Development of a Novel Immune Infiltration-Based Gene Signature to Predict Prognosis and Immunotherapy Response of Patients With Cervical Cancer.
Development of a Novel Immune Infiltration-Based Gene Signature to Predict Prognosis and Immunotherapy Response of Patients With Cervical Cancer.
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开发基于免疫浸润的新型基因特征来预测宫颈癌患者的预后和免疫治疗反应。
DOI：
10.3389/fimmu.2021.709493
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发表时间：
2021
影响因子：
7.3
通讯作者：
Wu S
中科院分区：
文献类型：
--
作者：
Yu S;Li X;Zhang J;Wu S
Predictive models could indicate the clinical outcome of patients with carcinoma. Cervical cancer is one of the most frequently diagnosed female malignancies. Herein, we proposed an immune infiltration-related gene signature that predicts prognosis of patients with cervical cancer and depicts the immune landscape as well. We utilized the transcriptome data of The Cancer Genome Atlas (TCGA) and estimated the infiltration level of 28 immune cell types. We screened out four immune cell types conducive to patient survival and recognized their shared differentially expressed genes (DEGs). Four core genes (CHIT1, GTSF1L, PLA2G2D, and GNG8) that composed the ultimate signature were identified via univariate and multivariate Cox regression. The optimal model we built up could distinguish patients with cervical cancer into high-score and low-score subgroups. These two subgroups showed disparity in aspects of patient survival, immune infiltration landscape, and response to immune checkpoint inhibitors. Additionally, we found that GTSF1L was decreased gradually along with the severity of cervical lesions, and its potential role in immune contexture and clinical practice were also demonstrated. Our results suggested that the Immunoscore based on four immune-related genes could serve as a supplementary criterion to effectively foresee the survival outcome, tumor infiltration status, and immunotherapy efficacy of cervical cancer patients.
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影响因子：
8.8
作者：
Nedergaard BS;Ladekarl M;Thomsen HF;Nyengaard JR;Nielsen K
通讯作者：
Nielsen K
影响因子：
4.7
作者：
Bignotti E;Zanotti L;Todeschini P;Zizioli V;Romani C;Capoferri D;Tognon G;Sartori E;Calza S;Odicino F;Ravaggi A
通讯作者：
Ravaggi A
影响因子：
5.5
作者：
Kang Y;Huang J;Liu Y;Zhang N;Cheng Q;Zhang Y
通讯作者：
Zhang Y
DOI：
10.1126/science.aar3593
发表时间：
2018-10-12
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Cristescu R;Mogg R;Ayers M;Albright A;Murphy E;Yearley J;Sher X;Liu XQ;Lu H;Nebozhyn M;Zhang C;Lunceford JK;Joe A;Cheng J;Webber AL;Ibrahim N;Plimack ER;Ott PA;Seiwert TY;Ribas A;McClanahan TK;Tomassini JE;Loboda A;Kaufman D
通讯作者：
Kaufman D
影响因子：
11.5
作者：
Datar, Ila;Sanmamed, Miguel F.;Schalper, Kurt A.
通讯作者：
Schalper, Kurt A.