In vivo modelling of cutaneous T-cell lymphoma: The role of SOCS1.

Introduction: Mycosis fungoides (MF), the most common type of Cutaneous T cell Lymphoma (CTCL), is characterized by an inflamed skin intermixed with proliferating malignant mature skin-homing CD4+ T cells. Detailed genomic analyses of MF skin biopsies revealed several candidate genes possibly involved in genesis of these tumors and/or potential targets for therapy. These studies showed, in addition to common loss of cell cycle regulator CDKN2A, activation of several oncogenic pathways, most prominently and consistently involving JAK/STAT signaling. SOCS1, an endogenous inhibitor of the JAK/STAT signaling pathway, was identified as a recurrently deleted gene in MF, already occurring in the earliest stages of the disease. Methods: To explore the mechanisms of MF, we create in vivo mouse models of autochthonous CTCLs and these genetically engineered mouse models (GEMMS) can also serve as valid experimental models for targeted therapy. We describe the impact of allelic deletion of Socs1 in CD4 T cells of the skin. To achieve this, we crossed inducible Cre-transgenic mice in the CD4 lineage with transgenic mice carrying floxed genes of Socs1. We first determined optimal conditions for Socs1 ablation with limited effects on circulating CD4 T-cells in blood. Next, we started time-course experiments mimicking sustained inflammation, typical in CTCL. FACS analysis of the blood was done every week. Skin biopsies were analyzed by immunocytochemical staining at the end of the experiment. Results: We found that the Socs1 knockout transgenic group had thicker epidermis of treated skin compared with the control group and had more CD3 and CD4 in the skin of the transgenic group compared to the control group. We also noted more activation of Stat3 by staining for P-Stat3 in Socs1 knockout compared to wt CD4+T cells in the skin. The results also indicated that single copy loss of Socs1 in combination with sustained inflammation is insufficient to start a phenotype resembling early stage mycosis fungoides within eight weeks in these mice. Conclusion: In sum, we developed and optimized an autochthonous murine model permitting selective knockout of Socs1 in skin infiltrating CD4 T-cells. This paves the way for more elaborate experiments to gain insight in the oncogenesis of CTCL.

Generic Multiplex Digital PCR for Accurate Quantification of T Cells in Copy Number Stable and Unstable DNA Samples.

An accurate T cell quantification is prognostically and therapeutically relevant in various clinical applications, including oncology care and research. In this chapter, we describe how T cell quantifications can be obtained from bulk DNA samples with a multiplex digital PCR experiment. The experimental setup includes the concurrent quantification of three different DNA targets within one reaction: a unique T cell DNA marker, a regional corrector, and a reference DNA marker. The T cell marker is biallelically absent in T cells due to VDJ rearrangements, while the reference is diploid in all cells. The so-called regional corrector allows to correct for possible copy number alterations at the T cell marker locus in cancer cells. By mathematically integrating the measurements of all three markers, T cells can be accurately quantified in both copy number stable and unstable DNA samples.

A novel digital PCR-based method to quantify (switched) B cells reveals the extent of allelic involvement in different recombination processes in the IGH locus.

B cells fulfill an important role in the adaptive immunity. Upon activation and immunoglobulin (IG) class switching, these cells function in the humoral immunity compartment as plasma cells. For clinical applications, it can be important to quantify (switched) B cells accurately in a variety of body fluids and tissues of benign, inflammatory and malignant origin. For decades, flow cytometry and immunohistochemistry (IHC) have been the preferred methods for quantification. Although these methods are widely used, both depend on the accessibility of B cell epitopes and therefore require intact (fixed) cells. Whenever samples are low in quantity and/or quality, accurate quantification can be difficult. By shifting the focus from epitopes to DNA markers, quantification of B cells remains achievable. During differentiation and maturation, B cells are subjected to programmed genetic recombination processes like VDJ rearrangements and class switch recombination (CSR), which result in deletion of specific sequences of the IGH locus. These cell type-specific DNA "scars" (loss of sequences) in IG genes can be exploited as B cell markers in digital PCR (dPCR) based quantification methods. Here, we describe a novel, specific and sensitive digital PCR-based method to quantify mature and switched B cells in DNA specimens of benign and (copy number unstable) malignant origin. We compared this novel way of B cell quantitation with flow cytometric and immunohistochemical methods. Through cross-validation with flow cytometric sorted B cell subpopulations, we gained quantitative insights into allelic involvement in different recombination processes in the IGH locus. Our newly developed method is accurate and independent of the cellular context, offering new possibilities for quantification, even for (limited) small samples like liquid biopsies.

