Literature DB >> 18664563

Proteomic contributions to personalized cancer care.

John M Koomen1, Eric B Haura, Gerold Bepler, Rebecca Sutphen, Elizabeth R Remily-Wood, Kaaron Benson, Mohamad Hussein, Lori A Hazlehurst, Timothy J Yeatman, Lynne T Hildreth, Thomas A Sellers, Paul B Jacobsen, David A Fenstermacher, William S Dalton.   

Abstract

Cancer impacts each patient and family differently. Our current understanding of the disease is primarily limited to clinical hallmarks of cancer, but many specific molecular mechanisms remain elusive. Genetic markers can be used to determine predisposition to tumor development, but molecularly targeted treatment strategies that improve patient prognosis are not widely available for most cancers. Individualized care plans, also described as personalized medicine, still must be developed by understanding and implementing basic science research into clinical treatment. Proteomics holds great promise in contributing to the prevention and cure of cancer because it provides unique tools for discovery of biomarkers and therapeutic targets. As such, proteomics can help translate basic science discoveries into the clinical practice of personalized medicine. Here we describe how biological mass spectrometry and proteome analysis interact with other major patient care and research initiatives and present vignettes illustrating efforts in discovery of diagnostic biomarkers for ovarian cancer, development of treatment strategies in lung cancer, and monitoring prognosis and relapse in multiple myeloma patients.

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Year:  2008        PMID: 18664563      PMCID: PMC2559938          DOI: 10.1074/mcp.R800002-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  86 in total

1.  Phenotypic analysis of ovarian carcinoma: polypeptide expression in benign, borderline and malignant tumors.

Authors:  A A Alaiya; B Franzén; K Fujioka; B Moberger; K Schedvins; C Silfversvärd; S Linder; G Auer
Journal:  Int J Cancer       Date:  1997-11-27       Impact factor: 7.396

Review 2.  Screening for early ovarian cancer.

Authors:  K J Taylor; P E Schwartz
Journal:  Radiology       Date:  1994-07       Impact factor: 11.105

3.  Temporal analysis of phosphotyrosine-dependent signaling networks by quantitative proteomics.

Authors:  Blagoy Blagoev; Shao-En Ong; Irina Kratchmarova; Matthias Mann
Journal:  Nat Biotechnol       Date:  2004-08-15       Impact factor: 54.908

4.  Three biomarkers identified from serum proteomic analysis for the detection of early stage ovarian cancer.

Authors:  Zhen Zhang; Robert C Bast; Yinhua Yu; Jinong Li; Lori J Sokoll; Alex J Rai; Jason M Rosenzweig; Bonnie Cameron; Young Y Wang; Xiao-Ying Meng; Andrew Berchuck; Carolien Van Haaften-Day; Neville F Hacker; Henk W A de Bruijn; Ate G J van der Zee; Ian J Jacobs; Eric T Fung; Daniel W Chan
Journal:  Cancer Res       Date:  2004-08-15       Impact factor: 12.701

Review 5.  Etiology, biology, and epidemiology of ovarian cancer.

Authors:  T R Baker; M S Piver
Journal:  Semin Surg Oncol       Date:  1994 Jul-Aug

Review 6.  Is early detection of ovarian cancer possible?

Authors:  P E Schwartz; K J Taylor
Journal:  Ann Med       Date:  1995-10       Impact factor: 4.709

7.  Elevation of multiple serum markers in patients with stage I ovarian cancer.

Authors:  R P Woolas; F J Xu; I J Jacobs; Y H Yu; L Daly; A Berchuck; J T Soper; D L Clarke-Pearson; D H Oram; R C Bast
Journal:  J Natl Cancer Inst       Date:  1993-11-03       Impact factor: 13.506

8.  A clinical staging system for multiple myeloma. Correlation of measured myeloma cell mass with presenting clinical features, response to treatment, and survival.

Authors:  B G Durie; S E Salmon
Journal:  Cancer       Date:  1975-09       Impact factor: 6.860

9.  Reactivity of a monoclonal antibody with human ovarian carcinoma.

Authors:  R C Bast; M Feeney; H Lazarus; L M Nadler; R B Colvin; R C Knapp
Journal:  J Clin Invest       Date:  1981-11       Impact factor: 14.808

Review 10.  The CA 125 tumour-associated antigen: a review of the literature.

Authors:  I Jacobs; R C Bast
Journal:  Hum Reprod       Date:  1989-01       Impact factor: 6.918

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  37 in total

1.  Prognostic and predictive value of a malignancy-risk gene signature in early-stage non-small cell lung cancer.

Authors:  Dung-Tsa Chen; Ying-Lin Hsu; William J Fulp; Domenico Coppola; Eric B Haura; Timothy J Yeatman; W Douglas Cress
Journal:  J Natl Cancer Inst       Date:  2011-12-08       Impact factor: 13.506

2.  Molecular biology: the key to personalised treatment in radiation oncology?

Authors:  D G Hirst; T Robson
Journal:  Br J Radiol       Date:  2010-09       Impact factor: 3.039

3.  Super-SILAC mix for quantitative proteomics of human tumor tissue.

Authors:  Tamar Geiger; Juergen Cox; Pawel Ostasiewicz; Jacek R Wisniewski; Matthias Mann
Journal:  Nat Methods       Date:  2010-04-04       Impact factor: 28.547

Review 4.  Urine collection and processing for protein biomarker discovery and quantification.

Authors:  C Eric Thomas; Wade Sexton; Kaaron Benson; Rebecca Sutphen; John Koomen
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-03-23       Impact factor: 4.254

5.  What does the future hold for Top Down mass spectrometry?

Authors:  Benjamin A Garcia
Journal:  J Am Soc Mass Spectrom       Date:  2009-10-29       Impact factor: 3.109

6.  Immunoglobulins: expanding the role for mass spectrometry in protein biomarker quantification.

Authors:  John M Koomen
Journal:  Clin Chem       Date:  2014-06-17       Impact factor: 8.327

7.  Differential proteomics identification of HSP90 as potential serum biomarker in hepatocellular carcinoma by two-dimensional electrophoresis and mass spectrometry.

Authors:  Yiyi Sun; Zhihe Zang; Xiaohong Xu; Zhonglin Zhang; Ling Zhong; Wang Zan; Yan Zhao; Lin Sun
Journal:  Int J Mol Sci       Date:  2010-03-31       Impact factor: 5.923

Review 8.  Applying mass spectrometry based proteomic technology to advance the understanding of multiple myeloma.

Authors:  Johann Micallef; Moyez Dharsee; Jian Chen; Suzanne Ackloo; Ken Evans; Luqui Qiu; Hong Chang
Journal:  J Hematol Oncol       Date:  2010-04-07       Impact factor: 17.388

9.  Pre-operative urinary cathepsin D is associated with survival in patients with renal cell carcinoma.

Authors:  N S Vasudev; S Sim; D A Cairns; R E Ferguson; R A Craven; A Stanley; J Cartledge; D Thompson; P J Selby; R E Banks
Journal:  Br J Cancer       Date:  2009-10-06       Impact factor: 7.640

10.  Proteomic analysis of serum in lung cancer induced by 3-methylcholanthrene.

Authors:  Minhua Li; Bo Ye; Yuxia Zhang; Honglei Chen; Dong Xia; Mingqiu Liu; Fei Yang
Journal:  J Biomed Biotechnol       Date:  2009-09-24
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