Mendoza, Cinthya Zepeda

Background: Acute myeloid leukemia (AML) with CBFB::MYH11 fusion and myeloid/lymphoid neoplasms with eosinophilia and tyrosine kinase gene fusions (MLN-TK) are genetically defined and typically mutually exclusive entities. Case Presentation: We report a unique case of de novo AML harboring two clonal, transcriptionally active class-defining fusions: CBFB::MYH11 and GOLGA4::PDGFRB. A 61-year-old woman presented with leukocytosis with neutrophilia, eosinophilia, and monocytosis; circulating blasts; and a markedly hypercellular marrow. Cytogenetic analysis revealed inv(16)(p13.1q22) and t(3;5)(p21;q32) in all 20 metaphases, and RNA sequencing confirmed expression of both CBFB::MYH11 and GOLGA4::PDGFRB fusions. In addition, an oncogenic WT1 frameshift variant was identified. Hematopathologic findings were largely consistent with AML with CBFB::MYH11 fusion but exhibited features reminiscent of PDGFRB-rearranged MLN-TK. The patient achieved complete remission following the standard 7 + 3 induction chemotherapy regimen for AML with gemtuzumab ozogamicin. Conclusions: This case illustrates the diagnostic challenges posed by concomitant class-defining alterations in hematologic neoplasms and underscores the importance of integrated genomic assessment.

Abstract Diffuse hemispheric glioma, H3 G34‐mutant (DHG‐H3 G34) has been primarily molecularly characterized by methylation profiling and sequencing studies. We describe an integrated histomolecular evaluation including high‐resolution copy number profiling of a series of 60 DHG‐H3 G34 to further our understanding of the spectrum of genetic changes associated with this tumor type. Cases were clinically tested using an 187‐gene mutation and fusion targeted neuro‐oncology next‐generation sequencing panel ( n = 60) and Oncoscan chromosomal microarray ( n = 26) by a single laboratory (2018–2022). A subset of cases had immunohistochemical results for OLIG2 ( n = 42), p53 ( n = 48), and ATRX ( n = 46), and methylation array data ( n = 8). Median age at testing was 21 years (range, 12–50). No significant difference was noted in clinical, histopathological, and mutational profile between pediatric and adult patients. H3‐3A G34 mutations included G34R ( n = 56; 94%), G34V ( n = 3), and a non‐canonical G34E ( n = 1). Concurrent mutations most often involved TP53 ( n = 55; 92%), ATRX ( n = 50; 83%), and PDGFRA ( n = 34; 57%). A reportedly primary tumor was confirmed to be hypermutant and had a PMS2 mutation. A single case also showed an FGFR3::FAM184B fusion. All cases with available chromosomal microarray data had unbalanced genomes, which were often complex (14/26; 54%). The most frequent recurrent copy number abnormalities were losses involving 3q, 4q, 10q, 13q, and 18q, and 17p copy‐neutral loss of heterozygosity (cnLOH) encompassing TP53 . This copy number profile was reminiscent of that seen in Grade 4 IDH‐mutant astrocytomas. Collectively, a TP53 abnormality at copy number (12/26, all cnLOH), sequence (55/60) and protein expression (46/48) level was detected in all 60 cases. In conclusion, integrated high‐resolution copy number and histomolecular analysis expanded the spectrum of genetic changes associated with DHG‐H3 G34, including the presence of universal TP53 abnormalities with frequent cnLOH—a copy number abnormality that has been largely unrecognized—for this new 2021 World Health Organization central nervous system tumor type.

Abstract MGMT is primarily inactivated via promoter methylation, but MGMT homozygous deletion (hmzdel) has been rarely reported as an alternative inactivating mechanism. Although functionally similar to a methylated MGMT promoter, MGMT hmzdel is associated with an unmethylated MGMT promoter test result reflecting the MGMT promoter status of the non-neoplastic cells invariably present in any tumor specimen. Thus, patients whose tumors have MGMT hmzdel (and unmethylated MGMT promoter) would be inaccurately predicted to lack benefit from alkylating chemotherapy based on MGMT promoter methylation testing alone. To evaluate the impact of this clinical scenario, we estimated the frequency and distribution of MGMT hmzdel in routine clinical testing of CNS tumors. Among 12,424 CNS tumors (3,044 with provided diagnosis of glioblastoma) tested using Oncoscan chromosomal microarray (2015-2025), 10 tumors (0.08%) had MGMT hmzdel: 8 with entire gene hmzdel and 2 with partial gene hmzdel favored to be inactivating (RNA-sequencing underway to exclude possibility of activating rearrangements). All tumors were supratentorial and non-midline. Median age at diagnosis was 58.5 years (range, 34-81), with 3:2 male:female. Of the 10 cases, 9 (of 3,044; 0.3%) had integrated diagnosis of glioblastoma, IDH-wildtype; the remaining case was a recurrent astrocytoma, IDH-mutant, CNS WHO grade 4. All 10 cases had loss of chromosome 10q and a highly unmethylated MGMT promoter by droplet digital PCR testing of downstream CpG sites 75-80/84-87, with median fraction abundance of 0.19% (range, 0-0.85). In summary, MGMT hmzdel only occurred in high-grade adult-type diffuse astrocytic gliomas, and is a rare potential pitfall for MGMT promoter methylation testing leading to inaccurate patient stratification. It is critical that laboratories performing routine CNS tumor copy number testing include MGMT in the curated list of reportable genes, and that clinicians be aware of this rare clinical scenario to accurately stratify patients despite misleading MGMT promoter test results.

