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Record W1926565167 · doi:10.1593/neo.11358

Chromosome Arm-Specific Long Telomeres: A New Clonal Event in Primary Chronic Myelogenous Leukemia Cells

2011· article· en· W1926565167 on OpenAlexaff
Oumar Samassékou, Huiyu Li, Josée Hébert, Aimé Ntwari, Haixia Wang, Catherine Grenier Cliché, Éric F. Bouchard, Shiang Huang, Ju Yan

Bibliographic record

VenueNeoplasia · 2011
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-RosemontUniversité de Sherbrooke
Fundersnot available
KeywordsTelomereBiologyChromosomeMyeloid leukemiaFluorescence in situ hybridizationPopulationCarcinogenesisMolecular biologyclone (Java method)Chromosome 7 (human)LeukemiaCancer researchGeneticsDNAGeneMedicine

Abstract

fetched live from OpenAlex

Previous studies demonstrated that critically shortened telomere lengths correlate with the chromosome instability in carcinogenesis. However, little has been noticed regarding the correlation of long telomeres at specific chromosomes with malignant disorders. We studied relative telomere lengths (RTLs) for individual chromosomes using the quantitative fluorescence in situ hybridization technique in a cohort of 32 patients with chronic myeloid leukemia (CML) and 32 normal samples. We found that telomeres at some specific chromosome arms remain well maintained or even lengthened in a high frequency (27/32) of leukemia cases. In particular, 10 chromosome arms, 4q, 5p, 7q, 11p, 13p, 13q, 14p, 15p, 18p, and Xp, with long telomeres were consistently identified in different samples, and six of them (4q, 5p, 13p, 13q, 14p, and Xp) with relatively long telomeres were also observed in normal samples, but they appeared in lower occurrence rate and shorter RTL than in CML samples. Our results strongly indicate the presence of a special leukemia cell population, or a clone, originated from a common progenitor that is characterized with chromosome arm-specific long telomeres. We suggest that relatively long telomeres located at key chromosomes could be preferentially maintained or further elongated during the early stage of malignant transformation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.024
GPT teacher head0.231
Teacher spread0.207 · 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; both teacher heads agree on what is shown here.

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

Citations14
Published2011
Admission routes1
Has abstractyes

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