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Abstract B011: Two epigenetically distinct cellular states in osteosarcoma are regulated by a cluster-specific set of pioneer transcription factors

2022· article· en· W4295942229 on OpenAlexaboutno aff
Eunice Lopez Fuentes, Andrew S. Clugston, Leanne C. Sayles, E. Alejandro Sweet‐Cordero

Bibliographic record

VenueClinical Cancer Research · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyTranscription factorChromatinGeneticsEpigeneticsOsteosarcomaWnt signaling pathwayCancer researchCell biologySignal transductionGene

Abstract

fetched live from OpenAlex

Abstract The Osteosarcoma (OS) genome is characterized by aneuploidy and dramatic structural rearrangements often leading to copy number gain and loss. There is significant heterogeneity between patients. Additionally, there is less known regarding the epigenetic heterogeneity within osteosarcoma and how this may impact critical phenotypes such as therapy response and metastasis. To characterize the osteosarcoma epigenome, we integrated ATAC-seq and RNA-seq across a unique set of patient samples, PDXs and PDX-derived cell lines obtained across the disease continuum and including biopsies, resections, and metastases. Assay for Transposase Accessible Chromatin with high-throughput sequencing (ATAC-seq) analysis revealed the presence of two distinct epigenetic cell states. Differential chromatin accessibility between the clusters showed ~3000 unique open regions per cluster. Using GREAT to associate the differential genomic regions to genes, the enriched pathways of Cluster 1 (C1) are related to mesenchymal cell proliferation, skeletal system morphogenesis, osteoblast differentiation, and Wnt signaling pathway, whereas Cluster 2 (C2) enriched pathways are related to cell motility and migration, extracellular matrix organization and regulation of protein serine/threonine kinase activity. Accessible regions in the chromatin were enriched for a unique set of transcription factor binding sites. C1 accessible regions are enriched with transcription factor binding motifs (TFBM) related to development including RUNX2/3, MEOX2, HOXA2/5, VAX1/2, MEF, VSX and DLX; whereas members of AP1 complex including FOSL1/2, c-FOS, JUN are TFBM enriched in open regions in C2. This is correlated with high protein expression of these transcription factors in a cluster-specific manner and differential binding to chromatin. As expected, gene expression showed a positive correlation with accessible regions in promoters. RUNX2 plays a major role in chromatin remodeling in C1, modifying the chromatin accessibility of 5300 regions, most located in <1kb from the promoters. In conclusion, we uncovered two epigenetically cell states regulated by a cluster-specific set of transcription factors which are able to remodel the chromatin. Citation Format: Eunice Lopez Fuentes, Andrew Clugston, Leanne C. Sayles, E. Alejandro Sweet-Cordero. Two epigenetically distinct cellular states in osteosarcoma are regulated by a cluster-specific set of pioneer transcription factors [abstract]. In: Proceedings of the AACR Special Conference: Sarcomas; 2022 May 9-12; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2022;28(18_Suppl):Abstract nr B011.

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 score0.006
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.119
GPT teacher head0.423
Teacher spread0.303 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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