Abstract Motivation Efforts to address health disparities are often limited by the lack of robust computational tools for inferring genetic ancestry by calculating an individual’s genetic similarity to continental groups. We have already shown that a preferred alternative to self-described race is using ancestry-informative markers (AIMs) that can be classified into ancestral components and used to estimate their similarity to those of known populations to identify continental groups. However, real-world genomic data can present challenges, including limited availability of germline DNA, a small number of AIMs for each sample, and the use of different variant calling software, limiting the application of existing solutions. Results Here, we describe a novel supervised machine-learning tool AncestryGeni, which infers genetic ancestry for samples with even a hundred markers and is applicable to any genomic data, including whole exome sequencing (WES) and RNA sequencing (RNA-Seq) data. Applying AncestryGeni to a real-world genomic dataset obtained from the Multiple Myeloma Research Foundation (MMRF) CoMMpass study, we show that it is more accurate than the commonly used FastNGSadmix when using nonstandard genomic material. We also demonstrate that when using AncestryGeni, the tumor-derived sequence obtained from WES and RNA-Seq can be a robust data source to accurately estimate an individual’s genetic similarity to a continental group. Availability and implementation AncestryGeni pipeline is available at https://github.com/eelhaik/AncestryGeni/tree/main.

Background: Multiple myeloma (MM) is an incurable plasma cell malignancy with several recurrent primary cytogenetic abnormalities including t(11,14)(q13;q32), resulting in increased expression of CCND1. Although 40% of patients with t(11;14) MM respond favorably to the BCL-2 inhibitor venetoclax (ven), 60% fail to achieve an objective response. Previous studies have suggested upregulation of PMAIP1, encoding the pro-apoptotic NOXA protein, in association with ven sensitivity (Leblay, Blood, 2024). Here we sought to evaluate the role for NOXA in ven response in t(11;14) MM. Methods: We analyzed whole exome, whole genome and RNA sequencing data of CD138+ tumor cells from 1,359 patients with MM in the CoMMpass and Mayo Clinic cohorts. The histone mark H3K27ac was assessed in t(11;14)+ KMS12PE and U266B1 human myeloma cell lines using ChIP-seq. Gene expression and protein levels of PMAIP1 (NOXA) were also detected by qRT-PCR and Western blot, respectively. Live cell detection was evaluated by Annexin V and PI using flow cytometry and by YoYo3 dye using IncuCyte following treatment with ven. Results: The t(11;14) MM subtype was associated with a 1.6-5.5-fold increased expression of PMAIP1 compared to non-t(11,14) MM in the CoMMpass and Mayo Clinic cohorts (p<0.0001). These findings are consistent with a significant correlation between CCND1 and PMAIP1 expression in both cohorts (p<0.001). To evaluate whether cyclin D1 is directly associated with increasing expression of PMAIP1 in t(11;14) MM, we generated a cyclin D1 knock out (KO) version of the U266B1 line using CRISPR/cas9. Two independent U266B1 KO cell lines showed reduced expression of PMAIP1 and NOXA protein compared to the WT U266B1 consistent with a role for cyclin D1 in regulating PMAIP1 expression. In addition, the KO lines had a 4.8-fold reduced H3K27ac signal at the PMAIP1 locus in comparison to the WT control suggesting a role for cyclin D1 in promoting H3K27ac. We previously observed increased expression of CCND1 in association with the G allele compared to the A allele of rs9344 in both the CoMMpass and Mayo Clinic cohorts (Leukemia, in press). We next asked whether the G risk allele of rs9344 within CCND1 impacted gene expression and H3k27ac levels at the PMAIP1 locus. To study the allele specific effect of CCND1, we used the CRISPR/cas9 edited KMS12PE WT (rs9344 AA) and Knock In (KI) (rs9344 GG) cell lines. In the KI cells, the G allele was accompanied by an ~2-fold increased expression of PMAIP1 and NOXA protein detected by western blot (<0.05). Increased PMAIP1 expression in KI lines was also accompanied by a 2.2-fold increased H3K27ac further suggesting a role for the G allele of rs9344 in promoting H3K27ac and gene expression at the PMAIP1 locus. Finally, we evaluated the consequence of PMAIP1 expression levels in relation to ven response. Increased expression of PMAIP1 and elevated levels of NOXA protein in the KMS12PE KI lines was associated with increased sensitivity to ven resulting in ~50% increase in cell death of KI vs. WT lines (p<0.02). Conclusion: We demonstrate a role for cyclin D1 in regulating PMAIP1 expression through H3K27ac resulting in increased NOXA protein. Levels of NOXA are associated with the G allele of rs9344 and increased venetoclax response.

