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Record W1749414592 · doi:10.25011/cim.v30i4.2840

Profiling YB-1 responsive genes in basal-like breast cancer cells by ChIP-on-chip reveals direct binding to PIK3CAs

2007· article· en· W1749414592 on OpenAlexvenueno aff
Arezoo Astanehe, Melanie Finkbeiner

Bibliographic record

VenueClinical and investigative medicine · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsPI3K/AKT/mTOR pathwayCancer researchBreast cancerBiologyProtein kinase BP110αTranscription factorKinaseCancer cellCancerCell biologySignal transductionGeneGenetics

Abstract

fetched live from OpenAlex

Purpose: Basal-like breast cancers (BLBC) are typically very aggressive and they are also prone to a high rate of recurrence. We recently identified the transcription factor Y-box binding protein-1 (YB-1) as an important component of BLBC by screening breast tumour tissue microarrays. YB-1 is well known for its ability to confer chemotherapy resistance and to promote the growth of a wide range of cancer cell types. The breast cancer cell line SUM149 was characterized by us as having all the hallmarks of BLBC including a lack of the estrogen, progesterone, and Her-2 receptors. We also find that they express high levels of the epidermal growth factor receptor, a YB-1 responsive gene. We performed a genome-wide promoter screen of the possible YB-1 responsive genes using the NimbleGen ChIP-on-chip (COC) platform to begin to understand how this oncogene regulates the growth of basal-like breast cancer cells. YB-1 was found to bind to ~6,700 human promoters. Several members of the phosphatidylinositol-3-kinase (PI3K) pathway were identified (p110a, p85, Akt-2, ILK). Of particular interest was the identification of PIK3CA, the gene that codes for the p110a catalytic subunit of PI3K. PI3K, a lipid kinase with important roles in neoplasia, phosphorylates membrane inositol lipids resulting in activation of downstream effectors that are involved in cellular responses such as cell proliferation, survival, metabolism, and cytoskeletal reorganization. Many studies have suggested importance of the role of PI3K signaling in various types of cancer. Approximately 20% of breast cancers harbour somatic activating mutations in PIK3CA, and about 8% have amplification of PIK3CA. The remainder of the cancers have elevated levels of PI3K via other mechanisms including increased transcription. Methods & Results: Here we propose that YB-1 overexpression in cancer leads to increased PIK3CA transcription via direct binding to the promoter. To extend our COC findings, we knocked down YB-1 with siRNA and observed a concomitant loss in p110a by immunoblotting. We have recently identified two alternate PIK3CA transcriptional start sites (exon 1a and 1b) and two alternate PIK3CA promoters (promoter 1a and 1b). We mapped potential YB-1 binding sites on PIK3CA promoters 1a and 1b, and identified five putative YB-1 binding sites within promoter 1a and one putative binding site within promoter 1b. We further performed traditional ChIP and EMSA to confirm the interaction of YB-1 with the putative binding sites on PIK3CA promoter, and determined that YB-1 binds to promoter 1a, but not to promoter 1b. Conclusion:The demonstration that YB-1 binds directly to the PIK3CA promoter and induces its activity identifies a novel mechanism whereby activation of YB-1 and subsequent up-regulation of PIK3CA may contribute to the pathophysiology, outcomes and therapeutic responsiveness of breast cancer.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.056
GPT teacher head0.364
Teacher spread0.308 · 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 designObservational
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
Published2007
Admission routes1
Has abstractyes

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