Hepatocellular Carcinoma TCGA-LIHC Mutation Information CSV (TCGA_LIHC_Mutation_Input.csv)

Background: While the acquired risk factors of liver cancer in Asia are relatively well understood, the underlying genetic background of liver cancer in Asians has not been well established or correlated with clinical outcomes. Objective: To identify gene mutations linked with worse outcomes in Asian patients with hepatocellular carcinoma (HCC). Methods: A total of 347 Asian and Non-Asian patients with HCC were analyzed in this study. TCGA patient mutation and clinical data were downloaded through TCGAbiolinksGUI and analyzed using the Python NumPy, Matplotlib, seaborn, and SciPy libraries. Statistical significance was determined by Welch’s t-test (unequal variances t-test), with P-values Results: Mutations in five genes (TP53, TTN, OBSCN, MUC5B, CSMD1) were statistically linked with increased mortality in Asians compared to non-Asians, four of which (TTN, OBSCN, MUC5B, CSMD1) were also more prevalent in the Asian population. Within the Asian cohort, two gene mutations (TTN, HMCN1) were statistically linked with worse outcomes. The TP53 mutation predicts worse outcomes within the non-Asian cohort, but not within the Asian cohort. Conclusions: This study identified multiple genetic biomarkers that can aid in the recognition, surveillance, prognosis, and gene therapy of HCC.

研究背景：尽管亚洲人群肝细胞肝癌（hepatocellular carcinoma, HCC）的获得性危险因素已得到较为充分的阐明，但亚裔肝癌患者潜在的遗传背景及其与临床结局的关联尚未得到明确界定。
研究目的：本研究旨在明确与亚裔肝细胞肝癌患者不良临床结局相关的基因突变。
研究方法：本研究共纳入347例亚裔与非亚裔肝细胞肝癌患者进行分析。通过TCGAbiolinksGUI工具下载癌症基因组图谱（The Cancer Genome Atlas, TCGA）的患者突变及临床数据，并采用Python语言的NumPy、Matplotlib、seaborn及SciPy库进行数据分析。采用韦尔奇t检验（方差不齐t检验）判断统计学显著性，以P值
研究结果：与非亚裔患者相比，亚裔患者中5个基因（TP53、TTN、OBSCN、MUC5B、CSMD1）的突变与死亡率升高存在统计学关联，其中4个基因（TTN、OBSCN、MUC5B、CSMD1）在亚裔人群中的突变频率也更高。在亚裔队列中，2个基因（TTN、HMCN1）的突变与不良临床结局存在统计学关联。TP53突变可预测非亚裔队列患者的不良结局，但在亚裔队列中无此关联。
研究结论：本研究明确了多个可用于辅助肝细胞肝癌（HCC）的筛查、监测、预后评估及基因治疗的遗传生物标志物。