PINCH‐2 expression in cancers involving serosal effusions using quantitative PCR

Y. Yuan, H. P. Dong, D. A. Nymoen, J. M. Nesland, C. Wu and B. Davidson
PINCH‐2 expression in cancers involving serosal effusions using quantitative PCR Objective: The PINCH‐2 gene was previously shown to be overexpressed in malignant mesothelioma compared with ovarian/peritoneal serous carcinoma in Affymetrix array analysis. The objective of the present study was to validate this finding at the mRNA and protein level. Methods: Effusions (n = 91; 71 ovarian and 10 breast carcinomas, 10 malignant mesotheliomas) were assayed for PINCH‐2 mRNA expression using quantitative PCR. PINCH‐2 protein expression was analysed in 37 effusions using flow cytometry. Results: Quantitative PCR analysis showed significantly higher PINCH‐2 mRNA levels in mesotheliomas compared with carcinomas (P = 0.004). Values of <10 copies were found exclusively in carcinoma effusions (25.4% of ovarian and 50% of breast carcinomas). However, PINCH‐2 protein expression by flow cytometry did not differ significantly between the three cancer types. No association was observed between PINCH‐2 levels and patient survival or expression of previously‐studied molecules related to adhesion, metastasis and apoptosis inhibition in ovarian carcinoma. Conclusions: Our data suggest that PINCH‐2 mRNA is overexpressed in malignant mesothelioma compared with carcinomas involving serosal cavities, and that low levels of this gene argue against the diagnosis of mesothelioma. The frequent PINCH‐2 protein expression in all three studied cancers suggests a role for this molecule in cancer cell biology in effusions and merits further research.     

乙肝相关性肝癌差异表达基因的获得及FOLR1分析

运用基因芯片技术获取以稳定转染HBx基因的肝癌细胞HepG2(HepG2-X)及非转染的肝癌细胞HepG2中差异表达的基因,并对其中一条基因进行的生物信息学分析。采用人肝癌G2细胞(HepG2)细胞系为对照组,以稳定转染HBx的HepG2细胞为实验组,抽取总RNA,经过反转录cDNA,对照组用Cy3实验组用Cy5荧光标记,获得cDNA探针;经杂交、洗涤后,通过ImaGene3.0软件进行分析统计。通过基因芯片筛选,获得643条与乙肝相关性肝细胞性癌相关的基因,其中FOLR1基因差异性表达最显著,HBx显著下调其表达,同源性比较分析结果表明,其碱基序列与已经报道的其他12种哺乳动物的相似率为67%-99%,且符合种属之间的进化关系。基因芯片筛选HBx诱导的HepG2差异表达基因具有样品用量少,高质量,高速度,高敏感等特性。FOLR1可能为HBV相关肝癌的发生、转移的诊断、靶基因治疗和预后评估提供一定的依据。     

卵巢高/低级别浆液性癌的定量蛋白质组学比较研究

目的:探讨卵巢高级别浆液性癌和低级别浆液性癌的差异表达蛋白,为阐明卵巢癌发生机制及寻找诊断和预后标志物的提供线索。方法:收集卵巢癌新鲜组织标本冻存于液氮中,经病理学确诊为高级别浆液性癌和低级别浆液性癌,两种类型各收集15例。应用i TRAQ定量蛋白质组学技术筛选及鉴定高/低级别浆液性癌的差异表达蛋白,并进行生物信息学分析。结果:卵巢高级别和低级别浆液性癌组织的定量蛋白质组学比较研究鉴定出差异表达蛋白314个,其中与低级别浆液性癌组比较,高级别浆液性癌组上调蛋白有97种,下调蛋白有217种。GO分析显示这些差异蛋白在分子功能、生物学功能、细胞成分方面均具有一定分布特点。KEGG分析显示这些差异蛋白涉及复杂的信号通路。结论:高/低级别浆液性癌之间存在差异表达蛋白,这些蛋白涉及复杂的功能和信号通路可能在两型卵巢癌发生机制及肿瘤生物学行为差异中具有重要意义。     

