Literature DB >> 27123562

Driver Mutations in Uveal Melanoma: Associations With Gene Expression Profile and Patient Outcomes.

Christina L Decatur1, Erin Ong1, Nisha Garg1, Hima Anbunathan2, Anne M Bowcock2, Matthew G Field1, J William Harbour1.   

Abstract

IMPORTANCE: Frequent mutations have been described in the following 5 genes in uveal melanoma (UM): BAP1, EIF1AX, GNA11, GNAQ, and SF3B1. Understanding the prognostic significance of these mutations could facilitate their use in precision medicine.
OBJECTIVE: To determine the associations between driver mutations, gene expression profile (GEP) classification, clinicopathologic features, and patient outcomes in UM. DESIGN, SETTING, AND PARTICIPANTS: Retrospective study of patients with UM treated by enucleation by a single ocular oncologist between November 1, 1998, and July 31, 2014. MAIN OUTCOMES AND MEASURES: Clinicopathologic features, patient outcomes, GEP classification (class 1 or class 2), and mutation status were recorded.
RESULTS: The study cohort comprised 81 participants. Their mean age was 61.5 years, and 37% (30 of 81) were female. The GEP classification was class 1 in 35 of 81 (43%), class 2 in 42 of 81 (52%), and unknown in 4 of 81 (5%). BAP1 mutations were identified in 29 of 64 (45%), GNAQ mutations in 36 of 81 (44%), GNA11 mutations in 36 of 81 (44%), SF3B1 mutations in 19 of 81 (24%), and EIF1AX mutations in 14 of 81 (17%). Sixteen of the mutations in BAP1 and 6 of the mutations in EIF1AX were previously unreported in UM. GNAQ and GNA11 mutations were mutually exclusive. BAP1, SF3B1, and EIF1AX mutations were almost mutually exclusive with each other. Using multiple regression analysis, BAP1 mutations were associated with class 2 GEP and older patient. EIF1AX mutations were associated with class 1 GEP and the absence of ciliary body involvement. SF3B1 mutations were associated with younger patient age. GNAQ mutations were associated with the absence of ciliary body involvement and greater largest basal diameter. GNA11 mutations were not associated with any of the analyzed features. Using Cox proportional hazards modeling, class 2 GEP was the prognostic factor most strongly associated with metastasis (relative risk, 9.4; 95% CI, 3.1-28.5) and melanoma-specific mortality (relative risk, 15.7; 95% CI, 3.6-69.1) (P < .001 for both). After excluding GEP class, the presence of BAP1 mutations was the factor most strongly associated with metastasis (relative risk, 10.6; 95% CI, 3.4-33.5) and melanoma-specific mortality (relative risk, 9.0; 95% CI, 2.8-29.2) (P < .001 for both). CONCLUSIONS AND RELEVANCE: BAP1, SF3B1, and EIF1AX mutations occur during UM tumor progression in an almost mutually exclusive manner and are associated with different levels of metastatic risk. These mutations may have value as prognostic markers in UM.

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Year:  2016        PMID: 27123562      PMCID: PMC4966162          DOI: 10.1001/jamaophthalmol.2016.0903

Source DB:  PubMed          Journal:  JAMA Ophthalmol        ISSN: 2168-6165            Impact factor:   7.389


  24 in total

1.  Frequent mutation of BAP1 in metastasizing uveal melanomas.

Authors:  J William Harbour; Michael D Onken; Elisha D O Roberson; Shenghui Duan; Li Cao; Lori A Worley; M Laurin Council; Katie A Matatall; Cynthia Helms; Anne M Bowcock
Journal:  Science       Date:  2010-11-04       Impact factor: 47.728

2.  NCCN Task Force report: Evaluating the clinical utility of tumor markers in oncology.

Authors:  Phillip G Febbo; Marc Ladanyi; Kenneth D Aldape; Angelo M De Marzo; M Elizabeth Hammond; Daniel F Hayes; A John Iafrate; R Kate Kelley; Guido Marcucci; Shuji Ogino; William Pao; Dennis C Sgroi; Marian L Birkeland
Journal:  J Natl Compr Canc Netw       Date:  2011-11       Impact factor: 11.908

