Cuproptosis-Related Genes Comprehensive Analysis in Immune Infiltration and Prognosis of Oral Squamous Cell Carcinoma

被引:0
作者
Dai, Xiaoying [1 ]
Guo, Q. [1 ]
Liu, Chunmei [1 ]
Fan, Yimeng [1 ]
Guo, Q. [1 ]
机构
[1] Deyang Stomatol Hosp, Dept Stomatol, Deyang 618000, Sichuan, Peoples R China
关键词
Cuproptosis; oral squamous cell carcinoma; immune infiltration; prognosis; CANCER;
D O I
暂无
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
The pivotal role of cuproptosis in the beginning and progression of various cancers is evident. Yet, the influence of cuproptosis-related genes on oral squamous cell carcinoma has not been thoroughly explored. In the present study, we determine distinct oral squamous cell carcinoma classifications and formulate a new prognostic indicator for oral squamous cell carcinoma. Transcriptomic data and patient outcomes were gathered from the cancer genome atlas repository and then 12 cuproptosis-related genes were identified and analyzed. Thereafter, a least absolute shrinkage and selection operator- basedrisk score signature involving 7 cuproptosis-related genes was constructed. All patients were classified into high-and low-risk groups, followed by analyses of the immune landscape and sensitivity to different therapies in different groups. In addition, column line graphs were plotted to predict outcomes based on different clinic pathological features. Based on the identified 12 cuproptosis-related genes, 2 subtypes of cuproptosis were identified. Patients in the high-risk group had advanced clinical stages and worse overall survival. Furthermore, the immune response and function were significantly suppressed in patients of the high-risk group, which may be an important contributor to their poor prognosis. Oral squamous cell carcinoma patients were arranged into high-and low-risk subgroups based on risk scores. The results exhibited that the survival probability of patients was markedly higher in the low-risk group than in the high-risk group ( p<0.001). Following that, a precise bar line chart was devised to augment the clinical usefulness of the risk score, exhibiting strong predictive capabilities and calibration. Patients with both low and high risk displayed notable immune cell penetration and modifications in immune checkpoints. Further analysis of risk scores revealed that low-risk patients were sensitive to immunotherapy and multiple chemotherapeutic agents. In this study, we identify 2 cuproptosis subgroups and construct a new prognostic model, thus providing new insight into the prognostic assessment of oral squamous cell carcinoma subtypes and guidance for the development of more effective treatment options.
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页码:166 / 172
页数:7
相关论文
共 21 条
[1]   Metabolic Enzyme DLST Promotes Tumor Aggression and Reveals a Vulnerability to OXPHOS Inhibition in High-Risk Neuroblastoma [J].
Anderson, Nicole M. ;
Qin, Xiaodan ;
Finan, Jennifer M. ;
Lam, Andrew ;
Athoe, Jacob ;
Missiaen, Rindert ;
Skuli, Nicolas ;
Kennedy, Annie ;
Saini, Amandeep S. ;
Tao, Ting ;
Zhu, Shizhen ;
Nissim, Itzhak ;
Look, A. Thomas ;
Qing, Guoliang ;
Simon, M. Celeste ;
Feng, Hui .
CANCER RESEARCH, 2021, 81 (17) :4417-4430
[2]   Overview of oral cavity squamous cell carcinoma: Risk factors, mechanisms, and diagnostics [J].
Chamoli, Ambika ;
Gosavi, Abhishek S. ;
Shirwadkar, Urjita P. ;
Wangdale, Khushal V. ;
Behera, Santosh Kumar ;
Kurrey, Nawneet Kumar ;
Kalia, Kiran ;
Mandoli, Amit .
ORAL ONCOLOGY, 2021, 121
[3]   Predicting Renal Cancer Recurrence: Defining Limitations of Existing Prognostic Models With Prospective Trial-Based Validation [J].
Correa, Andres F. ;
Jegede, Opeyemi ;
Haas, Naomi B. ;
Flaherty, Keith T. ;
Pins, Michael R. ;
Messing, Edward M. ;
Manola, Judith ;
Wood, Christopher G. ;
Kane, Christopher J. ;
Jewett, Michael A. S. ;
Dutcher, Janice P. ;
DiPaola, Robert S. ;
Carducci, Michael A. ;
Uzzo, Robert G. .
JOURNAL OF CLINICAL ONCOLOGY, 2019, 37 (23) :2062-+
[4]   Mitochondrial copper depletion suppresses triple-negative breast cancer in mice [J].
Cui, Liyang ;
Gouw, Arvin M. ;
LaGory, Edward L. ;
Guo, Shenghao ;
Attarwala, Nabeel ;
Tang, Yao ;
Qi, Ji ;
Chen, Yun-Sheng ;
Gao, Zhou ;
Casey, Kerriann M. ;
Bazhin, Arkadiy A. ;
Chen, Min ;
Hu, Leeann ;
Xie, Jinghang ;
Fang, Mingxi ;
Zhang, Cissy ;
Zhu, Qihua ;
Wang, Zhiyuan ;
Giaccia, Amato J. ;
Gambhir, Sanjiv Sam ;
Zhu, Weiping ;
Felsher, Dean W. ;
Pegram, Mark D. ;
Goun, Elena A. ;
Le, Anne ;
Rao, Jianghong .
NATURE BIOTECHNOLOGY, 2021, 39 (03) :357-367
[5]   Copper in tumors and the use of copper-based compounds in cancer treatment [J].
da Silva, Daniela Almeida ;
De Luca, Anastasia ;
Squitti, Rosanna ;
Rongioletti, Mauro ;
Rossi, Luisa ;
Machado, Camila M. L. ;
Cerchiaro, Giselle .
JOURNAL OF INORGANIC BIOCHEMISTRY, 2022, 226
[6]   The immune contexture in human tumours: impact on clinical outcome [J].
Fridman, Wolf Herman ;
Pages, Franck ;
Sautes-Fridman, Catherine ;
Galon, Jerome .
NATURE REVIEWS CANCER, 2012, 12 (04) :298-306
[7]   Identification of cuproptosis-related subtypes and characterization of the tumor microenvironment landscape in head and neck squamous cell carcinoma [J].
Huang, Juntao ;
Xu, Ziqian ;
Yuan, Zhechen ;
Cheng, Lixin ;
Zhou, Chongchang ;
Shen, Yi .
JOURNAL OF CLINICAL LABORATORY ANALYSIS, 2022, 36 (09)
[8]   Analysis of Patient Preferences in Lung Cancer - Estimating Acceptable Tradeoffs Between Treatment Benefit and Side Effects [J].
Janssen, Ellen M. ;
Dy, Sydney M. ;
Meara, Alexa S. ;
Kneuertz, Peter J. ;
Presley, Carolyn J. ;
Bridges, John F. P. .
PATIENT PREFERENCE AND ADHERENCE, 2020, 14 :917-927
[9]   Copper-induced tumor cell death mechanisms and antitumor theragnostic applications of copper complexes [J].
Jiang, Yicheng ;
Huo, Zhiyi ;
Qi, Xiaole ;
Zuo, Tongmei ;
Wu, Zhenghong .
NANOMEDICINE, 2022, 17 (05) :303-324
[10]   A Review on Salivary Proteomics for Oral Cancer Screening [J].
Li, Qian ;
Ouyang, Xiangying ;
Chen, Jiao ;
Zhang, Ping ;
Feng, Yun .
CURRENT ISSUES IN MOLECULAR BIOLOGY, 2020, 37 :47-55