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Record W2153616582 · doi:10.3324/haematol.2013.090142

High XBP1 expression is a marker of better outcome in multiple myeloma patients treated with bortezomib

2014· article· en· W2153616582 on OpenAlexaboutno aff
Manuela Gambella, Alberto Rocci, Roberto Passera, Francesca Gay, Paola Omedè, Claudia Crippa, Paolo Corradini, Alessandra Romano, Davide Rossi, Marco Ladetto, Mario Boccadoro, Antonio Palumbo

Bibliographic record

VenueHaematologica · 2014
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsnot available
FundersUniversità degli Studi del Piemonte OrientaleFondazione Umberto VeronesiUniversità di Catania
KeywordsIRF4Multiple myelomaBortezomibXBP1Transcription factorCancer researchBone marrowMonoclonal antibodyAntibodyInterferon regulatory factorsMedicineMolecular biologyImmunologyInternal medicineBiologyGene

Abstract

fetched live from OpenAlex

Multiple myeloma (MM) is a hematologic tumor characterized by accumulation of monoclonal plasma cells (PCs) in the bone marrow (BM) producing antigen-specific immunoglobulins. The transcription factor X box binding protein 1 (XBP1), the interferon regulatory factor 4 (IRF4) and the transcriptional repressor B lymphocite-induced maturation protein 1 (BLIMP1) are essential to drive physiological plasmacytic differentiation. 1,2 XBP1 is particularly required for the last stages of B-cell differentiation into PC, and, consistently, XBP1-deficient mice display normal Blymphocite development up to germinal center, but are unable to produce PCs. 2 High mRNA levels of IRF4, BLIMP1 and XBP1 have been detected in malignant PC and are negative prognostic factors in patients treated with standard chemotherapy or thalidomide. Lenalidomide seems to overcome the negative prognostic impact of IRF4 overexpression, due to its rapid downregulation following treatment. Bortezomib induces better responses in patients with high levels of XBP1. assessed the prognostic role of gene-driven plasmacytic differentiation in a large cohort of patients treated with bortezomib. RNA expression of three genes involved in PCs differentiation was investigated in purified PCs (CD138 + BM fraction) of well-characterized patients with newly diagnosed MM. One hundred and fifty-one patients enrolled in two multicenter clinical trials (the PAD-MEL100-LP-L and the VMP-VMPT) were assessed. 7,8 PCs were purified using anti-CD138-coated magnetic MicroBeads and AutoMACS Pro Separator (Miltenyi Biotech GmbH, Germany) following manufacturer specifications. Gene expression was investigated on isolated PCs with more than 90% of purity assessed by flow cytometry. RNA was extracted using the DNA/RNA Purification Kit (Norgen, Thorold, Canada). Complementary DNA was produced using High capacity cDNA RT Kit (Applied Biosytem, Foster Ciy, CA, USA). Quantitative PCR to measure RNA expression of XBP1, IRF4 and BLIMP1 was performed with the Abi Prism 7900HT (Applied Biosystems, Carlsbad, CA, USA) using a relative quantification based on Ct approach and GUSB (b-glucuronidase) as housekeeping gene. All RNA determinations were performed using the following assays: Hs00231936_m1 (XBP1), Hs01056533_m1 (IRF4), Hs00153357_m1 (BLIMP1). Patients were divided accord-

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.574

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.028
GPT teacher head0.279
Teacher spread0.251 · 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.

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

Citations56
Published2014
Admission routes1
Has abstractyes

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