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PersonALL: a genetic scoring guide for personalized risk assessment in pediatric B-cell precursor acute lymphoblastic leukemia

British Journal of Cancer, ISSN: 1532-1827, Vol: 129, Issue: 3, Page: 455-465
2023
  • 2
    Citations
  • 0
    Usage
  • 10
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    2
  • Captures
    10
  • Mentions
    1
    • News Mentions
      1
      • News
        1

Most Recent News

Semmelweis University Reports Findings in Acute Lymphoblastic Leukemia (PersonALL: a genetic scoring guide for personalized risk assessment in pediatric B-cell precursor acute lymphoblastic leukemia)

2023 JUL 04 (NewsRx) -- By a News Reporter-Staff News Editor at Pediatrics Daily News -- New research on Oncology - Acute Lymphoblastic Leukemia is

Article Description

Background: Recurrent genetic lesions provide basis for risk assessment in pediatric acute lymphoblastic leukemia (ALL). However, current prognostic classifiers rely on a limited number of predefined sets of alterations. Methods: Disease-relevant copy number aberrations (CNAs) were screened genome-wide in 260 children with B-cell precursor ALL. Results were integrated with cytogenetic data to improve risk assessment. Results: CNAs were detected in 93.8% (n = 244) of the patients. First, cytogenetic profiles were combined with IKZF1 status (IKZF1 , IKZF1 and IKZF1 ) and three prognostic subgroups were distinguished with significantly different 5-year event-free survival (EFS) rates, IKAROS-low (n = 215): 86.3%, IKAROS-medium (n = 27): 57.4% and IKAROS-high (n = 18): 37.5%. Second, contribution of genetic aberrations to the clinical outcome was assessed and an aberration-specific score was assigned to each prognostically relevant alteration. By aggregating the scores of aberrations emerging in individual patients, personalized cumulative values were calculated and used for defining four prognostic subgroups with distinct clinical outcomes. Two favorable subgroups included 60% of patients (n = 157) with a 5-year EFS of 96.3% (excellent risk, n = 105) and 87.2% (good risk, n = 52), respectively; while 40% of patients (n = 103) showed high (n = 74) or ultra-poor (n = 29) risk profile (5-year EFS: 67.4% and 39.0%, respectively). Conclusions: PersonALL, our conceptually novel prognostic classifier considers all combinations of co-segregating genetic alterations, providing a highly personalized patient stratification.

Bibliographic Details

Bedics, Gábor; Egyed, Bálint; Kotmayer, Lili; Benard-Slagter, Anne; de Groot, Karel; Bekő, Anna; Hegyi, Lajos László; Bátai, Bence; Krizsán, Szilvia; Kriván, Gergely; Erdélyi, Dániel J; Müller, Judit; Haltrich, Irén; Kajtár, Béla; Pajor, László; Vojcek, Ágnes; Ottóffy, Gábor; Ujfalusi, Anikó; Szegedi, István; Tiszlavicz, Lilla Györgyi; Bartyik, Katalin; Csanádi, Krisztina; Péter, György; Simon, Réka; Hauser, Péter; Kelemen, Ágnes; Sebestyén, Endre; Jakab, Zsuzsanna; Matolcsy, András; Kiss, Csongor; Kovács, Gábor; Savola, Suvi; Bödör, Csaba; Alpár, Donát

Springer Science and Business Media LLC

Medicine; Biochemistry, Genetics and Molecular Biology

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