Literature DB >> 15807933

Proteomic approaches in colon cancer: promising tools for new cancer markers and drug target discovery.

Riccardo Alessandro1, Claudio Belluco, Elise C Kohn.   

Abstract

Novel technologies are needed from which to identify new and more efficient biomarkers and improved molecular targets for the expedient and accurate diagnosis and treatment of colorectal cancer. Many advances have been made in direct and virtual imaging for detection of polyps and malignant-type lesions. These require tissue verification before definitive intervention. Inclusion of a simple serum test, more accurate than CEA, especially for early cancer detection, would make virtual imaging much more successful. Proteomics, the study of the proteins and protein pathways involved in disease, is a new dimension in preclinical and clinical development. Mass spectrometric analysis of serum proteins has been shown to be a fast and simple approach yielding a large datastream of information to mine for biomarker patterns. Preliminary studies in a variety of cancers has shown this to be a promising direction. Protein arrays of tumor lysates allows assessment of expression and activation of proteins that may be specific colorectal cancer targets or targets that are shown to be universally important in cancer, such as those proteins involved in angiogenesis. Small quantities of tumor are needed for this technique and allow direct analysis of the biochemical events ongoing in the tumor and/or the stroma. This provides insight into the biology of the disease and can be used to identify targets for therapeutic intervention as well as to monitor the ability to successfully attack those targets. Together, these 2 technologies have been shown to advance the field and may be important new steps in diagnosis, prognosis, and treatment of colorectal cancer.

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Year:  2005        PMID: 15807933     DOI: 10.3816/ccc.2005.n.012

Source DB:  PubMed          Journal:  Clin Colorectal Cancer        ISSN: 1533-0028            Impact factor:   4.481


  9 in total

1.  Hydrophobic protein in colorectal cancer in relation to tumor stages and grades.

Authors:  Lay-Chin Yeoh; Chee-Keat Loh; Boon-Hui Gooi; Manjit Singh; Lay-Harn Gam
Journal:  World J Gastroenterol       Date:  2010-06-14       Impact factor: 5.742

Review 2.  Proteomic analysis in cancer research: potential application in clinical use.

Authors:  Jesús García-Foncillas; Eva Bandrés; Ruth Zárate; Natalia Remírez
Journal:  Clin Transl Oncol       Date:  2006-04       Impact factor: 3.405

Review 3.  Searching for consistently reported up- and down-regulated biomarkers in colorectal cancer: a systematic review of proteomic studies.

Authors:  Yanlei Ma; Peng Zhang; Feng Wang; Huanlong Qin
Journal:  Mol Biol Rep       Date:  2012-06-15       Impact factor: 2.316

Review 4.  Novel translational strategies in colorectal cancer research.

Authors:  Ignacio Gil-Bazo
Journal:  World J Gastroenterol       Date:  2007-11-28       Impact factor: 5.742

5.  Proteomics identification of desmin as a potential oncofetal diagnostic and prognostic biomarker in colorectal cancer.

Authors:  Yanlei Ma; Jiayuan Peng; Weijie Liu; Peng Zhang; Long Huang; Benbo Gao; Tongyi Shen; Yukun Zhou; Hongqi Chen; Zhaoxin Chu; Ming Zhang; Huanlong Qin
Journal:  Mol Cell Proteomics       Date:  2009-05-20       Impact factor: 5.911

6.  Identification of clinically relevant protein targets in prostate cancer with 2D-DIGE coupled mass spectrometry and systems biology network platform.

Authors:  Ramesh Ummanni; Frederike Mundt; Heike Pospisil; Simone Venz; Christian Scharf; Christine Barett; Maria Fälth; Jens Köllermann; Reinhard Walther; Thorsten Schlomm; Guido Sauter; Carsten Bokemeyer; Holger Sültmann; A Schuppert; Tim H Brümmendorf; Stefan Balabanov
Journal:  PLoS One       Date:  2011-02-11       Impact factor: 3.240

7.  Stage-related alterations in renal cell carcinoma--comprehensive quantitative analysis by 2D-DIGE and protein network analysis.

Authors:  Heike Junker; Simone Venz; Uwe Zimmermann; Andrea Thiele; Christian Scharf; Reinhard Walther
Journal:  PLoS One       Date:  2011-07-07       Impact factor: 3.240

8.  MALDI-TOF MS combined with magnetic beads for detecting serum protein biomarkers and establishment of boosting decision tree model for diagnosis of colorectal cancer.

Authors:  Chibo Liu; Chunqin Pan; Jianmin Shen; Haibao Wang; Liang Yong
Journal:  Int J Med Sci       Date:  2011-01-03       Impact factor: 3.738

Review 9.  The crucial role of multiomic approach in cancer research and clinically relevant outcomes.

Authors:  Miaolong Lu; Xianquan Zhan
Journal:  EPMA J       Date:  2018-02-21       Impact factor: 6.543

  9 in total

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