Abstract

The aim of the current study is to investigate potential associations among Long Noncoding RNA (LncRNA) H19 single nucleotide polymorphism (SNP) and epidermal growth factor receptor (EGFR) phenotypes on the clinicopathological characteristics of lung adenocarcinoma (LADC). Five loci of LncRNA H19 SNPs (rs217727, rs2107425, rs2839698, rs3024270, and rs3741219) were genotyped by using TaqMan allelic discrimination in 223 LADC patients with wild-type EGFR phenotype and 323 LADC individuals with EGFR mutations. After the statistical analyses, patients with the EGFR mutation were related to a higher distribution frequency of rs217727 SNP CT heterozygote (p = 0.030), and the female population with EGFR mutation demonstrated a higher distribution frequency of rs217727 SNP CT heterozygote (p < 0.001) and rs2107425 CT heterozygote (p = 0.002). In addition, the presence of LncRNA H19 SNP rs217727 T allele (CT + TT) in patients with EGFR wild-type was associated to higher tumor T status (stage III or IV, p = 0.037) and poorer cell differentiation status (poor differentiation, p = 0.012) compared to those EGFR wild-type individuals with LncRNA H19 SNP rs217727 CC allele. Besides, a prominently higher tumor T status was found in subjects with LncRNA H19 SNP rs2107425 T allele (CT + TT) (stage III or IV, p = 0.007) compared to EGFR wild-type LADC individuals with LncRNA CC allele in EGFR wild-type patients. Our findings suggest that the presence of LncRNA H19 SNP rs217727 is related to the EGFR mutation in LADC patients, and the LncRNA H19 SNP rs217727 and rs2107425 are associated with progressed tumor status for LADC patients with EGFR wild-type.

Highlights

  • Lung adenocarcinoma (LADC) is the most common type of lung cancer throughout the world in both genders [1]

  • About the genotype distribution of Long Noncoding RNA (LncRNA) H19 single nucleotide polymorphism (SNP) between different epidermal growth factor receptor (EGFR) phenotypes, the rs217727 SNP CT + TT heterozygote showed a higher distribution frequency in the EGFR mutation group (AOR: 1.46, 95% confidence intervals (CI): 1.01–2.13, p = 0.047) which was mainly due to the higher distribution frequency of rs217727 SNP CT heterozygote in EGFR mutation group (AOR: 1.56, 95% CI: 1.05–2.34, p = 0.030)

  • The female population with EGFR mutation demonstrated a higher distribution frequency of rs217727 SNP CT heterozygote (AOR: 2.94, 95% CI: 1.62-5.33, p < 0.001), rs217727 SNP CT + TT heterozygote (AOR: 2.44, 95% CI: 1.44–4.15, p < 0.001), rs2107425

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Summary

Objectives

The aim of the current study is to investigate potential associations among Long Noncoding. The purpose of the current study is to evaluate the distribution of several

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