ArticleBMC genomics2022
Ectopic expression of a combination of 5 genes detects high risk forms of T-cell acute lymphoblastic leukemia.
Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Mitochondrial dysfunction fuels drug resistance in adult T-cell acute lymphoblastic leukemia.Journal of translational medicine · 2025Trial
- Metabolomic insights into pathogenesis and therapeutic potential in adult acute lymphoblastic leukemia.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Individual disruption of 12 testis-enriched genes via the CRISPR/Cas9 system does not affect the fertility of male mice.Journal of reproductive immunology · 2024Article
- Aberrant activation of five embryonic stem cell-specific genes robustly predicts a high risk of relapse in breast cancers.BMC genomics · 2023Article
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundT cell acute lymphoblastic leukemia (T-ALL) defines a group of hematological malignancies with heterogeneous aggressiveness and highly variable outcome, making therapeutic decisions a challenging task. We tried to discover new predictive model for T-ALL before treatment by using a specific pipeline designed to discover aberrantly active gene.
resultsThe expression of 18 genes was significantly associated with shorter survival, including ACTRT2, GOT1L1, SPATA45, TOPAZ1 and ZPBP (5-GEC), which were used as a basis to design a prognostic classifier for T-ALL patients. The molecular characterization of the 5-GEC positive T-ALL unveiled specific characteristics inherent to the most aggressive T leukemic cells, including a drastic shut-down of genes located on the mitochondrial genome and an upregulation of histone genes, the latter characterizing high risk forms in adult patients. These cases fail to respond to the induction treatment, since 5-GEC either predicted positive minimal residual disease (MRD) or a short-term relapse in MRD negative patients.
conclusionOverall, our investigations led to the discovery of a homogenous group of leukemic cells with profound alterations of their biology. It also resulted in an accurate predictive tool that could significantly improve the management of T-ALL patients.
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