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Abstract P4-04-06: Histone H2A Inhibits Breast Cancer Stem Cell Growth

2010· article· en· W2313073532 on OpenAlexaff
AM Tourville Poirier, CRCHUM Balicki D.

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHistone Deacetylase Inhibitors Research
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsHistone deacetylaseHDAC11Histone deacetylase 5HistoneCancer researchBiologyAcetylationHistone H2ACancer epigeneticsEpigeneticsHistone deacetylase 2Cell biologyHistone methyltransferaseGeneticsGene

Abstract

fetched live from OpenAlex

Abstract Introduction: Recent studies have identified epigenetic abnormalities as the underlying cause of many breast cancers. In particular, the aberrant acetylation of core histones may be a pivotal source of dysregulated expression of both oncogenes and tumour suppressor genes. Histone deacetylase inhibitors are known to restore histone acetylation and to induce cellular differentiation and growth arrest in breast cancer cells and are the object of extensive research for novel anticancer treatments. We hypothesize that acetylated proteins, in particular histone H2A, could also serve as an alternative substrate for histone deacetylase, thereby promoting cellular histone acetylation and arrest of cancer cell growth. Indeed, our previous results indicate that exogenous calf thymus histone H2A penetrates cells and their nuclei, and induces differentiation and senescence in human breast cancer cells. In contrast, human recombinant histone H2A and H2AX, which lack post-translational modifications, fail to yield these results in spite of the fact that human and bovine histone H2A are virtually identical in their amino acid sequences. However, these recombinant molecules were obtained from bacteria, which lack the intracellular machinery that is necessary to generate post-translational modifications. Thus, post-translational histone modifications are pivotal to the inhibition of breast cancer cell proliferation. Objective: We have extended our study to establish if exogenous calf thymus histone H2A could also induce growth arrest of breast cancer stem cells, and subsequently to determine which portion (s) of the histone H2A molecule is responsible for this action, using overlapping synthetic peptides. Materials and Methods: Breast cancer stem cells were incubated with exogenous calf thymus histone H2A and seven synthetic peptides corresponding to overlapping portions of the entire protein and include all of its post-translational modifications. Cellular morphology was observed and viable cells were counted using trypan blue exclusion. Control experiments were performed with normal breast cells, cells from fibrocystic breast tissues, and breast cancer cells that were not significantly enriched in cancer stem cells. Results and Discussion: Histone H2A inhibits breast cancer stem cell growth and increases their adhesion. Stem cells have recently been identified in many malignant tumours, including breast cancer. Since cancer stem cells are thought to be an important source of therapeutic resistance, they provide a novel research focus for alternative treatment strategies. Our results are very encouraging and may lead to the development of new pharmacological molecules targeting epigenetic abnormalities in breast cancer stem cells. Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr P4-04-06.

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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 score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.028
GPT teacher head0.368
Teacher spread0.340 · 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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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