首页|Department of Oncology Reports Findings in Pancreatic Cancer (A prognostic bioma rker of disulfidptosis constructed by machine learning framework model as potent ial reporters of pancreatic adenocarcinoma)

Department of Oncology Reports Findings in Pancreatic Cancer (A prognostic bioma rker of disulfidptosis constructed by machine learning framework model as potent ial reporters of pancreatic adenocarcinoma)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Pancreatic Cancer is the subject of a report. According to news reporting out of Jiangsu, P eople’s Republic of China, by NewsRx editors, research stated, “Pancreatic adeno carcinoma (PAAD), known for its high lethality, has not been thoroughly explored in terms of its mechanisms and patterns of immune infiltration. Disulfidptosis, a newly identified mode of cell death, is likely associated with tumorigenesis and progression but remains poorly understood in PAAD at the genetic and mechani stic levels.” Our news journalists obtained a quote from the research from the Department of O ncology, “Sixteen PAAD samples from the GSE154778 scRNA-seq dataset were subject ed to single-cell analysis. Disulfidptosis grouping and scores were established across various immune cell populations. Using the TCGA-PAAD database, LASSO regr ession was employed to construct prognostic markers linked to disulfidptosis. Th e performance of this model was assessed in both training and independent valida tion cohorts. Subsequent analyses explored the correlations between disulfidptos is scores, immune infiltration, and drug sensitivity. Cellular experiments furth er confirmed the significant positive relationship of the gene MET with disulfid ptosis and its role in influencing the invasion and metastasis of PAAD. WGCNA id entified Disulf-High and Disulf-Low as modules strongly correlated with disulfid ptosis. Five prognostically significant genes were selected to construct prognos tic models. Survival analysis demonstrated that the disulfidptosis-related biolo gical model successfully achieved prognostic stratification in PAAD patients. Ad ditionally, the disulfidptosis score was significantly correlated with both immu ne infiltration and drug sensitivity. Knockdown of the MET gene substantially in hibited cell multiplication and cell cycle progression in two PAAD cell lines, e ffects potentially induced by the activation of the PI3K/AKT signalling pathway in the tumour. Key genes associated with disulfidptosis significantly correlate with immune infiltration and the development of PAAD.”

JiangsuPeople’s Republic of ChinaAsi aAdenocarcinomaBiomarkersCancerCyborgsDiagnostics and ScreeningDrugs and TherapiesEmerging TechnologiesGastroenterologyHealth and MedicineMa chine LearningOncologyPancreasPancreatic CancerPharmaceuticalsPrognost ic Markers

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Sep.17)