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Abstract IA09: Replication fork stability confers chemoresistance in BRCA-deficient cells

2017· article· en· W2605240021 on OpenAlexaboutno aff
Arnab Ray Chaudhuri, Elsa Callén, Xia Ding, Ewa Gogola, Alexandra A. Duarte, J.L. Lee, Nancy Wong, Vanesa Lafarga, Jennifer A. Calvo, Nicholas J. Panzarino, Sam John, Amanda Day, Anna Vidal Crespo, Binghui Shen, Linda M. Starnes, Julian R. de Ruiter, J. Daniel, Panagiotis A. Konstantinopoulos, David Cortez, Sharon B. Cantor, Óscar Fernández-Capetillo, Kai Ge, Jos Jonkers, Sven Rottenberg, Shyam K. Sharan, André Nussenzweig

Bibliographic record

VenueMolecular Cancer Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsPARP1CisplatinPoly ADP ribose polymeraseDNA replicationHomologous recombinationBiologyDNA repairDNA damageCancer researchPolymeraseMolecular biologyDNAGeneticsChemotherapy

Abstract

fetched live from OpenAlex

Abstract Brca1- and Brca2-deficient cells have reduced capacity to repair DNA double strand breaks (DSBs) by homologous recombination (HR) and consequently are hypersensitive to DNA damaging agents including cisplatin and poly(ADP-ribose) polymerase (PARP) inhibitors. Here we show that loss of the MLL3/4 complex protein PTIP protects Brca1/2-deficient cells from DNA damage and rescues the lethality of Brca2-deficient embryonic stem cells. However, PTIP deficiency does not restore HR activity at DSBs. Instead, its absence inhibits the recruitment of the MRE11 nuclease to stalled replication forks, which in turn, protects nascent DNA strands from extensive degradation. More generally, acquisition of PARPi and cisplatin resistance is associated with replication fork (RF) protection in Brca2-deficient tumor cells that do not develop Brca2-reversion mutations. Disruption of multiple proteins including PARP1 and CHD4 leads to the same end point of RF protection, highlighting the complexities by which tumor cells evade chemotherapeutic interventions and acquire drug resistance. Citation Format: Arnab Ray Chaudhuri, Elsa Callen, Xia Ding, Ewa Gogola, Alexandra A. Duarte, Ji-Eun Lee, Nancy Wong, Vanessa Lafarga, Jennifer A. Calvo, Nicholas J. Panzarino, Sam John, Amanda Day, Anna Vidal Crespo, Binghui Shen, Linda M. Starnes, Julian R. de Ruiter, Jeremy A. Daniel, Panagiotis A. Konstantinopoulos, David Cortez, Sharon B. Cantor, Oscar Fernandez-Capetillo, Kai Ge, Jos Jonkers, Sven Rottenberg, Shyam K. Sharan, André Nussenzweig. Replication fork stability confers chemoresistance in BRCA-deficient cells [abstract]. In: Proceedings of the AACR Special Conference on DNA Repair: Tumor Development and Therapeutic Response; 2016 Nov 2-5; Montreal, QC, Canada. Philadelphia (PA): AACR; Mol Cancer Res 2017;15(4_Suppl):Abstract nr IA09.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.058
Threshold uncertainty score0.574

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.435
Teacher spread0.381 · 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 teacher head, 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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