The Effects of Functional Polymorphisms in the TGFβ1 Gene on Nasopharyngeal Carcinoma Susceptibility

TGF-β1 and TGF-βR1 variants are associated with clinical outcomes in smoking-related head and neck cancer patients treated with chemoradiation through modulating microRNA-mediated regulation

TGF-β1 and TGF-βR1 play important roles in immune and inflammatory responses. Genetic variants of TGF-β1 rs1800470 and TGF-βR1 rs334348 have emerged as potentially prognostic biomarkers for HPV-related head and neck cancer, while their prognostic effect on survival of smoking-related head and neck cancer remains unknown. This study included 1403 patients with smoking-related head and neck cancer, and all these patients were genotyped for TGF-β1 rs1800470 and TGF-βR1 rs334348. Both univariate and multivariate analyses were performed to evaluate associations between the two functional genetic variants in microRNA binding sites of TGF-β1 and TGF-βR1 and survivals. Patients with TGF-β1 rs1800470 CT or CC genotype had 30-35% risk reductions for OS, DSS, and DFS compared to patients with TT genotype among overall patients, ever smokers, and patients administered chemoradiation. Furthermore, patients with TGF-βR1 rs334348 GA or GG genotype had significant 50-60% risk reductions for OS, DSS, and DFS compared to patients with AA genotype among overall patients and patients administered chemoradiation; among ever smokers, the risk reductions even reached 60-70%. The TCGA dataset was used for validation. These findings suggest that TGF-β1 rs1800470 and TGF-βR1 rs334348 significantly affect survival outcomes in patients with smoking-related head and neck cancer, especially in the subgroups of ever smokers and patients treated with chemoradiation. These genetic variants may serve as prognostic indicators for patients with smoking-related head and neck cancer and could play a role in advancing the field of personalized chemoradiation, thereby improving patient survival and quality of life.

Functional Genetic Variants in TGFβ1 and TGFβR1 in miRNA-Binding Sites Predict Outcomes in Patients with HPV-positive Oropharyngeal Squamous Cell Carcinoma

PURPOSE

TGFβ1 and TGFβ receptor 1 (TGFβR1) participate in regulation of the host's immune system and inflammatory responses and may serve as prognostic biomarkers for human papillomavirus (HPV)-associated oropharyngeal squamous cell carcinoma (OPSCC).

EXPERIMENTAL DESIGN

This study included 1,013 patients with incident OPSCC, of whom 489 had tumor HPV16 status determined. All patients were genotyped for two functional polymorphisms: TGFβ1 rs1800470 and TGFβR1 rs334348. Univariate and multivariate Cox regression models were performed to evaluate associations between the polymorphisms and overall survival (OS), disease-specific survival (DSS), and disease-free survival (DFS).

RESULTS

Patients with TGFβ1 rs1800470 CT or CC genotype had 70%-80% reduced risks of OS, DSS, and DFS compared with patients with TT genotype, and patients with TGFβR1 rs334348 GA or GG genotype had 30%-40% reduced risk of OS, DSS, and DFS compared with patients with AA genotype. Furthermore, among patients with HPV-positive (HPV+) OPSCC, the same patterns were observed but the risk reductions were greater: up to 80%-90% for TGFβ1 rs1800470 CT or CC genotype and 70%-85% for TGFβR1 rs334348 GA or GG genotype. The risk reductions were still greater (up to 17 to 25 times reduced) for patients with both TGFβ1 rs1800470 CT or CC genotype and TGFβR1 rs334348 GA or GG genotype compared with patients with both TGFβ1 rs1800470 TT genotype and TGFβR1 rs334348 AA genotype among patients with HPV+ OPSCC.

CONCLUSIONS

Our findings indicate that TGFβ1 rs1800470 and TGFβR1 rs334348 may individually or jointly modify risks of death and recurrence in patients with OPSCC, particularly those with HPV+ OPSCC undergoing definitive radiotherapy, and may serve as prognostic biomarkers, which could lead to better personalized treatment and improved prognosis.

