Identification and validation of a novel ferroptosis-related gene model for predicting the prognosis of gastric cancer patients.
Identification and validation of a novel ferroptosis-related gene model for predicting the prognosis of gastric cancer patients.
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DOI：
10.1371/journal.pone.0254368
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发表时间：
2021
期刊：
影响因子：
3.7
通讯作者：
Jin H
中科院分区：
文献类型：
--
作者：
Liu G;Ma JY;Hu G;Jin H
铁凋亡是一种新型的调节性细胞死亡，在肿瘤发生中起着关键作用。本研究的目的是建立一个铁中毒相关基因（FRG）的签名，并评估其在胃癌（GC）的临床结果。使用来自癌症基因组图谱（TCGA）和基因表达综合数据库（GEO）的基因表达谱鉴定差异表达的FRG。进行单变量和最小绝对收缩和选择算子（LASSO）考克斯回归分析以构建预后特征。该模型使用独立的GEO数据集进行验证，并建立了整合风险评分和临床病理特征的基因组-临床病理诺模图。构建8-FRG签名以计算风险评分并根据风险评分的中值将GC患者分为两个风险组（高风险和低风险）。该特征在分层分析中显示出稳健的预测能力。高风险评分与晚期临床病理特征和不良预后相关。使用独立的GSE 84437数据集确认了特征的预测准确性。两组患者表现出不同的免疫细胞富集和免疫相关通路。最后，我们建立了一个基因组-临床病理列线图（基于风险评分、年龄和肿瘤分期）来预测GC患者的总生存期（OS）。新的FRG特征可能是一个可靠的工具，用于帮助临床医生预测GC患者的OS，并可能有助于个性化治疗。
Ferroptosis is a novel form of regulated cell death that plays a critical role in tumorigenesis. The purpose of this study was to establish a ferroptosis-associated gene (FRG) signature and assess its clinical outcome in gastric cancer (GC). Differentially expressed FRGs were identified using gene expression profiles from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. Univariate and least absolute shrinkage and selection operator (LASSO) Cox regression analyses were performed to construct a prognostic signature. The model was validated using an independent GEO dataset, and a genomic-clinicopathologic nomogram integrating risk scores and clinicopathological features was established. An 8-FRG signature was constructed to calculate the risk score and classify GC patients into two risk groups (high- and low-risk) according to the median value of the risk score. The signature showed a robust predictive capacity in the stratification analysis. A high-risk score was associated with advanced clinicopathological features and an unfavorable prognosis. The predictive accuracy of the signature was confirmed using an independent GSE84437 dataset. Patients in the two groups showed different enrichment of immune cells and immune-related pathways. Finally, we established a genomic-clinicopathologic nomogram (based on risk score, age, and tumor stage) to predict the overall survival (OS) of GC patients. The novel FRG signature may be a reliable tool for assisting clinicians in predicting the OS of GC patients and may facilitate personalized treatment.
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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
影响因子：
6.2
作者：
Bat-Erdene U;Quan E;Chan K;Lee BM;Matook W;Lee KY;Rosales JL
通讯作者：
Rosales JL
列线图预测胃癌胃切除术后肠梗阻延长
影响因子：
4.3
作者：
Liang, Wen-Quan;Zhang, Ke-Cheng;Chen, Lin
通讯作者：
Chen, Lin
DOI：
10.1093/jnci/djx030
发表时间：
2017-09-01
期刊：
Journal of the National Cancer Institute
影响因子：
--
作者：
Jemal A;Ward EM;Johnson CJ;Cronin KA;Ma J;Ryerson B;Mariotto A;Lake AJ;Wilson R;Sherman RL;Anderson RN;Henley SJ;Kohler BA;Penberthy L;Feuer EJ;Weir HK
通讯作者：
Weir HK
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