Evidence-based review of genomic aberrations in diffuse large B cell lymphoma, not otherwise specified (DLBCL, NOS): Report from the cancer genomics consortium lymphoma working group.

Diffuse large B cell lymphoma, not otherwise specified (DLBCL, NOS) is the most common type of non-Hodgkin lymphoma (NHL). The 2016 World Health Organization (WHO) classification defined DLBCL, NOS and its subtypes based on clinical findings, morphology, immunophenotype, and genetics. However, even within the WHO subtypes, it is clear that additional clinical and genetic heterogeneity exists. Significant efforts have been focused on utilizing advanced genomic technologies to further subclassify DLBCL, NOS into clinically relevant subtypes. These efforts have led to the implementation of novel algorithms to support optimal risk-oriented therapy and improvement in the overall survival of DLBCL patients. We gathered an international group of experts to review the current literature on DLBCL, NOS, with respect to genomic aberrations and the role they may play in the diagnosis, prognosis and therapeutic decisions. We comprehensively surveyed clinical laboratory directors/professionals about their genetic testing practices for DLBCL, NOS. The survey results indicated that a variety of diagnostic approaches were being utilized and that there was an overwhelming interest in further standardization of routine genetic testing along with the incorporation of new genetic testing modalities to help guide a precision medicine approach. Additionally, we present a comprehensive literature summary on the most clinically relevant genomic aberrations in DLBCL, NOS. Based upon the survey results and literature review, we propose a standardized, tiered testing approach which will help laboratories optimize genomic testing in order to provide the maximum information to guide patient care.

Distinct Patterns of Clonal Evolution Drive Myelodysplastic Syndrome Progression to Secondary Acute Myeloid Leukemia.

Clonal evolution in myelodysplastic syndrome (MDS) can result in clinical progression and secondary acute myeloid leukemia (sAML). To dissect changes in clonal architecture associated with this progression, we performed single-cell genotyping of paired MDS and sAML samples from 18 patients. Analysis of single-cell genotypes revealed patient-specific clonal evolution and enabled the assessment of single-cell mutational cooccurrence. We discovered that changes in clonal architecture proceed via distinct patterns, classified as static or dynamic, with dynamic clonal architectures having a more proliferative phenotype by blast count fold change. Proteogenomic analysis of a subset of patients confirmed that pathogenic mutations were primarily confined to primitive and mature myeloid cells, though we also identify rare but present mutations in lymphocyte subsets. Single-cell transcriptomic analysis of paired sample sets further identified gene sets and signaling pathways involved in two cases of progression. Together, these data define serial changes in the MDS clonal landscape with clinical and therapeutic implications. SIGNIFICANCE: Precise clonal trajectories in MDS progression are made possible by single-cell genomic sequencing. Here we use this technology to uncover the patterns of clonal architecture and clonal evolution that drive the transformation to secondary AML. We further define the phenotypic and transcriptional changes of disease progression at the single-cell level. See related article by Menssen et al., p. 330 (31). See related commentary by Romine and van Galen, p. 270. This article is highlighted in the In This Issue feature, p. 265.

Artificial Intelligence in Plasma Cell Myeloma: Neural Networks and Support Vector Machines in the Classification of Plasma Cell Myeloma Data at Diagnosis.

