Pancreatic Cancer Early Detection and Interception in an Atypical Case of Peutz-Jeghers Syndrome

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 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.

Crit Rev Eukaryot Gene Expr

“…As per findings, out of 419, 297 patients were documented to have STK11 mutations and 23% of them developed cancer. From these studies, it was proposed that breast cancer and luminal GI cancers is most common cancer associated with it, followed by pancreatic cancer [46][47][48] . Hearle and team reported the higher risk of cancer after the age of 50.…”

Section: Associated Cancer Risk With Pjsmentioning

confidence: 99%

Role of the Serine/Threonine Kinase 11 (STK11) or Liver Kinase B1 (LKB1) Gene in Peutz-Jeghers Syndrome

Altamish

Dahiya

Singh

et al. 2020

Peutz-Jeghers syndrome (PJS) is a well-described inherited syndrome, characterized by the development of gastrointestinal polyps, and characteristic mucocutaneous freckling. PJS, an autosomal prevailing disease due to genetic mutation on chromosome 19p, manifested by restricted mucocutaneous melanosis in association with gastrointestinal (GI) polyposis. The gene for PJS has recently been shown to be a serine/threonine kinase, known as LKB1 or STK11, which maps to chromosome subband 19p13.3. This gene has a putative coding region of 1302 bp, divided into nine exons, and acts as a tumour suppressor in the hamartomatous polyps of PJS patients and in the other neoplasms which develop in PJS patients. It is probable that these neoplasms develop from hamartomas, but remains possible that the LKB1 or STK11 locus plays a role in a different genetic pathway of tumour growth in the cancers of PJS patients. This article has focused on role of LKB1 or STK11 gene expression in PJS and related cancers.