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Abstract IA026: Epigenetic and genomic features define distinct cellular states with possible therapeutic relevance in osteosarcoma

2022· article· en· W4296230896 on OpenAlexaboutno aff
E. Alejandro Sweet‐Cordero

Bibliographic record

VenueClinical Cancer Research · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyEpigeneticsCancer researchWnt signaling pathwayEpigenomeOsteosarcomaGeneticsChromatinDNA methylationSignal transductionGeneGene expression

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. Currently, all patients with osteoblastic OS at diagnosis are treated with the same highly toxic chemotherapy and no clinically relevant subtypes have been identified. While there is significant heterogeneity at the genome level between patients, less is known regarding epigenetic heterogeneity 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 metastasis. ATACseq analysis revealed the presence of two distinct epigenetic cell states (C1 and C2). Associating the differential genomic regions to likely regulated genes, the enriched pathways of Cluster 1 (C1) are related to mesenchymal cell proliferation, skeletal system morphogenesis, osteoblast differentiation, and Wnt signaling pathway. In contrast, Cluster 2 (C2) enriched pathways are related to cell motility and migration, extracellular matrix organization and regulation of protein serine/threonine kinase activity. Furthermore, accessible chromatin regions were enriched for a distinct set of transcription factor binding sites. We then assessed whether these epigenetic states were associated with response to targeted therapies. We identified unique vulnerability of C1 cell lines to AURK inhibitors whereas C2 cell lines had evidence for upregulation of MAPK and were vulnerable to treatment with trametinib. ATACseq analysis of PDX and a limited number of patient samples confirmed that these subtypes of OS also likely exist in patient tumors. In parallel to these studies, we have also carried out extensive additional analysis of vulnerability of OS cell ines to a wide range of targeted therapies. We find evidence for significant response to several inhibitors of the ATR-WEE1-CHK1 pathway nominating this as a potential novel vulnerability for OS. Therapeutic relevance of these findings is currently being explores in an orthotopic metastasis model of OS. Overall, our findings may define new subtypes of osteosarcoma with unique therapeutic vulnerabilities. Citation Format: E. Alejandro Sweet-Cordero. Epigenetic and genomic features define distinct cellular states with possible therapeutic relevance in osteosarcoma [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 IA026.

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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.392
Teacher spread0.336 · 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
Published2022
Admission routes1
Has abstractyes

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