FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309685087> ?p ?o ?g. }

• W4309685087 abstract "Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) is associated with a very poor prognosis. Therefore, there has been a focus on the identification of new biomarkers for the early diagnosis of PDAC and prediction of patient survival. Genome-wide RNA and microRNA sequencing were used using bioinformatics and Machine Learning approaches to identify differentially expressed genes (DEGs) followed by validation in additional cohort of PDAC patients. Methods: genome RNA sequencing and clinical data from pancreatic cancer patients were extracted from The Cancer Genome Atlas Database (TCGA) to identify DEGs. We used Kaplan-Meier analysis of survival curves was used to assess prognostic biomarkers. Ensemble learning, Random Forest, (RF), Max Voting, Adaboost, Gradient boosting machines (GBM) and Extreme Gradient Boosting (XGB) techniques were used and Gradient boosting machines (GBM) were selected with 100 % accuracy for analysis. Moreover, protein-protein interaction (PPI), molecular pathways, concomitant expression of DEGs, and correlations between DEGs and clinical data were analyzed. We have evaluated candidate genes, miRNAs and a combination of these obtained from machine learning algorithms and survival analysis. Results: Machine learning results showed 23 genes with negative regulation, 5 genes with positive regulation, 7 microRNAs with negative regulation and 20 microRNAs with positive regulation in PDAC. Key genes BMF , FRMD4A , ADAP2 , PPP1R17 , and CACNG3 had the highest coefficient in the advanced stages of disease. In addition, the survival analysis results showed decreased expression of hsa.miR.642a , hsa.mir.363 , CD22 , BTNL9 and CTSW and overexpression of hsa.miR.153.1 , hsa.miR.539 , hsa.miR.412 reduced survival rate. CTSW was identified as a novel genetic marker and this was validated using RT-PCR. Conclusion: Machine learning algorithms may be used to Identify key dysregulated genes/miRNAs involved in pathogenesis of the diseases can be used for detection of patients in earlier stages. Our data also demonstrated the prognostic and diagnostic value of CTSW in PDAC." @default.
• W4309685087 created "2022-11-29" @default.
• W4309685087 creator A5000087225 @default.
• W4309685087 creator A5000238978 @default.
• W4309685087 creator A5006098830 @default.
• W4309685087 creator A5012388493 @default.
• W4309685087 creator A5028082658 @default.
• W4309685087 creator A5039669667 @default.
• W4309685087 creator A5041229832 @default.
• W4309685087 creator A5041892736 @default.
• W4309685087 creator A5047820024 @default.
• W4309685087 creator A5054434725 @default.
• W4309685087 creator A5058571676 @default.
• W4309685087 creator A5064057683 @default.
• W4309685087 creator A5071654609 @default.
• W4309685087 creator A5071764880 @default.
• W4309685087 creator A5084773338 @default.
• W4309685087 creator A5086792125 @default.
• W4309685087 creator A5089967609 @default.
• W4309685087 date "2022-11-22" @default.
• W4309685087 modified "2023-10-16" @default.
• W4309685087 title "Down regulation of Cathepsin W is associated with poor prognosis in Pancreatic cancer" @default.
• W4309685087 cites W1580018887 @default.
• W4309685087 cites W1848475321 @default.
• W4309685087 cites W1987313243 @default.
• W4309685087 cites W1996963134 @default.
• W4309685087 cites W2048432795 @default.
• W4309685087 cites W2071659396 @default.
• W4309685087 cites W2138155367 @default.
• W4309685087 cites W2148605338 @default.
• W4309685087 cites W2152809365 @default.
• W4309685087 cites W2415018300 @default.
• W4309685087 cites W2510889075 @default.
• W4309685087 cites W2522395837 @default.
• W4309685087 cites W2593987813 @default.
• W4309685087 cites W2740842932 @default.
• W4309685087 cites W2744879810 @default.
• W4309685087 cites W2770047761 @default.
• W4309685087 cites W2916977206 @default.
• W4309685087 cites W2970602317 @default.
• W4309685087 cites W3007991348 @default.
• W4309685087 cites W3022854879 @default.
• W4309685087 cites W3038250173 @default.
• W4309685087 cites W3048208816 @default.
• W4309685087 cites W3085119522 @default.
• W4309685087 cites W3120685134 @default.
• W4309685087 cites W3127099070 @default.
• W4309685087 cites W3141117025 @default.
• W4309685087 cites W3148513700 @default.
• W4309685087 cites W3184820957 @default.
• W4309685087 cites W3185629204 @default.
• W4309685087 cites W3196312992 @default.
• W4309685087 cites W3199249043 @default.
• W4309685087 cites W3205812819 @default.
• W4309685087 cites W4200270004 @default.
• W4309685087 cites W4210910436 @default.
• W4309685087 cites W4280618598 @default.
• W4309685087 doi "https://doi.org/10.21203/rs.3.rs-2281620/v1" @default.
• W4309685087 hasPublicationYear "2022" @default.
• W4309685087 type Work @default.
• W4309685087 citedByCount "0" @default.
• W4309685087 crossrefType "posted-content" @default.
• W4309685087 hasAuthorship W4309685087A5000087225 @default.
• W4309685087 hasAuthorship W4309685087A5000238978 @default.
• W4309685087 hasAuthorship W4309685087A5006098830 @default.
• W4309685087 hasAuthorship W4309685087A5012388493 @default.
• W4309685087 hasAuthorship W4309685087A5028082658 @default.
• W4309685087 hasAuthorship W4309685087A5039669667 @default.
• W4309685087 hasAuthorship W4309685087A5041229832 @default.
• W4309685087 hasAuthorship W4309685087A5041892736 @default.
• W4309685087 hasAuthorship W4309685087A5047820024 @default.
• W4309685087 hasAuthorship W4309685087A5054434725 @default.
• W4309685087 hasAuthorship W4309685087A5058571676 @default.
• W4309685087 hasAuthorship W4309685087A5064057683 @default.
• W4309685087 hasAuthorship W4309685087A5071654609 @default.
• W4309685087 hasAuthorship W4309685087A5071764880 @default.
• W4309685087 hasAuthorship W4309685087A5084773338 @default.
• W4309685087 hasAuthorship W4309685087A5086792125 @default.
• W4309685087 hasAuthorship W4309685087A5089967609 @default.
• W4309685087 hasBestOaLocation W43096850871 @default.
• W4309685087 hasConcept C104317684 @default.
• W4309685087 hasConcept C10515644 @default.
• W4309685087 hasConcept C121608353 @default.
• W4309685087 hasConcept C126322002 @default.
• W4309685087 hasConcept C143998085 @default.
• W4309685087 hasConcept C145059251 @default.
• W4309685087 hasConcept C2780210213 @default.
• W4309685087 hasConcept C54355233 @default.
• W4309685087 hasConcept C60644358 @default.
• W4309685087 hasConcept C70721500 @default.
• W4309685087 hasConcept C71924100 @default.
• W4309685087 hasConcept C86803240 @default.
• W4309685087 hasConceptScore W4309685087C104317684 @default.
• W4309685087 hasConceptScore W4309685087C10515644 @default.
• W4309685087 hasConceptScore W4309685087C121608353 @default.
• W4309685087 hasConceptScore W4309685087C126322002 @default.
• W4309685087 hasConceptScore W4309685087C143998085 @default.
• W4309685087 hasConceptScore W4309685087C145059251 @default.
• W4309685087 hasConceptScore W4309685087C2780210213 @default.
• W4309685087 hasConceptScore W4309685087C54355233 @default.

• next