis and treatment of rare neurological disease.

Authors:  L M Crowther; M Poms; Barbara Plecko
Journal:  J Inherit Metab Dis       Date:  2018-03-13       Impact factor: 4.982

Review 4.  Proteomic approaches in biomarker discovery: new perspectives in cancer diagnostics.

Authors:  Petra Hudler; Nina Kocevar; Radovan Komel
Journal:  ScientificWorldJournal       Date:  2014-01-14

Review 5.  Advances in the proteomic discovery of novel therapeutic targets in cancer.

Authors:  Shanchun Guo; Jin Zou; Guangdi Wang
Journal:  Drug Des Devel Ther       Date:  2013-10-24       Impact factor: 4.162

  5 in total

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