MétaCan
Menu
Back to cohort

Cyclophosphamide, Bortezomib and Dexamethasone (CyBorD) Induction Therapy For Newly Diagnosed Light Chain Amyloidosis

2013· article· en· W2533355107 on OpenAlexaff
Donna Reece, Madeline Phillips, Beryl Chung, Christine I. Chen, Esther Masih‐Khan, Rodger E. Tiedemann, Suzanne Trudel, Victor H. Jimenez‐Zepeda, Vishal Kukreti

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmyloidosis: Diagnosis, Treatment, Outcomes
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineBortezomibMaintenance therapyRegimenAL amyloidosisAutologous stem-cell transplantationMultiple myelomaPopulationMelphalanCyclophosphamideInternal medicineSurgeryTransplantationDexamethasoneOncologyGastroenterologyChemotherapyImmunology

Abstract

fetched live from OpenAlex

Abstract Previously, most younger and fit patients (pts) with light chain amyloidosis (AL) received upfront autologous stem cell transplantation (ASCT) -- without any preceding induction therapy-while older pts and/or those with significant organ dysfunction were given definitive therapy with oral melphalan + dexamethasone (mel + dex). Recently, bortezomib (btz) was shown to be effective in relapsed AL, and has increasingly been used earlier in the disease course. The CyBorD combination (weekly cyclophosphamide + btz + dex) is a highly effective induction regimen for newly diagnosed multiple myeloma pts, and has shown encouraging preliminary outcomes in AL. Over the last 2 years, we have been offering CyBorD induction to all newly diagnosed AL pts. CyBorD was either administered for: 1) 2-4 cycles to try to reduce the monoclonal plasma cell population while allowing time to arrange stem cell (SC) collection/transplant admission in eligible pts, or 2) 8 cycles to serve as primary therapy for transplant-ineligible pts; it was also hoped that some of these pts who responded to CyBorD might experience improved organ function over time and eventually be able to undergo SC collection and/or ASCT. In order to assess this approach, we retrospectively examined the relative efficacy of induction therapy with CyBorD compared to other btz-containing regimens and to mel + dex in AL pts. Methods Between 01/2009 and 06/2013, 43 pts with biopsy-confirmed AL were referred to Princess Margaret Cancer Centre and received induction therapy with ≥1 cycle of CyBorD (n=15), other btz therapies (n=10; btz alone in 2, btz + steroids in 6 and btz + mel + prednisone in 2), or mel + dex (n=18). CyBorD doses were individualized and consisted of weekly oral cyclophosphamide 300 mg/m2, bortezomib IV/SQ 1.3-1.5 mg/m2and dex 12-20 mg. Thirty-four pts are evaluable for hematologic (heme) responses; 4 had insufficient data, while 5 are too early to evaluate. Organ responses were assessed in 44 organ systems in 26 pts. Results Median age was 55 yrs (range 44-85). Organ involvement included cardiac in 65%, renal in 49% and ≥ 2 organs in 58%. Median troponin I level was <0.07 (range <0.07-1.57) and BNP 305.6 (range 212-1625.3). After induction, 22 pts (64.7%) achieved a heme response (≥ PR): 67%, 44%, and 75% in the CyBorD, btz-other, and mel + dex groups, respectively. Treatment with CyBorD yielded the highest percentage of ≥ VGPR (55.5%, compared with 22% in the btz-other and 31% in the mel + dex arms); corresponding CR rates were 11%, 22% and 6%, respectively. Median times to first/best heme responses for the 3 groups were 1.2/4.0 mos for CyBorD, 1.3/2.1 mos for btz-other, and 2.1/5.5 mos for mel + dex. Pts treated with CyBorD also experienced the highest percentage of organ improvement: 29% improvement in 21 evaluable organs, compared with 12.5% of 8 organs btz-other and 0% of 15 organs in the mel + dex group at the time of this analysis. The median time to first organ response was 3 mos for CyBorD and 0.9 mos for btz-other. Toxicities included peripheral neuropathy in 30% of those treated with CyBorD (gr 1/2 in 4 and gr 3 in 1 pt) vs 20% in those receiving btz-other (gr 1/2 in 1 and gr 3 in 1 pt) vs 0 with mel + dex. Among the mel + dex pts, 17% experienced gr 3/4 thrombocytopenia and 6% developed gr 3/4 neutropenia; 1 case of secondary AML was observed in this group. SCs have been collected in 15 pts (34.8%), including 9 who received CyBorD, 3 treated with btz-other and 3 treated with mel + dex. To date, 8 pts (18.6%) have undergone ASCT (5 after CyBorD and 3 after btz-other regimens). Twelve of 15 (80%) CyBorD pts are alive at a median of 10 mos (range 1-22), while 5/10 (50%) btz-other pts are surviving at a median of 7 mos (range 5-47) and 14/18 (77.7%) mel + dex pts are alive at a median of 25 mos (range 2-50) after starting induction therapy. Conclusions Treatment with CyBorD produced a high rate of ≥ VGPR, with a median time to first heme response of only 1.2 months; improvements in organ function, which typically occur later, were observed in a significant proportion of pts as well. CyBorD therefore compares favorably with mel + dex, and has the advantage of less myelosuppression and reliable SC collection. Longer follow-up is needed to determine the durability of remissions induced by CyBorD alone or followed by ASCT, as well as the number of initially transplant-ineligible pts who can eventually undergo this procedure if needed. Disclosures: Reece: Otsuka: Honoraria, Research Funding; BMS: Research Funding; Merck: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Millennium Pharmaceuticals: Research Funding; Celgene: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Onyx: Consultancy. Off Label Use: Use of bortezomib in light chain amyloidosis. Chen:Celgene Corporation: Consultancy, Honoraria, Research Funding. Tiedemann:Janssen: Honoraria; Celgene: Honoraria. Trudel:Celgene: Honoraria; GSK: Research Funding; Sanofi: Honoraria.

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)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.009
GPT teacher head0.239
Teacher spread0.230 · 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

Citations4
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicAmyloidosis: Diagnosis, Treatment, OutcomesFrench-language works237,207