RNA‐sequencing: A reliable tool to unveil transcriptional landscape of paediatric B‐other acute lymphoblastic leukaemia

B-cell precursor acute lymphoblastic leukaemia (BCP-ALL) comprises multiple subtypes characterized by different genetic alterations. With the use of current standard-of-care tests used in clinical practice, 20%-30% of the cases may not be classified into the main genetic subtypes and additional approaches are needed. These patients are grouped in the heterogeneous category B-other ALL. Transcriptome sequencing (RNA-seq) has allowed the identification of novel fusion genes and gene expression profiles that define new molecular subtypes. We present RNA-seq results integrated, in a real-world scenario, with clinical routine diagnostic data to identify new biomarkers and reclassify a cohort of 60 B-other ALL patients in the newly described genetic subtypes. Overall, 49 rearrangements were identified, including 32 different fusion genes in 41 B-other patients (68%). Moreover, we reported six novel rearrangements (IGK::PAX5, PAX5::IL1RAPL1, ETV6::KRT78, IGH::HIC1, IGH::MIR100HG and NKAIN4::PNPLA7). The integration of RNA-seq results with standard-of-care data allowed us to classify 72% of the patients (43/60) in 11 different subtypes, being DUX4 rearranged and PAX5alt the most represented subtypes. In summary, RNA-seq is a reliable tool for the identification of new emerging genetic subtypes contributing to a better genetic risk stratification of BCP-ALL paediatric patients on the path towards a more personalized medicine.

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Publication Details

Journal
British Journal of Haematology
Published
2025-03-30
DOI
https://doi.org/10.1111/bjh.20056
Citations
1
Primary Topic
Acute Lymphoblastic Leukemia research
Type
article
Field-Weighted Citation Impact
1.88

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article

RNA‐sequencing: A reliable tool to unveil transcriptional landscape of paediatric B‐other acute lymphoblastic leukaemia

Ignacio Isola, Sara Montesdeoca, Susana Rives, Edurne Sarrate et al.
1 citations
British Journal of Haematology
Acute Lymphoblastic Leukemia research
1.88
article

RNA‐sequencing: A reliable tool to unveil transcriptional landscape of paediatric B‐other acute lymphoblastic leukaemia

Ignacio Isola, Sara Montesdeoca, Susana Rives, Edurne Sarrate, Nerea Vega‐García, Guerau Fernández, José Luís Dapena, Mireia Camós, Elena Esperanza‐Cebollada, Esther Cuatrecasas, Clara Vicente‐Garcés, Mercè Richarte‐Franqués, Alba Crespo‐Carrasco
article en
1 citations

Abstract

B-cell precursor acute lymphoblastic leukaemia (BCP-ALL) comprises multiple subtypes characterized by different genetic alterations. With the use of current standard-of-care tests used in clinical practice, 20%-30% of the cases may not be classified into the main genetic subtypes and additional approaches are needed. These patients are grouped in the heterogeneous category B-other ALL. Transcriptome sequencing (RNA-seq) has allowed the identification of novel fusion genes and gene expression profiles that define new molecular subtypes. We present RNA-seq results integrated, in a real-world scenario, with clinical routine diagnostic data to identify new biomarkers and reclassify a cohort of 60 B-other ALL patients in the newly described genetic subtypes. Overall, 49 rearrangements were identified, including 32 different fusion genes in 41 B-other patients (68%). Moreover, we reported six novel rearrangements (IGK::PAX5, PAX5::IL1RAPL1, ETV6::KRT78, IGH::HIC1, IGH::MIR100HG and NKAIN4::PNPLA7). The integration of RNA-seq results with standard-of-care data allowed us to classify 72% of the patients (43/60) in 11 different subtypes, being DUX4 rearranged and PAX5alt the most represented subtypes. In summary, RNA-seq is a reliable tool for the identification of new emerging genetic subtypes contributing to a better genetic risk stratification of BCP-ALL paediatric patients on the path towards a more personalized medicine.

British Journal of HaematologyVol. 206(5)
Hospital Sant Joan de Déu Barcelona (ES), Instituto de Salud Carlos III (ES), Departament de Salut (ES), Centre for Biomedical Network Research on Rare Diseases (ES), Instituto de Investigación de Enfermedades Raras (ES), Institut de Recerca Sant Joan de Déu, Universitat de Barcelona (ES)
Instituto de Salud Carlos III
Openalex Percentile: Top 17%
Acute Lymphoblastic Leukemia research
1.88
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