生物
肝细胞癌
肝癌
免疫系统
肿瘤微环境
转录组
基因
癌症研究
恶性肿瘤
癌症
癌细胞
自然杀伤细胞
计算生物学
免疫学
遗传学
细胞毒性T细胞
基因表达
体外
作者
Wenqing Tang,Fansheng Meng,Miao Li,Yuqin Li,Wujun Xiong,Danying Zhang,Biwei Yang
摘要
Abstract Background Liver cancer, a common malignancy within the digestive system, presents with a particularly grim prognosis. Within the immune microenvironment, the role of natural killer (NK) cells in liver cancer remains unclear. Methods We sourced data on clinical parameters and gene expressions for liver cancer patients from The Cancer Genome Atlas Program database and carried out all analyses using R software and its relevant codes. Results In our research, we delved into the genes intertwined with NK cells in hepatocellular carcinoma (HCC). Leveraging the QUANTISEQ and MCPCOUNTER algorithms to quantify NK cells, we spotlighted genes vital to the recruitment of NK cells. Among these genes, GDE1, WDFY3, DNAJB14, PKD2, DGAT2, SGMS2 and MKNK2 showed a strong correlation with patient outcomes. We also mapped out the single‐cell expression trajectories of these genes within the HCC milieu. From our findings, SGMS2 emerged as a key gene warranting further scrutiny. Our in‐depth analysis of SGMS2 shed light on its influence over specific biological pathways, its contribution to the immune landscape and its role in genomic instability within HCC. Drawing from this, we formulated a predictive model rooted in SGMS2‐associated genes. This model showcased remarkable precision across both training and validation cohorts. Conclusions Overall, our investigation underscored the profound implications of SGMS2, a gene pivotal to NK cell infiltration, in the landscape of HCC, thereby positioning it as a potential linchpin in oncological strategies.
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