Literature DB >> 35522533

Myeloma Genome Project Panel is a Comprehensive Targeted Genomics Panel for Molecular Profiling of Patients with Multiple Myeloma.

Parvathi Sudha1, Aarif Ahsan2, Karthik Ramasamy3,4,5, Anjan Thakurta2,4,5, Brian A Walker1, Cody Ashby6, Tasneem Kausar2, Akhil Khera3, Mohammad H Kazeroun7, Chih-Chao Hsu2, Lin Wang8, Evelyn Fitzsimons9, Outi Salminen7, Patrick Blaney10, Magdalena Czader8, Jonathan Williams3, Mohammad I Abu Zaid1, Naser Ansari-Pour7, Kwee L Yong9, Frits van Rhee11, William E Pierceall2, Gareth J Morgan10, Erin Flynt2, Sarah Gooding3,7,4, Rafat Abonour1.   

Abstract

PURPOSE: We designed a comprehensive multiple myeloma targeted sequencing panel to identify common genomic abnormalities in a single assay and validated it against known standards. EXPERIMENTAL
DESIGN: The panel comprised 228 genes/exons for mutations, 6 regions for translocations, and 56 regions for copy number abnormalities (CNA). Toward panel validation, targeted sequencing was conducted on 233 patient samples and further validated using clinical FISH (translocations), multiplex ligation probe analysis (MLPA; CNAs), whole-genome sequencing (WGS; CNAs, mutations, translocations), or droplet digital PCR (ddPCR) of known standards (mutations).
RESULTS: Canonical immunoglobulin heavy chain translocations were detected in 43.2% of patients by sequencing, and aligned with FISH except for 1 patient. CNAs determined by sequencing and MLPA for 22 regions were comparable in 103 samples and concordance between platforms was R2 = 0.969. Variant allele frequency (VAF) for 74 mutations were compared between sequencing and ddPCR with concordance of R2 = 0.9849.
CONCLUSIONS: In summary, we have developed a targeted sequencing panel that is as robust or superior to FISH and WGS. This molecular panel is cost-effective, comprehensive, clinically actionable, and can be routinely deployed to assist risk stratification at diagnosis or posttreatment to guide sequencing of therapies. ©2022 The Authors; Published by the American Association for Cancer Research.

Entities:  

Mesh:

Year:  2022        PMID: 35522533      PMCID: PMC9250632          DOI: 10.1158/1078-0432.CCR-21-3695

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   13.801


  55 in total

1.  Identification of novel mutational drivers reveals oncogene dependencies in multiple myeloma.

Authors:  Brian A Walker; Konstantinos Mavrommatis; Christopher P Wardell; T Cody Ashby; Michael Bauer; Faith E Davies; Adam Rosenthal; Hongwei Wang; Pingping Qu; Antje Hoering; Mehmet Samur; Fadi Towfic; Maria Ortiz; Erin Flynt; Zhinuan Yu; Zhihong Yang; Dan Rozelle; John Obenauer; Matthew Trotter; Daniel Auclair; Jonathan Keats; Niccolo Bolli; Mariateresa Fulciniti; Raphael Szalat; Philippe Moreau; Brian Durie; A Keith Stewart; Hartmut Goldschmidt; Marc S Raab; Hermann Einsele; Pieter Sonneveld; Jesus San Miguel; Sagar Lonial; Graham H Jackson; Kenneth C Anderson; Herve Avet-Loiseau; Nikhil Munshi; Anjan Thakurta; Gareth J Morgan
Journal:  Blood       Date:  2018-06-08       Impact factor: 22.113

2.  Overexpression of transcripts originating from the MMSET locus characterizes all t(4;14)(p16;q32)-positive multiple myeloma patients.

Authors:  Jonathan J Keats; Christopher A Maxwell; Brian J Taylor; Michael J Hendzel; Marta Chesi; P Leif Bergsagel; Loree M Larratt; Michael J Mant; Tony Reiman; Andrew R Belch; Linda M Pilarski
Journal:  Blood       Date:  2005-01-27       Impact factor: 22.113

3.  Classical and/or alternative NF-kappaB pathway activation in multiple myeloma.

Authors:  Yulia N Demchenko; Oleg K Glebov; Adriana Zingone; Jonathan J Keats; P Leif Bergsagel; W Michael Kuehl
Journal:  Blood       Date:  2010-01-06       Impact factor: 22.113

4.  Multiple myeloma immunoglobulin lambda translocations portend poor prognosis.

Authors:  Benjamin G Barwick; Paola Neri; Nizar J Bahlis; Ajay K Nooka; Madhav V Dhodapkar; David L Jaye; Craig C Hofmeister; Jonathan L Kaufman; Vikas A Gupta; Daniel Auclair; Jonathan J Keats; Sagar Lonial; Paula M Vertino; Lawrence H Boise
Journal:  Nat Commun       Date:  2019-04-23       Impact factor: 14.919

