Matches in SemOpenAlex for { <https://semopenalex.org/work/W4213391010> ?p ?o ?g. }
- W4213391010 endingPage "365" @default.
- W4213391010 startingPage "365" @default.
- W4213391010 abstract "Tumor mutational burden (TMB) is considered a potential biomarker for predicting the response and effect of immune checkpoint inhibitors (ICIs). However, there are still inconsistent standards of gene panels using next-generation sequencing and poor correlation between the TMB genes, immune cell infiltrating, and prognosis. We applied text-mining technology to construct specific TMB-associated gene panels cross various cancer types. As a case exploration, Pearson's correlation between TMB genes and immune cell infiltrating was further analyzed in colorectal cancer. We then performed LASSO Cox regression to construct a prognosis predictive model and calculated the risk score of each sample for receiver operating characteristic (ROC) analysis. The results showed that the assessment of TMB gene panels performed well with fewer than 500 genes, highly mutated genes, and the inclusion of synonymous mutations and immune regulatory and drug-target genes. Moreover, the analysis of TMB differentially expressed genes (DEGs) suggested that JAKMIP1 was strongly correlated with the gene expression level of CD8+ T cell markers in colorectal cancer. Additionally, the prognosis predictive model based on 19 TMB DEGs reached AUCs of 0.836, 0.818, and 0.787 in 1-, 3-, and 5-year OS models, respectively (C-index: 0.810). In summary, the gene panel performed well and TMB DEGs showed great potential value in immune cell infiltration and in predicting survival." @default.
- W4213391010 created "2022-02-24" @default.
- W4213391010 creator A5018863416 @default.
- W4213391010 creator A5024762264 @default.
- W4213391010 creator A5027938645 @default.
- W4213391010 creator A5037874626 @default.
- W4213391010 creator A5040755577 @default.
- W4213391010 creator A5042205353 @default.
- W4213391010 creator A5049849594 @default.
- W4213391010 date "2022-02-17" @default.
- W4213391010 modified "2023-10-18" @default.
- W4213391010 title "Multi-Level Analysis and Identification of Tumor Mutational Burden Genes across Cancer Types" @default.
- W4213391010 cites W1964670939 @default.
- W4213391010 cites W1965955251 @default.
- W4213391010 cites W1985987855 @default.
- W4213391010 cites W2028433016 @default.
- W4213391010 cites W2046505430 @default.
- W4213391010 cites W2049553585 @default.
- W4213391010 cites W2100158834 @default.
- W4213391010 cites W2104885590 @default.
- W4213391010 cites W2107429737 @default.
- W4213391010 cites W2136850043 @default.
- W4213391010 cites W2143523733 @default.
- W4213391010 cites W2175254188 @default.
- W4213391010 cites W2292067704 @default.
- W4213391010 cites W2318233342 @default.
- W4213391010 cites W2461271870 @default.
- W4213391010 cites W2520042661 @default.
- W4213391010 cites W2539418106 @default.
- W4213391010 cites W2556368738 @default.
- W4213391010 cites W2560367415 @default.
- W4213391010 cites W2582414407 @default.
- W4213391010 cites W2593993002 @default.
- W4213391010 cites W2606495925 @default.
- W4213391010 cites W2606544123 @default.
- W4213391010 cites W2612805962 @default.
- W4213391010 cites W2765224588 @default.
- W4213391010 cites W2767699537 @default.
- W4213391010 cites W2787835497 @default.
- W4213391010 cites W2788468983 @default.
- W4213391010 cites W2797855256 @default.
- W4213391010 cites W2801000225 @default.
- W4213391010 cites W2809962140 @default.
- W4213391010 cites W2890085191 @default.
- W4213391010 cites W2900082702 @default.
- W4213391010 cites W2909679049 @default.
- W4213391010 cites W2916508569 @default.
- W4213391010 cites W2920353660 @default.
- W4213391010 cites W2943688939 @default.
- W4213391010 cites W2946166987 @default.
- W4213391010 cites W2947152877 @default.
- W4213391010 cites W2949273159 @default.
- W4213391010 cites W2970290552 @default.
- W4213391010 cites W2998690381 @default.
- W4213391010 cites W3037699942 @default.
- W4213391010 cites W3056695708 @default.
- W4213391010 cites W3082462194 @default.
- W4213391010 cites W3083844715 @default.
- W4213391010 cites W3093036217 @default.
- W4213391010 cites W3106608694 @default.
- W4213391010 cites W3108814053 @default.
- W4213391010 cites W3124270691 @default.
- W4213391010 cites W3164167181 @default.
- W4213391010 cites W3196848227 @default.
- W4213391010 cites W3207949136 @default.
- W4213391010 cites W3208330125 @default.
- W4213391010 cites W4200280770 @default.
- W4213391010 cites W4200485546 @default.
- W4213391010 cites W4200501736 @default.
- W4213391010 cites W4206544786 @default.
- W4213391010 doi "https://doi.org/10.3390/genes13020365" @default.
- W4213391010 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35205408" @default.
- W4213391010 hasPublicationYear "2022" @default.
- W4213391010 type Work @default.
- W4213391010 citedByCount "2" @default.
- W4213391010 countsByYear W42133910102022 @default.
- W4213391010 crossrefType "journal-article" @default.
- W4213391010 hasAuthorship W4213391010A5018863416 @default.
- W4213391010 hasAuthorship W4213391010A5024762264 @default.
- W4213391010 hasAuthorship W4213391010A5027938645 @default.
- W4213391010 hasAuthorship W4213391010A5037874626 @default.
- W4213391010 hasAuthorship W4213391010A5040755577 @default.
- W4213391010 hasAuthorship W4213391010A5042205353 @default.
- W4213391010 hasAuthorship W4213391010A5049849594 @default.
- W4213391010 hasBestOaLocation W42133910101 @default.
- W4213391010 hasConcept C104317684 @default.
- W4213391010 hasConcept C121608353 @default.
- W4213391010 hasConcept C126322002 @default.
- W4213391010 hasConcept C136764020 @default.
- W4213391010 hasConcept C143998085 @default.
- W4213391010 hasConcept C2781197716 @default.
- W4213391010 hasConcept C37616216 @default.
- W4213391010 hasConcept C41008148 @default.
- W4213391010 hasConcept C502942594 @default.
- W4213391010 hasConcept C50382708 @default.
- W4213391010 hasConcept C526805850 @default.
- W4213391010 hasConcept C54355233 @default.
- W4213391010 hasConcept C70721500 @default.