AI Article Synopsis

  • This study introduces a novel copy-number alteration (CNA) risk-index for children with acute lymphoblastic leukemia (ALL) treated under the ALLIC-BFM protocol in Greece, analyzing 85 out of 227 patients to improve genomic risk stratification.
  • The patients were categorized into Good-risk (GR) with fewer or no gene deletions, and Poor-risk (PR) with significant deletions; results showed a stark difference in event-free survival (EFS) between the two groups (96.0% for GR vs. 57.6% for PR).
  • The research indicates that the CNA-profile serves as a critical predictor of outcomes, improving existing risk stratification methods in clinical protocols for ALL treatment.

Article Abstract

We present our data of a novel proposed CNA-profile risk-index, applied on a Greek ALLIC-BFM-treated cohort, aiming at further refining genomic risk-stratification. Eighty-five of 227 consecutively treated ALL patients were analyzed for the copy-number-status of eight genes (IKZF1/CDKN2A/2B/PAR1/BTG1/EBF1/PAX5/ETV6/RB1). Using the MLPA-assay, patients were stratified as: (1) Good-risk(GR)-CNA-profile ( = 51), with no deletion of IKZF1/CDKN2A/B/PAR1/BTG1/EBF1/PAX5/ETV6/RB1 or isolated deletions of ETV6/PAX5/BTG1 or ETV6 deletions with a single additional deletion of BTG1/PAX5/CDKN2A/B. (2) Poor-risk(PR)-CNA-profile ( = 34), with any deletion of ΙΚΖF1/PAR1/EBF1/RB1 or any other CΝΑ. With a median follow-up time of 49.9 months, EFS for GR-CNA-profile and PR-CNA-profile patients was 96.0% vs. 57.6% ( < 0.001). For IR-group and HR-group patients, EFS for the GR-CNA/PR-CNA subgroups was 100.0% vs. 60.0% ( < 0.001) and 88.2% vs. 55.6% ( = 0.047), respectively. Among FC-MRD + patients (MRD ≥ 10), EFS rates were 95.3% vs. 51.7% for GR-CNA/PR-CNA subjects ( < 0.001). Similarly, among FC-MRD + patients (MRD ≥ 10), EFS was 92.9% vs. 27.3% ( < 0.001) and for patients FC-MRD - (MRD < 10), EFS was 97.2% vs. 72.7% ( = 0.004), for GR-CNA/PR-CNA patients, respectively. In a multivariate analysis, the CNA-profile was the most important outcome predictor. In conclusion, the CNA-profile can establish a new genomic risk-index, identifying a distinct subgroup with increased relapse risk among the IR-group, as well as a subgroup of patients with superior prognosis among HR-patients. The CNA-profile is feasible in BFM-based protocols, further refining MRD-based risk-stratification.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268490PMC
http://dx.doi.org/10.3390/cancers13133289DOI Listing

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