Metabolism-Related Signature Analysis Uncovers the Prognostic and Immunotherapeutic Characteristics of Renal Cell Carcinoma.
Metabolism-Related Signature Analysis Uncovers the Prognostic and Immunotherapeutic Characteristics of Renal Cell Carcinoma.
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代谢相关特征分析揭示肾细胞癌的预后和免疫治疗特征
DOI：
10.3389/fmolb.2022.837145
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发表时间：
2022
影响因子：
5
通讯作者：
Zhou L
中科院分区：
文献类型：
--
作者：
Zhang J;Zhang Q;Shi Y;Wang P;Gong Y;He S;Li Z;Feng N;Wang Y;Jiang P;Ci W;Li X;Zhou L
肾细胞癌（RCC）是最常见的泌尿系统癌症之一。肾细胞癌预后较差，被认为是一种代谢性疾病。据报道，许多代谢途径与肾细胞癌的发生发展相关。然而，代谢相关基因在肾细胞癌中的预后价值尚不清楚。在此，我们旨在基于代谢基因的表达谱建立一个评分系统，以评估肾细胞癌对免疫治疗的反应并预测其预后。在本研究中，我们收集了多中心肾细胞癌数据并进行整合分析，以明确肿瘤代谢在肾细胞癌中的作用，探究代谢与预后及免疫治疗之间的关系。基于转录组数据，我们利用代谢相关基因进行非负矩阵分解聚类。我们得到了肾细胞癌的三个亚类（M1、M2和M3），它们与不同的预后和免疫浸润水平相关。然后，基于113个代谢相关基因特征的通路活性，我们将患者分为三种不同的代谢相关特征。最后，我们给出了一个与肾细胞癌预后及免疫治疗反应显著相关的代谢相关通路评分（MRPScore）。综上所述，在本研究中，我们基于代谢基因表达谱建立了一个肾细胞癌分类系统，这有助于进一步理解肾细胞癌的多样性。我们还提出了MRPScore，其有望作为预测临床免疫治疗反应的一个指标。
Renal cell carcinoma (RCC) is one of the most common urological cancers. RCC has a poor prognosis and is considered a metabolic disease. It has been reported that many metabolic pathways are associated with the development of RCC. However, the prognostic value of metabolism-related genes in RCC is unclear. We herein aimed to establish a scoring system based on the gene expression profile of metabolic genes to evaluate the response to immunotherapy and predict the prognosis of RCC. In this study, we collected multicentre RCC data and performed integrated analysis to characterize the role of tumour metabolism in RCC and explore the relationship between metabolism and prognosis and immune therapy. Based on transcriptomic data, metabolism-related genes were used for nonnegative matrix factorization clustering. We obtained three subclasses of RCC (M1, M2, and M3), and they are associated with different prognoses and immune infiltrate levels. Then, based on the pathway activity of 113 metabolism-related gene signatures, we classified patients into three distinct metabolism-related signatures. Finally, we provide a metabolism-related pathway score (MRPScore) that is significantly associated with RCC prognosis and the response to immunotherapy. Taken together, in this study, we established an RCC classification system based on metabolic gene expression profiles that could further the understanding of the diversity of RCC. We also present the MRPScore, which may be used as an indicator to predict the response to clinical immune therapy.
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影响因子：
23.4
作者：
Moch, Holger;Cubilla, Antonio L.;Ulbright, Thomas M.
通讯作者：
Ulbright, Thomas M.
影响因子：
64.8
作者：
Sreekumar, Arun;Poisson, Laila M.;Rajendiran, Thekkelnaycke M.;Khan, Amjad P.;Cao, Qi;Yu, Jindan;Laxman, Bharathi;Mehra, Rohit;Lonigro, Robert J.;Li, Yong;Nyati, Mukesh K.;Ahsan, Aarif;Kalyana-Sundaram, Shanker;Han, Bo;Cao, Xuhong;Byun, Jaeman;Omenn, Gilbert S.;Ghosh, Debashis;Pennathur, Subramaniam;Alexander, Danny C.;Berger, Alvin;Shuster, Jeffrey R.;Wei, John T.;Varambally, Sooryanarayana;Beecher, Christopher;Chinnaiyan, Arul M.
通讯作者：
Chinnaiyan, Arul M.
影响因子：
10.1
作者：
McKay RR;Bossé D;Xie W;Wankowicz SAM;Flaifel A;Brandao R;Lalani AA;Martini DJ;Wei XX;Braun DA;Van Allen E;Castellano D;De Velasco G;Wells JC;Heng DY;Fay AP;Schutz FA;Hsu J;Pal SK;Lee JL;Hsieh JJ;Harshman LC;Signoretti S;Motzer RJ;Feldman D;Choueiri TK
通讯作者：
Choueiri TK
影响因子：
10.5
作者：
Jaramillo MC;Zhang DD
通讯作者：
Zhang DD
影响因子：
11.2
作者：
Ganti S;Taylor SL;Abu Aboud O;Yang J;Evans C;Osier MV;Alexander DC;Kim K;Weiss RH
通讯作者：
Weiss RH