Accurate Quantification of T Cells in Copy Number Stable and Unstable DNA Samples Using Multiplex Digital PCR.

An accurate T-cell quantification is prognostically and therapeutically relevant in various malignancies. We previously developed a digital PCR-based approach offering a precise T-cell enumeration in small amounts of DNA. However, it may be challenging to apply this method in malignant specimens, as genetic instability can disturb the underlying mathematical model. For example, approximately 24% of the tumors from The Cancer Genome Atlas pan-cancer data set carried a copy number alteration affecting the TRB gene T-cell marker, which would cause an underestimation or overestimation of the T-cell fraction. In this study, we introduce a multiplex digital PCR experimental setup to quantify T cells in copy number unstable DNA samples. By implementing a so-called regional corrector, genetic alterations involving the T-cell marker locus can be recognized and corrected for. This novel setup is evaluated mathematically in silico and validated in vitro by measuring T-cell presence in various samples with a known T-cell fraction. The utility of the approach is further demonstrated in copy number altered cutaneous melanomas. Our novel multiplex setup provides a simple, but accurate, DNA-based T-cell quantification in both copy number stable and unstable specimens. This approach has potential clinical and diagnostic applications, as it does not depend on availability of T-cell epitopes, has low requirements for sample quantity and quality, and can be performed in a relatively easy experiment.

Improved Sézary cell detection and novel insights into immunophenotypic and molecular heterogeneity in Sézary syndrome.

Sézary syndrome (SS) is an aggressive leukemic form of cutaneous T-cell lymphoma with neoplastic CD4+ T cells present in skin, lymph nodes, and blood. Despite advances in therapy, prognosis remains poor, with a 5-year overall survival of 30%. The immunophenotype of Sézary cells is diverse, which hampers efficient diagnosis, sensitive disease monitoring, and accurate assessment of treatment response. Comprehensive immunophenotypic profiling of Sézary cells with an in-depth analysis of maturation and functional subsets has not been performed thus far. We immunophenotypically profiled 24 patients with SS using standardized and sensitive EuroFlow-based multiparameter flow cytometry. We accurately identified and quantified Sézary cells in blood and performed an in-depth assessment of their phenotypic characteristics in comparison with their normal counterparts in the blood CD4+ T-cell compartment. We observed inter- and intrapatient heterogeneity and phenotypic changes over time. Sézary cells exhibited phenotypes corresponding with classical and nonclassical T helper subsets with different maturation phenotypes. We combined multiparameter flow cytometry analyses with fluorescence-activated cell sorting and performed RNA sequencing studies on purified subsets of malignant Sézary cells and normal CD4+ T cells of the same patients. We confirmed pure monoclonality in Sézary subsets, compared transcriptomes of phenotypically distinct Sézary subsets, and identified novel downregulated genes, most remarkably THEMIS and LAIR1, which discriminate Sézary cells from normal residual CD4+ T cells. Together, these findings further unravel the heterogeneity of Sézary cell subpopulations within and between patients. These new data will support improved blood staging and more accurate disease monitoring.

Acquired N-Linked Glycosylation Motifs in B-Cell Receptors of Primary Cutaneous B-Cell Lymphoma and the Normal B-Cell Repertoire.

Primary cutaneous follicle center lymphoma (PCFCL) is a rare mature B-cell lymphoma with an unknown etiology. PCFCL resembles follicular lymphoma (FL) by cytomorphologic and microarchitectural criteria. FL B cells are selected for N-linked glycosylation motifs in their B-cell receptors (BCRs) that are acquired during continuous somatic hypermutation. The stimulation of mannosylated BCR by lectins on the tumor microenvironment is therefore a candidate driver in FL pathogenesis. We investigated whether the same mechanism could play a role in PCFCL pathogenesis. Full-length functional variable, diversity, and joining gene sequences of 18 PCFCL and 8 primary cutaneous diffuse large B-cell lymphoma, leg-type were identified by unbiased Anchoring Reverse Transcription of Immunoglobulin Sequences and Amplification by Nested PCR and BCR reconstruction from RNA sequencing data. Low BCR variation demonstrated negligible ongoing somatic hypermutation in PCFCL and primary cutaneous diffuse large B-cell lymphoma, leg-type, and indicated that the PCFCL microarchitecture does not act as a functional germinal center. Similar to FL but in contrast to primary cutaneous diffuse large B-cell lymphoma, leg-type, BCR genes of 15 PCFCLs (83%) had acquired N-linked glycosylation motifs. These motifs were located at the BCR positions converted to N-linked glycosylation motifs in normal B-cell repertoires with low prevalence but mostly at different positions than those found in FL. The cutaneous localization of PCFCL might suggest a role for lectins from commensal skin bacteria in PCFCL lymphomagenesis.

