Literature DB >> 15756032

Gene expression profiling of the irinotecan pathway in colorectal cancer.

Jinsheng Yu1, William D Shannon, Mark A Watson, Howard L McLeod.   

Abstract

The exact mechanism responsible for large variation of response to chemotherapy remains unclear. This study profiled the gene expression for the entire irinotecan pathway to provide insights into individualized cancer therapy. The RNA expressions of 24 irinotecan pathway genes were measured in paired tumor and normal tissues from 52 patients with Dukes' C colorectal cancer using a real-time quantitative reverse transcription-PCR assay. The relative expression levels across the 24 pathway genes varied considerably, with a 441-fold range from highest to lowest expression levels for the tumor tissues and a 934-fold range for the normal tissues. Interpatient variability was also quite large, with a 33.6 median fold change in the tumor tissue genes and a 30.1 median fold change in the normal tissue genes. Six of the 24 irinotecan pathway genes had dramatically lower expression levels in the tumor samples than did the genes in the normal tissues (median range, 1.28-4.39 folds; P = 0.001-0.029). Eight genes had significantly higher levels (median range, 1.35-2.42 folds; P = 0.001-0.011). Using hierarchical clustering, three gene clusters and three patient groups were observed with high similarity indices by the RNA expressions in colorectal tumors. The three patient groups had no unique clinical pathologic features but could be differentiated by the statistically significant differences in RNA expression level of seven genes. Our study indicates that gene expression profiling could be valuable for predicting tumor response to chemotherapy and for tailoring therapy to individual cancer patients.

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Year:  2005        PMID: 15756032     DOI: 10.1158/1078-0432.CCR-04-1254

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  17 in total

1.  A pilot clinical study of treatment guided by personalized tumorgrafts in patients with advanced cancer.

Authors:  Manuel Hidalgo; Elizabeth Bruckheimer; N V Rajeshkumar; Ignacio Garrido-Laguna; Elizabeth De Oliveira; Belen Rubio-Viqueira; Steven Strawn; Michael J Wick; James Martell; David Sidransky
Journal:  Mol Cancer Ther       Date:  2011-06-14       Impact factor: 6.261

2.  Overexpression screens identify conserved dosage chromosome instability genes in yeast and human cancer.

Authors:  Supipi Duffy; Hok Khim Fam; Yi Kan Wang; Erin B Styles; Jung-Hyun Kim; J Sidney Ang; Tejomayee Singh; Vladimir Larionov; Sohrab P Shah; Brenda Andrews; Cornelius F Boerkoel; Philip Hieter
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-22       Impact factor: 11.205

3.  RNA expression of the molecular signature genes for metastasis in colorectal cancer.

Authors:  Luciano Carvalho; Jinsheng Yu; Gilberto Schwartsmann; Howard L McLeod; James W Fleshman
Journal:  Oncol Rep       Date:  2011-03-04       Impact factor: 3.906

4.  Development of Pyrosequencing Method for Detection of UGT1A1 Polymorphisms in Thai Colorectal Cancers.

Authors:  Chonlaphat Sukasem; Chalirmporn Atasilp; Pichai Chansriwong; Montri Chamnanphon; Apichaya Puangpetch; Ekapob Sirachainan
Journal:  J Clin Lab Anal       Date:  2014-12-26       Impact factor: 2.352

5.  DNA methylotype analysis in colorectal cancer.

Authors:  Jinsheng Yu; Robert R Freimuth; Robert Culverhouse; Sharon Marsh; Mark A Watson; Howard L McLeod
Journal:  Oncol Rep       Date:  2008-10       Impact factor: 3.906

6.  Copy-number analysis of topoisomerase and thymidylate synthase genes in frozen and FFPE DNAs of colorectal cancers.

Authors:  Jinsheng Yu; Ryan Miller; Wanghai Zhang; Mala Sharma; Vicky Holtschlag; Mark A Watson; Howard L McLeod
Journal:  Pharmacogenomics       Date:  2008-10       Impact factor: 2.533

7.  Differentiation-related gene-1 decreases Bim stability by proteasome-mediated degradation.

Authors:  Grazia Ambrosini; Sharon L Seelman; Gary K Schwartz
Journal:  Cancer Res       Date:  2009-07-21       Impact factor: 12.701

8.  Using patient DNA to optimize therapy in heart failure patients: a move toward perfection.

Authors:  Howard L McLeod
Journal:  Heart Fail Rev       Date:  2010-05       Impact factor: 4.214

Review 9.  Irinotecan therapy and molecular targets in colorectal cancer: a systemic review.

Authors:  Jessica Weekes; Alfred King-Yin Lam; Sabe Sebesan; Yik-Hong Ho
Journal:  World J Gastroenterol       Date:  2009-08-07       Impact factor: 5.742

10.  Regulation of UGT1A1 and HNF1 transcription factor gene expression by DNA methylation in colon cancer cells.

Authors:  Anne-Sophie Bélanger; Jelena Tojcic; Mario Harvey; Chantal Guillemette
Journal:  BMC Mol Biol       Date:  2010-01-22       Impact factor: 2.946

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