Mutational patterns and clonal evolution from diagnosis to relapse in pediatric acute lymphoblastic leukemia
Abstract The mechanisms driving clonal heterogeneity and evolution in relapsed pediatric acute lymphoblastic leukemia (ALL) are not fully understood. We performed whole genome sequencing of samples collected at diagnosis, relapse(s) and remission from 29 Nordic patients. Somatic point mutations and...
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doaj-df7f00d635d847359cec38029b48a5522021-08-08T11:23:57ZengNature Publishing GroupScientific Reports2045-23222021-08-0111111710.1038/s41598-021-95109-0Mutational patterns and clonal evolution from diagnosis to relapse in pediatric acute lymphoblastic leukemiaShumaila Sayyab0Anders Lundmark1Malin Larsson2Markus Ringnér3Sara Nystedt4Yanara Marincevic-Zuniga5Katja Pokrovskaja Tamm6Jonas Abrahamsson7Linda Fogelstrand8Mats Heyman9Ulrika Norén-Nyström10Gudmar Lönnerholm11Arja Harila-Saari12Eva C. Berglund13Jessica Nordlund14Ann-Christine Syvänen15Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala UniversityDepartment of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala UniversityDepartment of Physics, Chemistry and Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Linköping UniversityDepartment of Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Lund UniversityDepartment of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala UniversityDepartment of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala UniversityDepartment of Oncology-Pathology, Karolinska InstitutetDepartment of Pediatrics, Institute of Clinical Sciences, Sahlgrenska Academy at University of GothenburgDepartment of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at University of GothenburgChildhood Cancer Research Unit, Karolinska University HospitalDepartment of Clinical Sciences and Pediatrics, University of UmeåDepartment of Women’s and Children’s Health, Uppsala UniversityDepartment of Women’s and Children’s Health, Uppsala UniversityDepartment of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala UniversityDepartment of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala UniversityDepartment of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala UniversityAbstract The mechanisms driving clonal heterogeneity and evolution in relapsed pediatric acute lymphoblastic leukemia (ALL) are not fully understood. We performed whole genome sequencing of samples collected at diagnosis, relapse(s) and remission from 29 Nordic patients. Somatic point mutations and large-scale structural variants were called using individually matched remission samples as controls, and allelic expression of the mutations was assessed in ALL cells using RNA-sequencing. We observed an increased burden of somatic mutations at relapse, compared to diagnosis, and at second relapse compared to first relapse. In addition to 29 known ALL driver genes, of which nine genes carried recurrent protein-coding mutations in our sample set, we identified putative non-protein coding mutations in regulatory regions of seven additional genes that have not previously been described in ALL. Cluster analysis of hundreds of somatic mutations per sample revealed three distinct evolutionary trajectories during ALL progression from diagnosis to relapse. The evolutionary trajectories provide insight into the mutational mechanisms leading relapse in ALL and could offer biomarkers for improved risk prediction in individual patients.https://doi.org/10.1038/s41598-021-95109-0 |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shumaila Sayyab Anders Lundmark Malin Larsson Markus Ringnér Sara Nystedt Yanara Marincevic-Zuniga Katja Pokrovskaja Tamm Jonas Abrahamsson Linda Fogelstrand Mats Heyman Ulrika Norén-Nyström Gudmar Lönnerholm Arja Harila-Saari Eva C. Berglund Jessica Nordlund Ann-Christine Syvänen |
spellingShingle |
Shumaila Sayyab Anders Lundmark Malin Larsson Markus Ringnér Sara Nystedt Yanara Marincevic-Zuniga Katja Pokrovskaja Tamm Jonas Abrahamsson Linda Fogelstrand Mats Heyman Ulrika Norén-Nyström Gudmar Lönnerholm Arja Harila-Saari Eva C. Berglund Jessica Nordlund Ann-Christine Syvänen Mutational patterns and clonal evolution from diagnosis to relapse in pediatric acute lymphoblastic leukemia Scientific Reports |
author_facet |
Shumaila Sayyab Anders Lundmark Malin Larsson Markus Ringnér Sara Nystedt Yanara Marincevic-Zuniga Katja Pokrovskaja Tamm Jonas Abrahamsson Linda Fogelstrand Mats Heyman Ulrika Norén-Nyström Gudmar Lönnerholm Arja Harila-Saari Eva C. Berglund Jessica Nordlund Ann-Christine Syvänen |
author_sort |
Shumaila Sayyab |
title |
Mutational patterns and clonal evolution from diagnosis to relapse in pediatric acute lymphoblastic leukemia |
title_short |
Mutational patterns and clonal evolution from diagnosis to relapse in pediatric acute lymphoblastic leukemia |
title_full |
Mutational patterns and clonal evolution from diagnosis to relapse in pediatric acute lymphoblastic leukemia |
title_fullStr |
Mutational patterns and clonal evolution from diagnosis to relapse in pediatric acute lymphoblastic leukemia |
title_full_unstemmed |
Mutational patterns and clonal evolution from diagnosis to relapse in pediatric acute lymphoblastic leukemia |
title_sort |
mutational patterns and clonal evolution from diagnosis to relapse in pediatric acute lymphoblastic leukemia |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2021-08-01 |
description |
Abstract The mechanisms driving clonal heterogeneity and evolution in relapsed pediatric acute lymphoblastic leukemia (ALL) are not fully understood. We performed whole genome sequencing of samples collected at diagnosis, relapse(s) and remission from 29 Nordic patients. Somatic point mutations and large-scale structural variants were called using individually matched remission samples as controls, and allelic expression of the mutations was assessed in ALL cells using RNA-sequencing. We observed an increased burden of somatic mutations at relapse, compared to diagnosis, and at second relapse compared to first relapse. In addition to 29 known ALL driver genes, of which nine genes carried recurrent protein-coding mutations in our sample set, we identified putative non-protein coding mutations in regulatory regions of seven additional genes that have not previously been described in ALL. Cluster analysis of hundreds of somatic mutations per sample revealed three distinct evolutionary trajectories during ALL progression from diagnosis to relapse. The evolutionary trajectories provide insight into the mutational mechanisms leading relapse in ALL and could offer biomarkers for improved risk prediction in individual patients. |
url |
https://doi.org/10.1038/s41598-021-95109-0 |
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