Association Between Head and Neck Cancers and Polymorphisms 869T/C, 509C/T, and 915G/C of the Transforming Growth Factor-β1 Gene: A Meta-Analysis of Case-Control Studies

Background

Worldwide, head and neck cancers are the eighth most common malignancy. Single nucleotide polymorphisms (SNPs) are associated with susceptibility to cancer and sensitivity to radiotherapy and chemotherapy. The inflammatory cytokine, transforming growth factor-β1 (TGF-β1), is involved in the progression of malignancy. This study aimed to systematically review the literature and undertake a meta-analysis of case-control studies on the association between 869T/C, 509C/T, and 915G/C polymorphisms of the TGF-β1 gene and head and neck cancers.

Material/Methods

The published literature in the English and Chinese languages were searched to identify relevant studies reporting TGF-β1 gene polymorphisms and head and neck cancer. The PubMed, Embase, Wanfang Data, and CNKI databases were searched. Data were extracted from eligible studies, and meta-analysis was performed using Stata version 12.0 software.

Results

Ten case-control studies were identified. There was a significant association between the 869T/C polymorphism of the TGF-β1 gene and susceptibility to head and neck cancer. Subgroup analysis showed that the 869T/C polymorphism was not significantly associated with the histological type of head and neck cancer, but was significantly associated with susceptibility to head and neck cancer in the Asian population. The 509C/T polymorphism of the TGF-β1 gene was not significantly associated with susceptibility to nasopharyngeal cancer (NPC), but the 915G/C polymorphism was associated with susceptibility to oral cancer.

Conclusions

Data from this meta-analysis showed that the 869T/C and 915G/C polymorphisms of the TGF-β1 gene might be associated with susceptibility to head and neck cancer.

Single nucleotide polymorphisms and sporadic colorectal cancer susceptibility: a field synopsis and meta-analysis

Background

Although mounting non-hereditary colorectal cancer (NHCRC) associated single nucleotide polymorphisms (SNPs) have been observed, no field synopsis and meta-analysis has been conducted through systematically assessing cumulative evidence, during the past 5 years.

Methods

We retrieved the database via the PubMed, Web of Science and Embase gateways to identify publications concerning the associations between SNPs and risk of NHCRC, up to May 1st, 2017. To assess the finding credibility, cumulative evidence was graded based on the Venice criteria. Meta-analysis was also performed for three subgroups including ethnicity (Asian vs Caucasian), primary cancer site (colon vs rectum) and TNM stage (I II vs III IV). Then, we arranged those high quality SNPs into different regions according to their locations on genes to evaluate their functional roles on CRC development.

Results

5114 publications were collected and 1001 of them met our inclusion criteria, which totally included 1788 SNPs in 793 genes or distinct chromosomal loci. Totally, we performed 359 primary and subgroup meta-analyses for 160 SNPs in 96 distinct genes. By utilizing the Venice criteria, we identified 15 high quality SNPs with 25 high credibility significant associations. Furthermore, we artificially divided the high quality SNPs into different groups, based on their SNP loci (exon region, intron region, promoter region, downstream region, non-coding region and intergenic region).

Conclusion

We have identified 15 high quality SNPs which may act as promising genetic biomarkers for clinical NHCRC susceptibility screening and explored their functional roles on the NHCRC development based on their locations on genes.

Association between TGF-β1 Polymorphisms and Head and Neck Cancer Risk: A Meta-Analysis

Background and Objective: Studies have been conducted to explore the association between the single nucleotide polymorphisms (SNPs) in transforming growth factor beta 1 (TGF-β1) and head and neck cancer (HNC) susceptibility, however the findings are still inconclusive. Therefore, we conduct this meta-analysis to quantitatively assess the association.

Methods: Embase and PubMed were searched for all eligible clinical studies. The odds ratio (OR) and 95% confidence interval (CI) of each study were pooled to estimate the association between SNPs in the TGF-β1 and the HNC risk. Subgroup analysis was used to explore whether particular characteristics were related to the value of overall ORs and 95% CIs.

Results: Seven case-control studies, including three SNPs (−509C/T, 869T/C, and 915G/C), were examined. Overall, this meta-analysis failed to identify a significant association between TGF-β1−509C/T, 915G/C polymorphism and HNC risk in any models. As for the 869T/C polymorphism, significant associations were observed in the allelic model (C vs. T: OR = 1.351, 95%CI: 1.030–1.772), the homozygote model (CC vs. TT: OR = 1.585, 95%CI: 1.026–2.449) and the dominant model (CT/CC vs. TT: OR = 1.398, 95%CI: 1.008–1.937). This polymorphism was also found in the Asian group as well (C vs. T: OR = 1.400, 95%CI: 1.003–1.956, CC vs. TT: OR = 1.814, 95%CI: 1.018–3.233).

