Nanofilament immunotherapy induces potent antitumor vaccine responses
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".