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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Autores principales: 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
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/df7f00d635d847359cec38029b48a552
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spelling oai:doaj.org-article:df7f00d635d847359cec38029b48a5522021-12-02T14:53:34ZMutational patterns and clonal evolution from diagnosis to relapse in pediatric acute lymphoblastic leukemia10.1038/s41598-021-95109-02045-2322https://doaj.org/article/df7f00d635d847359cec38029b48a5522021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95109-0https://doaj.org/toc/2045-2322Abstract 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.Shumaila SayyabAnders LundmarkMalin LarssonMarkus RingnérSara NystedtYanara Marincevic-ZunigaKatja Pokrovskaja TammJonas AbrahamssonLinda FogelstrandMats HeymanUlrika Norén-NyströmGudmar LönnerholmArja Harila-SaariEva C. BerglundJessica NordlundAnn-Christine SyvänenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-17 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
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
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.
format article
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
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 Portfolio
publishDate 2021
url https://doaj.org/article/df7f00d635d847359cec38029b48a552
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