| Literature DB >> 32916126 |
Catherine S Grasso1, Jennifer Tsoi2, Mykola Onyshchenko2, Gabriel Abril-Rodriguez2, Petra Ross-Macdonald3, Megan Wind-Rotolo3, Ameya Champhekar2, Egmidio Medina2, Davis Y Torrejon2, Daniel Sanghoon Shin2, Phuong Tran2, Yeon Joo Kim2, Cristina Puig-Saus4, Katie Campbell2, Agustin Vega-Crespo2, Michael Quist2, Christophe Martignier5, Jason J Luke6, Jedd D Wolchok7, Douglas B Johnson8, Bartosz Chmielowski2, F Stephen Hodi9, Shailender Bhatia10, William Sharfman11, Walter J Urba12, Craig L Slingluff13, Adi Diab14, John B A G Haanen15, Salvador Martin Algarra16, Drew M Pardoll11, Valsamo Anagnostou11, Suzanne L Topalian11, Victor E Velculescu11, Daniel E Speiser5, Anusha Kalbasi2, Antoni Ribas17.
Abstract
We analyze the transcriptome of baseline and on-therapy tumor biopsies from 101 patients with advanced melanoma treated with nivolumab (anti-PD-1) alone or combined with ipilimumab (anti-CTLA-4). We find that T cell infiltration and interferon-γ (IFN-γ) signaling signatures correspond most highly with clinical response to therapy, with a reciprocal decrease in cell-cycle and WNT signaling pathways in responding biopsies. We model the interaction in 58 human cell lines, where IFN-γ in vitro exposure leads to a conserved transcriptome response unless cells have IFN-γ receptor alterations. This conserved IFN-γ transcriptome response in melanoma cells serves to amplify the antitumor immune response. Therefore, the magnitude of the antitumor T cell response and the corresponding downstream IFN-γ signaling are the main drivers of clinical response or resistance to immune checkpoint blockade therapy.Entities:
Keywords: RNA-seq; anti-CTLA-4; anti-PD-1; biopsies; clinical trial; immune checkpoint blockade; immune exclusion; interferon-γ; resistance; response; transcriptomics
Mesh:
Substances:
Year: 2020 PMID: 32916126 PMCID: PMC7872287 DOI: 10.1016/j.ccell.2020.08.005
Source DB: PubMed Journal: Cancer Cell ISSN: 1535-6108 Impact factor: 31.743