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Abstract B43: RECQ1, a breast cancer susceptibility gene, is upregulated by cancer therapeutics in a p53-dependent manner

2017· article· en· W2605300973 on OpenAlexaboutno aff
Xing Lü, Swetha Parvathaneni, Sudha Sharma

Bibliographic record

VenueMolecular Cancer Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyDNA damageCancerCancer researchTemozolomideDNA repairDownregulation and upregulationCancer cellGenome instabilityDoxorubicinMolecular biologyGeneDNAChemotherapyGenetics

Abstract

fetched live from OpenAlex

Abstract Sensitivity of cancer cells to DNA-damaging chemotherapeutics is determined by DNA repair processes. Consequently, cancer cells may upregulate expression of certain DNA repair genes as a mechanism to promote chemoresistance. Here, we report identification of RECQ1, a breast cancer susceptibility gene that encodes the most abundant RecQ helicase in humans, as a p53-regulated target potentially acting as a defense against DNA-damaging agents. Quantitative RT-PCR analysis in a variety of cancer cell lines revealed RECQ1 to be upregulated following DNA damage, which was confirmed by Western blot experiments. Significant increase in RECQ1 mRNA level was observed following treatment with alkylating agent methylmethanesulfonate (MMS) as well as the representative chemotherapeutic drugs doxorubicin, temozolomide and fotemustine. Upregulation of RECQ1 expression also appeared to depend on the nature of DNA lesion. Induction of RECQ1 by genotoxins requires p53 since it was observed in p53 wild-type but not in p53 null cells. Consistent with that, the RECQ1 promoter is bound by endogenous p53 and is responsive to p53 in luciferase assay. Knocking down RECQ1 expression in cancer cells resulted in increased sensitivity to MMS, fotemustine and temozolomide supporting the hypothesis that RECQ1 is involved in the recovery of cells from DNA damage. Notably, RECQ1 is frequently overexpressed and amplified in a variety of cancers. As RECQ1 efficiently protects cells from genomic instability through repair of DNA lesions including those induced by alkylating and other chemotherapeutic agents, RECQ1 overexpression may provide resistance to anti-cancer drugs. RECQ1 expression level may therefore serve to predict chemotherapeutic response of cancer patients and timely implementation of alternative therapeutic strategies. Citation Format: Xing Lu, Swetha Parvathaneni, Sudha Sharma. RECQ1, a breast cancer susceptibility gene, is upregulated by cancer therapeutics in a p53-dependent manner [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 B43.

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 categoriesMeta-epidemiology (narrow)
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 score0.013
Threshold uncertainty score1.000

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 science0.0010.001
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 head0.045
GPT teacher head0.388
Teacher spread0.343 · 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.

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

Citations0
Published2017
Admission routes1
Has abstractyes

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