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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

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 b...

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Autores principales: Takahashi, Hiro, Kaniwa, Nahoko, Saito, Yoshiro, Sai, Kimie, Hamaguchi, Tetsuya, Shirao, Kuniaki, Shimada, Yasuhiro, Matsumura, Yasuhiro, Ohtsu, Atsushi, Yoshino, Takayuki, Doi, Toshihiko, Takahashi, Anna, Odaka, Yoko, Okuyama, Misuzu, Sawada, Jun-ichi, Sakamoto, Hiromi, Yoshida, Teruhiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4609065/
https://www.ncbi.nlm.nih.gov/pubmed/26475168
http://dx.doi.org/10.1186/s12885-015-1721-z
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author Takahashi, Hiro
Kaniwa, Nahoko
Saito, Yoshiro
Sai, Kimie
Hamaguchi, Tetsuya
Shirao, Kuniaki
Shimada, Yasuhiro
Matsumura, Yasuhiro
Ohtsu, Atsushi
Yoshino, Takayuki
Doi, Toshihiko
Takahashi, Anna
Odaka, Yoko
Okuyama, Misuzu
Sawada, Jun-ichi
Sakamoto, Hiromi
Yoshida, Teruhiko
author_facet Takahashi, Hiro
Kaniwa, Nahoko
Saito, Yoshiro
Sai, Kimie
Hamaguchi, Tetsuya
Shirao, Kuniaki
Shimada, Yasuhiro
Matsumura, Yasuhiro
Ohtsu, Atsushi
Yoshino, Takayuki
Doi, Toshihiko
Takahashi, Anna
Odaka, Yoko
Okuyama, Misuzu
Sawada, Jun-ichi
Sakamoto, Hiromi
Yoshida, Teruhiko
author_sort Takahashi, Hiro
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-015-1721-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-46090652015-10-18 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 Takahashi, Hiro Kaniwa, Nahoko Saito, Yoshiro Sai, Kimie Hamaguchi, Tetsuya Shirao, Kuniaki Shimada, Yasuhiro Matsumura, Yasuhiro Ohtsu, Atsushi Yoshino, Takayuki Doi, Toshihiko Takahashi, Anna Odaka, Yoko Okuyama, Misuzu Sawada, Jun-ichi Sakamoto, Hiromi Yoshida, Teruhiko BMC Cancer Research Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-015-1721-z) contains supplementary material, which is available to authorized users. BioMed Central 2015-10-16 /pmc/articles/PMC4609065/ /pubmed/26475168 http://dx.doi.org/10.1186/s12885-015-1721-z Text en © Takahashi et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Takahashi, Hiro
Kaniwa, Nahoko
Saito, Yoshiro
Sai, Kimie
Hamaguchi, Tetsuya
Shirao, Kuniaki
Shimada, Yasuhiro
Matsumura, Yasuhiro
Ohtsu, Atsushi
Yoshino, Takayuki
Doi, Toshihiko
Takahashi, Anna
Odaka, Yoko
Okuyama, Misuzu
Sawada, Jun-ichi
Sakamoto, Hiromi
Yoshida, Teruhiko
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
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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4609065/
https://www.ncbi.nlm.nih.gov/pubmed/26475168
http://dx.doi.org/10.1186/s12885-015-1721-z
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