Dysregulation of Regulatory T Cells and Autoimmune Sequelae in DRESS: Insights From Flow Cytometry and NanoString Analysis.

Drug reactions with eosinophilia and systemic symptoms (DRESS) and Stevens-Johnson syndrome/toxic epidermal necrolysis (SJS/TEN) are severe cutaneous adverse hypersensitivity reactions with distinct clinical manifestations. Regulatory T (Treg) cells may behave differently in these syndromes, contributing to their diverse clinical features and outcomes. This study compared Treg dynamics between DRESS and SJS/TEN patients during the acute and recovery phases. Flow cytometry quantitatively analysed and defined the immunophenotype of CD4+CD25+CD127-FoxP3+ Tregs in blood from DRESS and SJS/TEN patients indicated that Treg percentages were lowest in DRESS patients during the acute phase compared to those in the recovery phase in DRESS patients and the acute phase in SJS/TEN patients. During the acute phase, CTLA-4 expression in Tregs in both DRESS patients with and without autoimmune sequelae was significantly increased, while only DRESS patients without autoimmune sequelae had elevated OX40 expression compared to the healthy controls. High IL-10 expression in Tregs during the acute phase in SJS/TEN patients was also observed. The suppressive function of Tregs was lower in DRESS compared to SJS/TEN, which was determined using a suppression assay by co-culturing autologous Treg and effector T cells. Furthermore, NanoString technology explored mRNA profiles in Tregs. Genes associated with the JAK/STAT pathway were found to be downregulated during the acute phase in DRESS patients who later developed autoimmune sequelae. Our findings evidenced impaired Treg function in DRESS compared to SJS/TEN. The early disturbance of the JAK/STAT pathway may serve as a prognostic marker for autoimmune development in DRESS patients.

Identification of inflammatory biomarkers in IgA nephropathy using the NanoString technology: a validation study in Caucasians.

OBJECTIVE AND DESIGN: Immunoglobulin A nephropathy (IgAN) is a kidney disease characterized by the accumulation of IgA deposits in the glomeruli of the kidney, leading to inflammation and damage to the kidney. The inflammatory markers involved in IgAN remain to be defined. Gene expression analysis platforms, such as the NanoString nCounter system, are promising screening and diagnostic tools, especially in oncology. Still, their role as a diagnostic and prognostic tool in IgAN remains scarce. In this study, we aimed to validate the use of NanoString technology to identify potential inflammatory biomarkers involved in the progression of IgAN. SUBJECTS: A total of 30 patients with biopsy-proven IgAN and 7 cases of antineutrophil cytoplasmic antibody (ANCA)-associated pauci-immune glomerulonephritis were included for gene expression measurement. For the immunofluorescence validation experiments, a total of 6 IgAN patients and 3 controls were included. METHODS: Total RNA was extracted from formalin-fixed paraffin-embedded kidney biopsy specimens, and a customized 48-plex human gene CodeSet was used to study 29 genes implicated in different biological pathways. Comparisons in gene expression were made between IgAN and ANCA-associated pauci-immune glomerulonephritis patients to delineate an expression profile specific to IgAN. Gene expression was compared between patients with low and moderate risk of progression. Genes for which RNA expression was associated with disease progression were analyzed for protein expression by immunofluorescence and compared with controls. RESULTS: IgAN patients had a distinct gene expression profile with decreased expression in genes IL-6, INFG, and C1QB compared to ANCA patients. C3 and TNFRSF1B were identified as potential biomarkers for IgAN progression in patients early in their disease course. Protein expression for those 2 candidate genes was upregulated in IgAN patients compared to controls. Expression of genes implicated in fibrosis (PTEN, CASPASE 3, TGM2, TGFB1, IL2, and TNFRSF1B) was more pronounced in IgAN patients with severe fibrosis compared to those with none. CONCLUSIONS: Our findings validate our NanoString mRNA profiling by examining protein expression levels of two candidate genes, C3 and TNFRSF1B, in IgAN patients and controls. We also identified several upregulated mRNA transcripts implicated in the development of fibrosis that may be considered fibrotic markers within IgAN patients.

Identification of common and specific fibrosis-related genes in three common chronic kidney diseases.

