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Journal ArticleDOI

Melanoma-intrinsic β-catenin signalling prevents anti-tumour immunity

Stefani Spranger, +2 more
- 11 May 2015 - 
- Vol. 523, Iss: 7559, pp 231-235
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TLDR
The mechanism by which tumour-intrinsic active β-catenin signalling results in T-cell exclusion and resistance to anti-PD-L1/anti-CTLA-4 monoclonal antibody therapy is identified, pointing to new candidate targets for immune potentiation.
Abstract
Melanoma treatment is being revolutionized by the development of effective immunotherapeutic approaches. These strategies include blockade of immune-inhibitory receptors on activated T cells; for example, using monoclonal antibodies against CTLA-4, PD-1, and PD-L1 (refs 3-5). However, only a subset of patients responds to these treatments, and data suggest that therapeutic benefit is preferentially achieved in patients with a pre-existing T-cell response against their tumour, as evidenced by a baseline CD8(+) T-cell infiltration within the tumour microenvironment. Understanding the molecular mechanisms that underlie the presence or absence of a spontaneous anti-tumour T-cell response in subsets of cases, therefore, should enable the development of therapeutic solutions for patients lacking a T-cell infiltrate. Here we identify a melanoma-cell-intrinsic oncogenic pathway that contributes to a lack of T-cell infiltration in melanoma. Molecular analysis of human metastatic melanoma samples revealed a correlation between activation of the WNT/β-catenin signalling pathway and absence of a T-cell gene expression signature. Using autochthonous mouse melanoma models we identified the mechanism by which tumour-intrinsic active β-catenin signalling results in T-cell exclusion and resistance to anti-PD-L1/anti-CTLA-4 monoclonal antibody therapy. Specific oncogenic signals, therefore, can mediate cancer immune evasion and resistance to immunotherapies, pointing to new candidate targets for immune potentiation.

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Cancer immunotherapy using checkpoint blockade

TL;DR: New-generation combinatorial therapies may overcome resistance mechanisms to immune checkpoint therapy, and evidence points to alterations that converge on the antigen presentation and interferon-γ signaling pathways.
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Gut microbiome influences efficacy of PD-1–based immunotherapy against epithelial tumors

Bertrand Routy, +76 more
- 05 Jan 2018 - 
TL;DR: It is found that primary resistance to ICIs can be attributed to abnormal gut microbiome composition, and Antibiotics inhibited the clinical benefit of ICIs in patients with advanced cancer.
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Primary, Adaptive, and Acquired Resistance to Cancer Immunotherapy.

TL;DR: As the molecular mechanisms of resistance to immunotherapy are elucidated, actionable strategies to prevent or treat them may be derived to improve clinical outcomes for patients.
References
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Journal ArticleDOI

Analyzing real-time PCR data by the comparative C(T) method.

TL;DR: This protocol provides an overview of the comparative CT method for quantitative gene expression studies and various examples to present quantitative gene Expression data using this method.
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RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

TL;DR: It is shown that accurate gene-level abundance estimates are best obtained with large numbers of short single-end reads, and estimates of the relative frequencies of isoforms within single genes may be improved through the use of paired- end reads, depending on the number of possible splice forms for each gene.
Journal ArticleDOI

ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data

TL;DR: The ANNOVAR tool to annotate single nucleotide variants and insertions/deletions, such as examining their functional consequence on genes, inferring cytogenetic bands, reporting functional importance scores, finding variants in conserved regions, or identifying variants reported in the 1000 Genomes Project and dbSNP is developed.
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An integrated map of genetic variation from 1,092 human genomes

TL;DR: It is shown that evolutionary conservation and coding consequence are key determinants of the strength of purifying selection, that rare-variant load varies substantially across biological pathways, and that each individual contains hundreds of rare non-coding variants at conserved sites, such as motif-disrupting changes in transcription-factor-binding sites.
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