AIM: To investigate the contribution of the fibroblast growth factor receptor 4 (FGFR4) Gly388Arg polymorphism as a genetic risk factor for gastric cancer (GC) and to investigate any associations between this polymorphism and clinicopathological parameters and survival. METHODS: Tumors and matched adjacent non-cancer tissues were collected from 304 GC patients, and 5 mL of venous blood was collected from 62 GC patients and 392 age- and sex-matched healthy controls without cancer history from the same ethnic population. DNA was extracted, and direct sequencing analyses were performed to genotype the FGFR4 Gly388Arg polymorphism in all the samples. Differences in the genotype frequencies of the FGFR4 Gly388Arg polymorphism between GC patients and healthy controls were estimated using the χ(2) test. Binary logistic regression was used for all analysis variables to estimate risk as the ORs with 95%CIs. The relationships between the FGFR4 genotype and clinicopathological parameters were tested with the χ(2) test. The Kaplan-Meier product-limit method, the log-rank test, and the Cox regression model were applied to evaluate the effect of the FGFR4 genotype on the overall survival of patients with GC. RESULTS: In the present GC cohort, 118 patients (38.8%) were homozygous for the Gly388 allele, 124 patients (40.8%) were heterozygous, and 62 patients (20.4%) were homozygous for the Arg388 allele. The frequencies of the Gly/Gly, Gly/Arg, and Arg/Arg genotypes in the healthy controls were 33.6%, 48.0%, and 18.4%, respectively. The distributions of genotypes (χ(2) = 3.589, P = 0.166) and alleles (χ(2) = 0.342, P = 0.559) of the FGFR4 Gly388Arg polymorphism were not different between the GC patients and the healthy controls. Although we observed no correlation between the FGFR4 Gly388Arg polymorphism and clinicopathological parameters or survival in the total cohort of GC patients, the presence of the Arg388 allele was associated with shorter survival time in patients with GC if the tumor was small (log rank χ(2) = 5.449, P = 0.020), well differentiated (log rank χ(2) = 12.798, P = 0.000), T1 or T2 stage (log rank χ(2) = 4.745, P = 0.029), without lymph node involvement (log rank χ(2) = 6.647, P= 0.010), and at an early clinical stage (log rank χ(2) = 4.615, P = 0.032). CONCLUSION: Our results suggest that the FGFR4 Gly388Arg polymorphism is not a risk factor for GC cancer initiation but that it is a useful prognostic marker for GC patients when the tumor is relatively small, well differentiated, or at an early clinical stage.
AIM: To investigate the contribution of the fibroblast growth factor receptor 4 (FGFR4) Gly388Arg polymorphism as a genetic risk factor for gastric cancer (GC) and to investigate any associations between this polymorphism and clinicopathological parameters and survival. METHODS:Tumors and matched adjacent non-cancer tissues were collected from 304 GC patients, and 5 mL of venous blood was collected from 62 GC patients and 392 age- and sex-matched healthy controls without cancer history from the same ethnic population. DNA was extracted, and direct sequencing analyses were performed to genotype the FGFR4Gly388Arg polymorphism in all the samples. Differences in the genotype frequencies of the FGFR4Gly388Arg polymorphism between GC patients and healthy controls were estimated using the χ(2) test. Binary logistic regression was used for all analysis variables to estimate risk as the ORs with 95%CIs. The relationships between the FGFR4 genotype and clinicopathological parameters were tested with the χ(2) test. The Kaplan-Meier product-limit method, the log-rank test, and the Cox regression model were applied to evaluate the effect of the FGFR4 genotype on the overall survival of patients with GC. RESULTS: In the present GC cohort, 118 patients (38.8%) were homozygous for the Gly388 allele, 124 patients (40.8%) were heterozygous, and 62 patients (20.4%) were homozygous for the Arg388 allele. The frequencies of the Gly/Gly, Gly/Arg, and Arg/Arg genotypes in the healthy controls were 33.6%, 48.0%, and 18.4%, respectively. The distributions of genotypes (χ(2) = 3.589, P = 0.166) and alleles (χ(2) = 0.342, P = 0.559) of the FGFR4Gly388Arg polymorphism were not different between the GC patients and the healthy controls. Although we observed no correlation between the FGFR4Gly388Arg polymorphism and clinicopathological parameters or survival in the total cohort of GC patients, the presence of the Arg388 allele was associated with shorter survival time in patients with GC if the tumor was small (log rank χ(2) = 5.449, P = 0.020), well differentiated (log rank χ(2) = 12.798, P = 0.000), T1 or T2 stage (log rank χ(2) = 4.745, P = 0.029), without lymph node involvement (log rank χ(2) = 6.647, P= 0.010), and at an early clinical stage (log rank χ(2) = 4.615, P = 0.032). CONCLUSION: Our results suggest that the FGFR4Gly388Arg polymorphism is not a risk factor for GC cancer initiation but that it is a useful prognostic marker for GC patients when the tumor is relatively small, well differentiated, or at an early clinical stage.
Authors: M Tanner; M Hollmén; T T Junttila; A I Kapanen; S Tommola; Y Soini; H Helin; J Salo; H Joensuu; E Sihvo; K Elenius; J Isola Journal: Ann Oncol Date: 2005-02 Impact factor: 32.976
Authors: Christian Mawrin; Elmar Kirches; Sabine Diete; Falk R Wiedemann; Thomas Schneider; Raimund Firsching; Siegfried Kropf; Bernhard Bogerts; Christian K Vorwerk; Sabine Krüger; Knut Dietzmann Journal: Cancer Lett Date: 2005-09-29 Impact factor: 8.679
Authors: Monica Spinola; Vera Leoni; Carmen Pignatiello; Barbara Conti; Fernando Ravagnani; Ugo Pastorino; Tommaso A Dragani Journal: J Clin Oncol Date: 2005-08-01 Impact factor: 44.544
Authors: P Jézéquel; L Campion; M-P Joalland; M Millour; F Dravet; J-M Classe; V Delecroix; R Deporte; P Fumoleau; G Ricolleau Journal: Br J Cancer Date: 2004-01-12 Impact factor: 7.640
Authors: Li Tan; Jun Wang; Junko Tanizaki; Zhifeng Huang; Amir R Aref; Maria Rusan; Su-Jie Zhu; Yiyun Zhang; Dalia Ercan; Rachel G Liao; Marzia Capelletti; Wenjun Zhou; Wooyoung Hur; NamDoo Kim; Taebo Sim; Suzanne Gaudet; David A Barbie; Jing-Ruey Joanna Yeh; Cai-Hong Yun; Peter S Hammerman; Moosa Mohammadi; Pasi A Jänne; Nathanael S Gray Journal: Proc Natl Acad Sci U S A Date: 2014-10-27 Impact factor: 11.205
Authors: Sang Hee Cho; Chang Soo Hong; Hee Nam Kim; Min Ho Shin; Ka Rham Kim; Hyun Jeong Shim; Jun Eul Hwang; Woo Kyun Bae; Ik Joo Chung Journal: Cancer Res Treat Date: 2016-11-09 Impact factor: 4.679