A germinal center-associated microenvironmental signature reflects malignant phenotype and outcome of DLBCL.

Diffuse large B-cell lymphoma (DLBCL) is the most common B-cell malignancy, with varying prognosis after the gold standard rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP). Several prognostic models have been established by focusing primarily on characteristics of lymphoma cells themselves, including cell-of-origin (COO), genomic alterations, and gene/protein expressions. However, the prognostic impact of the lymphoma microenvironment and its association with characteristics of lymphoma cells are not fully understood. Using the nCounter-based gene expression profiling of untreated DLBCL tissues, we assess the clinical impact of lymphoma microenvironment on the clinical outcomes and pathophysiological, molecular signatures in DLBCL. The presence of normal germinal center (GC)-microenvironmental cells, including follicular T cells, macrophage/dendritic cells, and stromal cells in lymphoma tissue indicates a positive therapeutic response. Our prognostic model, based on quantitation of transcripts from distinct GC-microenvironmental cell markers, clearly identified patients with graded prognosis independently of existing prognostic models. We observed increased incidences of genomic alterations and aberrant gene expression associated with poor prognosis in DLBCL tissues lacking GC-microenvironmental cells relative to those containing these cells. These data suggest that the loss of GC-associated microenvironmental signature dictates clinical outcomes of DLBCL patients reflecting the accumulation of "unfavorable" molecular signatures.

Clinical and molecular characterization of virus-positive and virus-negative Merkel cell carcinoma.

BACKGROUND: Merkel cell carcinoma (MCC) is a highly aggressive neuroendocrine carcinoma of the skin caused by either the integration of Merkel cell polyomavirus (MCPyV) and expression of viral T antigens or by ultraviolet-induced damage to the tumor genome from excessive sunlight exposure. An increasing number of deep sequencing studies of MCC have identified significant differences between the number and types of point mutations, copy number alterations, and structural variants between virus-positive and virus-negative tumors. However, it has been challenging to reliably distinguish between virus positive and UV damaged MCC. METHODS: In this study, we assembled a cohort of 71 MCC patients and performed deep sequencing with OncoPanel, a clinically implemented, next-generation sequencing assay targeting over 400 cancer-associated genes. To improve the accuracy and sensitivity for virus detection compared to traditional PCR and IHC methods, we developed a hybrid capture baitset against the entire MCPyV genome and software to detect integration sites and structure. RESULTS: Sequencing from this approach revealed distinct integration junctions in the tumor genome and generated assemblies that strongly support a model of microhomology-initiated hybrid, virus-host, circular DNA intermediate that promotes focal amplification of host and viral DNA. Using the clear delineation between virus-positive and virus-negative tumors from this method, we identified recurrent somatic alterations common across MCC and alterations specific to each class of tumor, associated with differences in overall survival. Finally, comparing the molecular and clinical data from these patients revealed a surprising association of immunosuppression with virus-negative MCC and significantly shortened overall survival. CONCLUSIONS: These results demonstrate the value of high-confidence virus detection for identifying molecular mechanisms of UV and viral oncogenesis in MCC. Furthermore, integrating these data with clinical data revealed features that could impact patient outcome and improve our understanding of MCC risk factors.

Next-generation sequencing informs diagnosis and identifies unexpected therapeutic targets in lung squamous cell carcinomas.

OBJECTIVES: Potentially targetable genomic alterations have been identified in lung squamous cell carcinoma (LUSC), but none have yet translated into effective therapy. We examined potential benefits of next generation sequencing (NGS) in a cohort of consecutive LUSC patients with emphasis on distinctions between smokers and light/never smokers and implications for clinical trial enrollment. METHODS: We retrospectively evaluated results from an internally developed NGS assay (OncoPanel) targeting ∼300 genes with a mean overall target coverage of >200x for consecutive LUSC seen at our institution over 30 months. RESULTS: Tissue was obtained from 172 patients for targeted NGS. 42 (24 %) samples were insufficient for testing. Median age of tested patients was 66, including 87 % moderate/heavy versus 13 % light/never smokers; 66 % were stage IIIB or IV. Of 130 patients with evaluable NGS results, 49 (38 %) had at least 1 alteration qualifying for enrollment to a LungMAP treatment arm (PIK3CA, MET, FGFR family, cell cycle, or homologous recombination pathways) or for an approved therapy or other clinical trial (e.g. EGFR sensitizing mutations, MET exon 14 splice mutations, TSC1/2 mutation, or microsatellite instability). Therapeutic targets were enriched in light/never smokers (47 % vs 35 % moderate/heavy smokers). Unexpectedly, genomic features suggested an alternative diagnosis (metastatic cutaneous squamous carcinoma; mesothelioma) in 7 patients, including 35 % of never/light smokers. CONCLUSION: NGS in a real-world LUSC cohort yields potentially targetable genomic alterations informing clinical trial enrollment and approved therapies and critical diagnostic insights. Our findings strongly support current guidelines recommending mutational profiling of LUSC arising in light/never smoking patients; the utility of sequencing in smokers with LUSC appears to be limited to identification of research targets.