BACKGROUND: Kidney fibrosis is the common final pathway of virtually all advanced forms of chronic kidney disease (CKD) including diabetic nephropathy (DN), IgA nephropathy (IgAN) and membranous nephropathy (MN), with complex mechanism. Comparative gene expression analysis among these types of CKD may shed light on its pathogenesis. Therefore, we conducted this study aiming at exploring the common and specific fibrosis-related genes involved in different types of CKD. METHODS: Kidney biopsy specimens from patients with different types of CKD and normal control subjects were analyzed using the NanoString nCounter® Human Fibrosis V2 Panel. Genes differentially expressed in all fibrotic DN, IgAN and MN tissues compared to the normal controls were regarded as the common fibrosis-related genes in CKD, whereas genes exclusively differentially expressed in fibrotic DN, IgAN or MN samples were considered to be the specific genes related to fibrosis in DN, IgAN and MN respectively. Quantitative real-time PCR (qRT-PCR) was performed to validate the expression of the selected genes. RESULTS: Protein tyrosine phosphatase receptor type C (PTPRC), intercellular cell adhesion molecule-1 (ICAM1), vascular cell adhesion molecule-1 (VCAM1), interleukin 10 receptor alpha (IL10RA) and CC chemokine receptor 2 (CCR2) were identified as the potential common genes for kidney fibrosis in different types of CKD, while peroxisome proliferator-activated receptor alpha (PPARA), lactate oxidase (LOX), secreted phosphoprotein 1 (SPP1) were identified as the specific fibrosis-associated genes for DN, IgAN and MN respectively. qRT-PCR demonstrated that the expression levels of these selected genes were consistent with the NanoString analysis. CONCLUSIONS: There were both commonalities and differences in the mechanisms of fibrosis in different types of CKD, the commonalities might be used as the common therapeutic targets for kidney fibrosis in CKD, while the differences might be used as the diagnostic markers for DN, IgAN and MN respectively. Inflammation was highly relevant to the pathogenesis of fibrosis. This study provides further insight into the pathophysiology and treatment of fibrotic kidney disease.

Gene expression signature as a surrogate marker of microvascular invasion on routine hepatocellular carcinoma biopsies.

BACKGROUND & AIMS: Microvascular invasion (MVI), a major risk factor for tumor recurrence after surgery in hepatocellular carcinoma (HCC), is only detectable by microscopic examination of the surgical specimen. We aimed to define a transcriptomic signature associated with MVI in HCC than can be applied to formalin-fixed paraffin-embedded (FFPE) biopsies for use in clinical practice. METHODS: To identify a gene expression signature related to MVI by using NanoString technology, we selected a set of 200 genes according to the literature and RNA-sequencing data obtained from a cohort of 150 frozen HCC samples previously published. We used 178 FFPE-archived HCC samples, including 109 surgical samples for the training set and 69 paired pre-operative biopsies for the validation set. In 14 cases of the training set, a paired biopsy was available and was also analyzed. RESULTS: We identified a 6-gene signature (ROS1, UGT2B7, FAS, ANGPTL7, GMNN, MKI67) strongly associated with MVI in the training set of FFPE surgical HCC samples, with 82% accuracy (sensitivity 82%, specificity 81%, AUC 0.82). The NanoString gene expression was highly correlated in 14 paired surgical/biopsy HCC samples (mean R: 0.97). In the validation set of 69 FFPE HCC biopsies, the 6-gene NanoString signature predicted MVI with 74% accuracy (sensitivity 73%, specificity 76%, AUC 0.74). Moreover, on multivariate analysis, the MVI signature was associated with overall survival in both sets (hazard ratio 2.29; 95% CI 1.03-5.07; p = 0.041). CONCLUSION: We defined a 6-gene signature that can accurately predict MVI in FFPE HCC biopsy samples, which is also associated with overall survival, although its survival impact must be confirmed by extensive study with further clinical data. LAY SUMMARY: Microvascular invasion, a major risk factor for tumor recurrence after surgery in hepatocellular carcinoma, is only detectable by microscopic examination of a surgical specimen. In this study, we defined a relevant surrogate signature of microvascular invasion in hepatocellular carcinoma that may be applied in clinical practice with routine tumor biopsy and integrated into the therapeutic strategy.

Blocking the Increase of Intracellular Deuterium Concentration Prevents the Expression of Cancer-Related Genes, Tumor Development, and Tumor Recurrence in Cancer Patients.

