Natural killer cell-related gene signature predicts malignancy of glioma and the survival of patients.
Natural killer cell-related gene signature predicts malignancy of glioma and the survival of patients.
复制标题
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率
DOI：
10.1186/s12885-022-09230-y
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发表时间：
2022-03-02
期刊：
影响因子：
3.8
通讯作者：
Zeng Y
中科院分区：
文献类型：
--
作者：
Li C;Liu F;Sun L;Liu Z;Zeng Y
基于自然杀伤（NK）细胞的疗法是最有前途的抗癌策略之一。本研究旨在探讨自然杀伤细胞相关基因在胶质瘤中的表达及其预后价值。使用中国胶质瘤基因组图谱（CGGA）开发自然杀伤细胞相关标签。采用多因素考克斯比例风险模型建立风险评分。包括具有来自CGGA数据库的全转录组表达数据的326个神经胶质瘤样品的队列用于发现。癌症基因组图谱（TCGA）数据集用于验证。GO和KEGG被用来揭示与自然杀伤细胞相关特征相关的生物学过程和功能。我们还收集了胶质瘤患者的临床病理特征，以分析肿瘤恶性程度和患者生存率的相关性。我们筛选NK相关基因以建立预后标记，并根据标记确定风险评分。我们发现，NK相关的风险评分是独立的各种临床因素。自然杀伤细胞基因表达与胶质瘤临床病理特征相关。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相关风险评分结合PD 1/PDL 1患者可以预测患者的结局。自然杀伤细胞相关基因标签可以预测胶质瘤的恶性程度和患者的生存期，为胶质瘤恶性程度的研究和个体化免疫治疗提供了新的视角。在线版本包含补充材料，可通过10.1186/s12885-022-09230-y获得。
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. 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. 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. 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. The online version contains supplementary material available at 10.1186/s12885-022-09230-y.
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影响因子：
4.6
作者：
Mou X;Zhou Y;Jiang P;Zhou T;Jiang Q;Xu C;Liu H;Zheng T;Yuan G;Zhang Y;Chen D;Mao C
通讯作者：
Mao C
影响因子：
3.9
作者：
Kmiecik, Justyna;Zimmer, Jacques;Chekenya, Martha
通讯作者：
Chekenya, Martha
铁死亡相关基因特征预测神经胶质瘤细胞死亡和神经胶质瘤患者进展
影响因子：
5.5
作者：
Liu, Han-jie;Hu, Hui-min;Jiang, Tao
通讯作者：
Jiang, Tao
影响因子：
2.9
作者：
Kamei R;Yoshimura K;Yoshino S;Inoue M;Asao T;Fuse M;Wada S;Kuramasu A;Furuya-Kondo T;Oga A;Iizuka N;Suzuki N;Maeda N;Watanabe Y;Matsukuma S;Iida M;Takeda S;Ueno T;Yamamoto N;Fukagawa T;Katai H;Sasaki H;Hazama S;Oka M;Nagano H
通讯作者：
Nagano H
影响因子：
7.8
作者：
Chan, Isaac S.;Knutsdottir, Hildur;Ewald, Andrew Josef
通讯作者：
Ewald, Andrew Josef