Literature DB >> 6956375

Prognostic importance of chromosome number in 136 untreated children with acute lymphoblastic leukemia.

D L Williams, A Tsiatis, G M Brodeur, A T Look, S L Melvin, W P Bowman, D K Kalwinsky, G Rivera, G V Dahl.   

Abstract

Leukemia cell karyotypes were determined at diagnosis for 136 of 159 consecutive patients with acute lymphoblastic leukemia (ALL) who were followed for up to 35 mo. Ninety patients (67%) had abnormal karyotypes. Five chromosome categories were designated, based on the distribution of modal numbers: hyperdiploid greater than 50 (n = 41), hyperdiploid 47-50 (n = 18), pseudodiploid (n = 28), normal (n = 46), and hypodiploid (n = 3). Treatment response was assessed for the categories in terms of time to failure (induction failure, first relapse, or death). Children in the hyperdiploid greater than 50 category had the best responses to treatment, with only 2 failures, and those in the pseudodiploid category had the poorest (p less than 0.001). The remaining 3 chromosome categories had intermediate responses and formed a third prognostic group. This same influence of chromosome number on time to failure was evident within the 2 clinical prognostic groups: high risk, signified by a leukocyte count greater than 100 X 10(9)/liter, meningeal leukemia, mediastinal mass, or the presence of blasts that formed rosettes with sheep erythrocytes at 37 degrees C, and standard risk, indicated by the absence of these features. The influence of chromosome number on time to failure was also the same within the historically favorable prognostic group that had common ALL. Results of a multivariate analysis indicated that chromosome number was the strongest single predictor of outcome (p less than 0.001) and was the only variable that added significant prognostic information to leukocyte count (p less than 0.001). The combination of chromosome number and leukocyte count should more clearly distinguish patients with ALL at low or high risk of relapse.

Entities:  

Mesh:

Substances:

Year:  1982        PMID: 6956375

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  10 in total

1.  Genes contributing to minimal residual disease in childhood acute lymphoblastic leukemia: prognostic significance of CASP8AP2.

Authors:  Christian Flotho; Elaine Coustan-Smith; Deqing Pei; Shotaro Iwamoto; Guangchun Song; Cheng Cheng; Ching-Hon Pui; James R Downing; Dario Campana
Journal:  Blood       Date:  2006-04-20       Impact factor: 22.113

2.  Analysis of DNA ploidy and proliferative activity in relation to histology and N-myc amplification in neuroblastoma.

Authors:  S L Cohn; A W Rademaker; H R Salwen; W A Franklin; F Gonzales-Crussi; S T Rosen; K D Bauer
Journal:  Am J Pathol       Date:  1990-05       Impact factor: 4.307

Review 3.  Is There Etiologic Heterogeneity between Subtypes of Childhood Acute Lymphoblastic Leukemia? A Review of Variation in Risk by Subtype.

Authors:  Lindsay A Williams; Jun J Yang; Betsy A Hirsch; Erin L Marcotte; Logan G Spector
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-02-15       Impact factor: 4.254

4.  Prognostic impact of pretreatment cytogenetics in adult Philadelphia chromosome-negative acute lymphoblastic leukemia in the era of minimal residual disease.

Authors:  Ghayas C Issa; Hagop M Kantarjian; C Cameron Yin; Wei Qiao; Farhad Ravandi; Deborah Thomas; Nicholas J Short; Koji Sasaki; Guillermo Garcia-Manero; Tapan M Kadia; Jorge E Cortes; Naval Daver; Gautam Borthakur; Nitin Jain; Marina Konopleva; Issa Khouri; Partow Kebriaei; Richard E Champlin; Sherry Pierce; Susan M O'Brien; Elias Jabbour
Journal:  Cancer       Date:  2016-10-03       Impact factor: 6.860

5.  Bone metastases of medulloblastoma in childhood; correlation with flow cytometric DNA analysis.

Authors:  T Tomita; L Das; M A Radkowski
Journal:  J Neurooncol       Date:  1990-04       Impact factor: 4.130

6.  Association of near-diploid DNA content and N-myc amplification in neuroblastomas.

Authors:  C Dominici; A Negroni; A Romeo; M A Castello; A Clerico; M Scopinaro; F Mauro; G Raschellà
Journal:  Clin Exp Metastasis       Date:  1989 Mar-Apr       Impact factor: 5.150

7.  Pathway Analysis of Genome-wide Association Study in Childhood Leukemia among Hispanics.

Authors:  Ling-I Hsu; Farren Briggs; Xiaorong Shao; Catherine Metayer; Joseph L Wiemels; Anand P Chokkalingam; Lisa F Barcellos
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-03-03       Impact factor: 4.254

Review 8.  Neuroblastoma stage IV-S.

Authors:  T D Miale; K Kirpekar
Journal:  Med Oncol       Date:  1994       Impact factor: 3.064

Review 9.  Advances in the Diagnosis and Treatment of Pediatric Acute Lymphoblastic Leukemia.

Authors:  Hiroto Inaba; Ching-Hon Pui
Journal:  J Clin Med       Date:  2021-04-29       Impact factor: 4.241

10.  Cell kinetics in acute lymphoblastic leukaemia: comparative analysis between adults and children.

Authors:  M Ffrench; J P Magaud; A M Manel; P Adeleine; Y Devaux; D Fiere; N Philippe; G Souillet; P A Bryon
Journal:  Br J Cancer       Date:  1989-03       Impact factor: 7.640

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.