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肺腺癌和结肠腺癌中的基因组不稳定性基因表明转录组对拷贝数改变的影响具有器官特异性。

Genomic instability genes in lung and colon adenocarcinoma indicate organ specificity of transcriptomic impact on Copy Number Alterations.

机构信息

Department of Medicine, Hematology/Oncology Section, Center for Cancer Prevention and Drug Development, University of Oklahoma Health Sciences Center (OUHSC), Oklahoma City, OK, USA.

Stephenson Cancer Center, University of Oklahoma Health Sciences Center (OUHSC), Oklahoma City, OK, USA.

出版信息

Sci Rep. 2022 Jul 11;12(1):11739. doi: 10.1038/s41598-022-15692-8.

Abstract

Genomic instability (GI) in cancer facilitates cancer evolution and is an exploitable target for therapy purposes. However, specific genes involved in cancer GI remain elusive. Causal genes for GI via expressions have not been comprehensively identified in colorectal cancers (CRCs). To fill the gap in knowledge, we developed a data mining strategy (Gene Expression to Copy Number Alterations; "GE-CNA"). Here we applied the GE-CNA approach to 592 TCGA CRC datasets, and identified 500 genes whose expression levels associate with CNA. Among these, 18 were survival-critical (i.e., expression levels correlate with significant differences in patients' survival). Comparison with previous results indicated striking differences between lung adenocarcinoma and CRC: (a) less involvement of overexpression of mitotic genes in generating genomic instability in the colon and (b) the presence of CNA-suppressing pathways, including immune-surveillance, was only partly similar to those in the lung. Following 13 genes (TIGD6, TMED6, APOBEC3D, EP400NL, B3GNT4, ZNF683, FOXD4, FOXD4L1, PKIB, DDB2, MT1G, CLCN3, CAPS) were evaluated as potential drug development targets (hazard ratio [> 1.3 or < 0.5]). Identification of specific CRC genomic instability genes enables researchers to develop GI targeting approach. The new results suggest that the "targeting genomic instability and/or aneuploidy" approach must be tailored for specific organs.

摘要

基因组不稳定性(GI)促进了癌症的进化,是治疗的可利用靶点。然而,癌症 GI 中涉及的特定基因仍然难以捉摸。在结直肠癌(CRC)中,通过表达导致 GI 的因果基因尚未被全面鉴定。为了填补知识空白,我们开发了一种数据挖掘策略(基因表达与拷贝数改变;“GE-CNA”)。在这里,我们将 GE-CNA 方法应用于 592 个 TCGA CRC 数据集,并鉴定出 500 个与 CNA 相关的基因表达水平。在这些基因中,有 18 个是生存关键基因(即,表达水平与患者生存的显著差异相关)。与之前的结果比较表明,肺腺癌和 CRC 之间存在显著差异:(a)在结肠中产生基因组不稳定性时,有丝分裂基因的过度表达涉及较少;(b)存在 CNA 抑制途径,包括免疫监视,与肺中的途径只有部分相似。随后评估了 13 个基因(TIGD6、TMED6、APOBEC3D、EP400NL、B3GNT4、ZNF683、FOXD4、FOXD4L1、PKIB、DDB2、MT1G、CLCN3、CAPS)作为潜在的药物开发靶点(风险比[>1.3 或<0.5])。鉴定出特定的 CRC 基因组不稳定性基因使研究人员能够开发针对 GI 的方法。新的结果表明,“针对基因组不稳定性和/或非整倍体”的方法必须针对特定器官进行定制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45d7/9273645/157f408a8fb9/41598_2022_15692_Fig1_HTML.jpg

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