Literature DB >> 18823585

Tissue proteomics for cancer biomarker development: laser microdissection and 2D-DIGE.

Tadashi Kondo1.   

Abstract

Novel cancer biomarkers are required to achieve early diagnosis and optimized therapy for individual patients. Cancer is a disease of the genome, and tumor tissues are a rich source of cancer biomarkers as they contain the functional translation of the genome, namely the proteome. Investigation of the tumor tissue proteome allows the identification of proteomic signatures corresponding to clinico-pathological parameters, and individual proteins in such signatures will be good biomarker candidates. Tumor tissues are also a rich source for plasma biomarkers, because proteins released from tumor tissues may be more cancer specific than those from non-tumor cells. Two-dimensional difference gel electrophoresis (2D-DIGE) with novel ultra high sensitive fluorescent dyes (CyDye DIGE Fluor satulation dye) enables the efficient protein expression profiling of laser-microdissected tissue samples. The combined use of laser microdissection allows accurate proteomic profiling of specific cells in tumor tissues. To develop clinical applications using the identified biomarkers, collaboration between research scientists, clinicians and diagnostic companies is essential, particularly in the early phases of the biomarker development projects. The proteomics modalities currently available have the potential to lead to the development of clinical applications, and channeling the wealth of produced information towards concrete and specific clinical purposes is urgent.

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Year:  2008        PMID: 18823585     DOI: 10.5483/bmbrep.2008.41.9.626

Source DB:  PubMed          Journal:  BMB Rep        ISSN: 1976-6696            Impact factor:   4.778


  11 in total

1.  Protein analysis through Western blot of cells excised individually from human brain and muscle tissue.

Authors:  A O Koob; L Bruns; C Prassler; E Masliah; T Klopstock; A Bender
Journal:  Anal Biochem       Date:  2012-03-05       Impact factor: 3.365

Review 2.  Integrating high-throughput technologies in the quest for effective biomarkers for ovarian cancer.

Authors:  Vathany Kulasingam; Maria P Pavlou; Eleftherios P Diamandis
Journal:  Nat Rev Cancer       Date:  2010-04-12       Impact factor: 60.716

Review 3.  Discovery and validation of graft-versus-host disease biomarkers.

Authors:  Sophie Paczesny
Journal:  Blood       Date:  2012-11-19       Impact factor: 22.113

4.  Proteomic analysis of pancreatic intraepithelial neoplasia and pancreatic carcinoma in rat models.

Authors:  Lei Wang; Hai-Lin Liu; Ya Li; Ping Yuan
Journal:  World J Gastroenterol       Date:  2011-03-21       Impact factor: 5.742

5.  Mass spectrometric characterization of protein structure details refines the proteome signature for invasive ductal breast carcinoma.

Authors:  Claudia Röwer; Cornelia Koy; Michael Hecker; Toralf Reimer; Bernd Gerber; Hans-Jürgen Thiesen; Michael O Glocker
Journal:  J Am Soc Mass Spectrom       Date:  2011-02-08       Impact factor: 3.109

6.  N-linked glycoproteomic analysis of formalin-fixed and paraffin-embedded tissues.

Authors:  Yuan Tian; Kay Gurley; Danni L Meany; Christopher J Kemp; Hui Zhang
Journal:  J Proteome Res       Date:  2009-04       Impact factor: 4.466

7.  Heterogeneous nuclear ribonucleoprotein K (hnRNP K) is a tissue biomarker for detection of early hepatocellular carcinoma in patients with cirrhosis.

Authors:  Yantong Guo; Jingming Zhao; Jingtao Bi; Quan Wu; Xin Wang; Quanyou Lai
Journal:  J Hematol Oncol       Date:  2012-07-03       Impact factor: 17.388

8.  Identification and Characterization of Cell Wall Proteins of a Toxic Dinoflagellate Alexandrium catenella Using 2-D DIGE and MALDI TOF-TOF Mass Spectrometry.

Authors:  Da-Zhi Wang; Hong-Po Dong; Cheng Li; Zhang-Xian Xie; Lin Lin; Hua-Sheng Hong
Journal:  Evid Based Complement Alternat Med       Date:  2011-09-05       Impact factor: 2.629

Review 9.  Mass spectrometry-based label-free quantitative proteomics.

Authors:  Wenhong Zhu; Jeffrey W Smith; Chun-Ming Huang
Journal:  J Biomed Biotechnol       Date:  2009-11-10

10.  Identification and validation of potential new biomarkers for prostate cancer diagnosis and prognosis using 2D-DIGE and MS.

Authors:  Cordelia Geisler; Nadine T Gaisa; David Pfister; Susanne Fuessel; Glen Kristiansen; Till Braunschweig; Sonja Gostek; Birte Beine; Hanna C Diehl; Angela M Jackson; Christoph H Borchers; Axel Heidenreich; Helmut E Meyer; Ruth Knüchel; Corinna Henkel
Journal:  Biomed Res Int       Date:  2015-01-15       Impact factor: 3.246

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