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Abstract B007: Upregulation of PD-L1 as a mechanism of resistance to CD47 inhibition in non-small cell lung cancer

2024· article· en· W4403520012 on OpenAlexaff
Asa P. Y. Lau, Kelsie L. Thu

Bibliographic record

VenueCancer Immunology Research · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPhagocytosis and Immune Regulation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDownregulation and upregulationMechanism (biology)CancerPD-L1CD47Cancer researchMedicineLung cancerAcquired resistanceImmunotherapyImmunologyImmune systemBiologyOncologyInternal medicineBiochemistry

Abstract

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Abstract Introduction: Evasion of the immune system is a hallmark of cancer and understanding immune escape mechanisms has led to the development of immunotherapies to boost anti-tumor immunity. CD47 is an immunosuppressive protein that transduces a “don’t eat me” signal when bound to the SIRPα receptor on antigen presenting cells (APCs). Cancer cells exploit CD47 to block phagocytosis by APCs and dampen anti-tumor immune responses. Various inhibitors of the CD47-SIRPα signaling axis, including monoclonal antibodies, have been developed as immunotherapeutic agents for administering CD47 blockade in cancer patients, and are currently being evaluated in clinical trials. Understanding mechanisms of tumor resistance to CD47-targeted immunotherapy will guide its clinical development and could inform rational combination therapies to enhance its efficacy. Since CD47 is prognostically and functionally relevant in non-small cell lung cancer (NSCLC), we investigated the response of two syngeneic, murine lung cancer models to CD47 loss-of-function (LOF). Methods: CRISPR/Cas9 was used to knockout (KO) CD47 in two murine (LLC, CMT167) syngeneic models of NSCLC. Tumor growth studies were conducted in immune competent (C57BL/6) mice orthotopically implanted with wildtype (WT) or CD47 KO cells. Immunophenotyping of tumors was done prior to humane endpoints using flow cytometry to compare immune cell infiltration in WT versus CD47 KO tumors to assess lung tumor response to CD47 LOF. Results: Survival analyses of immunocompetent hosts with orthotopic LLC and CMT tumors revealed that mice with CD47 KO tumors lived longer than those with WT tumors, although CD47 KO tumors were ultimately lethal. Tumor immunophenotyping revealed higher frequencies of MHC-IIhighCD80+ M1 macrophages and activated cytotoxic CD69+CD8+ T cells in CD47 KO tumors compared to WT. Moreover, the percentage of PD-L1+ tumor and myeloid cells was greater in CD47 KO tumors compared to WT tumors, suggesting PD-L1 may be upregulated on various cell types in the TME as a compensation mechanism when CD47 is inhibited. Conclusion: Consistent with the literature, our findings show that CD47 LOF in lung cancer cells prolongs the survival of tumor-bearing mice and promotes infiltration of anti-tumor immune cells in two orthotopic, syngeneic NSCLC models. Upregulation of PD-L1 in cancer and myeloid cells from CD47 KO tumors was also observed, revealing a putative PD-L1-driven mechanism of resistance to CD47 blockade. Although additional preclinical and clinical studies are needed to confirm the generalizability of our observations and to validate them in patients treated with CD47-targeted therapy, our findings provide evidence to support continued development of approaches for combining CD47 and PD-L1 blockade as an effective immunotherapeutic strategy for the treatment of NSCLC. Citation Format: Asa P.Y Lau, Kelsie L Thu. Upregulation of PD-L1 as a mechanism of resistance to CD47 inhibition in non-small cell lung cancer [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor Immunology and Immunotherapy; 2024 Oct 18-21; Boston, MA. Philadelphia (PA): AACR; Cancer Immunol Res 2024;12(10 Suppl):Abstract nr B007.

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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 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 score0.063
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.350
Teacher spread0.318 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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