Alisertib plus induction chemotherapy in previously untreated patients with high-risk, acute myeloid leukaemia: a single-arm, phase 2 trial.

BACKGROUND: Increased aurora A kinase (AAK) expression occurs in acute myeloid leukaemia; AAK inhibition is a promising therapeutic target in this disease. We therefore aimed to assess the activity of alisertib combined with 7 + 3 induction chemotherapy in previously untreated patients with high-risk acute myeloid leukaemia. METHODS: We did a single-arm, phase 2 trial of patients recruited from the Dana-Farber/Harvard Cancer Center in the USA. Eligible patients had previously untreated acute myeloid leukaemia, an Eastern Cooperative Oncology Group performance status of 0-2, and were at high risk of disease as defined by the presence of an adverse-risk karyotype, the presence of secondary acute myeloid leukaemia arising from previous myelodysplastic syndrome or myeloproliferative neoplasm, the presence of therapy-related acute myeloid leukaemia, or being 65 years or older. Enrolled patients received 7 + 3 induction chemotherapy of continuous infusion of cytarabine (100 mg/m2 per day on days 1-7) and intravenous bolus of idarubicin (12 mg/m2 per day on days 1-3). Oral alisertib (30 mg) was given twice per day on days 8-15. Patients could receive up to four consolidation cycles with cytarabine and alisertib, and alisertib maintenance for 12 months. The primary endpoint was a composite including the proportion of patients achieving complete remission and those with a complete remission with incomplete neutrophil or platelet count recovery. Analyses were per-protocol. This study is registered with Clinicaltrials.gov, number NCT02560025, and has completed enrolment. FINDINGS: Between Dec 31, 2015, and Aug 1, 2017, we enrolled a total of 39 eligible patients. 19 (49%) of 39 patients had secondary acute myeloid leukaemia and three (8%) had therapy-related acute myeloid leukaemia. At mid-induction, 33 (85%) of 39 patients showed marrow aplasia, six (15%) received re-induction. The median follow-up was 13·7 months (IQR 12·7-14·4). Composite remission was 64% (two-stage 95% CI 48-79), with 20 (51%) of 39 patients achieving complete remission and five (13%) achieving complete remission with incomplete neutrophil or platelet count recovery. The most common grade 3 or 4 adverse events included febrile neutropenia (16 [41%] of 39), neutropenia (12 [31%]), thrombocytopenia (13 [33%]), anaemia (11 [28%]), anorexia (nine [23%]), and oral mucositis (four [10%]). No treatment-related deaths were observed. INTERPRETATION: These results suggest that alisertib combined with induction chemotherapy is active and safe in previously untreated patients with high-risk acute myeloid leukaemia. This study met criteria to move forward to a future randomised trial. FUNDING: Millennium Pharmaceuticals.

Premalignant Clonal Hematopoietic Proliferations.

OBJECTIVES: The 2017 Workshop of the Society for Hematopathology/European Association for Hematopathology aimed to review premalignant clonal hematopoietic proliferations. METHODS: The workshop panel reviewed 27 cases of clonal proliferations of indeterminate significance or potential (18 myeloid, nine lymphoid) and rendered consensus diagnoses. RESULTS: Immunophenotyping and genetic studies on peripheral blood, bone marrow, and lymph node samples have led to the incidental detection of small clonal populations in asymptomatic individuals. These premalignant clonal myeloid and lymphoid proliferations include monoclonal gammopathy of uncertain significance, monoclonal B-cell lymphocytosis, in situ follicular neoplasia, in situ mantle cell neoplasia, clonal hematopoiesis of indeterminate potential, and clonal cytopenia of undetermined significance. CONCLUSIONS: Current diagnostic criteria for the diagnoses of premalignant clonal hematopoietic proliferations are reviewed and discussed in the context of the cases presented at the workshop.