An immunophenotyping of renal clear cell carcinoma with characteristics and a potential therapeutic target for patients insensitive to immune checkpoint blockade

Renal clear cell carcinoma (RCC) patients who do not achieve optimal control of progression with immune checkpoint blockade (ICB) should be further studied. Unsupervised consensus clustering was used to group 525 RCC patients based on two typical ICB pathways, CTLA-4 and pogrammed death 1 (PD-1)/programmed death-ligand 1 (PD-L1), as well as two new discovered regulators, CMTM6 and CMTM4. Three immune molecular subtypes (IMMSs) with different clinical and immunological characteristics were identified (type I, II, and III), among which there were more stage I and low-grade tumors in type I RCC than in type II and III. The proportion of males was highest in type II RCC. Overall survival of type II and III was similar (5.2 and 6 years) and statistically shorter than that of type I (7.6 years) before and after adjusting for age and gender. When conducting stratified analysis, our IMMSs were able to identify high-risk patients among middle-aged patients, males, and stage IV patients. Among the differentially expressed genes, approximately 84% were highly expressed in type II and III RCC. Genes related to ICB (CTLA-4, CD274, and PDCD1LG2) and cytotoxic lymphocytes (CD8A, GZMA, and PRF1) were all highly expressed in type II and III RCC. These results documented that patients with type II and III cancer may be more sensitive to anti-CTLA-4 therapy, anti-PD-1/PD-L1 therapy, and a combination of immunotherapies. High expression of CMTM4 in type I RCC (69%) and a statistically significant interaction of CD274 and CMTM6 indicated that CMTM4/6 might be new therapy targets for type I, who are resistant to ICB.     

A negative genetic interaction map in isogenic cancer cell lines reveals cancer cell vulnerabilities

Improved efforts are necessary to define the functional product of cancer mutations currently being revealed through large‐scale sequencing efforts. Using genome‐scale pooled shRNA screening technology, we mapped negative genetic interactions across a set of isogenic cancer cell lines and confirmed hundreds of these interactions in orthogonal co‐culture competition assays to generate a high‐confidence genetic interaction network of differentially essential or differential essentiality (DiE) genes. The network uncovered examples of conserved genetic interactions, densely connected functional modules derived from comparative genomics with model systems data, functions for uncharacterized genes in the human genome and targetable vulnerabilities. Finally, we demonstrate a general applicability of DiE gene signatures in determining genetic dependencies of other non‐isogenic cancer cell lines. For example, the PTEN^?/? DiE genes reveal a signature that can preferentially classify PTEN‐dependent genotypes across a series of non‐isogenic cell lines derived from the breast, pancreas and ovarian cancers. Our reference network suggests that many cancer vulnerabilities remain to be discovered through systematic derivation of a network of differentially essential genes in an isogenic cancer cell model.     

AFAP1‐AS1: A novel oncogenic long non‐coding RNA in human cancers

Long non‐coding RNAs (lncRNAs), a group of non‐protein‐coding RNAs with more than 200 nucleotides in length, are involved in multiple biological processes, such as the proliferation, apoptosis, migration and invasion. Moreover, numerous studies have shown that lncRNAs play important roles as oncogenes or tumour suppressor genes in human cancers. In this paper, we concentrate on actin filament‐associated protein 1‐antisense RNA 1 (AFAP1‐AS1), a well‐known long non‐coding RNA that is overexpressed in various tumour tissues and cell lines, including oesophageal cancer, pancreatic ductal adenocarcinoma, nasopharyngeal carcinoma, lung cancer, hepatocellular carcinoma, ovarian cancer, colorectal cancer, biliary tract cancer and gastric cancer. Moreover, high expression of AFAP1‐AS1 was associated with the clinicopathological features and cancer progression. In this review, we sum up the current studies on the characteristics of AFAP1‐AS1 in the biological function and mechanism of human cancers.     

