FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387218643> ?p ?o ?g. }

• W4387218643 abstract "The role of genes associated with the cuproptosis cell signaling pathway in prognosis and immunotherapy in ovarian cancer (OC) has been extensively investigated. In this study, we aimed to explore these mechanisms and establish a prognostic model for patients with OC using bioinformatics techniques.We obtained the single cell sequencing data of ovarian cancer from the Gene Expression Omnibus (GEO) database and preprocessed the data. We analyzed a variety of factors including cuproptosis cell signal score, transcription factors, tumorigenesis and progression signals, gene set variation analysis (GSVA) and intercellular communication. Differential gene analysis was performed between groups with high and low cuproptosis cell signal scores, as well as Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses. Using bulk RNA sequencing data from The Cancer Genome Atlas, we used the least absolute shrinkage and selection operator (LASSO)-Cox algorithm to develop cuproptosis cell signaling pathword-related gene signatures and validated them with GEO ovarian cancer datasets. In addition, we analyzed the inherent rules of the genes involved in building the model using a variety of bioinformatics methods, including immune-related analyses and single nucleotide polymorphisms. Molecular docking is used to screen potential therapeutic drugs. To confirm the analysis results, we performed various wet experiments such as western blot, cell counting kit 8 (CCK8) and clonogenesis tests to verify the role of the Von Willebrand Factor (VWF) gene in two ovarian cancer cell lines.Based on single-cell data analysis, we found that endothelial cells and fibroblasts showed active substance synthesis and signaling pathway activation in OC, which further promoted immune cell suppression, cancer cell proliferation and metastasis. Ovarian cancer has a high tendency to metastasize, and cancer cells cooperate with other cells to promote disease progression. We developed a signature consisting of eight cuproptosis-related genes (CRGs) (MAGEF1, DNPH1, RARRES1, NBL1, IFI27, VWF, OLFML3 and IGFBP4) that predicted overall survival in patients with ovarian cancer. The validity of this model is verified in an external GEO validation set. We observed active infiltrating states of immune cells in both the high- and low-risk groups, although the specific cells, genes and pathways of activation differed. Gene mutation analysis revealed that TP53 is the most frequently mutated gene in ovarian cancer. We also predict small molecule drugs associated with CRGs and identify several potential candidates. VWF was identified as an oncogene in ovarian cancer, and the protein was expressed at significantly higher levels in tumor samples than in normal samples. The high-score model of the cuproptosis cell signaling pathway was associated with the sensitivity of OC patients to immunotherapy.Our study provides greater insight into the mechanisms of action of genes associated with the cuproptosis cell signaling pathway in ovarian cancer, highlighting potential targets for future therapeutic interventions." @default.
• W4387218643 created "2023-10-01" @default.
• W4387218643 creator A5001611196 @default.
• W4387218643 creator A5008250760 @default.
• W4387218643 creator A5029314429 @default.
• W4387218643 creator A5033252398 @default.
• W4387218643 creator A5034242696 @default.
• W4387218643 creator A5049645115 @default.
• W4387218643 creator A5075851722 @default.
• W4387218643 date "2023-09-30" @default.
• W4387218643 modified "2023-10-08" @default.
• W4387218643 title "Integrative analysis of cuproptosis‐associated genes for predicting immunotherapy response in single‐cell and multi‐cohort studies" @default.
• W4387218643 cites W1809429432 @default.
• W4387218643 cites W1989748657 @default.
• W4387218643 cites W2012171863 @default.
• W4387218643 cites W2044303747 @default.
• W4387218643 cites W2074473216 @default.
• W4387218643 cites W2088899370 @default.
• W4387218643 cites W2130479394 @default.
• W4387218643 cites W2773856439 @default.
• W4387218643 cites W2773973532 @default.
• W4387218643 cites W2793408787 @default.
• W4387218643 cites W2911188335 @default.
• W4387218643 cites W2987934639 @default.
• W4387218643 cites W3000721979 @default.
• W4387218643 cites W3014863823 @default.
