Inactivation of the tight junction gene CLDN11 by aberrant hypermethylation modulates tubulins polymerization and promotes cell migration in nasopharyngeal carcinoma

BACKGROUND

Aberrant hypermethylation of cellular genes is a common phenomenon to inactivate genes and promote tumorigenesis in nasopharyngeal carcinoma (NPC).

METHODS

Methyl binding domain (MBD)-ChIP sequencing of NPC cells, microarray data of NPC biopsies and gene ontology analysis were conducted to identify a potential tumor suppressor gene CLDN11 that was both hypermethylated and downregulated in NPC. Bisulfite sequencing, qRT-PCR, immunohistochemistry staining of the NPC clinical samples and addition of methylation inhibitor, 5'azacytidine, in NPC cells were performed to verify the correlation between DNA hypermethylation and expression of CLDN11. Promoter reporter and EMSA assays were used to dissect the DNA region responsible for transcription activator binding and to confirm whether DNA methylation could affect activator's binding, respectively. CLDN11 was transiently overexpressed in NPC cells followed by cell proliferation, migration, invasion assays to characterize its biological roles. Co-immunoprecipitation experiments and proteomic approach were carried out to identify novel interacting protein(s) and the binding domain of CLDN11. Anti-tumor activity of the CLDN11 was elucidated by in vitro functional assay.

RESULTS

A tight junction gene, CLDN11, was identified as differentially hypermethylated gene in NPC. High methylation percentage of CLDN11 promoter in paired NPC clinical samples was correlated with low mRNA expression level. Immunohistochemistry staining of NPC paired samples tissue array demonstrated that CLDN11 protein expression was relatively low in NPC tumors. Transcription activator GATA1 bound to CLDN11 promoter region - 62 to - 53 and its DNA binding activity was inhibited by DNA methylation. Re-expression of CLDN11 reduced cell migration and invasion abilities in NPC cells. By co-immunoprecipitation and liquid chromatography-tandem mass spectrometry LC-MS/MS, tubulin alpha-1b (TUBA1B) and beta-3 (TUBB3), were identified as the novel CLDN11-interacting proteins. CLDN11 interacted with these two tubulins through its intracellular loop and C-terminus. Furthermore, these domains were required for CLDN11-mediated cell migration inhibition. Treatment with a tubulin polymerization inhibitor, nocodazole, blocked NPC cell migration.

CONCLUSIONS

CLDN11 is a hypermethylated and downregulated gene in NPC. Through interacting with microtubules TUBA1B and TUBB3, CLDN11 blocks the polymerization of tubulins and cell migration activity. Thus, CLDN11 functions as a potential tumor suppressor gene and silencing of CLDN11 by DNA hypermethylation promotes NPC progression.

VAReporter: variant reporter for cancer research of massive parallel sequencing

Background

High throughput sequencing technologies have been an increasingly critical aspect of precision medicine owing to a better identification of disease targets, which contributes to improved health care cost and clinical outcomes. In particular, disease-oriented targeted enrichment sequencing is becoming a widely-accepted application for diagnostic purposes, which can interrogate known diagnostic variants as well as identify novel biomarkers from panels of entire human coding exome or disease-associated genes.

Results

We introduce a workflow named VAReporter to facilitate the management of variant assessment in disease-targeted sequencing, the identification of pathogenic variants, the interpretation of biological effects and the prioritization of clinically actionable targets. State-of-art algorithms that account for mutation phenotypes are used to rank the importance of mutated genes through visual analytic strategies. We established an extensive annotation source by integrating a wide variety of biomedical databases and followed the American College of Medical Genetics and Genomics (ACMG) guidelines for interpretation and reporting of sequence variations.

Conclusions

In summary, VAReporter is the first web server designed to provide a “one-stop” resource for individual’s diagnosis and large-scale cohort studies, and is freely available at http://rnd.cgu.edu.tw/vareporter.

The integrated analysis of transcriptome and proteome for exploring the biodegradation mechanism of 2, 4, 6-trinitrotoluene by Citrobacter sp

Citrobacter sp. has been shown to degrade 2,4,6-trinitrotoluene (TNT). However, the mechanism of its TNT biodegradation is poorly understood. An integrated proteome and transcriptome analysis was performed for investigating the differential genes and differential proteins in bacterial growth at the onset of experiments and after 12 h treatment with TNT. With the RNA sequencing, we found a total of 3792 transcripts and 569 differentially expressed genes (≥2 fold, P < 0.05) by. Genes for amino acid transport, cellular metabolism and stress-shock proteins were up-regulated, while carbohydrate transport and metabolism were down-regulated. A total of 42 protein spots (≥1.5 fold, P < 0.05) showed differential expression on two-dimensional gel electrophoresis and these proteins were identified by mass spectrometry. The most prominent proteins up-regulated were involved in energy production and conversion, amino acid transport and metabolism, posttranslational modification, protein turnover and chaperones. Proteins involved in carbohydrate transport and metabolism were down-regulated. Most notably, we observed that nemA encoding N-ethylmaleimide reductase was the most up-regulated gene involved in TNT degradation, and further proved that it can transform TNT to 4-amino-2,6-dinitrotoluene (4-ADNT) and 2-amino-4,6-dinitrotoluene (2-ADNT). This study highlights the molecular mechanisms of Citrobacter sp. for TNT removal.