The possible role of the naturally occurring deuterium in the regulation of cell division was first described in the 1990s. To investigate the mechanism of influence of deuterium (D) on cell growth, expression of 236 cancer-related and 536 kinase genes were tested in deuterium-depleted (40 and 80 ppm) and deuterium-enriched (300 ppm) media compared to natural D level (150 ppm). Among genes with expression changes exceeding 30% and copy numbers over 30 (124 and 135 genes, respectively) 97.3% of them was upregulated at 300 ppm D-concentration. In mice exposed to chemical carcinogen, one-year survival data showed that deuterium-depleted water (DDW) with 30 ppm D as drinking water prevented tumor development. One quarter of the treated male mice survived 344 days, the females 334 days, while one quarter of the control mice survived only 188 and 156 days, respectively. In our human retrospective study 204 previously treated cancer patients with disease in remission, who consumed DDW, were followed. Cumulative follow-up time was 1024 years, and average follow-up time per patient, 5 years (median: 3.6 years). One hundred and fifty-six patients out of 204 (77.9%) did not relapse during their 803 years cumulative follow-up time. Median survival time (MST) was not calculable due to the extremely low death rate (11 cancer-related deaths, 5.4% of the study population). Importantly, 8 out of 11 deaths occurred several years after stopping DDW consumption, confirming that regular consumption of DDW can prevent recurrence of cancer. These findings point to the likely mechanism in which consumption of DDW keeps D-concentration below natural levels, preventing the D/H ratio from increasing to the threshold required for cell division. This in turn can serve as a key to reduce the relapse rate of cancer patients and/or to reduce cancer incidence in healthy populations.

Prognostic role of PD-L1 and immune-related gene expression profiles in giant cell tumors of bone.

Giant cell tumor of bone (GCTB) is a locally aggressive and rarely metastatic tumor, with a relatively unpredictable clinical course. A retrospective series of 46 GCTB and a control group of 24 aneurysmal bone cysts (ABC) were selected with the aim of investigating the PD-L1 expression levels and immune-related gene expression profile, in correlation with clinicopathological features. PD-L1 and Ki67 were immunohistochemically tested in each case. Furthermore, comprehensive molecular analyses were carried out using NanoString technology and nCounter PanCancer Immune Profiling Panel, and the gene expression results were correlated with clinicopathological characteristics. PD-L1 expression was observed in 13/46 (28.3%) GCTB (and in 1/24, 4.2%, control ABC, only) and associated with a shorter disease free interval according to univariate analysis. Moreover, in PD-L1-positive lesions, three genes (CD27, CD6 and IL10) were significantly upregulated (p < 0.01), while two were downregulated (LCK and TLR8, showing borderline significance, p = 0.06). Interestingly, these genes can be related to maturation and immune tolerance of bone tissue microenvironment, suggesting a more immature/anergic phenotype of giant cell tumors. Our findings suggest that PD-L1 immunoreactivity may help to select GCTB patients with a higher risk of recurrence who could potentially benefit from immune checkpoint blockade.

Comparison of protein expression between formalin-fixed core-cut biopsies and surgical excision specimens using a novel multiplex approach.

PURPOSE: We evaluated whether multiplex protein quantification using antibody bar-coding with photocleavable oligonucleotides (NanoString) can be applied to evaluate protein expression in breast cancer FFPE specimens. We also assessed whether diagnostic core-cuts fixed immediately at time of procedures and surgical excision sections from routinely fixed breast cancers are affected by the same fixation related differences noted using immunohistochemistry (IHC). METHODS: The expression of 26 proteins was analysed using NanoString technology in 16 pairs of FFPE breast cancer core-cuts and surgical excisions. The measurements yielded were compared with those by IHC on Ki67, PgR and HER2 biomarkers and pAKT and pERK1/2 phosphorylated proteins. RESULTS: When considered irrespective of sample type, expression measured by the two methods was strongly correlated for all markers (p < 0.001; ρ = 0.69-0.88). When core-cuts and excisions were evaluated separately, the correlations between NanoString and IHC were weaker but significant except for pAKT in excisions. Surgical excisions showed lower levels of 8/12 phosphoproteins and higher levels of 4/13 non-phosphorylated proteins in comparison to core-cuts (p < 0.01). Reduced p4EBP1, pAMPKa, pRPS6 and pRAF1 immunogenicity in excisions was correlated with tumour size and mastectomy specimens showed lower p4EBP1 and pRPS6 expression than lumpectomy (p < 0.05). CONCLUSIONS: Our study supports the validity of the new multiplex approach to protein analysis but indicates that, as with IHC, caution is necessary for the analysis in excisions particularly of phosphoproteins. The specimen type, tumour size and surgery type may lead to biases in the quantitative analysis of many proteins of biologic and clinical interest in excision specimens.

