Copy number variations could predict the outcome of bortezomib plus melphalan and prednisone for initial treatment of multiple myeloma

A Novel Integrated Approach for Cytogenomic Evaluation of Plasma Cell Neoplasms

Plasma cell neoplasm (PCN) is associated with characteristic chromosomal aberrations of diagnostic and prognostic significance. The presence of a small percentage of neoplastic cells is a drawback in the application of karyotyping and fluorescence in situ hybridization for the evaluation of bone marrow aspirate. The analysis of samples enriched for CD138⁺ cells has improved the detection rate. However, fluorescence in situ hybridization requires several probes and may not be completed due to a limited number of isolated cells. To address the issues experienced with the conventional approach, a novel integrated protocol that consists of whole-genome amplification of DNA isolated from CD138⁺ cells, followed by microarray as well as one fluorescence in situ hybridization assay for balanced IGH gene rearrangements, has been developed. In the present study in a cohort of 56 patients with clinical suspicion for PCN, compared to conventional cytogenetic analysis, this approach provided higher yield in the detection of PCN-related abnormalities, irrespective of the initial percentage of plasma cells. Whole-genome profiling uncovered recurrent chromosomal abnormalities of prognostic value, including unbalanced alterations within the MYC locus, 16q loss, and hypodiploidy, that were not otherwise detectable by conventional methods. The proposed approach is cost-efficient and provides a superior detection rate, required for proper risk stratification and differential diagnosis of PCN regardless of initial plasma cell percentage.

Prognostic Value of Association of Copy Number Alterations and Cell-Surface Expression Markers in Newly Diagnosed Multiple Myeloma Patients

Multiple myeloma results from the clonal proliferation of abnormal plasma cells (PCs) in the bone marrow (BM). In this study, the cell surface expression markers (CD) on atypical PCs (detected by multiparametric flow cytometry (MFC)) were correlated with copy number alterations (CNAs) in the genome (detected by multiplex ligation-dependent probe amplification (MLPA)) to assess their impact on prognosis in newly diagnosed MM patients. Statistically significant results were obtained when different stages of PC maturation (classified based on CD19 and CD81 expression) were associated with CD117 expression and identified CNAs. In the intermediately differentiated PC group (CD19(-) CD81(+)), patients who didn't express CD117 had a lower median progression free survival (PFS) (p = 0.024). Moreover, within this group, patients with less than three adverse CNAs, which harbor CD117, had a better outcome with a PFS of more than 48 months compared with 19 months (p = 0.008). Considering all the results, our study suggested the need to integrate both the CD markers and copy number alterations to evaluate the prognosis of newly diagnosed multiple myeloma patients.

Prognostic value of integrated cytogenetic, somatic variation, and copy number variation analyses in Korean patients with newly diagnosed multiple myeloma

BACKGROUND

To investigate the prognostic value of gene variants and copy number variations (CNVs) in patients with newly diagnosed multiple myeloma (NDMM), an integrative genomic analysis was performed.

METHODS

Sixty-seven patients with NDMM exhibiting more than 60% plasma cells in the bone marrow aspirate were enrolled in the study. Whole-exome sequencing was conducted on bone marrow nucleated cells. Mutation and CNV analyses were performed using the CNVkit and Nexus Copy Number software. In addition, karyotype and fluorescent in situ hybridization were utilized for the integrated analysis.

RESULTS

Eighty-three driver gene mutations were detected in 63 patients with NDMM. The median number of mutations per patient was 2.0 (95% confidence interval [CI] = 2.0-3.0, range = 0-8). MAML2 and BHLHE41 mutations were associated with decreased survival. CNVs were detected in 56 patients (72.7%; 56/67). The median number of CNVs per patient was 6.0 (95% CI = 5.7-7.0; range = 0-16). Among the CNVs, 1q gain, 6p gain, 6q loss, 8p loss, and 13q loss were associated with decreased survival. Additionally, 1q gain and 6p gain were independent adverse prognostic factors. Increased numbers of CNVs and driver gene mutations were associated with poor clinical outcomes. Cluster analysis revealed that patients with the highest number of driver mutations along with 1q gain, 6p gain, and 13q loss exhibited the poorest prognosis.

CONCLUSIONS

In addition to the known prognostic factors, the integrated analysis of genetic variations and CNVs could contribute to prognostic stratification of patients with NDMM.