The diagnostic and molecular characteristics of malignant mesothelioma and ovarian/peritoneal serous carcinoma

B. Davidson The diagnostic and molecular characteristics of malignant mesothelioma and ovarian/peritoneal serous carcinoma Malignant mesothelioma and ovarian/peritoneal serous carcinoma are two of the most common tumours affecting the serosal cavities. Unlike other malignant tumours diagnosed at this anatomical site, such as lung and breast carcinoma, malignant mesothelioma and serous carcinoma share a common histogenesis, may be difficult to differentiate morphologically, and co‐express many of the diagnostic markers used by cytopathologists in effusion diagnosis. Selected markers have nevertheless shown sufficient sensitivity and specificity to differentiate serous carcinoma from malignant mesothelioma effectively. Recently, our group applied high throughput technology to the identification of new markers that may aid in differentiating these two cancer types and validated several of these markers in follow‐up studies. This review will present current data regarding the diagnostic and biological aspects of malignant mesothelioma and ovarian/peritoneal serous carcinoma.     

Microarray analysis of differential gene expression in sensitive and resistant pig to Escherichia coli F18

In this study, Agilent two‐colour microarray‐based gene expression profiling was used to detect differential gene expression in duodenal tissues collected from eight full‐sib pairs of Sutai pigs differing in adhesion phenotype (sensitivity and resistance to Escherichia coli F18). Using a two‐fold change minimum threshold, we found 18 genes that were differentially expressed (10 up‐regulated and eight down‐regulated) between the sensitive and resistant animal groups. Our gene ontology analysis revealed that these differentially expressed genes are involved in a variety of biological processes, including immune responses, extracellular modification (e.g. glycosylation), cell adhesion and signal transduction, all of which are related to the anabolic metabolism of glycolipids, as well as to inflammation‐ and immune‐related pathways. Based on the genes identified in the screen and the pathway analysis results, real‐time PCR was used to test the involvement of ST3GAL1 and A genes (of glycolipid‐related pathways), SLA‐1 and SLA‐3 genes (of inflammation‐ and immune‐related pathways), as well as the differential genes FUT1, TAP1 and SLA‐DQA. Subsequently, real‐time PCR was performed to validate seven differentially expressed genes screened out by the microarray approach, and sufficient consistency was observed between the two methods. The results support the conclusion that these genes are related to the E. coli F18 receptor and susceptibility to E. coli F18.     

MiR‐130b promotes the progression of oesophageal squamous cell carcinoma by targeting SASH1

MiR‐130b and SAM and SH3 domain containing 1 (SASH1) play an important role in many types of human cancers. The aim of our research was to study their interactions in the process of the proliferation and aggressiveness of oesophageal squamous cell carcinoma (ESCC) cells. Microarray analysis was done to screen the differentially expressed genes in the ESCC tissues. miR‐130b and SASH1 mRNA levels in the ESCC tissues and cells were detected by qRT‐PCR. Dual luciferase reporter system was used to verify the target relationship between miR‐130b and SASH1. The effects of miR‐130b on SASH1 expression were explored by western blot in KYSE30 and TE1 cell lines. CCK‐8 assay, flow cytometry, Transwell, and wound healing assays were conducted to explore the effects of miR‐130b and SASH1 in vitro. In addition, in vivo experiments were conducted to study the roles of miR‐130b and SASH1. miR‐130b was highly expressed, while SASH1 was the opposite in both the ESCC tissues and cells. The expression of SASH1 was inhibited by the direct binding of miR‐130b. The inhibition of miR‐130b reduced the proliferation and aggressiveness of ESCC cells, while it also induced apoptosis and cell cycle arrest in the ESCC cells by suppressing SASH1. The in vivo assay suggested that the overexpression of miR‐130b promoted the growth of ESCC tumours. MiR‐130b was up‐regulated in the ESCC tumour tissues and cells, acting as a tumour promoter. A stimulating effect was demonstrated on ESCC cell growth and aggressiveness by suppressing SASH1, which is an anti‐oncogene.     

