Integrated Analysis of Ferroptosis-Related Biomarker Signatures to Improve the Diagnosis and Prognosis Prediction of Ovarian Cancer.
Integrated Analysis of Ferroptosis-Related Biomarker Signatures to Improve the Diagnosis and Prognosis Prediction of Ovarian Cancer.
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铁死亡相关生物标志物特征的综合分析可改善卵巢癌的诊断和预后预测
DOI:
10.3389/fcell.2021.807862
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发表时间:
2021
影响因子:
5.5
通讯作者:
Yi X
中科院分区:
文献类型:
--
作者:
Wang H;Cheng Q;Chang K;Bao L;Yi X
Ovarian cancer remains the most lethal gynecological malignancy. Ferroptosis, a specialized form of iron-dependent, nonapoptotic cell death, plays a crucial role in various cancers. However, the contribution of ferroptosis to ovarian cancer is poorly understood. Here, we characterized the diagnostic, prognostic, and therapeutic value of ferroptosis-related genes in ovarian cancer by analyzing transcriptomic data from The Cancer Genome Atlas and Gene Expression Omnibus databases. A reliable 10-gene ferroptosis signature (HIC1, ACSF2, MUC1, etc.) for the diagnosis of ovarian cancer was identified. Notably, we constructed and validated a novel prognostic signature including three FRGs: HIC1, LPCAT3, and DUOX1. We also further developed a risk score model based on these three genes which divided ovarian cancer patients into two risk groups. Functional analysis revealed that immune response and immune-related pathways were enriched in the high-risk group. Meanwhile, the tumor microenvironment was distinct between the two groups, with more M2 Macrophage infiltration and higher expression of key immune checkpoint molecules in the high-risk group than in the other group. Low-risk patients exhibited more favorable immunotherapy and chemotherapy responses. We conclude that crosstalk between ferroptosis and immunity may contribute to the worse prognosis of patients in the high-risk group. In particular, HIC1 showed both diagnostic and prognostic value in ovarian cancer. In vitro experiments demonstrated that inhibition of HIC1 improved drug sensitivity of chemotherapy and immunotherapy agents by inducing ferroptosis. Our findings provide new insights into the potential role of FRGs in the early detection, prognostic prediction, and individualized treatment decision-making for ovarian cancer patients.
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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:
4
作者:
Dixon SJ;Winter GE;Musavi LS;Lee ED;Snijder B;Rebsamen M;Superti-Furga G;Stockwell BR
通讯作者:
Stockwell BR
影响因子:
16.6
作者:
Block MS;Dietz AB;Gustafson MP;Kalli KR;Erskine CL;Youssef B;Vijay GV;Allred JB;Pavelko KD;Strausbauch MA;Lin Y;Grudem ME;Jatoi A;Klampe CM;Wahner-Hendrickson AE;Weroha SJ;Glaser GE;Kumar A;Langstraat CL;Solseth ML;Deeds MC;Knutson KL;Cannon MJ
通讯作者:
Cannon MJ
影响因子:
9
作者:
Gagliardi, Mara;Cotella, Diego;Corazzari, Marco
通讯作者:
Corazzari, Marco
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