Citations

Introduction: Cyclin D1, encoded by the CCND1 gene, is primarily known as a major regulator of cell cycle progression. Emerging studies have demonstrated a role for cyclin D1 in regulating gene transcription. In mantle cell lymphoma with t(11;14), cyclin D1 strongly binds to the promoters of highly transcribed genes and its overexpression led to genome-wide transcriptional downregulation. However, the transcriptional role for cyclin D1 in t(11;14) MM remains undefined. This study aims to elucidate the global chromatin and transcriptional changes induced by cyclin D1 in t(11;14) MM. Methods: Knockout (KO) of CCND1 in U266B1, a MM cell line carrying t(11;14), was performed by the Synthego (Redwood City, CA) using CRISPR/Cas9, which generated a frameshift insertion of base pair (bp) “A” after 69,641,478 bp within exon 1. Two independent KO clones were used for downstream analysis. ChIP-seq and ATAC-seq were performed for KO (n=2) and wild-type clones (WT, n=2). ChIP-seq used antibodies against H3K4me3 (promoter) and H3K4me1 and H3K27ac (enhancer). Libraries were sequenced to 2x51 bp on the Illumina NextSeq 2000 platform. Total RNA libraries (in triplicate) were sequenced to 2x150 bp. ChIP-seq and ATAC-seq reads were mapped to hg38 with BWA, and peaks were identified by MACS2 at FDR 0.01. RNA-seq reads were mapped to hg38 with STAR and gene raw counts were estimated using featureCounts. Differential peaks and differentially expressed genes between KO and WT were identified using edgeR at FDR 0.05 and fold-change 2. Only peaks present in at least 2 samples and genes having reads-per-million value 0.1 in at least 1 sample were included, excluding those from chrY. Pathway analysis was performed with the Enrichr package. Results: Differential expression analysis identified 2-fold more genes that were down-regulated than up-regulated in KO compared to WT (467 vs. 233). Pathway analysis revealed an enrichment of TNF-alpha signaling via NF-kappaB, inflammatory response, and apoptosis in association with down-regulated genes, while up-regulated genes are enriched in myogenesis, KRAS signaling, and epithelial mesenchymal transition pathway. In parallel, differential chromatin analysis identified 2.5% (1,161) of the peaks from H3K27ac and 0.5-1% (359-610) of the peaks for the other 3 marks that showed significant changes of signal levels between KO and WT. For the promoter mark H3K4me3, there are largely a comparable number of peaks showing increased (191 peaks) and decreased (168 peaks) signals, respectively, in KO compared to WT. However, for ATAC-seq and H3K4me1, about 70% of the differential peaks showed an increased signal in KO, in contrast with H3K27ac for which 60% of differential peaks showed decreased signal in KO. The preferential loss of H3K27ac occupancy is consistent with the observation of a higher proportion of genes being down-regulated in KO. These results indicated that knockout of CCND1 led to a global increase of chromatin accessibility, but a reduction of H3K27ac and gene expression. Further annotation revealed that, for H3K27ac and H3K4me1/ATAC-seq, 92% and 97% of the differential peaks were located >2kb away from the transcription start sites (TSSs) of expressed genes. Even for H3K4me3, 88% of the differential peaks are >2kb away from TSSs. The results suggest that the changes of chromatin upon CCND1 knockout predominantly occurred at distal regulatory regions. For up- and down-regulated genes, we estimated ChIP-seq and ATAC-seq signals in the TSS 2kb regions, revealing that up-regulated genes were overall associated with increased signals. Further analysis found that, for ATAC-seq and H3K4me3, 44% and 59% of the differential peaks located in the promoter regions were associated with differentially expressed genes, which dropped to ~20% for the two enhancer marks. These data indicate that changes in chromatin state impact the expression of the associated genes. Conclusion: Knockout of CCND1 impacts local chromatin state, particularly at enhancer regions, and the transcriptional program. In promoter-proximal regulatory regions, the changes of chromatin accessibility and H3K4me3 are strongly correlated with the expression changes of nearby genes. Further studies will identify the genes targeted by the differential enhancers and their possible roles in MM pathogenesis mediated by cyclin D1 following the t(11;14) event.

