Construction of a cuproptosis-associated long non-coding RNA risk prediction model for pancreatic adenocarcinoma based on the TCGA database

被引:2
作者
Cui, Wenguang [1 ]
Wang, Yaling [2 ]
Guo, Jianhong [1 ]
Zhang, Zepeng [1 ]
机构
[1] Hebei North Univ, 11 South Diamond Rd, Zhangjiakou 075000, Hebei, Peoples R China
[2] Hebei North Univ, Affiliated Hosp 1, Zhangjiakou, Hebei, Peoples R China
关键词
cuproptosis; LncRNA; pancreatic adenocarcinoma; prediction model; TCGA database; CANCER CELL-PROLIFERATION; EXPRESSION; PROGNOSIS; COPPER; MICROENVIRONMENT; COMBINATION; PROGRESSION; METASTASIS; STATISTICS; THERAPIES;
D O I
10.1097/MD.0000000000032808
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Cuproptosis is a recently identified controlled process of cell death that functions in tumor development and treatment. Long non-coding RNAs (lncRNAs) are RNA molecules longer than 200 nucleotides that bind to transcription factors and regulate tumor invasion, penetration, metastasis, and prognosis. However, there are limited data on the function of cuproptosis-associated lncRNAs in pancreatic adenocarcinoma. Utilizing data retrieved from the cancer genome atlas database, we devised a risk prediction model of cuproptosis-associated lncRNAs in pancreatic adenocarcinoma, determined their prognostic significance and relationship with tumor immunity, and screened potential therapeutic drugs. Overall, 178 patients were randomized to a training or test group. We then obtained 6 characteristic cuproptosis-associated lncRNAs from the training group, based on which we constructed the risk prediction model, calculated the risk score, and verified the test group results. Subsequently, we performed differential gene analysis, tumor immunoassays, functional enrichment analysis, and potential drug screening. Finally, we found that the prediction model was highly reliable for the prognostic assessment of pancreatic adenocarcinoma patients. Generally, low risk patients had better outcomes than high risk patients. A tumor immunoassay showed that immunotherapy may benefit high risk patients more as there is a greater likelihood that the tumors could escape the immune system in low-risk patients. Through drug screening, we identified ten drugs that may have therapeutic effects on patients with pancreatic adenocarcinoma. In conclusion, this study constructed a risk prediction model of cuproptosis-associated lncRNAs, which can reliably predict the prognosis of pancreatic adenocarcinoma patients, provided a clinical reference for determining treatment approach, and provided some insights into the associations between lncRNAs and cuproptosis. This provides useful insight to aid in the development of therapeutic drugs for pancreatic adenocarcinoma.
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页数:20
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共 52 条
[1]  
[Anonymous], 2020, R LANG ENV STAT COMP
[2]   Defining the human copper proteome and analysis of its expression variation in cancers [J].
Blockhuys, S. ;
Celauro, E. ;
Hildesjo, C. ;
Feizi, A. ;
Stal, O. ;
Fierro-Gonzalez, J. C. ;
Wittung-Stafshede, P. .
METALLOMICS, 2017, 9 (02) :112-123
[3]   Epigenetic inhibition of miR-663b by long non-coding RNA HOTAIR promotes pancreatic cancer cell proliferation via up-regulation of insulin-like growth factor 2 [J].
Cai, Huihua ;
An, Yong ;
Chen, Xuemin ;
Sun, Donglin ;
Chen, Tongbing ;
Peng, Yan ;
Zhu, Feng ;
Jiang, Yong ;
He, Xiaozhou .
ONCOTARGET, 2016, 7 (52) :86857-86870
[4]   Cancer Statistics in China, 2015 [J].
Chen, Wanqing ;
Zheng, Rongshou ;
Baade, Peter D. ;
Zhang, Siwei ;
Zeng, Hongmei ;
Bray, Freddie ;
Jemal, Ahmedin ;
Yu, Xue Qin ;
He, Jie .
CA-A CANCER JOURNAL FOR CLINICIANS, 2016, 66 (02) :115-132
[5]   Comparison the sixth and seventh editions of the AJCC staging system for T1 gastric cancer: a long-term follow-up study of 2124 patients [J].
Choi, Kyung Hak ;
Kim, Byung Sik ;
Oh, Seong Tae ;
Yook, Jeong Hwan ;
Kim, Beom Su .
GASTRIC CANCER, 2017, 20 (01) :43-48
[6]   Dynamics of the immune reaction to pancreatic cancer from inception to invasion [J].
Clark, Carolyn E. ;
Hingorani, Sunil R. ;
Mick, Rosemarie ;
Combs, Chelsea ;
Tuveson, David A. ;
Vonderheide, Robert H. .
CANCER RESEARCH, 2007, 67 (19) :9518-9527
[7]   Getting out what you put in: Copper in mitochondria and its impacts on human disease [J].
Cobine, Paul A. ;
Moore, Stanley A. ;
Leary, Scot C. .
BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR CELL RESEARCH, 2021, 1868 (01)
[8]   Connecting copper and cancer: from transition metal signalling to metalloplasia [J].
Ge, Eva J. ;
Bush, Ashley I. ;
Casini, Angela ;
Cobine, Paul A. ;
Cross, Justin R. ;
DeNicola, Gina M. ;
Dou, Q. Ping ;
Franz, Katherine J. ;
Gohil, Vishal M. ;
Gupta, Sanjeev ;
Kaler, Stephen G. ;
Lutsenko, Svetlana ;
Mittal, Vivek ;
Petris, Michael J. ;
Polishchuk, Roman ;
Ralle, Martina ;
Schilsky, Michael L. ;
Tonks, Nicholas K. ;
Vahdat, Linda T. ;
Van Aelst, Linda ;
Xi, Dan ;
Yuan, Peng ;
Brady, Donita C. ;
Chang, Christopher J. .
NATURE REVIEWS CANCER, 2022, 22 (02) :102-113
[9]   pRRophetic: An R Package for Prediction of Clinical Chemotherapeutic Response from Tumor Gene Expression Levels [J].
Geeleher, Paul ;
Cox, Nancy ;
Huang, R. Stephanie .
PLOS ONE, 2014, 9 (09)
[10]   A Newly Established Cuproptosis-Associated Long Non-Coding RNA Signature for Predicting Prognosis and Indicating Immune Microenvironment Features in Soft Tissue Sarcoma [J].
Han, Jun ;
Hu, Yunxiang ;
Liu, Sanmao ;
Jiang, Jian ;
Wang, Hong .
JOURNAL OF ONCOLOGY, 2022, 2022