Gene expression patterns in ovarian carcinomas

We used DNA microarrays to characterize the global gene expression patterns in surface epithelial cancers of the ovary. We identified groups of genes that distinguished the clear cell subtype from other ovarian carcinomas, grade I and II from grade III serous papillary carcinomas, and ovarian from breast carcinomas. Six clear cell carcinomas were distinguished from 36 other ovarian carcinomas (predominantly serous papillary) based on their gene expression patterns. The differences may yield insights into the worse prognosis and therapeutic resistance associated with clear cell carcinomas. A comparison of the gene expression patterns in the ovarian cancers to published data of gene expression in breast cancers revealed a large number of differentially expressed genes. We identified a group of 62 genes that correctly classified all 125 breast and ovarian cancer specimens. Among the best discriminators more highly expressed in the ovarian carcinomas were PAX8 (paired box gene 8), mesothelin, and ephrin-B1 (EFNB1). Although estrogen receptor was expressed in both the ovarian and breast cancers, genes that are coregulated with the estrogen receptor in breast cancers, including GATA-3, LIV-1, and X-box binding protein 1, did not show a similar pattern of coexpression in the ovarian cancers.     

Identification of lncRNA‐associated differential subnetworks in oesophageal squamous cell carcinoma by differential co‐expression analysis

Differential expression analysis has led to the identification of important biomarkers in oesophageal squamous cell carcinoma (ESCC). Despite enormous contributions, it has not harnessed the full potential of gene expression data, such as interactions among genes. Differential co‐expression analysis has emerged as an effective tool that complements differential expression analysis to provide better insight of dysregulated mechanisms and indicate key driver genes. Here, we analysed the differential co‐expression of lncRNAs and protein‐coding genes (PCGs) between normal oesophageal tissue and ESCC tissues, and constructed a lncRNA‐PCG differential co‐expression network (DCN). DCN was characterized as a scale‐free, small‐world network with modular organization. Focusing on lncRNAs, a total of 107 differential lncRNA‐PCG subnetworks were identified from the DCN by integrating both differential expression and differential co‐expression. These differential subnetworks provide a valuable source for revealing lncRNA functions and the associated dysfunctional regulatory networks in ESCC. Their consistent discrimination suggests that they may have important roles in ESCC and could serve as robust subnetwork biomarkers. In addition, two tumour suppressor genes (AL121899.1 and ELMO2), identified in the core modules, were validated by functional experiments. The proposed method can be easily used to investigate differential subnetworks of other molecules in other cancers.     

Hierarchical Clustering of Breast Cancer Methylomes Revealed Differentially Methylated and Expressed Breast Cancer Genes

Oncogenic transformation of normal cells often involves epigenetic alterations, including histone modification and DNA methylation. We conducted whole-genome bisulfite sequencing to determine the DNA methylomes of normal breast, fibroadenoma, invasive ductal carcinomas and MCF7. The emergence, disappearance, expansion and contraction of kilobase-sized hypomethylated regions (HMRs) and the hypomethylation of the megabase-sized partially methylated domains (PMDs) are the major forms of methylation changes observed in breast tumor samples. Hierarchical clustering of HMR revealed tumor-specific hypermethylated clusters and differential methylated enhancers specific to normal or breast cancer cell lines. Joint analysis of gene expression and DNA methylation data of normal breast and breast cancer cells identified differentially methylated and expressed genes associated with breast and/or ovarian cancers in cancer-specific HMR clusters. Furthermore, aberrant patterns of X-chromosome inactivation (XCI) was found in breast cancer cell lines as well as breast tumor samples in the TCGA BRCA (breast invasive carcinoma) dataset. They were characterized with differentially hypermethylated XIST promoter, reduced expression of XIST, and over-expression of hypomethylated X-linked genes. High expressions of these genes were significantly associated with lower survival rates in breast cancer patients. Comprehensive analysis of the normal and breast tumor methylomes suggests selective targeting of DNA methylation changes during breast cancer progression. The weak causal relationship between DNA methylation and gene expression observed in this study is evident of more complex role of DNA methylation in the regulation of gene expression in human epigenetics that deserves further investigation.