Next generation sequencing in hematolymphoid neoplasia.

Large scale sequencing projects over the past 2 decades have led to the identification of many common genomic alterations in hematolymphoid neoplasms, some of which with diagnostic, therapeutic, and prognostic implications [1-3]. Although these alterations can be tested individually with high sensitivity and specificity using dedicated single gene tests, it is increasingly impractical and costly to test them separately as the number of alterations grows. Instead, multiplex testing platforms that can test multiple targets in a specimen have been developed. Among these platforms, massively parallel sequencing technologies (so-called next-generation sequencing [NGS] [4]) prove to be most versatile and is increasingly being used to build tests to meet the clinical testing need. In hematolymphoid neoplasms, the early incorporation of molecular findings into the diagnostic criteria by WHO [5] has further accelerated the adoption of NGS-based tests in routine clinical practice. This article focuses on what is used in the clinical diagnostic laboratories today and is not intended to be a review of the NGS technology or its future direction. Following discussion of the 2 families of sequencing instruments from Illumina and Thermo Fisher and 3 target enrichment methods, aspects of the analysis and report of NGS results that is clinically relevant are discussed.

High NPM1-mutant allele burden at diagnosis predicts unfavorable outcomes in de novo AML.

Acute myeloid leukemia (AML) with mutated NPM1 is a newly recognized separate entity in the revised 2016 World Health Organization classification and is associated with a favorable prognosis. Although previous studies have evaluated NPM1 in a binary fashion, little is known about the significance of its mutant allele burden at diagnosis, nor has the effect of comutations (other than FLT3) been extensively evaluated. We retrospectively used targeted sequencing data from 109 patients with de novo AML with mutated NPM1 to evaluate the potential significance of NPM1 variant allele frequency (VAF), comutations, and clinical parameters with regard to patient outcomes. We observed that high NPM1 VAF (uppermost quartile) correlated with shortened overall survival (median, 12.1 months vs not reached; P < .0001) as well as event-free survival (median, 7.5 vs 65.44 months; P < .0001) compared with the other NPM1-mutated cases. In both univariate and multivariable analyses, high NPM1 VAF had a particularly adverse prognostic effect in the subset of patients treated with stem-cell transplantation in first remission (P = .0004) and in patients with mutated DNMT3A (P < .0001). Our findings indicate that the prognostic effect of NPM1 mutation in de novo AML may be influenced by the relative abundance of the mutated allele.

Frameshift events predict anti-PD-1/L1 response in head and neck cancer.

Programmed cell death protein 1 (PD-1) inhibitors have efficacy in treating squamous cell carcinoma of the head and neck (SCCHN), but objective response rates are low. PD-1 ligand (PD-L1) expression alone is not considered a robust predictor of response and additional biomarkers are needed. This 3-year observational cohort followed 126 SCCHN patients treated with anti-PD-1/L1 therapy. Prior to treatment, 81 (64%) had targeted massively parallel tumor sequencing. Of these, 42 (52%) underwent fluorescence-activated cell sorting and PD-L1 immunohistochemistry for tumor immunoprofiling. Six (5%) complete responses (CRs) and 11 (9%) partial responses (PRs) were observed. Those treated with prior chemotherapy (98, 78%) versus only surgery and/or radiation had longer overall survival (OS) (10 vs. 3 months, P = 0.02). Smokers had a higher total mutational burden (TMB) (P = 0.01). Virus-positive patients had a lower TMB (P < 0.01) and improved OS (P = 0.02). Among virus-negative responders, NOTCH1 and SMARCA4 were more frequently mutated and frameshift events in tumor suppressor genes occurred more frequently (P = 0.03). Higher TMB and CD8+ T cell infiltrates predicted anti-PD-1/L1 benefit (P < 0.01, P < 0.01, respectively) among virus-negative tumors. TIM-3/LAG-3 coexpression with PD-1 was higher on T cells among nonresponders (P = 0.03 and 0.02, respectively). Somatic frameshift events in tumor suppressor genes and higher TMB among virus-negative SCCHN tumors predict anti-PD-1/L1 response.

A distinct immunophenotype identifies a subset of NPM1-mutated AML with TET2 or IDH1/2 mutations and improved outcome.