BACKGROUND: Plasma cell neoplasm and/or plasma cell myeloma (PCM) is a mature B-cell lymphoproliferative neoplasm of plasma cells that secrete a single homogeneous immunoglobulin called paraprotein or M-protein. Plasma cells accumulate in the bone marrow (BM) leading to bone destruction and BM failure. Diagnosis of PCM is based on clinical, radiologic, and pathological characteristics. The percent of plasma cells by manual differential (bone marrow morphology), the white blood cell (WBC) count, cytogenetics, fluorescence in situ hybridization (FISH), microarray, and next-generation sequencing of BM are used in the risk stratification of newly diagnosed PCM patients. The genetics of PCM is highly complex and heterogeneous with several genetic subtypes that have different clinical outcomes. National Comprehensive Cancer Network guidelines recommend targeted FISH analysis of plasma cells with specific DNA probes to detect genetic abnormalities for the staging of PCM (4.2021). Recognition of risk categories through training software for classification of high-risk PCM and a novel way of addressing the current approaches through bioinformatics will be a significant step toward automation of PCM analysis. METHODS: A new artificial neural network (ANN) classification model was developed and tested in Python programming language with a first data set of 301 cases and a second data set of 176 cases for a total of 477 cases of PCM at diagnosis. Classification model was also developed with support vector machines (SVM) algorithm in R studio and interactive data visuals using Tableau. RESULTS: The resulting ANN algorithm had 94% accuracy for the first and second data sets with a classification summary of precision (PPV): 0.97, recall (sensitivity): 0.76, f1 score: 0.83, and accuracy of logistic regression of 1.0. SVM of plasma cells versus TP53 revealed a 95% accuracy level. CONCLUSION: A novel classification model based only on specific morphological and genetic variables was developed using a machine learning algorithm, the ANN. ANN identified an association of WBC and BM plasma cell percentage with two of the high-risk genetic categories in the diagnostic cases of PCM. With further training and testing of additional data sets that include morphologic and additional genetic rearrangements, the newly developed ANN model has the potential to develop an accurate classification of high-risk categories of PCM.

Clinical diagnosis of neurofibromatosis type I in multiple family members due to cosegregation of a unique balanced translocation with disruption of the NF1 locus: Testing considerations for accurate diagnosis.

Neurofibromatosis type 1 (NF1) is an autosomal dominant disorder that causes a predisposition to develop tumors along the peripheral nervous system. The NF1 gene, located at 17q11.2, has the highest mutation rate among known human genes and about half of NF1 patients have de novo pathogenic variants. We present a case of clinical NF1 diagnoses in multiple family members with phenotypes ranging from mild to severe. Chromosome analysis of the 3-year-old female proband with NF1 resulted in an abnormal karyotype that was inherited from her mother: 46,XX,t(4;17)(q21.3;q11.2) mat. However, no NF1 genetic variants were identified by either NGS analysis of NF1 DNA coding regions, deletion-duplication studies, or by cytogenomic microarray copy number analysis. Follow-up chromosome studies of the proband's two male siblings demonstrated cosegregation of the same balanced translocation and a clinical diagnosis of NF1. Based on the cosegregation of the translocation with the NF1 clinical presentation in this family, we hypothesized that the NF1 gene may have been disrupted by this unique rearrangement. Subsequent fluorescence in situ hybridization (FISH) analysis of the metaphase cells of an affected sibling revealed a disruption of the NF1 gene confirming the underlying basis of the clinical NF1 presentation in this family. The utilization of traditional cytogenetic as well as evolving molecular methods was not only pivotal in the diagnosis of NF1 and management for this family, but is also pertinent to other patients with a family history of NF1.

Evidence-based review of genomic aberrations in B-lymphoblastic leukemia/lymphoma: Report from the cancer genomics consortium working group for lymphoblastic leukemia.

Clinical management and risk stratification of B-lymphoblastic leukemia/ lymphoma (B-ALL/LBL) depend largely on identification of chromosomal abnormalities obtained using conventional cytogenetics and Fluorescence In Situ Hybridization (FISH) testing. In the last few decades, testing algorithms have been implemented to support an optimal risk-oriented therapy, leading to a large improvement in overall survival. In addition, large scale genomic studies have identified multiple aberrations of prognostic significance that are not routinely tested by existing modalities. However, as chromosomal microarray analysis (CMA) and next-generation sequencing (NGS) technologies are increasingly used in clinical management of hematologic malignancies, these abnormalities may be more readily detected. In this article, we have compiled a comprehensive, evidence-based review of the current B-ALL literature, focusing on known and published subtypes described to date. More specifically, we describe the role of various testing modalities in the diagnosis, prognosis, and therapeutic relevance. In addition, we propose a testing algorithm aimed at assisting laboratories in the most effective detection of the underlying genomic abnormalities.

