Home LiteratureArticle Details
PMID: 8558195 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Uniform approach to risk classification and treatment assignment for children with acute lymphoblastic leukemia.

Smith M, Arthur D, Camitta B, Carroll AJ, Crist W, Gaynon P, Gelber R, Heerema N, Korn EL, Link M, Murphy S, Pui CH, Pullen J, Reamon G, Sallan SE, Sather H, Shuster J, Simon R, Trigg M, Tubergen D, Uckun F, Ungerleider R

Abstract

To define more uniform criteria for risk-based treatment assignment for children with acute lymphoblastic leukemia (ALL), the Cancer Therapy Evaluation Program (CTEP) of the National Cancer Institute (NCI) sponsored a workshop in September 1993. Participants included representatives from the Childrens Cancer Group (CCG), Pediatric Oncology Group (POG), Dana-Farber Cancer Institute (DFCI), St Jude Children's Research Hospital (SJCRH), and the CTEP. Workshop participants presented and reviewed data from ALL clinical trials, using weighted averages to combine outcome data from different groups. For patients with B-precursor (ie, non-T, non-B) ALL, the standard-risk category (4-year event-free survival [EFS] rate, approximately 80%) will include patients 1 to 9 years of age with a WBC count at diagnosis less than 50,000/microL. The remaining patients will be classified as having high-risk ALL (4-year EFS rate, approximately 65%). For patients with T-cell ALL, different treatment strategies have yielded different conclusions concerning the prognostic significance of T-cell immunophenotype. Therefore, some groups/institutions will classify patients with T-cell ALL as high risk, while others will assign risk for patients with T-cell ALL based on the uniform age/WBC count criteria. Workshop participants agreed that the risk category of a patient may be modified by prognostic factors in addition to age and WBC count criteria, and that a common set of prognostic factors should be uniformly obtained, including DNA index (DI), cytogenetics, early response to treatment (eg, day-14 bone marrow), immunophenotype, and CNS status. The more uniform approach to risk-based treatment assignment and to collection of specific prognostic factors should increase the efficiency of future ALL clinical research.

MeSH Terms
Adolescent Age Factors Central Nervous System Diseases/etiology Child Child, Preschool Cytogenetics/methods DNA, Neoplasm/analysis Disease-Free Survival Humans Immunophenotyping Infant Karyotyping Leukocyte Count Precursor Cell Lymphoblastic Leukemia-Lymphoma/classification,complications,mortality,therapy Prognosis Risk Factors Treatment Outcome
Chemicals
DNA, Neoplasm
Authors & Affiliations
22 authors, click to expand affiliations / ORCID
Smith M
Cancer Therapy Evaluation Program, National Cancer Institute, Bethesda, MD 20892, USA.
Arthur D
Camitta B
Carroll A J
Crist W
Gaynon P
Gelber R
Heerema N
Korn E L
Link M
Murphy S
Pui C H
Pullen J
Reamon G
Sallan S E
Sather H
Shuster J
Simon R
Trigg M
Tubergen D
Uckun F
Ungerleider R
Article Info
Journal
Journal of clinical oncology : official journal of the American Society of Clinical Oncology
Abbr.
J Clin Oncol
ISSN
0732-183X
Published
1996-01-00
Pages
18-24
Language
English
Region
United States
NLM ID
8309333
Subset
IM
Grants
NCI NIH HHS · CA 13539 · United States
NCI NIH HHS · CA 29139 · United States
NCI NIH HHS · CA 30969 · United States
Corrections
CommentIn
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com