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Record W2138537095 · doi:10.1002/gcc.10314

Identification of cytogenetic subgroups and karyotypic pathways of clonal evolution in follicular lymphomas

2003· article· en· W2138537095 on OpenAlexaff
Mattias Höglund, Laurie H. Sehn, Joseph M. Connors, Randy D. Gascoyne, Reiner Siebert, Torbjörn Säll, Felix Mitelman, Douglas E. Horsman

Bibliographic record

VenueGenes Chromosomes and Cancer · 2003
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
FundersNational Cancer InstituteDeutsche KrebshilfeCancerfonden
KeywordsBiologyIdentification (biology)GeneticsSomatic evolution in cancerCancer researchFollicular lymphomaFollicular phaseComputational biologyEvolutionary biologyLymphomaCancerImmunology

Abstract

fetched live from OpenAlex

Follicular lymphoma (FL) is characterized by the activation of BCL2 through t(14;18)(q32;q21). Additional acquired mutations are necessary to generate a fully malignant clonal proliferation. Many of these secondary genetic alterations are visible in the clonal karyotype; however, the sequence by which they arise and their influence on clinical behavior have not been determined. The ability to address these issues has been hampered by the lack of computational methods to manipulate complex chromosomal data in a sufficiently large cohort of cases. In the present investigation, we analyzed secondary karyotypic alterations in 336 cases of FL with t(14;18) to identify the most common regions of recurrent chromosomal gain or loss. This revealed 29 recurrent changes present in more than 5% of the tumors. Each tumor karyotype was then assessed for the presence or absence of each of these 29 specific changes. By statistical means, we show that the chromosomal changes arise in an apparent temporal order, with distinct early and late changes. We identify, by principal-components analysis, four possible cytogenetic pathways that characterize the early stages of clonal evolution, which converge to a common route at later stages. We show that FLs with t(14;18) may be classified into cytogenetic subgroups determined by the presence or absence of 6q-, +7, or der(18)t(14;18). Correlation with clinical outcomes in a subset of cases with clinical data revealed del(17p) and +12 to be correlated with an adverse clinical outcome. The clinical implications of these pathways of clonal evolution need to be examined on a prospective basis in a large cohort of FLs.

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)0.001
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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.246
Teacher spread0.234 · 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

Citations136
Published2003
Admission routes1
Has abstractyes

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