From the genesis to the present: The evolution of sublingual immunotherapy for cedar pollinosis.

In 2004, we started the initial attempt to evaluate the efficacy of SLIT for Japanese cedar pollinosis (JCP) using Japanese cedar (JC) pollen extract solution through a multicenter, placebo-controlled, double-blind comparative study. Based on its success in demonstrating the substantial efficacy of SLIT, we next conducted a larger-scale study by administering JC pollen to all JCP patients recruited. It was because of aiming to ascertain the effectiveness and safety of SLIT and its underlying mechanisms by comparing high- and non-responder patients. Despite limitations posed by liquid medication, significant effectiveness and safety demonstrated by the 2-year treatment served as the foundation for launching the first SLIT medicine for JCP, in 2014. Furthermore, in addition to the clearer Th1/Th2-imbalanced property in the high-responders, the possible involvement of bitter taste receptors in CD4+ T cells, apoptosis pathways in CD4+ T cells and basophils, and inducing a mast cell degranulation inhibitory molecule in the effect of SLIT was demonstrated. To solve the limitations posed by liquid medication, clinical trials evaluating JC pollen sublingual tablets started in 2014. Due to the minimal side effects, ease of administration, and convenient storage, the sublingual tablet medicine was launched in 2018. Giving the ongoing rise in demand for SLIT and considering that more than 1% of JCP patients are currently undergoing SLIT, the practical use of this treatment for multiple allergens is becoming increasingly important.

Response prediction in patients with gastric and esophagogastric adenocarcinoma under neoadjuvant chemotherapy using targeted gene expression analysis and next-generation sequencing in pre-therapeutic biopsies.

OBJECTIVES: Perioperative chemo-(radio-) therapy is the accepted standard in European patients with locally advanced adenocarcinoma of the esophagogastric junction or stomach (AEG/AS). However, 30-85% of patients do not respond to this treatment. The aim of our study was the identification of predictive biomarkers in pre-therapeutic endoscopic tumor biopsies from patients with histopathologic response (Becker-1) versus non-response (Becker-2/3) to preoperative chemotherapy. METHODS: Formalin-fixed paraffin-embedded biopsies from 36 Caucasian patients (Becker-1 n = 11, Becker-2 n = 7, Becker-3 n = 18) with AEG/AS, taken prior to neoadjuvant chemotherapy were selected. For RNA expression analysis, we employed the NanoString nCounter System. To identify genomic alterations like single nucleotide variants (SNV), copy number variation (CNV) and fusion events, we used Illumina TST170 gene panel. For HER2 and FGFR2 protein expression, immunostaining was performed. Furthermore, we analyzed the microsatellite instability (MSI) and Epstein-Barr virus (EBV) infection status by EBER in situ hybridization. RESULTS: Heat map and principal component analyses showed no clustering by means of gene expression according to regression grade. Concerning two recently proposed predictive markers, our data showed equal distribution for MSI (Becker-1: 2; Becker-2: 1; Becker-3: 3; out of 29 tested) and EBV infection was rare (1/32). We could not reveal discriminating target genes concerning SNV, but found a higher mutational burden in non-responders versus responders and fusion (in 6/14) and CNV events (in 5/14) exclusively in Becker-3. CONCLUSIONS: Although we could not identify discriminating target genes, our data suggest that molecular alterations are in general more prevalent in patients with AEG/AS belonging to the non-responding Becker group 3.

Copy number variation of the CCDC39 gene is associated with growth traits in Chinese cattle.

BACKGROUND: Copy number variation (CNV) has become an essential part of genetic structural variation. Coiled-coil domain containing 39 (CCDC39) is a gene that related to the growth and development of organs and tissues. It is identified that it has a CNV region by animal genome resequencing. OBJECTIVE: In this study, we detected the phenotypic traits and different distributions of CCDC39 gene copy numbers in five Chinese cattle breeds (Qinchuan (QC) cattle, Yunling (YL) cattle, Xianan (XN) cattle, Pinan (PN) cattle and Jiaxian (JX) cattle). METHODS: Five hundred and six cattle were randomly selected for CNV distribution detection. Blood samples were taken and genomic DNA was extracted. Different tissues were obtained from adult (n = 3) XN cattle, including heart, liver, kidney, skeletal muscle and lung. The genome qPCR experiment was performed with SYBR Green in triplicate. CDNA qPCR was used to detect the expression level of CCDC39 in different tissues and varieties. Using SPSS v20.0 software, the relationship between CCDC39 CNV and the growth traits of PN, XN, QC, NY and YL cattle breeds was analyzed by one-way analysis of variance (ANOVA). RESULTS: The results showed that the expression of CCDC39 in lung was higher than that in other tissues. The expression in liver and kidney was similar, but the expression in heart and muscle was less. It can be seen that the duplication type of QC cattle CCDC39 CNV is higher than the deletion or normal in the height at hip cross. The normal type of PN cattle in body length and hip width was better than duplication and deletion (p < 0.05). In XN cattle, the deletion type of CNV had superior growth characteristics in heart girth and cannon bone circumference compared with the duplication type and the normal type (p < 0.05). CONCLUSION: The study revealed a significant association between CNV of CCDC39 gene and growth traits in different Chinese cattle breeds.

