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Published in: BMC Cancer 1/2015

Open Access 01-12-2015 | Research article

Construction of possible integrated predictive index based on EGFR and ANXA3 polymorphisms for chemotherapy response in fluoropyrimidine-treated Japanese gastric cancer patients using a bioinformatic method

Authors: Hiro Takahashi, Nahoko Kaniwa, Yoshiro Saito, Kimie Sai, Tetsuya Hamaguchi, Kuniaki Shirao, Yasuhiro Shimada, Yasuhiro Matsumura, Atsushi Ohtsu, Takayuki Yoshino, Toshihiko Doi, Anna Takahashi, Yoko Odaka, Misuzu Okuyama, Jun-ichi Sawada, Hiromi Sakamoto, Teruhiko Yoshida

Published in: BMC Cancer | Issue 1/2015

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Abstract

Background

Variability in drug response between individual patients is a serious concern in medicine. To identify single-nucleotide polymorphisms (SNPs) related to drug response variability, many genome-wide association studies have been conducted.

Methods

We previously applied a knowledge-based bioinformatic approach to a pharmacogenomics study in which 119 fluoropyrimidine-treated gastric cancer patients were genotyped at 109,365 SNPs using the Illumina Human-1 BeadChip. We identified the SNP rs2293347 in the human epidermal growth factor receptor (EGFR) gene as a novel genetic factor related to chemotherapeutic response. In the present study, we reanalyzed these hypothesis-free genomic data using extended knowledge.

Results

We identified rs2867461 in annexin A3 (ANXA3) gene as another candidate. Using logistic regression, we confirmed that the performance of the rs2867461 + rs2293347 model was superior to those of the single factor models. Furthermore, we propose a novel integrated predictive index (iEA) based on these two polymorphisms in EGFR and ANXA3. The p value for iEA was 1.47 × 10−8 by Fisher’s exact test. Recent studies showed that the mutations in EGFR is associated with high expression of dihydropyrimidine dehydrogenase, which is an inactivating and rate-limiting enzyme for fluoropyrimidine, and suggested that the combination of chemotherapy with fluoropyrimidine and EGFR-targeting agents is effective against EGFR-overexpressing gastric tumors, while ANXA3 overexpression confers resistance to tyrosine kinase inhibitors targeting the EGFR pathway.

Conclusions

These results suggest that the iEA index or a combination of polymorphisms in EGFR and ANXA3 may serve as predictive factors of drug response, and therefore could be useful for optimal selection of chemotherapy regimens.
Appendix
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Metadata
Title
Construction of possible integrated predictive index based on EGFR and ANXA3 polymorphisms for chemotherapy response in fluoropyrimidine-treated Japanese gastric cancer patients using a bioinformatic method
Authors
Hiro Takahashi
Nahoko Kaniwa
Yoshiro Saito
Kimie Sai
Tetsuya Hamaguchi
Kuniaki Shirao
Yasuhiro Shimada
Yasuhiro Matsumura
Atsushi Ohtsu
Takayuki Yoshino
Toshihiko Doi
Anna Takahashi
Yoko Odaka
Misuzu Okuyama
Jun-ichi Sawada
Hiromi Sakamoto
Teruhiko Yoshida
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2015
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-015-1721-z

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