Mehmood Aamir, Nawab Sadia, Jin Yifan, Kaushik Aman Chandra, Wei Dong-Qing
Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, P. R. China.
State Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, P. R. China.
ACS Omega. 2023 Jan 20;8(4):3726-3735. doi: 10.1021/acsomega.2c04871. eCollection 2023 Jan 31.
Cholangiocarcinoma (CCA) involves various epithelial tumors historically linked with poor prognosis because of its aggressive sickness course, delayed diagnosis, and limited efficacy of typical chemotherapy in its advanced stages. In-depth molecular profiling has exposed a varied scenery of genomic alterations as CCA's oncogenic drivers. Previous studies have mainly focused on commonly occurring TP53 and KRAS alterations, but there is limited research conducted to explore other vital genes involved in CCA. We retrieved data from The Cancer Genome Atlas (TCGA) to hunt for additional CCA targets and plotted a mutational landscape, identifying key genes and their frequently expressed variants. Next, we performed a survival analysis for all of the top genes to shortlist the ones with better significance. Among those genes, we observed that MUC5B has the most significant -value of 0.0061. Finally, we chose two missense mutations at different positions in the vicinity of MUC5B N and C terminal domains. These mutations were further subjected to molecular dynamics (MD) simulation, which revealed noticeable impacts on the protein structure. Our study not only reveals one of the highly mutated genes with enhanced significance in CCA but also gives insights into the influence of its variants. We believe these findings are a good asset for understanding CCA from genomics and structural biology perspectives.
胆管癌(CCA)包括各种上皮性肿瘤,由于其侵袭性病程、诊断延迟以及晚期典型化疗疗效有限,历史上一直与不良预后相关。深入的分子分析揭示了作为CCA致癌驱动因素的基因组改变的多样图景。以往的研究主要集中在常见的TP53和KRAS改变上,但对CCA中涉及的其他重要基因的研究有限。我们从癌症基因组图谱(TCGA)中检索数据以寻找额外的CCA靶点并绘制突变图谱,确定关键基因及其频繁表达的变体。接下来,我们对所有顶级基因进行生存分析以筛选出具有更高显著性的基因。在这些基因中,我们观察到MUC5B的显著性值最高,为0.0061。最后,我们在MUC5B N端和C端结构域附近的不同位置选择了两个错义突变。这些突变进一步进行了分子动力学(MD)模拟,结果显示对蛋白质结构有显著影响。我们的研究不仅揭示了CCA中一个具有更高显著性的高突变基因,还深入了解了其变体的影响。我们相信这些发现对于从基因组学和结构生物学角度理解CCA是一笔宝贵财富。