Conclusion: Meta-analysis failed to show a statistical association between TGF-β1−509C/T, 915G/C polymorphism, and HNC risk in any genetic models. However, it was found that TGF-β1 869C/T polymorphism may be involved in susceptibility to HNC, especially in Asian patients. However, given the limitations of this meta-analysis, further well-designed studies are required in the future.

No association between TGF-β1 polymorphisms and risk of nasopharyngeal carcinoma in a large North African case-control study

Background

Genetic susceptibility plays a key role in the development of nasopharyngeal carcinoma (NPC) and in fact the disease presents with an unusually high incidence in certain regions of the world like North Africa. We investigated the association between polymorphism of the Transforming growth factor-β1 (TGF-β1) and risk of NPC in North Africa. TGF-β1 is a multifunctional cytokine that acts as both a tumor suppressor and a stimulator of cancer development; it has been shown to influence risk of numerous other carcinomas including lung, breast and prostate cancer.

Methods

TGF-β1 polymorphisms C-509T and T869C were studied in a large North African sample of 384 NPC cases and 361 controls, matched for age, sex and urban or rural residence in childhood. Genotypes were determined using polymerase chain reaction–restriction fragment length polymorphism.

Results

No association was observed between individual single nucleotide polymorphisms or their haplotypes and NPC susceptibility (for TGF-β1 C-509T: OR = 0.74; 95 % CI 0.46 − 1.18; for TGF-β1 T869C: OR = 0.86; 95 % CI 0.56 − 1.31), even when the samples were stratified by age, gender and TNM stage.

Conclusion

Contrary to what has been observed in Asian samples, in our North African sample, the TGF-β1 C-509T and T869C polymorphisms did not substantially influence NPC susceptibility.

Electronic supplementary material

The online version of this article (doi:10.1186/s12881-016-0337-8) contains supplementary material, which is available to authorized users.

Association of p53 codon72 Arg>Pro polymorphism with susceptibility to nasopharyngeal carcinoma: evidence from a case-control study and meta-analysis

Tumor suppressor p53 is a critical player in the fight against cancer as it controls the cell cycle check point, apoptotic pathways and genomic stability. It is known to be the most frequently mutated gene in a wide variety of human cancers. Single-nucleotide polymorphism of p53 at codon72 leading to substitution of proline (Pro) in place of arginine (Arg) has been identified as a risk factor for development of many cancers, including nasopharyngeal carcinoma (NPC). However, the association of this polymorphism with NPC across the published literature has shown conflicting results. We aimed to conduct a case–control study for a possible relation of p53 codon72 Arg>Pro polymorphism with NPC risk in underdeveloped states of India, combine the result with previously available records from different databases and perform a meta-analysis to draw a more definitive conclusion. A total of 70 NPC patients and 70 healthy controls were enrolled from different hospitals of north-eastern India. The p53 codon72 Arg>Pro polymorphism was typed by polymerase chain reaction, which showed an association with NPC risk. In the meta-analysis consisting of 1842 cases and 2330 controls, it was found that individuals carrying the Pro allele and the ProPro genotype were at a significantly higher risk for NPC as compared with those with the Arg allele and the ArgArg genotype, respectively. Individuals with a ProPro genotype and a combined Pro genotype (ProPro+ArgPro) also showed a significantly higher risk for NPC over a wild homozygote ArgArg genotype. Additionally, the strength of each study was tested by power analysis and genotype distribution by Hardy–Weinberg equilibrium. The outcome of the study indicated that both allele frequency and genotype distribution of p53 codon72 Arg>Pro polymorphism were significantly associated with NPC risk. Stratified analyses based on ethnicity and source of samples supported the above result.

