Literature DB >> 27899805

Circulating tumour DNA analysis demonstrates spatial mutational heterogeneity that coincides with disease relapse in myeloma.

S Mithraprabhu1, T Khong1, M Ramachandran1, A Chow2, D Klarica3, L Mai4, S Walsh4, D Broemeling4, A Marziali4, M Wiggin4, J Hocking1,3, A Kalff1,3, B Durie5, A Spencer1,3,6.   

Abstract

Mutational characterisation in multiple myeloma (MM) currently relies on bone marrow (BM) biopsy, which fails to capture the putative spatial and genetic heterogeneity of this multifocal disease. Analysis of plasma (PL)-derived circulating free tumour DNA (ctDNA) as an adjunct to BM biopsy, for mutational characterisation and tracking disease progression, was evaluated. Paired BM MM cell DNA and ctDNA from 33 relapsed/refractory (RR) and 15 newly diagnosed (ND) patients were analysed for KRAS, NRAS, BRAF and TP53 mutations using the OnTarget Mutation Detection (OMD) platform. OMD detected 128 mutations (PL=31, BM=59, both=38) indicating the presence of PL mutations (54%). A higher frequency of PL-only mutations was detected in RR patients than ND (27.2% vs 6.6%, respectively), authenticating the existence of spatial and genetic heterogeneity in advanced disease. Activating RAS mutations were more highly prevalent than previously described with 69% harboring at least one RAS mutation. Sequential ctDNA quantitation with droplet digital PCR through longitudinal PL tracking of specific clones in seven patients demonstrated changes in fractional abundance of certain clones reflective of the disease status. We conclude that ctDNA analysis as an adjunct to BM biopsy represents a noninvasive and holistic strategy for improved mutational characterisation and therapeutic monitoring of MM.

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Year:  2016        PMID: 27899805     DOI: 10.1038/leu.2016.366

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  17 in total

1.  Noninvasive identification and monitoring of cancer mutations by targeted deep sequencing of plasma DNA.

Authors:  Tim Forshew; Muhammed Murtaza; Christine Parkinson; Davina Gale; Dana W Y Tsui; Fiona Kaper; Sarah-Jane Dawson; Anna M Piskorz; Mercedes Jimenez-Linan; David Bentley; James Hadfield; Andrew P May; Carlos Caldas; James D Brenton; Nitzan Rosenfeld
Journal:  Sci Transl Med       Date:  2012-05-30       Impact factor: 17.956

2.  Early genetic events provide the basis for a clinical classification of multiple myeloma.

Authors:  W Michael Kuehl; P Leif Bergsagel
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2005

3.  Detection of cancer DNA in plasma of patients with early-stage breast cancer.

Authors:  Julia A Beaver; Danijela Jelovac; Sasidharan Balukrishna; Rory Cochran; Sarah Croessmann; Daniel J Zabransky; Hong Yuen Wong; Patricia Valda Toro; Justin Cidado; Brian G Blair; David Chu; Timothy Burns; Michaela J Higgins; Vered Stearns; Lisa Jacobs; Mehran Habibi; Julie Lange; Paula J Hurley; Josh Lauring; Dustin VanDenBerg; Jill Kessler; Stacie Jeter; Michael L Samuels; Dianna Maar; Leslie Cope; Ashley Cimino-Mathews; Pedram Argani; Antonio C Wolff; Ben H Park
Journal:  Clin Cancer Res       Date:  2014-02-06       Impact factor: 12.531

4.  Whole-genome sequencing of multiple myeloma from diagnosis to plasma cell leukemia reveals genomic initiating events, evolution, and clonal tides.

