A new method for early detection of pancreatic cancer biomarkers: detection of microRNAs by nanochannels

et al. 2021

BMC Med Genomics

Background Pancreatic cancer is one of the most common malignant tumors of the digestive tract, and it has a poor prognosis. Traditional methods are not effective to accurately assess the prognosis of patients with pancreatic cancer. Immunotherapy is a new promising approach for the treatment of pancreatic cancer; however, some patients do not respond well to immunotherapy, which may be related to tumor microenvironment regulation. In this study, we use gene expression database to mine important immune genes and establish a prognostic prediction model for pancreatic cancer patients. We hope to provide a feasible method to evaluate the prognosis of pancreatic cancer and provide valuable targets for pancreatic cancer immunotherapy. Results We used univariate COX proportional hazard regression analysis, the least absolute shrinkage and selection operator, and multivariate COX regression analysis to screen 8 genes related to prognosis from the 314 immune-related genes, and used them to construct a new clinical prediction model in the TCGA pancreatic cancer cohort. Subsequently, we evaluated the prognostic value of the model. The Kaplan–Meier cumulative curve showed that patients with low risk scores survived significantly longer than patients with high risk scores. The area under the ROC curve (AUC value) of the risk score was 0.755. The univariate COX analysis showed that the risk score was significantly related to overall survival (HR 1.406, 95% CI 1.237–1.598, P < 0.001), and multivariate analysis showed that the risk score was an independent prognostic factor (HR 1.400, 95% CI 1.287–1.522, P < 0.001). Correlation analysis found that immune genes are closely related to tumor immune microenvironment. Conclusions Based on the TCGA-PAAD cohort, we identified immune-related markers with independent prognostic significance, validated, and analyzed their biological functions, to provide a feasible method for the prognosis of pancreatic cancer and provide potentially valuable targets for pancreatic cancer immunotherapy.

Section: Discussionmentioning

confidence: 99%

Prognostic value of eight immune gene signatures in pancreatic cancer patients

et al. 2021

BMC Med Genomics

“…The profiles of miRNAs express visible difference in tumor and normal tissues of the patients, and regulation on the expression of special miRNAs has been thought as a feasible therapeutic strategy for cancer [ 16 , 17 ]. For instance, one study has found that miR-34a was significantly overexpressed in colon cancer cell, and downregulated miR-34a could promote the metastasis for the cells and poor prognosis for the patients, which is analogical with the observation from the previous study [ 18 ].…”

Section: Discussionmentioning

confidence: 99%

Downregulated KIF3B Induced by miR-605-3p Inhibits the Progression of Colon Cancer via Inactivating Wnt/β-Catenin

Xia²,

et al. 2021

Journal of Oncology

Colon cancer is a common malignant disease with high morbidity and mortality, and miRNA dysfunction has been confirmed as an important reason for cancer development. Several studies have verified miR-605-3p as a tumor inhibitor while its roles in colon cancer remain uncertain. In this study, the specimen of the patients and the cell lines of colon cancer were used to observe the expression of miR-605-3p, and the CCK-8, Transwell assay, and flow cytometry assay were used to observe the functions of miR-605-3p in colon cancer cells. The downstream factors of miR-605-3p were predicted by TargetScan and then were verified by dual-luciferase reporter assay. Moreover, western blot was used to investigate the effect of miR-605-3p on Wnt/β-catenin signal pathway. The result showed that miR-605-3p was extremely downregulated in the pathological tissues and tumor cells, and miR-605-3p could effectively induce the apoptosis and impede the proliferation and invasion of the tumor cells. It was found that KIF3B was a target of KIF3B; decreased KIF3B could reverse the effects of miR-605-3p on colon cancer. Besides, the inactivated Wnt/β-catenin pathway was also observed in colon cells when miR-605-3p was upregulated, and the phenomenon could be rescued by KIF3B upregulation. In conclusion, miR-605-3p could inactivate the Wnt/β-catenin pathway induced via promoting KIF3B expression.

“…The 5-year survival rate of patients with pancreatic cancer is less than 8%, and the average survival rate is less than 6 months. Considering that the mortality rate has been high in the recent decades, there is an urgent need to nd effective biomarkers to promote and evaluate the diagnosis, treatment, and prognosis of pancreatic cancer [15][16][17] . The immune response in the microenvironment plays a decisive role in the progression, metastasis, and recurrence of tumors.…”

Section: Discussionmentioning

confidence: 99%

Prognostic value of eight immune gene signatures in pancreatic cancer patients

Zhang

et al. 2020

Preprint

BackgroundPancreatic cancer is one of the most common malignant tumors of the digestive tract, and it has a poor prognosis. Traditional methods are not effective to accurately assess the prognosis of patients with pancreatic cancer. Immunotherapy is a new promising approach for the treatment of pancreatic cancer; however, some patients do not respond well to immunotherapy, which may be related to tumor microenvironment regulation. In this study, we use gene expression database to mine important immune genes and establish a prognostic prediction model for pancreatic cancer patients. We hope to provide a feasible method to evaluate the prognosis of pancreatic cancer and provide valuable targets for pancreatic cancer immunotherapy.ResultsWe used univariate Cox proportional hazard regression analysis, the least absolute shrinkage and selection operator (LASSO), and multivariate COX regression analysis to screen 8 genes related to prognosis from the 314 immune-related genes, and used them to construct a new clinical prediction model in the TCGA pancreatic cancer cohort. Subsequently, we evaluated the prognostic value of the model. The Kaplan–Meier cumulative curve showed that patients with low risk scores survived significantly longer than patients with high risk scores. The area under the ROC curve (AUC value) of the risk score was 0.755.The univariate COX analysis showed that the risk score was significantly related to overall survival (OS) (HR = 1.406, 95% CI = 1.237 ~ 1.598, P <0.001), and multivariate analysis showed that the risk score was an independent prognostic factor (HR = 1.400 95% CI = 1.287 ~ 1.522, P <0.001). Correlation analysis found that immune genes are closely related to tumor immune microenvironment.ConclusionsBased on the TCGA-PAAD cohort, we identified immune-related markers with independent prognostic significance, validated, and analyzed their biological functions, to provide a feasible method for the prognosis of pancreatic cancer and provide potentially valuable targets for pancreatic cancer immunotherapy.