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Monitoring multiple myeloma by quantification of recurrent mutations in serum

Circulating tumor DNA is a promising biomarker to monitor tumor load and genome alterations. We explored the presence of circulating tumor DNA in multiple myeloma patients and its relation to disease activity during long-term follow-up. We used digital droplet polymerase chain reaction analysis to m...

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Autores principales: Rustad, Even Holth, Coward, Eivind, Skytøen, Emilie R, Misund, Kristine, Holien, Toril, Standal, Therese, Børset, Magne, Beisvag, Vidar, Myklebost, Ola, Meza-Zepeda, Leonardo A, Dai, Hong Yan, Sundan, Anders, Waage, Anders
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ferrata Storti Foundation 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566041/
https://www.ncbi.nlm.nih.gov/pubmed/28385781
http://dx.doi.org/10.3324/haematol.2016.160564
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author Rustad, Even Holth
Coward, Eivind
Skytøen, Emilie R
Misund, Kristine
Holien, Toril
Standal, Therese
Børset, Magne
Beisvag, Vidar
Myklebost, Ola
Meza-Zepeda, Leonardo A
Dai, Hong Yan
Sundan, Anders
Waage, Anders
author_facet Rustad, Even Holth
Coward, Eivind
Skytøen, Emilie R
Misund, Kristine
Holien, Toril
Standal, Therese
Børset, Magne
Beisvag, Vidar
Myklebost, Ola
Meza-Zepeda, Leonardo A
Dai, Hong Yan
Sundan, Anders
Waage, Anders
author_sort Rustad, Even Holth
collection PubMed
description Circulating tumor DNA is a promising biomarker to monitor tumor load and genome alterations. We explored the presence of circulating tumor DNA in multiple myeloma patients and its relation to disease activity during long-term follow-up. We used digital droplet polymerase chain reaction analysis to monitor recurrent mutations, mainly in mitogen activated protein kinase pathway genes NRAS, KRAS and BRAF. Mutations were identified by next-generation sequencing or polymerase chain reaction analysis of bone marrow plasma cells, and their presence analyzed in 251 archived serum samples obtained from 20 patients during a period of up to 7 years. In 17 of 18 patients, mutations identified in bone marrow during active disease were also found in a time-matched serum sample. The concentration of mutated alleles in serum correlated with the fraction in bone marrow plasma cells (r=0.507, n=34, P<0.002). There was a striking covariation between circulating mutation levels and M protein in ten out of 11 patients with sequential samples. When relapse evaluation by circulating tumor DNA and M protein could be directly compared, the circulating tumor DNA showed relapse earlier in two patients (3 and 9 months), later in one patient (4 months) and in three patients there was no difference. In three patients with transformation to aggressive disease, the concentrations of mutations in serum increased up to 400 times, an increase that was not seen for the M protein. In conclusion, circulating tumor DNA in myeloma is a multi-faceted biomarker reflecting mutated cells, total tumor mass and transformation to a more aggressive disease. Its properties are both similar and complementary to M protein.
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spelling pubmed-55660412017-09-07 Monitoring multiple myeloma by quantification of recurrent mutations in serum Rustad, Even Holth Coward, Eivind Skytøen, Emilie R Misund, Kristine Holien, Toril Standal, Therese Børset, Magne Beisvag, Vidar Myklebost, Ola Meza-Zepeda, Leonardo A Dai, Hong Yan Sundan, Anders Waage, Anders Haematologica Article Circulating tumor DNA is a promising biomarker to monitor tumor load and genome alterations. We explored the presence of circulating tumor DNA in multiple myeloma patients and its relation to disease activity during long-term follow-up. We used digital droplet polymerase chain reaction analysis to monitor recurrent mutations, mainly in mitogen activated protein kinase pathway genes NRAS, KRAS and BRAF. Mutations were identified by next-generation sequencing or polymerase chain reaction analysis of bone marrow plasma cells, and their presence analyzed in 251 archived serum samples obtained from 20 patients during a period of up to 7 years. In 17 of 18 patients, mutations identified in bone marrow during active disease were also found in a time-matched serum sample. The concentration of mutated alleles in serum correlated with the fraction in bone marrow plasma cells (r=0.507, n=34, P<0.002). There was a striking covariation between circulating mutation levels and M protein in ten out of 11 patients with sequential samples. When relapse evaluation by circulating tumor DNA and M protein could be directly compared, the circulating tumor DNA showed relapse earlier in two patients (3 and 9 months), later in one patient (4 months) and in three patients there was no difference. In three patients with transformation to aggressive disease, the concentrations of mutations in serum increased up to 400 times, an increase that was not seen for the M protein. In conclusion, circulating tumor DNA in myeloma is a multi-faceted biomarker reflecting mutated cells, total tumor mass and transformation to a more aggressive disease. Its properties are both similar and complementary to M protein. Ferrata Storti Foundation 2017-07 /pmc/articles/PMC5566041/ /pubmed/28385781 http://dx.doi.org/10.3324/haematol.2016.160564 Text en Copyright© 2017 Ferrata Storti Foundation Material published in Haematologica is covered by copyright. All rights are reserved to the Ferrata Storti Foundation. Use of published material is allowed under the following terms and conditions: https://creativecommons.org/licenses/by-nc/4.0/legalcode. Copies of published material are allowed for personal or internal use. Sharing published material for non-commercial purposes is subject to the following conditions: https://creativecommons.org/licenses/by-nc/4.0/legalcode, sect. 3. Reproducing and sharing published material for commercial purposes is not allowed without permission in writing from the publisher.
spellingShingle Article
Rustad, Even Holth
Coward, Eivind
Skytøen, Emilie R
Misund, Kristine
Holien, Toril
Standal, Therese
Børset, Magne
Beisvag, Vidar
Myklebost, Ola
Meza-Zepeda, Leonardo A
Dai, Hong Yan
Sundan, Anders
Waage, Anders
Monitoring multiple myeloma by quantification of recurrent mutations in serum
title Monitoring multiple myeloma by quantification of recurrent mutations in serum
title_full Monitoring multiple myeloma by quantification of recurrent mutations in serum
title_fullStr Monitoring multiple myeloma by quantification of recurrent mutations in serum
title_full_unstemmed Monitoring multiple myeloma by quantification of recurrent mutations in serum
title_short Monitoring multiple myeloma by quantification of recurrent mutations in serum
title_sort monitoring multiple myeloma by quantification of recurrent mutations in serum
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566041/
https://www.ncbi.nlm.nih.gov/pubmed/28385781
http://dx.doi.org/10.3324/haematol.2016.160564
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