Yang Caiqin, Guo Xin, Li Jianjie, Han Jingwan, Jia Lei, Wen Hong-Ling, Sun Chengxi, Wang Xiaolin, Zhang Bohan, Li Jingyun, Chi Yujia, An Tongtong, Wang Yuyan, Wang Ziping, Li Hanping, Li Lin
Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China.
Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Front Microbiol. 2022 Mar 10;13:850444. doi: 10.3389/fmicb.2022.850444. eCollection 2022.
Lung cancer is the second most common cancer worldwide and the leading cause of cancer death in the world. Therefore, there is an urgent need to develop new and effective biomarkers for diagnosis and treatment. Under this circumstance, human endogenous retroviruses (HERVs) were recently introduced as novel biomarkers for cancer diagnosis. This study focused on the correlation between lung cancer and HERV-K (HML-2) transcription levels. At the cellular level, different types of lung cancer cells and human normal lung epithelial cells were used to analyze the transcription levels of the HERV-K (HML-2) , , and genes by RT-qPCR. At the level of lung cancer patients, blood samples with background information from 734 lung cancer patients and 96 healthy persons were collected to analyze the transcription levels of HERV-K (HML-2) , , and genes. The results showed that the transcriptional levels of the HERV-K (HML-2) , , and genes in lung cancer cells and lung cancer patient blood samples were significantly higher than those in the healthy controls, which was also verified by RNAScope ISH technology. In addition, we also found that there was a correlation between the abnormal transcription levels of HERV-K (HML-2) genes in lung cancer patients and the clinicopathological parameters of lung cancer. We also identified the distribution locations of the , , and primer sequences on each chromosome and analyzed the function of these loci. In conclusion, HERV-K (HML-2) genes may be a potential biomarker for the diagnosis of lung cancer.
肺癌是全球第二大常见癌症,也是全球癌症死亡的主要原因。因此,迫切需要开发新的有效生物标志物用于诊断和治疗。在这种情况下,人类内源性逆转录病毒(HERVs)最近被作为癌症诊断的新型生物标志物引入。本研究聚焦于肺癌与HERV-K(HML-2)转录水平之间的相关性。在细胞水平上,使用不同类型的肺癌细胞和人正常肺上皮细胞,通过RT-qPCR分析HERV-K(HML-2)、、和基因的转录水平。在肺癌患者层面,收集了734例肺癌患者和96例健康人的带有背景信息的血样,以分析HERV-K(HML-2)、、和基因的转录水平。结果显示,肺癌细胞和肺癌患者血样中HERV-K(HML-2)、、和基因的转录水平显著高于健康对照,这也通过RNAScopeISH技术得到了验证。此外,我们还发现肺癌患者中HERV-K(HML-2)基因的异常转录水平与肺癌的临床病理参数之间存在相关性。我们还确定了、、和引物序列在各条染色体上的分布位置,并分析了这些位点的功能。总之,HERV-K(HML-2)基因可能是肺癌诊断的潜在生物标志物。