MétaCan
Menu
Back to cohort

Biomarker Driven Phase II Clinical Trial of Trametinib in Relapsed/Refractory Multiple Myeloma with Sequential Addition of the AKT Inhibitor, GSK2141795 at Time of Disease Progression to Overcome Treatment Failure: A Trial of the Princess Margaret Phase II Consortium

2016· article· en· W2621281002 on OpenAlexaff
Suzanne Trudel, Nizar J. Bahlis, Christopher P. Venner, Annette E. Hay, Olena Kis, Signy Chow, Zhihua Li, Ellen Wei, Lisa Wang, Christine Tran, Smitha Udagani, Chantale Blattler, Trevor J. Pugh, Helen X Chen, Amit M. Oza

Bibliographic record

VenueBlood · 2016
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsOntario Institute for Cancer ResearchUniversity of TorontoUniversity Health NetworkQueen's UniversityUniversity of CalgaryPrincess Margaret Cancer Centre
Fundersnot available
KeywordsTrametinibNeuroblastoma RAS viral oncogene homologMedicineProtein kinase BMultiple myelomaProgressive diseaseOncologyBiomarkerInternal medicineClinical trialPI3K/AKT/mTOR pathwayLenalidomideMEK inhibitorCancer researchResponse Evaluation Criteria in Solid TumorsPhases of clinical researchMAPK/ERK pathwayCancerDiseaseBiologyKRASSignal transduction

Abstract

fetched live from OpenAlex

Abstract Activating mutations of the MAPK pathway are reported in over half of myeloma tumors. Experience with MEK inhibitors in solid tumors suggest that although tumors harboring BRAF or RAS mutations are more likely to respond, response rates are low and duration of responses short. Potential explanations include the activation of alternative signaling pathways and in particular PI3K/AKT signaling. Studies of multiple myeloma (MM) tumors suggest that AKT activation is independent of oncogenic RAS and that combined inhibition of RAS and AKT enhances MM cell death. Based on these observations, we initiated a clinical trial to evaluate the activity of trametinib (TMTB) in MM patients (pts) with or without RAS/RAF mutations, as a single-agent and in combination with AKT inhibition for pts who fail to respond to TMTB alone. Methods: Pts were independently recruited into biomarker positive (K/NRAS or BRAF mutated) or biomarker negative (K/NRAS, BRAF wild type) groups. All pts received TMTB, 2 mg/day on a 28 day cycle. In pts who developed progressive disease (PD) or achieved less than a partial response (PR) after 4 cycles of TMTB monotherapy, GSK2141795 (pan-AKT inhibitor) was added. TMTB combined with GSK2141795 was dosed at 1.5 mg/50 mg taken daily. The M-protein at the time of adding GSK2141795 was considered the new baseline for response assessment to the combination. The main objectives were to evaluate overall response rates (ORR; IMWG) to TMTB in the 2 groups and determine the clinical benefit of adding GSK2141795 to TMTB. Results: At the data cutoff, 25 pts were enrolled: 12 in the mutated (MUT) and 13 in the wild type (WT) groups. Median age and prior lines of therapy were 65 years (range 42-76) and 4 (range 4-8) for the MUT group and 64 years (range 51-81) and 4 (range 2-8) for the WT group. 96%, 100%, 60% and 96% of pts had received prior proteasome inhibitor (PI), immunomodulatory drugs (IMiDs), pomalidomide or PI+IMiD therapy, respectively. The most common (>30%) adverse events (AEs) possibly related to study drugs were thrombocytopenia (40%) and diarrhea (32%) for TMTB monotherapy and nausea (72%), rash (63%), thrombocytopenia (36%) and anorexia (36%) with the addition of GSK2141795. The most frequent grade 3-4 AEs (>20%) were thrombocytopenia (24%) for TMTB monotherapy and thrombocytopenia (45%), anemia (45%), lymphopenia (36%), hyponatremia (27%), and neutropenia (27%) in combination with GSK2141795. One death occurred due to gastrointestinal bleed unrelated to study drugs. Of 24 pts assessable for response, confirmed ORR was 8% (1 PR) for the MUT group (N=12), Further, 1 pt had an unconfirmed minimal response (MR) and 4 pts had stable disease (SD). For the WT group (N=12), we observed 2 MR (1unconfirmed) and 3 SD. For clinical benefit rate (CBR) of 17% in both groups. With the addition of GSK2141795 to TMTB (N=11), the ORR was 27% (3 PR, 1 unconfirmed) and 1 pt had an MR (CBR=36%). The median PFS is estimated to be 3.2 (range 0.9-3.8) and 1.8 (range 0.9-NR) months (p=0.91), for the MUT and WT groups, respectively. Correlative studies are ongoing and are designed to identify predictors of response and resistance to TMTB. These include, assessment of pre- and post-treatment expression of phospho-ERK1/2, serial monitoring of clonal dynamics in bone marrow and cell-free DNA and pharmacogenomic studies. Analyses will be presented. Conclusions: The MEK1/2 inhibitor, TMTB demonstrates clinical activity in MM pts with RAS mutated tumors. In addition, disease control was observed for pts with WT RAS/RAF tumors. However, single agent activity in heavily pre-treated pts is modest. The addition of GSK2141795 to block the alternative signaling pathway improved the ORR to 27% supporting further exploration of this treatment strategy for MM. Disclosures Trudel: Celgene: Consultancy, Equity Ownership, Honoraria; Novartis: Consultancy, Honoraria; Glaxo Smith Kline: Honoraria, Research Funding; Oncoethix: Research Funding; BMS: Honoraria; Amgen: Honoraria. Bahlis:Amgen: Consultancy, Honoraria; BMS: Honoraria; Janssen: Consultancy, Honoraria, Other: Travel Expenses, Research Funding, Speakers Bureau; Onyx: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Other: Travel Expenses, Research Funding, Speakers Bureau. Venner:Amgen: Honoraria; Takeda: Honoraria; Celgene: Honoraria, Research Funding; J+J: Research Funding; Janssen: Honoraria. Hay:Amgen: Research Funding; Novartis: Research Funding; Janssen: Research Funding; Kite Pharmaceuticals: Research Funding.

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)0.002
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.043
GPT teacher head0.363
Teacher spread0.319 · 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 designNon-randomized trial
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

Citations20
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicMultiple Myeloma Research and TreatmentsFrench-language works237,207