Loss of the GPI-anchor in B-lymphoblastic leukemia by epigenetic downregulation of PIGH expression.

Adult B-lymphoblastic leukemia (B-ALL) is a hematological malignancy characterized by genetic heterogeneity. Despite successful remission induction with classical chemotherapeutics and novel targeted agents, enduring remission is often hampered by disease relapse due to outgrowth of a pre-existing subclone resistant against the treatment. In this study, we show that small glycophosphatidylinositol (GPI)-anchor deficient CD52-negative B-cell populations are frequently present already at diagnosis in B-ALL patients, but not in patients suffering from other B-cell malignancies. We demonstrate that the GPI-anchor negative phenotype results from loss of mRNA expression of the PIGH gene, which is involved in the first step of GPI-anchor synthesis. Loss of PIGH mRNA expression within these B-ALL cells follows epigenetic silencing rather than gene mutation or deletion. The coinciding loss of CD52 membrane expression may contribute to the development of resistance to alemtuzumab (ALM) treatment in B-ALL patients resulting in the outgrowth of CD52-negative escape variants. Additional treatment with 5-aza-2'-deoxycytidine may restore expression of CD52 and revert ALM resistance.

Usage of Droplet Digital PCR (ddPCR) Assays for T Cell Quantification in Cancer.

T cells fulfill a central role in cell-mediated immunity and can be found in the circulation and lymphoid organs upon maturation. For clinical applications, it can be important to quantify (infiltrated) T cells accurately in a variety of body fluids and tissues of benign, inflammatory, or malignant origin. For decades, flow cytometry and immunohistochemistry have been the accustomed methods to quantify T cells. Although these methods are widely used, they depend on the accessibility of T-cell epitopes and therefore require fresh, frozen, or fixated material of a certain quality. Whenever samples are low in quantity or quality, an accurate quantification can be impeded. By shifting the focus from epitopes to DNA, quantification of T cells remains achievable.Mature T cells differ genetically from other cell types as a result of T-cell receptor (TCR) gene rearrangements. This genetic dissimilarity can be exploited to quantify the T-cell fraction in DNA specimens. Conventionally, multiplex PCR and droplet digital PCR (ddPCR), combined with deep-sequencing techniques, can be applied to determine T-cell content. However, these approaches typically target the whole TCR repertoire, thereby supplying additional information about TCR use. Considering this, a simple T-cell quantification, unwantedly, turns into a complex, expensive, and time-consuming procedure. We have developed two generic single duplex ddPCR assays as alternative methods to quantify T cells in a relatively simple, cheap, and fast manner by targeting sequences located between the Dδ2 and Dδ3 genes (TRD locus) and Dß1 and Jß1.1 genes (TRB locus). These specific TCR loci become deleted systematically early during lymphoid differentiation and therefore will serve as biomarkers for the quantification of mature T cells. Here, we describe a simple and sensitive ddPCR-based method to quantify T cells relatively fast, accurately and independently of the cellular context.

Digital PCR-Based T-cell Quantification-Assisted Deconvolution of the Microenvironment Reveals that Activated Macrophages Drive Tumor Inflammation in Uveal Melanoma.

Uveal melanoma progression can be predicted by gene expression profiles enabling a clear subdivision between tumors with a good (class I) and a poor (class II) prognosis. Poor prognosis uveal melanoma can be subdivided by expression of immune-related genes; however, it is unclear whether this subclassification is justified; therefore, T cells in uveal melanoma specimens were quantified using a digital PCR approach. Absolute T-cell quantification revealed that T-cell influx is present in all uveal melanomas associated with a poor prognosis. However, this infiltrate is only accompanied by differential immune-related gene expression profiles in uveal melanoma with the highest T-cell infiltrate. Molecular deconvolution of the immune profile revealed that a large proportion of the T-cell-related gene expression signature does not originate from lymphocytes but is derived from other immune cells, especially macrophages. Expression of the lymphocyte-homing chemokine CXCL10 by activated macrophages correlated with T-cell infiltration and thereby explains the correlation of T-cell numbers and macrophages. This was validated by in situ analysis of CXCL10 in uveal melanoma tissue with high T-cell counts. Surprisingly, CXCL10 or any of the other genes in the activated macrophage-cluster was correlated with reduced survival due to uveal melanoma metastasis. This effect was independent of the T-cell infiltrate, which reveals a role for activated macrophages in metastasis formation independent of their role in tumor inflammation. IMPLICATIONS: The current report uses an innovative digital PCR method to study the immune environment and demonstrates that absolute T-cell quantification and expression profiles can dissect disparate immune components.