Targeted transcriptomic analysis of pancreatic adenocarcinoma in EUS-FNA samples by NanoString technology.

Background: Integration of transcriptomic testing into EUS-FNA samples is a growing need for precision oncology in pancreatic ductal adenocarcinoma (PDAC). The NanoString platform is suitable for transcriptome profiling in low yield RNA samples. Methods: Inclusion of patients that underwent EUS-FNA cytological diagnosis of pancreatic ductal adenocarcinoma using 19G and/or 22G needles and subsequent surgical resection. Formalin-fixed, paraffin-embedded (FFPE) cytological and surgical samples underwent RNA extraction and transcriptomic analysis using a custom 52-gene NanoString panel of stromal PDAC features. Cell type abundance was quantified in FFPE specimens and correlated. Results: 18 PDAC patients were included. Mean EUS-FNA passes was 2 + 0.7. All FFPE passed the RNA quality control for genomic analysis. Hierarchical clustering on the global gene expression data showed that genes were differentially expressed between EUS and surgical samples. A more enriched cancer-associated fibroblasts and epithelial-mesenchymal transition transcriptomic profile was observed across surgical specimens whereas immunological biomarkers were more represented in EUS-FNA samples. Cytological examination confirmed a scanty representation of CAF and more immunological cell abundance in cytological samples in comparison to surgical specimens. Conclusion: Targeted transcriptomic NanoString profiling of PDAC samples obtained by EUS-FNA is a feasible approach for pre-surgical molecular analysis although stromal CAF/EMT mRNA biomarkers are underrepresented.

Genome-Wide Identification and Validation of Gene Expression Biomarkers in the Diagnosis of Ovarian Serous Cystadenocarcinoma.

Ovarian cancer is the second most prevalent gynecologic malignancy, and ovarian serous cystadenocarcinoma (OSCA) is the most common and lethal subtype of ovarian cancer. Current screening methods have strong limits on early detection, and the majority of OSCA patients relapse. In this work, we developed and cross-validated a method for detecting gene expression biomarkers able to discriminate OSCA tissues from healthy ovarian tissues and other cancer types with high accuracy. A preliminary ranking-based approach was applied, resulting in a panel of 41 over-expressed genes in OSCA. The RNA quantity gene expression of the 41 selected genes was then cross-validated by using NanoString nCounter technology. Moreover, we showed that the RNA quantity of eight genes (ADGRG1, EPCAM, ESRP1, MAL2, MYH14, PRSS8, ST14 and WFDC2) discriminates each OSCA sample from each healthy sample in our data set with sensitivity of 100% and specificity of 100%. For the other three genes (MUC16, PAX8 and SOX17) in combination, their RNA quantity may distinguish OSCA from other 29 tumor types.

Deep exploration of immune function in EGFR wild-type and mutated lung adenocarcinomas by gene expression profiling: role of TRAIL-R2 (TNFRSF10B) in patient treatment and outcome.

The tumor microenvironment is important in the initiation and progression of lung adenocarcinoma (LUAD). In this study, we aim to analyze the expression profile of immune-related genes in LUADs, examine the differential expression of immune-related genes in epidermal growth factor receptor (EGFR) wild-type and mutant LUADs, and the clinicopathologic significance of these differentially expressed genes. We used the NanoString PanCancer Immune Profiling Panel to examine 34 cases of LUADs (18 EGFR wild-type, 16 EGFR mutant). In EGFR wild-type LUADs, the macrophage and neutrophil signatures are significantly higher, and significantly higher expression of chemokines, interleukins, leukocyte, macrophage, natural killer cell, pathogen defense, Tumor necrosis factor superfamily, and transporter function signatures are also observed. TNFRSF10B mRNA was preferentially expressed in EGFR wild-type LUADs (P = 6.15e-6, adjusted P = .0244). Immunohistochemical staining for TRAIL-R2 (encoded by TNFRSF10B) on 134 tissue microarray LUAD cases demonstrated strong, moderate, and weak staining in 75 (56.0%), 46 (34.3%), and 13 (9.7%) cases, respectively. Strong TRAIL-R2 expression was significantly associated with poor overall survival (OS) in all stages and EGFR wild-type LUADs, but not in EGFR-mutant tumors. Furthermore, strong TRAIL-R2 expression (P = .004) was an independent risk factor for poor OS. In summary, TNFRSF10B mRNA revealed significantly higher expression in EGFR wild-type LUADs, and strong TRAIL-R2 expression predicts an unfavorable prognosis for these tumors. These patients may benefit from additional treatment with TRAIL-R2-targeted therapies.

