Literature DB >> 29207579

Circulating tumour DNA analysis in multiple myeloma.

Sridurga Mithraprabhu1, Andrew Spencer1.   

Abstract

Entities:  

Keywords:  cell-free DNA; circulating tumour DNA; multiple myeloma; mutations; therapeutic monitoring

Year:  2017        PMID: 29207579      PMCID: PMC5710860          DOI: 10.18632/oncotarget.21595

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


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For over a decade the possibility of cancer diagnosis and characterisation through a blood test rather than repeated, invasive, and often uninformative tissue biopsies has been explored. This is now feasible via the interrogation of circulating free tumour derived DNA (ctDNA)—short fragments of DNA shed from tumours into the plasma that harbor mutations present in both primary tumours and metastases [1]. Such analysis is now frequently integrated into clinical trials and plasma DNA EGFR mutation testing for non-small cell lung cancer has recently been approved by the FDA [2]. Further commercialisation of these ‘liquid biopsies’ as diagnostics is rapidly evolving but currently is largely limited to improving treatment choices in late stage cancers. Multiple myeloma (MM) is a malignancy of terminally differentiated plasma cells that is largely confined to the intra-medullary bone marrow (BM) milieu. MM is a markedly heterogeneous multi-focal disease that manifests complex cytogenetic and molecular abnormalities including primary translocations involving the immunoglobin heavy chain locus and driver and/or secondary mutations involving numerous oncogenic signalling pathways. The conventional approach for monitoring MM tumour burden is via quantitation of serum biomarkers - clonal immunoglobulin (paraprotein) and/or isotype restricted free-light chains (serum free light chains). However, these approaches are inadequate to define minimal residual status (MRD) and uninformative in subsets of patients with oligo-secretory (OS) or non-secretory (NS)-MM. The genomic characterisation of the disease, most frequently at diagnosis, is achieved via sequential testing of single-site BM biopsies, a strategy that clearly fails to accommodate the perceived clonal heterogeneity and multi-focal nature (spatial heterogeneity) of the disease. As such there remains a critical need for newer strategies that will enable both comprehensive mutational characterization in MM and a more practical approach to evaluating treatment response in the more challenging subsets of MM. Recently published data would suggest that ctDNA analysis may represent such an approach. The evaluation of ctDNA for mutational characterisation and monitoring of disease burden in MM has recently been described [3-6] with the levels of cell-free DNA being significantly higher in patients with MM compared to normal volunteers and non-MM cancers [3, 6]. Importantly, and for the first time, spatial and clonal heterogeneity in MM was confirmed by our study, with a high sensitivity targeted sequencing platform demonstrating that 21% of MM patients had mutations detectable only in the plasma and not BM [3]. While it is almost certain, with high-sensitivity approaches, that there will be a mutant allele fraction (MAF) threshold for minor BM sub-clones that enables them to be reproducibly detected in the plasma this is likely not relevant to less sensitive strategies that cannot detect smaller sub-clonal mutations, consistent with the 96% concordance between BM and PL demonstrated using next-generation sequencing (NGS) technologies [6]. However, confirmatory studies are required to validate these observations. BM whole exome sequencing (WES) studies in MM have demonstrated activating mutations of the RAS-MAPK pathway in approximately 50% of patients [7, 8]. In contrast, our study demonstrated mutations in 69% of cases and the co-existence of multiple mutated sub-clones in a significant proportion, with >3 mutations in 23% of patients (range, 3-17 mutations per patient) representing a hitherto unrecognized mutational convergence on the RAS-MAPK pathway. This has remained largely undiscovered with single-site BM WES studies likely owing to the relative insensitivity of the methodologies utilised and the presence of undetected clonal heterogeneity at sites distant to the BM biopsy sites. Another interesting and novel observation is the presence of predominantly plasma-based PIK3CA mutations as described in the paper from Kis et al (2017). These have rarely been described previously in MM and the detection in the plasma raises the possibility that they may be a feature of extramedullary (EM) disease. Therefore, plasma ctDNA analysis for EM patients may provide insight into the aetiology of EM disease and could theoretically also furnish information on response to therapy through sequential tracking of plasma-only mutations. Oberle and colleagues assessed clonotypic V(D)J rearrangement in cell-free DNA in a cohort of 27 MM patients and an association between the presence of cfDNA V(D)J rearrangements with response to therapy was demonstrated [4]. Similarly, Rustaad et al and our group have tracked ctDNA quantifiable somatic mutations suggesting the capacity with such an approach to predict disease response and relapse [3, 5]. However, all of these studies were limited by small sample sizes and a lack of homogenous treatment and monitoring strategies. Moreover, a significant shortcoming of assessing a specific mutant clone over several years is the possibility of emergent sub-clonal mutations associated with disease relapse. We therefore propose that sequential assessment, preferably with a targeted high-sensitivity platform, capable of quantitating existing and new sub-clones in the plasma, is necessary to comprehensively monitor patients. The accumulative published experiences and imminent developments in the field of ctDNA analysis indicate that this type of analysis will, in the near future, provide critical information for precision medicine and likely transform the management of problematic sub-groups of MM including both NS and OS patients and those with EM disease.
  7 in total

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

Authors:  S Mithraprabhu; T Khong; M Ramachandran; A Chow; D Klarica; L Mai; S Walsh; D Broemeling; A Marziali; M Wiggin; J Hocking; A Kalff; B Durie; A Spencer
Journal:  Leukemia       Date:  2016-11-30       Impact factor: 11.528

Review 2.  Integrating liquid biopsies into the management of cancer.