Background Absolute basophil count (ABC) might be increased in patients with myeloproliferative neoplasms and has been associated with poor prognosis in chronic myeloid leukemia (CML) and, possibly, primary myelofibrosis (PMF, Front. Oncol 2019;9:872). In a Mayo Clinic survey of 382 patients with BCR::ABL1-negative leukocytosis and ABC ≥0.09 x 109/L, 191 (50%) were associated with myeloid neoplasms, including 104 (27%) with CML, 23 (6%) essential thrombocythemia, 21 (6%) polycythemia vera (PV), and 18 (5%) PMF (AJH 2020;95:E216). Herein, we tapped into a well-characterized cohort of patients with PV, in order to describe the prevalence of basophilia, at specific ABC thresholds, and corresponding clinical, molecular, and prognostic correlates. Methods Study patients were retrospectively recruited from Mayo Clinic (USA) databases, after approval from IRB. Diagnostic criteria were according to the International Consensus Classification (Blood 2022;140:1200). Study inclusion criteria included the availability of information on ABC and absolute eosinophil count (AEC). Mayo Clinic institutional reference range for ABC was 0.01 to 0.08 x 109/L and for AEC 0.03 to 0.48 x 109/L. “Eosinophilia” was defined as an AEC of ≥0.6 x 109/L. Basophilia was evaluated both at an ABC of ≥0.1 x 109/L and ABC of ≥0.3 x 109/L, the latter representing 3 x the upper limit of the normal reference range. Cytogenetic information obtained within one year of diagnosis was available in 270 patients. Next-generation sequencing information collected before disease transformation was available in 99 patients. Conventional statistical methods were employed for comparisons of groups and survival analysis (JMP Pro 17.0.0 software SAS Institute, Cary, NC, USA). Results Information on ABC and AEC, obtained within one year of diagnosis, was available in 478 patients (median age 66 years; males 51%). Median values at presentation were 10.6 x 109/L for leukocyte count, 453 x 109/L platelet count, and 17.3 g/dL hemoglobin level. Presenting symptoms included palpable splenomegaly 24%, pruritus 31%, arterial thrombosis 12%, and venous thrombosis 17%. Median and range values for ABC and AEC were 0.12 x 109/L (0-3.2) and 0.27 x 109/L (0-6.5), respectively. ABC was ≥0.3 x 109/L in 80 (17%) patients and ≥0.1 x 109/L in 315 (66%). AEC was ≥0.6 x 109/L in 68 (14.6%) patients. ABC≥0.3 x 109/L was associated with AEC ≥0.6 x 109/L (p<0.01), leukocytosis (p<0.01), and palpable splenomegaly (p=0.02), but not platelet count, pruritus, smoking history, diabetes, or arterial or venous thrombosis; in multivariable analysis, the association with leukocytosis, but not that with splenomegaly, was confirmed. At a median follow-up of 5.7 years (range 0.03-32.8), 132 (28%) deaths, 17 (3.6%) leukemic and 40 (8.4%) fibrotic progressions were documented. Post-diagnosis events also included arterial (7%) and venous (9%) thrombosis. In univariate analysis, neither ABC (p=0.8, 0.7, and 0.96) nor AEC (p=0.7, 0.6, and 0.8), evaluated as continuous variables, affected overall (OS), leukemia-free (LFS), or myelofibrosis-free (MFFS) survival, respectively. Similarly, eosinophilia at AEC ≥0.6 x 109/L did not appear to influence OS (p=0.99), LFS (p=0.6) or MFFS (p=0.5). On the other hand, although basophilia at ABC≥0.3 x 109/L did not affect OS (p=0.27), it was significantly associated with inferior LFS (HR 6.5, 95% CI 2.3-18.0; p<0.01) and MFFS (HR 2.3, 95% CI 1.2-4.5; p=0.01); the corresponding p values for ABC≥0.1 x 109/L were 0.7, 0.1, and 0.17. The detrimental impact of basophilia (ABC≥0.3 x 109/L) on LFS was confirmed (P<0.01) with multivariable analysis that included other clinical variables, including leukocytosis (NS), platelet count (NS), basophil percentage (NS), age (p<0.01), and palpable splenomegaly (p<0.01). Results were similar during multivariable analysis for MFFS with palpable splenomegaly (p<0.01), ABC≥0.3 x 109/L (p=0.03), and age (p=0.05) sustaining independent predictive value. The number of informative cases was too small to evaluate prognostic interaction with mutations and karyotype. Conclusions: Basophilia in PV is associated with palpable splenomegaly and leukocytosis and independently predicts leukemic and myelofibrotic transformation. Additional studies are needed to confirm these observations and examine prognostic interaction with mutations and karyotype.

