Association between a p73 gene polymorphism and genetic susceptibility to non-small cell lung cancer in the South of China

Association between TP73 G4C14-A4T14 polymorphism and different cancer types: an updated meta-analysis of 55 case-control studies

OBJECTIVE

The TP73 G4C14-A4T14 variant has been associated with elevated cancer risk, but the evidence is inconclusive. We performed a meta-analysis to clarify the role of this variant in cancer development.

METHODS

Eligible literature was selected by searching PubMed, Google Scholar, Cochrane Library, and Embase. The meta-analysis was performed using Review Manager 5.4.

RESULTS

A meta-analysis of 55 case-control studies showed that the G4C14-A4T14 variant was significantly associated with overall cancer development in five genetic models, including the allele model (AM), codominant model 1 (COD1), COD2, dominant model (DM), and over-dominant model (OD). Sub-group analysis based on ethnicity showed significantly higher risks in Africans in COD2 and RM and in Whites in AM, COD2, DM, and recessive model (RM). Cancer-specific subgroup analysis identified significant risks of gynecological (ovarian, cervical, and endometrial cancer), colorectal, oral, head and neck, and other cancers. Moreover, hospital-based controls revealed significant cancer risks in the AM, COD1, COD2, DM, and RM genetic models. Our findings were confirmed by trial sequential analysis.

CONCLUSION

This meta-analysis confirmed that TP73 G4C14-A4T14 significantly elevates the overall cancer risk, especially in White, African, and hospital-based populations, and specifically predisposes individuals to gynecological, colorectal, oral, and head and neck cancers.This meta-analysis was registered at INPLASY (registration number: INPLASY202210070).

Case–control study on TP73 rs1801173 C > T gene polymorphism and susceptibility to gastric cancer in a Chinese Han population

Background

This study investigated the role of TP73 gene polymorphism, rs1801173on risk of gastric cancer.

Methods

We conducted a case-controlled study including 577 primary gastric cancer and 678 normal control cases. The target gene fragment was amplified using PCR using blood samples collected from patients. Allele analysis and genotyping were performed using snapshot method.

Results

The findings showed that the control group had consistent genotype frequency distribution and presented Hardy–Weinberg equilibrium. The results showed no significant differences in sex, drinking history and age distributions between subjects with the polymorphism and subjects in the control group. Smoking status was correlated with incidence of gastric cancer (P = 0.006). The rs1801173 locus of TP73 gene contained 3 genotypes including: TT, CT, and CT. Logistic regression analysis showed that distribution of recessive model and dominant model was comparable between the two groups before (P = 0.688; 0.937) or after (P = 0.703; 0.990) adjusting for confounders. The distribution frequency in case group was not significantly different relative to that of the control group (P = 0.763).

Conclusion

Smoking can independently influence the risk of gastric cancer. TP73 gene rs1801173 polymorphism was not significantly correlated with risk of gastric cancer.

Association between p73 G4C14-to-A4T14 polymorphism and lung cancer risk: A systematic review and meta-analysis

OBJECTIVE

This study was conducted to evaluate the relationship between the p73 G4C14-to-A4T14 polymorphism (hereafter, G4C14-to-A4T14) and lung cancer risk.

METHODS

The studies on the relationship between G4C14-A4T14 and lung cancer risk published as of November 5, 2018, were comprehensively searched in PubMed, Embase, the Cochrane Library, the Chinese Wanfang database, China National Knowledge Infrastructure (CNKI), and China Biology Medicine (CBM). The last update was on May 24, 2019. Statistical analysis was performed using Stata 12.0.

RESULTS

The association between G4C14-A4T14 and lung cancer risk was analyzed in nine studies. The findings indicate no association between G4C14-to-A4T14 and lung cancer risk (allele model: OR = 0.90, 95% CI: 0.73-1.11, I²  = 86.0%, P = .330; dominant model: OR = 0.93, 95% CI: 0.74-1.17, I²  = 82.6%, P = .551; recessive model: OR = 0.75, 95% CI: 0.50-1.13, I²  = 75.2%, P = .165; homozygote model: OR = 0.74, 95% CI: 0.47-1.17, I²  = 79.6%, P = .199; heterozygote model: OR = 0.98, 95% CI: 0.80-1.21, I²  = 75.8%, P = .879). The heterogeneity between subgroups by cancer types and genotyping method was significantly reduced. After the deletion of suspected duplicates, no association was found between G4C14-to-A4T14 and lung cancer susceptibility.

CONCLUSION

Our meta-analysis confirms that G4C14-to-A4T14 is not significantly related to lung cancer risk.

TP73 G4C14-A4T14 polymorphism and cancer susceptibility: evidence from 36 case-control studies

G4C14-A4T14 polymorphism of TP73 gene has been reported with a potential association in cancer risks through affected cell homeostasis; however the results were not consistent. We performed a comprehensive meta-analysis to explore the associations between G4C14-A4T14 polymorphism and cancer susceptibility. Extensive retrieve was performed in PubMed, EMBASE, Google Scholar, Web of Science, Wanfang database and CNKI database up to May 20, 2018. Odds ratios (ORs) and 95% confidence intervals (CIs) were conducted to evaluate the overall strength of the associations in five genetic models, as well as in subgroup analyses. Q-test, false-positive report probability analysis and trial sequential analysis, Egger’s test and Begg’s funnel plot were applied to evaluate the robustness of the results. In silico analysis was managed to demonstrate the relationship of TP73 expression correlated with cancer tissues. Finally, 36 case–control studies with a total of 9493 cancer cases and 13,157 healthy controls were enrolled into the meta-analysis. The pooled results present a significantly higher risk of G4C14-A4T14 polymorphism in all the five genetic models, as well as in the subgroups of Caucasian, cervical cancer, colorectal cancer, H-B subgroup and comfort to Hardy–Weinberg equilibrium subgroup. In silico analysis revealed that the expression of TP73 in cervical cancer tissue is higher than it in corresponding normal tissue, as well as in cervical cancer. All in all, TP73 G4C14-A4T14 polymorphism causes an upgrade cancer risk, especially in Caucasian population. G4C14-A4T14 polymorphism might be a potential biomarker for judging the tumorigenesis of cervical cancer and colorectal cancer.

