Gene expression profiling on CML patients with Philadelphia translocation.

OBJECTIVE: The use of tyrosine kinase inhibitors (TKIs) and other targeted therapeutics plays a pivotal role in treatment management for individuals diagnosed with chronic myeloid leukemia (CML). However, some patients may experience fewer favorable outcomes and treatment resistance. Our work aims to use whole transcriptome sequencing to evaluate the variations in gene expression patterns among individuals with CML based on their response to TKI therapy. PATIENTS AND METHODS: Ten blood samples were obtained from two groups of patients diagnosed with CML: those at the initial diagnosis stage and those at the recurrence stage. RNA extraction was performed on all samples and used for next-generation sequencing. The data analysis was performed using the DESeq2 R program. RESULTS: In total, 499 genes were identified as having statistically significant differences in expression levels between the two groups. Of these, 122 genes exhibited upregulation, and 377 genes exhibited downregulation. We observed a notable dysregulation in the expression levels of NTRK2 (with a fold change more significant than +5). A significant proportion of the genes that were expressed demonstrated involvement in several biological processes, including the cell cycle, PI3K-AKT signaling system, cellular senescence, oxidative phosphorylation, microRNA in cancer, FOXO signaling pathway, P53 signaling pathway, and other related pathways. CONCLUSIONS: The results demonstrate a correlation between signaling pathways and the development of treatment resistance in patients with CML. These pathways exhibited enhanced efficacy in transmitting signals downstream of the TKI target, BCR-ABL. Several target genes require additional validation in a more extensive cohort study to verify their correlation with TKI resistance. The present research highlights that many BCR-ABL-independent pathways may be correlated with resistance, thus enhancing the prospective therapy options for patients with CML.

Correction: Whole-genome sequencing of chronic lymphocytic leukaemia reveals distinct differences in the mutational landscape between IgHVmut and IgHVunmut subgroups.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Whole-genome sequencing of chronic lymphocytic leukaemia reveals distinct differences in the mutational landscape between IgHVmut and IgHVunmut subgroups.

This corrects the article DOI: 10.1038/leu.2017.177.

Whole-genome sequencing of chronic lymphocytic leukaemia reveals distinct differences in the mutational landscape between IgHVmut and IgHVunmut subgroups.

Chronic lymphocytic leukaemia (CLL) consists of two biologically and clinically distinct subtypes defined by the abundance of somatic hypermutation (SHM) affecting the Ig variable heavy-chain locus (IgHV). The molecular mechanisms underlying these subtypes are incompletely understood. Here, we present a comprehensive whole-genome sequencing analysis of somatically acquired genetic events from 46 CLL patients, including a systematic comparison of coding and non-coding single-nucleotide variants, copy number variants and structural variants, regions of kataegis and mutation signatures between IgHVmut and IgHVunmut subtypes. We demonstrate that one-quarter of non-coding mutations in regions of kataegis outside the Ig loci are located in genes relevant to CLL. We show that non-coding mutations in ATM may negatively impact on ATM expression and find non-coding and regulatory region mutations in TCL1A, and in IgHVunmut CLL in IKZF3, SAMHD1,PAX5 and BIRC3. Finally, we show that IgHVunmut CLL is dominated by coding mutations in driver genes and an aging signature, whereas IgHVmut CLL has a high incidence of promoter and enhancer mutations caused by aberrant activation-induced cytidine deaminase activity. Taken together, our data support the hypothesis that differences in clinical outcome and biological characteristics between the two subgroups might reflect differences in mutation distribution, incidence and distinct underlying mutagenic mechanisms.

Genomic disruption of the histone methyltransferase SETD2 in chronic lymphocytic leukaemia.

Histone methyltransferases (HMTs) are important epigenetic regulators of gene transcription and are disrupted at the genomic level in a spectrum of human tumours including haematological malignancies. Using high-resolution single nucleotide polymorphism (SNP) arrays, we identified recurrent deletions of the SETD2 locus in 3% (8/261) of chronic lymphocytic leukaemia (CLL) patients. Further validation in two independent cohorts showed that SETD2 deletions were associated with loss of TP53, genomic complexity and chromothripsis. With next-generation sequencing we detected mutations of SETD2 in an additional 3.8% of patients (23/602). In most cases, SETD2 deletions or mutations were often observed as a clonal event and always as a mono-allelic lesion, leading to reduced mRNA expression in SETD2-disrupted cases. Patients with SETD2 abnormalities and wild-type TP53 and ATM from five clinical trials employing chemotherapy or chemo-immunotherapy had reduced progression-free and overall survival compared with cases wild type for all three genes. Consistent with its postulated role as a tumour suppressor, our data highlight SETD2 aberration as a recurrent, early loss-of-function event in CLL pathobiology linked to aggressive disease.