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Abstract IA08: Synthetic viability due to BRCA2 and PARP1 loss

2017· article· en· W2604170775 on OpenAlexaboutno aff
Shyam K. Sharan

Bibliographic record

VenueMolecular Cancer Research · 2017
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsnot available
Fundersnot available
KeywordsSynthetic lethalityPARP1OlaparibCancer researchBiologyPoly ADP ribose polymerasePARP inhibitorCancer cellMutationCancerProgrammed cell deathApoptosisDNA repairGeneticsPolymeraseDNAGene

Abstract

fetched live from OpenAlex

Abstract It is very well established that BRCA1 and BRCA2 deficient cells are hypersensitive to PARP inhibitors (PARPi) due to synthetic lethality. Because Parp1 parylates proteins involved in a wide range of biological processes, we hypothesized that inhibiting PARP activity may have detrimental effect on cells that are HR proficient and do not undergo synthetic lethality. We have demonstrated that although Brca2 null ES cells are not viable, they can survive after ES cells expressing a conditional allele of Brca2 are treated with olaparib prior to Cre-mediated deletion of the conditional allele. We also found that while Parp1 loss does not rescue the HR defect, surprisingly, it rescues the MRE11-mediated degradation of stalled replication forks associated with BRCA2 loss. Interestingly, we found that reducing MRE11 activity/levels also rescues the lethality of Brca2ko/ko ES cells. Similar to the ES cells, we observe fork protection in mouse B-cells deficient in Parp1 and Brca2 as well as in human MCF10A cells. This unexpected functional interaction between BRCA2 and PARP1 that results in synthetic viability can have profound clinical implications: use of PARP inhibitors for cancer prevention in BRCA-mutation carriers is being explored based on the assumption that PARPi would be innocuous in normal cells. Our findings raise concerns that when patients are treated with PARPi, not only are the tumor cells killed, but normal cells can also be affected. In BRCA-mutation carriers, the majority of the cells that lose the wild-type allele undergo cell cycle arrest or apoptosis unless they acquire additional mutations in genes (the identity of which are unknown) that bypass such a response. Our work provides strong evidence that Parp1 inhibition contributes to the viability of BRCA2 deficient cells, a key step in the transformation of a normal cell to pre-neoplastic state. We have genetic evidence to show that Parp1 deficiency can contribute to tumorigenesis in mice. We found a significant increase in tumorigenesis in Brca2 conditional knockout mice (cko/cko) with K14Cre on a Parp1 heterozygous background compared to those on a Parp1 wild-type background. Citation Format: Shyam K. Sharan. Synthetic viability due to BRCA2 and PARP1 loss [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 IA08.

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)0.001
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 score0.262
Threshold uncertainty score0.935

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.090
GPT teacher head0.461
Teacher spread0.372 · 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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