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Record W1968874773 · doi:10.1158/1538-7445.am10-3417

Abstract 3417: Ezh2 is up-regulated and correlates with Ki67 and CD31 expression in human pediatric rhabdomyosarcoma

2010· article· en· W1968874773 on OpenAlexaff
Roberta Ciarapica, Marco Pezzullo, Federica Verginelli, Renata Boldrini, Luigi De Sio, Stefano Stifani, Antonio Giordano, Rossella Rota

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsRhabdomyosarcomaEZH2BiologyImmunohistochemistryCD31Cancer researchMyogenesisPathologyAngiogenesisGene expressionSkeletal muscleMedicineEndocrinologySarcomaImmunologyGeneGenetics

Abstract

fetched live from OpenAlex

Abstract Rhabdomyosarcoma (RMS) is a pediatric tumor believed to originate from perturbations of the normal development of the muscle lineage. The Polycomb Group (PcG) protein Ezh2, which was originally implicated in inhibiting homeobox gene expression during embryonic development, was recently shown to act as a negative regulator of muscle differentiation. Moreover, Ezh2 is a histone methyltransferase that is aberrantly overexpressed in most human cancers. Comparing the level of the expression of Ezh2 in RMS cell lines, a small group of tumor samples with normal skeletal muscle myoblasts (SkMC), and normal muscle tissues, we have previously observed that Ezh2 is highly upregulated in rhabdomyosarcoma tumors (Ciarapica et al., 2009). The aim of this study was to characterize the relevance of Ezh2 expression in RMS. Ezh2 expression was analyzed by immunohistochemistry in a cohort of 32 RMS primary tumors and correlated with the expression of the cell proliferation marker, Ki67, and the angiogenic marker, CD31. Results of these expression studies were then correlated with the clinicopathological features of the tumor samples. No significant difference in the clinicopathological variables was observed between the two major histophatological groups of RMS, the most aggressive alveolar RMS (ARMS) and the embryonal RMS (ERMS). Ezh2 expression was not correlated with the clinical parameters of the cohorts, but strikingly, a significant positive correlation was observed between Ezh2 and Ki67 expression in the whole RMS sample (r0 = 0,560; p = 0,013). The number of the large vessels was correlated with the total number of vessels (r0= 0,730; p<0,0001) and with the expression of Ki67 (r0= 0,421; p=0,02). In ARMS samples, the number of large vessels was significantly correlated with the expression of Ezh2 (r0= 0,559; p=0,047), the total number of vessels (r0= 0,781; p=0,02), and the expression of Ki67 (r0= 0,738; p=0,004). This study confirmed our previous observation regarding the aberrantly high expression of Ezh2 in rhabdomyosarcoma tumors on a larger cohort of samples. Moreover, the present data established a positive correlation between Ezh2 expression and the proliferative and angiogenic potential of rhabdomyosarcoma neoplasia. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 3417.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.044
GPT teacher head0.384
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 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

Citations3
Published2010
Admission routes1
Has abstractyes

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