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. Issue 1 (December 2015)
- Record Type:
- Journal Article
- 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. Issue 1 (December 2015)
- Main 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:
- 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 - Abstract:
- 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 inEGFR andANXA3 . Thep value for iEA was 1.47 × 10−8 by Fisher's exact test. Recent studies showed that the mutations inEGFR 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,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 inEGFR andANXA3 . Thep value for iEA was 1.47 × 10−8 by Fisher's exact test. Recent studies showed that the mutations inEGFR 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, whileANXA3 overexpression confers resistance to tyrosine kinase inhibitors targeting theEGFR pathway. Conclusions These results suggest that the iEA index or a combination of polymorphisms inEGFR andANXA3 may serve as predictive factors of drug response, and therefore could be useful for optimal selection of chemotherapy regimens. … (more)
- Is Part Of:
- BMC cancer. Volume 15:Issue 1(2015)
- Journal:
- BMC cancer
- Issue:
- Volume 15:Issue 1(2015)
- Issue Display:
- Volume 15, Issue 1 (2015)
- Year:
- 2015
- Volume:
- 15
- Issue:
- 1
- Issue Sort Value:
- 2015-0015-0001-0000
- Page Start:
- 1
- Page End:
- 8
- Publication Date:
- 2015-12
- Subjects:
- Single nucleotide polymorphisms -- Bioinformatics -- Gastric cancer -- Genome-wide association study -- Fluoropyrimidine]
Cancer -- Periodicals
616.994005 - Journal URLs:
- http://www.biomedcentral.com/bmccancer/ ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=16 ↗
http://link.springer.com/ ↗ - DOI:
- 10.1186/s12885-015-1721-z ↗
- Languages:
- English
- ISSNs:
- 1471-2407
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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