Validation and interpretation of IGH and TCR clonality testing by Ion Torrent S5 NGS for diagnosis and disease monitoring in B and T cell cancers

Molecular Features of HHV8 Monoclonal Microlymphoma Associated with Kaposi Sarcoma and Multicentric Castleman Disease in an HIV-Negative Patient

Human herpesvirus 8 (HHV8)-associated diseases include Kaposi sarcoma (KS), multicentric Castleman disease (MCD), germinotropic lymphoproliferative disorder (GLPD), Kaposi sarcoma inflammatory cytokine syndrome (KICS), HHV8-positive diffuse large B-cell lymphoma (HHV8+ DLBCL), primary effusion lymphoma (PEL), and extra-cavitary PEL (ECPEL). We report the case of a human immunodeficiency virus (HIV)-negative male treated for cutaneous KS, who developed generalized lymphadenopathy, hepatosplenomegaly, pleural and abdominal effusions, renal insufficiency, and pancytopenia. The excised lymph node showed features of concomitant involvement by micro-KS and MCD, with aggregates of HHV8+, Epstein Barr virus (EBV)-negative, IgM+, and lambda+ plasmablasts reminiscent of microlymphoma. Molecular investigations revealed a somatically hypermutated (SHM) monoclonal rearrangement of the immunoglobulin heavy chain (IGH), accounting for 4% of the B-cell population of the lymph node. Mutational analyses identified a pathogenic variant of KMT2D and variants of unknown significance in KMT2D, FOXO1, ARID1A, and KMT2A. The patient died shortly after surgery. The histological features (HHV8+, EBV-, IgM+, Lambda+, MCD+), integrated with the molecular findings (monoclonal IGH, SHM+, KMT2D mutated), supported the diagnosis of a monoclonal HHV8+ microlymphoma, with features intermediate between an incipient HHV8+ DLBCL and an EBV-negative ECPEL highlighting the challenges in the accurate classification of HHV8-driven lymphoid proliferations.

A novel telomere biology disease-associated gastritis identified through a whole exome sequencing-driven approach

A whole exome sequencing (WES)-driven approach to uncover the etiology of unexplained inflammatory gastritides has been underutilized by surgical pathologists. Here, we discovered the pathobiology of an unusual chronic atrophic gastritis in two unrelated patients using this approach. The gastric biopsies were notable for an unusual pattern of gastritis with persistent dense inflammation, loss of both parietal and neuroendocrine cells in the oxyntic mucosa, and sparing of the antral mucosa. The patients were found to harbor pathogenic variants in telomeropathic genes (POT1 and DCLRE1B). Clonality testing for one of the patients showed evidence of evolving clonality of TCR-gene rearrangement. Both patients showed significantly decreased numbers of stem/progenitor cells by immunohistochemistry, which appears to be responsible for the development of mucosal atrophy. No such cases of unusual chronic atrophic gastritis in the setting of telomeropathy have been previously reported. The loss of stem/progenitor cells suggests that stem/progenitor cell exhaustion in the setting of telomere dysfunction is the likely mechanism for development of this unusual chronic atrophic gastritis. The results underscore the need for close monitoring of these gastric lesions, with special regard to their neoplastic potential. This combined WES-driven approach has promise to identify the cause and mechanism of other uncharacterized gastrointestinal inflammatory disorders.

Single-Step IGHV Next-Generation Sequencing Detects Clonality and Somatic Hypermutation in Lymphoid Malignancies: A Phase III Diagnostic Accuracy Study

BACKGROUND

Multiplex PCR based on consensus primers followed by capillary electrophoresis and Sanger sequencing are considered as the gold standard method for the evaluation of clonality and somatic hypermutation in lymphoid malignancies. As an alternative, the next-generation sequencing (NGS) of immune receptor genes has recently been proposed as a solution, due to being highly effective and sensitive. Here, we designed a phase III diagnostic accuracy study intended to compare the current gold standard methods versus the first commercially available NGS approaches for testing immunoglobulin heavy chain gene rearrangements.

METHODS

We assessed IGH rearrangements in 68 samples by means of both the NGS approach (LymphoTrack® IGH assay, and LymphoTrack® IGH somatic hypermutation assay, run on Illumina MiSeq) and capillary electrophoresis/Sanger sequencing to assess clonality and somatic hypermutations (SHM).

