MétaCan
Menu
← Back to cohort
Record W2521817506 · doi:10.1182/blood.v104.11.697.697

High Cyclin D1 Expression Is Associated with Increased Proliferation Rate and Decreased Survival in Mantle Cell Lymphoma (MCL) and Is Caused by Genomic Deletions and Mutations that Enhance Stability of Cyclin D1 mRNA.

2004· article· en· W2521817506 on OpenAlexaff
Adrian Wiestner, Michael Chiorazzi, Raymond Lai, Andreas Rosenwald, H. K. Müller-Hermelink, German Ott, Wing C. Chan, Timothy C. Greiner, Dennis D. Weisenburger, Julie M. Vose, Jamés O. Armitage, Randy D. Gascoyne, Joseph M. Connors, Elı́as Campo, Emilio Montserrat, Francesc Bosch, Erlend B. Smeland, Stein Kvaløy, Harald Holte, Jan Delabie, Richard I. Fisher, Thomas M. Grogan, Thomas P. Miller, Wyndham H. Wilson, Elaine S. Jaffe, Louis M. Staudt

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsBC Cancer AgencyUniversity of Alberta
Fundersnot available
KeywordsCyclin D1BiologyMolecular biologyMantle cell lymphomaCell growthGeneUntranslated regionGene expressionCyclinCancer researchCyclin DMessenger RNAGeneticsCell cycleLymphomaImmunology

Abstract

fetched live from OpenAlex

Abstract Most MCLs harbor the t(11;14) translocation resulting in overexpression of cyclin D1 that promotes tumor proliferation. Gene expression profiling of 92 cyclin D1 positive MCL biopsy samples defined a gene expression signature of tumor proliferation that provided strong prognostic information: the quartile of patients with the highest proliferation gene expression signature had a 0.8 year median survival whereas the quartile with the lowest expression had a 6.7 year median survival (Cancer Cell 2003, 3:185). Sixteen of the 23 MCL samples in the highest proliferation quartile displayed exceptionally high cyclin D1 levels and preferentially expressed short cyclin D1 mRNA forms that lacked parts of the 3′UTR known to harbor RNA-destabilizing elements. To test whether expression of short cyclin D1 mRNA is due to genomic deletions, we screened DNA from all samples in the highest proliferation quartile by quantitative genomic PCR. We found genomic deletions of the 3′UTR region in 6 of the 10 samples that expressed short mRNAs. We next sequenced the proximal 400bp region of the 3′UTR in those samples with high expression of short mRNAs that did not have genomic deletions. In 2 samples, we found 2 distinct mutations: a 3bp deletion and an A insertion. Both of these mutations created a premature polyadenylation signal (AATAAA) about 300bp 3′ of the stop codon, giving rise to a predicted mRNA of 1.5kb that lacks the destabilizing elements present in the full-length form. We identified two MCL cell lines, Jeko-1 and Z138, that also showed high-level expression of the short cyclin D1 form. In Jeko-1 we found a deletion of the 3′UTR similar to that observed in the MCL patient samples, whereas the mechanism responsible for expression of the short cyclin D1 mRNA in Z138 remains unclear. In both lines, we confirmed that the half-life of the short cyclin D1 mRNA is longer than that of the full length mRNA. Our results demonstrate that MCLs increase cyclin D1 expression not only through the t(11;14), but also by the additional mechanisms of genomic deletions and mutations that create alternative polyadenylation sites that yield more stable mRNAs. Higher cyclin D1 expression increases proliferation and decreases survival, suggesting that strategies aimed at reducing cyclin D1 expression in MCL could have therapeutic promise.

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 score0.004

Distilled classifier scores by category (both heads)

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

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 head0.010
GPT teacher head0.229
Teacher spread0.219 · 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
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueBlood→Same topicLymphoma Diagnosis and Treatment→French-language works237,207→