Five-lipoxygenase-activating protein-mediated CYLD attenuation is a candidate driver in hepatic malignant lesion.

Hepatocellular carcinoma (HCC) is an inflammation-associated cancer. However, the lipid pro-inflammatory mediators have only been seldom investigated in HCC pathogenesis. Cylindromatosis (CYLD) attenuation is involved in hepatocarcinogenesis. Here, we aimed to evaluate the significance of hepatic lipid pro-inflammatory metabolites of arachidonate-affected CYLD expression via the 5-lipoxygenase (5-LO) pathway. Resection liver tissues from HCC patients or donors were evaluated for the correlation of 5-LO/cysteinyl leukotrienes (CysLTs) signaling to the expression of CYLD. The impact of functional components in 5-LO/CysLTs cascade on survival of HCC patients was subsequently assessed. Both livers from canines, a preponderant animal for cancer research, and genetic-modified human HCC cells treated with hepatocarcinogen aristolochic acid I (AAI) were further used to reveal the possible relevance between 5-LO pathway activation and CYLD suppression. Five-LO-activating protein (FLAP), an essential partner of 5-LO, was significantly overexpressed and was parallel to CYLD depression, CD34 neovascular localization, and high Ki-67 expression in the resection tissues from HCC patients. Importantly, high hepatic FLAP transcription markedly shortened the median survival time of HCC patients after surgical resection. In the livers of AAI-treated canines, FLAP overexpression was parallel to enhanced CysLTs contents and the simultaneous attenuation of CYLD. Moreover, knock-in FLAP significantly diminished the expression of CYLD in AAI-treated human HCC cells. In summary, the hepatic FLAP/CysLTs axis is a crucial suppressor of CYLD in HCC pathogenesis, which highlights a novel mechanism in hepatocarcinogenesis and progression. FLAP therefore can be explored for the early HCC detection and a target of anti-HCC therapy.

Association of heat shock protein 8 with atopic march in a murine experimental model.

Background: Atopic march (AM), a unique characteristic of allergic diseases, refers to the sequential progression of atopic dermatitis (AD) in infants to allergic asthma and allergic rhinitis in children and young adults, respectively. Although there are several studies on AM, the establishment of an AM murine model to expand our understanding of the underlying mechanism and to identify the potential biomarkers is yet to be achieved. In this study, an improved murine model was established by applying a method to minimize skin irritation in inducing AD, and it was used to perform integrated analyses to discover candidate biomarkers. Methods: To induce atopic dermatitis, 2,4-dinitrochlorobenzene (DNCB) was applied to the ear skin once a week, and this was continued for 5 weeks. From the second application of DNCB, Dermatophagoides pteronyssinus (Dp) extract was applied topically 2 days after each DNCB application; this was continued for 4 weeks. Dp sensitization and intranasal challenges were then performed for 4 weeks to develop conditions mimicking AM. Results: Exacerbated airway inflammation and allergic responses observed in the AM-induced group suggested successful AM development in our model. Two-dimensional gel electrophoresis (2-DE) and mass spectrometry analysis identified 753 candidate proteins from 124 2-DE spots differentially expressed among the experimental groups. Functional analyses, such as Gene Ontology (GO) annotation and protein-protein interaction (PPI) analysis were conducted to investigate the relationship among the candidate proteins. Seventy-two GO terms were significant between the two groups; heat shock protein 8 (Hspa8) was found to be included in six of the top 10 GO terms. Hspa8 scored high on the PPI parameters as well. Conclusion: We established an improved murine model for AM and proposed Hspa8 as a candidate biomarker for AM.

An RNA-Seq-Based Framework for Characterizing Canine Prostate Cancer and Prioritizing Clinically Relevant Biomarker Candidate Genes.

Prostate cancer (PCa) in dogs is a highly malignant disease akin to its human counterpart. In contrast to the situation in humans, multi-gene approaches facilitating risk stratification of canine PCa are barely established. The aims of this study were the characterization of the transcriptional landscape of canine PCa and the identification of diagnostic, prognostic and/or therapeutic biomarkers through a multi-step screening approach. RNA-Sequencing of ten malignant tissues and fine-needle aspirations (FNA), and 14 nonmalignant tissues and FNAs was performed to find differentially expressed genes (DEGs) and deregulated pathways. The 4098 observed DEGs were involved in 49 pathways. These 49 pathways could be grouped into five superpathways summarizing the hallmarks of canine PCa: (i) inflammatory response and cytokines; (ii) regulation of the immune system and cell death; (iii) cell surface and PI3K signaling; (iv) cell cycle; and (v) phagosome and autophagy. Among the highly deregulated, moderately to strongly expressed DEGs that were members of one or more superpathways, 169 DEGs were listed in relevant databases and/or the literature and included members of the PCa pathway, oncogenes, prostate-specific genes, and druggable genes. These genes are novel and promising candidate diagnostic, prognostic and/or therapeutic canine PCa biomarkers.

