The Prognostic Value of the DNA Repair Gene Signature in Head and Neck Squamous Cell Carcinoma.
The Prognostic Value of the DNA Repair Gene Signature in Head and Neck Squamous Cell Carcinoma.
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DNA 修复基因特征在头颈鳞状细胞癌中的预后价值。
DOI：
10.3389/fonc.2021.710694
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发表时间：
2021
影响因子：
4.7
通讯作者：
Xiao H
中科院分区：
文献类型：
--
作者：
Ming R;Wang E;Wei J;Shen J;Zong S;Xiao H
To construct a prognostic signature composed of DNA repair genes to effectively predict the prognosis of patients with head and neck squamous cell carcinoma (HNSCC). After downloading the transcriptome and clinical data of HNSCC from the Cancer Genome Atlas (TCGA), 499 patients with HNSCC were equally divided into training and testing sets. In the training set, 13 DNA repair genes were screened using univariate proportional hazard (Cox) regression analysis and least absolute shrinkage and selection operator (LASSO) Cox regression analysis to construct a risk model, which was validated in the testing set. In the training and testing sets, there were significant differences in the clinical outcomes of patients in the high- and low-risk groups showed by Kaplan-Meier survival curves (P < 0.001). Univariate and multivariate Cox regression analyses showed that the risk score had independent prognostic predictive ability (P < 0.001). At the same time, the immune cell infiltration, immune score, immune-related gene expression, and tumor mutation burden (TMB) of patients with HNSCC were also different between the high- and low-risk groups (P < 0.05). Finally, we screened several chemotherapeutics for HNSCC, which showed significant differences in drug sensitivity between the high- and low-risk groups (P < 0.05). This study constructed a 13-DNA-repair-gene signature for the prognosis of HNSCC, which could accurately and independently predict the clinical outcome of the patient. We then revealed the immune landscape, TMB, and sensitivity to chemotherapy drugs in different risk groups, which might be used to guide clinical treatment decisions.
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影响因子：
14.9
作者：
Howe KL;Achuthan P;Allen J;Allen J;Alvarez-Jarreta J;Amode MR;Armean IM;Azov AG;Bennett R;Bhai J;Billis K;Boddu S;Charkhchi M;Cummins C;Da Rin Fioretto L;Davidson C;Dodiya K;El Houdaigui B;Fatima R;Gall A;Garcia Giron C;Grego T;Guijarro-Clarke C;Haggerty L;Hemrom A;Hourlier T;Izuogu OG;Juettemann T;Kaikala V;Kay M;Lavidas I;Le T;Lemos D;Gonzalez Martinez J;Marugán JC;Maurel T;McMahon AC;Mohanan S;Moore B;Muffato M;Oheh DN;Paraschas D;Parker A;Parton A;Prosovetskaia I;Sakthivel MP;Salam AIA;Schmitt BM;Schuilenburg H;Sheppard D;Steed E;Szpak M;Szuba M;Taylor K;Thormann A;Threadgold G;Walts B;Winterbottom A;Chakiachvili M;Chaubal A;De Silva N;Flint B;Frankish A;Hunt SE;IIsley GR;Langridge N;Loveland JE;Martin FJ;Mudge JM;Morales J;Perry E;Ruffier M;Tate J;Thybert D;Trevanion SJ;Cunningham F;Yates AD;Zerbino DR;Flicek P
通讯作者：
Flicek P
影响因子：
5
作者：
Fan, CY;Liu, KL;Finkelstein, SD
通讯作者：
Finkelstein, SD
影响因子：
6.4
作者：
Costa Lima, Lucianne Maia;de Souza, Ludmilla Regina;Carvalho, Heloisa de Andrade
通讯作者：
Carvalho, Heloisa de Andrade
影响因子：
4.8
作者：
Borchiellini, D.;Etienne-Grimaldi, M. C.;Milano, G.
通讯作者：
Milano, G.
影响因子：
29.4
作者：
Feldmann, Karin;Maurer, Carlo;Reichert, Maximilian
通讯作者：
Reichert, Maximilian