Efferth T, Volm M. Pharmacogenetics for individualized cancer chemotherapy. Pharmacol Ther. 2005;107(2):155–76.
Article
CAS
PubMed
Google Scholar
Evans WE, Relling MV. Pharmacogenomics: translating functional genomics into rational therapeutics. Science. 1999;286(5439):487–91.
Article
CAS
PubMed
Google Scholar
Maekawa K, Saeki M, Saito Y, Ozawa S, Kurose K, Kaniwa N, et al. Genetic variations and haplotype structures of the DPYD gene encoding dihydropyrimidine dehydrogenase in Japanese and their ethnic differences. J Hum Genet. 2007;52(10):804–19.
Article
CAS
PubMed
Google Scholar
Heggie GD, Sommadossi JP, Cross DS, Huster WJ, Diasio RB. Clinical pharmacokinetics of 5-fluorouracil and its metabolites in plasma, urine, and bile. Cancer Res. 1987;47(8):2203–6.
CAS
PubMed
Google Scholar
Naguib FN, el Kouni MH, Cha S. Enzymes of uracil catabolism in normal and neoplastic human tissues. Cancer Res. 1985;45(11 Pt 1):5405–12.
CAS
PubMed
Google Scholar
Lu Z, Zhang R, Diasio RB. Dihydropyrimidine dehydrogenase activity in human peripheral blood mononuclear cells and liver: population characteristics, newly identified deficient patients, and clinical implication in 5-fluorouracil chemotherapy. Cancer Res. 1993;53(22):5433–8.
CAS
PubMed
Google Scholar
Etienne MC, Lagrange JL, Dassonville O, Fleming R, Thyss A, Renee N, et al. Population study of dihydropyrimidine dehydrogenase in cancer patients. J Clin Oncol. 1994;12(11):2248–53.
CAS
PubMed
Google Scholar
Lu Z, Zhang R, Carpenter JT, Diasio RB. Decreased dihydropyrimidine dehydrogenase activity in a population of patients with breast cancer: implication for 5-fluorouracil-based chemotherapy. Clin Cancer Res. 1998;4(2):325–9.
CAS
PubMed
Google Scholar
van Kuilenburg AB. Dihydropyrimidine dehydrogenase and the efficacy and toxicity of 5-fluorouracil. Eur J Cancer. 2004;40(7):939–50.
Article
PubMed
Google Scholar
Gross E, Ullrich T, Seck K, Mueller V, de Wit M, von Schilling C, et al. Detailed analysis of five mutations in dihydropyrimidine dehydrogenase detected in cancer patients with 5-fluorouracil-related side effects. Hum Mutat. 2003;22(6):498.
Article
PubMed
Google Scholar
Ogura K, Ohnuma T, Minamide Y, Mizuno A, Nishiyama T, Nagashima S, et al. Dihydropyrimidine dehydrogenase activity in 150 healthy Japanese volunteers and identification of novel mutations. Clin Cancer Res. 2005;11(14):5104–11.
Article
CAS
PubMed
Google Scholar
Seck K, Riemer S, Kates R, Ullrich T, Lutz V, Harbeck N, et al. Analysis of the DPYD gene implicated in 5-fluorouracil catabolism in a cohort of Caucasian individuals. Clin Cancer Res. 2005;11(16):5886–92.
Article
CAS
PubMed
Google Scholar
Zhu AX, Puchalski TA, Stanton Jr VP, Ryan DP, Clark JW, Nesbitt S, et al. Dihydropyrimidine dehydrogenase and thymidylate synthase polymorphisms and their association with 5-fluorouracil/leucovorin chemotherapy in colorectal cancer. Clin Colorectal Cancer. 2004;3(4):225–34.
