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Journal ArticleDOI

MHC proteins confer differential sensitivity to CTLA-4 and PD-1 blockade in untreated metastatic melanoma

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TLDR
It is shown that MHC class I expression in advanced melanoma predicted resistance to anti–CTLA-4, but not anti-PD-1, treatment, which may need MHCclass II to be effective, which explains why patients on combined therapy do better on average, with one drug overcoming the limitations of the other.
Abstract
Combination anti–cytotoxic T lymphocyte antigen 4 (CTLA-4) and anti–programmed cell death protein 1 (PD-1) therapy promotes antitumor immunity and provides superior benefit to patients with advanced-stage melanoma compared with either therapy alone. T cell immunity requires recognition of antigens in the context of major histocompatibility complex (MHC) class I and class II proteins by CD8+ and CD4+ T cells, respectively. We examined MHC class I and class II protein expression on tumor cells from previously untreated melanoma patients and correlated the results with transcriptional and genomic analyses and with clinical response to anti–CTLA-4, anti–PD-1, or combination therapy. Most (>50% of cells) or complete loss of melanoma MHC class I membrane expression was observed in 78 of 181 cases (43%), was associated with transcriptional repression of HLA-A, HLA-B, HLA-C, and B2M, and predicted primary resistance to anti–CTLA-4, but not anti–PD-1, therapy. Melanoma MHC class II membrane expression on >1% cells was observed in 55 of 181 cases (30%), was associated with interferon-γ (IFN-γ) and IFN-γ–mediated gene signatures, and predicted response to anti–PD-1, but not anti–CTLA-4, therapy. We conclude that primary response to anti–CTLA-4 requires robust melanoma MHC class I expression. In contrast, primary response to anti–PD-1 is associated with preexisting IFN-γ–mediated immune activation that includes tumor-specific MHC class II expression and components of innate immunity when MHC class I is compromised. The benefits of combined checkpoint blockade may be attributable, in part, to distinct requirements for melanoma-specific antigen presentation to initiate antitumor immunity.

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Citations
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The evolving landscape of biomarkers for checkpoint inhibitor immunotherapy

TL;DR: A better understanding of how these variables cooperate to affect tumour–host interactions is needed to optimize the implementation of precision immunotherapy.
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Cancer immunoediting and resistance to T cell-based immunotherapy

TL;DR: How a deeper understanding of the mechanisms underlying the cancer immunoediting process can provide insight into the development of resistance to immunotherapies and the strategies that can be used to overcome such resistance is discussed.
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Tumour-intrinsic resistance to immune checkpoint blockade.

TL;DR: How tumour cells can resist immune checkpoint blockade, for example, by resistance to interferon signalling and through immune-evasive oncogenic signalling pathways is described.
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Integrative molecular and clinical modeling of clinical outcomes to PD1 blockade in patients with metastatic melanoma

TL;DR: In this paper, the authors analyzed a clinically annotated cohort of patients with melanoma treated with anti-PD1 ICB, with whole-exome and whole-transcriptome sequencing of pre-treatment tumors.
References
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limma powers differential expression analyses for RNA-sequencing and microarray studies

TL;DR: The philosophy and design of the limma package is reviewed, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described.
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