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Linking genomic lesions with minimal residual disease improves prognostic stratification in children with T-cell acute lymphoblastic leukaemia

Authors :
La Starza, R
Lettieri, A
Pierini, V
Nofrini, V
Gorello, P
Songia, S
Crescenzi, B
Te Kronnie, G
Giordan, M
Leszl, A
Valsecchi, M
Aversa, F
Basso, G
Biondi, A
Conter, V
Cazzaniga, G
Mecucci, C
LETTIERI, ANTONELLA
VALSECCHI, MARIA GRAZIA
BIONDI, ANDREA
CAZZANIGA, GIOVANNI ITALO
Mecucci, C.
La Starza, R
Lettieri, A
Pierini, V
Nofrini, V
Gorello, P
Songia, S
Crescenzi, B
Te Kronnie, G
Giordan, M
Leszl, A
Valsecchi, M
Aversa, F
Basso, G
Biondi, A
Conter, V
Cazzaniga, G
Mecucci, C
LETTIERI, ANTONELLA
VALSECCHI, MARIA GRAZIA
BIONDI, ANDREA
CAZZANIGA, GIOVANNI ITALO
Mecucci, C.
Publication Year :
2013

Abstract

Multiple lesions in genes that are involved in cell cycle control, proliferation, survival and differentiation underlie T-cell acute lymphoblastic leukaemia (T-ALL). We translated these biological insights into clinical practice to improve diagnostic work-ups and patient management. Combined interphase fluorescence in situ hybridization (CI-FISH), single nucleotide polymorphism (SNP), and gene expression profiles (GEP) were applied in 51 children with T-ALL who were stratified according to minimal residual disease (MRD) risk categories (AIEOP-BFM ALL2000). CI-FISH identified type A abnormalities in 90% of patients. Distribution of each was in line with the estimated incidence in childhood T-ALL: 37.5% TAL/LMO, 22.5% HOXA, 20% TLX3, 7.5% TLX1, and 2.5% NKX2-1. GEP predictions concurred. SNP detected type B abnormalities in all cases, thus linking type A and B lesions. This approach provided an accurate, comprehensive genomic diagnosis and a complementary GEP-based classification of T-ALL in children. Dissecting primary and secondary lesions within MRD categories could improve prognostic criteria for the majority of patients and be a step towards personalized diagnosis.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1308905570
Document Type :
Electronic Resource