Dataset Information

Association between p73 RS2273953 to RS1801173 polymorphism and risk of lung cancer: a meta-analysis of 2,897 cases and 3,317 controls.

ABSTRACT:

Background

Lung cancer is one of the most common and deadly cancers in humans. P73, a member of the p53 family, is a vital gene for the carcinogenesis of lung cancer. Single nucleotide polymorphism (SNP) of P73 gene may affect the risk of lung cancer. Therefore, we performed a meta-analysis of p73 SNP and lung cancer risk using the most recent data.

Methods

A total of 1407 articles from EMBASE, Web of science, PubMed and Chinese National Knowledge Infrastructure (CNKI) databases were identified initially from the search. A meta-analysis of the association between P73 polymorphism and lung cancer risk was performed based on various genetic models and by type of lung cancer and race.

Results

Seven articles published in either English or Chinese with English abstract were eventually selected for final analysis. The total pooled population included 6214 subjects (2,897 cases and 3,317 controls). The results showed that p73 RS2273953 to RS1801173 polymorphism was associated with increased risk of lung cancer in Caucasians but not in Asians. Within Asians, those with p73 GC/GC may have an increased risk for squamous carcinoma compared to those with GC/AT+AT/AT polymorphism.

Conclusions

Our analysis suggested a lack of association between p73 RS2273953 to RS1801173 polymorphism and risk of lung cancer overall. However, patients with GC/GC polymorphism showed an increased risk for squamous carcinoma in the lung compared to those with GC/AT+AT/AT in Asians.

SUBMITTER: Li X

PROVIDER: S-EPMC10767479 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Association between p73 RS2273953 to RS1801173 polymorphism and risk of lung cancer: a meta-analysis of 2,897 cases and 3,317 controls.

Li Xu X Guo Zaiqiang Z Zhang Chengwei C Xiong Ying Y Ding Chunxia C Wei Ke K Dai Xiaohong X Dai Hui H Ma Yonghuai Y Lin Fangcai F

International journal of clinical and experimental pathology 20231215 12

<h4>Background</h4>Lung cancer is one of the most common and deadly cancers in humans. <i>P73</i>, a member of the <i>p53</i> family, is a vital gene for the carcinogenesis of lung cancer. Single nucleotide polymorphism (SNP) of <i>P73</i> gene may affect the risk of lung cancer. Therefore, we performed a meta-analysis of <i>p73</i> SNP and lung cancer risk using the most recent data.<h4>Methods</h4>A total of 1407 articles from EMBASE, Web of science, PubMed and Chinese National Knowledge Infra ...[more]

PMID: 38188352

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Project description:BackgroundThere have been several case-control studies to assess the relationship between the transforming growth factor-β1 (TGF-β1) T + 869C (rs1982073)/C-509T (rs1800469) gene polymorphism and lung cancer in recent years; however, the results remain controversial. In this study, we investigated the potential correlation between the TGF-β1 T + 869C/C-509T polymorphism and increased risk of lung cancer through meta-analysis.MethodsWe searched the Cochrane Library database, Embase, PubMed, Web of Science, China National Knowledge Infrastructure, and the Wanfang Data Information Service platform to identify relevant case-control studies in strict accordance with the inclusion and exclusion criteria. The odds ratio (OR) and its 95% confidence interval (95% CI) were used to evaluate the correlation between TGF-β1 gene polymorphism and lung tumor risk. Sensitivity analysis and Egger test were used to evaluate the stability of the results and possible publication bias.ResultsA total of 8 studies, with 3680 patients and 4018 controls, were included. The meta-analysis revealed that there was no conspicuous correlation between the TGF-β1 T + 869C (rs1982073)/C-509T (rs1800469) variant and lung cancer in the overall population. For TGF-β1 C-509T, a significant decreased risk was identified in patients with nonsmall-cell lung cancer (NSCLC) in the analysis stratified by disease (TT vs CT + CC: P = .02, OR = 0.49, 95% CI 0.27-0.90). However, for TGF-β1 T + 869C, subgroup analysis showed no correlation between the T + 869C polymorphism and lung cancer susceptibility in patients with NSCLC. In the subgroup analysis by ethnicity, no distinct association was observed between T + 869C (rs1982073)/C-509T (rs1800469) polymorphism and lung cancer susceptibility in the Asian and Caucasian groups. Moreover, no significant association was found in the analysis of groups stratified by age, sex, and smoking history.ConclusionThe TGF-β1 T + 869C (rs1982073) and C-509T (rs1800469) polymorphisms are not implicated in lung cancer susceptibility in the overall population. However, our analysis indicated that the C-509T (rs1800469) polymorphism decreases the risk of lung cancer in patients with NSCLC.

Project description:BackgroundAtaxia telangiectasia mutated (ATM) gene plays a key role in response to DNA lesions and is related to the invasion and metastasis of malignancy. Epidemiological studies have indicated associations between ATM rs1801516 polymorphism and different types of cancer, but their results are inconsistent. To further evaluate the effect of ATM rs1801516 polymorphism on cancer risk, we conducted this meta-analysis.MethodsStudies were identified according to specific inclusion criteria by searching PubMed, Web of Science, and Embase databases. Pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) under recessive, dominant, codominant, and overdominant models of inheritance were calculated to estimate the association between rs1801516 polymorphism and cancer risk.ResultsA total of 37 studies with 12,879 cases and 18,054 controls were included in our study. No significant association was found between rs1801516 polymorphism and cancer risk in overall comparisons (AA vs GG + GA: OR = 0.91, 95% CI, 0.78-1.07; AA+GA vs GG: OR = 1.00, 95% CI, 0.90-1.11; AA vs GG: OR = 0.89, 95% CI, 0.75-1.06; GA vs GG: OR = 1.01, 95% CI, 0.91-1.13; GG + AA vs GA: OR = 1.00, 95% CI, 0.88-1.10). However, after subgroup analyses by region-specified population, significant associations were found in European (AA vs GG + GA: OR = 0.79, 95% CI, 0.65-0.96, P = 0.017; AA vs GG: OR = 0.79, 95% CI, 0.65-0.96, P = 0.017), South American (AA+GA vs GG: OR = 2.15, 95% CI, 1.37-3.38, P = 0.001; GA vs GG: OR = 2.19, 95% CI, 1.38-3.47, P = 0.001; GG + AA vs GA: OR = 0.46, 95% CI, 0.29-0.72, P = 0.001), and Asian (AA vs GG + GA: OR = 7.45, 95% CI, 1.31-42.46, P = 0.024; AA vs GG: OR = 7.40, 95% CI, 1.30-42.19, P = 0.024). Subgroup analyses also revealed that compared with subjects carrying a GG genotype, those carrying a homozygote AA had a decreased risk for breast cancer (AA vs GG: OR = 0.76, 95% CI, 0.59-0.98, P = 0.035), and the homozygote AA was associated with decreased cancer risk in subjects with family history (AA vs GG: OR = 0.68, 95% CI, 0.47-0.98, P = 0.039).ConclusionsATM rs1801516 polymorphism is not associated with overall cancer risk in total population. However, for subgroup analyses, this polymorphism is especially associated with breast cancer risk; in addition, it is associated with overall cancer risk in Europeans, South Americans, Asians, and those with family history.

Dataset Information

Association between p73 RS2273953 to RS1801173 polymorphism and risk of lung cancer: a meta-analysis of 2,897 cases and 3,317 controls.

Background

Methods

Results

Conclusions

Publications

Association between p73 RS2273953 to RS1801173 polymorphism and risk of lung cancer: a meta-analysis of 2,897 cases and 3,317 controls.

Similar Datasets

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