• W4387218643 cites W3097145107 @default.
• W4387218643 cites W3109755821 @default.
• W4387218643 cites W3128646645 @default.
• W4387218643 cites W3132175935 @default.
• W4387218643 cites W3139329315 @default.
• W4387218643 cites W3148033431 @default.
• W4387218643 cites W3184068580 @default.
• W4387218643 cites W3197504514 @default.
• W4387218643 cites W4210503300 @default.
• W4387218643 cites W4221115671 @default.
• W4387218643 cites W4224057206 @default.
• W4387218643 cites W4280497443 @default.
• W4387218643 cites W4293103941 @default.
• W4387218643 cites W4293230688 @default.
• W4387218643 cites W4296445148 @default.
• W4387218643 doi "https://doi.org/10.1002/jgm.3600" @default.
• W4387218643 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37776237" @default.
• W4387218643 hasPublicationYear "2023" @default.
• W4387218643 type Work @default.
• W4387218643 citedByCount "0" @default.
• W4387218643 crossrefType "journal-article" @default.
• W4387218643 hasAuthorship W4387218643A5001611196 @default.
• W4387218643 hasAuthorship W4387218643A5008250760 @default.
• W4387218643 hasAuthorship W4387218643A5029314429 @default.
• W4387218643 hasAuthorship W4387218643A5033252398 @default.
• W4387218643 hasAuthorship W4387218643A5034242696 @default.
• W4387218643 hasAuthorship W4387218643A5049645115 @default.
• W4387218643 hasAuthorship W4387218643A5075851722 @default.
• W4387218643 hasConcept C104317684 @default.
• W4387218643 hasConcept C121608353 @default.
• W4387218643 hasConcept C150194340 @default.
• W4387218643 hasConcept C152724338 @default.
• W4387218643 hasConcept C162317418 @default.
• W4387218643 hasConcept C2780427987 @default.
• W4387218643 hasConcept C502942594 @default.
• W4387218643 hasConcept C54355233 @default.
• W4387218643 hasConcept C555283112 @default.
• W4387218643 hasConcept C60644358 @default.
• W4387218643 hasConcept C70721500 @default.
• W4387218643 hasConcept C86803240 @default.
• W4387218643 hasConceptScore W4387218643C104317684 @default.
• W4387218643 hasConceptScore W4387218643C121608353 @default.
• W4387218643 hasConceptScore W4387218643C150194340 @default.
• W4387218643 hasConceptScore W4387218643C152724338 @default.
• W4387218643 hasConceptScore W4387218643C162317418 @default.
• W4387218643 hasConceptScore W4387218643C2780427987 @default.
• W4387218643 hasConceptScore W4387218643C502942594 @default.
• W4387218643 hasConceptScore W4387218643C54355233 @default.
• W4387218643 hasConceptScore W4387218643C555283112 @default.
• W4387218643 hasConceptScore W4387218643C60644358 @default.
• W4387218643 hasConceptScore W4387218643C70721500 @default.
• W4387218643 hasConceptScore W4387218643C86803240 @default.
• W4387218643 hasLocation W43872186431 @default.
• W4387218643 hasLocation W43872186432 @default.
• W4387218643 hasOpenAccess W4387218643 @default.
• W4387218643 hasPrimaryLocation W43872186431 @default.
• W4387218643 hasRelatedWork W2009966535 @default.
• W4387218643 hasRelatedWork W2068614944 @default.
• W4387218643 hasRelatedWork W2097331814 @default.
• W4387218643 hasRelatedWork W2748644580 @default.
• W4387218643 hasRelatedWork W2999013640 @default.
• W4387218643 hasRelatedWork W3162489004 @default.
• W4387218643 hasRelatedWork W4205963003 @default.
• W4387218643 hasRelatedWork W4308681997 @default.
• W4387218643 hasRelatedWork W4361823143 @default.
• W4387218643 hasRelatedWork W4361825482 @default.
• W4387218643 isParatext "false" @default.
• W4387218643 isRetracted "false" @default.
• W4387218643 workType "article" @default.