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Record W2468676672 · doi:10.1182/blood.v122.21.532.532

Interim Analysis Of The Mmrf Commpass Trial, a Longitudinal Study In Multiple Myeloma Relating Clinical Outcomes To Genomic and Immunophenotypic Profiles

2013· article· en· W2468676672 on OpenAlexaboutno aff
Jonathan J. Keats, David W. Craig, Winnie S. Liang, Yellapantula Venkata, Ahmet Kurdoglu, Jessica Aldrich, Daniel Auclair, Kristi Allen, Beverly Harrison, Scott D. Jewell, Pamela G. Kidd, Mick Correll, Sundar Jagannath, David S. Siegel, Ravi Vij, Gregory Orloff, Todd M. Zimmerman, Walter Capone, John D. Carpten, Sagar Lonial

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineClinical trialMultiple myelomaInterim analysisExomeOncologyInternal medicineBioinformaticsExome sequencingGeneticsBiologyGene

Abstract

fetched live from OpenAlex

Abstract The Multiple Myeloma Research Foundation (MMRF) CoMMpass trial is the cornerstone of the MMRF Personalized Medicine Initiative. The accrual goal is 1000 patients with newly-diagnosed active multiple with sufficient tumor material for the comprehensive analysis of each tumor genome. Each eligible patient will be followed from initial diagnosis longitudinally for a minimum of 8 years. Additional tumor samples will be collected and comprehensively analyzed when possible for each patient at time of suspect CR, recurrence or progression of disease. The clinical study (NCT0145429) opened in July 2011 and now includes 56 sites in the US and Canada that have enrolled over 300 patients as of Aug. 1, 2013. The frontline treatments permitted in this study include current standard of care therapies containing a proteasome inhibitor, an IMiD or both. The comprehensive analysis of each tumor and matched normal genome involves; Long-Insert Whole Genome Sequencing (WGS) to identify somatic copy number alterations and structural changes, Whole Exome Sequencing (WES) to identify somatic single nucleotide variants and indels, and RNA sequencing (RNAseq) to define transcript expression levels and fusion transcripts. In addition, BRAF pyrosequencing and immunophenotyping analysis are being done in CAP-CLIA certified labs. An extensive, open-access, public clinical and molecular database, the CoMMpass Researcher Gateway (RG) (https://research.themmrf.org), is being developed to facilitate the rapid dissemination of the results and provides the myeloma community with a mechanism to analyze the results. The clinical endpoints and outcomes also include Quality of Life measures and health care resource utilization. An initial interim analysis on the first 178 cases has just been completed and made publicly available through the CoMMpass RG. At the molecular level, BRAF analysis on this serial sample set of newly diagnosed patients identified V600E mutations at rate of 5.7%, confirming our previous observations from a mixture of non-consecutive treated and untreated patient samples in our previous genomic efforts. The flow cytometry panel was designed to provide a comprehensive immunofingerprint of each patient that could be used for minimal residual disease monitoring and to monitor potentially therapeutic options; MS4A1/CD20, CD52, KIT/CD117, and FGFR3. These studies have identified tumors which are 100% positive for these actionable antigens at frequencies of; 16.0% for CD20, 5.7% for CD52, 49.7% for CD117, and 8.5% for FGFR3. Of the 178 cases, 34 were profiled through WGS, WES and RNAseq before this interim analysis. We identified 553 variants (median 19 per patient, range 11-55) were the variant allele detected by WES was also detected by RNAseq, suggesting the variant is potentially biologically relevant. Of these genes, 36 were seen more than once and 7 were identified in three or more patients. This includes NRAS (23.5%), KRAS (14.7%), BRAF (8.8%), DIS3 (8.8%), FAM46C (8.8%), TRAF3 (8.8%), and ZNF100 (8.8%). Interestingly, all three ZNF100 variants show preferential expression of the mutant allele. Within this cohort the only recurrent fusion gene identified is the classic IgH-MMSET fusion transcripts associate with t(4;14). The MMRF CoMMpass is providing unprecedented molecular characterization and correlating clinical datasets that will help define the determinants of response to anti-myeloma agents, reveal new, actionable targets and/or those shared with other cancers and facilitate future clinical trial designs, thus serving as a stepping stone toward personalized medicine for myeloma patients. Disclosures: Auclair: MMRC: Employment. Harrison:MMRC: Employment. Jagannath:Celgene: Honoraria; Millennium: Honoraria. Siegel:Celgene: Honoraria, Speakers Bureau; Millennium: Honoraria, Speakers Bureau; Onyx: Honoraria, Speakers Bureau. Vij:Celgene: Honoraria, Research Funding, Speakers Bureau; Millennium: Honoraria, Speakers Bureau; Onyx: Honoraria, Research Funding, Speakers Bureau. Zimmerman:Celgene: Honoraria; Millenium: Honoraria; Onyx: Honoraria. Capone:MMRC: Employment. Lonial:Millennium: Consultancy; Celgene: Consultancy; Novartis: Consultancy; BMS: Consultancy; Sanofi: Consultancy; Onyx: Consultancy.

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)0.001
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 score0.045
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

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

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 head0.103
GPT teacher head0.388
Teacher spread0.285 · 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

Citations57
Published2013
Admission routes1
Has abstractyes

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