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Record W4405042301 · doi:10.1182/blood-2024-207919

Outcomes of Relapsed/Refractory Multiple Myeloma Patients Receiving Sequential Therapies after Exposure to T-Cell Redirected or BCMA-Targeted Novel Immunotherapies

2024· article· en· W4405042301 on OpenAlexaff
Rintu Sharma, Pamella Paul, Esther Masih‐Khan, Eshetu G. Atenafu, Harjot Vohra, Sita Bhella, Christine I. Chen, Vishal Kukreti, Guido Lancman, Donna Reece, A. Keith Stewart, Rodger E. Tiedemann, Chloe Yang, Suzanne Trudel

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsMedicineMultiple myelomaDaratumumabOncologyInternal medicineCarfilzomibRefractory (planetary science)LenalidomidePomalidomideImmunotherapyImmunologyCancer

Abstract

fetched live from OpenAlex

Background: Promising results have been seen in heavily pretreated myeloma patients (pts) after the use of novel T-cell redirected bispecifics targeting BCMA, GPRC5d or FcRH5 or anti-BCMA targeted immunotherapies (bispecifics, ADC or CAR T-cell products). There is paucity of data on outcomes of these pts after they relapse and require subsequent therapy. We aimed to analyse the clinical outcomes of relapsed refractory multiple myeloma (RRMM) pts who received sequential salvage therapy (T2) after exposure to initial T-cell redirected or BCMA-targeted novel immunotherapy (T1). Methods: Using the Princess Margaret Cancer Center REB-approved myeloma database, we identified RRMM patients who received salvage therapy (novel immunotherapy or conventional myeloma therapy) after initial exposure to investigational or commercial T-cell redirected or anti-BCMA targeted immunotherapy (T1). Patients who received subsequent novel immunotherapies were classified as double-exposed (DE) and those who received other treatments were classified as single exposed (SE). Overall survival (OS) and progression free survival (PFS) for T1 (PFS1, estimated from start to progression of T1) and T2 (PFS2, estimated from start of T1 to progression of T2) were estimated using Kaplan-Meier curves. Results: We identified 66 pts who were treated with T1 from April 2015 to April 2023 followed by sequential therapies. Median age at the time of T1 was 58 (range 41-78) years. Median number of prior lines of therapy before T1 was 4 (2-10). Forty-eight (72%) pts were triple-class refractory and 32% penta-refractory. Prior to starting T1, 47% (n=31/65) had high-risk cytogenetics, sixteen (24%) pts had extramedullary disease (EMD) while 18 (27%) had EMD prior to T2. Although DE patients were older (median age 60 vs 58 years), had more prior lines (6 vs 5) and had more EMD (36% vs 16%); differences were not statistically significant. Forty (60%) pts received anti-BCMA directed therapies as T1 [33 (50%) ADC, 5 (7.6%) bispecific antibodies and 2 (3%) CAR T cell therapy]. Amongst non-BCMA redirected T-cell therapies, FcRH5 targeting bispecific constituted the majority [24 (36%)] of pts and 2 (3%) pts had received an anti-GPRC5D bispecific. Overall response rate (ORR) to T1 was 51% (34/66). (35% >VGPR, 17% PR). Median time from T1-T2 was 8.7 (range 1.2- 63) months. The most common subsequent line of therapy was another novel immunotherapy. Thirty-six (54%) pts were DE with subsequent exposure to bispecific antibodies in 25 (38%) (12 anti-FcRH5, 7 anti-GPRC5D, 5 anti-BCMA; 1 anti-BCMA plus anti-GPRC5D), 8 BCMA targeting ADC and 3 anti-BCMA CAR T cell product. Amongst the SE pts (n=30), various doublet and triplet combinations were used. Most common drug combinations were with selinexor (16%), carfilzomib or bortezomib (14%), celmod (5%), chemotherapy (DPACE) in 5% including 1 pt who received stem cell support after melphalan. Pts who were DE had a trend towards significant better response rates after T2 compared to pts who received conventional non-immune myeloma treatments (>PR 69% vs 50%; p=0.082). On stratifying based on T1 response, DE pts treated with consecutive bispecifics (n=13), demonstrated an ORR to T2 of 84%. At a median follow-up of 22 months since T1 exposure, 37 (56%) had died with progression being the most common cause in 30 (81%) patients. PFS2 of the entire cohort was 18 months and superior in DE (24 months; 95% CI 17-42) compared to SE (11 months; 95%CI 7-15) pts. (p=0.024). For pts treated with anti-BCMA ADCs (n=33) or with anti-FcRH5 bispecific (n=24) at T1 the median PFS2 was 17 months (95%CI, 10-23) and 24 months (95%CI, 14-not reached), respectively. Median OS of the whole cohort was 27 months (95% CI, 20-78) with 1-year and 2-year OS of 83% and 57%. We analysed the factors predictive of OS after T1; pts with penta-refractory disease [median OS 21 months vs 35 months (non-penta-refractory); p=0.033] and high-risk cytogenetics [median OS 21 months vs 78 months (standard risk); p= 0.068] had significantly poor survival outcomes. Conclusions: Sequential use of T-cell redirected therapy or BCMA-targeted immunotherapies translated to improved OS and PFS2 rates in heavily pretreated RRMM. Penta-refractory disease and high-risk cytogenetics continue to portend poor outcomes. Use of novel T-cell directed therapies or anti-BCMA targeted agents should be encouraged where feasible instead of conventional doublet/ triplet therapies.

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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.273
Teacher spread0.254 · 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".

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Citations1
Published2024
Admission routes1
Has abstractyes

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