Assessment of LINC-PINT genetic polymorphisms and esophageal squamous cell carcinoma risk in the Hainan Han population

Esophageal squamous cell carcinoma (ESCC) is a malignant tumor with high incidence and mortality rates worldwide. This study aimed to investigate the correlation between polymorphisms and ESCC risk in the Hainan Han population. A total of 391 patients with ESCC and 452 healthy controls were enrolled...

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Veröffentlicht in:Annals of medicine (Helsinki) 2024-12, Vol.56 (1), p.2397569
Hauptverfasser: Tu, Ruisha, Zhong, Dunjing, Li, Ping, Li, Yongyu, Chen, Zhuang, Hu, Feixiang, Yuan, Guihong, Chen, Zhaowei, Yu, Shuyong, Song, Jian
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Sprache:eng
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Zusammenfassung:Esophageal squamous cell carcinoma (ESCC) is a malignant tumor with high incidence and mortality rates worldwide. This study aimed to investigate the correlation between polymorphisms and ESCC risk in the Hainan Han population. A total of 391 patients with ESCC and 452 healthy controls were enrolled to evaluate the effect of SNPs (single nucleotide polymorphisms) on ESCC susceptibility. Associations were evaluated by calculating odds ratios (OR) and 95% confidence intervals (CIs). Multifactor dimensionality reduction analysis was performed to explore the association between SNP-SNP interactions and ESCC susceptibility. We further determined the correlation between clinical indicators and SNP in patients with ESCC. Our study showed that rs157916 (OR 0.63,  = 0.011) and rs157928 (OR 0.80,  = 0.021) were associated with a decreased risk of ESCC. Stratified analysis indicated that rs157916 could decrease the risk of ESCC in people aged >64 years, in males, and non-drinkers (OR 0.58,  = 0.042; OR 0.58,  = 0.010; OR 0.62,  = 0.025, respectively). Rs16873842 was related to a decreased risk of ESCC in males (OR 0.70,  = 0.015). Rs7801029 was associated with ESCC risk in females (OR 0.39,  = 0.033) and non-drinkers (OR 0.68,  = 0.040). Rs7781295 decreased the ESCC risk in smokers (OR 0.58,  = 0.046) and drinkers (OR 0.58,  = 0.046). In addition, rs157928 played a protective role in ESCC risk in females (OR 0.39,  = 0.033) and non-smokers (OR 0.32,  = 0.006). Additionally, the best predictive model for ESCC was a combination of rs157916, rs16873842, rs7801029, rs7781295, rs28662387, and rs157928. Our study revealed that polymorphisms were associated with ESCC risk.
ISSN:0785-3890
1365-2060
1365-2060
DOI:10.1080/07853890.2024.2397569