Literature DB >> 17161675

Mass spectrometry: uncovering the cancer proteome for diagnostics.

Da-Elene van der Merwe1, Katerina Oikonomopoulou, John Marshall, Eleftherios P Diamandis.   

Abstract

Despite impressive scientific achievements over the past few decades, cancer is still a leading cause of death. One of the major reasons is that most cancer patients are diagnosed with advanced disease. This is clearly illustrated with ovarian cancer in which the overall 5-year survival rates are only 20-30%. Conversely, when ovarian cancer is detected early (stage 1), the 5-year survival rate increases to 95%. Biomarkers, as tools for preclinical detection of cancer, have the potential to revolutionize the field of clinical diagnostics. The emerging field of clinical proteomics has found applications across a wide spectrum of cancer research. This chapter will focus on mass spectrometry as a proteomic technology implemented in three areas of cancer: diagnostics, tissue imaging, and biomarker discovery. Despite its power, it is also important to realize the preanalytical, analytical, and postanalytical limitations currently associated with this methodology. The ultimate endpoint of clinical proteomics is individualized therapy. It is essential that research groups, the industry, and physicians collaborate to conduct large prospective, multicenter clinical trials to validate and standardize this technology, for it to have real clinical impact.

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Year:  2007        PMID: 17161675     DOI: 10.1016/S0065-230X(06)96002-3

Source DB:  PubMed          Journal:  Adv Cancer Res        ISSN: 0065-230X            Impact factor:   6.242


  17 in total

1.  Identification of serum biomarkers for ovarian cancer using MALDI-TOF-MS combined with magnetic beads.

Authors:  Shengjun Wu; Kai Xu; Guang Chen; Jun Zhang; Zhiwei Liu; Xinyou Xie
Journal:  Int J Clin Oncol       Date:  2011-06-03       Impact factor: 3.402

Review 2.  Biomarker method validation in anticancer drug development.

Authors:  J Cummings; T H Ward; A Greystoke; M Ranson; C Dive
Journal:  Br J Pharmacol       Date:  2007-09-17       Impact factor: 8.739

Review 3.  Enabling individualized therapy through nanotechnology.

Authors:  Jason H Sakamoto; Anne L van de Ven; Biana Godin; Elvin Blanco; Rita E Serda; Alessandro Grattoni; Arturas Ziemys; Ali Bouamrani; Tony Hu; Shivakumar I Ranganathan; Enrica De Rosa; Jonathan O Martinez; Christine A Smid; Rachel M Buchanan; Sei-Young Lee; Srimeenakshi Srinivasan; Matthew Landry; Anne Meyn; Ennio Tasciotti; Xuewu Liu; Paolo Decuzzi; Mauro Ferrari
Journal:  Pharmacol Res       Date:  2010-01-05       Impact factor: 7.658

Review 4.  Drug metabolite profiling and identification by high-resolution mass spectrometry.

Authors:  Mingshe Zhu; Haiying Zhang; W Griffith Humphreys
Journal:  J Biol Chem       Date:  2011-06-01       Impact factor: 5.157

Review 5.  Better cancer biomarker discovery through better study design.

Authors:  Andrew Rundle; Habibul Ahsan; Paolo Vineis
Journal:  Eur J Clin Invest       Date:  2012-09-23       Impact factor: 4.686

6.  Co-registration of multi-modality imaging allows for comprehensive analysis of tumor-induced bone disease.

Authors:  Erin H Seeley; Kevin J Wilson; Thomas E Yankeelov; Rachelle W Johnson; John C Gore; Richard M Caprioli; Lynn M Matrisian; Julie A Sterling
Journal:  Bone       Date:  2014-01-30       Impact factor: 4.398

Review 7.  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

8.  A mouse model repository for cancer biomarker discovery.

Authors:  Karen S Kelly-Spratt; A Erik Kasarda; Mark Igra; Christopher J Kemp
Journal:  J Proteome Res       Date:  2008-07-15       Impact factor: 4.466

Review 9.  Targeting of cancer stem/progenitor cells plus stem cell-based therapies: the ultimate hope for treating and curing aggressive and recurrent cancers.

Authors:  M Mimeault; S K Batra
Journal:  Panminerva Med       Date:  2008-03       Impact factor: 5.197

10.  Polarity switching mass spectrometry imaging of healthy and cancerous hen ovarian tissue sections by infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI).

Authors:  Milad Nazari; David C Muddiman
Journal:  Analyst       Date:  2016-01-21       Impact factor: 4.616

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