Identification of LINC01279 as a cell cycle‑associated long non‑coding RNA in endometriosis with GBA analysis

Endometriosis affects 6‑10% of women of reproductive age. Though a significant amount of research has explored the pathogenesis of endometriosis, little is clear. Elucidating the mechanisms is urgently required for improving the therapeutic efficiency of endometriosis treatment. Long non‑coding RNAs (lncRNAs) have recently acquired extensive attention as regulatory components in a variety of biological processes and diseases. However, the functions of many lncRNAs in endometriosis are poorly understood. Therefore, the exploration of the dysregulated genes in endometriosis, particularly lncRNAs, is of importance. In the present study, datasets for endometriosis, including GSE7305, GSE7846, GSE29981 and E‑MTAB‑694, were downloaded from Gene Expression Omnibus and ArrayExpress. Then, the limma and Affy packages were used to analyze the CEL file. The RankProd method was used to conduct meta‑analysis. Long intergenic non‑protein coding RNA 1279 (LINC01279) was significantly upregulated in the three datasets, and was the most upregulated lncRNA as determined by the RankProd method. Gene set enrichment and Gene Ontology analyses were conducted, which revealed that LINC01279 is likely to function as a cell cycle mediator in endometriosis. Finally, it was identified that LINC01279 is strongly associated with certain previously identified key factors in the development of endometriosis, including cyclin‑dependent kinase 14 and C‑X‑C motif chemokine ligand 12. Thus, it was demonstrated that LINC01279 may be associated with the pathogenesis of endometriosis. This may potentially represent a target in the therapy of endometriosis.

Recent advances in cytogenetic characterization of multiple myeloma

The detection of cytogenetic abnormalities in multiple myeloma (MM) has received more importance over last years for risk stratification and the new risk-adapted treatment strategies. Conventional G-banding analysis should be included in a routine procedure for the initial diagnostic workup for patients suspected of MM. However, the detection of chromosomal abnormalities in MM by conventional cytogenetics is limited owing to the low proliferative activity of malignant plasma cells as well as the low number of plasma cells in bone marrow specimens. Fluorescence in situ hybridization (FISH) or microarray-based technologies can overcome some of those drawbacks and detect specific target arrangements as well as chromosomal copy number changes. In this review, we will discuss different cytogenetic approaches and compare their strength and weakness to provide genetic information for risk stratification and prediction of outcome in MM patients.

Current Review on High-Risk Multiple Myeloma

PURPOSE OF REVIEW

New risk stratification systems and treatment strategies have been introduced in recent years. We aim to provide an overview of these recent changes and summarise these data in a concise article that would be useful for clinicians.

RECENT FINDINGS

Apart from clinical stage, disease genetics are now recognised as important prognostic risk factors, and various new cytogenetic changes with negative prognostic impact have been identified. New technologies such as minimal residual disease detection are also playing an important role in prognostic assessment. Recent introduction of combination therapy with proteasome inhibitors and immunomodulatory drugs is showing promising results in high-risk patients and may partially abrogate the negative impact associated with some of the adverse risk factors. Recent advance has improved our understanding of high-risk multiple myeloma, and new therapeutic agents are now coming through the pipeline for this patient group with once dismal outcome.

SNP Array in Hematopoietic Neoplasms: A Review

Cytogenetic analysis is essential for the diagnosis and prognosis of hematopoietic neoplasms in current clinical practice. Many hematopoietic malignancies are characterized by structural chromosomal abnormalities such as specific translocations, inversions, deletions and/or numerical abnormalities that can be identified by karyotype analysis or fluorescence in situ hybridization (FISH) studies. Single nucleotide polymorphism (SNP) arrays offer high-resolution identification of copy number variants (CNVs) and acquired copy-neutral loss of heterozygosity (LOH)/uniparental disomy (UPD) that are usually not identifiable by conventional cytogenetic analysis and FISH studies. As a result, SNP arrays have been increasingly applied to hematopoietic neoplasms to search for clinically-significant genetic abnormalities. A large numbers of CNVs and UPDs have been identified in a variety of hematopoietic neoplasms. CNVs detected by SNP array in some hematopoietic neoplasms are of prognostic significance. A few specific genes in the affected regions have been implicated in the pathogenesis and may be the targets for specific therapeutic agents in the future. In this review, we summarize the current findings of application of SNP arrays in a variety of hematopoietic malignancies with an emphasis on the clinically significant genetic variants.