Solving Riddles Through Sequencing (SIRIUS): unlocking hematologic diagnoses by whole genome and transcriptome sequencing

In the rapidly evolving field of hematology, the diagnosis of leukemias and lymphomas poses major challenges, despite significant genetic advancements. Although established diagnostic methods comprise a multidisciplinary approach and are considered gold standard, in some cases they fall short in conclusively identifying hematological neoplasms. In this context, the current SIRIUS study (NCT05046444) delves into the potential of whole genome sequencing (WGS) and whole transcriptome sequencing (WTS) to bridge diagnostic gaps. By analyzing 106 patients with an unclear diagnosis or clinical condition following gold standard diagnostics, our study demonstrates that WGS and WTS can uncover a broader range of somatic alterations, including rare single-nucleotide variants (SNVs), small copy number variations (CNVs), and aberrant gene expression patterns not detected by conventional diagnostics. WGS and WTS provided additional diagnostic insights in 25% of cases, suggesting their value not only in enhancing diagnostic accuracy but also in contributing to more informed prognostic assessments and personalized treatment strategies. Therefore, our study underscores the importance of integrating WGS and WTS into the diagnostic toolbox for hematological neoplasms. This approach promises not only to improve patient outcomes but also to do so in a manner that is both financially sustainable and ethically sound.

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Publication Details

Journal
Leukemia
Published
2025-12-19
DOI
https://doi.org/10.1038/s41375-025-02820-2
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
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article

Solving Riddles Through Sequencing (SIRIUS): unlocking hematologic diagnoses by whole genome and transcriptome sequencing

Gero Massenkeil, Marietta Truger, Uwe M. Martens, Constanze Kühn et al.
Leukemia
Acute Myeloid Leukemia Research
article

Solving Riddles Through Sequencing (SIRIUS): unlocking hematologic diagnoses by whole genome and transcriptome sequencing

Gero Massenkeil, Marietta Truger, Uwe M. Martens, Constanze Kühn, Andreas Reiter, Andreas Hochhaus, Manja Meggendorfer, Torsten Haferlach, Wolfgang Kern, Winfried Alsdorf, Wencke Walter, Katharina Hörst, Stephan Hütter
article en

Abstract

In the rapidly evolving field of hematology, the diagnosis of leukemias and lymphomas poses major challenges, despite significant genetic advancements. Although established diagnostic methods comprise a multidisciplinary approach and are considered gold standard, in some cases they fall short in conclusively identifying hematological neoplasms. In this context, the current SIRIUS study (NCT05046444) delves into the potential of whole genome sequencing (WGS) and whole transcriptome sequencing (WTS) to bridge diagnostic gaps. By analyzing 106 patients with an unclear diagnosis or clinical condition following gold standard diagnostics, our study demonstrates that WGS and WTS can uncover a broader range of somatic alterations, including rare single-nucleotide variants (SNVs), small copy number variations (CNVs), and aberrant gene expression patterns not detected by conventional diagnostics. WGS and WTS provided additional diagnostic insights in 25% of cases, suggesting their value not only in enhancing diagnostic accuracy but also in contributing to more informed prognostic assessments and personalized treatment strategies. Therefore, our study underscores the importance of integrating WGS and WTS into the diagnostic toolbox for hematological neoplasms. This approach promises not only to improve patient outcomes but also to do so in a manner that is both financially sustainable and ethically sound.

LeukemiaVol. 40(1)
Universität Hamburg (DE), Heidelberg University (DE), University Hospital Heidelberg (DE), Munich Leukemia Laboratory (Germany) (DE), University Medical Center Hamburg-Eppendorf (DE), Landschaftsverband Westfalen-Lippe (DE), Jena University Hospital (DE), SLK-Kliniken Heilbronn (DE)
Openalex Percentile: Top 39%
Acute Myeloid Leukemia Research
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