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PMID: 11522643 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Prediction of sensitivity of esophageal tumors to adjuvant chemotherapy by cDNA microarray analysis of gene-expression profiles.

Cancer research ·Vol. 61 ·No. 17 ·2001-09-01 ·Pages 6474-9

Kihara C, Tsunoda T, Tanaka T, Yamana H, Furukawa Y, Ono K, Kitahara O, Zembutsu H, Yanagawa R, Hirata K, Takagi T, Nakamura Y

Abstract

We applied cDNA microarray analyses of 9216 genes to establish a genetic method for predicting the outcome of adjuvant chemotherapy to esophageal cancers. We analyzed expression profiles of 20 esophageal cancer tissues from patients who were treated with the same adjuvant chemotherapy after removal of tumor by operation, and we attempted to find genes associated with the duration of survival after surgery. By comparing expression profiles of those cancer tissues, we identified by statistical analysis 52 genes that were likely to be correlated with prognosis and possibly with sensitivity/resistance to the anticancer drugs. We also developed a drug response score based on the differential expression of these genes, and we found a significant correlation between the drug response score and individual patients' prognoses. Our results indicated that this scoring system, based on microarray analysis of selected genes, is likely to have great potential for predicting the prognosis of individual cancer patients with the adjuvant chemotherapy.

MeSH Terms
Aged Antineoplastic Combined Chemotherapy Protocols/therapeutic use Chemotherapy, Adjuvant Cisplatin/administration & dosage Esophageal Neoplasms/drug therapy,genetics,pathology Female Fluorouracil/administration & dosage Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Male Middle Aged Oligonucleotide Array Sequence Analysis Predictive Value of Tests Prognosis Reverse Transcriptase Polymerase Chain Reaction
Chemicals
Cisplatin Fluorouracil
Authors & Affiliations
12 authors, click to expand affiliations / ORCID
Kihara C
Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo 108-8639, Japan.
Tsunoda T
Tanaka T
Yamana H
Furukawa Y
Ono K
Kitahara O
Zembutsu H
Yanagawa R
Hirata K
Takagi T
Nakamura Y
Article Info
Journal
Cancer research
Abbr.
Cancer Res
ISSN
0008-5472
Published
2001-09-01
Pages
6474-9
Language
English
Region
United States
NLM ID
2984705R
Subset
IM
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