Biological and molecular characterization of linalool-mediated field resistance against Xanthomonas citri subsp. citri in citrus trees.

The biological and molecular traits of the Ponkan mandarin (Citrus reticulata Blanco) were characterized in an investigation of the mechanisms of field resistance against citrus canker disease caused by the bacterial pathogen, Xanthomonas citri subsp. citri (Xcc). Various conventional citrus varieties that show diverse responses to Xcc were investigated, and the temporal changes in Xcc titer in response to linalool concentrations among the varieties revealed differences in Xcc proliferation trends in the inoculated leaves of the immune, field-resistant and susceptible varieties. In addition, increased linalool accumulation was inversely related to Xcc titers in the field-resistant varieties, which is likely caused by host--pathogen interactions. Quantitative trait locus (QTL) analysis using the F1 population of the resistant Ponkan mandarin and susceptible 'Harehime' ('E-647' × 'Miyagawa-wase') cultivar revealed that linalool accumulation and Xcc susceptibility QTLs overlapped. These results provide novel insights into the molecular mechanisms of linalool-mediated field resistance to Xcc, and suggest that high linalool concentrations in leaves has an antibacterial effect and becomes a candidate-biomarker target for citrus breeding to produce seedlings with linalool-mediated field resistance against Xcc.

[Association between circular RNAs expression in serum and gastric cancer].

Objective: To analyze the association between circular RNAs expression in serum and gastric cancer and evaluate the potential of the related markers in early diagnosis of gastric cancer. Methods: Forty eight gastric cancer cases in Linqu County People's Hospital were selected as case group, and 48 controls matched by age and sex were randomly selected in the gastric cancer screening cohort during the same period. The expression levels of hsa_circ_002059, hsa_circ_0000096 and hsa_circ_0001895 were detected by quantitative real-time PCR. The results were compared between case group and control group. Results: The positive expression rates of hsa_circ_002059, hsa_circ_0000096 and hsa_circ_0001895 were 70.8%, 47.9%, 75.0% in case group, slightly higher than those in control group (58.3%, 31.3%, 60.4%), although P values were all more than 0.05. The expression level medians of the 3 candidate circRNAs expression levels were 1.60% (0-5.64%), 0 (0-0.61%), 0.91% (0.06%-1.88%) in case group, while 0.05% (0-6.07%), 0 (0-0.34%), 0.42% (0-1.39%) in control group, respectively. Conditional logistic regression analysis showed that the association strength of high expressions of 3 candidate circRNAs with gastric cancer showed an increase trend, but the differences had no significance after adjusted by Helicobacter pylori infection, smoking and drinking status (all P>0.05). Further analysis by combining the 3 candidate circRNAs showed the increased strength of association between circRNAs and gastric cancer with the elevated number of positive circRNAs in serum (trend test P=0.040) compared with circRNAs negative persons. Conclusion: Our study preliminarily suggested that the expression of hsa_circ_002059, hsa_circ_0000096 and hsa_circ_0001895 in serum might be correlated with gastric cancer.

Statistical Approaches to Candidate Biomarker Panel Selection.

The statistical analysis of robust biomarker candidates is a complex process, and is involved in several key steps in the overall biomarker development pipeline (see Fig. 22.1, Chap. 19 ). Initially, data visualization (Sect. 22.1, below) is important to determine outliers and to get a feel for the nature of the data and whether there appear to be any differences among the groups being examined. From there, the data must be pre-processed (Sect. 22.2) so that outliers are handled, missing values are dealt with, and normality is assessed. Once the processed data has been cleaned and is ready for downstream analysis, hypothesis tests (Sect. 22.3) are performed, and proteins that are differentially expressed are identified. Since the number of differentially expressed proteins is usually larger than warrants further investigation (50+ proteins versus just a handful that will be considered for a biomarker panel), some sort of feature reduction (Sect. 22.4) should be performed to narrow the list of candidate biomarkers down to a more reasonable number. Once the list of proteins has been reduced to those that are likely most useful for downstream classification purposes, unsupervised or supervised learning is performed (Sects. 22.5 and 22.6, respectively).

