Prognostic impact and immunotherapeutic implications of NETosis-related gene signature in gastric cancer patients
The function of NETosis and it is related molecules remains unclear in gastric cancer. The information utilized in this research was directly downloaded in the Cancer Genome Atlas (TCGA) database. All analysis and plots are finished in R software using diverse R packages. Within our study, we collected their email list of NETosis-related genes from previous publications. In line with the list and expression profile of gastric cancer patients in the TCGA database, we identified the NETosis-related genes considerably correlated with patients survival. Then, CLEC6A, BST1 and TLR7 were identified through LASSO regression and multivariate Cox regression analysis for prognosis model construction. This prognosis model demonstrated great predictive efficiency both in training and validation cohorts. We observed the high-risk patients may have a worse survival performance. Next, we explored the biological enrichment distinction between high- and occasional-risk patients and located that lots of cancer causing pathways were upregulated within the high-risk patients. Meanwhile, we investigated the genomic instability, mutation burden and immune microenvironment distinction between high- and occasional-risk patients. Furthermore, we observed that low-risk patients were more responsive to immunotherapy (85.95% versus. 56.22%). High-risk patients were more responsive to some small molecules compounds like camptothecin_1003, cisplatin_1005, cytarabine_1006, nutlin-3a (-)_1047, gemcitabine_1190, WZ4003_1614, selumetinib_1736 and mitoxantrone_1810. In conclusion, our study comprehensively explored the function of NETosis-related genes in gastric cancer, which could provide direction for relevant studies.