Authors:  Jan B Egan; Chang-Xin Shi; Waibhav Tembe; Alexis Christoforides; Ahmet Kurdoglu; Shripad Sinari; Sumit Middha; Yan Asmann; Jessica Schmidt; Esteban Braggio; Jonathan J Keats; Rafael Fonseca; P Leif Bergsagel; David W Craig; John D Carpten; A Keith Stewart
Journal:  Blood       Date:  2012-04-23       Impact factor: 22.113

5.  Cancer immunology. Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer.

Authors:  Naiyer A Rizvi; Matthew D Hellmann; Alexandra Snyder; Pia Kvistborg; Vladimir Makarov; Jonathan J Havel; William Lee; Jianda Yuan; Phillip Wong; Teresa S Ho; Martin L Miller; Natasha Rekhtman; Andre L Moreira; Fawzia Ibrahim; Cameron Bruggeman; Billel Gasmi; Roberta Zappasodi; Yuka Maeda; Chris Sander; Edward B Garon; Taha Merghoub; Jedd D Wolchok; Ton N Schumacher; Timothy A Chan
Journal:  Science       Date:  2015-03-12       Impact factor: 47.728

6.  Dysregulated Class I histone deacetylases are indicators of poor prognosis in multiple myeloma.

Authors:  Sridurga Mithraprabhu; Anna Kalff; Annie Chow; Tiffany Khong; Andrew Spencer
Journal:  Epigenetics       Date:  2014-11       Impact factor: 4.528

7.  Mutation profiling of tumor DNA from plasma and tumor tissue of colorectal cancer patients with a novel, high-sensitivity multiplexed mutation detection platform.

Authors:  Evelyn Kidess; Kyra Heirich; Matthew Wiggin; Valentina Vysotskaia; Brendan C Visser; Andre Marziali; Bertram Wiedenmann; Jeffrey A Norton; Mark Lee; Stefanie S Jeffrey; George A Poultsides
Journal:  Oncotarget       Date:  2015-02-10

8.  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

9.  A novel blood collection device stabilizes cell-free RNA in blood during sample shipping and storage.

Authors:  Jianbing Qin; Thomas L Williams; M Rohan Fernando
Journal:  BMC Res Notes       Date:  2013-09-26

10.  Mutational Spectrum, Copy Number Changes, and Outcome: Results of a Sequencing Study of Patients With Newly Diagnosed Myeloma.

Authors:  Brian A Walker; Eileen M Boyle; Christopher P Wardell; Alex Murison; Dil B Begum; Nasrin M Dahir; Paula Z Proszek; David C Johnson; Martin F Kaiser; Lorenzo Melchor; Lauren I Aronson; Matthew Scales; Charlotte Pawlyn; Fabio Mirabella; John R Jones; Annamaria Brioli; Aneta Mikulasova; David A Cairns; Walter M Gregory; Ana Quartilho; Mark T Drayson; Nigel Russell; Gordon Cook; Graham H Jackson; Xavier Leleu; Faith E Davies; Gareth J Morgan
Journal:  J Clin Oncol       Date:  2015-08-17       Impact factor: 44.544

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  36 in total

1.  Circulating tumor DNA dynamically predicts response and/or relapse in patients with hematological malignancies.

Authors:  Sousuke Nakamura; Kazuaki Yokoyama; Nozomi Yusa; Miho Ogawa; Tomomi Takei; Asako Kobayashi; Mika Ito; Eigo Shimizu; Rika Kasajima; Yuka Wada; Rui Yamaguchi; Seiya Imoto; Tokiko Nagamura-Inoue; Satoru Miyano; Arinobu Tojo
Journal:  Int J Hematol       Date:  2018-06-29       Impact factor: 2.490

2.  Myeloma MRD by deep sequencing from circulating tumor DNA does not correlate with results obtained in the bone marrow.

Authors:  Céline Mazzotti; Laure Buisson; Sabrina Maheo; Aurore Perrot; Marie-Lorraine Chretien; Xavier Leleu; Cyrille Hulin; Salomon Manier; Benjamin Hébraud; Murielle Roussel; Laura Do Souto; Michel Attal; Hervé Avet-Loiseau; Jill Corre
Journal:  Blood Adv       Date:  2018-11-13

Review 3.  Tracking myeloma tumor DNA in peripheral blood.

