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Record W4413872129 · doi:10.1136/jitc-2024-011331

Nanofilament immunotherapy induces potent antitumor vaccine responses

2025· article· en· W4413872129 on OpenAlexafffund
Kevin Neil, Samuel Génier, J Douchin, Hugo Giguère, Lauren Daniel, Melina Gonzalez, Vincent Quoc‐Huy Trinh, Lee‐Hwa Tai, Sébastien Rodrigue, Jean‐François Millau

Bibliographic record

VenueJournal for ImmunoTherapy of Cancer · 2025
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsCentre Hospitalier de l’Université de MontréalInstitute for Research in Immunology and CancerUniversité de MontréalUniversité de Sherbrooke
FundersGénome Québec
KeywordsMedicineImmunotherapyImmunologyCancer researchPharmacologyImmune system

Abstract

fetched live from OpenAlex

BACKGROUND: Checkpoint inhibitors revolutionized cancer treatment by potentiating antitumor immune responses. However, many patients do not respond to these therapies, often due to the lack of a pre-existing immune response against cancer cells. Developing immunotherapies that promote cancer-cell antigen recognition, and the initiation of antitumor immune responses could thus improve response rates. METHODS: We established multimodal nanofilament immunotherapy as an antigen-agnostic in situ cancer vaccine modality. Through genetic engineering of the M13 bacteriophage, nanofilaments displaying combinations of therapeutic agents were generated to guide immune recognition and response against cancer cells. TAT003 is a multimodal nanofilament combining the natural adjuvant properties of M13 with the display of both anti-PD-L1 single-chain antibody fragments (scFvs) and interleukin-2 (IL-2) molecules. It was developed to bind to the surface of cancer cells and transform them into immunological targets. After validation of TAT003's biological activities in vitro and assessment of its biodistribution, its potency was evaluated after intratumoral administration in murine syngeneic tumor models, both as a single agent and in combination with Programmed Death protein 1 (PD-1) blockade therapy. In addition, the mechanism of action of TAT003 was characterized using cytokine and immune profiling and T-cell activation assays. RESULTS: TAT003 nanofilaments displayed several copies of biologically active anti-Programmed Death ligand 1 (PD-L1) and IL-2 molecules. On intratumoral injection, TAT003 attached durably to the tumor, thus limiting systemic exposure to the drug. TAT003 profoundly remodeled the tumor microenvironment of injected lesions, where it initiated a robust myeloid-cell infiltrate, and promoted the invasion of non-injected, contralateral lesions by T cells. This translated into potent regression of both injected and non-injected tumors in several cancer models, and potentiated PD-1 blockade therapy. TAT003 treatment induced the expansion of cancer-cell specific effector T cells systemically, providing a long-lasting antitumor vaccine response. CONCLUSIONS: Multimodal nanofilament immunotherapy is a novel approach to mounting systemic antitumor immune responses in situ by physically attaching large immunostimulatory molecules to cancer cells. TAT003 induced marked tumor regression by leveraging synergies between therapeutic agents displayed on its surface while offering a favorable tolerability profile. The results presented here establish multimodal nanofilaments as an innovative and versatile immunotherapy platform for developing in situ cancer vaccines.

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 score0.003

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 head0.030
GPT teacher head0.408
Teacher spread0.378 · 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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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