Dataset Information

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

ABSTRACT: Predicting the outcome of immunotherapy treatment in melanoma patients is challenging. Alterations in genes involved in antigen presentation and the interferon gamma (IFN) pathway play an important role in the immune response to tumors. We describe here that the overexpression of PSMB8 and PSMB9, two components of the immunoproteasome, is predictive of better survival and improved response to immune-checkpoint inhibitors of melanoma patients. We study the mechanism that underlies 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 deferentially presented after immunoproteasome overexpression. which may explain the higher immune infiltration observed in patients with high immunoproteasome expression levels. 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. Taken together, these results suggest that their expression levels can serve as important biomarkers for stratifying melanoma patients for immune-checkpoint treatment.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Melanocyte, Cell Culture

DISEASE(S): Melanoma

SUBMITTER: Shelly Kalaora

LAB HEAD: Yardena Samuels

PROVIDER: PXD015957 | Pride | 2020-02-18

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 36

Similar Datasets

Project description:Biomaterials play an increasing role in clinical applications and regenerative medicine. Modern biomaterials should imitate the function of damaged tissue without triggering an immune response, initiate self-regeneration of the body and gradually degrade after implantation. The immune system is now well recognized to play a major role in influencing the biocompatibility of implanted medical devices. To develop a better understanding of the effects of biomaterials on the immune response, we have developed a highly sensitive novel test system capable of examining changes in the immune system by biomaterial. Here, we evaluate for the first time the immunopeptidome, a highly sensitive system that reflects cancer transformation, virus or drug influences and passes these changes directly to T cells, as a test system to examine the effects of contact with materials. Since monocytes are one of the first immune cells reacting to biomaterials, we have tested the influence of different materials - stainless steel, aluminum, zinc, high-density polyethylene, polyurethane films containing zinc diethyldithiocarbamate, copper, and zinc sulphate - on the monocytic THP-1 cell line. Material-associated peptides were identified after stimulation with all material types examined. The magnitude of induced changes in the immunopeptidome after the stimulation appears comparable to that of bacterial lipopolysaccharides (LPS). The source proteins of many detected peptides are associated with cytotoxicity, fibrosis, autoimmunity, inflammation and cellular stress. Considering all tested materials, it was found that the LPS-induced cytotoxicity-, inflammation- and cellular stress-associated HLA class I peptides were mainly induced by aluminum and HLA class II peptides mainly by stainless steel. These findings provide some of the first insights into the effects on the immunopeptidome by biomaterials. A more thorough understanding of these effects may enable the design of more biocompatible implant materials using in vitro models in future. This may be achieved through developing a deeper understanding of possible immune responses induced by biomaterials such as fibrosis, inflammation, cytotoxicity, and autoimmune reactions.

			Action	DRS
	108T_EV1.raw	Raw
	108T_EV2.raw	Raw
	108T_EV3.raw	Raw
	108T_IFN1.raw	Raw
	108T_IFN2.raw	Raw

Dataset Information

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

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets