Genetic and Clinical Characteristics of Korean Chronic Lymphocytic Leukemia Patients with High Frequencies of MYD88 Mutations.

Chronic lymphocytic leukemia (CLL) is the most common adult leukemia in Western countries. However, CLL is relatively rare in Asia; its genetic features are rarely studied. Here, we aimed to genetically characterize Korean CLL patients and to elucidate the genetic and clinical associations based on data obtained from 113 patients at a single Korean institute. We used next-generation sequencing to explore the multi-gene mutational data and immunoglobulin heavy chain variable gene clonality with somatic hypermutation (SHM). MYD88 (28.3%), including L265P (11.5%) and V217F (13.3%), was the most frequently mutated gene, followed by KMT2D (6.2%), NOTCH1 (5.3%), SF3B1 (5.3%), and TP53 (4.4%). MYD88-mutated CLL was characterized by SHM and atypical immunophenotype with fewer cytogenetic abnormalities. The 5-year time to treatment (TTT) of the overall cohort was 49.8% ± 8.2% (mean ± standard deviation) and the 5-year overall survival was 86.2% ± 5.8%. Patients with SHM, isolated del(13q), TP53-wild type, and NOTCH1-wild type showed better results than those without these conditions. In the subgroup analyses, patients with SHM and L265P presented shorter TTT than patients with SHM but not L265P. In contrast, V217F was associated with a higher SHM percentage and showed a favorable prognosis. Our study revealed the distinct characteristics of Korean CLL patients with high frequencies of MYD88 mutations and their clinical relevance.

FLT3-ITD Measurable Residual Disease Monitoring in Acute Myeloid Leukemia Using Next-Generation Sequencing.

The in-frame internal tandem duplication (ITD) of the FMS-like tyrosine kinase 3 (FLT3) gene is an important negative prognostic marker in acute myeloid leukemia (AML). FLT3-ITD monitoring is essential for patients at relapse or those receiving FLT3-targeted therapies. Fragment analysis (FA) is commonly used to detect and quantify FLT3-ITDs; however, detecting low-burden FLT3-ITDs after a treatment is challenging. We, therefore, developed a customized, next-generation sequencing (NGS)-based FLT3-ITD assay that includes a new ITD-tracing algorithm, "SEED", optimized for measurable residual disease (MRD) monitoring. NGS-SEED showed an enhanced sensitivity (0.001%) and has a superior performance over conventional fragment analysis. We further investigated the prognostic impact of MRD analyzed by NGS-SEED in AML patients who underwent allogeneic hematopoietic stem cell transplantation (HSCT). Our assay showed that the MRD assessed before and after HSCT were significantly associated with a risk of relapse and a poor overall survival, respectively, in a time-dependent analysis. Thus, this report highlighted the prognostic value of serial MRD monitoring using a sensitive method in a clinical setting of AML patients with FLT3-ITD.

MicroRNAs as potential indicators of the development and progression of uterine leiomyoma.

Recent studies demonstrated a significant role of several microRNAs (miRs) in the development of leiomyoma. Here, we investigated miR expression profiles using microarray and found a significantly higher expression of miRs in leiomyoma than in adjacent myometrium. We also confirmed the upregulation of five selected miRs including miR-181a-5p, 127-3p, 28-3p, 30b-5p and let-7c-5p in cellular proliferation, extracellular matrix turnover, and angiogenesis by RT-qPCR. Interestingly, the miRs showed a higher expression in cases of large leiomyoma or in patients with a history of transfusion due to anemia. We then analyzed the expression of the miR target molecules including Transforming Growth Factor Beta Receptor 2 (TGFBR2) and Insulin-like Growth Factor 2 mRNA Binding Protein 1 (IGF2BP1) via immunohistochemistry. TGFBR2 and IGF2BP1 were positively stained in 81% and 62.5% of leiomyoma tissues but not in adjacent myometrium. Both were more frequently positive in patients with ≥ 6 cm leiomyoma and mass effect. The mean expression levels of miR-181a-5p, 127-3p, 28-3p, 30b-5p and let-7c-5p were higher in cases with TGFBR2 and IGF2BP1 positive leiomyoma. We observed several miRs were overexpressed in leiomyoma tissues, and these results provide insight into the role of miRs in the development and progression of leiomyoma and underscore the need to validate their utility as diagnostic or therapeutic targets.

Genetic Characteristics According to Subgroup of Acute Myeloid Leukemia with Myelodysplasia-Related Changes.

Acute myeloid leukemia with myelodysplasia-related changes (AML-MRC) includes heterogeneous conditions such as previous history and specific cytogenetic and morphological properties. In this study, we analyze genetic aberrations using an RNA-based next-generation sequencing (NGS) panel assay in 45 patients with AML-MRC and detect 4 gene fusions of KMT2A-SEPT9, KMT2A-ELL, NUP98-NSD1, and RUNX1-USP42 and 81 somatic mutations. Overall, all patients had genetic aberrations comprising of not only cytogenetic changes, but also gene fusions and mutations. We also demonstrated several characteristic genetic mutations according to the AML-MRC subgroup. TP53 was the most commonly mutated gene (n = 11, 24%) and all were found in the AML-MRC subgroup with myelodysplastic syndrome-defining cytogenetic abnormalities (AML-MRC-C) (p = 0.002). These patients showed extremely poor overall survival not only in AML-MRC, but also within the AML-MRC-C subgroup. The ASXL1 (n = 9, 20%) and SRSF2 (n = 7, 16%) mutations were associated with the AML-MRC subgroup with >50% dysplasia in at least two lineages (AML-MRC-M) and were frequently co-mutated (55%, 6/11, p < 0.001). Both mutations could be used as surrogate markers to diagnose AML-MRC, especially when the assessment of multilineage dysplasia was difficult. IDH1/IDH2 (n = 13, 29%) were most commonly mutated in AML-MRC, followed by CEBPA (n = 5, 11%), PTPN11 (n = 5, 11%), FLT3 (n = 4, 9%), IDH1 (n = 4, 9%), and RUNX1 (n = 4, 9%). These mutations were not limited in any AML-MRC subgroup and could have more significance as a risk factor or susceptibility marker for target therapy in not only AML-MRC, but also other AML categories.

Characteristics of amniotic mesenchymal stromal cells derived from term and preterm labor.

OBJECTIVE: Amniotic mesenchymal stromal cells (AMSCs) can be obtained from the mesoderm of human amniotic membrane. AMSCs derived from term baby show increased expression of genes associated with apoptosis and senescence. The objective of this study was to examine gene expression profiles of AMSCs derived from preterm (preterm AMSCs) and term labors (term AMSCs) and analyze common and different mechanisms. MATERIALS AND METHODS: We isolated and cultured AMSCs from 43 placentas: 27 from term labor and 16 from preterm labor. Microarray analysis and gene network analysis were performed to compare gene expression profile (GEP) of preterm (n = 6) with term AMSCs (n = 10). Senescence-associated gene (CDKN2A and CDKN2B) expression was also measured by reverse transcription quantitative PCR. RESULTS: GEP demonstrated that preterm AMSCs showed upregulation of nicotinamide adenine dinucleotide biosynthetic process and downregulation of extracellular matrix, cholesterol import and transport, lipid storage, and maintenance of location. CDKN2A and CDKN2B genes showed similar expression levels between term and preterm AMSCs. CDKN2A gene expression was correlated with CDKN2B expression and population doubling time. Compared to term AMSCs, preterm AMSCs showed significantly different expression of genes associated with inflammatory response which could be one of the major players in labor events. CONCLUSION: Increased CDKN2A expression in AMSCs is associated with placental membrane aging which participates in both preterm and term labor. To the best of our knowledge, this is the first report to demonstrate the association of AMSCs with labor.

Characteristics of RAS pathway mutations in juvenile myelomonocytic leukaemia: a single-institution study from Korea.

