Literature DB >> 25894600

Can prognostic scoring systems for chronic myeloid leukemia as established in adults be applied to pediatric patients?

David Gurrea Salas1, Ingmar Glauche, Josephine T Tauer, Christian Thiede, Meinolf Suttorp.   

Abstract

In contrast to adult medicine, specific scoring systems predicting the treatment response for an individual pediatric patient (pt) with chronic myeloid leukemia (CML) have not yet been defined. We evaluated to what extend prognostic scores as described for adults (e.g., Sokal, Hasford, EUTOS score) resulted in comparable risk group categorizations in a pediatric cohort. Parameters for score calculation were extracted from a data set of 90 patients enrolled into trial CML-PAED-II and treated by a standard dose of imatinib. At month 3 and at month 6, treatment response was analyzed based on the transcript ratio BCR-ABL1/ABL1. By the EUTOS, Hasford, and Sokal scores 81, 59, and 62 % of the patients were categorized as low risk, respectively; 19, 14, and 16 % of the patients as high risk, respectively; and by Hasford and Sokal scores 27 and 22 % of the patients, respectively, as intermediate risk. Twenty-seven out of 72 patients analyzable (38 %) exhibited a transcript ratio >10 % at month 3. We show that only the EUTOS score, but not the Sokal and Hasford score, correlates with this early outcome (p = 0.008). Analyzing the EUTOS score separately, we can demonstrate that lowering the cutoff from 87 to 48 points for categorization in low- and high-risk individuals increases the odds ratio from 2.4 (95 % CI 0.6 to 10.4) to 3.6 (95 % CI 1.3 to 10.9). Data are provided on the distribution of risk categories and resulting discrepancies when adult scores are applied on children and adolescents with CML at diagnosis. A larger number of patients and longer follow-up are still needed to develop a prognostic score specifically adapted to the pediatric and adolescent age cohorts.

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Mesh:

Year:  2015        PMID: 25894600     DOI: 10.1007/s00277-015-2367-2

Source DB:  PubMed          Journal:  Ann Hematol        ISSN: 0939-5555            Impact factor:   3.673


  10 in total

1.  Pediatric chronic myeloid leukemia is a unique disease that requires a different approach.

Authors:  Nobuko Hijiya; Kirk R Schultz; Markus Metzler; Frederic Millot; Meinolf Suttorp
Journal:  Blood       Date:  2015-10-28       Impact factor: 22.113

2.  Long-term safety and efficacy of imatinib in pediatric patients with chronic myeloid leukemia: single-center experience from China.

Authors:  Yuli Cai; Chao Liu; Ye Guo; Xiaojuan Chen; Li Zhang; Yumei Chen; Yao Zou; Wenyu Yang; Xiaofan Zhu
Journal:  Int J Hematol       Date:  2021-01-01       Impact factor: 2.490

Review 3.  Tyrosine Kinase Inhibitors and Beyond for Chronic Myeloid Leukemia in Children.

Authors:  Lia N Phillips; Nobuko Hijiya
Journal:  Paediatr Drugs       Date:  2021-04-26       Impact factor: 3.022

4.  Outcome prediction of chronic myeloid leukemia (CML) in children.

Authors:  Wing-Yan Leung; Daniel Ka-Leung Cheuk; Frankie Wai-Tsoi Cheng; Alex Wing-Kwan Leung; Ka-Ho Chiu; Karin Kar-Huen Ho; Chak-Ho Li; Godfrey Chi-Fung Chan
Journal:  Ann Hematol       Date:  2022-06-01       Impact factor: 4.030

5.  Prognostic discrimination based on the EUTOS long-term survival score within the International Registry for Chronic Myeloid Leukemia in children and adolescents.

Authors:  Frédéric Millot; Joëlle Guilhot; Meinolf Suttorp; Adalet Meral Güneş; Petr Sedlacek; Eveline De Bont; Chi Kong Li; Krzysztof Kalwak; Birgitte Lausen; Srdjana Culic; Michael Dworzak; Emilia Kaiserova; Barbara De Moerloose; Farah Roula; Andrea Biondi; André Baruchel
Journal:  Haematologica       Date:  2017-08-24       Impact factor: 9.941

Review 6.  Bcr-Abl Tyrosine Kinase Inhibitors in the Treatment of Pediatric CML.

Authors:  Francesca Carofiglio; Antonio Lopalco; Angela Lopedota; Annalisa Cutrignelli; Orazio Nicolotti; Nunzio Denora; Angela Stefanachi; Francesco Leonetti
Journal:  Int J Mol Sci       Date:  2020-06-23       Impact factor: 5.923

7.  Higher red blood cell distribution width at diagnose is a simple negative prognostic factor in chronic phase-chronic myeloid leukemia patients treated with tyrosine kinase inhibitors: A retrospective study.

Authors:  Xia-Li Mao; Ya-Ming Xi; Zi-Jian Li; Ming-Feng Jia; Ming Li; Li-Na Wang; Long Zhao; Hao Zhang
Journal:  Medicine (Baltimore)       Date:  2021-03-12       Impact factor: 1.817

8.  The Cytogenetic Landscape of Pediatric Chronic Myeloid Leukemia Diagnosed in Chronic Phase.

Authors:  Axel Karow; Gudrun Göhring; Stephanie Sembill; Friederike Lutterloh; Fina Neuhaus; Sara Callies; Elke Schirmer; Zofia Wotschofsky; Oisin Roche-Lancaster; Meinolf Suttorp; Manuela Krumbholz; Markus Metzler
Journal:  Cancers (Basel)       Date:  2022-03-28       Impact factor: 6.639

9.  Effectiveness of Three Prognostic Scoring Systems in Predicting the Response and Outcome in Pediatric Chronic Myeloid Leukemia Chronic Phase on Frontline Imatinib.

Authors:  Ranga Raman Ganta; Srividya Nasaka; Vijay Gandhi Linga; Sadashivudu Gundeti; Lakshmi Srinivas Maddali; Raghunadha Rao Digumarti
Journal:  Indian J Med Paediatr Oncol       Date:  2017 Jul-Sep

10.  Children and Adolescents with Chronic Myeloproliferative Neoplasms: Still an Unmet Biological and Clinical Need?

Authors:  Tariq I Mughal; Michael W Deininger; Nicole Kucine; Giuseppe Saglio; Richard A Van Etten
Journal:  Hemasphere       Date:  2019-08-01
  10 in total

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