RESULTS

In comparison to the routine capillary-based analysis, the NGS clonality assay had an overall diagnostic accuracy of 96% (63/66 cases). Other studied criteria included sensitivity (95%), specificity (100%), positive predictive value (100%) and negative predictive value (75%). In discrepant cases, the NGS results were confirmed by a different set of primers that provided coverage of the IGH leader sequence. Furthermore, there was excellent agreement of the SHM determination with both the LymphoTrack® FR1 and leader assays when compared to the Sanger sequencing analysis (84%), with NGS able to assess the SHM rate even in cases where the conventional approach failed.

CONCLUSION

Overall, conventional Sanger sequencing and next-generation-sequencing-based clonality and somatic hypermutation analyses gave comparable results. For future use in a routine diagnostic workflow, NGS-based approaches should be evaluated prospectively and an analysis of cost-effectiveness should be performed.

Optimizing Molecular Minimal Residual Disease Analysis in Adult Acute Lymphoblastic Leukemia

Minimal/measurable residual disease (MRD) evaluation has resulted in a fundamental instrument to guide patient management in acute lymphoblastic leukemia (ALL). From a methodological standpoint, MRD is defined as any approach aimed at detecting and possibly quantifying residual neoplastic cells beyond the sensitivity level of cytomorphology. The molecular methods to study MRD in ALL are polymerase chain reaction (PCR) amplification-based approaches and are the most standardized techniques. However, there are some limitations, and emerging technologies, such as digital droplet PCR (ddPCR) and next-generation sequencing (NGS), seem to have advantages that could improve MRD analysis in ALL patients. Furthermore, other blood components, namely cell-free DNA (cfDNA), appear promising and are also being investigated for their potential role in monitoring tumor burden and response to treatment in hematologic malignancies. Based on the review of the literature and on our own data, we hereby discuss how emerging molecular technologies are helping to refine the molecular monitoring of MRD in ALL and may help to overcome some of the limitations of standard approaches, providing a benefit for the care of patients.

[The expressional characteristics and diagnostic values of TRBC1 in mature T-cell lymphoma]

Objective: To investigate the expression characteristics of TRBC1 protein in mature T-cell lymphoma (TCL) , and compare with T-cell receptor (TCR) -Vβ repertoire analysis and TCR gene rearrangement results, to explore the value of TRBC1 in the diagnosis of TCL. Methods: The expression of TRBC1 was detected by multi-parameter flow cytometry in 30 cases of TCL, 40 cases of normal controls and 50 cases of patients without T lymphocyte proliferative diseases (non-TCL) admitted to the Department of Hematology, The First Affiliated Hospital of Nanjing Medical University. The diagnostic value of TCRVβ repertoire analysis, TCR gene rearrangement and TRBC1 restricted expression detection in TCL was evaluated. Results: The positive rates of CD4(+)T and CD8(+)T cell subsets TRBC1 in normal control group were (39.6±6.5) % and (39.3±4.4) %. The positive rates of CD4(+)T and CD8(+)T cell subsets TRBC1 in non-TCL were (39.1±3.8) % and (36.0±8.4) %. All 30 cases of TCL were CD3(+)TCRγδ(-), and the positive rate of TRBC1 was >92.3% or <12.7%. All cases showed restrictive expression pattern (monoclonal expression) , which was significantly different from those of the normal control and the non-TCL cases (P<0.001) . In terms of the diagnostic performance of T cell clonality, the sensitivity of TRBC1 was 100%, the positive detection rate of TCR gene rearrangement was 92.8%, and the sensitivity of TCRVβ detection was 94.1%. Kappa test showed high consistency among the three detective methods. Conclusion: Multi-parameter flow cytometry detection of TRBC1 expression level can quickly and efficiently diagnose mature T-cell lymphoma, which has good clinical application value.

LymphoTrack Is Equally Sensitive as PCR GeneScan and Sanger Sequencing for Detection of Clonal Rearrangements in ALL Patients

Monoclonal rearrangements of immunoglobulin (Ig) genes and T-cell receptor (TCR) genes are used for minimal measurable disease in acute lymphoblastic leukemia (ALL). The golden standard for screening of gene rearrangements in ALL has been PCR GeneScan and Sanger sequencing, which are laborsome and time-consuming methods. More rapid next-generation sequencing methods, such as LymphoTrack could possibly replace PCR GeneScan and Sanger sequencing for clonality assessment. Our aim was to evaluate to what extent LymphoTrack can replace PCR GeneScan and Sanger sequencing concerning sensitivity and quantifiability in clonality assessment in 78 ALL samples. With LymphoTrack, clonality assessment was based on the %Total reads, where ≥10% was used as cut off for clonal rearrangements. The patients displayed 0 to 4 clonal rearrangements per assay. The detection rate (rearrangements detected with PCR GeneScan and/or Sanger sequencing, also detected with LymphoTrack) was 85/85 (100%) for IGH, 64/67 (96%) for IGK, 91/93 (98%) for TCRG and 34/35 (97%) for TCRB. Our findings demonstrate that LymphoTrack was equally sensitive in detecting clonal rearrangements as PCR GeneScan and Sanger Sequencing. The LymphoTrack assay is reliable and therefore applicable for clonal assessment in ALL patients in clinical laboratories.

