A Novel Ferroptosis-Related Gene Signature to Predict Prognosis in Patients with Head and Neck Squamous Cell Carcinoma.
A Novel Ferroptosis-Related Gene Signature to Predict Prognosis in Patients with Head and Neck Squamous Cell Carcinoma.
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一种新的铁死亡相关基因特征可预测头颈鳞状细胞癌患者的预后
DOI:
10.1155/2021/5759927
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Liu ZH
中科院分区:
文献类型:
--
作者:
Xu L;Li YY;Zhang YC;Wu YX;Guo DD;Long D;Liu ZH
The clinical TNM staging system is currently used to evaluate the prognosis of head and neck squamous cell carcinoma (HNSCC). The 5-year survival rate for patients with HNSCC is less than 50%, which is attributed to the lack of reliable prognostic biomarkers. Ferroptosis-related genes (FRGs) regulate cancer initiation and progression. Therefore, we analyzed the correlation between FRGs and the clinical outcomes of patients with HNSCC. A typical prognostic model of FRGs for HNSCC was constructed using bioinformatics tools and data from public databases, including The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and GeneCards. The model was generated based on the following six FRGs: ATG5, PRDX6, OTUB1, FTH1, SOCS1, and MAP3K5. The accuracy of model prediction was analyzed systematically. The overall survival (OS) of the high-risk group was significantly lower than that of the low-risk group. The AUC for 1-year, 3-year, and 5-year survival were 0.645, 0.721, and 0.737, respectively, in the training set (TCGA cohort) and 0.726, 0.620, and 0.584, respectively, in the validation set (GSE65858). The multivariate Cox regression analysis revealed that the risk score was an independent prognostic factor for HNSCC. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses revealed that six FRGs were enriched in the ferroptosis pathway. A novel FRG prognostic signature model was established for HNSCC. The findings of this study reveal that FRGs are potential biomarkers for HNSCC.
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影响因子:
64.5
作者:
Dixon SJ;Lemberg KM;Lamprecht MR;Skouta R;Zaitsev EM;Gleason CE;Patel DN;Bauer AJ;Cantley AM;Yang WS;Morrison B 3rd;Stockwell BR
通讯作者:
Stockwell BR
DOI:
10.3390/diagnostics11020219
发表时间:
2021-02-02
期刊:
Diagnostics (Basel, Switzerland)
影响因子:
--
作者:
Luo H;Ma C
通讯作者:
Ma C
DOI:
10.1186/s13046-017-0571-8
发表时间:
2017-08-03
期刊:
Journal of experimental & clinical cancer research : CR
影响因子:
--
作者:
Aversa I;Zolea F;Ieranò C;Bulotta S;Trotta AM;Faniello MC;De Marco C;Malanga D;Biamonte F;Viglietto G;Cuda G;Scala S;Costanzo F
通讯作者:
Costanzo F
影响因子:
64.8
作者:
Jiang, Le;Kon, Ning;Li, Tongyuan;Wang, Shang-Jui;Su, Tao;Hibshoosh, Hanina;Baer, Richard;Gu, Wei
通讯作者:
Gu, Wei
影响因子:
4.4
作者:
Di Sanzo, Maddalena;Gaspari, Marco;Faniello, Maria Concetta
通讯作者:
Faniello, Maria Concetta