Integrated Genomic Profiling and Drug Screening of Patient-Derived Cultures Identifies Individualized Copy Number-Dependent Susceptibilities Involving PI3K Pathway and 17q Genes in Neuroblastoma.

Neuroblastoma is the commonest extracranial pediatric malignancy. With few recurrent single nucleotide variations (SNVs), mutation-based precision oncology approaches have limited utility, but its frequent and heterogenous copy number variations (CNVs) could represent genomic dependencies that may be exploited for personalized therapy. Patient-derived cell culture (PDC) models can facilitate rapid testing of multiple agents to determine such individualized drug-responses. Thus, to study the relationship between individual genomic aberrations and therapeutic susceptibilities, we integrated comprehensive genomic profiling of neuroblastoma tumors with drug screening of corresponding PDCs against 418 targeted inhibitors. We quantified the strength of association between copy number and cytotoxicity, and validated significantly correlated gene-drug pairs in public data and using machine learning models. Somatic mutations were infrequent (3.1 per case), but copy number losses in 1p (31%) and 11q (38%), and gains in 17q (69%) were prevalent. Critically, in-vitro cytotoxicity significantly correlated only with CNVs, but not SNVs. Among 1278 significantly correlated gene-drug pairs, copy number of GNA13 and DNA damage response genes CBL, DNMT3A, and PPM1D were most significantly correlated with cytotoxicity; the drugs most commonly associated with these genes were PI3K/mTOR inhibitor PIK-75, and CDK inhibitors P276-00, SNS-032, AT7519, flavopiridol and dinaciclib. Predictive Markov random field models constructed from CNVs alone recapitulated the true z-score-weighted associations, with the strongest gene-drug functional interactions in subnetworks involving PI3K and JAK-STAT pathways. Together, our data defined individualized dose-dependent relationships between copy number gains of PI3K and STAT family genes particularly on 17q and susceptibility to PI3K and cell cycle agents in neuroblastoma. Integration of genomic profiling and drug screening of patient-derived models of neuroblastoma can quantitatively define copy number-dependent sensitivities to targeted inhibitors, which can guide personalized therapy for such mutationally quiet cancers.

Polyploid mitosis and depolyploidization promote chromosomal instability and tumor progression in a Notch-induced tumor model.

Ploidy variation is a cancer hallmark and is frequently associated with poor prognosis in high-grade cancers. Using a Drosophila solid-tumor model where oncogenic Notch drives tumorigenesis in a transition-zone microenvironment in the salivary gland imaginal ring, we find that the tumor-initiating cells normally undergo endoreplication to become polyploid. Upregulation of Notch signaling, however, induces these polyploid transition-zone cells to re-enter mitosis and undergo tumorigenesis. Growth and progression of the transition-zone tumor are fueled by a combination of polyploid mitosis, endoreplication, and depolyploidization. Both polyploid mitosis and depolyploidization are error prone, resulting in chromosomal copy-number variation and polyaneuploidy. Comparative RNA-seq and epistasis analysis reveal that the DNA-damage response genes, also active during meiosis, are upregulated in these tumors and are required for the ploidy-reduction division. Together, these findings suggest that polyploidy and associated cell-cycle variants are critical for increased tumor-cell heterogeneity and genome instability during cancer progression.

Array-Based Comparative Genomic Hybridization Analysis in Children with Developmental Delay/Intellectual Disability.

Developmental delay (DD) is a condition wherein developmental milestones and learning skills do not occur at the expected age range for patients under 5 years of age. Intellectual disability (ID) is characterized by limited or insufficient development of mental abilities, including intellectual functioning impairments, such as learning and cause-effect relationships. Isolated and syndromic DD/ID cases show extreme genetic heterogeneity. Array-based comparative genomic hybridization aCGH) can detect copy number variations (CNVs) on the whole genome at higher resolution than conventional cytogenetic methods. The diagnostic yield of aCGH was 15.0-20.0% in DD/ID cases. The aim of this study was to discuss the clinical findings and aCGH analysis results of isolated and syndromic DD/ID cases in the context of genotype-phenotype correlation. The study included 139 cases (77 females, 62 males). Data analysis revealed 38 different CNVs in 35 cases. In this study, 19 cases with pathogenic CNVs (13.6%) and five cases with likely pathogenic CNVs (3.5%) were found in a total of 139 cases diagnosed with DD/ID. When all pathogenic and likely pathogenic cases were evaluated, the diagnosis rate was 17.1%. The use of aCGH analysis as a first-tier test in DD/ID cases contributes significantly to the diagnosis rates and enables the detection of rare microdeletion/microduplication syndromes. The clear determination of genetic etiology contributes to the literature in terms of genotype-phenotype correlation.

A study of normal copy number variations in Israeli population.