Genetic Indicators of Drug Resistance in the Highly Repetitive Genome of Trichomonas vaginalis

Trichomonas vaginalis, the most common nonviral sexually transmitted parasite, causes ∼283 million trichomoniasis infections annually and is associated with pregnancy complications and increased risk of HIV-1 acquisition. The antimicrobial drug metronidazole is used for treatment, but in a fraction of clinical cases, the parasites can become resistant to this drug. We undertook sequencing of multiple clinical isolates and lab derived lines to identify genetic markers and mechanisms of metronidazole resistance. Reduced representation genome sequencing of ∼100 T. vaginalis clinical isolates identified 3,923 SNP markers and presence of a bipartite population structure. Linkage disequilibrium was found to decay rapidly, suggesting genome-wide recombination and the feasibility of genetic association studies in the parasite. We identified 72 SNPs associated with metronidazole resistance, and a comparison of SNPs within several lab-derived resistant lines revealed an overlap with the clinically resistant isolates. We identified SNPs in genes for which no function has yet been assigned, as well as in functionally-characterized genes relevant to drug resistance (e.g., pyruvate:ferredoxin oxidoreductase). Transcription profiles of resistant strains showed common changes in genes involved in drug activation (e.g., flavin reductase), accumulation (e.g., multidrug resistance pump), and detoxification (e.g., nitroreductase). Finally, we identified convergent genetic changes in lab-derived resistant lines of Tritrichomonas foetus, a distantly related species that causes venereal disease in cattle. Shared genetic changes within and between T. vaginalis and Tr. foetus parasites suggest conservation of the pathways through which adaptation has occurred. These findings extend our knowledge of drug resistance in the parasite, providing a panel of markers that can be used as a diagnostic tool.

[Comparison of the prognostic value of the seventh and eighth edition of The AJCC Esophageal Cancer Staging System for the patients with stage Ⅱ and Ⅲesophageal squamous cell carcinoma]

Objective: To compare and evaluate the prognostic value of the 7(th) and 8(th) edition of The AJCC Esophageal Cancer Staging System for patients with stage Ⅱ and Ⅲ esophageal squamous cell carcinoma. Methods: The clinical data of 328 esophageal cancer patients who received operation at Department of Esophageal Cancer, Tianjin Tumour Hospital from January 2006 to December 2010 were restrospectively analyzed. There were 63 female and 265 male patients. The mean age was 65 (range: 33 to 87) years. Univariate and multivariate analysis were performed to identify the prognosis factors. Results: The five years overall survival rates among patients with stage Ⅱ and Ⅲ were both significantly different (χ(2)=87.035, 84.730, all P=0.000) according to the 7(th) and 8(th) editions of the TNM staging systems. The five years overall survival rate among patients with stage ⅡB and ⅢA were significantly different (39.6% vs 23.4%, P=0.001) according to the 7(th) edition of the esophageal cancer staging systems.According to the 8(th) edition of the esophageal cancer staging system, the 5 years survival rate of patients with stage ⅡA and ⅡB, ⅢB and Ⅳ was statistically significant (58.5% vs. 35.5%, P=0.040; 18.9% vs. 0, P=0.000). In multivariate analysis, tumor size, T staging, N staging and tumor differentiation (HR=1.592, 95%CI: 1.185 to 2.139, P=0.002; HR=1.519, 95% CI: 1.236 to 1.867, P=0.000; HR=1.647, 95% CI: 1.448 to 1.874, P=0.000; HR=1.404, 95% CI: 1.059 to 1.861, P=0.018) were the main independent prognosis factors affecting the prognosis of esophageal squamous cell carcinoma patients. Conclusions: Both the 7(th) and the 8(th) editions of TNM staging systems are able to reflect the clinical prognosis of patients receiving radical resection of esophageal cancer, and the factors of tumor size, differentiaton, invasion depth and lymph node metastases are the independent predictors of prognosis. The 8(th) edition provides a more detailed and more reasonable for the staging of stage Ⅱ and Ⅲ for esophageal cancer patients than the 7(th) edition, and it is more accurate for the prognosis of patients with esophageal cancer after surgery.