Background Abnormal karyotype is not infrequent in polycythemia vera (PV) and has been associated with shortened survival (BJH 2018;182:437). In the current study, we utilized a large institutional database, in order to describe the spectrum and prevalence of specific cytogenetic abnormalities in PV, during different stages of the disease, and examine their clinical, molecular, and prognostic correlates, in the context of previously established risk factors. Methods After institutional review board approval, we identified 669 cytogenetically-annotated patients with PV, evaluated at the Mayo Clinic between 1973 and 2023, and met the International Consensus Classification diagnostic criteria (Arber et al. Blood 2022;140;1200). Cytogenetic reporting was in accordance with the International System for Human Cytogenomic Nomenclature. Results i) Prevalence of cytogenetic abnormalities at diagnosis and at different stages of the disease 436 of 669 (65%) patients with PV underwent cytogenetic evaluation within one year of diagnosis, 116 (17%) within 1-10 years, 47 (7%) after 10 years, and 70 (10%) at time of fibrotic or leukemic transformation. In patients with cytogenetic information obtained within 1 year of diagnosis, karyotype was normal in 369 (85%), showed loss of Y chromosome (-Y) in 15 (3%), and other abnormalities in 52 (12%). Most common abnormalities included trisomy 9 (n=11; 3%), del(20q) (n=10; 2%), trisomy 8 (n=4; 1%), other sole abnormalities (n=16; 4%), and ≥ 2 abnormalities (n=11; 3%) including complex karyotype (n=4; 0.9%). Frequency of abnormal karyotype was higher with longer disease duration; 15% within a year of diagnosis, 28% in 1-10 years, 49% over 10 years after diagnosis, and 50% at time of fibrotic or leukemic transformation (p<0.01). Sole del (20q), single abnormalities excluding 20q-, +8, +9, or -Y, and ≥ 2 abnormalities including complex karyotype were progressively acquired; respective frequencies within a year of diagnosis, over 10 years after diagnosis, and at time of fibrotic or leukemic transformation were 2%/21%/10% (del (20q), 4%/17%/14% (single abnormality excluding 20q-, +8, +9, or -Y), 3%/11%/19% (≥ 2 abnormalities), 1%/ 2%,/10% (complex karyotype) (all p-values <0.01). In addition, sole +8 displayed highest frequency at fibrotic transformation compared to within a year of diagnosis (5% vs 0.9%; p=0.04). ii) Phenotypic and Molecular Correlates 436 patients with PV (51% males; median age; 64 years) who underwent cytogenetic testing within one year of diagnosis were examined for clinical and molecular correlations. Abnormal karyotype compared to normal karyotype, correlated with older age (median: 70 vs 63 years, p<0.01), male gender (64% vs 48%, p=0.02) and lower platelet count (370 vs 465 × 109/L, p<0.01). Sole del (20q) compared to normal karyotype was associated with older age (median: 76 vs 63 years, p<0.01); sole +8 exclusively occurred in patients ≥ 60 years (p=0.03); sole +9 was associated with venous thrombosis history (45% vs 17%, p=0.03). TET2 and SRSF2 mutations were found to cluster with normal karyotype (18% vs 4%; p=0.04 and 5% vs 0%; p=0.14 in normal vs abnormal karyotype, respectively). iii) Prognostic Impact of Cytogenetic Abnormalities At a median follow-up of 7.4 years (range; 0.04-42.4 years), a total of 163 (37%) patients have died, 50 (11%) and 14 (3%) underwent fibrotic and leukemic transformation, respectively. In univariate analysis for overall survival (OS), abnormal karyotype compared to normal karyotype, was associated with inferior survival (median OS; 10.5 vs 16.3 years, p<0.01). In multivariate analysis, the adverse impact of abnormal karyotype remained significant (p=0.02; HR 2.0, 95% CI 1.2-3.3), along with age ≥60 years, leukocyte count ≥15 × 109/L, and SRSF2 mutations. Abnormal karyotype was also an independent predictor of myelofibrosis-free survival (p<0.01; HR 3.7, 95% CI 1.8-7.8), along with SRSF2 mutations. Analysis of leukemia-free survival revealed abnormal karyotype to be a significant risk factor in univariate (p<0.01), but not multivariate analysis that included SRSF2 mutation (p>0.1). Conclusions The current study provides the distribution of cytogenetic abnormalities at different stages of PV and affirms the prognostic significance of abnormal karyotype at the time of diagnosis, highlighting the importance of incorporating cytogenetic studies in the diagnostic evaluation of PV.

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.

A fetus harboring a duplication of SMAD2 exons 1-6 presented with dextrocardia and pulmonary hypoplasia. Mate-pair sequencing revealed the duplication to be in inverted tandem orientation to the wild-type SMAD2 allele, disrupting its sequence and decreasing expression. These observations suggest SMAD2 to be responsible for the fetal dextrocardia.