{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Yang M"],"funding":["National Natural Science Foundation of China","Natural Science Foundation of Gansu Province, China"],"pagination":["e10297"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7666560"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["8"],"pubmed_abstract":["<h4>Background</h4>Pancreatic cancer (PC) has much weaker prognosis, which can be divided into diabetes and non-diabetes. PC patients with diabetes mellitus will have more opportunities for physical examination due to diabetes, while pancreatic cancer patients without diabetes tend to have higher risk. Identification of prognostic markers for diabetic and non-diabetic pancreatic cancer can improve the prognosis of patients with both types of pancreatic cancer.<h4>Methods</h4>Both types of PC patients perform differently at the clinical and molecular levels. The Cancer Genome Atlas (TCGA) is employed in this study. The gene expression of the PC with diabetes and non-diabetes is used for predicting their prognosis by LASSO (Least Absolute Shrinkage and Selection Operator) Cox regression. Fur"],"journal":["PeerJ"],"pubmed_title":["Gene signature for prognosis in comparison of pancreatic cancer patients with diabetes and non-diabetes."],"pmcid":["PMC7666560"],"funding_grant_id":["1606RJZA016","81660581"],"pubmed_authors":["Bing Z","Liu J","Yu L","Song B","Yang M","Wang Y"],"additional_accession":[]},"is_claimable":false,"name":"Gene signature for prognosis in comparison of pancreatic cancer patients with diabetes and non-diabetes.","description":"<h4>Background</h4>Pancreatic cancer (PC) has much weaker prognosis, which can be divided into diabetes and non-diabetes. PC patients with diabetes mellitus will have more opportunities for physical examination due to diabetes, while pancreatic cancer patients without diabetes tend to have higher risk. Identification of prognostic markers for diabetic and non-diabetic pancreatic cancer can improve the prognosis of patients with both types of pancreatic cancer.<h4>Methods</h4>Both types of PC patients perform differently at the clinical and molecular levels. The Cancer Genome Atlas (TCGA) is employed in this study. The gene expression of the PC with diabetes and non-diabetes is used for predicting their prognosis by LASSO (Least Absolute Shrinkage and Selection Operator) Cox regression. Fur","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020","modification":"2026-04-07T17:21:32.169Z","creation":"2026-04-07T15:56:38.257Z"},"accession":"S-EPMC7666560","cross_references":{"pubmed":["33240632"],"doi":["10.7717/peerj.10297"]}}