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Updated: Feb 15, 2026

Murine Model of Leukemia Relapse to Induction Chemotherapy for Acute Lymphoblastic Leukemia
Published on: October 17, 2025
[Acute lymphoblastic leukemia: a genomic perspective].
Silvia Jiménez-Morales1, Alfredo Hidalgo-Miranda1, Julián Ramírez-Bello2
1Laboratorio de Genómica del Cáncer, Instituto Nacional de Medicina Genómica, Cuidad de México, México.
Genomic tools aid in identifying high-risk acute lymphoblastic leukemia (ALL) patients and predicting chemotherapy adverse reactions. This enables personalized treatment, like adjusting mercaptopurine dosage based on TPMT gene variations.
Area of Science:
- Genomics
- Oncology
- Pharmacogenomics
Background:
- Genomic sequencing technologies offer insights into human genome structure and clinical applications.
- Acute lymphoblastic leukemia (ALL) is a common pediatric cancer where genomic data can improve patient management.
Purpose of the Study:
- To review the genomic landscape of ALL.
- To highlight genomic strategies for identifying clinical biomarkers.
- To discuss the potential for personalized therapeutic schemes in ALL.
Main Methods:
- Review of current genomic technologies and their application in ALL.
- Identification of specific genetic variations, such as single nucleotide polymorphisms (SNPs).
- Analysis of gene variants impacting drug metabolism and toxicity.
Main Results:
- Genomic tools can detect patients at high risk of relapse (minimal residual disease).
- Genetic profiling identifies individuals susceptible to adverse chemotherapy reactions.
- TPMT gene variations necessitate significant mercaptopurine dose reduction to prevent toxicity.
Conclusions:
- Genomic approaches are crucial for risk stratification and personalized treatment in ALL.
- Biomarker discovery through genomics enhances patient-tailored therapeutic strategies.
- Pharmacogenomic insights, like TPMT genotyping, are vital for safe and effective ALL treatment.
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