Agonist antibodies targeting the T-cell costimulatory receptor 4-1BB (CD137) are among the most effective immunotherapeutic agents across preclinical cancer models. In the clinic, however, development of these agents has been hampered by dose-limiting liver toxicity. Lack of knowledge of the mechanisms underlying this toxicity has limited the potential to separate 4-1BB agonist-driven tumor immunity from hepatotoxicity. The capacity of 4-1BB agonist antibodies to induce liver toxicity was investigated in immunocompetent mice, with or without coadministration of checkpoint blockade, via (i) measurement of serum transaminase levels, (ii) imaging of liver immune infiltrates, and (iii) qualitative and quantitative assessment of liver myeloid and T cells via flow cytometry. Knockout mice were used to clarify the contribution of specific cell subsets, cytokines, and chemokines. We find that activation of 4-1BB on liver myeloid cells is essential to initiate hepatitis. Once activated, these cells produce interleukin-27 that is required for liver toxicity. CD8 T cells infiltrate the liver in response to this myeloid activation and mediate tissue damage, triggering transaminase elevation. FoxP3 regulatory T cells limit liver damage, and their removal dramatically exacerbates 4-1BB agonist-induced hepatitis. Coadministration of CTLA-4 blockade ameliorates transaminase elevation, whereas PD-1 blockade exacerbates it. Loss of the chemokine receptor CCR2 blocks 4-1BB agonist hepatitis without diminishing tumor-specific immunity against B16 melanoma. 4-1BB agonist antibodies trigger hepatitis via activation and expansion of interleukin-27-producing liver Kupffer cells and monocytes. Coadministration of CTLA-4 and/or CCR2 blockade may minimize hepatitis, but yield equal or greater antitumor immunity. .
BackgroundThe combination of ISA101, a human papilloma virus (HPV) 16 peptide vaccine, and nivolumab showed a promising response rate of 33% in patients with incurable HPV-16+ cancer. Here we report long-term clinical outcomes and immune correlates of response.MethodsPatients with advanced HPV-16+ cancer and less than two prior regimens for recurrence were enrolled to receive ISA101 (100 µg/peptide) on days 1, 22, and 50 and nivolumab 3 mg/kg every 2 weeks beginning day 8 for up to 1 year. Baseline tumor samples were stained with multiplex immunofluorescence for programmed death-ligand 1 (PD-L1), programmed cell death protein-1 (PD-1), CD3, CD8, CD68, and pan-cytokeratin in a single panel and scanned with the Vectra 3.0 multispectral microscope. Whole transcriptome analysis of baseline tumors was performed with Affymetrix Clariom D arrays. Differential gene expression analysis was performed on responders versus non-responders.ResultsTwenty-four patients were followed for a median of 46.5 months (95% CI, 46.0 months to not reached (NR)). The median duration of response was 11.2 months (95% CI, 8.51 months to NR); three out of eight (38%) patients with objective response were without progression at 3 years. The median and 3-year overall survival were 15.3 months (95% CI, 10.6 months to 27.2 months) and 12.5% (95% CI, 4.3% to 36%), respectively. The scores for activated T cells ((CD3+PD-1+)+(CD3+CD8+PD-1+)), activated cytotoxic T cells (CD3+CD8+PD-1+), and total macrophage ((CD68+PD-L1−)+(CD68+PD-L1+)) in tumor were directly correlated with clinical response (p<0.05) and depth of response with the two complete response patients having the highest degree of CD8+ T cells. Gene expression analysis revealed differential regulation of 357 genes (≥1.25 fold) in non-responders versus responders (p<0.05). Higher expression of immune response, inflammatory response and interferon-signaling pathway genes were correlated with clinical response (p<0.05).ConclusionsEfficacy of ISA101 and nivolumab remains promising in long-term follow-up. Increased infiltration by PD-1+ T cells and macrophages was predictive of response. Enrichment in gene sets associated with interferon-γ response and immune infiltration strongly predicted response to therapy. A randomized trial is ongoing to test this strategy and to further explore correlates of immune response with combined nivolumab and ISA101, versus nivolumab alone.Trial registration numberNCT02426892.
High-risk human papillomavirus (HPV)-associated squamous cell carcinomas of the oropharynx (SCCOP) are among the fastest growing cancers. After standard-of-care treatment, however, patients with HPV SCCOP have better overall and disease-specific survival than patients with HPV SCCOP, suggesting the importance of HPV-specific immunity. We reasoned that therapeutic vaccination targeting the HPV-16 E6 and E7 oncogenes could elicit high-affinity, high-frequency tumor antigen-specific T-cell responses, which could then be augmented and shielded from suppression in the tumor microenvironment by immune checkpoint modulation. In this study, we used a preclinical syngeneic mouse model of oral cancer comprised of mouse tonsil-derived epithelial cells stably expressing HPV-16 E6 and E7 genes along with H-ras oncogene (mEER) to identify combinations of vaccination and checkpoint antibodies capable of promoting tumor regression. Intranasal HPV E6/E7 peptide vaccination and single checkpoint antibodies failed to elicit responses in more than half of animals; however, 4-1BB agonist antibody along with either CD40 agonist antibody or CTLA-4 blockade eliminated the majority of established mEER tumors. The combination of intranasal HPV peptide vaccine and α4-1BB and αCTLA-4 antibodies produced curative efficacy and a better safety profile against orally implanted mEER tumors. Correlates of protective immunity included enhanced intratumoral levels of CD8 T cells relative to immunosuppressive regulatory T cells and myeloid-derived suppressor cells. Overall, our results demonstrate combination vaccine-immunotherapy modalities as novel treatment options for HPV SCCOP. Combinations of vaccine and checkpoint modulation are effective and safe treatment options for HPV oral cancers. .
BackgroundThere has been a dramatic increase in T cell receptor (TCR) sequencing spurred, in part, by the widespread adoption of this technology across academic medical centers and by the rapid commercialization of TCR sequencing. While the raw TCR sequencing data has increased, there has been little in the way of approaches to parse the data in a biologically meaningful fashion. The ability to parse this new type of 'big data' quickly and efficiently to understand the T cell repertoire in a structurally relevant manner has the potential to open the way to new discoveries about how the immune system is able to respond to insults such as cancer and infectious diseases.
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