Glycosylated Alpha-1-acid glycoprotein 1 as a potential lung cancer serum biomarker.

Presently existing screening approaches for lung cancer are not being proving sufficient and sensitive, so a study was conducted to identify disease related biomarker proteins for diagnostic applications. A total of 100 lung cancer patients (88 non-small cell lung cancer and 12 small cell lung cancer) and 50 healthy controls were included in this study. Serum samples of patients and healthy controls were subjected to a series of proteomic approaches and as a result of two dimensional gel electrophoresis, a ∼ 43 kDa protein was found to be differentially expressed compared to healthy controls. Quantitative profiling of two dimensional gels by Dymension software analysis displayed 3.58 fold increased expression of ∼ 43 kDa protein in squamous cell carcinoma and 2.92 fold in case of adenocarcinoma. Mass spectrometric analysis resulted in identification of 8 differentially expressed proteins, out of which human Alpha-1-acid glycoprotein 1 was targeted for further validations. This candidate protein exhibited N-linked glycosylation at five amino acid residues; 33, 56, 72, 93, and 103 with significant score of 0.66, 0.78, 0.78, 0.53 and 0.66, respectively. Sandwich ELISA quantified high serum levels of Alpha-1-acid glycoprotein 1 in squamous cell carcinoma (2.93 g/l ± 1.22) and adenocarcinoma (2.39 g/l ± 1.13) when compared with healthy controls (0.83 g/l ± 0.21). One-way ANOVA analysis predicted highly significant variation of Alpha-1-acid glycoprotein 1, among all the study types (F-value 65.37, p-value 0.000). This study may prove as a non-invasive, cost effective and sensitive scheme for diagnosis of lung cancer, by passing the expensive and painful screening procedures.

Integrative analysis to select cancer candidate biomarkers to targeted validation.

Targeted proteomics has flourished as the method of choice for prospecting for and validating potential candidate biomarkers in many diseases. However, challenges still remain due to the lack of standardized routines that can prioritize a limited number of proteins to be further validated in human samples. To help researchers identify candidate biomarkers that best characterize their samples under study, a well-designed integrative analysis pipeline, comprising MS-based discovery, feature selection methods, clustering techniques, bioinformatic analyses and targeted approaches was performed using discovery-based proteomic data from the secretomes of three classes of human cell lines (carcinoma, melanoma and non-cancerous). Three feature selection algorithms, namely, Beta-binomial, Nearest Shrunken Centroids (NSC), and Support Vector Machine-Recursive Features Elimination (SVM-RFE), indicated a panel of 137 candidate biomarkers for carcinoma and 271 for melanoma, which were differentially abundant between the tumor classes. We further tested the strength of the pipeline in selecting candidate biomarkers by immunoblotting, human tissue microarrays, label-free targeted MS and functional experiments. In conclusion, the proposed integrative analysis was able to pre-qualify and prioritize candidate biomarkers from discovery-based proteomics to targeted MS.

New therapeutic perspectives in CCDC6 deficient lung cancer cells.

Non-small cell lung cancer (NSCLC) is the main cause of cancer-related death worldwide and new therapeutic strategies are urgently needed. In this study, we have characterized a panel of NSC lung cancer cell lines for the expression of coiled-coil-domain containing 6 (CCDC6), a tumor suppressor gene involved in apoptosis and DNA damage response. We show that low CCDC6 protein levels are associated with a weak response to DNA damage and a low number of Rad51 positive foci. Moreover, CCDC6 deficient lung cancer cells show defects in DNA repair via homologous recombination. In accordance with its role in the DNA damage response, CCDC6 attenuation confers resistance to cisplatinum, the current treatment of choice for NSCLC, but sensitizes the cells to olaparib, a small molecule inhibitor of the repair enzymes PARP1/2. Remarkably, the combination of the two drugs is more effective than each agent individually, as demonstrated by a combination index <1. Finally, CCDC6 is expressed at low levels in about 30% of the NSCL tumors we analyzed by TMA immunostaining. The weak CCDC6 protein staining is significatively correlated with the presence of lymph node metastasis (p ≤ 0.02) and negatively correlated to the disease free survival (p ≤ 0.01) and the overall survival (p ≤ 0.05). Collectively, the data indicate that CCDC6 levels provide valuable insight for OS. CCDC6 could represent a predictive biomarker of resistance to conventional single mode therapy and yield insight on tumor sensitivity to PARP inhibitors in NSCLC.