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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ferrata Storti Foundation
2017
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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. |
format | Online Article Text |
id | pubmed-5566041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Ferrata Storti Foundation |
record_format | MEDLINE/PubMed |
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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