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Abstract A23: BRCA1 mutations in the BRCT domain can be removed through alternative splicing and induce PARP inhibitor resistance

2017· article· en· W2604383012 on OpenAlexaboutno aff
Yifan Wang, Andrea J. Bernhardy, Neil Johnson

Bibliographic record

VenueMolecular Cancer Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsExonBiologyMolecular biologyOlaparibImmunoprecipitationMutationCancer researchGeneGeneticsPoly ADP ribose polymerasePolymerase

Abstract

fetched live from OpenAlex

Abstract Introduction: The BRCA1 protein harbors two C-terminal tandem BRCT domains. The first is encoded by BRCA1 gene sequences located toward the end of exon 16, and the second BRCT domain initiated at exon 21. BRCA1 BRCT domains bind to proteins containing a phosphorylated serine-proline-x-phenylalanine (pSPxF) motif, including Abraxas, BACH1 and CtIP. Protein–protein interactions mediated by BRCT domains regulate DNA damage repair and cell cycle checkpoint signaling. Many cancer-associated mutations located in the BRCT domains of BRCA1 result in protein structural defects, and consequently misfolding and proteasomal degradation. Experimental Procedures: In this study, we examined PARP inhibitor (PARPi) resistance mechanisms utilizing MDA-MBA-436, HCC-1395 and SNU-251 human breast cancer and ovarian cancer cell lines that harbor frameshift mutations in BRCA1 exon 20, exon 20 and exon 23, respectively; predicted to generate BRCT domain disruptions. Cells were cultured in the presence of increasing concentrations of the PARPi rucaparib until resistant clones emerged. Quantitative RT-PCR and Western blotting were used to measure BRCA1 mRNA and protein levels. Results: Despite BRCA1 mRNA being abundant in all parental cell lines, BRCA1 protein was low or undetectable. However, PARPi resistant cell lines all demonstrated elevated BRCA1 protein levels that could be detected with N- but not C-terminal specific antibodies. Notably, the gel migration and molecular weight of BRCA1 proteins were markedly lower than the mutation-induced stop codon expected size. To identify potential protein products, we carried out immunoprecipitation and mass spectrometry to analyze BRCA1 peptide sequences. BRCA1 peptides encoded by exons 2-16 were readily detected; however, no peptides encoded by exon 17-24 were present in any cell line. qRT-PCR analyses suggested that BRCA1 mRNA was subject to alternative splicing and removal of exons 16-24. To understand why PARPi selection pressure generates BRCT-less BRCA1 proteins, we ectopically overexpressed BRCA1 cDNA that harbored stop codons located in BRCT domains or prior to the first BRCT domain. BRCT mutation containing constructs had undetectable protein levels, presumably due to protein misfolding, and cells were highly PARPi sensitive. In contrast, cells expressing BRCA1 constructs with stop codons prior to the BRCT domains had robust protein expression and demonstrated residual RAD51 foci and PARPi resistance. Conclusions: Our findings indicate that alternative splicing can remove deleterious mutations that disrupt BRCT peptide folding, generating more truncated but functional proteins capable of restoring residual DNA repair and PARPi resistance. Citation Format: Yifan Wang, Andrea J. Bernhardy, Neil Johnson. BRCA1 mutations in the BRCT domain can be removed through alternative splicing and induce PARP inhibitor resistance [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 A23.

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 score0.077
Threshold uncertainty score0.500

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 science0.0000.000
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 head0.048
GPT teacher head0.421
Teacher spread0.373 · 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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Citations1
Published2017
Admission routes1
Has abstractyes

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