4.8 Article

Immunoproteasome expression is associated with better prognosis and response to checkpoint therapies in melanoma

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NATURE COMMUNICATIONS
卷 11, 期 1, 页码 -

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NATURE PUBLISHING GROUP
DOI: 10.1038/s41467-020-14639-9

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资金

  1. Intramural Research Programs of the National Cancer Institute
  2. ERC [CoG-770854]
  3. European Union's Horizon 2020 research and innovation programme [754282]
  4. H2020 European Research Council [712977]
  5. Israel Science Foundation [696/17]
  6. MRA [622106]
  7. Rising Tide Foundation
  8. Wagner-Braunsberg Family Melanoma Research Fund
  9. Jean-Jacques Brunschwig Fund for the Molecular Genetics of Cancer
  10. Comisaroff Family Trust
  11. Meyer Henri Cancer Endowment
  12. Ted and Sylvia Quint, Laboratory in the name of M.E.H. Fund
  13. Hamburger Family
  14. Knell Family
  15. NATIONAL CANCER INSTITUTE [ZIABC010763, ZIABC010984] Funding Source: NIH RePORTER
  16. European Research Council (ERC) [754282] Funding Source: European Research Council (ERC)

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Predicting the outcome of immunotherapy treatment in melanoma patients is challenging. Alterations in genes involved in antigen presentation and the interferon gamma (IFN gamma) pathway play an important role in the immune response to tumors. We describe here that the overexpression of PSMB8 and PSMB9, two major components of the immunoproteasome, is predictive of better survival and improved response to immune-checkpoint inhibitors of melanoma patients. We study the mechanism underlying this connection by analyzing the antigenic peptide repertoire of cells that overexpress these subunits using HLA peptidomics. We find a higher response of patient-matched tumor infiltrating lymphocytes against antigens diferentially presented after immunoproteasome overexpression. Importantly, we find that PSMB8 and PSMB9 expression levels are much stronger predictors of melanoma patients' immune response to checkpoint inhibitors than the tumors' mutational burden. These results suggest that PSMB8 and PSMB9 expression levels can serve as important biomarkers for stratifying melanoma patients for immune-checkpoint treatment.

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