Matches in SemOpenAlex for { <https://semopenalex.org/work/W4365450147> ?p ?o ?g. }
- W4365450147 abstract "Hepatocellular carcinoma (HCC) is a lethal tumor. Its prognosis prediction remains a challenge. Meanwhile, cellular senescence, one of the hallmarks of cancer, and its related prognostic genes signature can provide critical information for clinical decision-making.Using bulk RNA sequencing and microarray data of HCC samples, we established a senescence score model via multi-machine learning algorithms to predict the prognosis of HCC. Single-cell and pseudo-time trajectory analyses were used to explore the hub genes of the senescence score model in HCC sample differentiation.A machine learning model based on cellular senescence gene expression profiles was identified in predicting HCC prognosis. The feasibility and accuracy of the senescence score model were confirmed in external validation and comparison with other models. Moreover, we analyzed the immune response, immune checkpoints, and sensitivity to immunotherapy drugs of HCC patients in different prognostic risk groups. Pseudo-time analyses identified four hub genes in HCC progression, including CDCA8, CENPA, SPC25, and TTK, and indicated related cellular senescence.This study identified a prognostic model of HCC by cellular senescence-related gene expression and insight into novel potential targeted therapies." @default.
- W4365450147 created "2023-04-15" @default.
- W4365450147 creator A5001280205 @default.
- W4365450147 creator A5040863807 @default.
- W4365450147 creator A5055207211 @default.
- W4365450147 creator A5068933851 @default.
- W4365450147 creator A5077519502 @default.
- W4365450147 creator A5077836229 @default.
- W4365450147 date "2023-04-13" @default.
- W4365450147 modified "2023-10-04" @default.
- W4365450147 title "Cellular senescence-related gene signature as a valuable predictor of prognosis in hepatocellular carcinoma" @default.
- W4365450147 cites W1963704214 @default.
- W4365450147 cites W1969189564 @default.
- W4365450147 cites W1971837077 @default.
- W4365450147 cites W1975177444 @default.
- W4365450147 cites W1979003707 @default.
- W4365450147 cites W1982481909 @default.
- W4365450147 cites W1984883254 @default.
- W4365450147 cites W1986092065 @default.
- W4365450147 cites W1991037989 @default.
- W4365450147 cites W1992324119 @default.
- W4365450147 cites W2008887283 @default.
- W4365450147 cites W2010124836 @default.
- W4365450147 cites W2028433016 @default.
- W4365450147 cites W2042140414 @default.
- W4365450147 cites W2042794853 @default.
- W4365450147 cites W2047119143 @default.
- W4365450147 cites W2047275206 @default.
- W4365450147 cites W2048938594 @default.
- W4365450147 cites W2050723856 @default.
- W4365450147 cites W2056106676 @default.
- W4365450147 cites W2059003504 @default.
- W4365450147 cites W2061123122 @default.
- W4365450147 cites W2067117191 @default.
- W4365450147 cites W2080769506 @default.
- W4365450147 cites W2086283062 @default.
- W4365450147 cites W2087449142 @default.
- W4365450147 cites W2087999409 @default.
- W4365450147 cites W2104397341 @default.
- W4365450147 cites W2114918924 @default.
- W4365450147 cites W2123106337 @default.
- W4365450147 cites W2145802391 @default.
- W4365450147 cites W2146325874 @default.
- W4365450147 cites W2150748567 @default.
- W4365450147 cites W2166339706 @default.
- W4365450147 cites W2166749754 @default.
- W4365450147 cites W2178555533 @default.
- W4365450147 cites W2213448039 @default.
- W4365450147 cites W2283668976 @default.
- W4365450147 cites W2301394509 @default.
- W4365450147 cites W2341369626 @default.
- W4365450147 cites W2530995434 @default.
- W4365450147 cites W2600132724 @default.
- W4365450147 cites W2748810297 @default.
- W4365450147 cites W2750328162 @default.
- W4365450147 cites W2765224588 @default.
- W4365450147 cites W2788142646 @default.
- W4365450147 cites W2804523989 @default.
- W4365450147 cites W2883204623 @default.
- W4365450147 cites W2928665623 @default.
- W4365450147 cites W2950733633 @default.
- W4365450147 cites W2952001873 @default.
- W4365450147 cites W2953822009 @default.
- W4365450147 cites W3012630958 @default.
- W4365450147 cites W3026725748 @default.
- W4365450147 cites W3097870063 @default.
- W4365450147 cites W3107344158 @default.
- W4365450147 cites W3107777878 @default.
- W4365450147 cites W3107926998 @default.
- W4365450147 cites W3108323496 @default.
- W4365450147 cites W3134083170 @default.
- W4365450147 cites W3209990349 @default.
- W4365450147 cites W3214699897 @default.
- W4365450147 cites W4205952785 @default.
- W4365450147 cites W4205971100 @default.
- W4365450147 cites W4210433744 @default.
- W4365450147 cites W4210774372 @default.
- W4365450147 cites W4211183069 @default.
- W4365450147 cites W4221091893 @default.
- W4365450147 cites W4225529913 @default.
- W4365450147 cites W4281560563 @default.
- W4365450147 cites W4281684148 @default.
- W4365450147 cites W4281913683 @default.
- W4365450147 cites W4307493936 @default.
- W4365450147 doi "https://doi.org/10.18632/aging.204658" @default.
- W4365450147 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37059592" @default.
- W4365450147 hasPublicationYear "2023" @default.
- W4365450147 type Work @default.
- W4365450147 citedByCount "1" @default.
- W4365450147 crossrefType "journal-article" @default.
- W4365450147 hasAuthorship W4365450147A5001280205 @default.
- W4365450147 hasAuthorship W4365450147A5040863807 @default.
- W4365450147 hasAuthorship W4365450147A5055207211 @default.
- W4365450147 hasAuthorship W4365450147A5068933851 @default.
- W4365450147 hasAuthorship W4365450147A5077519502 @default.
- W4365450147 hasAuthorship W4365450147A5077836229 @default.
- W4365450147 hasBestOaLocation W43654501471 @default.
- W4365450147 hasConcept C104317684 @default.
- W4365450147 hasConcept C121608353 @default.
- W4365450147 hasConcept C126322002 @default.