| Literature DB >> 35269896 |
Monika Lejman1, Aleksandra Chałupnik2, Zuzanna Chilimoniuk2, Maciej Dobosz2.
Abstract
Acute lymphoblastic leukemia (ALL) is a heterogeneous group of hematologic malignancies characterized by abnormal proliferation of immature lymphoid cells. It is the most commonly diagnosed childhood cancer with an almost 80% cure rate. Despite favorable survival rates in the pediatric population, a significant number of patients develop resistance to therapy, resulting in poor prognosis. ALL is a heterogeneous disease at the genetic level, but the intensive development of sequencing in the last decade has made it possible to broaden the study of genomic changes. New technologies allow us to detect molecular changes such as point mutations or to characterize epigenetic or proteomic profiles. This process made it possible to identify new subtypes of this disease characterized by constellations of genetic alterations, including chromosome changes, sequence mutations, and DNA copy number alterations. These genetic abnormalities are used as diagnostic, prognostic and predictive biomarkers that play an important role in earlier disease detection, more accurate risk stratification, and treatment. Identification of new ALL biomarkers, and thus a greater understanding of their molecular basis, will lead to better monitoring of the course of the disease. In this article, we provide an overview of the latest information on genomic alterations found in childhood ALL and discuss their impact on patients' clinical outcomes.Entities:
Keywords: ALL; B-ALL; T-ALL; biomarkers; childhood acute lymphoblastic leukemia
Mesh:
Substances:
Year: 2022 PMID: 35269896 PMCID: PMC8911213 DOI: 10.3390/ijms23052755
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Schematic representation of genetic biomarkers in childhood B-ALL.
The frequency and spectrum of genetic alterations in Ph-like ALL.
| Genetic Alteration Class | Frequency of | Genes Involved | Targeted Therapy | References |
|---|---|---|---|---|
| JAK-STAT signaling | 40% |
| JAK2 inhibitor | [ |
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| JAK1/JAK3 inhibitor | |||
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| TYK2 inhibitor | |||
| ABL-class fusions | 10–15% | Imatinib/dasatinib | [ | |
| RAS pathway mutations | 4% | MEK inhibitors | [ | |
| Rare subtypes | 1% |
| Crizotinib | [ |
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| SYK/MEK inhibitors | |||
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| Dasatinib/sorafenib | |||
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| FAK inhibitors | |||
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| FLT3 inhibitors | |||
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| - |
Figure 2PAX5 partner genes.
Characteristics of B-ALL subtypes.
| Subtype | Genetic | Frequency in Childhood ALL | Frequency in Adult ALL | Prognosis | Targeted Therapy | References |
|---|---|---|---|---|---|---|
| High | Aneuploidy | 30% | 10% | Good prognosis | - | [ |
| Low | Aneuploidy | 10–11% | 10–15% | Poor prognosis | - | [ |
| Near Haploidy | Aneuploidy | 1–2% | - | Poor prognosis | Potential use of PI3K inhibitors | [ |
| Low Hypodiploidy | Aneuploidy | 1–2% | 4% | Poor prognosis | Potential use of PI3K inhibitors | [ |
| High hypodiploidy | Aneuploidy | 2–3% | 7% | Poor prognosis | Potential use of PI3K inhibitors | [ |
| iAMP21 | Amplification | 1.5–2% | 1% | Intermediate prognosis | - | [ |
| Translocation | 3–4% | 15–20% | Poor prognosis | TKI | [ | |
| Ph-like ALL | Gene fusions | 15% | 20–24% | Poor prognosis | TKI, JAK2 inhibitors, JAK1/JAK3 inhibitors, TYK2 inhibitor, Crizotinib, MEK inhibitors, FAK inhibitors, FLT3 inhibitors | [ |
| Translocation | 6% | 6% | Intermediate prognosis | Dasatinib, ruxolitinb | [ | |
| Translocation | <1% | <1% | Intermediate prognosis | Venetoclax | [ | |
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| Deletion/point mutation/gene fusion | 16–27% | 40–50% | Poor prognosis | - | [ |
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| Gene fusions/point mutation | 5% | 5% | Poor prognosis | Potential use of JAK inhibitors | [ |
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| Gene fusions | 4% | 4% | Poor prognosis | HDAC inhibitors, staurosporine, venetoclax | [ |
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| Deletion/hypermethylation | 15–35% | 30–45% | Poor prognosis | CDK4/CDK6 inhibitors | [ |
| Translocation | 25% | <5% | Good prognosis | - | [ | |
| Translocation | 2–3% | <1% | Poor prognosis | - | [ | |
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| Translocation/inversion | 5% | 10% | Poor prognosis | Dot1L, bromodomain, menin, BCL-2, polycomb | [ |
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| Gene fusions | 4–7% | 4–7% | Good prognosis | Possibly | [ |
| Gene fusions/deletion/amplification | 7–10% | 8–10% | Intermediate prognosis | tyrosine kinase inhibitors (NRAS, KRAS, and FLT3) | [ | |
| hotspot mutation (PAX5 p.Pro80Arg mutation) | 3–4% | 1–4% | Intermediate prognosis | Potential use of Ras, JAK/STAT, FLT3, BRAF and PIK3CA inhibitors | [ | |
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| Gene fusions | 3–5% | 3–8% | Intermediate prognosis | FLT3 | [ |
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| Gene fusions | 1% | - | Good prognosis | Bromodomain inhibitors | [ |