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Record W2171440950 · doi:10.3109/10428194.2014.970550

Combining MYC, BCL2 and TP53 gene and protein expression alterations improves risk stratification in diffuse large B-cell lymphoma

2014· article· en· W2171440950 on OpenAlexaff
Idun Fiskvik, Klaus Beiske, Jan Delabie, Olav Erich Yri, Signe Spetalen, Marja-Liisa Karjalainen-Lindsberg, Sirpa Leppä, Knut Liestøl, Erlend B. Smeland, Harald Holte

Bibliographic record

VenueLeukemia & lymphoma/Leukemia and lymphoma · 2014
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChromosomal translocationFluorescence in situ hybridizationImmunohistochemistryLymphomaInternal medicineCancer researchGene expressionOncologyGeneRisk stratificationProgression-free survivalBiologyMedicineOverall survivalGenetics

Abstract

fetched live from OpenAlex

Translocations affecting both MYC and BCL2 are associated with a poor prognosis in diffuse large B-cell lymphomas. We have examined genetic aberrations combined with analyses of protein expression of respective gene products. Fluorescence in situ hybridization (FISH) for translocations of BCL2 and MYC and del17p13 was performed. Immunohistochemistry analyses included BCL2, MYC and TP53 protein expression. Sixty-seven patients with high-risk DLBCL participating in a prospective multicenter study were included. Six patients with simultaneous translocations of BCL2 and MYC had impaired overall (OS) (p = 0.009) and progression-free survival (PFS) (p = 0.009). Six patients with high coexpression of MYC and BCL2 proteins also had impaired OS (p = 0.004) and PFS (p = 0.002). Combining these groups identified nine patients with impaired OS (p = 0.004) and PFS (p = 0.005). Sixteen patients had double-hit translocation or protein expression and/or del17p13 and/or high TP53. This combined endpoint was associated with impaired OS (p = 0.008) and PFS (p = 0.036), and identified 70% of all deaths.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.531
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.222
Teacher spread0.215 · 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 teacher head, not a consensus.

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

Citations24
Published2014
Admission routes1
Has abstractyes

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