FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4311947669> ?p ?o ?g. }

• W4311947669 abstract "This study aimed to identified the key genes and sequencing metrics for predicting prognosis and efficacy of neoadjuvant chemotherapy (nCT) in rectal cancer (RC) based on genomic DNA sequencing in samples with different origin and multi-omics association database.We collected 16 RC patients and obtained DNA sequencing data from cancer tissues and plasma cell-free DNA before and after nCT. Various gene variations were analyzed, including single nucleotide variants (SNV), copy number variation (CNV), tumor mutation burden (TMB), copy number instability (CNI) and mutant-allele tumor heterogeneity (MATH). We also identified genes by which CNV level can differentiate the response to nCT. The Cancer Genome Atlas database and the Clinical Proteomic Tumor Analysis Consortium database were used to further evaluate the specific role of therapeutic relevant genes and screen out the key genes in multi-omics levels. After the intersection of the screened genes from differential expression analysis, survival analysis and principal components analysis dimensionality reduction cluster analysis, the key genes were finally identified.The genes CNV level of principal component genes in baseline blood and cancer tissues could significantly distinguish the two groups of patients. The CNV of HSP90AA1, EGFR, SRC, MTOR, etc. were relatively gained in the better group compared with the poor group in baseline blood. The CNI and TMB was significantly different between the two groups. The increased expression of HSP90AA1, EGFR, and SRC was associated with increased sensitivity to multiple chemotherapeutic drugs. The nCT predictive score obtained by therapeutic relevant genes could be a potential prognostic indicator, and the combination with TMB could further refine prognostic prediction for patients. After a series of analysis in multi-omics association database, EGFR and HSP90AA1 with significant differences in multiple aspects were identified as the key predictive genes related to prognosis and the sensitivity of nCT.This work revealed that effective combined application and analysis in multi-omics data are critical to search for predictive biomarkers. The key genes EGFR and HSP90AA1 could serve as an effective biomarker to predict prognose and neoadjuvant chemosensitivity." @default.
• W4311947669 created "2023-01-03" @default.
• W4311947669 creator A5033577145 @default.
• W4311947669 creator A5043638450 @default.
• W4311947669 creator A5045680594 @default.
• W4311947669 creator A5053325467 @default.
• W4311947669 creator A5054684509 @default.
• W4311947669 creator A5058380236 @default.
• W4311947669 creator A5063298132 @default.
• W4311947669 creator A5066847312 @default.
• W4311947669 creator A5090438782 @default.
• W4311947669 date "2022-12-09" @default.
• W4311947669 modified "2023-10-05" @default.
• W4311947669 title "Exploring biomarkers for prognosis and neoadjuvant chemosensitivity in rectal cancer: Multi-omics and ctDNA sequencing collaboration" @default.
• W4311947669 cites W1545483273 @default.
• W4311947669 cites W1880063947 @default.
• W4311947669 cites W1941704159 @default.
• W4311947669 cites W1943718967 @default.
• W4311947669 cites W1963853602 @default.
• W4311947669 cites W1968145208 @default.
• W4311947669 cites W1968442199 @default.
• W4311947669 cites W1976078521 @default.
• W4311947669 cites W1984068087 @default.
• W4311947669 cites W1999768672 @default.
• W4311947669 cites W2012034410 @default.
• W4311947669 cites W2020099456 @default.
• W4311947669 cites W2022466005 @default.
• W4311947669 cites W2032116260 @default.
• W4311947669 cites W2043331277 @default.
• W4311947669 cites W2045829974 @default.
• W4311947669 cites W2075805802 @default.
• W4311947669 cites W2108234281 @default.
• W4311947669 cites W2110014529 @default.
• W4311947669 cites W2114963275 @default.
• W4311947669 cites W2118983280 @default.
• W4311947669 cites W2123377696 @default.
• W4311947669 cites W2139586102 @default.
• W4311947669 cites W2142818315 @default.
• W4311947669 cites W2149953930 @default.
• W4311947669 cites W2154092848 @default.
• W4311947669 cites W2155943701 @default.
• W4311947669 cites W2156345809 @default.
• W4311947669 cites W2159707944 @default.
• W4311947669 cites W2162871445 @default.
• W4311947669 cites W2162927194 @default.
• W4311947669 cites W2221774111 @default.
• W4311947669 cites W2337209831 @default.
• W4311947669 cites W2406250479 @default.
• W4311947669 cites W2431692338 @default.
• W4311947669 cites W2519366660 @default.
• W4311947669 cites W2557981253 @default.
• W4311947669 cites W2589507683 @default.
• W4311947669 cites W2593170853 @default.
• W4311947669 cites W2598988196 @default.
• W4311947669 cites W2606495925 @default.
• W4311947669 cites W2693925639 @default.
• W4311947669 cites W2732477538 @default.
• W4311947669 cites W2741309469 @default.
• W4311947669 cites W2745112655 @default.
• W4311947669 cites W2762853387 @default.
• W4311947669 cites W2783667606 @default.
• W4311947669 cites W2783830437 @default.
• W4311947669 cites W2793017953 @default.
• W4311947669 cites W2796295138 @default.
• W4311947669 cites W2891405227 @default.
• W4311947669 cites W2912042342 @default.
• W4311947669 cites W2920167151 @default.
• W4311947669 cites W2969086321 @default.
• W4311947669 cites W2972396522 @default.
• W4311947669 cites W2973139180 @default.
• W4311947669 cites W2973214147 @default.
• W4311947669 cites W2976277306 @default.
• W4311947669 cites W2981738178 @default.
• W4311947669 cites W3008394279 @default.
• W4311947669 cites W3010387843 @default.
• W4311947669 cites W3029661147 @default.
• W4311947669 cites W3035686614 @default.
• W4311947669 cites W3044049599 @default.
• W4311947669 cites W3089562193 @default.
• W4311947669 cites W3095155717 @default.
• W4311947669 cites W3096997366 @default.
• W4311947669 cites W3186760507 @default.
• W4311947669 cites W3205716412 @default.
• W4311947669 cites W4206841660 @default.
• W4311947669 cites W4225379371 @default.
• W4311947669 cites W4226315457 @default.
• W4311947669 cites W4280528269 @default.
• W4311947669 cites W630675343 @default.
• W4311947669 doi "https://doi.org/10.3389/fimmu.2022.1013828" @default.
• W4311947669 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36569844" @default.
• W4311947669 hasPublicationYear "2022" @default.
• W4311947669 type Work @default.
• W4311947669 citedByCount "1" @default.
• W4311947669 countsByYear W43119476692023 @default.
• W4311947669 crossrefType "journal-article" @default.
• W4311947669 hasAuthorship W4311947669A5033577145 @default.
• W4311947669 hasAuthorship W4311947669A5043638450 @default.
• W4311947669 hasAuthorship W4311947669A5045680594 @default.
• W4311947669 hasAuthorship W4311947669A5053325467 @default.
• W4311947669 hasAuthorship W4311947669A5054684509 @default.

• next