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Abstract A031: Discovery and characterization of a novel, immunoproteasome activator that modulates the immunopeptidome, increases MHC class I antigenic presentation and enhances antitumor immunity

2023· article· en· W4389227766 on OpenAlexaboutno aff
James J. Driscoll, Priyanka S. Rana, James J. Ignatz-Hoover

Bibliographic record

VenueCancer Immunology Research · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsnot available
Fundersnot available
KeywordsMHC class ICytotoxic T cellAntigen presentationBiologyCancer immunotherapyAntigen processingCD8AntigenImmunotherapyMajor histocompatibility complexAntigen-presenting cellT cellImmune systemCell biologyImmunologyBiochemistryIn vitro

Abstract

fetched live from OpenAlex

Abstract The transformative success of cancer immunotherapy has revolutionized cancer treatment and can induce long lasting responses in patients with cancers from a wide range of histologies. However, only a fraction of patients respond to immunotherapy and cancer cells escape immunosurveillance by downregulating antigen presentation through mechanisms that remain elusive. Proteasomes play a central role in the immune response by generating peptides from intracellular antigens which are presented on the cell surface for recognition by CD8+ cytotoxic T lymphocytes (CTLs). Immune cells contain a highly specialized variant of proteasomes, known as immunoproteasomes, in which the three constitutive catalytic subunits are replaced by cytokine-inducible, homologous catalytic subunits. Immunoproteasomes are specially adapted for a role in MHC class I antigen processing and presentation to CD8+ T-cells. Here, we performed a high-through screen (HTS) to detect novel molecular entities that activated proteasomal peptide-hydrolyzing activity. We identified a curated panel of molecules which not only enhanced proteasomal hydrolysis of the cell-permeable substrate LLVY-R110 but also enhanced the presentation of MHC class I antigens. E.G7-Ova is a mouse lymphoma cell line derived by electroporation of EL4 cells (C57BL/6, H-2b, T lymphoma) with chicken ovalbumin (OVA) cDNA. Proteasomes degrade OVA to generate the peptide SIINFEKL that is presented by MHC-class I molecules. Studies demonstrated that the hits identified in the screen increased SIINFEKL presentation on E.G7-Ova cells. The lead compound identified in the HTS, compound A, dramatically enhanced expression of the proteasome activator PA28, which is expressed by PSME1 and PSME2. Treatment of multiple myeloma (MM) cells with compound A enhanced the hydrolysis of Ac-ANW-MCA, which is selectively cleaved by the immunoproteasome beta5-associated catalytic subunits. Treatment of MM cells with compound A followed by mass spectrometry (MS) indicated that the relative presentation of individual antigenic peptides bound to MHC class I molecules on tumor cells was dramatically increased. Novel immunoproteasome-selective therapeutics have the potential to generate neoantigens and upregulate cspecific antigens on tumor cells to enhance CD8+ T-cell-mediated control of human cancers. Citation Format: James J. Driscoll, Priyanka S. Rana, James J. Ignatz-Hoover. Discovery and characterization of a novel, immunoproteasome activator that modulates the immunopeptidome, increases MHC class I antigenic presentation and enhances antitumor immunity [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor Immunology and Immunotherapy; 2023 Oct 1-4; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2023;11(12 Suppl):Abstract nr A031.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.339
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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