Preferential Genetic Pathways Lead to Relapses in Adult B-Cell Acute Lymphoblastic Leukemia
2024

Genetic Pathways Leading to Relapses in Adult B-Cell Acute Lymphoblastic Leukemia

Sample size: 44 publication Evidence: high

Author Information

Author(s): Navas-Acosta Josgrey, Hernández-Sánchez Alberto, González Teresa, Villaverde Ramiro Ángela, Santos Sandra, Miguel Cristina, Ribera Jordi, Granada Isabel, Morgades Mireia, Sánchez Ricardo, Such Esperanza, Barrena Susana, Ciudad Juana, Dávila Julio, de Las Heras Natalia, García-de Coca Alfonso, Labrador Jorge, Queizán José Antonio, Martín Sandra, Orfao Alberto, Ribera Josep-María, Benito Rocío, Hernández-Rivas Jesús María

Primary Institution: IBSAL, IBMCC, CSIC, Centro de Investigación del Cáncer, University of Salamanca

Hypothesis

What genetic alterations drive relapse in adult B-cell acute lymphoblastic leukemia (B-ALL)?

Conclusion

The study identified four main genetic pathways leading to relapse in adult B-ALL, highlighting the need for personalized therapeutic strategies.

Supporting Evidence

  • Forty-four adult B-ALL patients were studied at both diagnosis and relapse.
  • Four main genetic pathways leading to relapse were identified: IKZF1plus profile, RAS mutations, TP53 alterations, and ABL1 mutations.
  • 88% of patients with IKZF1plus at diagnosis retained this genetic profile at relapse.
  • 86% of Ph-positive patients acquired ABL1 mutations at relapse.
  • Three clonal evolution patterns were identified: persistent clone, expanding clone, and therapy-boosted trajectory.

Takeaway

This study looked at 44 adults with leukemia and found that certain genetic changes can make the disease come back after treatment.

Methodology

Next-generation sequencing was used to analyze genetic alterations in paired samples from diagnosis and relapse.

Limitations

The study had a high percentage of patients classified as B-other, which may limit the findings.

Participant Demographics

Median age was 42 years, with a range from 18 to 72 years.

Statistical Information

P-Value

p<0.001

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.3390/cancers16244200

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