Article
CAS
PubMed
Google Scholar
Takahashi H, Kaniwa N, Saito Y, Sai K, Hamaguchi T, Shirao K, et al. Identification of a candidate single-nucleotide polymorphism related to chemotherapeutic response through a combination of knowledge-based algorithm and hypothesis-free genomic data. J Biosci Bioeng. 2013;116(6):768–73.
Article
CAS
PubMed
Google Scholar
Takahashi H, Sai K, Saito Y, Kaniwa N, Matsumura Y, Hamaguchi T, et al. Application of a combination of a knowledge-based algorithm and 2-stage screening to hypothesis-free genomic data on irinotecan-treated patients for identification of a candidate single nucleotide polymorphism related to an adverse effect. PLoS One. 2014;9(8), e105160.
Article
PubMed
PubMed Central
Google Scholar
Takahashi H, Honda H. Modified signal-to-noise: a new simple and practical gene filtering approach based on the concept of projective adaptive resonance theory (PART) filtering method. Bioinformatics. 2006;22(13):1662–4.
Article
CAS
PubMed
Google Scholar
Takahashi H, Iwakawa H, Nakao S, Ojio T, Morishita R, Morikawa S, et al. Knowledge-based fuzzy adaptive resonance theory and its application to the analysis of gene expression in plants. J Biosci Bioeng. 2008;106(6):587–93.
Article
CAS
PubMed
Google Scholar
Takahashi H, Kobayashi T, Honda H. Construction of robust prognostic predictors by using projective adaptive resonance theory as a gene filtering method. Bioinformatics. 2005;21(2):179–86.
Article
CAS
PubMed
Google Scholar
Takahashi H, Masuda K, Ando T, Kobayashi T, Honda H. Prognostic predictor with multiple fuzzy neural models using expression profiles from DNA microarray for metastases of breast cancer. J Biosci Bioeng. 2004;98(3):193–9.
Article
CAS
PubMed
Google Scholar
Takahashi H, Murase Y, Kobayashi T, Honda H. New cancer diagnosis modeling using boosting and projective adaptive resonance theory with improved reliable index. Biochem Eng J. 2007;33(2):100–9.
Article
Google Scholar
Takahashi H, Nakagawa A, Kojima S, Takahashi A, Cha BY, Woo JT, et al. Discovery of novel rules for G-quadruplex-forming sequences in plants by using bioinformatics methods. J Biosci Bioeng. 2012;114(5):570–5.
Article
CAS
PubMed
Google Scholar
Takahashi H, Nakayama R, Hayashi S, Nemoto T, Murase Y, Nomura K, et al. Macrophage migration inhibitory factor and stearoyl-CoA desaturase 1: potential prognostic markers for soft tissue sarcomas based on bioinformatics analyses. PLoS One. 2013;8(10), e78250.
Article
CAS
PubMed
PubMed Central
Google Scholar
Takahashi H, Takahashi A, Naito S, Onouchi H. BAIUCAS: a novel BLAST-based algorithm for the identification of upstream open reading frames with conserved amino acid sequences and its application to the Arabidopsis thaliana genome. Bioinformatics. 2012;28(17):2231–41.
Article
CAS
PubMed
Google Scholar
Takahashi H, Tomida S, Kobayashi T, Honda H. Inference of common genetic network using fuzzy adaptive resonance theory associated matrix method. J Biosci Bioeng. 2003;96(2):154–60.
Article
CAS
PubMed
Google Scholar
Takahashi H, Honda H. A new reliable cancer diagnosis method using boosted fuzzy classifier with a SWEEP operator method. J Chem Eng Jpn. 2005;38(9):763–73.
Article
CAS
Google Scholar
Kawamura T, Takahashi H, Honda H. Proposal of new gene filtering method, BagPART, for gene expression analysis with small sample. J Biosci Bioeng. 2008;105(1):81–4.
Article
CAS
PubMed
Google Scholar
Takahashi H, Honda H. Lymphoma prognostication from expression profiling using a combination method of boosting and projective adaptive resonance theory. J Chem Eng Jpn. 2006;39(7):767–71.
