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CD44 Gene Polymorphisms as a Risk Factor for Susceptibility and Their Effect on the Clinicopathological Characteristics of Lung Adenocarcinoma in Male Patients

Lung adenocarcinoma is a subtype of lung cancer with high morbidity and mortality. CD44 is instrumental in many physiological and tumor pathological processes. The expression of unique single nucleotide polymorphisms (SNPs) contributes to protein dysfunction and influences cancer susceptibility. In...

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Published in:International journal of environmental research and public health 2020-04, Vol.17 (9), p.2981
Main Authors: Li, Ju-Pi, Hsieh, Ming-Ju, Chou, Ying-Erh, Chao, Yu-Hua, Tsao, Thomas Chang-Yao, Yang, Shun-Fa
Format: Article
Language:English
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Summary:Lung adenocarcinoma is a subtype of lung cancer with high morbidity and mortality. CD44 is instrumental in many physiological and tumor pathological processes. The expression of unique single nucleotide polymorphisms (SNPs) contributes to protein dysfunction and influences cancer susceptibility. In the current study, we investigated the relationship between polymorphisms and the susceptibility to lung adenocarcinoma with or without epidermal growth factor receptor (EGFR) gene mutations. This study included 279 patients with lung adenocarcinoma. In total, six SNPs (rs1425802, rs11821102, rs10836347, rs13347, rs187115, and rs713330) were genotyped using a real-time polymerase chain reaction. We found no significant differences in genotype distribution of polymorphisms between EGFR wild-type and EGFR mutation type in patients with lung adenocarcinoma. We observed a strong association between rs11821102 G/A polymorphism and EGFR L858R mutation (odds ratio (OR) = 3.846, 95% confidence interval (CI) = 1.018-14.538; = 0.037) compared with the EGFR wild-type group. In the subgroup of male patients with lung adenocarcinoma harboring the EGFR wild-type, both rs713330 T/C (OR = 4.317, 95% CI = 1.029-18.115; = 0.035) and rs10836347 C/T polymorphisms (OR = 9.391, 95% CI = 1.061-83.136; = 0.019) exhibited significant associations with tumor size and invasion. Data from the present study suggest that SNPs may help to predict cancer susceptibility and tumor growth in male patients with lung adenocarcinoma.
ISSN:1660-4601
1661-7827
1660-4601
DOI:10.3390/ijerph17092981