ATM Mutations in Chronic Lymphocytic Leukemia: Do They Predict Early Treatment Needs?

Recent research has shed light on the significance of genetic alterations in chronic lymphocytic leukemia (CLL), a common type of blood cancer. While certain genetic changes, such as the deletion of part of chromosome 11 (del(11q)), are known to be associated with a more aggressive disease course, the role of ATM gene mutations has remained unclear.
A large-scale study published in the journal Leukemia analyzed 3,631 untreated CLL patients from multiple European centers. Coordinated by the European Research Initiative on CLL (ERIC) as part of the HARMONY Alliance, the research aimed to determine whether ATM mutations could predict the time to first treatment (TTFT), a critical measure of disease progression.
The study found that ATM mutations were present in about 7% of patients, often co-occurring with del(11q). Interestingly, the mutational patterns varied depending on other genetic factors, such as the immunoglobulin heavy variable (IGHV) gene status. For instance, ATM mutations frequently appeared alongside mutations in genes like SF3B1 and NFKBIE in patients with mutated IGHV genes (M-CLL). Conversely, in patients with unmutated IGHV genes (U-CLL), ATM mutations were mostly mutually exclusive with TP53 mutations and trisomy 12.
While patients with ATM-related abnormalities, including mutations and/or del(11q), experienced a shorter TTFT, the study's detailed analysis revealed that only del(11q) independently predicted earlier treatment needs after adjusting for other genetic factors. This was especially notable in M-CLL patients, who generally have a better prognosis.
The findings suggest that ATM mutations alone are not sufficient predictors of disease progression. Instead, the deletion of 11q remains a more powerful indicator for identifying high-risk patients. This insight enhances the ability of clinicians to stratify patient risk more accurately and tailor their treatment strategies effectively.
Overall, this research emphasizes the importance of del(11q) over ATM mutations alone as a prognostic marker in CLL, helping to refine disease management and improve outcomes.
Stay Updated with Mia's Feed
Get the latest health & wellness insights delivered straight to your inbox.
Related Articles
Innovative Test Aims to Personalize Rheumatoid Arthritis Treatment with Predictive Biologics
A breakthrough machine learning approach promises to revolutionize rheumatoid arthritis treatment by accurately predicting the most effective biologic therapy for each patient, reducing trial-and-error and improving outcomes.
Reevaluating Phototherapy in Neonatal Jaundice: The Impact of Skin Color on Treatment Effectiveness
Emerging research suggests that skin pigmentation significantly influences the effectiveness of phototherapy in treating neonatal jaundice, highlighting the need for personalized approaches for diverse skin tones.
Potential Risks of Prescription Drugs on Elite Cyclists Under Investigation
University of Kent researchers are investigating the potential dangers and performance-enhancing effects of tapentadol and dihydrocodeine on elite cyclists, with findings expected in 2026. Source: https://medicalxpress.com/news/2025-05-potentially-dangerous-effects-prescription-drugs.html
Revolutionizing Preventive Healthcare with AI-Enhanced Wearable Sensors
Explore how AI-powered wearable sensors are revolutionizing preventive health care by enabling real-time monitoring, accurate labor prediction, and stress management through advanced data analysis.