RNA-seq analysis of Lgr6+ stem cells and identification of an Lgr6 isoform.

We studied Lgr6+ stem cells in experimental UV carcinogenesis in hairless mice. For further characterization through RNA-seq, these stem cells were isolated by FACS from transgenic hairless mice bearing an EGFP-Ires-CreERT2 reporter cassette inserted into exon 1 of the Lgr6 gene (purity confirmed by human ERT2 expression). Between Lgr6/EGFP+ and Lgr6/EGFP- basal cells (Tg/wt), 682 RNAs were differentially expressed, indicating stemness and expression of cancer-related pathways in Lgr6/EGFP+ cells. We discovered that suspected "Lgr6 null" mice (Tg/Tg) expressed RNA of an Lgr6 isoform (delta-Lgr6, lacking 74 N-terminal aa) which could be functional and explain the lack of a phenotype.

Genetic rearrangements result in altered gene expression and novel fusion transcripts in Sézary syndrome.

Sézary syndrome (SS) is an aggressive, leukemic cutaneous T-cell lymphoma variant. Molecular pathogenesis of SS is still unclear despite many studies on genetic alterations, gene expression and epigenetic regulations. Through whole genome and transcriptome next generation sequencing nine Sézary syndrome patients were analyzed in terms of copy number variations and rearrangements affecting gene expression. Recurrent copy number variations were detected within 8q (MYC, TOX), 17p (TP53, NCOR1), 10q (PTEN, FAS), 2p (DNMT3A), 11q (USP28), 9p (CAAP1), but no recurrent rearrangements were identified. However, expression of five genes involved in rearrangements (TMEM244, EHD1, MTMR2, RNF123 and TOX) was altered in all patients. Fifteen rearrangements detected in Sézary syndrome patients and SeAx resulted in an expression of new fusion transcripts, nine of them were in frame (EHD1-CAPN12, TMEM66-BAIAP2, MBD4-PTPRC, PTPRC-CPN2, MYB-MBNL1, TFG-GPR128, MAP4K3-FIGLA, DCP1A-CCL27, MBNL1-KIAA2018) and five resulted in ectopic expression of fragments of genes not expressed in normal T-cells (BAIAP2, CPN2, GPR128, CAPN12, FIGLA). Our results not only underscored the genomic complexity of the Sézary cancer cell genome but also showed an unpreceded large variety of novel gene rearrangements resulting in fusions transcripts and ectopically expressed genes.

Accurate Quantification of T Cells by Measuring Loss of Germline T-Cell Receptor Loci with Generic Single Duplex Droplet Digital PCR Assays.

Quantifying T cells accurately in a variety of tissues of benign, inflammatory, or malignant origin can be of great importance in a variety of clinical applications. Flow cytometry and immunohistochemistry are considered to be gold-standard methods for T-cell quantification. However, these methods require fresh, frozen, or fixated cells and tissue of a certain quality. In addition, conventional and droplet digital PCR (ddPCR), whether followed by deep sequencing techniques, have been used to elucidate T-cell content by focusing on rearranged T-cell receptor (TCR) genes. These approaches typically target the whole TCR repertoire, thereby supplying additional information about TCR use. We alternatively developed and validated two novel generic single duplex ddPCR assays to quantify T cells accurately by measuring loss of specific germline TCR loci and compared them with flow cytometry-based quantification. These assays target sequences between the Dδ2 and Dδ3 genes (TRD locus) and Dß1 and Jß1.1 genes (TRB locus) that become deleted systematically early during lymphoid differentiation. Because these ddPCR assays require small amounts of DNA instead of freshly isolated, frozen, or fixated material, initially unanalyzable (scarce) specimens can be assayed from now on, supplying valuable information about T-cell content. Our ddPCR method provides a novel and sensitive way for quantifying T cells relatively fast, accurate, and independent of the cellular context.

