Correlation of TNF-α polymorphisms with susceptibility to lung cancer: evidence from a meta-analysis based on 29 studies.

OBJECTIVE: This meta-analysis aims to clarify the association between the TNF-α -308G > A and - 238G > A polymorphisms and lung cancer risk. METHOD: A comprehensive search was conducted for relevant articles across databases such as PubMed, Google Scholar, Web of Science, EMBASE, and CNKI, up to September 25, 2023. Lung cancer risk was assessed by calculating odds ratios (ORs) and their 95% confidence intervals (CIs). The Z-test was used to determine the significance of combined ORs, with P < 0.05 considered statistically significant. All analyses were performed using Comprehensive Meta-Analysis (CMA) 2.0 software. RESULTS: The analysis included 19 case-control studies with 3,838 cases and 5,306 controls for the TNF-α -308G > A polymorphism, along with 10 studies comprising 2,427 cases and 2,357 controls for the - 238G > A polymorphism. The - 308G > A polymorphism showed no significant overall relationships, though in the Asian subgroup, the A allele was significantly reduced compared to G (OR: 0.831, p = 0.028) and the AA genotype showed significant reductions versus GG (OR: 0.571, p = 0.021), with no significant correlation in Caucasians. In non-small cell lung cancer (NSCLC), the A allele was associated with increased risk compared to G (OR: 1.131, p = 0.049). For the - 238G > A polymorphism, the AA genotype significantly increased risk compared to GG (OR: 3.171, p = 0.014), while showing a protective effect in Caucasians (OR: 0.120, p = 0.024) and a heightened risk in Asians (OR: 7.990, p = 0.007). In small cell lung cancer (SCLC), the A allele conferred protective effects, whereas NSCLC showed increased risk for the AA genotype (OR: 11.375, p = 0.002). CONCLUSION: The - 308G > A polymorphism has no significant overall relationships but suggests a protective role of the A allele in the Asian subgroup. Conversely, the - 238G > A polymorphism presents a complex risk profile, increasing lung cancer likelihood in Asians while protecting Caucasians. Notably, the AA genotype significantly raises risk for NSCLC, indicating its potential as a risk factor.

Ethical Considerations and Equipoise in Cancer Surgery.

The changing landscape of cancer surgery requires ongoing consideration of ethical issues to ensure patient-centered care and fair access to treatments. With technological advancements and the global expansion of surgical interventions, healthcare professionals must navigate complex ethical dilemmas related to patient autonomy, informed consent, and the impact of new technologies on the physician-patient relationship. Additionally, ethical principles and decision-making in oncology, especially in the context of genetic predisposition to breast cancer, highlight the importance of integrating patient knowledge, preferences, and alignment between goals and treatments. As global surgery continues to grow, addressing ethical considerations becomes crucial to reduce disparities in access to surgical interventions and uphold ethical duties in patient care. Furthermore, the rise of digital applications in healthcare, such as digital surgery, requires heightened awareness of the unique ethical issues in this domain. The ethical implications of using artificial intelligence (AI) in robotic surgical training have drawn attention to the challenges of protecting patient and surgeon data, as well as the ethical boundaries that innovation may encounter. These discussions collectively emphasize the complex ethical issues associated with surgical innovation and underscore the importance of upholding ethical standards in the pursuit of progress in the field. In this study, we thoroughly analyzed previous scholarly works on ethical considerations and equipoise in the field of oncological surgery. Our main focus was on the use of AI in this specific context.

Association of the CXCL12 rs1801157 Polymorphism with Breast Cancer Risk: A Meta-Analysis.

Studies on the CXCL12 rs1801157 polymorphism show that this polymorphism is involved in development of breast cancer, but its specific relationships or effects are not consistent. The purpose of this meta-analysis was to investigate the association between CXCL12 rs1801157 polymorphism and susceptibility to breast cancer. PubMed, Scopus, Embase, the Cochrane Library, Web of Science, and CNKI were searched for eligible studies through February 01, 2023. A total of ten studies with 2093 cases and 2302 controls were included in this meta-analysis. Overall, there is a significant association between CXCL12 rs1801157 polymorphism and risk of breast cancer under the homozygote genetic model (AA vs. GG, OR= 1.350, 95% CI: 1.050-1.734, p= 0.019). Stratified by ethnicity showed a significant association in Caucasian women, but not among Asian and mixed populations. This meta-analysis confirms that CXCL12 rs1801157 polymorphism is related to breast cancer risk, especially among Caucasian women. However, well-designed large-scale studies are required to further evaluate the results.

Correlation between rs1800871, rs1800872 and rs1800896 Polymorphisms at IL-10 Gene and Lung Cancer Risk.

BACKGROUND: The tumorigenesis of lung cancer is complicated, and genetic factor may have the role in the malignant transformation of lung cells. IL-10 gene polymorphisms have been evaluated for their potential roles in lung cancer. However, those studies results are controversial. To clarify the effects of IL-10 rs1800871, rs1800872 and rs1800896 polymorphisms on the risk of lung cancer, a meta-analysis was performed with eligible individual studies. METHODS: Eligible publications were gathered by retrieving PubMed, Web of Science, Embase, Wan Fang, and CNKI up to September 01, 2023. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of such association. RESULTS: A total of 23 studies, including 5950 patients with lung cancer and 8046 healthy controls, were identified in this meta-analysis.  Overall, there was no a significant association between the rs1800871, rs1800872 and rs1800896 polymorphisms at IL-10 gene and susceptibility to lung cancer globally when all studies in the pooled into this meta-analysis. Stratified analysis by ethnicity showed that rs1800872 polymorphism was associated with lung cancer among Asians and Caucasians. However, no significant association was identified between the rs1800871 and rs1800896 and risk of lung cancer. CONCLUSIONS: Pooled data showed that  IL-10 rs1800871, rs1800872 and rs1800896 polymorphisms were not associated with lung cancer globally. Future well-designed large case-control studies with different ethnicities are recommended.

Evaluation the Presence of SERPINA5 (Exon 3) and FTO rs9939609 Polymorphisms in Papillary Thyroid Cancer Patients.

BACKGROUND: A few researches evaluated the association of polymorphisms at SERPINA5 and fat mass and obesity-associated protein (FTO) genes with papillary thyroid cancer (PTC) globally. Here, we examined the presence of genetic variations within coding exon 3 of SERPINA5 gene and FTO rs9939609 polymorphism in Iranian PTC patients. METHODS: A total of 122 patients (42 cases for SERPINA5 and 80 cases for FTO gene) and 120 healthy subjects (40 subjects or SERPINA5 and 80 subjects for FTO gene) were recruited. The genetic variation within coding exon 3 of SERPINA5 gene was evaluated by reaction-single-strand conformation polymorphism (PCR-SSCP) and FTO rs9939609 polymorphism was evaluated by RFLP-PCR assay. RESULTS: The PCR-SSCP technique detected two rs6115G>A and rs6112T>C genetic variations within coding exon 3 of SERPINA5 gene and approved also by direct sequencing. For rs6112T>C polymorphism seven patients was heterozygous and for rs6115G>A seven PTC patients were heterozygous and two patients were homozygous. CONCLUSION: This study indicated that SERPINA5 rs6115G>A and rs6112T>C polymorphisms might be a novel susceptibility locus for PTC in Iranian patients. However, our findings do not support an association between FTO rs9939609 polymorphism and PTC risk.