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Abstract A094: LIN28B/HMGA2 axis accelerates PDA by promoting oncogenic protein synthesis

2024· article· en· W4390915393 on OpenAlexaff
Stephanie Dobersch, Sarah Cavendar, Naomi Yamamoto, Liberales Debraj Boila, Cindy L. Wladyka, Martine P. Roudier, Faiyaz Notta, Robert N. Eisenman, Andrew C. Hsieh, Sita Kugel

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHMGA2KRASBiologyCancer researchPancreatic cancerCancerCell biologyGeneticsMutationGenemicroRNA

Abstract

fetched live from OpenAlex

Abstract Pancreatic ductal adenocarcinoma (PDA) is one of the most lethal human malignancies and is projected to be the second leading cause of cancer deaths in the United States by 2030. Molecular characterization studies have described two major transcriptional subsets, called 'classical’ and ‘basal’. Basal PDAs (~25% of PDAs) have the worst overall survival and are the only class to act as an independent poor prognostic factor. The imminent entry of KRAS inhibitors into the clinic to treat PDA is poised to change this, but genetic experiments have predicted that the basal subtype of pancreatic cancer will be intrinsically resistant to these inhibitors. Therefore, there is an urgent need to understand basal PDA development and identify its unique vulnerabilities. We have discovered that the expression of the oncofetal RNA-binding protein LIN28B and its downstream target, the chromatin protein and high-mobility group (HMG) AT-hook 2 (HMGA2), are highly expressed in the basal subtype of PDA. We find LIN28B dramatically accelerates KRAS-driven PDA and acts as a potent oncogene in genetically engineered mouse models (GEMMs) of PDA. We find that HMGA2, downstream of LIN28B, controls cell growth and orchestrates the pathogenesis of basal PDA by hijacking a precise node of mRNA translation machinery. This raises the intriguing possibility that the aberrant activation of HMGA2 increases mRNA translation and may be one mechanism by which PDA attains the highly aggressive basal phenotype. Mechanistically, we observed that loss of HMGA2 results in decreased phosphorylation of S6K and EIF4B. Interestingly, this was independent of changes in MTOR activity. Loss of function studies using siRNA or inhibitors against PP2A restored pS6K and pEIF4B levels, and mRNA translation when HMGA2 was lost. It is known that reduction in pEIF4B levels leads to a reduction in mRNA translation of difficult-to-transcribe transcripts, such as the MYC oncogene. Indeed, loss of HMGA2 leads to a dramatic reduction in MYC protein levels but no changes to transcription or protein stability. Thus, our work has unveiled a new axis in LIN28B/HMGA2 high basal PDA that controls mRNA translation independent of MTOR, is reliant on PP2A, and controls cell growth through MYC translation. This work has the potential to identify innovative therapeutic strategies to combat this deadly subtype of PDA. Citation Format: Stephanie Dobersch, Sarah Cavendar, Naomi Yamamoto, Liberales Debraj Boila, Cindy Wladyka, Martine Roudier, Faiyaz Notta, Robert Eisenman, Andrew Hsieh, Sita Kugel. LIN28B/HMGA2 axis accelerates PDA by promoting oncogenic protein synthesis [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Pancreatic Cancer; 2023 Sep 27-30; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(2 Suppl):Abstract nr A094.

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 score0.005
Threshold uncertainty score0.018

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)0.0050.001

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 head0.396
Teacher spread0.332 · 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
Published2024
Admission routes1
Has abstractyes

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