Literature DB >> 15251974

Cancer proteomics: Serum diagnostics for tumor marker discovery.

Alex J Rai1, Daniel W Chan.   

Abstract

Cancer proteomics is an exciting field that is witnessing many new developments in recent years. It is hoped that these advances will result in decreased cancer death rates, which have not declined dramatically in the last several decades. Some of the problems with current tumor markers include the lack of sensitivity and specificity, factors that prevent their use in population-based screening of disease. Thus, there is an urgent need to identify novel biomarkers that can faithfully detect the disease state. As we are now in the post-genome era, many opportunities have been created. Genomic sequence data are available for human, as well as several other species. We are now poised to mine these data and to determine the functions of the encoded proteins constituting the human genome. Proteomics affords this opportunity by providing enhanced procedures and tools for discovery and also a framework for understanding these components in terms of pathogenesis. New technologies and improvements in existing methodologies will allow for the rapid growth in the identification and characterization of peptides and proteins that are unique to various clinical states. This technology can be successfully applied to clinical specimens for the identification of new tumor markers.

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Year:  2004        PMID: 15251974     DOI: 10.1196/annals.1318.044

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  11 in total

1.  Pilot study of blood biomarker candidates for detection of pancreatic cancer.

Authors:  Ru Chen; David A Crispin; Sheng Pan; Sarah Hawley; Martin W McIntosh; Damon May; Hoda Anton-Culver; Argyrios Ziogas; Mary P Bronner; Teresa A Brentnall
Journal:  Pancreas       Date:  2010-10       Impact factor: 3.327

2.  Prostate cancer serum biomarker discovery through proteomic analysis of alpha-2 macroglobulin protein complexes.

Authors:  Earle F Burgess; Amy-Joan L Ham; David L Tabb; Dean Billheimer; Bruce J Roth; Sam S Chang; Michael S Cookson; Timothy J Hinton; Kristin L Cheek; Salisha Hill; Jennifer A Pietenpol
Journal:  Proteomics Clin Appl       Date:  2008-07-30       Impact factor: 3.494

3.  Serum apolipoproteins C-I and C-III are reduced in stomach cancer patients: results from MALDI-based peptidome and immuno-based clinical assays.

Authors:  Meital Cohen; Rami Yossef; Tamir Erez; Aleksandra Kugel; Michael Welt; Mark M Karpasas; Jonathan Bones; Pauline M Rudd; Julien Taieb; Herve Boissin; Dror Harats; Karin Noy; Yoram Tekoah; Rachel G Lichtenstein; Eitan Rubin; Angel Porgador
Journal:  PLoS One       Date:  2011-01-18       Impact factor: 3.240

4.  A novel "reactomics" approach for cancer diagnostics.

Authors:  Sofiya Kolusheva; Rami Yossef; Aleksandra Kugel; Nirit Hanin-Avraham; Meital Cohen; Eitan Rubin; Angel Porgador
Journal:  Sensors (Basel)       Date:  2012-05-02       Impact factor: 3.576

5.  Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data.

Authors:  Xuegong Zhang; Xin Lu; Qian Shi; Xiu-Qin Xu; Hon-Chiu E Leung; Lyndsay N Harris; James D Iglehart; Alexander Miron; Jun S Liu; Wing H Wong
Journal:  BMC Bioinformatics       Date:  2006-04-10       Impact factor: 3.169

Review 6.  Prediction of individual response to anticancer therapy: historical and future perspectives.

Authors:  Florian T Unger; Irene Witte; Kerstin A David
Journal:  Cell Mol Life Sci       Date:  2014-11-12       Impact factor: 9.261

Review 7.  Introducing biomarker panel in esophageal, gastric, and colon cancers; a proteomic approach.

Authors:  Mona Zamanian-Azodi; Mostafa Rezaei-Tavirani; Hadi Hasanzadeh; Sara Rahmati Rad; Sona Dalilan
Journal:  Gastroenterol Hepatol Bed Bench       Date:  2015

Review 8.  Application of proteomics in the study of tumor metastasis.

Authors:  Zhen Cai; Jen-Fu Chiu; Qing-Yu He
Journal:  Genomics Proteomics Bioinformatics       Date:  2004-08       Impact factor: 7.691

9.  Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data.

Authors:  Tim O F Conrad; Martin Genzel; Nada Cvetkovic; Niklas Wulkow; Alexander Leichtle; Jan Vybiral; Gitta Kutyniok; Christof Schütte
Journal:  BMC Bioinformatics       Date:  2017-03-09       Impact factor: 3.169

10.  Identification of potential serum peptide biomarkers of biliary tract cancer using MALDI MS profiling.

Authors:  Neomal S Sandanayake; Stephane Camuzeaux; John Sinclair; Oleg Blyuss; Fausto Andreola; Michael H Chapman; George J Webster; Ross C Smith; John F Timms; Stephen P Pereira
Journal:  BMC Clin Pathol       Date:  2014-02-04
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