Authors:  Giulia Siravegna; Silvia Marsoni; Salvatore Siena; Alberto Bardelli
Journal:  Nat Rev Clin Oncol       Date:  2017-03-02       Impact factor: 66.675

3.  Monitoring multiple myeloma by quantification of recurrent mutations in serum.

Authors:  Even Holth Rustad; Eivind Coward; Emilie R Skytøen; Kristine Misund; Toril Holien; Therese Standal; Magne Børset; Vidar Beisvag; Ola Myklebost; Leonardo A Meza-Zepeda; Hong Yan Dai; Anders Sundan; Anders Waage
Journal:  Haematologica       Date:  2017-04-06       Impact factor: 9.941

4.  Monitoring multiple myeloma by next-generation sequencing of V(D)J rearrangements from circulating myeloma cells and cell-free myeloma DNA.

Authors:  Anna Oberle; Anna Brandt; Minna Voigtlaender; Benjamin Thiele; Janina Radloff; Anita Schulenkorf; Malik Alawi; Nuray Akyüz; Manuela März; Christopher T Ford; Artus Krohn-Grimberghe; Mascha Binder
Journal:  Haematologica       Date:  2017-02-09       Impact factor: 9.941

5.  Circulating tumour DNA sequence analysis as an alternative to multiple myeloma bone marrow aspirates.

Authors:  Olena Kis; Rayan Kaedbey; Signy Chow; Arnavaz Danesh; Mark Dowar; Tiantian Li; Zhihua Li; Jessica Liu; Mark Mansour; Esther Masih-Khan; Tong Zhang; Scott V Bratman; Amit M Oza; Suzanne Kamel-Reid; Suzanne Trudel; Trevor J Pugh
Journal:  Nat Commun       Date:  2017-05-11       Impact factor: 14.919

6.  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

7.  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

  7 in total
  5 in total

Review 1.  Liquid biopsy: an evolving paradigm for the biological characterisation of plasma cell disorders.

Authors:  Sridurga Mithraprabhu; Maoshan Chen; Ioanna Savvidou; Antonia Reale; Andrew Spencer
Journal:  Leukemia       Date:  2021-07-14       Impact factor: 11.528

2.  Detection of MYD88 and CXCR4 mutations in cell-free DNA of patients with IgM monoclonal gammopathies.

Authors:  Tina Bagratuni; Ioannis Ntanasis-Stathopoulos; Maria Gavriatopoulou; Nefeli Mavrianou-Koutsoukou; Christine Liacos; Dimitrios Patseas; Nikolaos Kanellias; Magdalini Migkou; Dimitrios C Ziogas; Evangelos Eleutherakis-Papaiakovou; Maria Roussou; Despina Fotiou; Evangelos Terpos; Efstathios Kastritis; Meletios A Dimopoulos
Journal:  Leukemia       Date:  2018-07-19       Impact factor: 11.528

3.  Determination of MYD88L265P mutation fraction in IgM monoclonal gammopathies.

Authors:  Tina Bagratuni; Athina Markou; Dimitrios Patseas; Nefeli Mavrianou-Koutsoukou; Foteini Aktypi; Christine Ivy Liacos; Aimilia D Sklirou; Foteini Theodorakakou; Ioannis Ntanasis-Stathopoulos; Maria Gavriatopoulou; Ioannis P Trougakos; Evi Lianidou; Evangelos Terpos; Efstathios Kastritis; Meletios A Dimopoulos
Journal:  Blood Adv       Date:  2022-01-11

Review 4.  The Minimal Residual Disease Using Liquid Biopsies in Hematological Malignancies.

Authors:  Rafael Colmenares; Noemí Álvarez; Santiago Barrio; Joaquín Martínez-López; Rosa Ayala
Journal:  Cancers (Basel)       Date:  2022-03-03       Impact factor: 6.639

Review 5.  Liquid biopsies for multiple myeloma in a time of precision medicine.

Authors:  Bruna Ferreira; Joana Caetano; Filipa Barahona; Raquel Lopes; Emilie Carneiro; Bruno Costa-Silva; Cristina João
Journal:  J Mol Med (Berl)       Date:  2020-04-04       Impact factor: 4.599

  5 in total

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