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Record W4417014706 · doi:10.1182/blood-2025-3924

Enhancing immunotherapy efficacy in myeloma with a novel dual-action mitochondrial toxic peptide that overcomes resistance and induces immunogenic cell death.

2025· article· en· W4417014706 on OpenAlexaff
Smriti Gurung, Colin Crean, David Halladay, Judith L. Anderson, John M. Chirgwin, Holly Lee, Nizar J. Bahlis, Kelvin P. Lee, Attaya Suvannasankha

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsOntario Institute for Cancer Research
Fundersnot available
KeywordsGranzymeCell cultureImmunotherapyT cellCytotoxicityGranzyme BViability assayImmune system

Abstract

fetched live from OpenAlex

Abstract Background T cell-engaging (TCE) immunotherapies have significantly improved outcomes in multiple myeloma (MM), but primary and acquired resistance limit their success. One key mechanism involves upregulation of PD-L1 on MM cells and PD-1 on T cells, leading to immune evasion and T cell exhaustion. Blocking PD-1/PD-L1 alone has limited clinical activity. We developed a novel dual-action therapeutic peptide, PP-k, that binds PD-L1 to block its interaction with PD-1 on T cells and delivers a mitochondrial-targeting proapoptotic peptide(klaklak)2, inducing direct toxic to PD-L1-expressing tumor cells. We explored the efficacy of PP-k in overcoming resistance to T cell engagers. Methods Standard MM cell lines (RPMI-8226 and H929), along with Teclistamab-resistant OPM2 and JJN3 cell lines (selected via prolonged Teclistamab exposure, an approved BCMA×CD3 bispecific antibody for relapsed MM), and their parental counterparts, were used. Cytotoxicity of PP-k was assessed using MTS assays. PP-k, Teclistamab, or their combination were evaluated in co-cultures of MM cells and healthy donor CD3⁺ T cells. For real-time monitoring, some MM cells were engineered to express GFP and secreted luciferase. Tumor cell viability was assessed by luciferase activity in conditioned media and flow cytometry, which was also used for T cell profiling. T cell activation was further measured by IFN-γ and Granzyme B secretion using ELISA. PP-k efficacy was also tested in a co-culture model with MM cells with mouse calvaria. In-vivo efficacy of PP-k was tested using NSG mice, subcutaneously implanted with human MM cells treated with PP-k (20 mg/kg, i.p.,5 doses). Results PP-k exhibited IC50 values of 8–15 µM across all cell lines. Notably, Teclistamab-resistant cells (OPM-2 and JJN3-TCE) retained PD-L1 expression levels comparable to sensitive lines and showed similar sensitivity to PP-k. In co-cultures, PP-k synergized with Teclistamab at below IC50 doses, enhancing CD8⁺ T cell activation and increasing IFN-γ/Granzyme B secretion. In a bone-mimetic coculture model (H929 cells + mouse calvaria + T cells), PP-k alone induced significant tumor elimination, underscoring its efficacy in a tumor microenvironment context. Strikingly, in T cell co-cultures with Teclistamab-resistant OPM-2-TCE and JJN3-TCE cells (which had low BCMA and were unresponsive to 0.03125-0.0625 nM Teclistamab), the combination of PP-k + Teclistamab overcame resistance, achieving near-complete tumor cell killing. While PP-k alone did not alter T cell profiles, it amplified Teclistamab-driven T cell activation. In vivo, PP-k monotherapy reduced H929 tumor burden in NSG mice. Mechanistic studies revealed that PP-k induced mitochondrial disruption and immunogenic cell death, evidenced by ATP release and calreticulin exposure. Conclusion PP-K enhances T cell-mediated killing of MM cells by blocking PD-1/PD-L1 suppression while directly inducing mitochondrial toxicity in tumor cells. It overcomes Teclistamab resistance in BCMA-low models and shows efficacy in bone-mimetic and xenograft systems. By combining immune checkpoint blockade with direct tumor cytotoxicity, PP-K represents a promising dual-function therapeutic strategy to overcome resistance and improve T cell-engaging therapies in multiple myeloma.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

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 integrity0.0000.001
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 head0.013
GPT teacher head0.245
Teacher spread0.232 · 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 designBench or experimental
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

Citations0
Published2025
Admission routes1
Has abstractyes

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