Immune Cell Infiltration Landscape of Ovarian Cancer to Identify Prognosis and Immunotherapy-Related Genes to Aid Immunotherapy.
Immune Cell Infiltration Landscape of Ovarian Cancer to Identify Prognosis and Immunotherapy-Related Genes to Aid Immunotherapy.
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卵巢癌的免疫细胞浸润情况可识别预后和免疫治疗相关基因以辅助免疫治疗
DOI：
10.3389/fcell.2021.749157
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发表时间：
2021
影响因子：
5.5
通讯作者：
Wu X
中科院分区：
文献类型：
--
作者：
Li X;Liang W;Zhao H;Jin Z;Shi G;Xie W;Wang H;Wu X
卵巢癌（OC）是妇科恶性肿瘤的第二大死亡原因。多项研究表明，肿瘤免疫治疗的疗效与肿瘤免疫细胞浸润（ICI）有关。然而，到目前为止，肿瘤微环境（TME）在OC中的免疫浸润景观尚未阐明。在本研究中，我们组织了癌症基因组图谱（TCGA）和基因表达综合数据库（GEO）中OC的转录组数据，评估了患者的TME信息，并构建了ICI评分，以预测接受免疫治疗的患者的临床获益。免疫相关基因进一步用于构建预后模型。在对ICI基因进行聚类分析后，我们发现ICI基因簇C中的患者预后最好，其肿瘤微环境中巨噬细胞M1和T细胞滤泡辅助细胞的比例最高。这一结果与多变量考克斯（multi-cox）分析结果一致。免疫相关基因构建的预后模型具有良好的预测性能。通过估计肿瘤突变负荷（TMB），我们还发现在高ICI评分组和低ICI评分组中存在具有统计学差异的多个基因突变频率。基于ICI评分的模型可能有助于筛选出从免疫治疗中获益的患者。筛选出的免疫相关基因可作为生物标志物和治疗靶点。
Ovarian cancer (OC) is the second leading cause of death in gynecological cancer. Multiple study have shown that the efficacy of tumor immunotherapy is related to tumor immune cell infiltration (ICI). However, so far, the Immune infiltration landscape of tumor microenvironment (TME) in OC has not been elucidated. In this study, We organized the transcriptome data of OC in the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, evaluated the patient’s TME information, and constructed the ICI scores to predict the clinical benefits of patients undergoing immunotherapy. Immune-related genes were further used to construct the prognostic model. After clustering analysis of ICI genes, we found that patients in ICI gene cluster C had the best prognosis, and their tumor microenvironment had the highest proportion of macrophage M1 and T cell follicular helper cells. This result was consistent with that of multivariate cox (multi-cox) analysis. The prognostic model constructed by immune-related genes had good predictive performance. By estimating Tumor mutation burden (TMB), we also found that there were multiple genes with statistically different mutation frequencies in the high and low ICI score groups. The model based on the ICI score may help to screen out patients who would benefit from immunotherapy. The immune-related genes screened may be used as biomarkers and therapeutic targets.
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DOI：
10.1056/nejmoa1003466
发表时间：
2010-08-19
期刊：
The New England journal of medicine
影响因子：
--
作者：
Hodi FS;O'Day SJ;McDermott DF;Weber RW;Sosman JA;Haanen JB;Gonzalez R;Robert C;Schadendorf D;Hassel JC;Akerley W;van den Eertwegh AJ;Lutzky J;Lorigan P;Vaubel JM;Linette GP;Hogg D;Ottensmeier CH;Lebbé C;Peschel C;Quirt I;Clark JI;Wolchok JD;Weber JS;Tian J;Yellin MJ;Nichol GM;Hoos A;Urba WJ
通讯作者：
Urba WJ
锌转运蛋白SLC39A13/ZIP13通过激活Src/FAK信号通路促进人卵巢癌细胞的转移
DOI：
10.1186/s13046-021-01999-3
发表时间：
2021-06-21
期刊：
Journal of experimental & clinical cancer research : CR
影响因子：
--
作者：
Cheng X;Wang J;Liu C;Jiang T;Yang N;Liu D;Zhao H;Xu Z
通讯作者：
Xu Z
影响因子：
5.8
作者：
Kursa, Miron B.;Rudnicki, Witold R.
通讯作者：
Rudnicki, Witold R.
影响因子：
20.3
作者：
Hirayama, Alexandre V.;Gauthier, Jordan;Turtle, Cameron J.
通讯作者：
Turtle, Cameron J.
DOI：
10.1016/j.jtho.2020.11.021
发表时间：
2021-03
期刊：
Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
影响因子：
--
作者：
Pan D;Hu AY;Antonia SJ;Li CY
通讯作者：
Li CY