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Abstract 1730:<i>DACH1</i>gene deletion extends portraits of human prostate cancer

2019· article· en· W2953522954 on OpenAlexaff
Xuanmao Jiao, Gabriele Di Sante, Zhiping Li, Agnese Di Rocco, Min Wang, Adam Ertel, Peter A. McCue, Andrew P. South, Carlos Cordon‐Cardo, Matthew P. Stokes, Marco A. Marra, Steven J.M. Jones, Andrew V. Kossenkov, Richard G. Pestell

Bibliographic record

VenueMolecular and Cellular Biology / Genetics · 2019
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsProstate cancerPTENTrampChromoplexyCancerCancer researchMetastasisBiologyTMPRSS2PopulationGeneticsOncologyMedicineDiseasePCA3Internal medicinePI3K/AKT/mTOR pathway

Abstract

fetched live from OpenAlex

Purpose of the study: This study was conducted to define the role of Dachshund in prostate cancer, through assessing human prostate cancer samples and through genetic deletion in the mouse. Prostate cancer (PCa), the second leading cause of death in American men, is a genetically heterogeneous disease, likely representing distinct genetic drivers, with terminal events caused primarily by metastasis. Substratification of PCa into genetic subtypes, forms the basis of rational therapy for PCa. A better molecular understanding of the disease is necessary in order to develop novel targeted therapies of metastatic PCa. Known genetic drivers to tumor initiation include PTEN and NKX3.1 deletions, rearrangements of the TMPRSS2 gene to the oncogenic ETS transcription factor, ERG, and genetic predisposing factors include germline DNA-repair gene mutations. The DACH1 gene, initially cloned as an inhibitor of Elipse, the hyperactive epidermal growth factor (EGFR) in Drosophila, was found to be reduced in abundance in several malignancies including breast and prostate cancer.Results: In order to determine whether the DACH1 gene is deleted or mutated in prostate cancer we interrogated the genomic sequencing analysis of over 490 patients from 5 population cohorts. Homozygous deletion of DACH1 was identified in 18% (N=61), 11% (N=136), 10% (N=492), 7% (N=103) and 3% (N=150) of prostate cancer in 5 distinct cohorts. The prevalence of DACH1 gene deep deletions was higher in the metastasis than in the primary tumors. The Transgenic Adenocarcinoma Mouse Prostate (TRAMP) transgenic, Dach1fl/fl, and Probasin-Cre, ROSA26mT/mG transgenic mice were used to generate a prostate epithelial cell specific Dach1 gene knockout mouse (Probasin-Cre-Dach1fl/fl ROSA26mT/mG-TRAMP) lines. Prostate specific deletion of the murine Dach1 gene enhanced progression of prostatic intraepithelial neoplasia (PIN), associated with increased prostate epithelial cell proliferation, epithelial mesenchymal transition (EMT), DNA damage and inflammation.Conclusions: DACH1 gene deletion may define a distinct subclass of prostate cancer that may benefit from PARP inhibitors, and platinum-based chemotherapy.Citation Format: Xuanmao Jiao, Gabriele Di Sante, Zhiping Li, Agnese Di Rocco, Min Wang, Adam Ertel, Peter A. McCue, Andrew P. South, Carlos Cordon-Cardo, Matthew P. Stokes, Marco Marra, Steven J. Jones, Andrew Kossenkov, Richard G. Pestell. DACH1 gene deletion extends portraits of human prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1730.

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 score0.005

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)0.0020.000

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 head0.013
GPT teacher head0.300
Teacher spread0.287 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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