Literature DB >> 36119838

The potential value of cuprotosis (copper-induced cell death) in the therapy of clear cell renal cell carcinoma.

Xiaochen Qi1, Jin Wang1, Xiangyu Che1, Quanlin Li1, Xiaowei Li1, Qifei Wang1, Guangzhen Wu1.   

Abstract

Clear cell renal cell carcinoma (ccRCC) accounts for 75% of the total incidence of renal cancer, and every year the number of morbidity and mortality increases, posing a serious threat to public health. The current main treatment methods for kidney cancer include drug-targeted therapy and immunotherapy. Although there are many treatment options for kidney cancer, they all have limitations, including drug resistance, unsatisfied long-term benefits, and adverse effects. Therefore, it is crucial to identify more effective therapeutic targets. As a newly discovered mechanism of cell death, copper-induced cell death (cuprotosis) is closely related to changes in cell metabolism, particularly in copper metabolism. Current studies have shown that the key signaling pathway of cuprotosis, the FDX1 (Ferredoxin 1)-LIAS (Lipoic Acid Synthetase) axis, plays an important role in the regulation of cellular oxidative stress, which can directly affect cell survival via inducing or promoting cancer cell death. Therefore, we speculated that this regulatory cell death mechanism might serve as a potential therapeutic target for the clinical treatment of renal cancer. To test this, we first performed a pan-cancer analysis based on cuprotosis-related genomic and transcriptomic levels to reveal the expression of cuprotosis in cancer. Next, GSVA-clustering analysis was performed with data from the Cancer Genome Atlas (TCGA) cohort, and the cohort was divided into three clusters according to the gene enrichment levels of cuprotosis marker genes. In addition, we analyzed the potential of using cuprotosis in clinical treatment from multiple perspectives, including chemotherapeutic drug susceptibility test, immune target inhibition treatment responsiveness, and histone modification. Combining the results of multi-omics analysis, we focused on the feasibility of this novel regulatory cell death mechanism in ccRCC treatment and further constructed a prognostic model. Finally, we verified our results by integrating the patient's gene expression information and radiomics information. Our study provides new insights into the development and clinical application of targeting cuprotosis pathway. AJCR
Copyright © 2022.

Entities:  

Keywords:  Cuprotosis; bioinformatics; immune checkpoint inhibitor; radiomatics; regulatory cell death; tumor mutation burden

Year:  2022        PMID: 36119838      PMCID: PMC9442008     

Source DB:  PubMed          Journal:  Am J Cancer Res        ISSN: 2156-6976            Impact factor:   5.942


  82 in total

Review 1.  Metabolic reprogramming in clear cell renal cell carcinoma.

Authors:  Hiromi I Wettersten; Omran Abu Aboud; Primo N Lara; Robert H Weiss
Journal:  Nat Rev Nephrol       Date:  2017-05-08       Impact factor: 28.314

Review 2.  Renal cell carcinoma.

Authors:  Paul Cairns
Journal:  Cancer Biomark       Date:  2010       Impact factor: 4.388

3.  Copper induces cell death by targeting lipoylated TCA cycle proteins.

Authors:  Peter Tsvetkov; Shannon Coy; Boryana Petrova; Margaret Dreishpoon; Ana Verma; Mai Abdusamad; Jordan Rossen; Lena Joesch-Cohen; Ranad Humeidi; Ryan D Spangler; John K Eaton; Evgeni Frenkel; Mustafa Kocak; Steven M Corsello; Svetlana Lutsenko; Naama Kanarek; Sandro Santagata; Todd R Golub
Journal:  Science       Date:  2022-03-17       Impact factor: 63.714

4.  Combined mutation in Vhl, Trp53 and Rb1 causes clear cell renal cell carcinoma in mice.

Authors:  Sabine Harlander; Désirée Schönenberger; Nora C Toussaint; Michael Prummer; Antonella Catalano; Laura Brandt; Holger Moch; Peter J Wild; Ian J Frew
Journal:  Nat Med       Date:  2017-05-29       Impact factor: 53.440

Review 5.  The molecular machinery of regulated cell death.

Authors:  Daolin Tang; Rui Kang; Tom Vanden Berghe; Peter Vandenabeele; Guido Kroemer
Journal:  Cell Res       Date:  2019-04-04       Impact factor: 25.617

6.  Clinical significance of programmed death-1 and programmed death-ligand 1 expression in the tumor microenvironment of clear cell renal cell carcinoma.

Authors:  Shuji Mikami; Ryuichi Mizuno; Tsunenori Kondo; Nobuo Shinohara; Norio Nonomura; Seiichiro Ozono; Masatoshi Eto; Katsunori Tatsugami; Tatsuya Takayama; Hideyasu Matsuyama; Takeshi Kishida; Mototsugu Oya
Journal:  Cancer Sci       Date:  2019-05-13       Impact factor: 6.716

7.  Computed Tomography Radiomics for Predicting Pathological Grade of Renal Cell Carcinoma.

Authors:  Xiaoping Yi; Qiao Xiao; Feiyue Zeng; Hongling Yin; Zan Li; Cheng Qian; Cikui Wang; Guangwu Lei; Qingsong Xu; Chuanquan Li; Minghao Li; Guanghui Gong; Chishing Zee; Xiao Guan; Longfei Liu; Bihong T Chen
Journal:  Front Oncol       Date:  2021-01-27       Impact factor: 6.244

8.  A CT-Based Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperatively Predicting WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma.

Authors:  Yingjie Xv; Fajin Lv; Haoming Guo; Zhaojun Liu; Di Luo; Jing Liu; Xin Gou; Weiyang He; Mingzhao Xiao; Yineng Zheng
Journal:  Front Oncol       Date:  2021-12-03       Impact factor: 6.244

Review 9.  Mechanisms of receptor tyrosine kinase activation in cancer.

Authors:  Zhenfang Du; Christine M Lovly
Journal:  Mol Cancer       Date:  2018-02-19       Impact factor: 27.401

10.  Mitochondrial copper depletion suppresses triple-negative breast cancer in mice.

Authors:  Liyang Cui; Arvin M Gouw; Edward L LaGory; Shenghao Guo; Nabeel Attarwala; Yao Tang; Ji Qi; Yun-Sheng Chen; Zhou Gao; Kerriann M Casey; Arkadiy A Bazhin; Min Chen; Leeann Hu; Jinghang Xie; Mingxi Fang; Cissy Zhang; Qihua Zhu; Zhiyuan Wang; Amato J Giaccia; Sanjiv Sam Gambhir; Weiping Zhu; Dean W Felsher; Mark D Pegram; Elena A Goun; Anne Le; Jianghong Rao
Journal:  Nat Biotechnol       Date:  2020-10-19       Impact factor: 54.908

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