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Additional file 1 of Multi-omics profiling reveal cells with novel oncogenic cluster, TRAP1low/CAMSAP3low, emerge more aggressive behavior and poor-prognosis in early-stage endometrial cancer ...

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اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • بيانات النشر:
      figshare
    • الموضوع:
      2024
    • Collection:
      DataCite Metadata Store (German National Library of Science and Technology)
    • نبذة مختصرة :
      Supplementary Material 1: Fig. S1 Research flow chart. This research began by comparing proteins in early-stage endometrial cancer (EC) patients with varying outcomes using proteomics. LASSO regression was used to identify 13 key proteins. After a thorough literature review and protein function prediction and classification, we identified 5 crucial proteins involved in the p53 signaling pathway. The expression of these proteins was confirmed by single-cell transcriptome (scRNA-seq). The interactions between cellular subpopulations and the intercellular communication between the TRAP1low/CAMSAP3low cluster and the tumor microenvironment (TME) have received particular attention. Finally, the prognostic proteins were validated by immunohistochemistry (IHC) and data from the TCGA database. Based on this, a TP53-based model to predict outcomes for early-stage EC was created and optimized. This figure was created with BioRender.com ...
    • Relation:
      https://dx.doi.org/10.1016/j.ygyno.2024.02.002; https://dx.doi.org/10.1038/s41379-022-01165-w; https://dx.doi.org/10.1038/s41467-022-33982-7; https://dx.doi.org/10.1016/j.xcrm.2021.100318; https://dx.doi.org/10.1073/pnas.1220659110; https://dx.doi.org/10.1038/cr.2013.75; https://dx.doi.org/10.1186/s12943-022-01645-2; https://dx.doi.org/10.1038/s41556-024-01366-2; https://dx.doi.org/10.1016/j.lfs.2023.121655; https://dx.doi.org/10.1038/s41392-021-00677-2; https://dx.doi.org/10.1016/j.cell.2020.01.026; https://dx.doi.org/10.1016/j.canlet.2015.02.028; https://dx.doi.org/10.1186/s12967-023-04281-6
    • الرقم المعرف:
      10.6084/m9.figshare.26047002
    • Rights:
      Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcode ; cc-by-4.0
    • الرقم المعرف:
      edsbas.26360AFF