Adaptive Immune Receptor Repertoire (AIRR) Community Guide to TR and IG Gene Annotation

High-throughput sequencing of adaptive immune receptor repertoires (AIRR, i.e., IG and TR) has revolutionized the ability to carry out large-scale experiments to study the adaptive immune response. Since the method was first introduced in 2009, AIRR sequencing (AIRR-Seq) has been applied to survey the immune state of individuals, identify antigen-specific or immune-state-associated signatures of immune responses, study the development of the antibody immune response, and guide the development of vaccines and antibody therapies. Recent advancements in the technology include sequencing at the single-cell level and in parallel with gene expression, which allows the introduction of multi-omics approaches to understand in detail the adaptive immune response. Analyzing AIRR-seq data can prove challenging even with high-quality sequencing, in part due to the many steps involved and the need to parameterize each step. In this chapter, we outline key factors to consider when preprocessing raw AIRR-Seq data and annotating the genetic origins of the rearranged receptors. We also highlight a number of common difficulties with common AIRR-seq data processing and provide strategies to address them.

Utility of Bulk T-Cell Receptor Repertoire Sequencing Analysis in Understanding Immune Responses to COVID-19

Measuring immunity to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of coronavirus disease 19 (COVID-19), can rely on antibodies, reactive T cells and other factors, with T-cell-mediated responses appearing to have greater sensitivity and longevity. Because each T cell carries an essentially unique nucleic acid sequence for its T-cell receptor (TCR), we can interrogate sequence data derived from DNA or RNA to assess aspects of the immune response. This review deals with the utility of bulk, rather than single-cell, sequencing of TCR repertoires, considering the importance of study design, in terms of cohort selection, laboratory methods and analysis. The advances in understanding SARS-CoV-2 immunity that have resulted from bulk TCR repertoire sequencing are also be discussed. The complexity of sequencing data obtained by bulk repertoire sequencing makes analysis challenging, but simple descriptive analyses, clonal analysis, searches for specific sequences associated with immune responses to SARS-CoV-2, motif-based analyses, and machine learning approaches have all been applied. TCR repertoire sequencing has demonstrated early expansion followed by contraction of SARS-CoV-2-specific clonotypes, during active infection. Maintenance of TCR repertoire diversity, including the maintenance of diversity of anti-SARS-CoV-2 response, predicts a favourable outcome. TCR repertoire narrowing in severe COVID-19 is most likely a consequence of COVID-19-associated lymphopenia. It has been possible to follow clonotypic sequences longitudinally, which has been particularly valuable for clonotypes known to be associated with SARS-CoV-2 peptide/MHC tetramer binding or with SARS-CoV-2 peptide-induced cytokine responses. Closely related clonotypes to these previously identified sequences have been shown to respond with similar kinetics during infection. A possible superantigen-like effect of the SARS-CoV-2 spike protein has been identified, by means of observing V-segment skewing in patients with severe COVID-19, together with structural modelling. Such a superantigen-like activity, which is apparently absent from other coronaviruses, may be the basis of multisystem inflammatory syndrome and cytokine storms in COVID-19. Bulk TCR repertoire sequencing has proven to be a useful and cost-effective approach to understanding interactions between SARS-CoV-2 and the human host, with the potential to inform the design of therapeutics and vaccines, as well as to provide invaluable pathogenetic and epidemiological insights.

Deep Sequencing of Immunoglobulin Genes Identifies a Very Low Percentage of Monoclonal B Cells in Primary Cutaneous Marginal Zone Lymphomas with CD30-Positive Hodgkin/Reed–Sternberg-like Cells

The spectrum of cutaneous CD30-positive lymphoproliferative disorders encompasses both inflammatory and neoplastic conditions. CD30+ Hodgkin and Reed–Sternberg-like cells have been occasionally reported in primary cutaneous marginal zone lymphoma, where they are thought to represent a side neoplastic component within a dominant background of lymphomatous small B cells. Herein, we describe the histological and molecular findings of three cases of primary cutaneous marginal zone lymphomas with CD30+ H/RS cells, in which next-generation sequencing analysis revealed the clonal population to consist in less than 5% of the cutaneous B-cell infiltrate, providing a thought-provoking focus on a possible main role for CD30+ cells in primary cutaneous marginal zone lymphoproliferations.

