Back to Search
Start Over
Genetic landscape of ultra-stable chronic lymphocytic leukemia patients
- 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.
- Subjects :
- Oncology
medicine.medical_specialty
DNA Copy Number Variations
Microarray
Chronic lymphocytic leukemia
Immunoglobulin Variable Region
medicine.disease_cause
NO
Cohort Studies
03 medical and health sciences
0302 clinical medicine
immune system diseases
hemic and lymphatic diseases
Internal medicine
Exome Sequencing
Humans
Medicine
Copy number aberrations
neoplasms
In Situ Hybridization, Fluorescence
Exome sequencing
Oligonucleotide Array Sequence Analysis
chronic lymphocytic leukemia
Gene expression profile
Ultra-stable disease
Whole exome sequencing
Hematology
Mutation
copy number aberrations
gene expression profile
ultra-stable disease
whole exome sequencing
business.industry
High-Throughput Nucleotide Sequencing
Original Articles
Genes, p53
medicine.disease
Leukemia, Lymphocytic, Chronic, B-Cell
Gene expression profiling
Leukemia
030220 oncology & carcinogenesis
Disease Progression
Immunoglobulin Heavy Chains
IGHV@
business
030215 immunology
Subjects
Details
- ISSN :
- 09237534
- Volume :
- 29
- Database :
- OpenAIRE
- Journal :
- Annals of Oncology
- Accession number :
- edsair.doi.dedup.....3fd17fca6e98ddde61576b089a5df79a