Literature DB >> 12049305

DNA microarrays: a new diagnostic tool and its implications in colorectal cancer.

C Stremmel1, A Wein, W Hohenberger, B Reingruber.   

Abstract

Effective treatment of colorectal cancer requires early detection and diagnostic and prognostic accuracy in characterizing patients of various risk groups. The development of DNA microarray makes it possible to analyze thousands of genes in a single tissue sample in one experiment and to characterize the biological behavior of colorectal cancer cells. Different cluster algorithms have been used to analyze large datasets on gene expression data, and initial results show significant differences between colorectal cancer and normal colon tissue. Although more than 6000 genes have been analyzed between colorectal cancer and normal tissue, different expression levels have been found in only 100-500 transcripts depending on the cluster algorithm. Most transcripts belong to genes involved in cell growth regulation, differentiation of cells, ribosomal proteins or metalloproteinase. A future goal in microarray technology will be the development of clustered gene chips which characterize each tumor type specifically and focus on gene expression that specifies cell identity.

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Year:  2002        PMID: 12049305     DOI: 10.1007/s00384-001-0370-7

Source DB:  PubMed          Journal:  Int J Colorectal Dis        ISSN: 0179-1958            Impact factor:   2.571


  10 in total

1.  cDNA array analysis for prediction of hepatic metastasis of colorectal carcinoma.

Authors:  Osamu Takata; Yutaka J Kawamura; Fumio Konishi; Junichi Sasaki; Toshihiro Kai; Yasuyuki Miyakura; Hideo Nagai; Toshihiko Tsukamoto
Journal:  Surg Today       Date:  2006       Impact factor: 2.549

2.  Characterization of gene expression profiles of T cells during anti-tumor response.

Authors:  Christian Stremmel; Renate Siebenhaar; Roland Croner; Bertram Reingruber; Anthony J Slavin; Werner Hohenberger
Journal:  Int J Colorectal Dis       Date:  2005-04-06       Impact factor: 2.571

3.  Resveratrol-induced gene expression profiles in human prostate cancer cells.

Authors:  Sunita B Jones; Samuel E DePrimo; Michael L Whitfield; James D Brooks
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-03       Impact factor: 4.254

Review 4.  Shifting from clinical to biologic indicators of prognosis after resection of hepatic colorectal metastases.

Authors:  Timothy M Pawlik; Michael A Choti
Journal:  Curr Oncol Rep       Date:  2007-05       Impact factor: 5.075

5.  Analysis of differentially expressed genes in colorectal adenocarcinoma with versus without metastasis by three-dimensional oligonucleotide microarray.

Authors:  Rita M A M Moura Franco; Marcelo M Linhares; Suzana S Lustosa; Ismael D G C Silva; Naiara C N Souza; Delcio Matos
Journal:  Int J Clin Exp Pathol       Date:  2013-12-15

Review 6.  New molecular methods for classification, diagnosis and therapy prediction of hematological malignancies.

Authors:  Agnes Zvara; László Hackler; Zsolt B Nagy; Tamás Micsik; László G Puskás
Journal:  Pathol Oncol Res       Date:  2003-02-11       Impact factor: 2.874

7.  Differential Gene Expression Landscape of Co-Existing Cervical Pre-Cancer Lesions Using RNA-seq.

Authors:  Kathryn E Royse; Degui Zhi; Michael G Conner; Buffie Clodfelder-Miller; Vinodh Srinivasasainagendra; Laura Kelly Vaughan; Christine F Skibola; David K Crossman; Shawn Levy; Sadeep Shrestha
Journal:  Front Oncol       Date:  2014-11-26       Impact factor: 6.244

8.  Calcium insensitivity of FA-6, a cell line derived from a pancreatic cancer associated with humoral hypercalcemia, is mediated by the significantly reduced expression of the Calcium Sensitive Receptor transduction component p38 MAPK.

Authors:  Richard Morgan; Benjamin Fairfax; Hardev S Pandha
Journal:  Mol Cancer       Date:  2006-11-01       Impact factor: 27.401

9.  An adaptation of the LMS method to determine expression variations in profiling data.

Authors:  Paul Chuchana; Dorian Marchand; Mélanie Nugoli; Carmen Rodriguez; Nicolas Molinari; Jose A Garcia-Sanz
Journal:  Nucleic Acids Res       Date:  2007-04-25       Impact factor: 16.971

Review 10.  Genetic alteration and gene expression modulation during cancer progression.

Authors:  Cathie Garnis; Timon P H Buys; Wan L Lam
Journal:  Mol Cancer       Date:  2004-03-22       Impact factor: 27.401

  10 in total

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