Molecular Landscape of Chronic Lymphocytic Leukemia Using Targeted Gene Panel Sequencing

Introduction

Chronic lymphocytic leukemia (CLL) is a clinically heterogeneous disease with various genetic abnormalities that can affect the treatment and survival of patients. Recently, by the advent of next-generation sequencing (NGS) techniques recurrently mutated genes have been described in CLL. Driver gene mutations such as NOTCH1, SF3B1, TP53, and MYD88 have been considered to have prognostic impact in CLL. The aim of this study was to detect pathogenic variants of commonly mutated genes in CLL patients and to explore their associations with IGHV mutational status and cytogenetic abnormalities.

Patients and Methods

The samples were collected from bone marrow or peripheral blood of 124 CLL patients. Genomic DNA was isolated using QIAamp Blood Mini kit. NGS analysis was performed using Twist Custom Panel and bidirectional sequencing with a minimum coverage of 1000x on Illumina NextSeq according to the manufacturers’ instructions. Data were analyzed by NextGene software. The following 27 recurrently mutated CLL genes were studied: PIK3CD, PIK3CA, SF3B1, MYD88, FBXW7, BRAF, NOTCH1, PTEN, BIRC3, PTPN6, MAP2K1, TP53, STAT5B, STAT3, CD79B, TCF3, MAPK1, DDX3X,ATM, BCL2, BTK, KRAS, NRAS, CARD11, CXCR4, PLCG2, POT1. Variants below 5% variant allele frequency (VAF) were filtered out from the analysis. Variants were considered subclonal with 5-10% VAF and clonal when VAF was >10%. Classification of variants were performed according to the American College of Medical Genetics and Genomics (ACMG) criteria.

Results

Our NGS study revealed a total of 96 variants in 124 CLL patients. Overall, 63/124 patients (50.8%) harbored at least one mutation, the majority of them (60/96, 62.5%) was clonal. In 36 patients only one pathogenic variant was detected, while 88 patients carried two or more (2-4) genetic alterations. The most frequently mutated gene was the NOTCH1, followed by TP53, SF3B1, FBXW7, and BRIC3. Subclonal variants were also detected in 36/124 patients (29%), particularly in NOTCH1,FBXW7, BIRC3, and PIK3CA genes. TP53 and NOTCH1 variants occured mostly in unmutated IGHV CLL cases. Patients with mutated IGHV harbored mainly FBXW7 and BIRC3 mutationss. FBXW7 variants were detected in 9/125 (7%) patients, that is a higher frequency compared to other studies.

Fluorescence in situ hybridization (FISH) was performed in 113 cases. The majority of these patients (84 cases, 74%) had one or more cytogenetic abnormality. In this cohort, 13q deletion was the most common aberration (65%, 55/84 patients), followed by 11q deletion (26%, 22/84 patients) and 17q deletion (14%, 12/84 patients). Deletion of 17p co-occured with TP53 single nucleotide variants in 10 of 12 patients. SF3B1, NOTCH1, BIRC3 and TP53 variants occured with 11q deletion in 10 cases. Trisomy 12 was detected with NOTCH1, BIRC3 and FBXW7 variants, and showed negative association with unfavorable SF3B1 mutations.

Conclusions

Our results confirmed the presence of high number of clonal and subclonal variants in the most frequently mutated genes (NOTCH1, TP53, SF3B1, FBXW7, BIRC3). TP53, NOTCH1 and SF3B1 mutations were enriched with unfavorable biologic factors, as they were found to be associated with unmutated IGHV and cytogenetic aberrations, such as del17p, del11q and trisomy 12. Cases with NOTCH1 variants harbored all types of the investigated cytogenetic alterations (del13q, del11q, de17p, trisomy 12) and were associated exclusively with unmutated IGHV. TP53 variants occured mostly in unmutated IGHV CLL cases together with del17p. Patients with SF3B1 variants showed del11q, del13q and mostly unmutated IGHV. FBXW7 variants enriched in both of unmutated and mutated IGHV cases and harbored del13q, de17p and trisomy 12. FBXW7 and NOTCH1 pathogenic variants have the same biological consequences in CLL, therefore presence of FBXW7 mutations may have clinical relevance regarding anti-CD20 therapy.

Taken together, these NGS results complemented with the study of IGHV mutational status and cytogenetic data can contribute to better prognostic workup and management of our CLL patients.

No relevant conflicts of interest to declare.