A Novel Ferroptosis-Related Biomarker Signature to Predict Overall Survival of Esophageal Squamous Cell Carcinoma.
A Novel Ferroptosis-Related Biomarker Signature to Predict Overall Survival of Esophageal Squamous Cell Carcinoma.
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一种新的铁死亡相关生物标志物特征可预测食管鳞状细胞癌的总体生存率
DOI：
10.3389/fmolb.2021.675193
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发表时间：
2021
影响因子：
5
通讯作者：
Li Q
中科院分区：
文献类型：
--
作者：
Song J;Liu Y;Guan X;Zhang X;Yu W;Li Q
食管鳞状细胞癌（ESCC）是食管癌（ESCA）的主要类型，也是全球恶性程度最高且生存率较低的类型。最近发现铁死亡是一种程序性细胞死亡，多种报道表明其参与肿瘤生物学行为的调节。本工作重点基于癌症基因组图谱（TCGA）和基因表达综合（GEO）综合评估食管鳞癌患者铁死亡相关基因（FRG）表达谱与预后之间的关联。选择 ALOX12、ALOX12B、ANGPTL7、DRD4、MAPK9、SLC38A1 和 ZNF419 来为 GEO 和 TCGA 队列开发一种新的铁死亡相关基因特征。预后风险模型对具有不同生存结果的患者进行了准确分类。此外，这项研究还确定了铁死亡相关特征是独立预测食管鳞癌风险的一个因素。此后，我们还通过结合临床因素和风险评分构建了预后列线图，校准图显示了良好的预后性能。此外，还观察到风险评分与免疫检查点的关联。总的来说，我们研究中提出的铁死亡相关基因特征是有效的，并且具有预测 ESCC 预后的潜在临床应用。
Esophageal squamous cell carcinoma (ESCC) accounts for the main esophageal cancer (ESCA) type, which is also associated with the greatest malignant grade and low survival rates worldwide. Ferroptosis is recently discovered as a kind of programmed cell death, which is indicated in various reports to be involved in the regulation of tumor biological behaviors. This work focused on the comprehensive evaluation of the association between ferroptosis-related gene (FRG) expression profiles and prognosis in ESCC patients based on The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). ALOX12, ALOX12B, ANGPTL7, DRD4, MAPK9, SLC38A1, and ZNF419 were selected to develop a novel ferroptosis-related gene signature for GEO and TCGA cohorts. The prognostic risk model exactly classified patients who had diverse survival outcomes. In addition, this study identified the ferroptosis-related signature as a factor to independently predict the risk of ESCC. Thereafter, we also constructed the prognosis nomogram by incorporating clinical factors and risk score, and the calibration plots illustrated good prognostic performance. Moreover, the association of the risk score with immune checkpoints was observed. Collectively, the proposed ferroptosis-related gene signature in our study is effective and has a potential clinical application to predict the prognosis of ESCC.
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影响因子：
4.7
作者：
Gao J;Tang T;Zhang B;Li G
通讯作者：
Li G
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
影响因子：
50.3
作者：
Dolma S;Selvadurai HJ;Lan X;Lee L;Kushida M;Voisin V;Whetstone H;So M;Aviv T;Park N;Zhu X;Xu C;Head R;Rowland KJ;Bernstein M;Clarke ID;Bader G;Harrington L;Brumell JH;Tyers M;Dirks PB
通讯作者：
Dirks PB
影响因子：
3.7
作者：
Broen K;Levenga H;Vos J;van Bergen K;Fredrix H;Greupink-Draaisma A;Kester M;Falkenburg JH;de Mulder P;de Witte T;Griffioen M;Dolstra H
通讯作者：
Dolstra H
影响因子：
2.9
作者：
Liu H;Schreiber SL;Stockwell BR
通讯作者：
Stockwell BR