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Record W1970298367 · doi:10.1158/1535-7163.pms-ia7

Abstract IA7: Chromosome instability and synthetic lethality in yeast and cancer

2013· article· en· W1970298367 on OpenAlexaff
Philip Hieter, Melanie L. Bailey, Nigel J. O’Neil, Derek van Pel, Peter C. Stirling

Bibliographic record

VenueMolecular Cancer Therapeutics · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFungal and yeast genetics research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSynthetic lethalityBiologyCohesinGeneMutantGeneticsDNA replicationDNA repairMutationMolecular biologyChromosome

Abstract

fetched live from OpenAlex

Abstract Genes that maintain chromosome stability (CIN genes) are conserved in eukaryotes and are often somatically mutated in cancer. We have been identifying synthetic lethal partner genes, in yeast synthetic lethal (SL) interaction networks, that are highly connected with sets of CIN genes somatically mutated in cancer. This identifies hub proteins and processes that are candidate targets for synthetic lethal killing of cancer cells with defined CIN gene somatic mutations. One hub process in these networks is DNA replication. The protein product of FEN1 (encoding flap endonuclease) was used as a target for small-molecule inhibitor screening using a fluorescence-based assay for enzyme activity. Inhibitors of FEN1 activity in vitro were shown to selectively inhibit the proliferation of cultured cancer cells carrying inactivating mutations in CDC4, or knockdown or inhibition of MRE11A, two genes frequently mutated in a variety of cancers. Analysis of synthetic lethal interactions with cohesin gene mutations, a class of somatic mutation found in several tumor types, found that cohesin mutants require the function of genes that mediate replication fork progression. PARP1 has roles in the DNA damage response but also the restart of stalled replication forks. We found that cohesin mutants exhibited synthetic lethal interactions with PARP mutants in C. elegans, and demonstrated that this interaction is conserved in human cells by showing that PARP inhibitors reduce the viability of cultured human cells depleted for cohesin components. Solomon, Waldman et al (Science 333:1039-43, 2011) have shown that the cohesin subunit gene, STAG2, is recurrently mutated in glioblastoma, Ewing's sarcoma, and melanoma tumors. Using matched glioblastoma cell lines containing either a truncated STAG2 or wild-type STAG2 knock-in, we found that STAG2 mutants undergo significantly decreased proliferation in the presence of PARP inhibition, suggesting that PARP inhibitors may be effective in treating cancers carrying somatic mutations in cohesin genes. Citation Format: Philip Hieter, Melanie Bailey, Nigel O'Neil, Derek van Pel, Peter Stirling. Chromosome instability and synthetic lethality in yeast and cancer. [abstract]. In: Proceedings of the AACR Precision Medicine Series: Synthetic Lethal Approaches to Cancer Vulnerabilities; May 17-20, 2013; Bellevue, WA. Philadelphia (PA): AACR; Mol Cancer Ther 2013;12(5 Suppl):Abstract nr IA7.

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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.023
GPT teacher head0.301
Teacher spread0.277 · 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".

Quick stats

Citations1
Published2013
Admission routes1
Has abstractyes

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