Chen Peixin, Guo Haoyue, Liu Yu, Chen Bin, Zhao Sha, Wu Shengyu, Li Wei, Wang Lei, Jia Keyi, Wang Hao, Jiang Minlin, Tang Xuzhen, Qi Hui, Dai Chunlei, Ye Junyan, He Yayi
Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, No 507 Zhengmin Road, Shanghai 200433, China; Medical School, Tongji University, No 1239 Siping Road, Shanghai 200433, China.
Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, No 507 Zhengmin Road, Shanghai 200433, China.
Genomics. 2021 May;113(3):1114-1126. doi: 10.1016/j.ygeno.2020.12.045. Epub 2021 Mar 8.
In the study, Methylated DNA immunoprecipitation sequencing, RNA sequencing, and whole-exome sequencing were employed to clinical small cell lung cancer (SCLC) patients. Then, we verified the therapeutic predictive effects of differentially methylated genes (DMGs) in 62 SCLC cell lines. Of 4552 DMGs between chemo-sensitive and chemo-insensitive group, coding genes constituted the largest percentage (85.08%), followed by lncRNAs (10.52%) and miRNAs (3.56%). Both two groups demonstrated two methylation peaks near transcription start site and transcription end site. Two lncRNA-miRNA-mRNA networks suggested the extensive genome connection between chemotherapy efficacy-related non-coding RNAs (ncRNAs) and mRNAs. Combing miRNAs and lncRNAs could effectively predict chemotherapy response in SCLC. In addition, we also verified the predictive values of mutated genes in SCLC cell lines. This study was the first to evaluate multiple drugs efficacy-related ncRNAs and mRNAs which were modified by methylation in SCLC. DMGs identified in our research might serve as promising therapeutic targets to reverse drugs-insensitivity by complex lncRNA-miRNA-mRNA mechanisms in SCLC.
在该研究中,对临床小细胞肺癌(SCLC)患者采用了甲基化DNA免疫沉淀测序、RNA测序和全外显子组测序。然后,我们在62个SCLC细胞系中验证了差异甲基化基因(DMGs)的治疗预测效果。在化疗敏感组和化疗不敏感组之间的4552个DMGs中,编码基因占比最大(85.08%),其次是长链非编码RNA(lncRNAs,占10.52%)和微小RNA(miRNAs,占3.56%)。两组均在转录起始位点和转录终止位点附近显示出两个甲基化峰。两个lncRNA-miRNA-mRNA网络表明化疗疗效相关的非编码RNA(ncRNAs)和mRNA之间存在广泛的基因组联系。联合miRNAs和lncRNAs能够有效预测SCLC的化疗反应。此外,我们还验证了SCLC细胞系中突变基因的预测价值。本研究首次评估了SCLC中经甲基化修饰的多种与药物疗效相关的ncRNAs和mRNAs。我们研究中鉴定出的DMGs可能通过复杂的lncRNA-miRNA-mRNA机制作为逆转SCLC药物不敏感性的有前景的治疗靶点。