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Record W3001714370 · doi:10.1158/0008-5472.can-19-1704

The Tumor Suppressor BAP1 Regulates the Hippo Pathway in Pancreatic Ductal Adenocarcinoma

2020· letter· en· W3001714370 on OpenAlexaff
Ho-June Lee, Trang Pham, Matthew T. Chang, Dwight F. Barnes, Allen G. Cai, Rajkumar Noubade, Klára Tótpál, Xu Chen, Christopher Tran, Thijs J. Hagenbeek, Xiumin Wu, Jeff Eastham-Anderson, Janet Tao, Wyne P. Lee, Boris C. Bastian, Michele Carbone, Joshua D. Webster, Anwesha Dey

Bibliographic record

VenueCancer Research · 2020
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrotubule and mitosis dynamics
Canadian institutionsDiscovery Centre
FundersNational Cancer Institute
KeywordsBAP1Cancer researchDeubiquitinating enzymePancreatic Intraepithelial NeoplasiaPancreatic cancerHippo signaling pathwaySuppressorBiologyAdenocarcinomaTumor suppressor geneSKP2UbiquitinCancerCarcinogenesisUbiquitin ligaseMedicinePancreatic ductal adenocarcinomaInternal medicineSignal transductionCell biologyMelanomaGeneGenetics

Abstract

fetched live from OpenAlex

Abstract The deubiquitinating enzyme BAP1 is mutated in a hereditary cancer syndrome with a high risk for mesothelioma and melanocytic tumors. Here, we show that pancreatic intraepithelial neoplasia driven by oncogenic mutant KrasG12D progressed to pancreatic adenocarcinoma in the absence of BAP1. The Hippo pathway was deregulated in BAP1-deficient pancreatic tumors, with the tumor suppressor LATS exhibiting enhanced ubiquitin-dependent proteasomal degradation. Therefore, BAP1 may limit tumor progression by stabilizing LATS and thereby promoting activity of the Hippo tumor suppressor pathway. Significance: BAP1 is mutated in a broad spectrum of tumors. Pancreatic Bap1 deficiency causes acinar atrophy but combines with oncogenic Ras to produce pancreatic tumors. BAP1-deficient tumors exhibit deregulation of the Hippo pathway. See related commentary by Brekken, p. 1624

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)0.001
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0180.010
Insufficient payload (model declined to judge)0.0020.003

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 head0.031
GPT teacher head0.304
Teacher spread0.273 · 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

Citations32
Published2020
Admission routes1
Has abstractyes

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