Recent work has identified distinct molecular subgroups of acute myeloid leukemia (AML) with implications for disease classification and prognosis. NPM1 is one of the most common recurrently mutated genes in AML. NPM1 mutations often co-occur with FLT3-ITDs and mutations in genes regulating DNA methylation, such as DNMT3A, TET2, and IDH1/2. It remains unclear whether these genetic alterations are associated with distinct immunophenotypic findings or affect prognosis. We identified 133 cases of NPM1-mutated AML and correlated sequencing data with immunophenotypic and clinical findings. Of 84 cases (63%) that lacked monocytic differentiation ("myeloid AML"), 40 (48%) demonstrated an acute promyelocytic leukemia-like (APL-like) immunophenotype by flow cytometry, with absence of CD34 and HLA-DR and strong myeloperoxidase expression, in the absence of a PML-RARA translocation. Pathologic variants in TET2, IDH1, or IDH2 were identified in 39/40 APL-like cases. This subset of NPM1-mutated AML was associated with longer relapse-free and overall survival, when compared with cases that were positive for CD34 and/or HLA-DR. The combination of NPM1 and TET2 or IDH1/2 mutations along with an APL-like immunophenotype identifies a distinct subtype of AML. Further studies addressing its biology and clinical significance may be especially relevant in the era of IDH inhibitors and recent work showing efficacy of ATRA therapy in NPM1 and IDH1-mutated AML.

The relative utilities of genome-wide, gene panel, and individual gene sequencing in clinical practice.

Advances in technology that have transpired over the past 2 decades have enabled the analysis of cancer samples for genomic alterations to understand their biologic function and to translate that knowledge into clinical practice. With the power to analyze entire genomes in a clinically relevant time frame and with manageable costs comes the question of whether we ought to and when. This review focuses on the relative merits of 3 approaches to molecular diagnostics in hematologic malignancies: indication-specific single gene assays, gene panel assays that test for genes selected for their roles in cancer, and genome-wide assays that broadly analyze the tumor exomes or genomes. After addressing these in general terms, we review specific use cases in myeloid and lymphoid malignancies to highlight the utility of single gene testing and/or larger panels.

Validation of OncoPanel: A Targeted Next-Generation Sequencing Assay for the Detection of Somatic Variants in Cancer.

CONTEXT: - The analysis of somatic mutations across multiple genes in cancer specimens may be used to aid clinical decision making. The analytical validation of targeted next-generation sequencing panels is important to assess accuracy and limitations. OBJECTIVE: - To report the development and validation of OncoPanel, a custom targeted next-generation sequencing assay for cancer. DESIGN: - OncoPanel was designed for the detection of single-nucleotide variants, insertions and deletions, copy number alterations, and structural variants across 282 genes with evidence as drivers of cancer biology. We implemented a validation strategy using formalin-fixed, paraffin-embedded, fresh or frozen samples compared with results obtained by clinically validated orthogonal technologies. RESULTS: - OncoPanel achieved 98% sensitivity and 100% specificity for the detection of single-nucleotide variants, and 84% sensitivity and 100% specificity for the detection of insertions and deletions compared with single-gene assays and mass spectrometry-based genotyping. Copy number detection achieved 86% sensitivity and 98% specificity compared with array comparative genomic hybridization. The sensitivity of structural variant detection was 74% compared with karyotype, fluorescence in situ hybridization, and polymerase chain reaction. Sensitivity was affected by inconsistency in the detection of FLT3 and NPM1 alterations and IGH rearrangements due to design limitations. Limit of detection studies demonstrated 98.4% concordance across triplicate runs for variants with allele fraction greater than 0.1 and at least 50× coverage. CONCLUSIONS: - The analytical validation of OncoPanel demonstrates the ability of targeted next-generation sequencing to detect multiple types of genetic alterations across a panel of genes implicated in cancer biology.

Determination of VH Family Usage in B-Cell Malignancies via the BIOMED-2 IGH PCR Clonality Assay.

