Variation rs9929218 and risk of the colorectal Cancer and adenomas: A meta-analysis

Wang, Huiyan; Gu, Dongying; Yu, Miao; Hu, Yan-Jun; Chen, Zhe; Huo, Xinying; Yu, Tao; Chen, Jinfei; Yang, Zheng

doi:10.1186/s12885-021-07871-z

Cited by 2 publications

(2 citation statements)

References 40 publications

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“…Yang et al 10.3389/fonc.2023.1133055 (>0.05), and 95% CI of -7.52 to 6.75, suggesting no publication bias (Figure 4).…”

Section: Publication Bias Analysismentioning

confidence: 93%

“…Besides, the SNP of the TLR3 gene at rs5743305 are suggested to be linked to increased breast cancer risk, whereas the SNP of the TLR3 gene at rs3775291 are reportedly linked to breast cancer recurrence ( 9 ). Furthermore, the SNP of the cadherin gene at rs9929218 can cause colorectal cancer ( 10 ). Therefore, SNPs can often contribute to the occurrence and development of cancer.…”

Section: Introductionmentioning

confidence: 99%

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Association of CCL4 rs10491121 and rs1634507 gene polymorphisms with cancer susceptibility: trial sequential analysis and meta-analysis

Yang,

Song,

et al. 2023

Front. Oncol.

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BackgroundAlthough numerous case-control studies have explored the association between CC cytokine ligand-4 (CCL4) expression and cancer susceptibility, their results have been conflicting. This study aimed to determine the still-unknown connection of CCL4 rs10491121 and rs163450 polymorphisms with cancer susceptibility.MethodsSeveral databases, such as Web of Science, PubMed, and EMBASE, were searched for papers published since the creation of the database until November 2, 2022. Using RevMan 5.4 and StataMP 17 softwares, meta-analysis and subgroup analysis were performed after article screening and data extraction. For sensitivity analyses, one-by-one exclusion method was used, and then, the comprehensive effect was estimated and compared with that before exclusion. Trial sequential analysis (TSA)was performed using TSA 0.9.5.10 beta software.ResultsSeven case-control studies encompassing 3559 cases and 4231 controls were included. The P value was greater than 0.05 for all models, indicating the absence of an evident relationship of CCL4 gene rs10491121 and rs1634507 polymorphisms with cancer susceptibility. However, in the subgroup analysis of rs10491121, the P values in all models studied by us except GA vs. AA were <0.05 considering the Chinese subgroup, suggesting that the G allele is a risk factor for cancer in the Chinese population. Besides, in the subgroup analysis of rs1634507 considering oral cancer, the co-dominant model GG vs. TT, dominant model GG + GT vs. TT, and allele model G vs. T groups showed OR < 1 and P < 0.05, indicating that the G allele was a protective factor of oral cancer. However, for other cancer types, all the models studied by us except GG vs. GT showed OR > 1 and P < 0.05, indicating that the G allele was a risk factor for these other cancers. Despite the statistically significant results, sensitivity analysis had some stability limitations, and TSA results suggested the possibility of false positives.ConclusionFor rs10491121, we identified an association between the G allele and increased cancer risk in the Chinese population. For rs1634507, the G allele was not found to be associated with reduced risk of oral cancer and increased risk of other cancers studied by us.

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“…Yang et al 10.3389/fonc.2023.1133055 (>0.05), and 95% CI of -7.52 to 6.75, suggesting no publication bias (Figure 4).…”

Section: Publication Bias Analysismentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Association of CCL4 rs10491121 and rs1634507 gene polymorphisms with cancer susceptibility: trial sequential analysis and meta-analysis

Yang,

Song,

et al. 2023

Front. Oncol.

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Mitochondrial DNA Haplogroups and SNPs: Risk Factors in Multiple Cancers Based on a Cross-Tumor Analysis in Chinese Population

Chen,

Yan,

Yuan

et al. 2024

Cancer Epidemiology, Biomarkers &Amp; Prevention

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Background: Mitochondrial DNA’s haplogroups and single nucleotide polymorphisms were associated with the risk of different cancer. However, there is no evidence that the same haplogroup or mtSNP exhibits the pleiotropic effect on multiple cancers. Methods: We recruited 2489 participants, including patients with colorectal, hepatocellular, lung, ovarian, bladder, breast, pancreatic, and renal cell carcinoma. In addition, 715 healthy individuals from Northern China served as controls. Next, cross-tumor analysis was performed to determine if mtDNA variation is associated with multiple cancers. Results: Our results revealed a significant decrease in the occurrence risk of multiple cancers among individuals belonging to haplogroup A (OR = 0.553, 95% CI = 0.375-0.815, P = 0.003). Furthermore, we identified 11 mtSNPs associated with multiple cancers and divided the population into high-risk and low-risk groups. Low-risk groups showed a significantly reduced risk of occurrence compared with high-risk groups (OR =0.614, 95% CI = 0.507-0.744, P < 0.001). Furthermore, using interaction analysis, we identified a special group of individuals belonging to haplogroup A/M7 and the low-risk population, who exhibit a lower risk of multiple cancers compared to other populations (OR =0.195, 95% CI = 0.106-0.359, P < 0.001). Finally, GSEA confirmed that haplogroup A/M7 patients had lower expression levels of cancer-related pathway genes compared to haplogroup D patients. Conclusions: We found that specific mtDNA haplogroups and mtSNPs may play a role in predicting multiple cancer predisposition in Chinese populations. Impact: This may provide a potential tool for early screening in clinical settings for individuals in the Chinese population.

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Variation rs9929218 and risk of the colorectal Cancer and adenomas: A meta-analysis

Cited by 2 publications

References 40 publications

Association of CCL4 rs10491121 and rs1634507 gene polymorphisms with cancer susceptibility: trial sequential analysis and meta-analysis

Association of CCL4 rs10491121 and rs1634507 gene polymorphisms with cancer susceptibility: trial sequential analysis and meta-analysis

Mitochondrial DNA Haplogroups and SNPs: Risk Factors in Multiple Cancers Based on a Cross-Tumor Analysis in Chinese Population

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