Frontiers in Endocrinology | |
Immune Infiltration of CD8+ T Cells in Patients With Diabetic Pancreatic Cancer Reduces the Malignancy of Cancer Tissues: An In Silico Study | |
Endocrinology | |
Jiaying Hou1  Xuelu Yuan2  Yinqi Lv3  Yidi Zhang3  Jun Zhang3  Delin Liu3  Jiantong Bao3  Ling Li4  Dechen Liu4  Zheng Ye5  | |
[1] Department of Endocrinology, Changji Branch, First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China;Department of Endocrinology, Yixing Second People’s Hospital, Wuxi, China;Department of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China;Department of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China;Institute of Glucose and Lipid Metabolism, Southeast University, Nanjing, China;Department of Clinical Science and Research, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China;Department of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China;State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China; | |
关键词: pancreatic cancer; diabetes; tumor microenvironment; miRNA-mRNA regulation network; immune therapy; | |
DOI : 10.3389/fendo.2021.826667 | |
received in 2021-12-01, accepted in 2021-12-28, 发布年份 2022 | |
来源: Frontiers | |
【 摘 要 】
BackgroundAlthough the functional damage of the diabetic pancreas can affect the postoperative recovery of pancreatic cancer patients, there is no significant difference in the prognosis of pancreatic cancer patients with a history of diabetes and ordinary pancreatic cancer patients. There is still no practical theory to explain this phenomenon.Materials and MethodThe mRNA expression profile data of 141 cases and 51 cases with clinical data of diabetes status were obtained from the TCGA database and the GEO database, respectively. The CRA001160 data set was obtained in the TISCH database. The Seurat was used to process single-cell expression profile sequencing data. The Cibersortx was used to construct a feature matrix of single-cell sequencing data and to deconvolve Bulk-RNAseq data to obtain each pancreatic cancer patients’ tumour invasion score. TIDE was used to assess the immune escape potential of the tumour. MiRNet was used to construct the miRNA-mRNA regulatory network.ResultCompared with regular pancreatic cancer patients, the immune-related signal transduction pathways in diabetic pancreatic cancer patients are in an activated state. In patients with diabetic pancreatic cancer, the infiltration score of CD8+ T cells is high, and the infiltration score of corresponding malignant tumour cells is low. The Bayesian classifier can distinguish diabetic pancreatic cancer patients from non-diabetic pancreatic cancer patients based on 10 signature genes. The miRNA-mRNA regulatory network suggests that regulation by miRNA can influence mRNA expression and thus prognostic survival of pancreatic cancer patients.ConclusionThe activation of inflammatory-related signalling pathways in diabetic pancreatic cancer patients increases the immune infiltration of CD8+ T cells in cancer patients and reduces the development of malignant tumour tissues. The expression of 10 signature genes allowed the diagnosis of diabetic and non-diabetic pancreatic cancer patients. The miRNA-mRNA regulatory network may be the main cause of the differences in the tumour inflammatory microenvironment between the two groups of patients. These findings help us further understand the immune microenvironment of patients with diabetic pancreatic cancer.
【 授权许可】
Unknown
Copyright © 2022 Ye, Liu, Liu, Lv, Zhang, Zhang, Bao, Yuan, Hou and Li
【 预 览 】
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