|
|
Abstract Abstract: Based on bioinformatics analysis, a prognosis-related prediction model was constructed to explore the relationship between copper death-related LncRNA and gastric cancer (GC) in immunity and prognosis. RNA sequencing and clinical data of gastric cancer patients were downloaded from the Cancer Genome Atlas (TCGA) database, copper death-related LncRNA were screened based on co-expression analysis, and a copper death-related LncRNA risk prediction model closely related to the prognosis of gastric cancer patients was constructed by LASSO regression and multivariate Cox regression analysis, and the risk scores of all gastric cancer patient samples were calculated. The prognostic prediction performance of the model was confirmed by Kaplan-Meier survival analysis, regression analysis and ROC curve, and the correlation between risk score and pathway enrichment analysis, immune infiltrating cells, immune checkpoint genes, somatic gene mutations and anticancer drug sensitivity was analyzed. The results of differential expression analysis showed that the expression of LncRNA HAGLR in tumor tissues was upregulated. The expression of LncRNA HAGLR in cancer tissues and paracancerous tissues in 69 patients with radical surgery was detected by quantitative real-time PCR (qRT-PCR). The qRT-PCR results showed that the expression of HAGLR in gastric cancer tissues was upregulated compared with adjacent tissues, and was significantly correlated with tumor size, the depth of invasion, clinical stage, degree of differentiation and lymph node metastasis (P<0.05). The prognostic model constructed from copper death-related LncRNA has high prognostic value and is significantly related to the heterogeneity of immune cell infiltration, and has certain clinical value in predicting the effect of immunotherapy and guiding the selection of chemotherapy drugs in patients.
Key words: cuproptosis; LncRNA; gastric cancer; immune invasion; prognosis
（Acta Laser Biology Sinica, 2023, 32(5): 460-472）
|
|
|
|
|
|
|
|