OBJECTIVES: To determine whether V H family usage in B-cell lymphoproliferative disorders can be deduced from polymerase chain reaction (PCR) product-length information obtained through the BIOMED-2 (Invivoscribe, San Diego, CA) clonality assay. METHODS: We develop an algorithm that uses the sizing information of the BIOMED-2 immunoglobulin heavy chain (IGH) clonality assay to deduce V H family usage. PCR with family-specific primers on 51 clinical samples containing 54 rearranged alleles were used to validate the algorithm. RESULTS: The clonal PCR products in different framework reactions contain the same NDN segment (because they are from the same allele). Subtracting the size of the framework III product from the size of the framework I and II products yields the relative position of the framework primer binding sites for the V H segment used. The V H family can be assigned with these relative positions because they are V H family specific in the BIOMED-2 assay. The V H family assigned by the algorithm was concordant with family-specific PCR results for 49 (96%) of the 51 specimens. CONCLUSIONS: We have developed an algorithm that can correctly assign V H family usage when all three BIOMED-2 framework reactions produced clonal products. Given the wide adoption of BIOMED-2 assay, the algorithm can facilitate collection of IGH V H usage data without additional cost to the laboratories.

Molecular Analysis of Genetic Markers for Non-Hodgkin Lymphomas.

Molecular analysis complements the clinical and histopathologic tools used to diagnose and subclassify hematologic malignancies. The presence of clonal antigen-receptor gene rearrangements can help to confirm the diagnosis of a B or T cell lymphoma and can serve as a fingerprint of that neoplasm to be used in identifying concurrent disease at disparate sites or recurrence at future time points. Certain lymphoid malignancies harbor a characteristic chromosomal translocation, a finding that may have significant implications for an individual's prognosis or response to therapy. The polymerase chain reaction (PCR) is typically used to detect antigen-receptor gene rearrangements as well as specific translocations that can be supplemented by fluorescence in situ hybridization (FISH) and karyotype analysis. © 2017 by John Wiley & Sons, Inc.

Clinical and Technical Aspects of Genomic Diagnostics for Precision Oncology.

The emergence of precision medicine has been predicated on significant recent advances in diagnostic technology, particularly the advent of next-generation sequencing (NGS). Although the chemical technology underlying NGS is complex, and the computational biology expertise required to build systems to facilely interpret the results is highly specialized, the variables involved in designing and deploying a genomic testing program for cancer can be readily understood and applied by understanding several basic considerations. In this review, we present key strategic decisions required to optimize a genomic testing program and summarize the technical aspects of different technologies that render those methods more or less suitable for different types of programs.

Molecular Analysis of Gene Rearrangements and Mutations in Acute Leukemias and Myeloid Neoplasms.

A subset of acute leukemias and other myeloid neoplasms contains specific genetic alterations, many of which are associated with unique clinical and pathologic features. These alterations include chromosomal rearrangements leading to oncogenic fusion proteins or alteration of gene expression by juxtaposing oncogenes to enhancer elements, as well as mutations leading to aberrant activation of a variety of proteins critical to hematopoietic progenitor cell proliferation and differentiation. Molecular analysis is central to diagnosis and clinical management of leukemias, permitting genetic confirmation of a clinical and histologic impression, providing prognostic and predictive information, and facilitating detection of minimal residual disease. This unit will outline approaches to the molecular diagnosis of the most frequent and clinically relevant genetic alterations in acute leukemias and myeloid neoplasms. © 2017 by John Wiley & Sons, Inc.

Detection of Mismatch Repair Deficiency and Microsatellite Instability in Colorectal Adenocarcinoma by Targeted Next-Generation Sequencing.

Mismatch repair protein deficiency (MMR-D) and high microsatellite instability (MSI-H) are features of Lynch syndrome-associated colorectal carcinomas and have implications in clinical management. We evaluate the ability of a targeted next-generation sequencing panel to detect MMR-D and MSI-H based on mutational phenotype. Using a criterion of >40 total mutations per megabase or >5 single-base insertion or deletion mutations in repeats per megabase, sequencing achieves 92% sensitivity and 100% specificity for MMR-D by immunohistochemistry in a training cohort of 149 colorectal carcinomas and 91% sensitivity and 98% specificity for MMR-D in a validation cohort of 94 additional colorectal carcinomas. False-negative samples are attributable to tumor heterogeneity, and next-generation sequencing results are concordant with analysis of microsatellite loci by PCR. In a subset of 95 carcinomas with microsatellite analysis, sequencing achieves 100% sensitivity and 99% specificity for MSI-H in the combined training and validation set. False-positive results for MMR-D and MSI-H are attributable to ultramutated cancers with POLE mutations, which are confirmed by direct sequencing of the POLE gene and are detected by mutational signature analysis. These findings provide a framework for a targeted tumor sequencing panel to accurately detect MMR-D and MSI-H in colorectal carcinomas.