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Peer-reviewedCC BYJournal of the colleges of medicine of South Africa

The genetic profile of B-cell acute lymphoblastic leukaemia diagnosed in Pretoria, South Africa: A 10-year retrospective study.

  1. 1Department of Haematology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
  2. 2Department of Haematology, Tshwane Academic Division, National Health Laboratory Services, Pretoria, South Africa.

Abstract

Background

B-cell acute lymphoblastic leukaemia (B-ALL) comprises genetically distinct subtypes with important prognostic implications. South African data suggest a different genetic landscape to other geographic regions, with a higher frequency of t(1;19). This study aimed to describe the genetic profile of B-ALL diagnosed at a South African tertiary haematology laboratory over a 10-year period.Methods

In this retrospective, descriptive study, all B-ALL cases (2014-2023) recorded in flow cytometry and cancer registries were identified. Demographic and laboratory data, including immunophenotypic and genetic findings, were extracted from the laboratory information system. Genetic work-up included karyotyping, a routine fluorescence in situ hybridisation panel: KMT2A rearrangement, t(1;19), t(12;21) and t(9;22), and real-time quantitative polymerase chain reaction where available.Results

A total of 173 patients were included (54.9% male; 75.7% < 19 years). Genetic testing was requested in 146 cases (84.4%), with definitive results in 115 (78.8%). Among informative cases, t(1;19) was most frequent (26.1%), followed by t(9;22) (12.2%), t(12;21) (10.4%), high hyperdiploidy (9.6%), KMT2A rearrangement (7.0%) and hypodiploidy (0.9%). The t(1;19) translocation predominated in paediatric patients, while t(9;22) was more common in adults. Both t(12;21) and KMT2A rearrangements were restricted to patients < 19 years.Conclusion

This cohort demonstrates a high frequency of t(1;19) and age-specific variation in B-ALL genetic subtypes, suggesting a distinct regional genetic profile. Expanded diagnostic testing and multicentre African studies are needed to refine risk stratification and guide context-appropriate care.Contribution

This study provides data on the distribution of selected genetic subtypes of B-ALL in a South African population, identifying differences in subtype frequency and age distribution that may inform regional diagnostic strategies and risk-directed care.

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BibTeX
@article{olivier2026genetic,
  title = {{The genetic profile of B-cell acute lymphoblastic leukaemia diagnosed in Pretoria, South Africa: A 10-year retrospective study.}},
  author = {Kirsten Olivier and Annelli Marais and Keryn Thompson and Amery Badenhorst and Angela Tennant and Joachim Potgieter},
  journal = {Journal of the colleges of medicine of South Africa},
  year = {2026},
  month = oct,
  doi = {10.4102/jcmsa.v4i1.432},
  url = {https://europepmc.org/article/MED/43011188},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - The genetic profile of B-cell acute lymphoblastic leukaemia diagnosed in Pretoria, South Africa: A 10-year retrospective study.
AU  - Kirsten Olivier
AU  - Annelli Marais
AU  - Keryn Thompson
AU  - Amery Badenhorst
AU  - Angela Tennant
AU  - Joachim Potgieter
PY  - 2026
DA  - 2026/10/13
JO  - Journal of the colleges of medicine of South Africa
DO  - 10.4102/jcmsa.v4i1.432
UR  - https://europepmc.org/article/MED/43011188
AB  - Background  B-cell acute lymphoblastic leukaemia (B-ALL) comprises genetically distinct subtypes with important prognostic implications. South African data suggest a different genetic landscape to other geographic regions, with a higher frequency of t(1;19). This study aimed to describe the genetic profile of B-ALL diagnosed at a South African tertiary haematology laboratory over a 10-year period.Methods  In this retrospective, descriptive study, all B-ALL cases (2014-2023) recorded in flow cytometry and cancer registries were identified. Demographic and laboratory data, including immunophenotypic and genetic findings, were extracted from the laboratory information system. Genetic work-up included karyotyping, a routine fluorescence in situ hybridisation panel: KMT2A rearrangement, t(1;19), t(12;21) and t(9;22), and real-time quantitative polymerase chain reaction where available.Results  A total of 173 patients were included (54.9% male; 75.7% < 19 years). Genetic testing was requested in 146 cases (84.4%), with definitive results in 115 (78.8%). Among informative cases, t(1;19) was most frequent (26.1%), followed by t(9;22) (12.2%), t(12;21) (10.4%), high hyperdiploidy (9.6%), KMT2A rearrangement (7.0%) and hypodiploidy (0.9%). The t(1;19) translocation predominated in paediatric patients, while t(9;22) was more common in adults. Both t(12;21) and KMT2A rearrangements were restricted to patients < 19 years.Conclusion  This cohort demonstrates a high frequency of t(1;19) and age-specific variation in B-ALL genetic subtypes, suggesting a distinct regional genetic profile. Expanded diagnostic testing and multicentre African studies are needed to refine risk stratification and guide context-appropriate care.Contribution  This study provides data on the distribution of selected genetic subtypes of B-ALL in a South African population, identifying differences in subtype frequency and age distribution that may inform regional diagnostic strategies and risk-directed care.
SN  - 2960-110X
ER  -