Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
The School of Public Health, Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, China.
Comput Biol Med. 2023 Feb;153:106545. doi: 10.1016/j.compbiomed.2023.106545. Epub 2023 Jan 11.
Screening cancer genomes has provided an in-depth characterization of genetic variants such as copy number variations (CNVs) and gene expression changes of non-coding transcripts. Single-dimensional experiments are often designed to differentiate a patient cohort into various sets with the aim of identifying molecular changes among groups; however, this may be inadequate to decipher the causal relationship between molecular signatures in individual patients. To overcome this challenge with respect to personalized medicine, we implemented a patient-specific multi-dimensional integrative approach to uncover coherent signals from multiple independent platforms. In particular, we focused on the consistent gene dosage effects of CNVs for both mRNA and long non-coding RNA (lncRNA) expression in nine colorectal cancer patients. We identified 511 CNV-lncRNA-mRNA regulatory triplets associated with CNVs and aberrant expression of both mRNAs and lncRNAs. By filtering out inconsistent changes among CNVs, mRNAs, and lncRNAs, we further characterized 165 coherent motifs associated with 56 genes. In total, 108 motifs were linked with 31 copy number gains, 44 upregulated lncRNAs, and 45 upregulated mRNAs. Another 57 coherent downregulated motifs were also collected. We discuss how for many of these CNV-lncRNA-mRNA regulatory triplets, their clinical impact remains to be explored, including survival time, microsatellite instability, tumor stage, and primary tumor sites. By validating two example CNV-lncRNA-mRNA triplets with up- and down-regulation, we confirmed that individual variations in multiple dimensions are a robust tool to identify reliable molecular signals for personalized medicine. In summary, we utilized a patient-specific computational pipeline to explore the consistent CNV-driven motifs consisting of lncRNAs and mRNAs. We also identified LSM14B as a potential promoter in colorectal cancer progression, suggesting that it may serve as a target for colorectal cancer treatment.
癌症基因组筛查提供了对遗传变异(如拷贝数变异(CNV)和非编码转录本的基因表达变化)的深入描述。一维实验通常旨在将患者队列分为不同的组,以识别组间的分子变化;然而,这可能不足以破译个体患者分子特征之间的因果关系。为了克服个性化医学方面的这一挑战,我们实施了一种患者特异性的多维综合方法,以从多个独立平台中揭示连贯的信号。特别是,我们集中研究了 9 名结直肠癌患者的 mRNA 和长非编码 RNA(lncRNA)表达中 CNV 的一致基因剂量效应。我们确定了 511 个与 CNV 和 mRNA 和 lncRNA 异常表达相关的 CNV-lncRNA-mRNA 调控三联体。通过过滤 CNV、mRNA 和 lncRNA 之间不一致的变化,我们进一步表征了与 56 个基因相关的 165 个一致基序。总共,108 个基序与 31 个拷贝数增益、44 个上调的 lncRNA 和 45 个上调的 mRNA 相关。另外还收集了 57 个一致下调的基序。我们讨论了其中许多 CNV-lncRNA-mRNA 调控三联体的临床影响仍有待探索,包括生存时间、微卫星不稳定性、肿瘤分期和原发肿瘤部位。通过验证两个具有上调和下调的 CNV-lncRNA-mRNA 三联体的例子,我们证实了个体在多个维度上的变化是识别个性化医学可靠分子信号的有力工具。总之,我们利用患者特异性计算管道来探索由 lncRNA 和 mRNA 组成的一致的 CNV 驱动的基序。我们还确定了 LSM14B 作为结直肠癌进展中的潜在启动子,表明它可能成为结直肠癌治疗的靶点。