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Transcription factor 7-like 2 polymorphism and colon cancer.

ABSTRACT: Polymorphisms of the transcription factor 7-like 2 (TCF7L2) gene have been associated with insulin sensitivity and diabetes, and the TCF7L2 gene is involved in the Wnt/beta-catenin signaling pathway, all factors thought to be important in the etiology of colon cancer. In this confirmatory study, we evaluated the rs7903146 TCF7L2 polymorphism with colon cancer using previously collected data on 1,578 cases and 1,966 controls. We did not observe a statistically significant association between the rs7903146 polymorphisms and risk of colon cancer [odds ratio (OR), 1.12; 95% confidence interval (95% CI), 0.98-1.28] when evaluating the total population. We did, however, observe a statistically significant interaction between the rs7903146 TCF7L2 polymorphism and recent use of aspirin/nonsteroidal anti-inflammatory drugs (NSAID; P = 0.001). Increased colon cancer risk associated with the T allele was restricted to those without recent use of aspirin/NSAIDs (OR, 1.65; 95% CI, 1.35-2.02, relative to recent aspirin users, i.e., use of aspirin/NSAIDS within the 2 years before diagnosis, with the CC genotype). Among individuals who reported recent use of aspirin/NSAIDs, the T allele reduced risk of colon cancer (OR, 0.78; 95% CI, 0.62-0.98) in a dose-response fashion (P for linear trend across genotypes = 0.03). These data suggest that colon cancer risk associated with the rs7903146 TCF7L2 polymorphism is modified by use of aspirin/NSAIDs.

SUBMITTER: Slattery ML

PROVIDER: S-EPMC2587179 | biostudies-literature | 2008 Apr

REPOSITORIES: biostudies-literature

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Transcription factor 7-like 2 polymorphism and colon cancer.

Slattery Martha L ML Folsom Aaron R AR Wolff Roger R Herrick Jenifer J Caan Bette J BJ Potter John D JD

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 20080401 4

Polymorphisms of the transcription factor 7-like 2 (TCF7L2) gene have been associated with insulin sensitivity and diabetes, and the TCF7L2 gene is involved in the Wnt/beta-catenin signaling pathway, all factors thought to be important in the etiology of colon cancer. In this confirmatory study, we evaluated the rs7903146 TCF7L2 polymorphism with colon cancer using previously collected data on 1,578 cases and 1,966 controls. We did not observe a statistically significant association between the ...[more]

PMID: 18398040

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Project description:BackgroundColon cancer is one of the leading causes of cancer deaths in the USA and around the world. Molecular level characters, such as gene expression levels and mutations, may provide profound information for precision treatment apart from pathological indicators. Transcription factors function as critical regulators in all aspects of cell life, but transcription factors-based biomarkers for colon cancer prognosis were still rare and necessary.MethodsWe implemented an innovative process to select the transcription factors variables and evaluate the prognostic prediction power by combining the Cox PH model with the random forest algorithm. We picked five top-ranked transcription factors and built a prediction model by using Cox PH regression. Using Kaplan-Meier analysis, we validated our predictive model on four independent publicly available datasets (GSE39582, GSE17536, GSE37892, and GSE17537) from the GEO database, consisting of 925 colon cancer patients.ResultsA five-transcription-factors based predictive model for colon cancer prognosis has been developed by using TCGA colon cancer patient data. Five transcription factors identified for the predictive model is HOXC9, ZNF556, HEYL, HOXC4 and HOXC6. The prediction power of the model is validated with four GEO datasets consisting of 1584 patient samples. Kaplan-Meier curve and log-rank tests were conducted on both training and validation datasets, the difference of overall survival time between predicted low and high-risk groups can be clearly observed. Gene set enrichment analysis was performed to further investigate the difference between low and high-risk groups in the gene pathway level. The biological meaning was interpreted. Overall, our results prove our prediction model has a strong prediction power on colon cancer prognosis.ConclusionsTranscription factors can be used to construct colon cancer prognostic signatures with strong prediction power. The variable selection process used in this study has the potential to be implemented in the prognostic signature discovery of other cancer types. Our five TF-based predictive model would help with understanding the hidden relationship between colon cancer patient survival and transcription factor activities. It will also provide more insights into the precision treatment of colon cancer patients from a genomic information perspective.