Can immune markers help identify fast relapse in patients with muscle invasive bladder cancer?

The aim of this pilot study was to assess the role of immune markers in fast relapse (<2 years) of high-grade muscle invasive urothelial carcinomas of the bladder (HGUC) treated by cystectomy. A series of 40 such cases was investigated for immune protein (CD3, CD4, CD8, CD20, CD68, CD163, FOXP3 and PD-1) status by immunohistochemistry. Decreased expression of all immune cell markers was observed in tumors of patients who relapsed quickly. In Kaplan-Meier (log-rank test) analysis, low CD3, CD4 and CD8 expression was associated with fast relapse (P = 0.005, 0.028, 0.036 respectively). Additional evaluation of the immune transcriptome by NanoString Human PanCancer Immune Panel v.1.1 has identified 5 differentially expressed genes significantly associated with fast relapse. Among these, KLRB1 and HLA-DQA1 were also significant on Kaplan-Meier analysis (log-rank test P = 0.007 and 0.006, respectively). These findings strengthen the potential clinical utility and, hence, the need for further evaluation of immune markers in HGUC prognostication.

RNA isolation from Peyer's patch lymphocytes and mononuclear phagocytes to determine gene expression profiles using NanoString technology.

Sampling and immune surveillance within gut-associated lymphoid tissues such as the intestinal Peyer's patch (PP) occurs by an elegantly orchestrated effort that involves the epithelial barrier, B and T lymphocytes, and an extensive network of mononuclear phagocytes. Although we now understand more about the dynamics of antigen and microbial sampling within PPs, the gene expression changes that occur in individual cell subsets during sampling are not well characterized. This protocol describes the isolation of high-quality RNA from sorted PP, B and T-lymphocytes, and CD11c+ phagocytes for use with nCounter-NanoString technology. This method allows investigators to study gene expression changes within PPs in response to antigens, microbes, and oral vaccine delivery vehicles of interest that are sampled.

Molecular and Histopathological Characterization of the Tumor Immune Microenvironment in Advanced Stage of Malignant Pleural Mesothelioma.

INTRODUCTION: Malignant pleural mesothelioma (MPM) is a rare, highly aggressive, and relatively chemoresistant and radioresistant malignancy with limited therapeutic options. Our objective was to investigate the prevalence of programmed death ligand 1 (PD-L1) and the characteristics of the immune environment in this disease. METHODS: A total of 99 archival tumors from advanced-stage MPM were immunohistochemically tested in parallel for PD-L1 in two different laboratories, and 87 of them were profiled for immune gene expression by NanoString analysis for 800 genes. A prior study on the same samples indicated a low mutational load with a complex mutational landscape of genetic variations more frequently associated with the p53/DNA repair and phosphoinisitide-3-kinase pathways. RESULTS: PD-L1 expression was found in 16% of the MPM tumor samples, either in the tumor cells or the infiltrating immune cells. Gene expression analysis suggested that MPM is an inflamed tumor type and can be classified into three different subgroups on the basis of the different expression profiles of immune-related genes, of which two groups showed varying degrees of expression of immune-related genes. Overall, these molecular findings suggest that these subgroups of MPM associated with PD-L1 positivity and expression of immune-related genes accounting for 60% of MPMs represent a candidate subtype that may respond to cancer immunotherapy. CONCLUSIONS: These data suggest that 60% of patients with MPM characterized by either PD-L1 expression or an inflamed status are attractive candidates for cancer immunotherapeutic options.