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Record W4282917118 · doi:10.1158/1538-7445.am2022-124

Abstract 124: PRDX4 links ER-specific redox vulnerability to innate immunity in pancreatic cancer

2022· article· en· W4282917118 on OpenAlexaff
Lucie Malbeteau, Pallavi Jain, Shane M. Harding, Bradley Wouters, Marianne Koritzinsky

Bibliographic record

VenueCancer Research · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsInnate immune systemDownregulation and upregulationBiologyGene knockdownCancer researchCell biologyProgrammed cell deathTANK-binding kinase 1ImmunologyImmune systemApoptosisKinaseProtein kinase AGeneGenetics

Abstract

fetched live from OpenAlex

Abstract The prognosis of pancreatic ductal carcinoma (PDAC) remains dismal, with an overall 5-year survival rate of 7%. Immunotherapy (IT) has provided new hope for other hard-to-treat cancers, but PDAC has shown striking resistance to IT by orchestrating mechanisms of immune escape. This spurs an interest to identify novel strategies to improve PDAC sensitivity to IT. We recently unveiled that perturbating redox homeostasis by targeting the antioxidant protein peroxiredoxin 4 (PRDX4) render pancreatic cancer cells highly vulnerable. PRDX4 supports redox homeostasis by metabolizing H2O2 in the endoplasmic reticulum (ER), and its loss leads to oxidative stress and toxicity. Interestingly, cell death induced by PRDX4 depletion is accompanied by DNA damage and accumulation of cytosolic DNA, a potent primer for immune therapy. In line with that, PRDX4 knockdown results in the transcriptional upregulation of inflammatory genes, including type I interferons (IFNs), primary cytokines and interferon-stimulated genes (ISGs). Importantly, our data indicate that this induction is dependent on the critical regulator of the innate immune responses, STING, as treatment with a STING inhibitor, or a STING knockdown, substantially blunts their upregulation. It is known that following DNA damage detection, the ER-localized STING translocates to the Golgi, where it associates with the kinase TBK1 and mediates the induction of inflammatory target genes, depending on IRF3 and NF-κB transcription factors. We observe an activation of downstream STING effectors upon PRDX4 loss, and co-depletion with NFκB significantly rescues the upregulation of those genes. As such, we propose that PRDX4 links ER-specific redox vulnerability to innate immunity signaling in PDAC. Since PRDX4 loss causes increased DNA damage and inflammatory signaling, our preliminary data suggest that PRDX4 could be a novel therapeutic target that may act synergistically with immune checkpoint inhibitors. Citation Format: Lucie Malbeteau, Pallavi Jain, Shane Harding, Bradley Wouters, Marianne Koritzinsky. PRDX4 links ER-specific redox vulnerability to innate immunity in pancreatic cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 124.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.081
GPT teacher head0.395
Teacher spread0.315 · 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 source (direct Gemma or distilled Codex), 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
Published2022
Admission routes1
Has abstractyes

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