11 research outputs found

    Student Recital (December 12, 2012)

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    What Good Would the Moon Be / Kurt Weill Jordan Ennis, soprano Concerto / Nikolai Rimsky-Korsakov Andante Cantabile Sage Lewis, trombone Du bist wie eine Blume, Op. 25, No. 24 / Robert Schumann Long Time Ago / Aaron Copland Richard Moran, tenor Estudios Sencillos / Leo Brouwer Five Studies / Fredric Hand Nolan Driscoll, guitar Study No. 7 in A minor / Matteo Carcassi Jeremy Place, guitar Concerto no. 3 in G, K. 216 / Wolfgang Amadeus Mozart Allegro Carla Mason, violin Etude No. 14 in D Major / M. Carcassi Etude No. 1 in E minor / Heitor Villa-Lobos James Davidson, guitar Prelude No. 4 / H. Villa-Lobos Mark Gavin, guitar Bois Epais / Jean-Baptiste Lully The Call / Ralph Vaughan Williams Justine Smigel, mezzo-soprano Allegro, Op. 20 / Joseph Hector Fiocco Gail Colombo, violin Improvisation II et III pour Saxophone Alto Seul / Ryo Noda III Chelsea Fisk, alto saxophonehttps://vc.bridgew.edu/student_concerts/1034/thumbnail.jp

    The genetic landscape of clinical resistance to RAF inhibition in metastatic melanoma

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    Most patients with BRAF(V600)-mutant metastatic melanoma develop resistance to selective RAF kinase inhibitors. The spectrum of clinical genetic resistance mechanisms to RAF inhibitors and options for salvage therapy are incompletely understood. We performed whole-exome sequencing on formalin-fixed, paraffin-embedded tumors from 45 patients with BRAF(V600)-mutant metastatic melanoma who received vemurafenib or dabrafenib monotherapy. Genetic alterations in known or putative RAF inhibitor resistance genes were observed in 23 of 45 patients (51%). Besides previously characterized alterations, we discovered a "long tail" of new mitogen-activated protein kinase (MAPK) pathway alterations (MAP2K2, MITF) that confer RAF inhibitor resistance. In three cases, multiple resistance gene alterations were observed within the same tumor biopsy. Overall, RAF inhibitor therapy leads to diverse clinical genetic resistance mechanisms, mostly involving MAPK pathway reactivation. Novel therapeutic combinations may be needed to achieve durable clinical control of BRAF(V600)-mutant melanoma. Integrating clinical genomics with preclinical screens may model subsequent resistance studies

    The Genetic Landscape of Clinical Resistance to RAF Inhibition in Metastatic Melanoma

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    Most patients with BRAF(V600)-mutant metastatic melanoma develop resistance to selective RAF kinase inhibitors. The spectrum of clinical genetic resistance mechanisms to RAF inhibitors and options for salvage therapy are incompletely understood. We performed whole-exome sequencing on formalin-fixed, paraffin-embedded tumors from 45 patients with BRAF(V600)-mutant metastatic melanoma who received vemurafenib or dabrafenib monotherapy. Genetic alterations in known or putative RAF inhibitor resistance genes were observed in 23 of 45 patients (51%). Besides previously characterized alterations, we discovered a “long tail” of new mitogen-activated protein kinase (MAPK) pathway alterations (MAP2K2, MITF) that confer RAF inhibitor resistance. In three cases, multiple resistance gene alterations were observed within the same tumor biopsy. Overall, RAF inhibitor therapy leads to diverse clinical genetic resistance mechanisms, mostly involving MAPK pathway reactivation. Novel therapeutic combinations may be needed to achieve durable clinical control of BRAF(V600)-mutant melanoma. Integrating clinical genomics with preclinical screens may model subsequent resistance studies. SIGNIFICANCE: The use of RAF inhibitors for BRAF(V600)-mutant metastatic melanoma improves patient outcomes, but most patients demonstrate early or acquired resistance to this targeted therapy. We reveal the genetic landscape of clinical resistance mechanisms to RAF inhibitors from patients using whole-exome sequencing, and experimentally assess new observed mechanisms to define potential subsequent treatment strategies. (C)2013 AACR

    EIF1AX-regulated growth and translation in uveal melanoma.

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    <p><b>(A)</b> Distribution of <i>EIF1AX</i> mutations observed in cohort of 52 uveal melanomas in comparison to other cancer types (as reported by <a href="http://www.tumorportal.org" target="_blank">http://www.tumorportal.org</a>). <b>(B)</b> <i>EIF1AX</i> wild type (WT) or mutant (MUT) uveal melanoma cells were infected with <i>EIF1AX</i> or control shRNAs and cell viability was determined after 6 days using MTS. Percent growth is relative to shLuc-expressing cells. Error bars represent SD of mean from 3 independent experiments. <b>(C)</b> Immunoblot analysis of EIF1AX protein levels in shRNA-expressing cells. <b>(D)</b> Polysome profiles of cell lines expressing shRNAs against <i>EIF1AX</i> and <i>Luciferase</i>.</p

    Somatic mutations in primary and metastatic uveal melanoma.

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    <p><b>(A)</b> The number of synonymous and nonsynonymous mutations per megabase of DNA sequence for 52 samples, arranged in columns. <b>(B)</b> Mutations in recurrently mutated genes are color-coded and ordered by significance. <b>(C)</b> Boxplots represent the distributions of allelic fractions observed per sample where the thick line represents 25-75<sup>th</sup> percentile, and thin line 5-95<sup>th</sup>. <b>(D)</b> The percentage of tumor cells (CCF) harboring a given mutation in the primary tumor in comparison to a metastatic liver sample from the same patient (UM45). <b>(E)</b> As in (D), but comparing a pre-treatment metastatic tumor sample to a post-treatment metastasis (Trio 2).</p

    Decreased EIF1AX expression impairs translation of protein synthesis machinery in wildtype, but not mutated setting.

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    <p><b>(A)</b> Principal component analysis depicts 4 color-coded clusters of 141 genes. <b>(B)</b> The trend in translational efficiency is depicted for each cluster in cells expressing control shRNAs (CN) or <i>EIF1AX</i> shRNAs (KD). Each line represents a different gene. Ribosomal protein genes are highlighted in red. Translational efficiency was calculated as polysome CPM / total CPM. <b>(C)</b> Boxplots demonstrate the distribution of the translational efficiencies of 78 ribosomal proteins in cells as in (B).</p

    A Landscape of Driver Mutations in Melanoma

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    Despite recent insights into melanoma genetics, systematic surveys for driver mutations are challenged by an abundance of passenger mutations caused by carcinogenic UV light exposure. We developed a permutation-based framework to address this challenge, employing mutation data from intronic sequences to control for passenger mutational load on a per gene basis. Analysis of large-scale melanoma exome data by this approach discovered six novel melanoma genes (PPP6C, RAC1, SNX31, TACC1, STK19, and ARID2), three of which—RAC1, PPP6C, and STK19—harbored recurrent and potentially targetable mutations. Integration with chromosomal copy number data contextualized the landscape of driver mutations, providing oncogenic insights in BRAF- and NRAS-driven melanoma as well as those without known NRAS/BRAF mutations. The landscape also clarified a mutational basis for RB and p53 pathway deregulation in this malignancy. Finally, the spectrum of driver mutations provided unequivocal genomic evidence for a direct mutagenic role of UV light in melanoma pathogenesis.National Human Genome Research Institute (U.S.) (Large Scale Sequencing Program Grant U54 HG003067)Melanoma Research AllianceNational Cancer Institute (U.S.) (Support Grant CA-16672
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