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Machine learning-based disulfidptosis-related lncRNA signature predicts prognosis, immune infiltration and drug sensitivity in hepatocellular carcinoma.
Pu, Lei; Sun, Yan; Pu, Cheng; Zhang, Xiaoyan; Wang, Dong; Liu, Xingning; Guo, Pin; Wang, Bing; Xue, Liang; Sun, Peng.
Afiliación
  • Pu L; The Key Laboratory of Adolescent Health Assessment and Exercise Intervention of the Ministry of Education, East China Normal University, 500 Dongchuan Road, Shanghai, 200241, People's Republic of China.
  • Sun Y; Department of Veterinary Medicine, Shandong Vocational Animal Science and Veterinary College, Weifang, 261071, Shandong, People's Republic of China.
  • Pu C; School of Martial Arts, Shanghai University of Sport, Shanghai, 200438, People's Republic of China.
  • Zhang X; The Key Laboratory of Adolescent Health Assessment and Exercise Intervention of the Ministry of Education, East China Normal University, 500 Dongchuan Road, Shanghai, 200241, People's Republic of China.
  • Wang D; Jiangsu Vocational Institute of Architectural Technology, Xuzhou, 221116, Jiangsu, People's Republic of China.
  • Liu X; The Key Laboratory of Adolescent Health Assessment and Exercise Intervention of the Ministry of Education, East China Normal University, 500 Dongchuan Road, Shanghai, 200241, People's Republic of China.
  • Guo P; Department of Veterinary Medicine, Shandong Vocational Animal Science and Veterinary College, Weifang, 261071, Shandong, People's Republic of China.
  • Wang B; Department of Oncological Surgery, Minhang Branch of Shanghai Cancer Center, Fudan University, Shanghai, 200240, People's Republic of China. BingWang1101@163.com.
  • Xue L; Zhejiang Institute of Sports Science, Hangzhou, 310004, Zhejiang, People's Republic of China. matuowusi@163.com.
  • Sun P; The Key Laboratory of Adolescent Health Assessment and Exercise Intervention of the Ministry of Education, East China Normal University, 500 Dongchuan Road, Shanghai, 200241, People's Republic of China. psun@tyxx.ecnu.edu.cn.
Sci Rep ; 14(1): 4354, 2024 02 22.
Article en En | MEDLINE | ID: mdl-38388539
ABSTRACT
Disulfidptosis a new cell death mode, which can cause the death of Hepatocellular Carcinoma (HCC) cells. However, the significance of disulfidptosis-related Long non-coding RNAs (DRLs) in the prognosis and immunotherapy of HCC remains unclear. Based on The Cancer Genome Atlas (TCGA) database, we used Least Absolute Shrinkage and Selection Operator (LASSO) and Cox regression model to construct DRL Prognostic Signature (DRLPS)-based risk scores and performed Gene Expression Omnibus outside validation. Survival analysis was performed and a nomogram was constructed. Moreover, we performed functional enrichment annotation, immune infiltration and drug sensitivity analyses. Five DRLs (AL590705.3, AC072054.1, AC069307.1, AC107959.3 and ZNF232-AS1) were identified to construct prognostic signature. DRLPS-based risk scores exhibited better predictive efficacy of survival than conventional clinical features. The nomogram showed high congruence between the predicted survival and observed survival. Gene set were mainly enriched in cell proliferation, differentiation and growth function related pathways. Immune cell infiltration in the low-risk group was significantly higher than that in the high-risk group. Additionally, the high-risk group exhibited higher sensitivity to Afatinib, Fulvestrant, Gefitinib, Osimertinib, Sapitinib, and Taselisib. In conclusion, our study highlighted the potential utility of the constructed DRLPS in the prognosis prediction of HCC patients, which demonstrated promising clinical application value.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carcinoma Hepatocelular / ARN Largo no Codificante / Neoplasias Hepáticas Límite: Humans Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carcinoma Hepatocelular / ARN Largo no Codificante / Neoplasias Hepáticas Límite: Humans Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido