Machine learning identification of NK cell immune characteristics in hepatocellular carcinoma based on single-cell sequencing and bulk RNA sequencing.

IF 1.6 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Fang Liu, Baohua Mei, Jianfeng Xu, Yong Zou, Gang Luo, Haiyu Liu
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Abstract

Background: Hepatocellular carcinoma (HCC) is a highly malignant tumor; however, its immune microenvironment and mechanisms remain elusive. Single-cell sequencing allows for the exploration of immune characteristics within tumor at the cellular level. However, current knowledge regarding the roles of different immune cell populations in liver cancer progression is limited.

Objective: The main objective of this study is to identify molecular markers with NK cell immune characteristics in hepatocellular carcinoma using various machine learning methods based on Single-Cell Sequencing and Bulk RNA Sequencing.

Methods: We collected samples from eight normal liver tissues and eight HCC tumor tissues and performed single-cell RNA sequencing for immune cell clustering and expression profile analysis. Using various bioinformatic approaches, we investigated the immune phenotype associated with natural killer (NK) cells expressing high CD7 level. In addition, we verified the role of CD7 in the growth of HCC after NK cell and HCC cells cocultured by RT-qPCR, MTS and Flow cytometer experiments. Finally, we constructed a machine learning model to develop a prognostic prediction system for HCC based on NK cell-related genes.

Results: Through single-cell typing, we found that the proportions of hepatocytes and NK cells were significantly elevated in the tumor samples. Moreover, we found that the expression of CD7 was high in HCC and correlated with prognosis. More importantly, Overexpression of CD7 in NK cells significantly inhibited the activity of MHCC97 cells and increased the number of apoptosis of HCC cells (p < 0.05). Furthermore, we observed that NK cells with high CD7 expression were associated with an activated immune phenotype.

Conclusion: Our study found that CD7 is an important biomarker for assessing immune status and predicting survival of HCC patients; hence, it is a potential target for immune therapy against HCC.

基于单细胞测序和大容量 RNA 测序的肝细胞癌 NK 细胞免疫特征的机器学习识别。
背景:肝细胞癌(HCC)是一种高度恶性的肿瘤;然而,其免疫微环境和机制仍然难以捉摸。单细胞测序可在细胞水平上探索肿瘤内的免疫特征。然而,目前有关不同免疫细胞群在肝癌进展中的作用的知识还很有限:本研究的主要目的是利用基于单细胞测序和大容量 RNA 测序的各种机器学习方法,识别肝细胞癌中具有 NK 细胞免疫特征的分子标记物:我们采集了8个正常肝组织和8个HCC肿瘤组织样本,并进行了单细胞RNA测序,用于免疫细胞聚类和表达谱分析。利用各种生物信息学方法,我们研究了与高水平表达 CD7 的自然杀伤(NK)细胞相关的免疫表型。此外,我们还通过 RT-qPCR、MTS 和流式细胞仪实验验证了 CD7 在 NK 细胞和 HCC 细胞共培养后对 HCC 生长的作用。最后,我们构建了一个机器学习模型,开发了基于NK细胞相关基因的HCC预后预测系统:通过单细胞分型,我们发现肿瘤样本中肝细胞和 NK 细胞的比例明显升高。此外,我们还发现 CD7 在 HCC 中的高表达与预后相关。更重要的是,CD7 在 NK 细胞中的过表达能明显抑制 MHCC97 细胞的活性,并增加 HCC 细胞的凋亡数量(p 结论:CD7 在 HCC 中的表达与预后相关:我们的研究发现,CD7 是评估免疫状态和预测 HCC 患者生存期的重要生物标志物;因此,它是针对 HCC 的免疫疗法的潜在靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Genes & genomics
Genes & genomics 生物-生化与分子生物学
CiteScore
3.70
自引率
4.80%
发文量
131
审稿时长
6-12 weeks
期刊介绍: Genes & Genomics is an official journal of the Korean Genetics Society (http://kgenetics.or.kr/). Although it is an official publication of the Genetics Society of Korea, membership of the Society is not required for contributors. It is a peer-reviewed international journal publishing print (ISSN 1976-9571) and online version (E-ISSN 2092-9293). It covers all disciplines of genetics and genomics from prokaryotes to eukaryotes from fundamental heredity to molecular aspects. The articles can be reviews, research articles, and short communications.
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