Published online Jul 27, 2024. doi: 10.4240/wjgs.v16.i7.2281
Revised: May 22, 2024
Accepted: June 14, 2024
Published online: July 27, 2024
Processing time: 102 Days and 23.9 Hours
China's most frequent malignancy is gastric cancer (GC), which has a very poor survival rate, and the survival rate for patients with advanced GC is dismal. Pyroptosis has been connected to the genesis and development of cancer. The function of pyroptosis-related long non-coding RNAs (PRLs) in GC, on the other hand, remains uncertain.
To explore the construction and comprehensive analysis of the prognostic characteristics of long non-coding RNA (lncRNA) related to pyroptosis in GC patients.
The TCGA database provided us with 352 stomach adenocarcinoma samples, and we obtained 28 pyroptotic genes from the Reactome database. We examined the correlation between lncRNAs and pyroptosis using the Pearson correlation coefficient. Prognosis-related PRLs were identified through univariate Cox analysis. A predictive signature was constructed using stepwise Cox regression analysis, and its reliability and independence were assessed. To facilitate clinical application, a nomogram was created based on this signature. we analyzed differences in immune cell infiltration, immune function, and checkpoints between the high-risk group (HRG) and low-risk group (LRG).
Five hundred and twenty-three PRLs were screened from all lncRNAs (absolute correlation coefficient > 0.4, P < 0.05). Nine PRLs were included in the risk prediction signature that was created through stepwise Cox regression analysis. We determined the risk score for GC patients and employed the median value as the dividing line between HRG and LRG. The ability of the risk signature to predict the overall survival (OS) of GC is demonstrated by the Kaplan-Meier analysis, risk curve, receiver operating characteristic curve, and decision curve analysis curve. The risk signature was shown to be an independent prognostic factor for OS in both univariate and multivariate Cox regression analyses. HRG showed a more efficient local immune response or modulation compared to LRG, as indicated by the predicted signal pathway analysis and examination of immune cell infiltration, function, and checkpoints (P < 0.05).
In general, we have created a brand-new prognostic signature using PRLs, which may provide ideas for immunotherapy in patients with GC.
Core Tip: In this study, China's most common malignancy is gastric cancer (GC), which has a poor survival rate. Pyroptosis is connected to cancer development. The function of pyroptosis-related long non-coding RNAs (PRLs) in GC is uncertain. In our study, we took advantage of the 352 gastric adenocarcinoma samples included in the TCGA database and obtained data on 28 cases related to the pyroptotic genes from the Reactome database. We used the Pearson correlation coefficient method to screen out the long non-coding RNAs associated with pyroptosis. Using univariate Cox analysis, we identified the PRL associated with prognosis. By using PRLs, we created a completely new prognostic marker, which may provide ideas for immunotherapy in GC patients.