3.  Exome sequencing identifies recurrent somatic mutations in EIF1AX and SF3B1 in uveal melanoma with disomy 3.

Authors:  Marcel Martin; Lars Maßhöfer; Petra Temming; Sven Rahmann; Claudia Metz; Norbert Bornfeld; Johannes van de Nes; Ludger Klein-Hitpass; Alan G Hinnebusch; Bernhard Horsthemke; Dietmar R Lohmann; Michael Zeschnigk
Journal:  Nat Genet       Date:  2013-06-23       Impact factor: 38.330

4.  Mutations in GNA11 in uveal melanoma.

Authors:  Catherine D Van Raamsdonk; Klaus G Griewank; Michelle B Crosby; Maria C Garrido; Swapna Vemula; Thomas Wiesner; Anna C Obenauf; Werner Wackernagel; Gary Green; Nancy Bouvier; M Mert Sozen; Gail Baimukanova; Ritu Roy; Adriana Heguy; Igor Dolgalev; Raya Khanin; Klaus Busam; Michael R Speicher; Joan O'Brien; Boris C Bastian
Journal:  N Engl J Med       Date:  2010-11-17       Impact factor: 91.245

5.  Reduced expression of autotaxin predicts survival in uveal melanoma.

Authors:  Arun D Singh; Karen Sisley; Yaomin Xu; Jianbo Li; Pieter Faber; Sarah J Plummer; Hardeep S Mudhar; Ian G Rennie; Patricia M Kessler; Graham Casey; Bryan G Williams
Journal:  Br J Ophthalmol       Date:  2007-05-02       Impact factor: 4.638

6.  Oncogenic mutations in GNAQ occur early in uveal melanoma.

Authors:  Michael D Onken; Lori A Worley; Meghan D Long; Shenghui Duan; M Laurin Council; Anne M Bowcock; J William Harbour
Journal:  Invest Ophthalmol Vis Sci       Date:  2008-08-21       Impact factor: 4.799

7.  BAP1 protein loss by immunohistochemistry: a potentially useful tool for prognostic prediction in patients with uveal melanoma.

Authors:  Akeesha A Shah; T David Bourne; Rajmohan Murali
Journal:  Pathology       Date:  2013-12       Impact factor: 5.306

8.  Current clinical practice: differential management of uveal melanoma in the era of molecular tumor analyses.

Authors:  Thomas M Aaberg; Robert W Cook; Kristen Oelschlager; Derek Maetzold; P Kumar Rao; John O Mason
Journal:  Clin Ophthalmol       Date:  2014-12-03

9.  Deep sequencing of uveal melanoma identifies a recurrent mutation in PLCB4.

Authors:  Peter Johansson; Lauren G Aoude; Karin Wadt; William J Glasson; Sunil K Warrier; Alex W Hewitt; Jens Folke Kiilgaard; Steffen Heegaard; Tim Isaacs; Maria Franchina; Christian Ingvar; Tersia Vermeulen; Kevin J Whitehead; Christopher W Schmidt; Jane M Palmer; Judith Symmons; Anne-Marie Gerdes; Göran Jönsson; Nicholas K Hayward
Journal:  Oncotarget       Date:  2016-01-26

10.  Oncogenic GNAQ mutations are not correlated with disease-free survival in uveal melanoma.

Authors:  J Bauer; E Kilic; J Vaarwater; B C Bastian; C Garbe; A de Klein
Journal:  Br J Cancer       Date:  2009-08-04       Impact factor: 7.640

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  81 in total

1.  Integrative Copy Number Analysis of Uveal Melanoma Reveals Novel Candidate Genes Involved in Tumorigenesis Including a Tumor Suppressor Role for PHF10/BAF45a.

Authors:  Hima Anbunathan; Ruth Verstraten; Arun D Singh; J William Harbour; Anne M Bowcock
Journal:  Clin Cancer Res       Date:  2019-06-21       Impact factor: 12.531

2.  Neratinib and entinostat combine to rapidly reduce the expression of K-RAS, N-RAS, Gαq and Gα11 and kill uveal melanoma cells.

