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865 Combining radiotherapy with novel TLR-based immunotherapy for improved tumor control in lung cancer

2023· article· en· W4388089593 on OpenAlexaff
Ryma Haroun, Juan Pablo Ordoñez, Ayman Oweida

Bibliographic record

VenueRegular and Young Investigator Award Abstracts · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsStingCancer researchCancer immunotherapyImmunotherapyImmune systemProstate cancerCancerChemistryPharmacologyMedicineImmunologyInternal medicine

Abstract

fetched live from OpenAlex

<h3>Background</h3> STING agonists have become an attractive immunomodulatory approach to activate the cGAS-STING pathway for turning cold tumors hot and thereby improving the efficacy of Immune Checkpoint Inhibitors (ICI). However, considering their modest clinical efficacy, there is a substantial need for other approaches to activating the cGAS-STING pathway for cancer immunotherapy. Inhibition of the enzyme ENPP1, a negative regulator of the cGAS-STING pathway is one such approach. ENPP1 hydrolyses 2′3′- cGAMP (endogenous STING agonist) and negatively regulates STING dependent immune activation. Several tumors like human astrocyte tumors and TNBC like 4T1 and MDA-MB-231 have high ENPP1 expression which plays a key role in tumor progression and blocks T cell infiltration. ENPP1 not only abolishes the cGAS-STING mediated immune activation but also produces adenosine, an immune suppressor which promotes cell migration. AVA-NP-695 is a highly potent orally available small molecule ENPP1 inhibitor being developed for cancer immunotherapy. <h3>Methods</h3> Inhibition potencies of AVA-NP-695 were confirmed by enzymatic assays using substrates like <i>p</i>-Nitrophenyl-5′-TMP, 2’3’-cGAMP and ATP. The efficacy of AVA-NP-695 was demonstrated in 4T1 Tumor bearing BALB/c mice as monotherapy and in combination with anti-PD-L1, Olaparib and Paclitaxel. Efficacy of AVA-NP-695 in combination with radiation was also evaluated in ENPP1 overexpressing breast tumors. Finally, combination of PSMA-RLT with AVA-NP-695 was evaluated for treating prostate cancer. <h3>Results</h3> We demonstrate that AVA-NP-695, a selective and potent small molecule ENPP1 inhibitor showed no adverse effects at 1000 mg/kg BID in 14 day repeated dose toxicity in BALB/c mice, thereby demonstrating an excellent therapeutic window. Results from <i>in-vivo</i> studies have shown superior tumor growth inhibition (TGI) and impact on metastasis by AVA-NP-695 (6 mg/kg BID) compared to Olaparib and Anti-PD1 in a syngeneic 4T1 breast cancer mouse model. Subsequently, combination of AVA-NP-695 with Anti-PDL1, Olaparib and Paclitaxel demonstrated encouraging combinatorial efficacy of AVA-NP-695 along with Paclitaxel. Monotherapeutic arm for Paclitaxel and AVA-NP-695 depicted 40% and 44% TGI respectively; however their combined treatment resulted in ~60% TGI. Additionally, the AVA-NP-695 treatment alone showed 50% enhanced mean survival time followed by 68%, 68% and 72% when given in combination with anti-PD-L1, Olaparib and Paclitaxel respectively. Finally, combination of AVA-NP-695 with radiation (Fractionated dose and Targeted Radionuclide) demonstrated substantial tumor growth reduction across various tumor models. <h3>Conclusions</h3> The potent anti-tumor efficacy of AVA-NP-695 both as monotherapy and combination along with its safety profile provides a strong rationale for the therapeutic potential of AVA-NP-695 against solids tumors, particularly breast cancer. <h3>Ethics Approval</h3> All animal studies involved obtained the prerequisite ethics committee(s) approval.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.254
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.011
GPT teacher head0.256
Teacher spread0.245 · 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.

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
Published2023
Admission routes1
Has abstractyes

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