Relationship of p73 gene polymorphism and additional gene-smoking and gene-obesity interaction with non-small cell lung cancer risk

Aim

The aim of this study was to investigate the impact of G4C14-to-A4T14 polymorphism within P73 gene and additional interactions with current smoking and obesity on non-small cell lung cancer (NSCLC) risk in a Chinese population.

Results

Logistic regression analysis showed a significant association between genotypes of the AT allele in G4C14-to-A4T14 and decreased NSCLC risk. NSCLC risk was significantly lower in carriers of the G4C14-to-A4T14- AT allele than those with GC/GC genotype (AT/AT + GC/AT versus GC/GC), adjusted OR (95%CI) = 0.68 (0.55–0.93). We also found that the OR (95%CI) was 1.88 (1.32-2.47) for current smokers compared with never smokers and 0.69 (0.40–0.95) for obese subjects compared to participants with normal BMI. Never smokers with AT/AT or GC/AT of the G4C14-to-A4T14 genotype have the lowest NSCLC risk compared with smokers with the GC/GC genotype after covariates adjustment, OR (95%CI) = 0.52 (0.26-0.87). Obese participants with G4C14-to-A4T14- AT/AT or GC/AT genotype have the lowest NSCLC risk compared with non- obese subjects with the GC/GC genotype after adjusting for covariates, OR (95% CI) = 0.56 (0.33–0.85).

Materials and Methods

A logistic regression model was used to examine the association between G4C14-to-A4T14 polymorphism and NSCLC, and its interaction with current smoking and obesity. The odds ratios (OR) and 95% confident intervals (95%CI) were calculated.

Conclusions

Our results support an important association between the G4C14-to-A4T14 and decreased NSCLC risk and additional impact of an interaction between G4C14-to-A4T14 and smoking or obesity on NSCLC risk.

Association of p73 gene G4C14-A4T14 polymorphism and MDM2 gene SNP309 with non-small cell lung cancer risk in a Chinese population

The present study aimed to investigate the association of p73 G4C14-A4T14 polymorphism and murine double minute 2 (MDM2) 309 T/G single nucleotide polymorphisms (SNPs) with the risk of developing non-small cell lung cancer (NSCLC) in Sothern China. The p73 and MDM2 genotypes of peripheral blood DNA from 186 patients with NSCLC and 196 normal controls were detected by polymerase chain reaction (PCR) with confronting two-pair primers (CTPP) and high resolution melting (HRM), respectively. The results of genotyping were consistent with those of direct sequencing. The p73 AT/AT [odds ratio (OR)=0.46; 95% confidence interval (CI)=0.22-0.97] and MDM2 TT (OR=0.48; 95% CI=0.26-0.86) genotypes were associated with a decreased risk of developing NSCLC compared with that of the p73 GC/GC and MDM2 GG genotypes, respectively. In addition, the interaction between the p73 and MDM2 polymorphisms reduced the risk of developing NSCLC in multiple ways (OR=0.13; 95% CI=0.03-0.59) for subjects carrying both the p73 AT/AT and MDM2 TT genotypes. Therefore, the SNP in p73 G4C14-A4T14 and the MDM2 309 polymorphism may be markers of genetic susceptibility to NSCLC in a Chinese population, and there is a possible gene-gene interaction involved in the incidence of NSCLC.

Association between the p73 gene G4C14-to-A4T14 single nucleotide polymorphism and risk of cervical cancer by high resolution melting and PCR with confronting two-pair primers in a Chinese population

As a member of the p53 gene family, the p73 gene can affect an individual's susceptibility to cancer through a p53-like manner. DNA sequence variation in the p73 gene has been reported to be associated with cancer risk. The present study aimed to identify whether the p73 gene G4C14-to-A4T14 single nucleotide polymorphism (SNP) is associated with risk of cervical cancer in a Chinese population. The p73 G4C14-to-A4T14 polymorphism was genotyped in 175 cervical cancer and 189 healthy control peripheral blood DNA samples using high resolution melting, polymerase chain reaction with confronting two-pair primers and direct DNA sequencing. The results demonstrated that carriers of the AT/AT genotype were associated with a significantly increased risk of cervical cancer (P=0.042; χ²=4.122; odds ratio = 2.241; 95% confidence interval = 1.013-4.956) compared with the GC/GC genotype carriers. In addition, there was a significant association between p73 genotypes and tumor size in patients with cervical cancer (P=0.014; χ²=8.607). However, no association was identified between p73 genotypes and tumor stage, histological type or lymph node metastasis in patients with cervical cancer. These results suggest that the p73 G4C14-to-A4T14 SNP may function as a marker of genetic susceptibility to cervical cancer in the Chinese population.