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Record W4389248280 · doi:10.1182/blood-2023-190517

Immune and Genome Profiling of Myeloma Patients Treated with Sequential Immunotherapies Reveal Differential Non-Overlapping Mechanisms of Resistance

2023· article· en· W4389248280 on OpenAlexaff
Holly Lee, Sungwoo Ahn, Ranjan Maity, Noémie Leblay, Michael Durante, Bachisio Ziccheddu, Alexis Brake, Rémi Tilmont, Elie Barakat, Mansour Poorebrahim, Ola Landgren, Benjamin Diamond, Francesco Maura, Paola Neri, Nizar J. Bahlis

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCytotoxic T cellChimeric antigen receptorAntigenPeripheral blood mononuclear cellImmune systemMedicineImmunotherapyImmunologyCancer researchT cellBiologyIn vitroGenetics

Abstract

fetched live from OpenAlex

Chimeric antigen receptor T cells (CAR T) or bispecific T cell engagers (TCE) targeting multiple myeloma (MM) antigens result in deep responses in relapsed patients. Nevertheless, resistance invariably emerges requiring salvage treatments. Sequential therapies with CAR T or TCE, in patients with or without prior anti-BCMA therapy exposure, reported durable responses. However the genomic and molecular determinants of response to sequential immunotherapies are poorly defined. To define the molecular determinants of response to sequential immunotherapies we identified patients treated with more than one anti-BCMA or -GPRC5D (n=8) regimens. Bone marrow (BM) and peripheral blood (PB) mononuclear cells from these patients were collected prior to each therapy and at the time of progression. Sorted CD138+ cells were subjected to whole genome sequencing (WGS) or single cell CNV (scCNV) and single cell RNA (scRNA) analysis. CD3+ T cells were subjected to CITEseq and functional in vitro cytotoxicity assays. Patient 1 received anti-BCMA CAR T (Ide-cel) with VGPR lasting 7 months (mos) (Figure 1). He subsequently received elranatamab with no response. CITEseq profiling of T cells at progression post CAR T did not reveal expansion of exhausted cytotoxic or regulatory T cells. However, WGS and scCNV of MM cells identified biallelic TNFRSF17 deletion consistent with antigenic escape as cause of resistance. Patient 2 received Ide-cel (DOR = 3.5 mos) followed by elranatamab with no response. CD138+ MM cells retained BCMA expression and in vitro studies with in-house manufactured anti-BCMA CAR T efficiently eliminated his MM cells. Profiling of T cells showed terminal T cells exhaustion (CD45RA +, TOX +, TIGIT +, PDCD1 + and LAG3 +). In contrast to recipients of CAR T, antigenic loss was commonly observed post TCE therapy. Patient 3 received 3 sequential therapies with Ide-cel (DOR = 3 mos), teclistamab (DOR = 6 mos), and then talquetamab with daratumumab with an ongoing response of 11 mos. While T cell exhaustion was not observed, functional loss of BCMA on MM cells was detected post teclistamab, with 2 coexisting clones harboring TNFRSF17 extracellular domain mutations (p.Pro34del, or p.Ser30del) that abrogated teclistamab binding. Similarly in patient 4 progressing on elranatamab (DOR = 21 mos), there was no evidence of T cell exhaustion but rather acquired BCMA mutation (p.Pro34del) in MM cells. Consistent with fit T cells profile, he has an ongoing response (13+ mos) to talquetamab and daratumumab in his next line of therapy. Patient 5 with penta-refractory disease and high disease burden (> 90% BM infiltration) had no response to elranatamab, however achieved an ongoing sCR (DOR = 30 mos) with talquetamab, daratumumab and pomalidomide (Tal-DP). PB T cells did not show exhaustion at the time of progression on elranatamab. A similar pattern was observed in patient 6 with high disease burden and no response to teclistamab but achieved lasting VGPR to Tal-DP (DOR=24 mos) in the next line followed by an acquired biallelic loss of GPRC5D at progression. Patient 7 had a 17 mos remission to talquetamab and daratumumab and similarly to patient 6, he acquired biallelic loss of GPRC5D at progression. He subsequently received elranatamab with no response with elevated serum soluble BCMA (sBCMA=638 ng/ml) level and phenotypic and functional evidence of T cell exhaustion. Patients 5, 6 and 7 illustrate the impact of disease burden and the ensuing sBCMA sink effect on the efficacy of anti-BCMA TCEs. Lastly patient 8 had lasting remissions to elranatamab (DOR 13 mos) and subsequently to talquetamab (DOR 13 mos) with no evidence of T cells exhaustion but rather antigenic escape with acquired functional antigenic losses with clonal BCMA (p.Arg27Pro) and subsequently GPRC5D (p.Asp239Asn) mutation. Highlighting the lack of cross resistance between anti-BCMA therapies, our in vitro studies showed that while mutant BCMA (p.Ser30del or p.Pro34del) abrogated teclistamab mediated T cell killing, T cells transduced with teclistamab based scFv CAR retained cytolytic activity. Therefore, TCE resistance derived from BCMA mutations does not preclude retreatment with another anti-BCMA TCE or CAR T. We here describe variable non-overlapping mechanisms mediating resistance to sequential TCE and CAR T therapies. Dynamic surveillance for antigenic escape and functional evaluation of T cell fitness will optimize immunotherapy sequencing.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.014
GPT teacher head0.250
Teacher spread0.236 · 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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Citations8
Published2023
Admission routes1
Has abstractyes

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