CloneRetriever: An Automated Algorithm to Identify Clonal B and T Cell Gene Rearrangements by Next-Generation Sequencing for the Diagnosis of Lymphoid Malignancies

BACKGROUND

Clonal immunoglobulin and T-cell receptor rearrangements serve as tumor-specific markers that have become mainstays of the diagnosis and monitoring of lymphoid malignancy. Next-generation sequencing (NGS) techniques targeting these loci have been successfully applied to lymphoblastic leukemia and multiple myeloma for minimal residual disease detection. However, adoption of NGS for primary diagnosis remains limited.

METHODS

We addressed the bioinformatics challenges associated with immune cell sequencing and clone detection by designing a novel web tool, CloneRetriever (CR), which uses machine-learning principles to generate clone classification schemes that are customizable, and can be applied to large datasets. CR has 2 applications-a "validation" mode to derive a clonality classifier, and a "live" mode to screen for clones by applying a validated and/or customized classifier. In this study, CR-generated multiple classifiers using 2 datasets comprising 106 annotated patient samples. A custom classifier was then applied to 36 unannotated samples.

RESULTS

The optimal classifier for clonality required clonal dominance ≥4.5× above background, read representation ≥8% of all reads, and technical replicate agreement. Depending on the dataset and analysis step, the optimal algorithm yielded sensitivities of 81%-90%, specificities of 97%-100%, areas under the curve of 91%-94%, positive predictive values of 92-100%, and negative predictive values of 88%-98%. Customization of the algorithms yielded 95%-100% concordance with gold-standard clonality determination, including rescue of indeterminate samples. Application to a set of unknowns showed concordance rates of 83%-96%.

CONCLUSIONS

CR is an out-of-the-box ready and user-friendly software designed to identify clonal rearrangements in large NGS datasets for the diagnosis of lymphoid malignancies.

[Next generation sequencing in histopathology : Applications and methodological challenges]

The enormous increase in sequencing capacity due to the development of next generation sequencing technologies opens up new opportunities in the fields of histopathology, research, and diagnostics, but also poses huge challenges.The identification of genomic aberrations (point mutations, small insertions and deletions, fusion transcripts, and tumor mutation burden (TMB)) have already become a reliable part of routine molecular diagnostics. This will be supplemented by additional applications, namely gene amplifications, microsatellite instability, genomic signatures like homologous recombination deficiency (HRD), mRNA expression patterns, B‑ and T‑cell clonality, and DNA methylation. Challenges in preanalytics and the evaluation of assay sensitivity and specificity as well as proper curation of identified aberrations, which requires a new type of specialist, are presented and discussed.

A Cautionary Tale: Florid Splenic γδ T-cell Proliferation and False-Positive T-cell Clonality by PCR Leads to a Grave Misdiagnosis

The discrimination of benign from malignant lymphoproliferative disorders is sometimes difficult because there can be overlap in their histological and immunophenotypic features. In such situations, molecularly based clonality testing is often used to discriminate benign (polyclonal) from malignant (monoclonal) processes. Clonality testing by polymerase chain reaction (PCR) has a number of pitfalls that may result in spurious results. Here we report the case of a woman diagnosed by 2 major academic institutions with hepatosplenic T-cell lymphoma based on a dense infiltration of the spleen by a γδ T-cell population with mild cytologic atypia, resulting in expansion of the splenic red pulp, and a positive T-cell receptor clonality test by PCR. There was likewise mild involvement of the liver and bone marrow by the "atypical" T-cell population. Close attention to her uncharacteristically well clinical appearance led to repeat T-cell receptor clonality testing using next-generation sequencing. Definitive demonstration of polyclonality by this test showed that she in fact did not have hepatosplenic T-cell lymphoma but rather a reactive condition, and allogeneic stem cell transplantation could be safely avoided. As molecular clonality testing is widely used in the practice of hematology, this case brings attention to the pitfalls of clonality testing by PCR that practitioners may encounter. It is therefore a cautionary tale highlighting the need for critical interpretation of test results in full clinical context.