Abstract B007: Upregulation of PD-L1 as a mechanism of resistance to CD47 inhibition in non-small cell lung cancer
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".