Clinicopathologic correlates of MYD88 L265P mutation and programmed cell death (PD-1) pathway in primary central nervous system lymphoma.

Primary central nervous system lymphoma (PCNSL) patients have a poorer prognosis than systemic lymphoma. Gain-of-function MYD88 c.794T > C (p. L265P) mutation and programed cell death-1 (PD-1) pathway alterations are potential targetable pathways. Our study objective was to determine the clinicopathologic correlates of MYD88 mutation and PD-1 alterations in PCNSL and the impact of Epstein-Barr virus (EBV) infection. We studied 53 cases including 13 EBV-associated (EBVpos) PCNSL, 49% harbored MYD88 mutation, none seen in EBVpos PCNSL. MYD88 protein expression did not correlate with MYD88 mutation. T-cell and macrophage infiltration was common. All PD-L1-positive tumors were EBVpos. Two PD-L1 positive tumors showed 9p24.1/PD-L1 locus alterations by Fluorescence In Situ Hybridization. T cells and macrophages expressed PD-1 and/or PD-L1 in 98% and 83% cases, respectively. MYD88 mutation or protein expression and PD-1 or PD-L1 expression did not predict outcome. We hypothesize that EBVpos PCNSL has a distinct activation mechanism, independent of genetic alterations.

BCR-ABL1-like B-Lymphoblastic Leukemia/Lymphoma with FOXP1-ABL1 Rearrangement: Comprehensive Laboratory Identification Allowing Tyrosine Kinase Inhibitor Use.

B-lymphoblastic leukemia/lymphoma (B-ALL) is the most common type of childhood cancer; it also occurs in teenagers and adults, in whom the prognosis is generally less favorable. Therapeutic and molecular advances have substantially improved the treatment for subtypes of B-ALL, such that subclassification by cytogenetic and molecular alterations is critical for risk stratification and management. Novel rearrangements involving ABL1, JAK2, EPO, and other kinases have been identified that may respond to inhibition akin to BCR-ABL1. This diverse group of leukemias has been recognized as a provisional entity in the 2016 revision of the World Health Organization (WHO) Classification of the Hematopoietic Neoplasms as B-lymphoblastic leukemia/lymphoma, BCR-ABL1-like (Ph-like B-ALL). Herein, we present cytogenetic and molecular analysis of a case of B-ALL in a 16-year-old Caucasian boy with t(3;9) FOXP1-ABL1 rearrangement and concurrent loss of IKZF1, CDKN2A, and RB1 gene loci, meeting WHO criteria for Ph-like ALL. This case highlights diagnostic, prognostic, and therapeutic considerations of this recently recognized entity.

Assessing copy number aberrations and copy neutral loss of heterozygosity across the genome as best practice: An evidence based review of clinical utility from the cancer genomics consortium (CGC) working group for myelodysplastic syndrome, myelodysplastic/myeloproliferative and myeloproliferative neoplasms.

Multiple studies have demonstrated the utility of chromosomal microarray (CMA) testing to identify clinically significant copy number alterations (CNAs) and copy-neutral loss-of-heterozygosity (CN-LOH) in myeloid malignancies. However, guidelines for integrating CMA as a standard practice for diagnostic evaluation, assessment of prognosis and predicting treatment response are still lacking. CMA has not been recommended for clinical work-up of myeloid malignancies by the WHO 2016 or the NCCN 2017 guidelines but is a suggested test by the European LeukaemiaNet 2013 for the diagnosis of primary myelodysplastic syndrome (MDS). The Cancer Genomics Consortium (CGC) Working Group for Myeloid Neoplasms systematically reviewed peer-reviewed literature to determine the power of CMA in (1) improving diagnostic yield, (2) refining risk stratification, and (3) providing additional genomic information to guide therapy. In this manuscript, we summarize the evidence base for the clinical utility of array testing in the workup of MDS, myelodysplastic/myeloproliferative neoplasms (MDS/MPN) and myeloproliferative neoplasms (MPN). This review provides a list of recurrent CNAs and CN-LOH noted in this disease spectrum and describes the clinical significance of the aberrations and how they complement gene mutation findings by sequencing. Furthermore, for new or suspected diagnosis of MDS or MPN, we present suggestions for integrating genomic testing methods (CMA and mutation testing by next generation sequencing) into the current standard-of-care clinical laboratory testing (karyotype, FISH, morphology, and flow).

