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Abstract PR03: NRF2 promotes tumor maintenance by modulating mRNA translation in pancreatic cancer

2017· article· en· W2612881589 on OpenAlexaff
Iok In Christine Chio, Seyed Mehdi Jafarnejad, Mariano Ponz‐Sarvisé, Youngkyu Park, Keith Rivera, Wilhelm Palm, Daniel Öhlund, Molly Hammell, Howard C. Crawford, Edward E. Schmidt, Craig B. Thompson, Darryl Pappin, Nahum Sonenberg, David A. Tuveson

Bibliographic record

VenueCancer Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics, phytochemicals, and oxidative stress
Canadian institutionsMcGill University
Fundersnot available
KeywordsCell biologyEffectorChemistryCancer cellTranscription factorProteomePancreatic cancerCysteineBiologyCancer researchBiochemistryCancerGene

Abstract

fetched live from OpenAlex

Abstract Pancreatic Ductal Adenocarcinoma (PDA) is the 4th leading cause of cancer death in the USA. Lethality of PDA is largely ascribed to poor drug delivery and augmented cell survival pathways. We previously found that oncogenic Kras expression induced an important regulator of redox control, the transcription factor Nuclear factor erythroid-derived 2-like 2, Nfe2l2/Nrf2. Expression of Nrf2-dependent proteins is critical for neutralizing or eliminating toxicants and to maintain cellular redox homeostasis. The NRF2 transcriptional program is believed to protect neoplastic cells from oxidative stress, and may confer the resistance of these cells to chemotherapy. Thus, antagonizing NRF2 effector functions represents an attractive therapeutic strategy. Activation of Nrf2 leads to alterations in cellular redox levels, to which cysteine residues are particularly reactive. Redox modifications on reactive cysteines may regulate the activity of their corresponding protein, rendering these proteins as candidate redox-sensitive effectors of NRF2. To decipher changes in the cysteine proteome, we devised a highly sensitive proteomic method that combines a selectively cleavable cysteine-reactive affinity tag to enrich for and identify reduced cysteines, with amine-reactive isobaric tags for relative and absolute quantification of the total proteome. Using this approach, we identified cysteines on translational regulatory proteins to be explicitly oxidized in Nrf2-deficient, Kras mutant cells. Both cap-dependent and -independent mRNA translation was impaired in Nrf2-deficient pancreatic cancer cells, and can be rescued upon supplementation with antioxidants. In addition to stimulating translation through maintaining the reduced state of specific cysteine residues, redox regulation by Nrf2 also promotes EGFR autocrine signaling through AKT in KRAS mutant cells to fuel cap-dependent translation initiation. These functions converge to promote global protein synthesis in PDA. As a consequence, combined inhibition of AKT signaling and glutathione synthesis hampered the survival of PDA cells in vitro and in vivo, presenting a new opportunity for therapeutic intervention. This abstract is also being presented as Poster B31. Citation Format: Iok In Christine Chio, Seyed Mehdi Jafarnejad, Mariano Ponz-Sarvise, Youngkyu Park, Keith Rivera, Wilhelm Palm, Daniel Ohlund, Molly Hammell, Howard Crawford, Edward Schmidt, Craig Thompson, Darryl Pappin, Nahum Sonenberg, David Tuveson. NRF2 promotes tumor maintenance by modulating mRNA translation in pancreatic cancer. [abstract]. In: Proceedings of the AACR Special Conference on Translational Control of Cancer: A New Frontier in Cancer Biology and Therapy; 2016 Oct 27-30; San Francisco, CA. Philadelphia (PA): AACR; Cancer Res 2017;77(6 Suppl):Abstract nr PR03.

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 score0.002
Threshold uncertainty score0.006

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.064
GPT teacher head0.386
Teacher spread0.322 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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