Association of the p53 or GSTM1 polymorphism with the risk of nasopharyngeal carcinoma: A meta-analysis

p53 and glutathione S-transferase M1 (GSTM1) are the most popular suppressor genes. Several previous studies demonstrated positive associations of these gene polymorphisms with numerous cancer types, including hepatocellular cancer, while the association between p53/GSTM1 polymorphisms and the nasopharyngeal carcinoma (NPC) risk was inconsistent and underpowered. However, no studies investigating the combinational effect of these two genes on NPC risk were performed. To confirm the effects of p53 and GSTM1 polymorphisms on the risk of NPC, a meta-analysis of all the available previous studies associating p53 and GSTM1 with the risk of NPC was performed. A comprehensive search of PubMed, Web of Science and SD database until November 2014 was performed to identify the relevant studies. The data were extracted by two independent authors and pooled odds ratio (OR) with 95% confidence interval (CI) was calculated. Meta-regression and subgroup analyses were performed to identify the source of heterogeneity. Finally, five studies with 1,419 cases and 1,707 controls were included for the p53 polymorphism and three studies with 837 cases and 1,299 controls were included for the GSTM1 polymorphism. Regarding p53, a significantly increased NPC risk was observed in the overall population (C vs. G, OR, 1.245; 95% CI, 1.045-1.483; P=0.014; additive models: CC vs. GG, OR, 1.579; 95% CI, 1.100-2.265; P=0.013 and CG vs. GG, OR, 1.230; 95% CI, 1.039-1.456; P=0.016; dominant model, OR, 1.321; 95% CI, 1.127-1.549; P=0.001; recessive model, OR, 1.429; 95% CI, 1.017-2.009; P=0.040). Concerning GSTM1, a significantly increased NPC risk was observed in the overall population (null versus non-null, OR, 1.282; 95% CI, 1.075-1.530; P=0.006). In the subgroup analyses stratified by the source of controls, a significant association of p53 with NPC risk was also demonstrated, while no association with GSTM1 was observed. Therefore, the p53 G72C polymorphism may have a susceptible role in the carcinogenesis of NPC, while genetic deletion of GSTM1 may contribute to increased susceptibility to NPC. Further large and well-designed studies are required to confirm this association.

Transforming growth factor-beta polymorphisms and serum level in the development of osteosarcoma

The transforming growth factor-beta (TGF-β) signaling pathway plays critical roles in the development of various diseases. The current study investigated whether TGF-β was involved in the pathogenesis of osteosarcoma from the genetic polymorphism perspective and serum level perspective. We first examined two TGF-β1 polymorphisms, rs1800469C/T and rs1800470T/C, in 202 osteosarcoma patients and 216 healthy controls. Data revealed that the prevalence of rs1800470TT genotype and T allele was significantly elevated in patients than in controls (odds ratio [OR]=2.28, 95% confidence interval [CI]: 1.30-3.98, p<0.001, and OR=1.49, 95% CI: 1.14-1.96, p<0.001). Function analyses showed that healthy controls carrying rs1800470TT genotype had a significantly higher serum level of TGF-β than those carrying the rs1800470CC genotype (191.1±15.7 pg/mL vs. 129.4±10.9 pg/mL, p=0.003). We then compared the serum level of TGF-β between osteosarcoma patients and healthy controls. Results demonstrated a significantly increased serum level of TGF-β in patients than in controls. Further analyses identified that patients with metastasis had augmented levels of serum TGF-β than those without metastasis. These data indicate that TGF-β may be closely involved in the pathogenesis of osteosarcoma.

Association between the P53 codon 72 polymorphism and nasopharyngeal cancer risk

The P53 codon 72 polymorphism has been identified as a critical biomarker in modifying the risk of nasopharyngeal cancer (NPC). Many studies have investigated the association between the polymorphism of P53 codon 72 and NPC risk; however, the findings across the published studies are inconsistent and inconclusive. To acquire a more precise assessment for this association, we conducted an updated meta-analysis. The PubMed, Embase, Web of Science, and Wanfang databases were searched for relevant case-control studies. Totally, seven independent publications with 1,133 cases and 1,678 controls were retrieved. The pooled odds ratio (OR) with corresponding 95% confidence interval (95% CI) was calculated. Increased risk of NPC was observed among individuals carrying the variant allele and genotypes of P53 codon 72 (OR Pro vs. Arg = 1.32, 95% CI 1.18-1.47, P OR < 0.001; OR ProPro vs. ArgArg = 1.90, 95% CI 1.51-2.39, P OR < 0.001; OR ProArg + ProPro vs. ArgArg = 1.33, 95% CI 1.13-1.57, P OR = 0.001; OR ProPro vs. ArgArg + ProArg = 1.65, 95% CI 1.35-2.01, P OR < 0.001). Stratified analyses by ethnicity and source of controls also identified this significant relationship in Asians, Caucasians, and hospital-based case-control studies. There was no publication bias risk in our study. The updated meta-analysis supports the evidence that the polymorphism of P53 codon 72 is a risk factor for the development of NPC among the populations of both Asian and Caucasian.

