Lu Guojun, Liu Hongliang, Wang Huilin, Luo Sheng, Du Mulong, Christiani David C, Wei Qingyi
Department of Respiratory Medicine, Nanjing Chest Hospital, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina, USA.
Int J Cancer. 2025 Jun 1;156(11):2107-2117. doi: 10.1002/ijc.35305. Epub 2024 Dec 20.
Fibroblasts are important components in the tumor microenvironment and can affect tumor progression and metastasis. However, the roles of genetic variants of the fibroblast-related genes (FRGs) in the prognosis of non-small-cell lung cancer (NSCLC) patients have not been reported. Therefore, we investigated the associations between 26,544 single nucleotide polymorphisms (SNPs) in 291 FRGs and survival of NSCLC patients from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. In Cox regression multivariable analysis, we found that 661 SNPs were associated with NSCLC overall survival (OS). Then we validated these SNPs in another independent replication dataset of 984 patients from the Harvard Lung Cancer Susceptibility (HLCS) Study. Finally, we identified two independent SNPs (i.e., FER rs7716388 A>G and SULF1 rs11785839 G>C) that remained significantly associated with NSCLC survival with hazards ratios (HRs) of 0.87 (95% confidence interval [CI] = 0.77-0.98, p = 0.018) and 0.88 (95% CI = 0.79-0.99, p = 0.033), respectively. Combined analysis for these two SNPs showed that the number of protective alleles was associated with better OS and disease-specific survival. Expression quantitative trait loci analysis indicated that the FER rs7716388 G allele was associated with the up-regulation of FER mRNA expression levels in lung tissue. Our results indicated that these two functional SNPs in the FRGs may be prognostic biomarkers for the prognosis of NSCLC patients, and the possible mechanism may be through modulating the expression of their corresponding genes.
成纤维细胞是肿瘤微环境中的重要组成部分,可影响肿瘤的进展和转移。然而,成纤维细胞相关基因(FRGs)的遗传变异在非小细胞肺癌(NSCLC)患者预后中的作用尚未见报道。因此,我们研究了291个FRGs中的26544个单核苷酸多态性(SNPs)与前列腺、肺、结肠和卵巢(PLCO)癌症筛查试验中NSCLC患者生存情况之间的关联。在Cox回归多变量分析中,我们发现661个SNPs与NSCLC总生存期(OS)相关。然后我们在来自哈佛肺癌易感性(HLCS)研究的另一个984例患者的独立复制数据集中验证了这些SNPs。最后,我们确定了两个独立的SNPs(即FER rs7716388 A>G和SULF1 rs11785839 G>C),它们与NSCLC生存仍显著相关,风险比(HRs)分别为0.87(95%置信区间[CI]=0.77-0.98,p=0.018)和0.88(95%CI=0.79-0.99,p=0.033)。对这两个SNPs的联合分析表明,保护性等位基因的数量与更好的OS和疾病特异性生存相关。表达数量性状位点分析表明,FER rs7716388 G等位基因与肺组织中FER mRNA表达水平的上调相关。我们的结果表明,FRGs中的这两个功能性SNPs可能是NSCLC患者预后的生物标志物预后,其可能机制可能是通过调节其相应基因的表达。