FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4360600894> ?p ?o ?g. }

• W4360600894 abstract "Abstract Background The outcomes of patients with clear cell renal cell carcinoma (ccRCC) were dreadful due to lethal local recurrence and distant metastases. Accumulating evidence suggested that ccRCC was considered a metabolic disease and metabolism-associated genes (MAGs) exerted essential functions in tumor metastases. Thus, this study intends to seek whether the dysregulated metabolism promotes ccRCC metastases and explores underlying mechanisms. Method Weighted gene co-expression network analysis (WGCNA) was employed based on 2131 MAGs to select genes mostly associated with ccRCC metastases for subsequent univariate Cox regression. On this basis, least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox regression were employed to create a prognostic signature based on the cancer genome atlas kidney renal clear cell carcinoma (TCGA-KIRC) cohort. The prognostic signature was confirmed using E-MTAB-1980 and GSE22541 cohorts. Kaplan–Meier, receiver operating characteristic (ROC) curve, and univariate and multivariate Cox regression were applied to detect the predictability and independence of the signature in ccRCC patients. Functional enrichment analyses, immune cell infiltration examinations, and somatic variant investigations were employed to detect the biological roles of the signature. Result A 12-gene-metabolism-associated prognostic signature, termed the MAPS by our team, was constructed. According to the MAPS, patients were divided into low- and high-risk subgroups and high-risk patients displayed inferior outcomes. The MAPS was validated as an independent and reliable biomarker in ccRCC patients for forecasting the prognosis and progression of ccRCC patients. Functionally, the MAPS was closely associated with metabolism dysregulation, tumor metastases, and immune responses in which the high-risk tumors were in an immunosuppressive status. Besides, high-risk patients benefited more from immunotherapy and held a higher tumor mutation burden (TMB) than low-risk patients. Conclusion The 12-gene MAPS with prominent biological roles could independently and reliably forecast the outcomes of ccRCC patients, and provide clues to uncover the latent mechanism in which dysregulated metabolism controlled ccRCC metastases." @default.
• W4360600894 created "2023-03-24" @default.
• W4360600894 creator A5010392942 @default.
• W4360600894 creator A5028467654 @default.
• W4360600894 creator A5032085827 @default.
• W4360600894 creator A5047856763 @default.
• W4360600894 creator A5051813168 @default.
• W4360600894 creator A5065993189 @default.
• W4360600894 creator A5071237602 @default.
• W4360600894 creator A5076988030 @default.
• W4360600894 date "2023-03-23" @default.
• W4360600894 modified "2023-10-16" @default.
• W4360600894 title "Comprehensive analyses of A 12-metabolism-associated gene signature and its connection with tumor metastases in clear cell renal cell carcinoma" @default.
• W4360600894 cites W1548453476 @default.
• W4360600894 cites W1852876364 @default.
• W4360600894 cites W1966116114 @default.
• W4360600894 cites W1966327575 @default.
• W4360600894 cites W1980181091 @default.
• W4360600894 cites W1985987855 @default.
• W4360600894 cites W1992622929 @default.
• W4360600894 cites W2031354391 @default.
• W4360600894 cites W2035618305 @default.
• W4360600894 cites W2037785089 @default.
• W4360600894 cites W2068398383 @default.
• W4360600894 cites W2075294566 @default.
• W4360600894 cites W2097259163 @default.
• W4360600894 cites W2097360283 @default.
• W4360600894 cites W2100239923 @default.
• W4360600894 cites W2108068107 @default.
• W4360600894 cites W2108195113 @default.
• W4360600894 cites W2114104545 @default.
• W4360600894 cites W2114843025 @default.
• W4360600894 cites W2130430382 @default.
• W4360600894 cites W2150322923 @default.
• W4360600894 cites W2159482845 @default.
• W4360600894 cites W2159504331 @default.
• W4360600894 cites W2159707944 @default.
• W4360600894 cites W2230320310 @default.
• W4360600894 cites W2234115940 @default.
• W4360600894 cites W2255518001 @default.
• W4360600894 cites W2266814182 @default.
• W4360600894 cites W2470530820 @default.
• W4360600894 cites W2513409958 @default.
• W4360600894 cites W2570618306 @default.
• W4360600894 cites W2609512644 @default.
• W4360600894 cites W2612372140 @default.
• W4360600894 cites W2613084028 @default.
• W4360600894 cites W2737004789 @default.
• W4360600894 cites W2754515846 @default.
• W4360600894 cites W2767977185 @default.
• W4360600894 cites W2785559034 @default.
• W4360600894 cites W2805393256 @default.
• W4360600894 cites W2886498337 @default.
• W4360600894 cites W2888708599 @default.
• W4360600894 cites W2890365959 @default.
• W4360600894 cites W2896872272 @default.
• W4360600894 cites W2945220204 @default.
• W4360600894 cites W2946663348 @default.
• W4360600894 cites W2946778278 @default.
• W4360600894 cites W2952001873 @default.
• W4360600894 cites W2955557725 @default.
• W4360600894 cites W2956024695 @default.
• W4360600894 cites W2970028801 @default.
• W4360600894 cites W2982058960 @default.
• W4360600894 cites W3005889306 @default.
• W4360600894 cites W3008764456 @default.
• W4360600894 cites W3068607140 @default.
• W4360600894 cites W3114229072 @default.
• W4360600894 cites W3120004960 @default.
• W4360600894 cites W3121611509 @default.
• W4360600894 cites W3127080225 @default.
• W4360600894 cites W3128646645 @default.
• W4360600894 cites W3184643124 @default.
• W4360600894 cites W3199843417 @default.
• W4360600894 cites W4280497443 @default.
• W4360600894 cites W4286971292 @default.
• W4360600894 cites W4294216483 @default.
• W4360600894 cites W4294541781 @default.
• W4360600894 cites W4298140233 @default.
• W4360600894 doi "https://doi.org/10.1186/s12885-023-10740-6" @default.
• W4360600894 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36949462" @default.
• W4360600894 hasPublicationYear "2023" @default.
• W4360600894 type Work @default.
• W4360600894 citedByCount "1" @default.
• W4360600894 countsByYear W43606008942023 @default.
• W4360600894 crossrefType "journal-article" @default.
• W4360600894 hasAuthorship W4360600894A5010392942 @default.
• W4360600894 hasAuthorship W4360600894A5028467654 @default.
• W4360600894 hasAuthorship W4360600894A5032085827 @default.
• W4360600894 hasAuthorship W4360600894A5047856763 @default.
• W4360600894 hasAuthorship W4360600894A5051813168 @default.
• W4360600894 hasAuthorship W4360600894A5065993189 @default.
• W4360600894 hasAuthorship W4360600894A5071237602 @default.
• W4360600894 hasAuthorship W4360600894A5076988030 @default.
• W4360600894 hasBestOaLocation W43606008941 @default.
• W4360600894 hasConcept C104317684 @default.
• W4360600894 hasConcept C105795698 @default.
• W4360600894 hasConcept C126322002 @default.
• W4360600894 hasConcept C143998085 @default.
• W4360600894 hasConcept C150194340 @default.

• next