Project description:The transcription factor 4 (TCF4) gene encodes a helix-loop-helix transcription factor protein, which initiates neuronal differentiation and is primarily expressed during nervous system development. The aim of the present study is to investigate the association of the TCF4 rs9960767 polymorphism and bipolar disorder, which is highly heritable. DNA isolation was performed on 95 patients with bipolar disorder and 108 healthy control subjects to examine the TCF4 rs9960767 polymorphism. Genotypic and allelic frequencies were determined using the polymerase chain reaction-restriction fragment length polymorphism method designed in our laboratory. Statistical analysis was performed using ?2 test within the 95% confidence interval. Odds ratios were calculated and Hardy-Weinberg equilibrium (HWE) was verified for all control subjects and patients. The A allele frequency was 95.8% in the patients and 94.4% in the control subjects, and 4.2% in the patients and 5.6% in the control subjects for the C allele. The genotype frequencies of the TCF4 gene rs9960767 variant were as follows: AA, 91.6% and AC, 8.4% in patients with bipolar (CC genotype was not observed in cases); AA, 89.8%; AC, 9.3% and CC, 0.9% in the control subjects. No statistically significant difference was identified between the patients and control subjects (?2=0.937; P=0.626). In addition, gender specific analysis was performed, although no significant association was found according to the gender distrubition. All patients and control subjects were in HWE (P>0.05). Statistical analysis of the data indicates that the TCF4 gene rs9960767 polymorphism is not an independent risk factor for bipolar disorder in the overall population or in terms of gender; however, an increased population size would improve the statistical power. Furthermore, additional gene variants that are specifically involved in neuronal development may be analyzed for revealing the complex genetic architecture of bipolar disorder. An improved approach would be better to evaluate the TCF4 gene in a pathway specific manner due to its role as a transcription factor.

Project description:BackgroundUp to now, limited researches focused on the association between transcription factor 7-like 2 gene (TF7L2) gene single nucleotide polymorphisms (SNPs) and breast cancer (BC) risk. The aim of this study was to evaluate the associations between TF7L2 and BC risk in Chinese Han population.MethodsLogistic regression model was used to test the correlation between polymorphisms and BC risk. Strength of association was evaluated by odds ratio (OR) and 95% confidence interval (CI). Generalized multifactor dimensionality reduction (GMDR) was applied to analyze the SNP-SNP and gene-environment interaction.ResultsLogistic regression analysis indicated that the BC risk was obviously higher in carriers of rs1225404 polymorphism C allele than that in TT genotype carriers (TC or CC versus TT), adjusted OR (95%CI) =1.40 (1.09-1.72). Additionally, we also discovered that people with rs7903146- T allele had an obviously higher risk of BC than people with CC allele (CT or TT versus CC), adjusted OR (95%CI) =1.44 (1.09-1.82). GMDR model was used to research the effect of interaction among 4 SNPs and environmental factors on BC risk. We discovered an important two-locus model (p = 0.0100) including rs1225404 and abdominal obesity, suggesting a potential gene-environment correlation between rs1225404 and abdominal obesity. In general, the cross-validation consistency of two-locus model was 10 of 10, and the testing accuracy was 0.632. Compared with subjects with normal waist circumference (WC) value and rs1225404 TT genotype, abdominal obese subjects with rs1225404 TC or CC genotype had the highest BC risk. After covariate adjustment, OR (95%CI) was 2.23 (1.62-2.89). Haplotype analysis indicated that haplotype containing rs1225404-T and rs7903146-C alleles were associated with higher BC risk.ConclusionsC allele of rs1225404 and T allele of rs7903146, interaction between rs1225404 and abdominal obesity, rs1225404-T and rs7903146-C haplotype were all related to increased BC risk.

Project description:Various loci and genes that confer susceptibility to coronary artery disease (CAD) have been identified mainly in Caucasian populations by genome-wide association studies (GWASs). As hypertension is a major risk factor for CAD, certain polymorphisms may contribute to the genetic susceptibility to CAD through affecting the predisposition to hypertension. The aim of the present study was to examine a possible association of hypertension with 29 single-nucleotide polymorphisms (SNPs) previously identified by meta-analyses of GWASs as susceptibility loci for CAD. Study subjects comprised of 5,460 individuals (3,348 subjects with hypertension and 2,112 controls). The genotypes of SNPs were determined by the multiplex bead-based Luminex assay. The ?2 test revealed that genotype distributions and allele frequencies for rs12190287 of the transcription factor 21 gene (TCF21) and rs1122608 of the SWI/SNF-related, matrix-associated, actin-dependent regulator of chromatin, subfamily a, member 4 gene (SMARCA4) were significantly (P<0.05) associated with hypertension. Allele frequencies for rs9369640 of the phosphatase and actin regulator 1 gene (PHACTR1) and genotype distributions for rs599839 of the proline/serine-rich coiled-coil 1 gene (PSRC1) were also significantly associated with hypertension. Multivariable logistic regression analysis with adjustment for age, gender, body mass index and smoking status revealed that rs12190287 of TCF21 (P=0.0014; recessive model; odds ratio, 1.21) was significantly associated with hypertension, and the C allele represented a risk factor for this condition. Similar analyses revealed that rs1122608 of SMARCA4 (P=0.0305; dominant model; odds ratio, 0.86), rs9369640 of PHACTR1 (P=0.0119; dominant model; odds ratio, 0.82) and rs599839 of PSRC1 (P=0.0248; dominant model; odds ratio, 0.84) were also related to hypertension, with the minor T, C and G alleles, respectively, being protective against this condition. Thus, the present results indicate that rs12190287 (G?C) of TCF21 is a susceptibility locus for hypertension.

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Transcription factor 7-like 2 polymorphism and colon cancer.

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Transcription factor 7-like 2 polymorphism and colon cancer.

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