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      Conjunctival Melanoma Targeted Therapy: MAPK and PI3K/mTOR Pathways Inhibition

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          Most cited references63

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          Rapid colorimetric assay for cellular growth and survival: Application to proliferation and cytotoxicity assays

          A tetrazolium salt has been used to develop a quantitative colorimetric assay for mammalian cell survival and proliferation. The assay detects living, but not dead cells and the signal generated is dependent on the degree of activation of the cells. This method can therefore be used to measure cytotoxicity, proliferation or activation. The results can be read on a multiwell scanning spectrophotometer (ELISA reader) and show a high degree of precision. No washing steps are used in the assay. The main advantages of the colorimetric assay are its rapidity and precision, and the lack of any radioisotope. We have used the assay to measure proliferative lymphokines, mitogen stimulations and complement-mediated lysis.
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            Improved Survival with Ipilimumab in Patients with Metastatic Melanoma

            An improvement in overall survival among patients with metastatic melanoma has been an elusive goal. In this phase 3 study, ipilimumab--which blocks cytotoxic T-lymphocyte-associated antigen 4 to potentiate an antitumor T-cell response--administered with or without a glycoprotein 100 (gp100) peptide vaccine was compared with gp100 alone in patients with previously treated metastatic melanoma. A total of 676 HLA-A*0201-positive patients with unresectable stage III or IV melanoma, whose disease had progressed while they were receiving therapy for metastatic disease, were randomly assigned, in a 3:1:1 ratio, to receive ipilimumab plus gp100 (403 patients), ipilimumab alone (137), or gp100 alone (136). Ipilimumab, at a dose of 3 mg per kilogram of body weight, was administered with or without gp100 every 3 weeks for up to four treatments (induction). Eligible patients could receive reinduction therapy. The primary end point was overall survival. The median overall survival was 10.0 months among patients receiving ipilimumab plus gp100, as compared with 6.4 months among patients receiving gp100 alone (hazard ratio for death, 0.68; P<0.001). The median overall survival with ipilimumab alone was 10.1 months (hazard ratio for death in the comparison with gp100 alone, 0.66; P=0.003). No difference in overall survival was detected between the ipilimumab groups (hazard ratio with ipilimumab plus gp100, 1.04; P=0.76). Grade 3 or 4 immune-related adverse events occurred in 10 to 15% of patients treated with ipilimumab and in 3% treated with gp100 alone. There were 14 deaths related to the study drugs (2.1%), and 7 were associated with immune-related adverse events. Ipilimumab, with or without a gp100 peptide vaccine, as compared with gp100 alone, improved overall survival in patients with previously treated metastatic melanoma. Adverse events can be severe, long-lasting, or both, but most are reversible with appropriate treatment. (Funded by Medarex and Bristol-Myers Squibb; ClinicalTrials.gov number, NCT00094653.)
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              PD-1 blockade induces responses by inhibiting adaptive immune resistance

              Therapies that target the programmed death-1 (PD-1) receptor have shown unprecedented rates of durable clinical responses in patients with various cancer types. 1–5 One mechanism by which cancer tissues limit the host immune response is via upregulation of PD-1 ligand (PD-L1) and its ligation to PD-1 on antigen-specific CD8 T-cells (termed adaptive immune resistance). 6,7 Here we show that pre-existing CD8 T-cells distinctly located at the invasive tumour margin are associated with expression of the PD-1/PD-L1 immune inhibitory axis and may predict response to therapy. We analyzed samples from 46 patients with metastatic melanoma obtained before and during anti-PD1 therapy (pembrolizumab) using quantitative immunohistochemistry, quantitative multiplex immunofluorescence, and next generation sequencing for T-cell receptors (TCR). In serially sampled tumours, responding patients showed proliferation of intratumoural CD8+ T-cells that directly correlated with radiographic reduction in tumour size. Pre-treatment samples obtained from responding patients showed higher numbers of CD8, PD1, and PD-L1 expressing cells at the invasive tumour margin and inside tumours, with close proximity between PD-1 and PD-L1, and a more clonal TCR repertoire. Using multivariate analysis, we established a predictive model based on CD8 expression at the invasive margin and validated the model in an independent cohort of 15 patients. Our findings indicate that tumour regression following therapeutic PD-1 blockade requires pre-existing CD8+ T cells that are negatively regulated by PD-1/PD-L1 mediated adaptive immune resistance.
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                Author and article information

                Journal
                Investigative Opthalmology & Visual Science
                Invest. Ophthalmol. Vis. Sci.
                Association for Research in Vision and Ophthalmology (ARVO)
                1552-5783
                June 03 2019
                June 27 2019
                : 60
                : 7
                : 2764
                Affiliations
                [1 ]Department of Computational Biology, Unit of Medical Genetics, Lausanne University, Lausanne, Switzerland
                [2 ]Dermatology Unit, CHUV, Lausanne University, Lausanne, Switzerland
                [3 ]Ludwig Institute for Cancer Research, Epalinges, Switzerland
                [4 ]Jules-Gonin Eye Hospital, Lausanne University, FAA, Lausanne, Switzerland
                [5 ]Dermatology and Venerology Division, Dermatopathology Laboratory, Geneva University Hospital, Geneva, Switzerland
                [6 ]Experimental Pathology, Lausanne University Pathology Institute, Lausanne, Switzerland
                [7 ]Charité Cancer Comprehensive Center, Charité - Universitätsmedizin Berlin, Berlin, Germany
                [8 ]Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
                Article
                10.1167/iovs.18-26508
                31247083
                fa8223c9-4af4-4d0e-9fb0-85b2d21f41ba
                © 2019

                http://creativecommons.org/licenses/by-nc-nd/4.0/

                History

                Quantitative & Systems biology,Biophysics
                Quantitative & Systems biology, Biophysics

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