Abstract Pleomorphic xanthoastrocytomas (PXAs) harbor CDKN2A homozygous deletion in >90% of cases, resulting in loss of p16 expression by immunohistochemistry. Considering the proximity of MTAP to CDKN2A and their frequent concurrent deletions, loss of MTAP expression may be a surrogate for CDKN2A homozygous deletion. We evaluated p16 and MTAP expression in 38 patient PXAs (CNS WHO grade 2: n = 23, 60.5%; grade 3: n = 15, 39.5%) with available chromosomal microarray data to determine whether MTAP can be utilized independently or in combination with p16 to predict CDKN2A status. CDKN2A, CDKN2B, and MTAP homozygous deletion were present in 37 (97.4%), 36 (94.7%), and 25 (65.8%) cases, respectively. Expression of p16 was lost in 35 (92.1%) cases, equivocal in one (2.6%), and failed in 2 (5.3%), while MTAP expression was lost in 27 (71.1%) cases, retained in 10 (26.3%), and equivocal in one (2.6%). This yielded a sensitivity of 94.6% for p16 and 73.0% for MTAP in detecting CDKN2A homozygous deletion through immunohistochemistry. MTAP expression was lost in the 2 cases with failed p16 staining (combined sensitivity of 100%). Our findings demonstrate that combined p16 and MTAP immunostains correctly detect CDKN2A homozygous deletion in PXA, while MTAP expression alone shows reduced sensitivity.