Juvenile myelomonocytic leukaemia (JMML), a rare clonal haematopoietic disorder of childhood, is characterised as a myelodysplastic/myeloproliferative neoplasm. Despite ground-breaking genetic discoveries, JMML remains difficult to diagnose given its diverse clinical features and disease course. A total of 24 patients with JMML were diagnosed and treated at a single institution, and their genetic profiles and association with clinical and laboratory characteristics were analysed. In all, 22 of the patients received allogeneic haematopoietic stem cell transplantation after myeloablative conditioning, mostly from a haploidentical family donor. RAS pathway mutations were identified in 88% of patients: PTPN11 [nine (38%)], NRAS [nine (38%)], KRAS [two (8%)], NF1 [five (21%)] and CBL [one (4%)]. Secondary mutations were found in 25% of patients: SETBP1, JAK3, ASXL1, GATA2, KIT, KDM6A, and BCOR. Six patients showed cytogenetic abnormalities, including three with monosomy 7. The estimated 5-year event-free survival (EFS) and overall survival (± standard error) of the entire cohort were 58·9 (10·9)% and 73·5 (10·8)% respectively. NRAS (+) patients had a higher 5-year EFS than NRAS (-) patients [72·9 (16·5)% vs. 52·5 (13·1)%, P = 0·127]. NRAS (+) patients had a better 5-year EFS than PTPN11 (+) patients [41·7 (17·3)%, P = 0·071]. Our study revealed the genetic characteristics of Korean JMML patients with RAS pathway and secondary mutations.

Integrative Analysis of Gene Expression Data by RNA Sequencing for Differential Diagnosis of Acute Leukemia: Potential Application of Machine Learning.

BCR-ABL1-positive acute leukemia can be classified into three disease categories: B-lymphoblastic leukemia (B-ALL), acute myeloid leukemia (AML), and mixed-phenotype acute leukemia (MPAL). We conducted an integrative analysis of RNA sequencing (RNA-seq) data obtained from 12 BCR-ABL1-positive B-ALL, AML, and MPAL samples to evaluate its diagnostic utility. RNA-seq facilitated the identification of all p190 BCR-ABL1 with accurate splicing sites and a new gene fusion involving MAP2K2. Most of the clinically significant mutations were also identified including single-nucleotide variations, insertions, and deletions. In addition, RNA-seq yielded differential gene expression profile according to the disease category. Therefore, we selected 368 genes differentially expressed between AML and B-ALL and developed two differential diagnosis models based on the gene expression data using 1) scoring algorithm and 2) machine learning. Both models showed an excellent diagnostic accuracy not only for our 12 BCR-ABL1-positive cases but also for 427 public gene expression datasets from acute leukemias regardless of specific genetic aberration. This is the first trial to develop models of differential diagnosis using RNA-seq, especially to evaluate the potential role of machine learning in identifying the disease category of acute leukemia. The integrative analysis of gene expression data by RNA-seq facilitates the accurate differential diagnosis of acute leukemia with successful detection of significant gene fusion and/or mutations, which warrants further investigation.

Prognostic value of measurable residual disease monitoring by next-generation sequencing before and after allogeneic hematopoietic cell transplantation in acute myeloid leukemia.

Given limited studies on next-generation sequencing-based measurable residual disease (NGS-MRD) in acute myeloid leukemia (AML) patients after allogeneic hematopoietic stem cell transplantation (allo-HSCT), we longitudinally collected samples before and after allo-HSCT from two independent prospective cohorts (n = 132) and investigated the prognostic impact of amplicon-based NGS assessment. Persistent mutations were detected pre-HSCT (43%) and 1 month after HSCT (post-HSCT-1m, 20%). All persistent mutations at both pre-HSCT and post-HSCT-1m were significantly associated with post-transplant relapse and worse overall survival. Changes in MRD status from pre-HSCT to post-HSCT-1m indicated a higher risk for relapse and death. Isolated detectable mutations in genes associated with clonal hematopoiesis were also significant predictors of post-transplant relapse. The optimal time point of NGS-MRD assessment depended on the conditioning intensity (pre-HSCT for myeloablative conditioning and post-HSCT-1m for reduced-intensity conditioning). Serial NGS-MRD monitoring revealed that most residual clones at both pre-HSCT and post-HSCT-1m in patients who never relapsed disappeared after allo-HSCT. Reappearance of mutant clones before overt relapse was detected by the NGS-MRD assay. Taken together, NGS-MRD detection has a prognostic value at both pre-HSCT and post-HSCT-1m, regardless of the mutation type, depending on the conditioning intensity. Serial NGS-MRD monitoring was feasible to compensate for the limited performance of the NGS-MRD assay.

