MétaCan
Menu
Back to cohort
Record W3083291269 · doi:10.1158/1538-7445.am2020-2206

Abstract 2206: Degradation of hyaluronan in the tumor microenvironment enhances oncolytic reovirus and anti-PD-L1 therapy in a murine syngeneic breast tumor model

2020· article· en· W3083291269 on OpenAlexaff
Ji‐Sook Lee, Grey Wilkinson, Trevor Kimbler, Barbara Blouw, Curtis B. Thompson

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Research and Treatments
Canadian institutionsOncolytics Biotech (Canada)
Fundersnot available
KeywordsTumor microenvironmentOncolytic virusCancer researchImmunotherapyCytotoxic T cellCD8MedicineImmune systemCombination therapyImmune checkpointCancer immunotherapyImmunologyChemistryInternal medicineIn vitro

Abstract

fetched live from OpenAlex

Abstract The extracellular matrix (ECM) structure heavily influences tumor growth, invasion and various steps of the cancer-immunity cycle. Hyaluronan (HA), a major component of ECM, is a glycosaminoglycan that accumulates in the tumor microenvironment (TME) of many solid tumor types, and HA accumulation can restrict T cell infiltration and promote immunosuppression. We have demonstrated in preclinical tumor models that enzymatic degradation of TME HA by intravenous PEGylated recombinant human hyaluronidase PH20 (Pegvorhyaluronidase alfa, PEGPH20) facilitates delivery of chemotherapeutics to tumors and enhances efficacy of current immunotherapy strategies including checkpoint inhibitors. In this study, we hypothesized that degradation of HA with PEGPH20 treatment may remodel the TME to improve the efficacy of oncolytic reovirus therapy (pelareorep) and checkpoint blockade therapy. To test this hypothesis, EMT6 murine breast tumor cells, which spontaneously accumulate HA and are sensitive to oncolytic activity of pelareorep were implanted orthotopically into the mammary fat pad of BALB/c mice. In this model, PEGPH20 treatment resulted in a reduction of HA measured by immunohistochemistry and induced tumor growth inhibition (30% TGI). Pelareorep plus anti-PD-L1 treatment also resulted in anti-tumor activity (44% TGI), and flow cytometric analysis of tumor infiltrating immune cells in pelareorep + anti-PD-L1-treated tumors demonstrated a significant increase in the numbers of cytotoxic CD8+ tumor infiltrating lymphocytes (TILs, p=0.0004), a decrease in regulatory T cells (T reg, p<0.0001) and an increase in CD8:Treg ratio (p=0.0018), indicating a robust antitumor immune response. Combination of PEGPH20 with pelareorep + anti-PD-L1 resulted in enhanced anti-tumor activity (71% TGI) compared to either PEGPH20 (30%TGI) or pelareorep + anti-PD-L1 (44% TGI). PEGPH20 in combination with pelareorep + anti-PDL1 also extended survival (median survival time, MST- 30 days, p<0.0001) in comparison with PEGPH20 alone (MST-21 days) or pelareorep + anti-PD-L1 (MST-22 days). Our data demonstrate the potential for matrix modeling through degradation of HA as a strategy to improve oncolytic reovirus + anti-PD-L1 immunotherapy. These findings are consistent with prior preclinical studies and support clinical evaluation of combining PEGPH20 with immune checkpoint inhibitors in HA-accumulating tumors. Citation Format: Jisook Lee, Grey A. Wilkinson, Trevor Kimbler, Barbara Blouw, Curtis B. Thompson. Degradation of hyaluronan in the tumor microenvironment enhances oncolytic reovirus and anti-PD-L1 therapy in a murine syngeneic breast tumor model [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 2206.

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 score0.183
Threshold uncertainty score0.393

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 head0.055
GPT teacher head0.360
Teacher spread0.305 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueCancer ResearchSame topicCancer Research and TreatmentsFrench-language works237,207