Assessing copy number abnormalities and copy-neutral loss-of-heterozygosity across the genome as best practice in diagnostic evaluation of acute myeloid leukemia: An evidence-based review from the cancer genomics consortium (CGC) myeloid neoplasms working group.

Structural genomic abnormalities, including balanced chromosomal rearrangements, copy number gains and losses and copy-neutral loss-of-heterozygosity (CN-LOH) represent an important category of diagnostic, prognostic and therapeutic markers in acute myeloid leukemia (AML). Genome-wide evaluation for copy number abnormalities (CNAs) is at present performed by karyotype analysis which has low resolution and is unobtainable in a subset of cases. Furthermore, examination for possible CN-LOH in leukemia cells is at present not routinely performed in the clinical setting. Chromosomal microarray (CMA) analysis is a widely available assay for CNAs and CN-LOH in diagnostic laboratories, but there are currently no guidelines how to best incorporate this technology into clinical testing algorithms for neoplastic diseases including AML. The Cancer Genomics Consortium Working Group for Myeloid Neoplasms performed an extensive review of peer-reviewed publications focused on CMA analysis in AML. Here we summarize evidence regarding clinical utility of CMA analysis in AML extracted from published data, and provide recommendations for optimal utilization of CMA testing in the diagnostic workup. In addition, we provide a list of CNAs and CN-LOH regions which have documented clinical significance in diagnosis, prognosis and treatment decisions in AML.

Limited Utility of Fluorescence In Situ Hybridization for Recurrent Abnormalities in Acute Myeloid Leukemia at Diagnosis and Follow-up.

OBJECTIVES: Acute myeloid leukemia (AML) is classified in part by recurrent cytogenetic abnormalities, often detected by both fluorescent in situ hybridization (FISH) and karyotype. The goal of this study was to assess the utility of FISH and karyotyping at diagnosis and follow-up. METHODS: Adult AML samples at diagnosis or follow-up with karyotype and FISH were identified. Concordance was determined, and clinical characteristics and outcomes for discordant results were evaluated. RESULTS: Karyotype and FISH results were concordant in 193 (95.0%) of 203 diagnostic samples. In 10 cases, FISH detected an abnormality, but karyotype was normal. Of these, one had a FISH result with clinical significance. In follow-up cases, 17 (8.1%) of 211 showed FISH-positive discordant results; most were consistent with low-level residual disease. CONCLUSIONS: Clinically significant discordance between karyotype and AML FISH is uncommon. Consequently, FISH testing can safely be omitted from most of these samples. Focused FISH testing is more useful at follow-up, for minimal residual disease detection.

The ambiguous boundary between EBV-related hemophagocytic lymphohistiocytosis and systemic EBV-driven T cell lymphoproliferative disorder.

