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Abstract A047 Synergy between polarized dendritic cells, radiation and PD-1 blockade in effective treatment of rhabdomyosarcoma

2024· article· en· W4402267325 on OpenAlexaboutno aff
Ajay Gupta, Eoghan Connors, Michael T. Moser, Bryan M. Gillard, Katie Kokolus, Per Basse, Paweł Kaliński

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsBlockadeRhabdomyosarcomaMedicineCancer researchPD-L1CancerInternal medicineImmunotherapyPathologySarcomaReceptor

Abstract

fetched live from OpenAlex

Abstract Introduction: Clinical effectiveness of immune checkpoint inhibitor (ICI) therapy depends on tumor-infiltrating cytotoxic T lymphocytes (CTLs) resulting in the need for new tools to convert “cold” tumors which lack CTLs, into CTL-infiltrated “hot” tumors. Radiation therapy (RT) is known to modulate the solid tumor microenvironment (TME) and induce a systemic immune response via enhanced tumor antigen release, production of type I interferons (IFN), intratumoral attraction and activation of DCs, and enhanced tumor recognition by natural killer (NK) cells. Thus, local irradiation of a tumor can be advantageous for both the local treatment of a tumor as well as the prevention of distant metastases. Since previous studies have shown that RT can synergize with ICI and that IL-12 producing DCs administered intratumorally also impart a clinical advantage with ICI, we tested if ST-αDC1s, a DC type designed to produce high levels of IL-12 and CTL-attracting chemokines, can enhance the combination of RT plus anti-PD-1 therapy of mouse rhabdomyosarcoma. Methods: Mice (10-15 mice per group) were inoculated with syngeneic orthotopic (gastrocnemius) M3-9-M rhabdomyosarcoma. At day 13, when tumors reached ∼200 mm3, animals started RT with single fraction of 6 Gy (225 peak kVp) using the Precision X-Rad 320 irradiator. Four doses of anti-PD-1 treatment were given on days 13, 15, 18, and 20. ST-αDC1s were given intratumorally either early (Day 13) or late (Day 20). Surviving animals were challenged with 2.5x higher number of cancer cells on day 90-100 and followed for evidence of tumor recurrence. Results: Anti-PD1 treatment alone was not effective. Control groups receiving PBS injection or anti-PD-1 alone had no survivors at day 90, with most animals succumbing to tumors within 4 weeks. RT alone improved the outcomes, yielding 15% of day-90 survivors (2/13 animals). RT plus anti-PD-1 treatment increased the fraction of survivors to 54% (7/13 animals) , while RT plus anti-PD-1 and early ST-αDC1 treatment resulted in 70% of survivors (7/10 animals). Late ST-αDC1 treatment did not enhance the survival beyond the RT plus anti-PD1 combination. The correlative studies and rechallenge studies will be presented. Citation Format: Ajay Gupta, Eoghan Connors, Michael Moser, Bryan Gillard, Katie Kokolus, Per Basse, Pawel Kalinski. Synergy between polarized dendritic cells, radiation and PD-1 blockade in effective treatment of rhabdomyosarcoma [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pediatric Cancer Research; 2024 Sep 5-8; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl):Abstract nr A047.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.002
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.048
GPT teacher head0.398
Teacher spread0.350 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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