Article
CAS
Google Scholar
Sano M, Aoyagi K, Takahashi H, Kawamura T, Mabuchi T, Igaki H, et al. Forkhead box A1 transcriptional pathway in KRT7-expressing esophageal squamous cell carcinomas with extensive lymph node metastasis. Int J Oncol. 2010;36(2):321–30.
CAS
PubMed
Google Scholar
Takahashi H, Iwakawa H, Ishibashi N, Kojima S, Matsumura Y, Prananingrum P, et al. Meta-analyses of microarrays of arabidopsis asymmetric leaves1 (as1), as2 and their modifying mutants reveal a critical role for the ETT pathway in stabilization of adaxial-abaxial patterning and cell division during leaf development. Plant Cell Physiol. 2013;54(3):418–31.
Article
CAS
PubMed
PubMed Central
Google Scholar
Kumasaka MY, Yajima I, Iida M, Takahashi H, Inoue Y, Fukushima S, et al. Correlated expression levels of endothelin receptor B and Plexin C1 in melanoma. Am J Cancer Res. 2015;5(3):1117–23.
CAS
PubMed
PubMed Central
Google Scholar
Takahashi H, Aoyagi K, Nakanishi Y, Sasaki H, Yoshida T, Honda H. Classification of intramural metastases and lymph node metastases of esophageal cancer from gene expression based on boosting and projective adaptive resonance theory. J Biosci Bioeng. 2006;102(1):46–52.
Article
CAS
PubMed
Google Scholar
Yajima I, Kumasaka MY, Naito Y, Yoshikawa T, Takahashi H, Funasaka Y, et al. Reduced GNG2 expression levels in mouse malignant melanomas and human melanoma cell lines. Am J Cancer Res. 2012;2(3):322–9.
CAS
PubMed
PubMed Central
Google Scholar
Takahashi A, Nakayama R, Ishibashi N, Doi A, Ichinohe R, Ikuyo Y, et al. Analysis of gene expression profiles of soft tissue sarcoma using a combination of knowledge-based filtering with integration of multiple statistics. PLoS One. 2014;9(9), e106801.
Article
PubMed
PubMed Central
Google Scholar
Takahashi H, Honda H. Prediction of peptide binding to major histocompatibility complex class II molecules through use of boosted fuzzy classifier with SWEEP operator method. J Biosci Bioeng. 2006;101(2):137–41.
Article
CAS
PubMed
Google Scholar
Iwasaki M, Takahashi H, Iwakawa H, Nakagawa A, Ishikawa T, Tanaka H, et al. Dual regulation of ETTIN (ARF3) gene expression by AS1-AS2, which maintains the DNA methylation level, is involved in stabilization of leaf adaxial-abaxial partitioning in Arabidopsis. Development. 2013;140(9):1958–69.
Article
CAS
PubMed
Google Scholar
Takahashi H, Nemoto T, Yoshida T, Honda H, Hasegawa T. Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive resonance theory (PART) filtering method. BMC Bioinformatics. 2006;7:399.
Article
PubMed
PubMed Central
Google Scholar
Okada Y, Terao C, Ikari K, Kochi Y, Ohmura K, Suzuki A, et al. Meta-analysis identifies nine new loci associated with rheumatoid arthritis in the Japanese population. Nat Genet. 2012;44(5):511–6.
Article
CAS
PubMed
Google Scholar
Wu N, Liu S, Guo C, Hou Z, Sun MZ. The role of annexin A3 playing in cancers. Clin Transl Oncol. 2013;15(2):106–10.
Article
CAS
PubMed
Google Scholar
Moss SE, Morgan RO. The annexins. Genome Biol. 2004;5(4):219.