Abstract P3-12-11: Disparities in adjuvant hormone adherence in breast cancer patients within a universal healthcare model

Background: Patient adherence to adjuvant hormonal therapy for breast cancer (BC) is correlated with improved survival. Recent publications have demonstrated ethnic disparities in adjuvant hormone adherence (AHA) for privatized healthcare models.

Objective: To identify disparities in AHA for BC patients within a universal healthcare system in Alberta, Canada.

Methods: Patients diagnosed from 2007-2014 with stage I-III, ER+/HER2- BC receiving adjuvant FECD or DC chemotherapy and at least one month of adjuvant hormonal therapy in Alberta, Canada were retrospectively assessed. Hormone monotherapy (tamoxifen, AI), switch strategies (tam to AI), and treatment duration were collected. Compliance was assessed with central pharmacy data. Patient ethnicity was identified using patient first/last and parental last name via Onolytics® ethnographic software. Ethnicity was further verified using a centrally collected place of birth. Age, AJCC stage, psychiatric diagnoses (mood, bipolar), and comorbidity were collected. Log rank and Chi squared were used to assess difference between adjuvant hormonal therapy for variables at 1, 2, and 5 years. Log rank p-values at 2 years are reported.

Results: A total of 2,399 ER+ patients were included for analysis. AHA was non-significant for ethnicity (p=0.797), comorbidity (p=0.623), psychiatric disorders (p=0.145), or elderly cohorts (p= 0.814). AHA by stage was significant with stage III &gt; II &gt; I (p=0.004) having the highest compliance rates. AHA was highest for planned hormonal switch strategies (p=0.004) compared to monotherapy.

Hormone Adherence RatesCharacteristicsNo. of Patients% AdherenceEthnicity  Caucasian211891.6Asian15293.4Middle Eastern/African9593.7Hispanic2491.7Age  &lt;65207791.8&gt;6534192.1Comorbidity  096191.21-3134392.2&gt;311493Psychiatric Dx  Yes31189.7No210792.1Stage  I45388.3II151292.1III45394.5Hormone Strategy  Monotherapy173190.9Switch68794.2

Conclusion: AHA is not dependent on ethnicity, age, comorbidity, or psychiatric diagnosis in a universal healthcare model. Conversely, higher rates of AHA are seen with planned switch strategy compared to monotherapy, contradictory to the BIG I-98 trial. Patients with higher stage, and thus higher risk of BC recurrence have increased adherence compared to their low risk counterparts. Reinforcement of AHA for low/moderate risk BC patients, in addition to tamoxifen to AI switch strategies may improve overall adherence.

Citation Format: Veitch ZW, Khan OF, Tilley D, Kostaras X, King K, Lupichuk S, Tang P. Disparities in adjuvant hormone adherence in breast cancer patients within a universal healthcare model [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P3-12-11.

Metabolic reprogramming of hydrogenosomal amino acids in Trichomonas vaginalis under glucose restriction

BACKGROUND

Glucose is the major energy source that is converted to pyruvate for ATP generation in the trichomonad hydrogenosome. Under glucose restriction (GR), the regulation of amino acids metabolism is crucial for trichomonad growth and survival. RNA-sequencing (RNA-seq) analysis has been used to identify differentially expressed genes in Trichomonas vaginalis under GR, leading to significant advances in understanding adaptive responses of amino acid metabolism to GR. However, the levels of amino acid metabolites modulated by GR are unknown in T. vaginalis.

METHODS

Herein, we describe a comprehensive metabolomic analysis of amino acid metabolites in the hydrogenosome using liquid chromatography Fourier transform ion cyclotron resonance mass spectrometry (LC-FT MS). The relative abundance of 17 hydrogenosomal amino acids was analyzed under GR and high-glucose (HG) conditions.

RESULTS

Levels of most amino acids were higher in GR culture. Arginine was not detectable in either HG or GR cultures; however, its metabolic end-product proline was slightly increased under GR, suggesting that the arginine dihydrolase pathway was more activated by GR. Additionally, methionine catabolism was less stimulated under GR because of greater methionine accumulation. Furthermore, branched chain amino acids (BCAA), including leucine, isoleucine and valine, as well as phenylalanine and alanine, markedly accumulated under GR, indicating that glutamate-related metabolic pathways were remarkably enhanced in this setting. Our metabolomic analysis combined with previous RNA-seq data confirm the existence of several amino acid metabolic pathways in the hydrogenosome and highlight their potentially important roles in T. vaginalis under glucose deprivation.

Responding to a Zoonotic Emergency with Multi-omics Research: Pentatrichomonas hominis Hydrogenosomal Protein Characterization with Use of RNA Sequencing and Proteomics

Pentatrichomonas hominis is an anaerobic flagellated protist that colonizes the large intestine of a number of mammals, including cats, dogs, nonhuman primates, and humans. The wide host range of this organism is alarming and suggests a rising zoonotic emergency. However, knowledge on in-depth biology of this protist is still limited. Similar to the human pathogen, Trichomonas vaginalis, P. hominis possesses hydrogenosomes instead of mitochondria. Studies in T. vaginalis indicated that hydrogenosome is essential for cell survival and associated with numerous pivotal biological functions, including drug resistance. To further decipher the biology of this important organelle, we undertook proteomic research in P. hominis hydrogenosomes. Lacking a decoded P. hominis genome, we utilized an RNA sequencing (RNA-seq) data set generated from P. hominis axenic culture as the reference for proteome analysis. Using this in-house reference data set and mass spectrometry (MS), we identified 442 putative hydrogenosomal proteins. Interestingly, the composition of the P. hominis hydrogenosomal proteins is very similar to that of T. vaginalis, but proteins such as Hmp36, Pam16, Pam18, and Isd11 are absent based on both MS and the RNA-seq. Our data underscore that P. hominis expresses different homologs of multiple gene families from T. vaginalis. To the best of our knowledge, we present here the first hydrogenosome proteome in a protist other than T. vaginalis that offers crucial new scholarship for global health, therapeutics, diagnostics, and veterinary medicine research. In addition, the research strategy used here using RNA sequencing and proteomics might inform future multi-omics research in other understudied organisms without decoded genomes.

γ-Carboxymuconolactone decarboxylase: a novel cell cycle-related basal body protein in the early branching eukaryote Trichomonas vaginalis

BACKGROUND

γ-Carboxymuconolactone decarboxylase (CMD) participates in the β-ketoadipate pathway, which catalyzes aromatic compounds to produce acetyl- or succinyl-CoA, in prokaryotes and yeast. Our previous study demonstrated that expression of a CMD homologue that contains two signatures (dualCMD) is negatively regulated by iron in Trichomonas vaginalis. However, we were not able to identify the components of the β-ketoadipate pathway in the parasite's genome. These observations prompted us to investigate the biological functions of this novel CMD homologue in T. vaginalis.

METHODS

The specific anti-TvCMD1 antibody was generated, and the expression of TvCMD1 in T. vaginalis cultured under iron-rich and iron-deficient were evaluated. Phylogenetic, metabolomic and substrate induction (protocatechuate and benzoate) analysis were conducted to clarify the function of dualCMD in trichomonad cells. Subcellular localization of TvCMD1 was observed by confocal microscopy. The cell cycle-related role of TvCMD1 was assessed by treating cells with G2/M inhibitor nocodazole.

RESULTS

We confirmed that T. vaginalis is not able to catabolize the aromatic compounds benzoate and protocatechuate, which are known substrates of the β-ketoadipate pathway. Using immunofluorescence microscopy, we found that TvCMD1 is spatially associated with the basal body, a part of the cytoskeletal organizing center in T. vaginalis. TvCMD1 accumulated upon treatment with the G2/M inhibitor nocodazole. Additionally, TvCMD1 was expressed and transported to/from the basal body during cytokinesis, suggesting that TvCMD1 plays a role in cell division.

CONCLUSION

We demonstrated that TvCMD1 is unlikely to participate in the β-ketoadipate pathway and demonstrated that it is a novel basal body-localizing (associated) protein. This model sheds light on the importance of genes that are acquired laterally in the coevolution of ancient protists, which surprisingly functions in cell cycle regulation of T. vaginalis.

APOBEC3A is an oral cancer prognostic biomarker in Taiwanese carriers of an APOBEC deletion polymorphism

Oral squamous cell carcinoma is a prominent cancer worldwide, particularly in Taiwan. By integrating omics analyses in 50 matched samples, we uncover in Taiwanese patients a predominant mutation signature associated with cytidine deaminase APOBEC, which correlates with the upregulation of APOBEC3A expression in the APOBEC3 gene cluster at 22q13. APOBEC3A expression is significantly higher in tumors carrying APOBEC3B-deletion allele(s). High-level APOBEC3A expression is associated with better overall survival, especially among patients carrying APOBEC3B-deletion alleles, as examined in a second cohort (n = 188; p = 0.004). The frequency of APOBEC3B-deletion alleles is ~50% in 143 genotyped oral squamous cell carcinoma -Taiwan samples (27A3B^−/−:89A3B^+/−:27A3B^+/+), compared to the 5.8% found in 314 OSCC-TCGA samples. We thus report a frequent APOBEC mutational profile, which relates to a APOBEC3B-deletion germline polymorphism in Taiwanese oral squamous cell carcinoma that impacts expression of APOBEC3A, and is shown to be of clinical prognostic relevance. Our finding might be recapitulated by genomic studies in other cancer types.