Authors:  Johannes M Waldschmidt; Tushara Vijaykumar; Birgit Knoechel; Jens G Lohr
Journal:  Best Pract Res Clin Haematol       Date:  2020-01-14       Impact factor: 3.020

4.  Circulating tumor DNA as a liquid biopsy in plasma cell dyscrasias.

Authors:  Bernhard Gerber; Martina Manzoni; Valeria Spina; Alessio Bruscaggin; Marta Lionetti; Sonia Fabris; Marzia Barbieri; Gabriella Ciceri; Alessandra Pompa; Gabriela Forestieri; Erika Lerch; Paolo Servida; Francesco Bertoni; Emanuele Zucca; Michele Ghielmini; Agostino Cortelezzi; Franco Cavalli; Georg Stussi; Luca Baldini; Davide Rossi; Antonino Neri
Journal:  Haematologica       Date:  2018-02-22       Impact factor: 9.941

5.  Human Plasma Extracellular Vesicle Isolation and Proteomic Characterization for the Optimization of Liquid Biopsy in Multiple Myeloma.

Authors:  Antonia Reale; Tiffany Khong; Rong Xu; Maoshan Chen; Sridurga Mithraprabhu; Nicholas Bingham; Andrew Spencer; David W Greening
Journal:  Methods Mol Biol       Date:  2021

6.  The presence of large focal lesions is a strong independent prognostic factor in multiple myeloma.

Authors:  Leo Rasche; Edgardo J Angtuaco; Terri L Alpe; Grant H Gershner; James E McDonald; Rohan S Samant; Manoj Kumar; Rudy Van Hemert; Joshua Epstein; Shayu Deshpande; Ruslana Tytarenko; Shmuel Yaccoby; Jens Hillengass; Sharmilan Thanendrarajan; Carolina Schinke; Frits van Rhee; Maurizio Zangari; Brian A Walker; Bart Barlogie; Gareth J Morgan; Faith E Davies; Niels Weinhold
Journal:  Blood       Date:  2018-05-21       Impact factor: 22.113

Review 7.  Comprehensive characterization of circulating and bone marrow-derived multiple myeloma cells at minimal residual disease.

Authors:  Johannes M Waldschmidt; Praveen Anand; Birgit Knoechel; Jens G Lohr
Journal:  Semin Hematol       Date:  2018-03-01       Impact factor: 3.851

8.  Activating KRAS, NRAS, and BRAF mutants enhance proteasome capacity and reduce endoplasmic reticulum stress in multiple myeloma.

Authors:  Fazal Shirazi; Richard J Jones; Ram K Singh; Jianxuan Zou; Isere Kuiatse; Zuzana Berkova; Hua Wang; Hans C Lee; Samuel Hong; Larry Dick; Nibedita Chattopadhyay; Robert Z Orlowski
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-03       Impact factor: 11.205

Review 9.  The value of cell-free DNA for molecular pathology.

Authors:  Caitlin M Stewart; Prachi D Kothari; Florent Mouliere; Richard Mair; Saira Somnay; Ryma Benayed; Ahmet Zehir; Britta Weigelt; Sarah-Jane Dawson; Maria E Arcila; Michael F Berger; Dana Wy Tsui
Journal:  J Pathol       Date:  2018-03-12       Impact factor: 7.996

10.  Circulating cell-free DNA in the peripheral blood plasma of patients is an informative biomarker for multiple myeloma relapse.

Authors:  Hiroshi Yasui; Masayuki Kobayashi; Kota Sato; Kanya Kondoh; Tadao Ishida; Yuta Kaito; Hideto Tamura; Hiroshi Handa; Yutaka Tsukune; Makoto Sasaki; Norio Komatsu; Norina Tanaka; Junji Tanaka; Masahiro Kizaki; Toyotaka Kawamata; Junya Makiyama; Kazuaki Yokoyama; Seiya Imoto; Arinobu Tojo; Yoichi Imai
Journal:  Int J Clin Oncol       Date:  2021-07-14       Impact factor: 3.402

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