Cytogenetic aberrations in adult acute lymphocytic leukemia: optimal technique may influence the results

Citation
Rk. Pedersen et al., Cytogenetic aberrations in adult acute lymphocytic leukemia: optimal technique may influence the results, CANC GENET, 128(1), 2001, pp. 7-10
Citations number
12
Categorie Soggetti
Onconogenesis & Cancer Research
Journal title
CANCER GENETICS AND CYTOGENETICS
ISSN journal
01654608 → ACNP
Volume
128
Issue
1
Year of publication
2001
Pages
7 - 10
Database
ISI
SICI code
0165-4608(20010701)128:1<7:CAIAAL>2.0.ZU;2-I
Abstract
The aim of the present study was to analyse the distribution of cytogenetic aberrations in adult ALL in a population based material and compare the re sults with literature data. Forty-one patients were diagnosed during a 12-y ear period. The age varied between 14 and 82 (mean 37, median 32). Thirty-t wo patients were cytogenetically investigated and in all cases analysable m etaphases were obtained (range 10-29, mean 24, median 25, success rate: 100 %). Nine (28%) patients had a T-phenotype and 23 (72%) had a pre-B phenotyp e. High hyperdiploidy was found in four patients (13%). Hypodiploidy was fo und in 5 patients (16%), 10 (31%) had a pseudodiploid chromosome mode and f our (13%) showed low hyperdiploidy (chromosome mode 47-51). Chromosomes 10 and 18 were most frequently involved in numerical aberrations. Structural a berrations most frequently involved chromosomes 6, 9 and 22. t(9;22) was se en in six cases (19%), del(6q) in five cases (16%) and der(9p) in five case s (16%). High hyperdiploid clones, which are associated with a favorable pr ognosis, were found with the same frequency as in other studies. The freque ncy of t(9;22) was 19% in our study, others have found frequencies between 11% and 30%. Compared to previously published studies our patients with t(9 ;22) were younger. Furthermore, those with del(6q) were older, showing a me dian age equivalent to the patient group as a whole. The differences betwee n our data and previously published studies may be explained by population- based derived data and especially by an optimal technique in obtaining meta phases. (C) 2001 Elsevier Science Inc. All rights reserved.