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自然杀伤细胞相关基因特征可预测脑胶质瘤的恶性程度和患者的生存情况。

Natural killer cell-related gene signature predicts malignancy of glioma and the survival of patients.

机构信息

Department of Neurosurgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan, China.

National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan, China.

出版信息

BMC Cancer. 2022 Mar 2;22(1):230. doi: 10.1186/s12885-022-09230-y.

DOI:10.1186/s12885-022-09230-y
PMID:35236310
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8892793/
Abstract

BACKGROUND

Natural killer (NK) cells-based therapies are one of the most promising strategies against cancer. The aim of this study is to investigate the natural killer cell related genes and its prognostic value in glioma.

METHODS

The Chinese Glioma Genome Atlas (CGGA) was used to develop the natural killer cell-related signature. Risk score was built by multivariate Cox proportional hazards model. A cohort of 326 glioma samples with whole transcriptome expression data from the CGGA database was included for discovery. The Cancer Genome Atlas (TCGA) datasets was used for validation. GO and KEGG were used to reveal the biological process and function associated with the natural killer cell-related signature. We also collected the clinical pathological features of patients with gliomas to analyze the association with tumor malignancy and patients' survival.

RESULTS

We screened for NK-related genes to build a prognostic signature, and identified the risk score based on the signature. We found that NK-related risk score was independent of various clinical factors. Nature-killer cell gene expression is correlated with clinicopathological features of gliomas. Innovatively, we demonstrated the tight relation between the risk score and immune checkpoints, and found NK-related risk score combined with PD1/PDL1 patients could predict the patient outcome.

CONCLUSION

Natural killer cell-related gene signature can predict malignancy of glioma and the survival of patients, these results might provide new view for the research of glioma malignancy and individual immunotherapy.

摘要

背景

自然杀伤 (NK) 细胞疗法是对抗癌症最有前途的策略之一。本研究旨在探讨 NK 细胞相关基因及其在神经胶质瘤中的预后价值。

方法

利用中国神经胶质瘤基因组图谱 (CGGA) 开发 NK 细胞相关特征。通过多变量 Cox 比例风险模型构建风险评分。纳入 CGGA 数据库中 326 例具有全转录组表达数据的神经胶质瘤样本进行发现。使用癌症基因组图谱 (TCGA) 数据集进行验证。GO 和 KEGG 用于揭示与 NK 细胞相关特征相关的生物学过程和功能。我们还收集了神经胶质瘤患者的临床病理特征，以分析与肿瘤恶性程度和患者生存的相关性。

结果

我们筛选出 NK 相关基因构建预后特征，并基于该特征确定了风险评分。我们发现 NK 相关风险评分独立于各种临床因素。自然杀伤细胞基因表达与神经胶质瘤的临床病理特征相关。创新性地，我们证明了风险评分与免疫检查点之间的紧密关系，并发现 NK 相关风险评分与 PD1/PDL1 患者结合可预测患者的预后。

结论

自然杀伤细胞相关基因特征可预测神经胶质瘤的恶性程度和患者的生存，这些结果可能为神经胶质瘤恶性程度和个体免疫治疗的研究提供新的视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d59/8892793/0732f157e115/12885_2022_9230_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d59/8892793/cfc71077f097/12885_2022_9230_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d59/8892793/cbf79c442473/12885_2022_9230_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d59/8892793/4973ecfac183/12885_2022_9230_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d59/8892793/1657c620b531/12885_2022_9230_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d59/8892793/4606f0e33121/12885_2022_9230_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d59/8892793/0732f157e115/12885_2022_9230_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d59/8892793/cfc71077f097/12885_2022_9230_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d59/8892793/cbf79c442473/12885_2022_9230_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d59/8892793/4973ecfac183/12885_2022_9230_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d59/8892793/1657c620b531/12885_2022_9230_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d59/8892793/4606f0e33121/12885_2022_9230_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d59/8892793/0732f157e115/12885_2022_9230_Fig6_HTML.jpg

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