Epigenomic Analysis of Sézary Syndrome Defines Patterns of Aberrant DNA Methylation and Identifies Diagnostic Markers.

Sézary syndrome (Sz) is a malignancy of skin-homing CD4(+) memory T cells that is clinically characterized by erythroderma, lymphadenopathy, and blood involvement. Distinction of Sz from erythroderma secondary to inflammatory skin diseases (erythrodermic inflammatory dermatosis [EID]) is often challenging. Recent studies identified recurrent mutations in epigenetic enzymes involved in DNA modification in Sz. Here we defined the DNA methylomes of purified CD4(+) T cells from patients with Sz, EID, and healthy control subjects. Sz showed extensive global DNA methylation alterations, with 7.8% of 473,921 interrogated autosomal CpG sites showing hypomethylation and 3.2% hypermethylation. Promoter CpG islands were markedly enriched for hypermethylation. The 126 genes with recurrent promoter hypermethylation in Sz included multiple candidate tumor suppressors that showed transcriptional repression, implicating aberrant methylation in the pathogenesis of Sz. Validation in an independent sample set showed promoter hypermethylation of CMTM2, C2orf40, G0S2, HSPB6, PROM1, and PAM in 94-100% of Sz samples but not in EID samples. Notably, promoter hypermethylation of a single gene, the chemokine-like factor CMTM2, was sufficient to accurately distinguish Sz from EID in all cases. This study shows that Sz is characterized by widespread yet distinct DNA methylation alterations, which can be used clinically as epigenetic diagnostic markers.

Evaluation of Immunophenotypic and Molecular Biomarkers for Sézary Syndrome Using Standard Operating Procedures: A Multicenter Study of 59 Patients.

Differentiation between Sézary syndrome and erythrodermic inflammatory dermatoses can be challenging, and a number of studies have attempted to identify characteristic immunophenotypic changes and molecular biomarkers in Sézary cells that could be useful as additional diagnostic criteria. In this European multicenter study, the sensitivity and specificity of these immunophenotypic and recently proposed but unconfirmed molecular biomarkers in Sézary syndrome were investigated. Peripheral blood CD4(+) T cells from 59 patients with Sézary syndrome and 19 patients with erythrodermic inflammatory dermatoses were analyzed for cell surface proteins by flow cytometry and for copy number alterations and differential gene expression using custom-made quantitative PCR plates. Experiments were performed in duplicate in two independent centers using standard operating procedures with almost identical results. Sézary cells showed MYC gain (40%) and MNT loss (66%); up-regulation of DNM3 (75%), TWIST1 (69%), EPHA4 (66%), and PLS3 (66%); and down-regulation of STAT4 (91%). Loss of CD26 (≥80% CD4(+) T cells) and/or CD7 (≥40% CD4(+) T cells) and combination of altered expression of STAT4, TWIST1, and DNM3 or PLS3 could distinguish, respectively, 83% and 98% of patients with Sézary syndrome from patients with erythrodermic inflammatory dermatoses with 100% specificity. These additional diagnostic panels will be useful adjuncts in the differential diagnosis of Sézary syndrome versus erythrodermic inflammatory dermatoses.

EPHA4 is overexpressed but not functionally active in Sézary syndrome.

EPHA4 belongs to the largest subfamily of receptor tyrosine kinases. In addition to its function during development, overexpression of EPHA4 in tumors has been correlated with increased proliferation, migration and poor survival. Several genome-wide transcription profiling studies have demonstrated high EPHA4 expression in Sézary syndrome (SS), a leukemic variant of cutaneous CD4+ T-cell lymphoma (CTCL) with an aggressive clinical course and poor prognosis. In this study we set out to explore the functional role of EPHA4 in SS. Both high EPHA4 mRNA and protein expression was found in circulating SS-cells of patients compared to healthy CD4+ T-cells. However, using a phosphospecific EPHA4 antibody, phosphorylation of the EPHA4 kinase domain was not detected in either circulating or skin residing SS cells. Moreover, treatment with the phosphatase inhibitor pervanadate did not result in detectable phosphorylation of the EPHA4 kinase domain, in either SS cells or in healthy CD4+ T-cells. Thus, the results from our study confirm high EPHA4 expression in SS cells both on the mRNA and protein levels, making EPHA4 a good diagnostic marker. However, the overexpressed EPHA4 does not appear to be functionally active and its overexpression might be secondary to other oncogenic drivers in SS, like STAT3 and TWIST1.