Epstein Barr virus (EBV)-related hemophagocytic lymphohistiocytosis (EBV-HLH) is a form of acquired, infection-related HLH which typically represents a fulminant presentation of an acute EBV infection of CD8+ T cells with 30-50% mortality rate. Systemic EBV-positive lymphoproliferative disease of childhood (SE-LPD) is a rare T cell lymphoproliferative disorder predominantly arising in the setting of acute EBV infection, often presenting with HLH. Since both entities have been associated with clonal T cell populations, the discrimination between these diseases is often ambiguous. We report a unique case of a 21 years old female who presented with clinical and laboratory findings of florid HLH in the setting of markedly elevated EBV titers (>1 million) and an aberrant T cell population shown to be clonal by flow cytometry, karyotype, and molecular studies. This case raises the differential of EBV-HLH versus SE-LPD. Review of the literature identified 74 cases of reported EBV-HLH and 21 cases of SE-LPD with associated HLH in 25 studies. Of those cases with available outcome data, 62 of 92 cases (67%) were fatal. Of 60 cases in which molecular clonality was demonstrated, 37 (62%) were fatal, while all 14 cases (100%) demonstrating karyotypic abnormalities were fatal. Given the karyotypic findings in this sentinel case, a diagnosis of SE-LPD was rendered. The overlapping clinical and pathologic findings suggest that EBV-HLH and SE-LPD are a biologic continuum, rather than discrete entities. The most clinically useful marker of mortality was an abnormal karyotype rather than other standards of clonality assessment.

Systematic screen for tyrosine kinase rearrangements identifies a novel C6orf204-PDGFRB fusion in a patient with recurrent T-ALL and an associated myeloproliferative neoplasm.

Gene fusions involving the catalytic domain of tyrosine kinases (TKs) are found in a variety of hematological and solid tumor malignancies. Clinically, TK fusions have emerged as prime targets for therapy with small molecule kinase inhibitors. Unfortunately, identification of TK fusions has been hampered by experimental limitations. Here, we developed version 2.0 of a genomically based systematic kinase fusion screen and used it to detect a novel imatinib-sensitive C6orf204-PDGFRB fusion in a patient with precursor T lymphoblastic lymphoma (T-ALL) and an associated myeloproliferative neoplasm with eosinophilia. These data validate the ability of this targeted capture-sequencing approach to detect TK fusion events in small amounts of DNA extracted directly from patient samples.

Hdac3 is essential for the maintenance of chromatin structure and genome stability.

Hdac3 is essential for efficient DNA replication and DNA damage control. Deletion of Hdac3 impaired DNA repair and greatly reduced chromatin compaction and heterochromatin content. These defects corresponded to increases in histone H3K9,K14ac; H4K5ac; and H4K12ac in late S phase of the cell cycle, and histone deposition marks were retained in quiescent Hdac3-null cells. Liver-specific deletion of Hdac3 culminated in hepatocellular carcinoma. Whereas HDAC3 expression was downregulated in only a small number of human liver cancers, the mRNA levels of the HDAC3 cofactor NCOR1 were reduced in one-third of these cases. siRNA targeting of NCOR1 and SMRT (NCOR2) increased H4K5ac and caused DNA damage, indicating that the HDAC3/NCOR/SMRT axis is critical for maintaining chromatin structure and genomic stability.

DDB1 maintains genome integrity through regulation of Cdt1.

DDB1, a component of a Cul4A ubiquitin ligase complex, promotes nucleotide excision repair (NER) and regulates DNA replication. We have investigated the role of human DDB1 in maintaining genome stability. DDB1-depleted cells accumulate DNA double-strand breaks in widely dispersed regions throughout the genome and have activated ATM and ATR cell cycle checkpoints. Depletion of Cul4A yields similar phenotypes, indicating that an E3 ligase function of DDB1 is important for genome maintenance. In contrast, depletion of DDB2, XPA, or XPC does not cause activation of DNA damage checkpoints, indicating that defects in NER are not involved. One substrate of DDB1-Cul4A that is crucial for preventing genome instability is Cdt1. DDB1-depleted cells exhibit increased levels of Cdt1 protein and rereplication, despite containing other Cdt1 regulatory mechanisms. The rereplication, accumulation of DNA damage, and activation of checkpoint responses in DDB1-depleted cells require entry into S phase and are partially, but not completely, suppressed by codepletion of Cdt1. Therefore, DDB1 prevents DNA lesions from accumulating in replicating human cells, in part by regulating Cdt1 degradation.