Polymorphisms of CD44 gene and nasopharyngeal carcinoma susceptibility in a Chinese population

As members of adhesion molecule families, CD44 transmembrane glycoproteins have been originally thought to be essential for the formation of multicellular organisms and soon recognised to be able to initiate metastatic spread of tumour cells. To investigate the association between CD44 polymorphisms and nasopharyngeal carcinoma (NPC), we carried out a two-stage case-control study in 906 patients and 943 healthy controls in Eastern populations. Five single nucleotide polymorphisms of CD44 (rs10836347C>T, rs13347C>T, rs1425802A>G, rs11821102G>A and rs713330T>C) with proper frequency were selected from the HapMap database and genotyped with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Compared with the most common rs13347CC genotype, CT+TT genotypes significantly increased individuals' susceptibility to NPC (odds ratio = 2.58, 95% confidence interval = 2.13-3.13). Furthermore, our transient transfection focusing on reporter gene expression modulated by CD44 3'UTR demonstrated that the presence of an rs13347T allele led to greater transcriptional activity than the C allele. Similarly, more CD44 expression was shown in rs13347T carriers than C carriers in our western blotting results. All these findings suggest that CD44 rs13347C>T polymorphism may affect NPC development by improving CD44 expression.

Transforming growth factor beta-1 C-509T polymorphism and cancer risk: a meta-analysis of 55 case-control studies

AIM

To investigate the association of transforming growth factor-beta 1 (TGF-β1) C-509T polymorphism and susceptibility to cancer by means of meta-analysis.

METHODS

An extensive search was performed to identify eligible case-control studies investigating such a link. The strength of the association between TGF-β1 C-509T polymorphism and cancer risk was assessed by pooled odds ratios (ORs) and 95%confidence intervals (95%CIs) in fixed or random effects models.

RESULTS

55 published case-control studies with a total number of 21,639 cases and 28,460 controls were included. Overall, there was no association between TGF-β1 C-509T and cancer risk in all genetic comparison models (TT vs. CC: OR=1.01, 95%CI=0.89-1.15; T vs. C: OR=1.01, 95%CI=0.94-1.07). However, a stratified analysis by cancer type indicated -509 T allele was significantly associated with decreased risk of colorectal cancer (CRC) (TT vs. CT/CC: OR=0.85, 95%CI=0.76-0.95), especially for Caucasians (TT vs. CT/CC: OR=0.83, 95%CI=0.71-0.98) and for population-based studies (TT vs. CT/CC: OR=0.78, 95%CI=0.68- 0.89).

CONCLUSION

This meta-analysis suggested that TGF-β1 C-509T polymorphism might contribute to a decreased risk on colorectal cancer susceptibility, especially for Caucasians.

Association of a tgf-b1-509c/t polymorphism with gastric cancer risk: a meta-analysis

Published data on the association between the transforming growth factor B1 (TGF-B1) gene 509C/T polymorphism and gastric cancer risk are inconclusive. To derive a more precise estimation of the relationship, a meta-analysis of the TGFB1-509C/T polymorphism (with 2130 cases and 2374 controls) from seven published case-control studies was performed. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association in the codominant model, the dominant model, and the recessive model. In the overall analysis, the T allele was significantly associated with susceptibility to gastric cancer in the recessive model (TT vs. CC+CT) (TT vs. CC+CT: OR = 1.35, 95% CI: 1.10-1.66, P = 0.10 for heterogeneity) when all the included studies were pooled into the meta-analysis. In the stratified analysis by country, the T allele was also found to be significantly associated with increased gastric cancer risk in the recessive model (TT vs. CC+CT) in Chinese studies and in T versus C in the Indian study. In conclusion, this meta-analysis supports the TGFB1-509T polymorphism as a susceptibility factor for gastric cancer.