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Record W2789425996 · doi:10.1093/jcag/gwy009.250

A250 HNF4A’S NEW ROLE IN DNA REPAIR COULD BE A POTENTIAL THERAPEUTIC TARGET FOR COLORECTAL CANCER TREATMENT

2018· article· en· W2789425996 on OpenAlexaff
Samuel Wilson, Jean‐Philippe Babeu, Romain Drissi, Dominique Lévesque, François Boudreau, François‐Michel Boisvert

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsDNA repairGene knockinHomologous recombinationCancer researchDNA damageBiologyMolecular biologyCell biologyDNAGeneGenetics

Abstract

fetched live from OpenAlex

Colorectal carcinomas typically feature an upregulation of the P2 isoform class of HNF4α. The expression of P2-HNF4α correlates with cell proliferation. Despite this link, the functional role that P2-HNF4α plays in the phenotype of colorectal cancer is poorly understood. Recently, we demonstrated that P2-HNF4α is involved in DNA repair by forming complexes with DNA repair proteins. Drugs specifically targeting DNA repair proteins have become promising avenues for treatment of colorectal cancer as of late. The goal of our study was to determine whether the newly demonstrated link between P2-HNF4α and DNA repair proteins could potentially be exploited for colorectal cancer treatment. The complexes of interaction of P2-HNF4α were identified by quantitative proteomics (GFP-Trap and BioID). Immunofluorescence showed HNF4α’s colocalization to foci of DNA damage (γH2AX). The efficiency of non-homologous end-joining (NHEJ) was quantified by flow cytometry using a GFP reporter system. Finally, the effect of a PARP inhibitor (olaparib) coupled to knocked down P2-HNF4α expression (shRNA) will be observed. In total, 1066 proteins were identified, by BioID or GFP-Trap, as cofactors of P2-HNF4α. Through BioID, 1007 cofactors of P2-HNF4α were identified in the 293T and HCT116 cell lines, and 59 cofactors were identified in the 293T cell line through GFP-Trap. Many common targets are known to be involved in DNA repair and also cancerous mechanisms. Some common DNA repair targets, p53, PARP1, Rad50, and DNA-PK, were then shown to interact with endogenous P2-HNF4α in HT-29 and LoVo cells. Following genotoxic stress, induced by micro-irradiation or etoposide, immunofluorescence revealed that P2-HNF4α colocalizes to DNA damage loci (γH2AX) in the nucleus of HT-29 and LoVo colorectal cancerous cell lines. Furthermore, we observed a 35% decrease in efficiency of non-homologous end joining in 293 cells where P2-HNF4α was overexpressed. The effect of olaparib on NHEJ and concomitant P2-HNF4α loss will be quantified as well. For the first time, we demonstrated the functional involvement of P2-HNF4α in NHEJ. Furthermore, HNF4α’s involvement in DNA repair is a previously undescribed non-transcriptional role for the transcription factor. Studies are currently underway to determine whether this link between P2-HNF4α and DNA repair could be exploitable in the context of colorectal cancer. CIHRNSERC

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

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)0.0060.001

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 head0.017
GPT teacher head0.288
Teacher spread0.272 · 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 designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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