Impact of LncRNA GAS5 Genetic Variants and the Epidermal Growth Factor Receptor Phenotypes on the Clinicopathological Characteristics of Lung Adenocarcinoma Patients.
Ming-Hong HsiehYi-Liang WuThomas Chang-Yao TsaoYi-Wen HuangJian-Cheng LinChia-Yi LeeMing-Ju HsiehChiao-Wen LinPublished in: International journal of environmental research and public health (2022)
The aim of the current study was to evaluate the combined effect of the single nucleotide polymorphism (SNP) in long non-coding RNA growth arrest-specific 5 (GAS5) and the phenotypes of epidermal growth factor receptor (EGFR) on the clinicopathological characteristics of lung adenocarcinoma. The present study examined the relationship between the GAS5 single-nucleotide polymorphisms (SNPs; rs145204276 Ins/Del, rs55829688 T/C) and the clinicopathological factors in 539 lung adenocarcinoma patients with or without EGFR mutations. We found that the genotype distributions of the two GAS5 SNPs between different EGFR genotypes were similar after adjusting for age, gender and smoking history. The GAS5 SNP rs145204276 Ins/Del + Del/Del illustrated a higher distribution with an advanced tumor stage ( p = 0.030), larger tumor T status ( p = 0.019), positive lymph node status ( p = 0.014) and distal metastases ( p = 0.011) in the EGFR wild type group. In the subgroup analysis of the EGFR wild type population, the presence of GAS5 SNP rs145204276 Ins/Del + Del/Del was correlated to an advanced tumor stage ( p = 0.014) and distal metastases ( p = 0.020) in non-smokers. In conclusion, these data indicate that the GAS5 SNP rs145204276 variant may help predict tumor stage, lymph node metastasis and distal metastases in patients with EGFR wild type lung adenocarcinoma.
Keyphrases
- epidermal growth factor receptor
- wild type
- tyrosine kinase
- advanced non small cell lung cancer
- long non coding rna
- genome wide
- room temperature
- small cell lung cancer
- lymph node metastasis
- lymph node
- carbon dioxide
- end stage renal disease
- poor prognosis
- high density
- minimally invasive
- newly diagnosed
- mental health
- chronic kidney disease
- gene expression
- smoking cessation
- peritoneal dialysis
- radiation therapy
- electronic health record
- early stage
- artificial intelligence
- big data
- cell cycle
- sentinel lymph node