Optimizing the Diagnostic Strategy to Identify Genetic Abnormalities in Miscarriage.

INTRODUCTION: The single most common cause of miscarriage is genetic abnormality. OBJECTIVE: We conducted a prospective cohort study to compare the performance of conventional karyotyping and chromosomal microarray analysis (CMA) using array comparative genomic hybridization (array-CGH) and single nucleotide polymorphism array (SNP-array) to identify genetic abnormalities in miscarriage specimens. METHODS: A total of 63 miscarriage specimens were included. Conventional karyotyping, array-CGH, and SNP-array were performed and the results compared. RESULTS: Genetic abnormalities were detected in 31 cases (49.2%) by at least one testing modality. Single autosomal trisomy was the most common defect (71.0%), followed by polyploidy (16.1%), multiple aneuploidy (9.7%), and monosomy X (3.2%). Mosaicisms were identified in four cases and confirmed by fluorescence in situ hybridization (FISH) using appropriate probes. SNP-array had a higher detection rate of genetic abnormalities than array-CGH (93.5 vs. 77.4%), and conventional karyotyping had the lowest detection rate (76.0%). SNP-array enabled the detection of all types of genetic abnormalities, including polyploidy. CONCLUSIONS: Although conventional karyotyping and FISH are still needed, SNP-array represents the first choice for miscarriage because the technique showed excellent performance in the detection of genetic abnormalities and minimized the probability of testing failure as well as time, costs, and labor.

Targeted Next-Generation Sequencing of Plasma Cell-Free DNA in Korean Patients with Hepatocellular Carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is the second-most-common cause of cancer-related deaths worldwide, and an accurate and non-invasive biomarker for the early detection and monitoring of HCC is required. We assessed pathogenic variants of HCC driver genes in cell-free DNA (cfDNA) from HCC patients who had not undergone systemic therapy. METHODS: Plasma cfDNA was collected from 20 HCC patients, and deep sequencing was performed using a customized cfDNA next-generation sequencing panel, targeting the major HCC driver genes (TP53, CTNNB1, TERT) that incorporates molecular barcoding. RESULTS: In 13/20 (65%) patients, we identified at least one pathogenic variant of two major HCC driver genes (TP53 and CTNNB1), including 16 variants of TP53 and nine variants of CTNNB1. The TP53 and CTNNB1 variants showed low allele frequencies, with median values of 0.17% (range: 0.06%-6.99%) and 0.07% (range: 0.05%-0.96%), respectively. However, the molecular coverage of variants was sufficient, with median values of 5,543 (range: 2,317-9,088) and 7,568 (range: 2,400-9,633) for TP53 and CTNNB1 variants, respectively. CONCLUSIONS: Our targeted DNA sequencing successfully identified low-frequency pathogenic variants in the cfDNA from HCC patients by achieving high coverage of unique molecular families. Our results support the utility of cfDNA analysis to identify somatic gene variants in HCC patients.

Analytical and Potential Clinical Performance of Oncomine Myeloid Research Assay for Myeloid Neoplasms.

INTRODUCTION: Next-generation sequencing (NGS) panels have recently been introduced to efficiently detect genetic variations in hematologic malignancies. OBJECTIVES: Our aim was to evaluate the performance of the commercialized Oncomine™ myeloid research assay (OMA) for myeloid neoplasms. METHODS: Certified reference materials and clinical research samples were used, including 60 genomic DNA and 56 RNA samples. NGS was performed using OMA, which enables the interrogation of 40 target genes, 29 gene fusions, and five expression target genes with five expression control genes by the Ion S5 XL Sequencer. The analyzed data were compared with clinical data using karyotyping, reverse transcription polymerase chain reaction (PCR), fluorescence in situ hybridization, Sanger sequencing, customized NGS panel, and fragment analysis. RESULTS: All targets of reference materials were detected except three (two ASXL1 and one CEBPA) mutations, which we had not expected OMA to detect. In clinical search samples, OMA satisfactorily identified DNA variants, including 90 single nucleotide variants (SNVs), 48 small insertions and deletions (indels), and eight FLT3 internal tandem duplications (ITDs) (Kappa agreement 0.938). The variant allele frequencies of SNVs and indels measured by OMA correlated well with clinical data, whereas those of FLT3-ITDs were significantly lower than with fragment analysis (P = 0.008). Together, OMA showed strong ability to identify RNA gene fusions (Kappa agreement 0.961), except one RUNX1-MECOM. The MECOM gene was highly expressed in all five samples with MECOM-associated rearrangements, including inv(3), t(3;3), and t(3;21). CONCLUSION: OMA revealed excellent analytical and potential clinical performance and could be a good replacement for conventional molecular tests.

