4.7 Article

Ectopic expression of a combination of 5 genes detects high risk forms of T-cell acute lymphoblastic leukemia

期刊

BMC GENOMICS
卷 23, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s12864-022-08688-1

关键词

T-ALL; Tissue-specific genes; Prognosis; Transcriptomic profile

资金

  1. National Natural Science Foundation of China [81670147, 81570178, Antrag M-0377]
  2. Shanghai Municipal Education Commission-Major Project for Scientific Research and Innovation Plan of Natural Science [2021-01-07-00-02-E00091]
  3. International Cooperation Projects of Shanghai Science and Technology Committee [21430711800]
  4. ARC [PGA1RF2019208471]
  5. ANR Episperm4 program
  6. Fondation ARC 'Canc'air' project [RAC16042CLA]
  7. Plan Cancer [CH7-INS15B66, C7H-KIC19N30IAB, ASC16012CSA]
  8. INCa-IReSP [R19051CC]
  9. University Grenoble Alpes [ANR-15-IDEX-02]
  10. Cancer ITMO (Multi-Organisation Thematic Institute) of the French Alliance for Life Sciences and Health (AVIESAN) MIC 2021-2024 program

向作者/读者索取更多资源

By discovering 18 genes associated with shorter survival, we have developed a prognostic classifier for T-ALL patients that can improve therapeutic decisions. Additionally, our study has revealed specific biological characteristics of aggressive T leukemic cells, providing insights for better understanding and management of the disease.
Background T 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. Results The 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. Conclusion Overall, 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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