Development of a Prognostic Model for Ovarian Cancer Patients Based on Novel Immune Microenvironment Related Genes.
Development of a Prognostic Model for Ovarian Cancer Patients Based on Novel Immune Microenvironment Related Genes.
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基于新型免疫微环境相关基因的卵巢癌患者预后模型的开发。
DOI：
10.3389/fonc.2021.647273
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发表时间：
2021
影响因子：
4.7
通讯作者：
Xu Y
中科院分区：
文献类型：
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作者：
Wang W;Wu Q;Wang Z;Ren S;Shen H;Shi W;Xu Y
卵巢癌（OV）已成为最致命的妇科癌症。然而，其治疗方法和分期系统还远不理想。在本研究中，利用大规模公共队列，我们提取了在肿瘤和正常卵巢组织中差异表达的免疫相关预后基因列表。重要的是，为卵巢癌患者开发了一种基于个体化免疫相关基因的预后模型（IPM）。此外，我们在基因表达综合数据库（GEO）中验证了我们的IPM，并比较了高危组和低危组之间的免疫图谱和通路。我们的研究结果可作为识别患者免疫亚型的重要模型，并有可能用于免疫治疗选择和患者管理。
Ovarian cancer (OV) has become the most lethal gynecological cancer. However, its treatment methods and staging system are far from ideal. In the present study, taking the advantage of large-scale public cohorts, we extracted a list of immune-related prognostic genes that differentially expressed in tumor and normal ovarian tissues. Importantly, an individualized immune-related gene based prognostic model (IPM) for OV patients were developed. Furthermore, we validated our IPM in Gene Expression Omnibus (GEO) repository and compared the immune landscape and pathways between high-risk and low-risk groups. The results of our study can serve as an important model to identify the immune subset of patients and has potential for use in immune therapeutic selection and patient management.
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影响因子：
20.3
作者：
Hope, Chelsea;Foulcer, Simon;Asimakopoulos, Fotis
通讯作者：
Asimakopoulos, Fotis
影响因子：
16.6
作者：
Downs-Canner S;Berkey S;Delgoffe GM;Edwards RP;Curiel T;Odunsi K;Bartlett DL;Obermajer N
通讯作者：
Obermajer N
影响因子：
5.4
作者：
Anderson, Per O;Manzo, Barbara A;Sundstedt, Anette;Minaee, Sophie;Symonds, Alistair;Khalid, Sabah;Rodriguez-Cabezas, Maria E;Nicolson, Kirsty;Li, Suling;Wraith, David C;Wang, Ping
通讯作者：
Wang, Ping
影响因子：
4.7
作者：
Babli, Saleha;Payne, Richard J.;Rivera, Juan
通讯作者：
Rivera, Juan
影响因子：
30.5
作者：
通讯作者：
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