The population of Israel is ethnically diverse, and individuals from different ethnic groups share specific genetic variations. These variations, which have been passed on from common ancestors, are usually reported in public databases as rare variants. Here, we aimed to identify ethnicity-based benign copy number variants (CNVs) and generate the first Israeli CNV database. We applied a data-mining approach to the results of 10,193 chromosomal microarray tests, of which 2150 tests were from individuals of 13 common ethnic backgrounds (n ≥ 10). We found 165 CNV regions (> 50 kbp) that are unique to specific ethnic groups (uCNVRs). The frequency of more than 19% of these uCNVRs is between 1 and 20% of the common ethnic origin, while their frequency in the overall cohort is between 0.5 and 1.6%. Of these 165 uCNVRs, 98 are reported as variants of unknown significance or as not available in dbVar; we postulate that these uCNVRs should be annotated as either "likely benign" or "benign". The ethnic-specific CNVs extracted in this study will allow geneticists to distinguish between relevant pathogenic genomic aberrations and benign ethnicity-related variations, thus preventing variant misinterpretation that may lead to unnecessary pregnancy terminations.

Whole-exome sequencing identifies prognostic mutational signatures in gastric cancer.

BACKGROUND: Gastric cancer (GC) is a heterogeneous disease, and is a leading cause of cancer deaths in Eastern Asia. Genomic analysis, such as whole-exome sequencing (WES), can help identify key genetic alterations leading to the malignancy and diversity of GC, and may help identify new drug targets. METHODS: We identified genomic alterations in a cohort of 38 GC patients, including 26 metastatic and 12 non-metastatic patients. We analyzed the association between novel gene mutations and copy number variations (CNVs) with tumor metastasis and patient survival. RESULTS: A number of significantly mutated genes in somatic and germline cells were identified. Among them, ATAD3B somatic mutation, a potential biomarker of immunotherapy in stomach cancers, was associated with better patient survival (P=0.0939) and metastasis (P=0.074). POLE germline variation was correlated with shorter overall survival (OS; P=0.0100). Novel CNVs were also identified and can potentially be used as biomarkers. These included 9p24.1 deletion (P=0.0376) and 16p11.2 amplification (P=0.0066), which were both associated with shorter OS. CNVs of several genes including MMP9, PTPN1, and SS18L1 were found to be significantly related to metastasis (P<0.05). CONCLUSIONS: We characterized the mutational landscape of 38 GC patients and discovered several potential new predictive markers of survival and metastasis in GC.

Rare osteosarcoma cell subpopulation protein array and profiling using imaging mass cytometry and bioinformatics analysis.

BACKGROUND: Single rare cell characterization represents a new scientific front in personalized therapy. Imaging mass cytometry (IMC) may be able to address all these questions by combining the power of MS-CyTOF and microscopy. METHODS: We have investigated this IMC method using < 100 to up to 1000 cells from human sarcoma tumor cell lines by incorporating bioinformatics-based t-Distributed Stochastic Neighbor Embedding (t-SNE) analysis of highly multiplexed IMC imaging data. We tested this process on osteosarcoma cell lines TC71, OHS as well as osteosarcoma patient-derived xenograft (PDX) cell lines M31, M36, and M60. We also validated our analysis using sarcoma patient-derived CTCs. RESULTS: We successfully identified heterogeneity within individual tumor cell lines, the same PDX cells, and the CTCs from the same patient by detecting multiple protein targets and protein localization. Overall, these data reveal that our t-SNE-based approach can not only identify rare cells within the same cell line or cell population, but also discriminate amongst varied groups to detect similarities and differences. CONCLUSIONS: This method helps us make greater inroads towards generating patient-specific CTC fingerprinting that could provide an accurate tumor status from a minimally-invasive liquid biopsy.

Identification of somatic copy number variations in plasma cell free DNA correlating with intrinsic resistances to EGFR targeted therapy in T790M negative non-small cell lung cancer.

BACKGROUND: About 20-30% EGFR-mutant non-small lung cancer show intrinsic resistance to EGFR targeted therapies. Compared to T790M positive in acquired resistance patients, little is known about EGFR-TKI intrinsic resistance for T790M negative patients. METHODS: Thirty-one patients with advanced stage lung cancer, including 18 patients with intrinsic resistance (PFS <6 months) and 13 patients with acquired resistance (PFS >36 months) but are negative for plasma T790M were recruited in the study. Plasma cell free DNA was profiled by low coverage whole genome sequencing with median genome coverage of 1.86X by Illumina X10. Sequencing coverage across chromosomes was summarized by samtools, and normalized by segmentation analysis as provided by R package 'DNACopy'. RESULTS: The most frequent chromosomal changes were found on chr7, chr1 and chr8. Among them, chr7p gains were found in 12 (66.7%) intrinsic resistance and 4 (30.7%) acquired resistance patients. The gene EGFR was found located on the focal amplification peak of chr7p. The performance of 7p gain to predict intrinsic resistance reaches AUC =0.902. Similarly, focal amplifications were also found on chromosome 5, 16 and 22, where tumor related gene PCDHA@, ADAMTS18 and CRKL were located. Focal deletions were also found in chr1, 8, 10 and 16, where genes SFTPA1/2, DLC1, PTEN and CDH1 are located. CONCLUSIONS: The results suggest cell free DNA copy number might be a useful peripheral blood tumor biomarker for predicting intrinsic resistance of EGFR targeted therapy and prognosis.