Article
PubMed
PubMed Central
Google Scholar
Pénzváltó Z, Tegze B, Szász AM, Sztupinszki Z, Likó I, Szendrői A, et al. Identifying resistance mechanisms against five tyrosine kinase inhibitors targeting the ERBB/RAS pathway in 45 cancer cell lines. PLoS One. 2013;8(3), e59503.
Article
PubMed
PubMed Central
Google Scholar
Tong SW, Yang YX, Hu HD, An X, Ye F, Hu P, et al. Proteomic investigation of 5-fluorouracil resistance in a human hepatocellular carcinoma cell line. J Cell Biochem. 2012;113(5):1671–80.
CAS
PubMed
Google Scholar
Peraldo-Neia C, Migliardi G, Mello-Grand M, Montemurro F, Segir R, Pignochino Y, et al. Epidermal Growth Factor Receptor (EGFR) mutation analysis, gene expression profiling and EGFR protein expression in primary prostate cancer. BMC Cancer. 2011;11:31.
Article
CAS
PubMed
PubMed Central
Google Scholar
Ruan L, Wang GL, Chen Y, Yi H, Tang CE, Zhang PF, et al. Identification of tyrosine phosphoproteins in signaling pathway triggered TGF-a by using functional proteomics technology. Med Oncol. 2010;27(4):1407–14.
Article
CAS
PubMed
Google Scholar
Mochinaga K, Tsuchiya T, Nagasaki T, Arai J, Tominaga T, Yamasaki N, et al. High expression of dihydropyrimidine dehydrogenase in lung adenocarcinoma is associated with mutations in epidermal growth factor receptor: implications for the treatment of non--small-cell lung cancer using 5-fluorouracil. Clin Lung Cancer. 2014;15(2):136–44. e134.
Article
CAS
PubMed
Google Scholar
Ishikawa Y, Kubota T, Otani Y, Watanabe M, Teramoto T, Kumai K, et al. Dihydropyrimidine dehydrogenase and messenger RNA levels in gastric cancer: possible predictor for sensitivity to 5-fluorouracil. Jpn J Cancer Res. 2000;91(1):105–12.
Article
CAS
PubMed
Google Scholar
Inada T, Ogata Y, Kubota T, Tomikawa M, Yamamoto S, Andoh J, et al. 5-fluorouracil sensitivity and dihydropyrimidine dehydrogenase activity in advanced gastric cancer. Anticancer Res. 2000;20(4):2457–62.
CAS
PubMed
Google Scholar
Salonga D, Danenberg KD, Johnson M, Metzger R, Groshen S, Tsao-Wei DD, et al. Colorectal tumors responding to 5-fluorouracil have low gene expression levels of dihydropyrimidine dehydrogenase, thymidylate synthase, and thymidine phosphorylase. Clin Cancer Res. 2000;6(4):1322–7.
CAS
PubMed
Google Scholar
Mizutani Y, Wada H, Fukushima M, Yoshida O, Ukimura O, Kawauchi A, et al. The significance of dihydropyrimidine dehydrogenase (DPD) activity in bladder cancer. Eur J Cancer. 2001;37(5):569–75.
Article
CAS
PubMed
Google Scholar
Horiguchi J, Takei H, Koibuchi Y, Iijima K, Ninomiya J, Uchida K, et al. Prognostic significance of dihydropyrimidine dehydrogenase expression in breast cancer. Br J Cancer. 2002;86(2):222–5.
Article
CAS
PubMed
PubMed Central
Google Scholar
Zhou H, Jin J, Zhang H, Yi B, Wozniak M, Wong L. IntPath--an integrated pathway gene relationship database for model organisms and important pathogens. BMC Syst Biol. 2012;6 Suppl 2:S2.
Article
Google Scholar
Yoshida T, Ono H, Kuchiba A, Saeki N, Sakamoto H. Genome-wide germline analyses on cancer susceptibility and GeMDBJ database: Gastric cancer as an example. Cancer Sci. 2010;101(7):1582–9.
Article
CAS
PubMed
Google Scholar