Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309742771> ?p ?o ?g. }
- W4309742771 endingPage "5675" @default.
- W4309742771 startingPage "5675" @default.
- W4309742771 abstract "Soft tissue sarcoma (STS) is one of the rarest but most aggressive cancer. It is important to note that intratumoral hypoxia and tumor microenvironment (TME) infiltration play a significant role in the growth and therapeutic resistance of STS. The goal of this study was therefore to determine whether linking hypoxia-related parameters to TME cells could provide a more accurate prediction of prognosis and therapeutic response. An analysis of 109 hypoxia-related genes and 64 TME cells was conducted in STS. Hypoxia-TME classifier was constructed based on 6 hypoxia prognostic genes and 8 TME cells. As a result, we evaluated the prognosis, tumor, and immune characteristics, as well as the effectiveness of therapies in Hypoxia-TME-defined subgroups. The Lowplus group showed a better prognosis and therapeutic response than any other subgroup. It is possible to unravel these differences based on immune-related molecules and somatic mutations in tumors. Further validation of Hypoxia-TME was done in an additional cohort of 225 STS patients. Additionally, we identified five key genes through differential analysis and RT-qPCR, namely, ACSM5, WNT7B, CA9, MMP13, and RAC3, which could be targeted for therapy. As a whole, the Hypoxia-TME classifier demonstrated a pretreatment predictive value for prognosis and therapeutic outcome, providing new approaches to therapy strategizing for patients." @default.
- W4309742771 created "2022-11-29" @default.
- W4309742771 creator A5005495118 @default.
- W4309742771 creator A5017062837 @default.
- W4309742771 creator A5036881021 @default.
- W4309742771 creator A5045019377 @default.
- W4309742771 creator A5054797283 @default.
- W4309742771 creator A5073206193 @default.
- W4309742771 creator A5074685425 @default.
- W4309742771 creator A5083148043 @default.
- W4309742771 date "2022-11-18" @default.
- W4309742771 modified "2023-10-14" @default.
- W4309742771 title "Integrated Analysis of TME and Hypoxia Identifies a Classifier to Predict Prognosis and Therapeutic Biomarkers in Soft Tissue Sarcomas" @default.
- W4309742771 cites W1982792443 @default.
- W4309742771 cites W1986925527 @default.
- W4309742771 cites W1994950221 @default.
- W4309742771 cites W2007284190 @default.
- W4309742771 cites W2008432341 @default.
- W4309742771 cites W2010256904 @default.
- W4309742771 cites W2018663224 @default.
- W4309742771 cites W2023554081 @default.
- W4309742771 cites W2024870249 @default.
- W4309742771 cites W2024903578 @default.
- W4309742771 cites W2042111453 @default.
- W4309742771 cites W2044422667 @default.
- W4309742771 cites W2061184351 @default.
- W4309742771 cites W2063632665 @default.
- W4309742771 cites W2077542661 @default.
- W4309742771 cites W2078006635 @default.
- W4309742771 cites W2089916504 @default.
- W4309742771 cites W2107806932 @default.
- W4309742771 cites W2127387176 @default.
- W4309742771 cites W2134053452 @default.
- W4309742771 cites W2158906752 @default.
- W4309742771 cites W2168409298 @default.
- W4309742771 cites W2170842763 @default.
- W4309742771 cites W2171128581 @default.
- W4309742771 cites W2413552560 @default.
- W4309742771 cites W2616922646 @default.
- W4309742771 cites W2753173755 @default.
- W4309742771 cites W2757381139 @default.
- W4309742771 cites W2771593474 @default.
- W4309742771 cites W2789637558 @default.
- W4309742771 cites W2791857381 @default.
- W4309742771 cites W2885715971 @default.
- W4309742771 cites W2890023109 @default.
- W4309742771 cites W2943793962 @default.
- W4309742771 cites W2945806284 @default.
- W4309742771 cites W2952001873 @default.
- W4309742771 cites W2953757801 @default.
- W4309742771 cites W2988773550 @default.
- W4309742771 cites W3004193861 @default.
- W4309742771 cites W3007545458 @default.
- W4309742771 cites W3016364844 @default.
- W4309742771 cites W3032343661 @default.
- W4309742771 cites W3035999666 @default.
- W4309742771 cites W3043393054 @default.
- W4309742771 cites W3044940053 @default.
- W4309742771 cites W3092176105 @default.
- W4309742771 cites W3113308784 @default.
- W4309742771 cites W3118689211 @default.
- W4309742771 cites W3120422386 @default.
- W4309742771 cites W3120831468 @default.
- W4309742771 cites W3125711003 @default.
- W4309742771 cites W3156840603 @default.
- W4309742771 cites W3164006366 @default.
- W4309742771 cites W3176241147 @default.
- W4309742771 cites W3187751359 @default.
- W4309742771 cites W3202746761 @default.
- W4309742771 cites W4224831023 @default.
- W4309742771 cites W4251132908 @default.
- W4309742771 doi "https://doi.org/10.3390/cancers14225675" @default.
- W4309742771 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36428766" @default.
- W4309742771 hasPublicationYear "2022" @default.
- W4309742771 type Work @default.
- W4309742771 citedByCount "0" @default.
- W4309742771 crossrefType "journal-article" @default.
- W4309742771 hasAuthorship W4309742771A5005495118 @default.
- W4309742771 hasAuthorship W4309742771A5017062837 @default.
- W4309742771 hasAuthorship W4309742771A5036881021 @default.
- W4309742771 hasAuthorship W4309742771A5045019377 @default.
- W4309742771 hasAuthorship W4309742771A5054797283 @default.
- W4309742771 hasAuthorship W4309742771A5073206193 @default.
- W4309742771 hasAuthorship W4309742771A5074685425 @default.
- W4309742771 hasAuthorship W4309742771A5083148043 @default.
- W4309742771 hasBestOaLocation W43097427711 @default.
- W4309742771 hasConcept C104317684 @default.
- W4309742771 hasConcept C126322002 @default.
- W4309742771 hasConcept C134305767 @default.
- W4309742771 hasConcept C142724271 @default.
- W4309742771 hasConcept C143998085 @default.
- W4309742771 hasConcept C178790620 @default.
- W4309742771 hasConcept C185592680 @default.
- W4309742771 hasConcept C203014093 @default.
- W4309742771 hasConcept C2776107976 @default.
- W4309742771 hasConcept C2779081379 @default.
- W4309742771 hasConcept C502942594 @default.
- W4309742771 hasConcept C509974204 @default.