Common and different alterations of bone marrow mesenchymal stromal cells in myelodysplastic syndrome and multiple myeloma.

OBJECTIVE: The objective of this study was to explore characteristics of bone marrow mesenchymal stromal cells (BM-MSCs) derived from patients with myelodysplastic syndrome (MDS) and multiple myeloma (MM). METHODS: BM-MSCs were recovered from 17 of MDS patients, 23 of MM patients and 9 healthy donors and were passaged until proliferation stopped. General characteristics and gene expression profiles of MSCs were analysed. In vitro, ex vivo coculture, immunohistochemistry and knockdown experiments were performed to verify gene expression changes. RESULTS: BM-MSCs failed to culture in 35.0% of patients and 50.0% of recovered BM-MSCs stopped to proliferate before passage 6. MDS- and MM-MSCs shared characteristics including decreased osteogenesis, increased angiogenesis and senescence-associated molecular pathways. In vitro and ex vivo experiments showed disease-specific changes such as neurogenic tendency in MDS-MSCs and cardiomyogenic tendency in MM-MSCs. Although the age of normal control was younger than patients and telomere length was shorter in patient's BM-MSCs, they were not different according to disease category nor degree of proliferation. Specifically, poorly proliferation BM-MSCs showed CDKN2A overexpression and CXCL12 downregulation. Immunohistochemistry of BM biopsy demonstrated that CDKN2A was intensely accumulation in perivascular BM-MSCs failed to culture. Interestingly, patient's BM-MSCs revealed improved proliferation activity after CDKN2A knockdown. CONCLUSION: These results collectively indicate that MDS-MSCs and MM-MSCs have common and different alterations at various degrees. Hence, it is necessary to evaluate their alteration status using representative markers such as CDKN2A expression.

Practical informativeness of short tandem repeat loci for chimerism analysis in hematopoietic stem cell transplantation.

OBJECTIVE: Short tandem repeat (STR) loci are most frequently used for chimerism analysis after hematopoietic stem cell transplantation (HSCT). The aim of this study was to evaluate the practical informativeness of STR chimerism by integrating theoretical and analytical points. METHODS: Theoretical and practical informativess of 16 STR loci were evaluated from 1249 pairs of recipients and donors who were prepared for HSCT. RESULTS: Theoretical informativeness was influenced by genetic diversity including allele frequency and heterozygosity, and was higher in the unrelated HSCT group (90.5±5.3%) compared to the related HSCT group (66.2±4.4%). Practical informativeness was lower than theoretical (6.1±1.7%) because several STR loci were excluded due to stutter peaks and less reliable results, especially in type II-2 donor-recipient match pattern with no recipient-specific allele. We simulated an efficient STR combination for reliable chimerism analysis. Eight informative STR loci were required to analyze chimerism with at least one practically informative locus in the related HSCT group (D18S51, FGA, D2S1338, D13S317, D8S1179, D21S11, D16S539 and D7S820) while only three loci were needed in the unrelated group (D2S1338, FGA and D18S51). A minimum set of 2, 4 or 7 STR loci were required to provide at least 1, 3 or 5 practically informative loci in 95% of the unrelated HSCT group while 3, 8 or 12 loci were required in the related HSCT group. CONCLUSION: We deducted the practical informativeness of STR chimerism, identified the major influencing factors on the practical informativeness of each STR locus, and successfully simulated the efficient STR combination for reliable chimerism analysis.