FGFR4 Gene Polymorphism Reduces the Risk of Distant Metastasis in Lung Adenocarcinoma in Taiwan.
Ju-Pi LiHsien-Cheng HuangPo-Jen YangChien-Yuan ChangYu-Hua ChaoThomas Chang-Yao TsaoHsuan HuangYu-Ching HungMing-Ju HsiehChiao-Wen LinPublished in: International journal of environmental research and public health (2020)
Fibroblast growth factor receptor 4 (FGFR4) is involved in multiple physiological and pathological processes. Several genetic variants of FGFR4 have been shown to be associated with tumor progression in many cancers. However, its association, such as genetic variants and expression levels, with lung cancer is controversial. The present study examined the relationship between four single-nucleotide polymorphisms (SNPs; rs2011077 T/C, rs351855 G/A, rs7708357 G/A, and rs1966265 A/G) of FGFR4 and the risk of lung adenocarcinoma with the epidermal growth factor receptor (EGFR) mutation status in a Taiwanese cohort. The results demonstrated that FGFR4 rs2011077 (odds ratio (OR) = 0.348, 95% confidence interval (CI) = 0.136-0.891, p = 0.024), and rs351855 (OR = 0.296, 95% CI = 0.116-0.751, p = 0.008) showed an inverse association with distant metastasis in wild-type EGFR lung adenocarcinoma. Furthermore, a database analysis using The Cancer Genome Atlas revealed that the higher FGFR4 expression level was correlated with poor survival rates in wild-type EGFR lung adenocarcinoma. In conclusion, the data suggest that FGFR4 SNPs may help in identifying patient subgroups at low-risk for tumor metastasis, among carriers of lung adenocarcinoma bearing wild-type EGFR.
Keyphrases
- epidermal growth factor receptor
- wild type
- tyrosine kinase
- small cell lung cancer
- poor prognosis
- advanced non small cell lung cancer
- lymph node
- single cell
- long non coding rna
- emergency department
- papillary thyroid
- binding protein
- case report
- young adults
- machine learning
- squamous cell
- deep learning
- dna methylation
- genome wide association