Authors:  Laurence Booth; Jane L Roberts; Cindy Sander; Alshad S Lalani; John M Kirkwood; John F Hancock; Andrew Poklepovic; Paul Dent
Journal:  Cancer Biol Ther       Date:  2018-12-20       Impact factor: 4.742

3.  Randomized Phase II Trial and Tumor Mutational Spectrum Analysis from Cabozantinib versus Chemotherapy in Metastatic Uveal Melanoma (Alliance A091201).

Authors:  Jason J Luke; Daniel J Olson; Jacob B Allred; Carrie A Strand; Riyue Bao; Yuanyuan Zha; Timothy Carll; Brian W Labadie; Bruno R Bastos; Marcus O Butler; David Hogg; Pamela N Munster; Gary K Schwartz
Journal:  Clin Cancer Res       Date:  2019-09-26       Impact factor: 12.531

4.  CORRELATION OF GENE EXPRESSION PROFILE STATUS AND AMERICAN JOINT COMMISSION ON CANCER STAGE IN UVEAL MELANOMA.

Authors:  Duncan E Berry; Amy C Schefler; Michael I Seider; Miguel Materin; Sandra Stinnett; Prithvi Mruthyunjaya
Journal:  Retina       Date:  2018-11-08       Impact factor: 4.256

5.  Are Risk Factors for Growth of Choroidal Nevi Associated With Malignant Transformation? Assessment With a Validated Genomic Biomarker.

Authors:  J William Harbour; Manuel Paez-Escamilla; Louis Cai; Scott D Walter; James J Augsburger; Zelia M Correa
Journal:  Am J Ophthalmol       Date:  2018-09-07       Impact factor: 5.258

6.  Gene Expression Profiling and PRAME Status Versus Tumor-Node-Metastasis Staging for Prognostication in Uveal Melanoma.

Authors:  Louis Cai; Manuel Paez-Escamilla; Scott D Walter; Bercin Tarlan; Christina L Decatur; Barbara M Perez; J William Harbour
Journal:  Am J Ophthalmol       Date:  2018-08-06       Impact factor: 5.258

7.  Comprehensive Genetic Landscape of Uveal Melanoma by Whole-Genome Sequencing.

Authors:  Beryl Royer-Bertrand; Matteo Torsello; Donata Rimoldi; Ikram El Zaoui; Katarina Cisarova; Rosanna Pescini-Gobert; Franck Raynaud; Leonidas Zografos; Ann Schalenbourg; Daniel Speiser; Michael Nicolas; Laureen Vallat; Robert Klein; Serge Leyvraz; Giovanni Ciriello; Nicolò Riggi; Alexandre P Moulin; Carlo Rivolta
Journal:  Am J Hum Genet       Date:  2016-10-13       Impact factor: 11.025

8.  Molecular Characteristics of Conjunctival Melanoma Using Whole-Exome Sequencing.

Authors:  Swarup S Swaminathan; Matthew G Field; David Sant; Gaofeng Wang; Anat Galor; Sander R Dubovy; J William Harbour; Carol L Karp
Journal:  JAMA Ophthalmol       Date:  2017-12-01       Impact factor: 7.389

9.  Uveal Melanoma Nuclear BRCA1-Associated Protein-1 Immunoreactivity Is an Indicator of Metastasis.

Authors:  Eszter Szalai; Jill R Wells; Laura Ward; Hans E Grossniklaus
Journal:  Ophthalmology       Date:  2017-08-18       Impact factor: 12.079

10.  Association of Uveal Melanoma Metastatic Rate With Stochastic Mutation Rate and Type of Mutation.

Authors:  Eszter Szalai; Yi Jiang; Natasha M van Poppelen; Martine J Jager; Annelies de Klein; Emine Kilic; Hans E Grossniklaus
Journal:  JAMA Ophthalmol       Date:  2018-10-01       Impact factor: 7.389

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