Abstract Multiple myeloma (MM) is the most common blood cancer in African American (AA) individuals. AAs have an increased risk of developing Monoclonal Gammopathy of Undetermined Significance (MGUS) and MM compared to non-Hispanic White (NHW) individuals. While several studies have shown a pivotal role for the immune tumor microenvironment (iTME) in MM pathogenesis, the composition of the iTME in AAs with MM is under investigated. Viably frozen whole bone marrow (BM) aspirates from 128 individuals (53 AA and 75 NHW) with either MM (n=65), MGUS (n=28), smoldering MM (SMM, n=13), or healthy controls (n=22) were evaluated by single cell RNA-sequencing (scRNA-seq) or mass cytometry (CyTOF). We characterized 34 (14 AA and 20 NHW) by scRNA-seq and 94 (39 AA and 55 NHW) by CyTOF. CyTOF samples were stained with Maxpar Direct Immune Profiling Assay Kit (Fluidigm), acquired on a Helios mass cytometer and analyzed in Cytobank. Data were analyzed by logistic equivalent regression model with p<0.05 for significance. ScRNA-seq samples were processed as in Yao, 2022. Data were normalized using scvi-tools and clustered by Uniform manifold approximation and projection (UMAP). Differentially expressed markers between clusters were identified using Model-based Analysis of Single-cell Transcriptomics (MAST) in Seurat R package at FDR < 0.05 and log2 fold change > 0.55. ScRNA-seq of the CD45+ non-tumor lymphocytes revealed 17 immune populations (HSC, erythroblast, MDSC, GMP, CD1c+ DC, CD4+ and CD8+ T cell, CD14+ M1 macrophage, CD16+monocyte, monocyte, pDC, naïve B, pre-B, pro-B, memory B, NK/MAIT). CD3E/D+cells were clustered into naïve/central memory (CCR7+, LEF1+, SELL+), memory (GZMK+), effector (GZMB+, GZMH+, FGFBP2+), g/d (TRDC+), MAIT (SLC4A10+, KLRB1+) and IFN CD8+ T cells (IFIT1+, IFIT2+,IFIT3+). Disease progression was associated with increases in median CD4+ and CD8+ GZMK+ T cells, memory B cells and a reduction in all monocyte clusters. Within the diseased cohort in comparison to NHW patients, AA patients had increased CD3+ T cells (CD4 and CD8+) (AA 57.5% vs. NHW 44.3%) and a reduction in overall monocytes (AA 10.5% vs. 26.5%). These results were validated by CyTOF, which confirmed an increase in CD3+ T cells (AA 53.7% vs. NHW 35.7%, p<0.001) including increases in CD8+ (AA 7.0% vs. NHW 3.2%, p<0.05) and CD4+ terminal effector T cells (AA 5.7% vs. NHW 2.7%, p<0.05) and a reduction in monocytes (AA 18.3% vs. NHW 26.6%) among AAs. After adjusting for age and sex, AAs retained an increase in T cells (OR 1.59 (95%CI 1.2-2.01, p=0.00023)) and a reduction in monocytes (OR 0.88 (95%CI 0.78-1, p=0.045)). Despite the increase in CD8+ T cells in AA patients, we identified reduced GZMK+ T cells and reductions in exhaustion markers (TIGIT, LAG3, TOX) in CD8+ T cells in comparison to NHWs. Nevertheless, the distribution of the immune populations was similar between healthy AA and NHW individuals. Our multiomics approach to characterize the iTME identified significant differences among AA compared to NHW patients with MM. Citation Format: Suganti Shivaram, Hongwei Tang, Huihuang Yan, Shulan Tian, Guyu Qin, Emilie Anderson, Neeraj Sharma, Abiola Bolarinwa, Cinthya Zepeda-Mendoza, Stacey Lehman, Felicia Gomez, Amit Mitra, Surendra Dasari, Taxiarchis Kourelis, Shaji Kumar, Linda Baughn. Characterization of the Immune Tumor Microenvironment in a Diverse Cohort of Patients with Multiple Myeloma [abstract]. In: Proceedings of the Blood Cancer Discovery Symposium; 2024 Mar 4-6; Boston, MA. Philadelphia (PA): AACR; Blood Cancer Discov 2024;5(2_Suppl):Abstract nr P06.

Abstract Objectives Fluorescence in situ hybridization (FISH) for plasma cell neoplasms (PCNs) requires plasma cell (PC) identification or purification strategies to optimize results. We compared the efficacy of cytoplasmic immunoglobulin FISH (cIg-FISH) and fluorescence-activated cell sorting FISH (FACS-FISH) in a clinical laboratory setting. Methods The FISH analysis results of 14,855 samples from individuals with a suspected PCN subjected to cytogenetic evaluation between 2019 and 2022 with cIg-FISH (n = 6917) or FACS-FISH (n = 7938) testing were analyzed. Results Fluorescence-activated cell sorting–FISH increased the detection rate of abnormalities in comparison with cIg-FISH, with abnormal results documented in 54% vs 50% of cases, respectively (P < .001). It improved the detection of IGH::CCND1 (P < .001), IGH::MAF (P < .001), IGH::MAFB (P < .001), other IGH rearrangements (P < .001), and gains/amplifications of 1q (P < .001), whereas the detection rates of IGH::FGFR3 fusions (P = .3), loss of 17p (P = .3), and other abnormalities, including hyperdiploidy (P = .5), were similar. Insufficient PC yield for FISH analysis was decreased between cIg-FISH and FACS-FISH (22% and 3% respectively, P < .001). Flow cytometry allowed establishment of ploidy status in 91% of cases. In addition, FACS-FISH decreased analysis times, workload efforts, and operating costs. Conclusions Fluorescence-activated cell sorting–FISH is an efficient PC purification strategy that affords significant improvement in diagnostic yield and decreases workflow requirements in comparison with cIg-FISH.

