FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366424596> ?p ?o ?g. }

• W4366424596 endingPage "1837" @default.
• W4366424596 startingPage "1823" @default.
• W4366424596 abstract "In the tumor immune microenvironment, the contribution of innate and adaptive immune cells to tumor progression has been consistently demonstrated. However, reliable prognostic biomarkers for lung adenocarcinoma (LUAD) have not yet been identified. We thus developed and validated an immunologic long noncoding RNA (lncRNA) signature (ILLS) to facilitate the classification of patients with high and low risk and provide potential made-to-measure treatment choices.The LUAD data sets were obtained and processed from public databases of The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The abundance of immune infiltration and its related pathways were calculated through consensus clustering, weighted gene coexpression network analysis (WGCNA), and an integrated ImmLnc to identify immune-related lncRNAs and extract immune-related prognostic lncRNAs. Based on the integrative procedure, the best algorithm composition was least absolute shrinkage and selection operator (LASSO) and stepwise Cox regression in both directions to develop the ILLS in the TCGA-LUAD data set and validate the predictive power of 4 independent data sets, GSE31210, GSE37745, GSE30219, and GSE50081 through survival analysis, receiver operating characteristic (ROC) analysis, and multivariate Cox regression. The concordance index (C-index) analysis was transversely compared with 49 published signatures in the above 5 data sets to further confirm its stability and superiority. Finally, drug sensitivity analysis was conducted to explore potential therapeutic agents.Patients from the high-risk groups consistently had worse overall survival (OS) compared to the low-risk groups. ILLS proved to be an independent prognostic factor with favorable sensitivity and specificity. Among the 4 GEO data sets, compared to those reported in the other literature, ILLS maintained stable prediction ability and was more suitable as a consensus risk-stratification tool. However, The Cancer Immunome Atlas and IMvigor210 data sets demonstrated practical utility in recognizing target populations with effective immunotherapy, while the high-risk group exhibited potential targets for certain chemotherapy drugs, such as carmustine, etoposide, arsenic trioxide, and alectinib.ILLS demonstrated superior and stable prognostic prediction ability and thus has potential as a tool for assisting in risk classification and clinical decision-making in patients with LUAD." @default.
• W4366424596 created "2023-04-21" @default.
• W4366424596 creator A5001894356 @default.
• W4366424596 creator A5013556950 @default.
• W4366424596 creator A5015818672 @default.
• W4366424596 creator A5063406790 @default.
• W4366424596 date "2023-04-01" @default.
• W4366424596 modified "2023-10-14" @default.
• W4366424596 title "Integrative learning in developing an immunologic lncRNA signature as a consensus risk-stratification tool for lung adenocarcinoma" @default.
• W4366424596 cites W1581731557 @default.
• W4366424596 cites W1940241680 @default.
• W4366424596 cites W2028433016 @default.
• W4366424596 cites W2042797183 @default.
• W4366424596 cites W2049553585 @default.
• W4366424596 cites W2153882021 @default.
• W4366424596 cites W2180481128 @default.
• W4366424596 cites W2302719382 @default.
• W4366424596 cites W2346025119 @default.
• W4366424596 cites W2560367415 @default.
• W4366424596 cites W2582414407 @default.
• W4366424596 cites W2784371446 @default.
• W4366424596 cites W2791353386 @default.
• W4366424596 cites W2797855256 @default.
• W4366424596 cites W2799792816 @default.
• W4366424596 cites W2801309958 @default.
• W4366424596 cites W2884754721 @default.
• W4366424596 cites W2897815318 @default.
• W4366424596 cites W2901917129 @default.
• W4366424596 cites W2914311347 @default.
• W4366424596 cites W2924359886 @default.
• W4366424596 cites W2925446385 @default.
• W4366424596 cites W2951071083 @default.
• W4366424596 cites W2976105846 @default.
• W4366424596 cites W2978054257 @default.
• W4366424596 cites W2983686642 @default.
• W4366424596 cites W2991341799 @default.
• W4366424596 cites W3008008711 @default.
• W4366424596 cites W3016210953 @default.
• W4366424596 cites W3028481751 @default.
• W4366424596 cites W3088548618 @default.
• W4366424596 cites W3094069415 @default.
• W4366424596 cites W3094229377 @default.
• W4366424596 cites W3102923097 @default.
• W4366424596 cites W3119012248 @default.
• W4366424596 cites W3120414804 @default.
• W4366424596 cites W3126336096 @default.
• W4366424596 cites W3127878016 @default.
• W4366424596 cites W3134070057 @default.
• W4366424596 cites W3157213845 @default.
• W4366424596 cites W3183511385 @default.
• W4366424596 cites W3202409399 @default.
• W4366424596 cites W3205475594 @default.
• W4366424596 cites W3215921195 @default.
• W4366424596 cites W4200616585 @default.
• W4366424596 cites W4206841660 @default.
• W4366424596 cites W4211163163 @default.
• W4366424596 cites W4280522879 @default.
• W4366424596 cites W4283219748 @default.
• W4366424596 cites W4292259040 @default.
• W4366424596 cites W4292939125 @default.
• W4366424596 doi "https://doi.org/10.21037/jtd-23-372" @default.
• W4366424596 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37197549" @default.
• W4366424596 hasPublicationYear "2023" @default.
• W4366424596 type Work @default.
• W4366424596 citedByCount "0" @default.
• W4366424596 crossrefType "journal-article" @default.
• W4366424596 hasAuthorship W4366424596A5001894356 @default.
• W4366424596 hasAuthorship W4366424596A5013556950 @default.
• W4366424596 hasAuthorship W4366424596A5015818672 @default.
• W4366424596 hasAuthorship W4366424596A5063406790 @default.
• W4366424596 hasBestOaLocation W43664245961 @default.
• W4366424596 hasConcept C104317684 @default.
• W4366424596 hasConcept C119857082 @default.
• W4366424596 hasConcept C121608353 @default.
• W4366424596 hasConcept C126322002 @default.
• W4366424596 hasConcept C136764020 @default.
• W4366424596 hasConcept C143998085 @default.
• W4366424596 hasConcept C150194340 @default.
• W4366424596 hasConcept C160798450 @default.
• W4366424596 hasConcept C161584116 @default.
• W4366424596 hasConcept C203014093 @default.
• W4366424596 hasConcept C2779733811 @default.
• W4366424596 hasConcept C2781182431 @default.
• W4366424596 hasConcept C37616216 @default.
• W4366424596 hasConcept C41008148 @default.
• W4366424596 hasConcept C50382708 @default.
• W4366424596 hasConcept C55493867 @default.
• W4366424596 hasConcept C58471807 @default.
• W4366424596 hasConcept C60644358 @default.
• W4366424596 hasConcept C70721500 @default.
• W4366424596 hasConcept C71924100 @default.
• W4366424596 hasConcept C86803240 @default.
• W4366424596 hasConcept C8891405 @default.
• W4366424596 hasConceptScore W4366424596C104317684 @default.
• W4366424596 hasConceptScore W4366424596C119857082 @default.
• W4366424596 hasConceptScore W4366424596C121608353 @default.
• W4366424596 hasConceptScore W4366424596C126322002 @default.
• W4366424596 hasConceptScore W4366424596C136764020 @default.

• next