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Record W2024941692 · doi:10.1159/000368718

Expression of SIRT2 and SIRT6 in Retinoblastoma

2015· article· en· W2024941692 on OpenAlexaff
María Eugenia Orellana, Carlos Quezada-Ruiz, S. Maloney, E. Antecka, Matthew Balazsi, Miguel N. Burnier

Bibliographic record

VenueOphthalmic Research · 2015
Typearticle
Languageen
FieldMedicine
TopicSirtuins and Resveratrol in Medicine
Canadian institutionsMcGill University
Fundersnot available
KeywordsSIRT2RetinoblastomaSIRT6SirtuinCancer researchBiologyCell biologyChemistryGeneticsAcetylationGene

Abstract

fetched live from OpenAlex

PURPOSE: SIRT2 and SIRT6 are members of the sirtuin family and are associated with cancer development and progression in certain tumours, but their expression in retinoblastoma has not been studied. The primary objective of our study was to determine the expression of SIRT2 and SIRT6 in human retinoblastoma cases. METHODS: Eighteen formalin-fixed paraffin-embedded blocks of retinoblastoma cases from the Ocular Pathology Registry at the Henry C. Witelson Ocular Pathology Laboratory were obtained, classified and immunostained for SIRT2 and SIRT6 using mouse monoclonal antibodies. RESULTS: Sixteen cases were poorly differentiated retinoblastoma cases. SIRT2 and SIRT6 were expressed in all cases of retinoblastoma although differences in the staining intensity were found between cases. SIRT2 and SIRT6 expression was also observed in various normal structures of the remaining ocular tissue. CONCLUSIONS: SIRT2 and SIRT6 are expressed in retinoblastoma, as well as in some normal ocular structures. While precise roles of these proteins must still be determined in retinoblastoma, their expression profiles suggest that further functional studies of both SIRT2 and SIRT6 should be pursued in this 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 score0.002
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
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.194
GPT teacher head0.458
Teacher spread0.264 · 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

Citations11
Published2015
Admission routes1
Has abstractyes

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