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High-Resolution CGH Analysis of CD34+ Cells from Lower-Risk Myelodysplastic Patients Reveals Cryptic Copy Number Alterations and Predicts Overall and Leukemia-Free Survival.

2007· article· en· W2590631360 on OpenAlexaff
Daniel T. Starczynowski, Suzanne Vercauteren, Adèle Telenius, Sandy Sung, Kaoru Tohyama, Angela Brooks‐Wilson, John J. Spinelli, Connie J. Eaves, Allen Eaves, Douglas E. Horsman, Wan L. Lam, Aly Karsan

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsMyelodysplastic syndromesBiologyInternational Prognostic Scoring SystemCytogeneticsMyeloid leukemiaLeukemiaComparative genomic hybridizationMyeloidChromosome abnormalityInternal medicineOncologyKaryotypeBone marrowCD34Cancer researchImmunologyGeneticsChromosomeMedicineGeneStem cell

Abstract

fetched live from OpenAlex

Abstract The myelodysplastic syndromes (MDS) are a heterogeneous group of clonal hematologic malignancies characterized by peripheral cytopenias, a hypercellular marrow with ineffective hematopoiesis and a propensity to progress to acute myeloid leukemia (AML). MDS is thought to arise from a primitive (CD34+) hematopoietic cell that has acquired genetic and/or epigenetic abnormalities. Risk stratification according to the International Prognostic Scoring System (IPSS) defines patient categories that correlate with survival and the likelihood of transformation to AML. Greater than 50% of individuals diagnosed with MDS are in the lower-risk groups. The importance of cytogenetics in risk stratification has been verified in several studies, but is of limited value in patients with lower-risk subtypes because approximately 50% of these patients do not have karyotypic abnormalities detectable using standard techniques. To further our biological understanding of lower-risk subtypes of MDS, and to identify potential MDS-initiating alterations in the genome, we looked for alterations in DNA extracts from purified CD34+ marrow cells from 44 MDS lower-risk patients using a submegabase bacterial artificial chromosome (BAC) array to perform whole genome comparative genomic hybridization (CGH) analyses. These studies identified numerous cryptic structural DNA alterations that were not detectable by standard cytogenetic analysis and were also not found in 15 age-matched normal controls. Although most patients tested had a normal karyotype, 23 recurring, novel copy number alterations of a median size of 0.6 megabases were identified. These included gains at 11q24.2-qter, 17q11.2 and 17q12, and losses at 2q33.1-q33.2 and 14q12. Comparison of changes in CD34+ marrow cells with DNA from CD3+ cells isolated from the same patients showed that a recurring duplication at band 17q12 was exclusive to the CD34+ cells in 2 of 3 patients. Validation of this copy number gain at chr 17q12 by FISH confirmed duplication of the locus. In addition, whole genome array CGH analysis of CD34+ marrow cells from karyotypically normal (n = 25) and abnormal (n = 15) lower risk MDS patients revealed extensive genome alterations (involving >3 Mb) correlated with poorer overall survival, and was more frequently associated with transformation to AML as compared to IPSS stratification alone. Our studies suggest that array CGH may be useful as an ancillary test to better stratify lower-risk subtypes of MDS and, at the same time lead to the identification of early mutations that contribute to disease initiation.

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: Observational
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 head0.009
GPT teacher head0.249
Teacher spread0.240 · 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
Published2007
Admission routes1
Has abstractyes

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