Back to Search Start Over

Genetic landscape of ultra-stable chronic lymphocytic leukemia patients

Authors :
I. Del Giudice
Francesca Romana Mauro
Antonio Cuneo
Nadia Peragine
Robin Foà
Andrea Visentin
Mykola Bordyuh
Monica Messina
Marilisa Marinelli
Anna Guarini
Sara Raponi
Sabina Chiaretti
Silvia Bonina
Stefano Molica
Luciana Cafforio
Caterina Ilari
D. Rossi
Gian Matteo Rigolin
Massimo Gentile
Alfonso Piciocchi
Simona Tavolaro
Gianluca Gaidano
Raul Rabadan
Paola Mariglia
Fary Diop
Jiguang Wang
Livio Trentin
Source :
Annals of Oncology. 29:966-972
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

Abstract

Background Chronic lymphocytic leukemia (CLL) has a heterogeneous clinical course. Beside patients requiring immediate treatment, others show an initial indolent phase followed by progression and others do not progress for decades. The latter two subgroups usually display mutated IGHV genes and a favorable FISH profile. Patients and methods Patients with absence of disease progression for over 10 years (10–34) from diagnosis were defined as ultra-stable CLL (US-CLL). Forty US-CLL underwent extensive characterization including whole exome sequencing (WES), ultra-deep sequencing and copy number aberration (CNA) analysis to define their unexplored genetic landscape. Microarray analysis, comparing US-CLL with non-US-CLL with similar immunogenetic features (mutated IGHV/favorable FISH), was also carried out to recognize US-CLL at diagnosis. Results WES was carried out in 20 US-CLL and 84 non-silent somatic mutations in 78 genes were found. When re-tested in a validation cohort of 20 further US-CLL, no recurrent lesion was identified. No clonal mutations of NOTCH1, BIRC3, SF3B1 and TP53 were found, including ATM and other potential progression driving mutations. CNA analysis identified 31 lesions, none with known poor prognostic impact. No novel recurrent lesion was identified: most cases showed no lesions (38%) or an isolated del(13q) (31%). The expression of 6 genes, selected from a gene expression profile analysis by microarray and quantified by droplet digital PCR on a cohort of 79 CLL (58 US-CLL and 21 non-US-CLL), allowed to build a decision-tree capable of recognizing at diagnosis US-CLL patients. Conclusions The genetic landscape of US-CLL is characterized by the absence of known unfavorable driver mutations/CNA and of novel recurrent genetic lesions. Among CLL patients with favorable immunogenetics, a decision-tree based on the expression of 6 genes may identify at diagnosis patients who are likely to maintain an indolent disease for decades.

Details

ISSN :
09237534
Volume :
29
Database :
OpenAIRE
Journal :
Annals of Oncology
Accession number :
edsair.doi.dedup.....3fd17fca6e98ddde61576b089a5df79a