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Record W4310096555 · doi:10.1182/blood-2022-167804

High Metabolic Tumor Volume Is Associated with Higher Toxicity and Decreased Efficacy of BCMA CAR-T Cell Therapy in Multiple Myeloma

2022· article· en· W4310096555 on OpenAlexaff
Ricardo Villanueva, Doris K. Hansen, Rolf Petter Tonseth, Kenneth L. Gage, Zhouping Wei, Gabriel De Avila, Rachid Baz, Ariel Grajales‐Cruz, Omar Castañeda Puglianini, Brandon Blue, Jason Brayer, Kenneth H. Shain, Melissa Alsina, Hien Liu, Taiga Nishihori, Meghan Menges, Frederick L. Locke, Yoganand Balagurunathan, Ciara L. Freeman

Bibliographic record

VenueBlood · 2022
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsMedicineMultiple myelomaBone marrowChimeric antigen receptorInternal medicineOncologyLenalidomideCohortChemotherapyCancerImmunotherapy

Abstract

fetched live from OpenAlex

Background Recently, two chimeric antigen receptor T-cell (CAR-T) constructs have been FDA approved for relapsed/refractory multiple myeloma (RRMM) after exposure to at least 4 prior lines of therapy. High tumor burden has been associated with inferior outcomes, reduced CAR-T expansion and higher rates of toxicity. Patients relapsing after multiple lines of therapy more frequently have oligosecretory and extra-medullary disease that may not be well captured by serum-based markers of disease or bone marrow infiltration, respectively. Functional imaging with FDG-PET is well established as a useful tool in patients with myeloma but its prognostic impact in highly refractory patients or those proceeding with CAR-T has not been described. Metabolic tumor volume (MTV) capturing all metabolically active disease can be useful as a more global assessment of disease burden. We sought to evaluate tumor burden as measured by MTV in a cohort of patients presenting for anti-BCMA CAR-T with RRMM. Methods We identified all patients presenting to our center treated with anti-BCMA CAR-T with available restaging imaging performed within 60 days prior to lymphodepleting chemotherapy (LD-chemo). Baseline skull to midthigh with or without leg/whole-body 18F-FDG PET/CT scans were evaluated for MTV using a custom tool implemented on MIM PACS version 7.1 (MIM Software, Cleveland, OH) as previously reported (Dean et al, Blood Adv 2020). Briefly, images were semi-automatically analyzed to identify abnormal regions with reference to average metabolic activity of normal liver defined by PET SUV. Metabolically active volume at the lesion level were converged based on PERCIST criteria (41% of SUVmax). Summation of the metabolically active volumes across the human body is reported as the Metabolically Tumor Volume (MTV), measured in ml. Patient image scans were reviewed centrally by a radiologist blinded to outcomes, who removed any false positive uptake unrelated to metabolically active disease. Patients with the following FISH cytogenetics were considered high risk (HR): t(4;14), t(14;16) and deletion 17p/monosomy 17 whereas the remainder were standard risk (SR). The high and low tumor volume groups were selected based on the median MTV value in cohort. Baseline laboratory tests (e.g. beta2 microglobulin (b2M), C-reactive protein (CRP)) and repeat bone marrow biopsy were obtained prior to LD-chemo. Soluble BCMA (sBCMA) was measured by ELISA on patients with available serum samples (R&D Systems, MN, USA #DY193). All analyses were conducted in Stata (16.1, StataCorp LLC, College Station, TX). Results The study cohort consisted of 66 patients. Median age was 65 years (range 36 - 81), 55% were male, 55% had ECOG 0-1 prior to LD-chemo and 65% received bridging therapy. 25 (38%) were categorized as HR based on FISH cytogenetics. Patients had received a median of 6 prior lines of therapy and median interval between PET and date of CART infusion was 14.5 days (range 2-54). Median MTV was 26.3ml (0.26-1073.87ml) and only 3/66 (5%) had no measurable PET-avid lesions captured by this algorithm. Patients with high MTV (>26) were more likely to have elevated baseline CRP >0.5mg/dL (p=0.007) and receive bridging therapy (60% vs 40%, p=0.02). MTV correlated with sBCMA levels on day -6 (r=0.82, p=0.003), and with baseline b2M (r=0.47, p=0.005), but MTV did not correlate well with percentage plasma cells in pre-CAR-T bone marrow biopsy (r=0.12, p=0.3). The risk of ³G2 CRS was significantly higher (44% vs 12%, p=0.02) and any grade ICANS was numerically higher (27% vs 12%, p=0.1) in those with high vs low MTV, respectively. Finally, fewer patients with high MTV achieved CR by D30 (19% vs 31%, p=0.2) and with limited follow up 12/14 (86%) of deaths had occurred in patients with high baseline MTV (p=0.003). Conclusion These preliminary data confirm the added value of MTV calculated from baseline imaging as part of standard of care in patients with heavily pre-treated relapsed myeloma presenting for anti-BCMA CAR-T therapy. MTV correlated highly with sBCMA measured at day-6 and may be more representative for risk assessment than basing burden on bone marrow plasma cell percentage, which has not demonstrated a consistent relationship in predicting adverse events to date. High MTV appears to be associated with an increased risk of CAR-T specific adverse events and inferior outcomes and warrants further investigation. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.253
Teacher spread0.234 · 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.

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

Citations16
Published2022
Admission routes1
Has abstractyes

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