Abstract A 2‐month‐old male patient harboring a duplication of DMD exons 1–7 classified as pathogenic by an outside institution presented with mildly elevated creatine phosphokinase (CK); molecular breakpoint analysis by our laboratory reclassified the duplication as likely benign. To date, proband continues to develop normally with decreased CK, further supporting our reclassification.

AbstractAcute lymphoblastic leukemia (B‐ALL) with intrachromosomal amplification of chromosome 21 (iAMP21‐ALL) represents a recurrent high‐risk cytogenetic abnormality and accurate identification is critical for appropriate clinical management. Identification of iAMP21‐ALL has historically relied on fluorescence in situ hybridization (FISH) using a RUNX1 probe. Current classification requires ≥ five copies of RUNX1 per cell and ≥ three additional copies of RUNX1 on a single abnormal iAMP21‐chromosome. We sought to evaluate the performance of the RUNX1 probe in the identification of iAMP21‐ALL. This study was a retrospective evaluation of iAMP21‐ALL in the Mayo Clinic and Children's Oncology Group cohorts. Of 207 cases of iAMP21‐ALL, 188 (91%) were classified as “typical” iAMP21‐ALL, while 19 (9%) cases were classified as “unusual” iAMP21‐ALL. The “unusual” iAMP21 cases did not meet the current definition of iAMP21 by FISH but were confirmed to have iAMP21 by chromosomal microarray. Half of the “unusual” iAMP21‐ALL cases had less than five RUNX1 signals, while the remainder had ≥ five RUNX1 signals with some located apart from the abnormal iAMP21‐chromosome. Nine percent of iAMP21‐ALL cases fail to meet the FISH definition of iAMP21‐ALL demonstrating that laboratories are at risk of misidentification of iAMP21‐ALL when relying only on the RUNX1 FISH probe. Incorporation of chromosomal microarray testing circumvents these risks.

Abstract Purpose: Structural variants (SV) of the MYC gene region are common in multiple myeloma and influence disease progression. However, the prognostic significance of different MYC SVs in multiple myeloma has not been clearly established. Experimental Design: We conducted a retrospective study of multiple myeloma comparing MYC SV subtypes identified by next-generation sequencing (NGS) and FISH to MYC expression and disease survival using 140 cases from Mayo Clinic and 658 cases from the MMRF CoMMpass study. Results: MYC SVs were found in 41% of cases and were classified into nine subtypes. A correlation between the presence of a MYC SV and increased MYC expression was identified. Among the nine MYC subtypes, the non-immunoglobulin (non-Ig) insertion subtype was independently associated with improved outcomes, while the Ig insertion subtype, specifically involving the IgL gene partner, was independently associated with poorer outcomes compared with other MYC SV subtypes. Although the FISH methodology failed to detect approximately 70% of all MYC SVs, those detected by FISH were associated with elevated MYC gene expression and poor outcomes suggesting a different pathogenic role for FISH-detected MYC subtypes compared with other MYC subtypes. Conclusions: Understanding the impact of different MYC SVs on disease outcome is necessary for the reliable interpretation of MYC SVs in multiple myeloma. NGS approaches should be considered as a replacement technique for a more comprehensive evaluation of the multiple myeloma clone.

AbstractThis case report underlines the importance of molecular characterization of genomic duplications and other structural variants in the prenatal setting to guide clinical interpretation, genetic counseling, and perinatal medical care.