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      ctDNA detected by ddPCR reveals changes in tumour load in metastatic malignant melanoma treated with bevacizumab

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          Abstract

          Bevacizumab is included in an increasing number of clinical trials. To find biomarkers to predict and monitor treatment response, cancer and angiogenesis relevant mutations in tumour and circulating tumour DNA (ctDNA) were investigated in 26 metastatic melanoma patients treated with bevacizumab. Patients with >1% BRAF/NRAS ctDNA at treatment start had significantly decreased progression free survival (PFS) and overall survival (OS) (PFS: p = 0.019, median 54 vs 774 days, OS: p = 0.026, median 209 vs 1064 days). Patients with >1% BRAF/NRAS ctDNA during treatment showed similar results (PFS: p = 0.002, OS: p = 0.003). ≤1% BRAF/NRAS ctDNA and normal lactate dehydrogenase (LDH) levels both significantly predicted increased response to treatment, but BRAF/NRAS ctDNA was better at predicting response compared to LDH at treatment start (OR 16.94, p = 0.032 vs OR 4.57, p = 0.190), and at predicting PFS (HR 6.76, p = 0.002) and OS (HR 6.78, p = 0.002) during therapy. ctDNA BRAF p.V600D/E/K and NRAS p.G12V/p.Q61K/L/R were better biomarkers for response prediction than TERT promoter mutations (OR 1.50, p = 0.657). Next generation sequencing showed that all patients with ≥2 mutations in angiogenesis-relevant genes had progressive disease, but did not reveal other biomarkers identifying responders. To conclude, ctDNA and LDH are useful biomarkers for both monitoring and predicting response to bevacizumab.

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          Mutant p53: one name, many proteins.

          There is now strong evidence that mutation not only abrogates p53 tumor-suppressive functions, but in some instances can also endow mutant proteins with novel activities. Such neomorphic p53 proteins are capable of dramatically altering tumor cell behavior, primarily through their interactions with other cellular proteins and regulation of cancer cell transcriptional programs. Different missense mutations in p53 may confer unique activities and thereby offer insight into the mutagenic events that drive tumor progression. Here we review mechanisms by which mutant p53 exerts its cellular effects, with a particular focus on the burgeoning mutant p53 transcriptome, and discuss the biological and clinical consequences of mutant p53 gain of function.
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            Mutational and putative neoantigen load predict clinical benefit of adoptive T cell therapy in melanoma

            Adoptive T-cell therapy (ACT) is a highly intensive immunotherapy regime that has yielded remarkable response rates and many durable responses in clinical trials in melanoma; however, 50–60% of the patients have no clinical benefit. Here, we searched for predictive biomarkers to ACT in melanoma. Whole exome- and transcriptome sequencing and neoantigen prediction were applied to pre-treatment samples from 27 patients recruited to a clinical phase I/II trial of ACT in stage IV melanoma. All patients had previously progressed on other immunotherapies. We report that clinical benefit is associated with significantly higher predicted neoantigen load. High mutation and predicted neoantigen load are significantly associated with improved progression-free and overall survival. Further, clinical benefit is associated with the expression of immune activation signatures including a high MHC-I antigen processing and presentation score. These results improve our understanding of mechanisms behind clinical benefit of ACT in melanoma.
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              Circulating tumor DNA to monitor treatment response and detect acquired resistance in patients with metastatic melanoma

              Repeat tumor biopsies to study genomic changes during therapy are difficult, invasive and data are confounded by tumoral heterogeneity. The analysis of circulating tumor DNA (ctDNA) can provide a non-invasive approach to assess prognosis and the genetic evolution of tumors in response to therapy. Mutation-specific droplet digital PCR was used to measure plasma concentrations of oncogenic BRAF and NRAS variants in 48 patients with advanced metastatic melanoma prior to treatment with targeted therapies (vemurafenib, dabrafenib or dabrafenib/trametinib combination) or immunotherapies (ipilimumab, nivolumab or pembrolizumab). Baseline ctDNA levels were evaluated relative to treatment response and progression-free survival (PFS). Tumor-associated ctDNA was detected in the plasma of 35/48 (73%) patients prior to treatment and lower ctDNA levels at this time point were significantly associated with response to treatment and prolonged PFS, irrespective of therapy type. Levels of ctDNA decreased significantly in patients treated with MAPK inhibitors (p < 0.001) in accordance with response to therapy, but this was not apparent in patients receiving immunotherapies. We show that circulating NRAS mutations, known to confer resistance to BRAF inhibitors, were detected in 3 of 7 (43%) patients progressing on kinase inhibitor therapy. Significantly, ctDNA rebound and circulating mutant NRAS preceded radiological detection of progressive disease. Our data demonstrate that ctDNA is a useful biomarker of response to kinase inhibitor therapy and can be used to monitor tumor evolution and detect the early appearance of resistance effectors.
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                Author and article information

                Contributors
                oddbjorn.straume@helse-bergen.no
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                25 November 2019
                25 November 2019
                2019
                : 9
                : 17471
                Affiliations
                [1 ]ISNI 0000 0000 9753 1393, GRID grid.412008.f, Department of Internal Medicine, Hematology Section, , Haukeland University Hospital, ; Bergen, Norway
                [2 ]ISNI 0000 0000 9753 1393, GRID grid.412008.f, Department of Medical Genetics, , Haukeland University Hospital, ; Bergen, Norway
                [3 ]ISNI 0000 0004 1936 7443, GRID grid.7914.b, Department of Biosciences, , University of Bergen, ; Bergen, Norway
                [4 ]ISNI 0000 0004 1936 7443, GRID grid.7914.b, Centre of Cancer Biomarkers, CCBIO, Department of Clinical Science, , University of Bergen, ; Bergen, Norway
                [5 ]ISNI 0000 0000 9753 1393, GRID grid.412008.f, Department of Oncology, , Haukeland University Hospital, ; Bergen, Norway
                [6 ]ISNI 0000 0004 0389 8485, GRID grid.55325.34, Department of Tumour Biology, , Institute for Cancer Research, Oslo University Hospital, ; Oslo, Norway
                [7 ]ISNI 0000 0004 0389 8485, GRID grid.55325.34, Norwegian Cancer Genomics Consortium, , Institute for Cancer Research, The Norwegian Radium Hospital/Oslo University Hospital, ; Oslo, Norway
                [8 ]ISNI 0000 0004 0389 8485, GRID grid.55325.34, Genomics Core Facility, Department of Core Facilities, , Oslo University Hospital, ; Oslo, Norway
                [9 ]ISNI 0000 0004 1936 7443, GRID grid.7914.b, K.G. Jebsen Center for Genome Directed Cancer Therapy, Department of Clinical Science, , University of Bergen, ; Bergen, Norway
                Author information
                http://orcid.org/0000-0001-9358-9704
                Article
                53917
                10.1038/s41598-019-53917-5
                6877652
                31767937
                377adb70-ba27-47af-8ccd-a7517d4e3192
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 November 2018
                : 5 November 2019
                Funding
                Funded by: Norwegian Health West Strategic Funding, Grant number 912009
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                prognostic markers,tumour biomarkers
                Uncategorized
                prognostic markers, tumour biomarkers

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