Identification of a cuproptosis-related lncRNA prognostic signature in lung adenocarcinoma
Chen, Ran; Luo, Haichao; Chen, Qitian; Wang, Changying.
Clin. transl. oncol. (Print)
; 25(6): 1617-1628, jun. 2023. ilus
Artículo
en Inglés
| IBECS (España) | ID: ibc-221194
Purpose Cuproptosis-related long non-coding RNA (lncRNA) diseases are associated with the occurrence and development of tumors. This study aimed to investigate whether cuproptosis-related lncRNA can predict the prognosis of patients with lung adenocarcinoma (LUAD). Methods Cuproptosis-related lncRNA prognosis (CLPS) model was successfully constructed through cox regression and lasso regression analyses. Then, the prognostic value of CLPS model was tested through the survival analysis, the ROC curve and the nomogram. Finally, the correlation of CLPS model with tumor immunity and tumor mutation burden was analyzed, and the potential susceptibility of drugs for LUAD were predicted. Results CLPS model for LUAD (AC090948.1, CRIM1-DT, AC026356.2, AC004832.5, AL161431.1) was successfully constructed, which has an independent prognostic value. Furthermore, the risk score of CLPS model was correlated with tumor immune characteristics and immune escape, which can predict the sensitivity of drugs including Cisplatin, Etoposide, Gemcitabine, and Erlotinib. Conclusions In conclusion, it was found that CLPS model was associated with tumor immunity and tumor mutation load, which also predicted four potentially sensitive drugs for LUAD patients at different risks (AU)
Biblioteca responsable:
ES1.1
Ubicación: ES15.1 - BNCS
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