Oral squamous cell carcinoma is a prevalent malignancy in Taiwan. Here, the authors show that OSCC in Taiwanese show a frequent deletion polymorphism in the cytidine deaminases gene cluster APOBEC3 resulting in increased expression of A3A, which is shown to be of clinical prognostic relevance.

BNIP3 induces apoptosis and protective autophagy under hypoxia in esophageal squamous cell carcinoma cell lines: BNIP3 regulates cell death

Bcl-2/adenovirus E1B 19-kDa interacting protein (BNIP3), a pro-apoptosis protein regulated by the methylation status of its promoter, has been implicated in inducing autophagy. However, the roles of BNIP3 and BNIP3-induced autophagy under hypoxia remain uncertain in esophageal squamous cell carcinoma (ESCC). Two esophageal squamous cancer cell lines, CAES17 and KYSE140, were selected on the basis of the expression and methylation status of BNIP3 to investigate the features of BNIP3 under hypoxia. Hypoxia increased cell death and the expression of BNIP3, whose promoter status was lower methylation, in a time-dependent manner. BNIP3 knockdown by RNA interference downregulated cell death. These studies demonstrated that the exposure of ESCC cells to hypoxia increased the autophagic punctate distribution of MDC staining and GFP-LC3 and that autophagy rate could be inhibited by BNIP3-siRNA. In addition, under hypoxia, cells transfected with BNIP3-siRNA exhibited a lower apoptosis rate than the control, and the apoptosis induced by BNIP3 exhibited a caspase-independent manner. Furthermore, the administration of the autophagic inhibitor 3-methyladenine (3-MA) could augment BNIP3-induced cell apoptosis and death, suggesting that autophagy plays a protective role under hypoxia. Together, our studies indicated that BNIP3 exerts prodeath effects through the induction of caspase-independent apoptosis under hypoxia in ESCC, though BNIP3-induced autophagy acting as a survival mechanism.

ChloroMitoCU: Codon patterns across organelle genomes for functional genomics and evolutionary applications

Organelle genomes are widely thought to have arisen from reduction events involving cyanobacterial and archaeal genomes, in the case of chloroplasts, or α-proteobacterial genomes, in the case of mitochondria. Heterogeneity in base composition and codon preference has long been the subject of investigation of topics ranging from phylogenetic distortion to the design of overexpression cassettes for transgenic expression. From the overexpression point of view, it is critical to systematically analyze the codon usage patterns of the organelle genomes. In light of the importance of codon usage patterns in the development of hyper-expression organelle transgenics, we present ChloroMitoCU, the first-ever curated, web-based reference catalog of the codon usage patterns in organelle genomes. ChloroMitoCU contains the pre-compiled codon usage patterns of 328 chloroplast genomes (29,960 CDS) and 3,502 mitochondrial genomes (49,066 CDS), enabling genome-wide exploration and comparative analysis of codon usage patterns across species. ChloroMitoCU allows the phylogenetic comparison of codon usage patterns across organelle genomes, the prediction of codon usage patterns based on user-submitted transcripts or assembled organelle genes, and comparative analysis with the pre-compiled patterns across species of interest. ChloroMitoCU can increase our understanding of the biased patterns of codon usage in organelle genomes across multiple clades. ChloroMitoCU can be accessed at: http://chloromitocu.cgu.edu.tw/

The association between serum uric acid level and the risk of fractures: a systematic review and meta-analysis

Controversy has arisen in regarding the association between serum uric acid (UA) and fracture risk. Therefore, we conducted a systemic review and meta-analysis by pooling estimate of five prospective studies (29,110 participants). Results showed that an increased serum UA level is associated with a lower risk of fracture. Numerous studies have demonstrated that high serum UA is a relevant risk factor for a wide variety of diseases, whereas new understanding in serum uric acid follows recent reports demonstrating a protective role of UA in health status. However, the association between serum UA and fracture remains controversial. Therefore, we conduct a systemic review and meta-analysis to determine whether elevated UA level is a protective factor for fracture among prospective studies. We searched for studies published before May 6, 2016, using PubMed, Embase, and Cochrane databases, without any language restriction. The inclusion criteria were published studies investigating the association between UA and fractures. Two authors independently screened the retrieved articles in accordance to the predefined inclusion criteria. We pooled the study-specific relative risk estimates using a random-effect model for comparison of persons whose UA levels were in the top tertile with those in the bottom tertile. Factors that may predict these associations were evaluated in subgroup analysis and meta-regression. The five included prospective studies included 29,110 participants. In random-effect models that included all five included studies, the summary hazard ratios (HRs) (top vs bottom tertiles) were 079 (95% CI, 0.69 to 0.89), without evidence of heterogeneity (P for heterogeneity = 0.458; I ² = 0%). Similar results were shown when pooling estimate of three higher-quality studies (HR 0.80 95% CI, 0.69 to 0.93). The association between UA and fracture remained in sensitivity and subgroup analyses. An increased serum UA level is shown to be associated with a lower risk of fracture, albeit additional large, high-quality prospective studies or a meta-analysis of individual data are still needed to verify the association.