5.  The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma.

Authors:  Eileen M Boyle; Shayu Deshpande; Ruslana Tytarenko; Cody Ashby; Yan Wang; Michael A Bauer; Sarah K Johnson; Christopher P Wardell; Sharmilan Thanendrarajan; Maurizio Zangari; Thierry Facon; Charles Dumontet; Bart Barlogie; Arnaldo Arbini; Even H Rustad; Francesco Maura; Ola Landgren; Fenghuang Zhan; Frits van Rhee; Carolina Schinke; Faith E Davies; Gareth J Morgan; Brian A Walker
Journal:  Nat Commun       Date:  2021-01-12       Impact factor: 14.919

6.  Somatic mutations of the histone H3K27 demethylase gene UTX in human cancer.

Authors:  Gijs van Haaften; Gillian L Dalgliesh; Helen Davies; Lina Chen; Graham Bignell; Chris Greenman; Sarah Edkins; Claire Hardy; Sarah O'Meara; Jon Teague; Adam Butler; Jonathan Hinton; Calli Latimer; Jenny Andrews; Syd Barthorpe; Dave Beare; Gemma Buck; Peter J Campbell; Jennifer Cole; Simon Forbes; Mingming Jia; David Jones; Chai Yin Kok; Catherine Leroy; Meng-Lay Lin; David J McBride; Mark Maddison; Simon Maquire; Kirsten McLay; Andrew Menzies; Tatiana Mironenko; Lee Mulderrig; Laura Mudie; Erin Pleasance; Rebecca Shepherd; Raffaella Smith; Lucy Stebbings; Philip Stephens; Gurpreet Tang; Patrick S Tarpey; Rachel Turner; Kelly Turrell; Jennifer Varian; Sofie West; Sara Widaa; Paul Wray; V Peter Collins; Koichi Ichimura; Simon Law; John Wong; Siu Tsan Yuen; Suet Yi Leung; Giovanni Tonon; Ronald A DePinho; Yu-Tzu Tai; Kenneth C Anderson; Richard J Kahnoski; Aaron Massie; Sok Kean Khoo; Bin Tean Teh; Michael R Stratton; P Andrew Futreal
Journal:  Nat Genet       Date:  2009-03-29       Impact factor: 38.330

7.  Widespread genetic heterogeneity in multiple myeloma: implications for targeted therapy.

Authors:  Jens G Lohr; Petar Stojanov; Scott L Carter; Peter Cruz-Gordillo; Michael S Lawrence; Daniel Auclair; Carrie Sougnez; Birgit Knoechel; Joshua Gould; Gordon Saksena; Kristian Cibulskis; Aaron McKenna; Michael A Chapman; Ravid Straussman; Joan Levy; Louise M Perkins; Jonathan J Keats; Steven E Schumacher; Mara Rosenberg; Gad Getz; Todd R Golub
Journal:  Cancer Cell       Date:  2014-01-13       Impact factor: 31.743

8.  The Prognostic Role of MYC Structural Variants Identified by NGS and FISH in Multiple Myeloma.

Authors:  Neeraj Sharma; James B Smadbeck; Nadine Abdallah; Cinthya Zepeda-Mendoza; Moritz Binder; Kathryn E Pearce; Yan W Asmann; Jess F Peterson; Rhett P Ketterling; Patricia T Greipp; P Leif Bergsagel; S Vincent Rajkumar; Shaji K Kumar; Linda B Baughn
Journal:  Clin Cancer Res       Date:  2021-10-01       Impact factor: 12.531

9.  Comprehensive detection of recurring genomic abnormalities: a targeted sequencing approach for multiple myeloma.

Authors:  Venkata Yellapantula; Malin Hultcrantz; Even H Rustad; Ester Wasserman; Dory Londono; Robert Cimera; Amanda Ciardiello; Heather Landau; Theresia Akhlaghi; Sham Mailankody; Minal Patel; Juan Santiago Medina-Martinez; Juan Esteban Arango Ossa; Max Fine Levine; Niccolo Bolli; Francesco Maura; Ahmet Dogan; Elli Papaemmanuil; Yanming Zhang; Ola Landgren
Journal:  Blood Cancer J       Date:  2019-12-11       Impact factor: 11.037

Review 10.  Multiple myeloma current treatment algorithms.

Authors:  S Vincent Rajkumar; Shaji Kumar
Journal:  Blood Cancer J       Date:  2020-09-28       Impact factor: 11.037

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