MétaCan
Menu
Back to cohort

Abstract 3854: Preclinical characterization of a novel non-cyclic dinucleotide small molecule STING agonist with potent antitumor activity in mice

2019· article· en· W4237965765 on OpenAlexaff
Zezhou Wang, Peter Dove, David Manuel Folgado-de la Rosa, Bolette Bossen, Simone Helke, Marilyse Charbonneau, Laura Brinen, Karen Dodge, Gloria H. Y. Lin, Carole L. Galligan, Natasja Nielsen Viller, Mark Wong, Vivian Lee, Tina Catalano, Robert A. Uger, Malik Slassi, Jeff Winston

Bibliographic record

VenueExperimental and Molecular Therapeutics · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsTrillium Therapeutics (Canada)
Fundersnot available
KeywordsStingStimulator of interferon genesInnate immune systemImmune systemAgonistBiologyMedicineCancer researchImmunologyCell biologyReceptorInternal medicine

Abstract

fetched live from OpenAlex

The cGAS-STING pathway plays a pivotal role in sensing aberrant cytoplasmic DNA fragments derived from pathogens or host tumor cells and initiating an innate immune response. STING activation induces type I IFNs and a cascade of other pro-inflammatory cytokines that activate the innate immune system and subsequently recruit adaptive immune cells. STING functions as a key mediator bridging the innate and adaptive immune responses by stimulating anti-tumor antigen presentation and promoting effective T cell priming, thereby making STING activation an attractive target for cancer immunotherapy. Currently, all known STING agonists in clinical trials are based on a cyclic dinucleotide (CDN) scaffold. These molecules mimic the endogenous STING ligand cGAMP which displays limited potency and cell permeability. Here we present the preclinical characterization of a novel non-CDN small molecule STING agonist, TTI-10001.TTI-10001 exhibited potent and broad activity in a panel of HEK293T-STING reporter cell lines expressing each of the five human STING (hSTING) alleles or murine STING (mSTING). Activation of the STING pathway was confirmed by an increase of both phospho-STING and phospho-IRF3 after TTI-10001 treatment, and TTI-10001-dependent induction of reporter activity was ablated in the presence of an inhibitor of the downstream STING signaling kinase TBK1. TTI-10001 showed a favorable safety profile with no activity on hERG or major CYP450 isoforms and was well tolerated in mice with no weight loss or overt morbidity after repeat intratumoral administration. Mice dosed with TTI-10001 displayed increased levels of phospho-STING and phospho-IRF3 in tumors as well as elevated expression of various pro-inflammatory cytokines including IFNβ, TNFα, and IL-6. This in vivo activation of STING signaling correlated with significant anti-tumor activity in multiple syngeneic mouse tumor models.In summary, we have generated a novel non-CDN small molecule STING agonist with potent activity on the five hSTING alleles and mSTING. Our compound exhibits strong in vitro and in vivo induction of the STING pathway as well as potent anti-tumor activity. Taken together, these results highlight the potential of TTI-10001 and support further evaluation and development of this molecule as a novel cancer immunotherapy agent.Citation Format: Zezhou Wang, Peter Dove, David Rosa, Bolette Bossen, Simone Helke, Marilyse Charbonneau, Laura Brinen, Karen Dodge, Gloria H. Lin, Carole Galligan, Natasja N. Viller, Mark Wong, Vivian Lee, Tina Catalano, Robert A. Uger, Malik Slassi, Jeff Winston. Preclinical characterization of a novel non-cyclic dinucleotide small molecule STING agonist with potent antitumor activity in mice [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3854.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.043
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.021
GPT teacher head0.274
Teacher spread0.253 · 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 teacher head, 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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueExperimental and Molecular TherapeuticsSame topicinterferon and immune responsesFrench-language works237,207