Distinct expression of interferon-induced protein with tetratricopeptide repeats (IFIT) 1/2/3 and other antiviral genes between subsets of dendritic cells induced by dengue virus 2 infection

Dengue virus (DENV) infection is an emerging public health hazard threatening inhabitants of the tropics and sub-tropics. Dendritic cells (DCs) are one of the major targets of DENV and the initiators of the innate immune response against the virus. However, current in vitro research on the DENV-DC interaction is hampered by the low availability of ex vivo DCs and donor variation. In the current study, we attempted to develop a novel in vitro DC model using immature DCs derived from the myeloid leukaemia cell line MUTZ-3 (IMDCs) to investigate the DENV-DC interaction. The IMDCs morphologically and phenotypically resembled human immature monocyte-derived dendritic cells (IMMoDCs). However, the permissiveness of IMDCs to DENV2 was lower than that of IMMoDCs. RT-PCR arrays showed that a group of type I interferon (IFN) -inducible genes, especially IFIT1, IFITM1, and IFI27, were significantly up-regulated in IMMoDCs but not in IMDCs after DENV2 infection. Further investigation revealed that IFIT genes were spontaneously expressed at both transcriptional and protein levels in the naive IMDCs but not in the naive IMMoDCs. It is possible that the poor permissiveness of IMDCs to DENV2 was a result of the high basal levels of IFIT proteins. We conclude that the IMDC model, although less permissive to DENV2, is a useful platform for studying the suppression mechanism of DENV2 and we expand the knowledge of cellular factors that modulate DENV2 infection in the human body.

Collaborating to Compete: Blood Profiling Atlas in Cancer (BloodPAC) Consortium

The cancer community understands the value of blood profiling measurements in assessing and monitoring cancer. We describe an effort among academic, government, biotechnology, diagnostic, and pharmaceutical companies called the Blood Profiling Atlas in Cancer (BloodPAC) Project. BloodPAC will aggregate, make freely available, and harmonize for further analyses, raw datasets, relevant associated clinical data (e.g., clinical diagnosis, treatment history, and outcomes), and sample preparation and handling protocols to accelerate the development of blood profiling assays.

Integral recycling of municipal solid waste incineration (MSWI) bottom ash fines (0-2mm) and industrial powder wastes by cold-bonding pelletization

The cold-bonding pelletizing technique is applied in this study as an integrated method to recycle municipal solid waste incineration (MSWI) bottom ash fines (BAF, 0-2mm) and several other industrial powder wastes. Artificial lightweight aggregates are produced successfully based on the combination of these solid wastes, and the properties of these artificial aggregates are investigated and then compared with others' results reported in literature. Additionally, methods for improving the aggregate properties are suggested, and the corresponding experimental results show that increasing the BAF amount, higher binder content and addition of polypropylene fibres can improve the pellet properties (bulk density, crushing resistance, etc.). The mechanisms regarding to the improvement of the pellet properties are discussed. Furthermore, the leaching behaviours of contaminants from the produced aggregates are investigated and compared with Dutch environmental legislation. The application of these produced artificial lightweight aggregates are proposed according to their properties.

Abstract P1-03-10: HER2 expression in clinical breast cancer samples: A novel detection methodology for HER2 protein quantitation using fluorescent nanoparticles

Background: The human epidermal growth factor receptor-2 (HER2) is a member of a family of transmembrane tyrosine kinase receptors that play an important role in regulated normal cell growth and differentiation. The over-expression of HER2 in a subset of 15-20% of invasive breast cancers has an important bearing on prognosis, as HER2-positive tumors are associated with an aggressive clinical course and poor outcome. Targeting HER2-overexpression has been shown to be a remarkably effective therapeutic modality; however testing of tumor samples to assess the HER2 status of the patient's breast cancer is required. Clinical assays to assess the HER2 status in patients being considered for targeted therapy include immunohistochemistry (IHC), which detects protein over-expression, or fluorescence in situ hybridization (FISH), which detects gene amplification. Both the IHC and FISH methodologies have limitations. Given that the target of the currently approved drugs is the receptor protein, novel detections systems that could more accurately and quantitatively detect HER2 protein in clinical samples over a broad dynamic range would be advantageous and may be clinically helpful.

