Prognostic Prediction and Investigation of Underlying Immune Mechanisms in Pancreatic Adenocarcinoma Based on Immunogenic Death-Associated lncRNA Expression：Dataset and microscopic images
Description
We accessed the GeneCards database and identified 177 genes associated with ICD, with a score greater than 35. Data from TCGA , including transcriptome expression profiles, single nucleotide mutation data, clinical characteristic data, and survival information for patients diagnosed with pancreatic ductal adenocarcinoma (PAAD), were retrieved. Among the 185 samples, 181 were tumor tissues, and 4 were normal tissues. After excluding 3 samples lacking survival information, the remaining samples were randomly assigned to the training and testing sets. Based on the selected immunogenic cell death-related lncRNAs, we constructed a prognostic model for pancreatic cancer. Additionally, we verified the effect of LINC00705 on pancreatic cancer cells PANC-1 and MiaPaca-2 through in vitro cell experiments. The results showed that LINC00705 significantly enhanced the proliferation, migration, and invasion abilities of pancreatic cancer cells PANC-1 and MiaPaca-2, providing a novel biomarker for the prediction of pancreatic cancer prognosis.