Material and Methods: A novel detection technology using streptavidin-coated Phosphor Integrated Dot fluorescent nanoparticles (PID) has been developed that can be visualized by fluorescence microscopy and used for quantitative immunofluorescence detection of protein in clinical samples using computer assisted image analysis. In the current study, PID- nanoparticles were used to analyze HER2 protein expression in breast cancer cell lines and 120 well characterized breast cancer samples. These results have been compared with HER2 IHC and HER2 FISH analysis.

Results: The expression levels of HER2 protein from 8 breast cancer cell lines was evaluated by antibody-binding capacity with FACS analysis. Formalin fixed paraffin embedded cell pellets for these cell lines were prepared and used for quantitative HER2 analysis by PID. The PID score/cell for each of these cell lines showed a strong linear correlation with antibody-binding capacity sites/cell by FACS analysis (R2 = 0.94). For the 120 breast cancer samples, PID score/cell was measured and compared against HER2 IHC membrane intensity measure by image analysis (Aperio) and HER2 FISH results. The HER2 PID score/cell showed a correlation coefficient of R2=0.72 versus the average HER2 copy number per cell by FISH, compared with a correlation coefficient of R2=0.41 for HER2 IHC membrane intensity measured by Aperio. For the HER2/CEP17 ratio, the correlation coefficient for the PID score/cell was R2=0.79 compared with a correlation coefficient of R2=0.32 for the HER2 IHC membrane intensity.

Conclusions: PID-nanoparticles demonstrate great potential for the quantitative measurement of protein of clinical interest in routine clinical samples with morphologic confirmation of the tissue being studied. Further studies looking for PID-score thresholds for HER2 gene amplification and correlations with clinical outcome data are warranted and ongoing.

Citation Format: Hicks DG, Goda H, Zhai H, Okada H, McMahon L, Sullivan N, Tang P, Nakano Y. HER2 expression in clinical breast cancer samples: A novel detection methodology for HER2 protein quantitation using fluorescent nanoparticles [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P1-03-10.

Predicting Length of Stay among Patients Discharged from the Emergency Department-Using an Accelerated Failure Time Model

Background

Emergency department (ED) crowding continues to be an important health care issue in modern countries. Among the many crucial quality indicators for monitoring the throughput process, a patient’s length of stay (LOS) is considered the most important one since it is both the cause and the result of ED crowding. The aim of this study is to identify and quantify the influence of different patient-related or diagnostic activities-related factors on the ED LOS of discharged patients.

Methods

This is a retrospective electronic data analysis. All patients who were discharged from the ED of a tertiary teaching hospital in 2013 were included. A multivariate accelerated failure time model was used to analyze the influence of the collected covariates on patient LOS.

Results

A total of 106,206 patients were included for analysis with an overall medium ED LOS of 1.46 (interquartile range = 2.03) hours. Among them, 96% were discharged by a physician, 3.5% discharged against medical advice, 0.5% left without notice, and only 0.02% left without being seen by a physician. In the multivariate analysis, increased age (>80 vs <20, time ratio (TR) = 1.408, p<0.0001), higher acuity level (triage level I vs. level V, TR = 1.343, p<0.0001), transferred patients (TR = 1.350, p<0.0001), X-rays obtained (TR = 1.181, p<0.0001), CT scans obtained (TR = 1.515, p<0.0001), laboratory tests (TR = 2.654, p<0.0001), consultation provided (TR = 1.631, p<0.0001), observation provided (TR = 8.435, p<0.0001), critical condition declared (TR = 1.205, p<0.0001), day-shift arrival (TR = 1.223, p<0.0001), and an increased ED daily census (TR = 1.057, p<0.0001) lengthened the ED LOS with various effect sizes. On the other hand, male sex (TR = 0.982, p = 0.002), weekend arrival (TR = 0.928, p<0.0001), and adult non-trauma patients (compared with pediatric non-trauma, TR = 0.687, p<0.0001) were associated with shortened ED LOS. A prediction diagram was made accordingly and compared with the actual LOS.

Conclusions

The influential factors on the ED LOS in discharged patients were identified and quantified in the current study. The model’s predicted ED LOS may provide useful information for physicians or patients to better anticipate an individual’s LOS and to help the administrative level plan its staffing policy.

PARRoT- a homology-based strategy to quantify and compare RNA-sequencing from non-model organisms

Background

Next-generation sequencing promises the de novo genomic and transcriptomic analysis of samples of interests. However, there are only a few organisms having reference genomic sequences and even fewer having well-defined or curated annotations. For transcriptome studies focusing on organisms lacking proper reference genomes, the common strategy is de novo assembly followed by functional annotation. However, things become even more complicated when multiple transcriptomes are compared.

Results

Here, we propose a new analysis strategy and quantification methods for quantifying expression level which not only generate a virtual reference from sequencing data, but also provide comparisons between transcriptomes. First, all reads from the transcriptome datasets are pooled together for de novo assembly. The assembled contigs are searched against NCBI NR databases to find potential homolog sequences. Based on the searched result, a set of virtual transcripts are generated and served as a reference transcriptome. By using the same reference, normalized quantification values including RC (read counts), eRPKM (estimated RPKM) and eTPM (estimated TPM) can be obtained that are comparable across transcriptome datasets. In order to demonstrate the feasibility of our strategy, we implement it in the web service PARRoT. PARRoT stands for Pipeline for Analyzing RNA Reads of Transcriptomes. It analyzes gene expression profiles for two transcriptome sequencing datasets. For better understanding of the biological meaning from the comparison among transcriptomes, PARRoT further provides linkage between these virtual transcripts and their potential function through showing best hits in SwissProt, NR database, assigning GO terms. Our demo datasets showed that PARRoT can analyze two paired-end transcriptomic datasets of approximately 100 million reads within just three hours.

Conclusions

In this study, we proposed and implemented a strategy to analyze transcriptomes from non-reference organisms which offers the opportunity to quantify and compare transcriptome profiles through a homolog based virtual transcriptome reference. By using the homolog based reference, our strategy effectively avoids the problems that may cause from inconsistencies among transcriptomes. This strategy will shed lights on the field of comparative genomics for non-model organism. We have implemented PARRoT as a web service which is freely available at http://parrot.cgu.edu.tw.

Clinical characteristics and risk factors of postoperative pneumonia after hip fracture surgery: a prospective cohort study

In this study, we attempt to determine the clinical characteristic and risk factors of postoperative pneumonia (POP) after hip fracture surgery in a well-defined hip fracture cohort. We find that intrinsic factors as well as major clinical interventions were all important risk factors of POP.

INTRODUCTION

Postoperative pneumonia (POP) is one of the major complications following hip fractures surgery. However, the risk factors of POP are not well studied in hip fracture cohorts. We attempt to determine the clinical characteristic and risk factors of POP after hip fracture surgery in a well-defined hip fracture cohort.

METHODS

Datasets from a prospective hip fracture cohort study with a 2-year follow-up period, from 2000 to 2011, were reanalyzed for characteristics of POP. Multivariate Cox proportional regression was used to evaluate the association between the incidence of POP and all-cause mortality. Multivariate logistic regression was used to screen for potential risk factors of POP by analyzing demographic factors, comorbidities, major clinical interventions, and hematological parameters.

RESULTS

In 1429 patients who underwent hip surgery, the incidence of POP was 4.9 % (n = 70). All-cause mortality of patients with POP was significantly higher than that of patients without POP at 30 days (hazard ratio (HR) 3.05, 95 % confidence intervals (CI) 1.88-4.94), 1 year (HR 1.87, 95 % CI 1.41-2.48), and 2 years (HR 1.57, 95 % CI 1.23-1.99) postoperatively. Multivariate logistic regression showed that intrinsic factors (advanced age, anemia, diabetes, prior stroke, number of comorbidities, ASA score ≥III, and some laboratory biomarkers) as well as major clinical interventions were all significant risk factors for POP.

CONCLUSION

Intrinsic factors and major clinical interventions were all important risk factors of POP in patients after hip fracture surgery. Targeted preventive measures to mitigate the above risk factors may help in reducing the incidence of POP.

DETECTING ANOMALY REGIONS IN SATELLITE IMAGE TIME SERIES BASED ON SESAONAL AUTOCORRELATION ANALYSIS

Anomaly regions in satellite images can reflect unexpected changes of land cover caused by flood, fire, landslide, etc. Detecting anomaly regions in satellite image time series is important for studying the dynamic processes of land cover changes as well as for disaster monitoring. Although several methods have been developed to detect land cover changes using satellite image time series, they are generally designed for detecting inter-annual or abrupt land cover changes, but are not focusing on detecting spatial-temporal changes in continuous images. In order to identify spatial-temporal dynamic processes of unexpected changes of land cover, this study proposes a method for detecting anomaly regions in each image of satellite image time series based on seasonal autocorrelation analysis. The method was validated with a case study to detect spatial-temporal processes of a severe flooding using Terra/MODIS image time series. Experiments demonstrated the advantages of the method that (1) it can effectively detect anomaly regions in each of satellite image time series, showing spatial-temporal varying process of anomaly regions, (2) it is flexible to meet some requirement (e.g., z-value or significance level) of detection accuracies with overall accuracy being up to 89% and precision above than 90%, and (3) it does not need time series smoothing and can detect anomaly regions in noisy satellite images with a high reliability.