SMARCA4 oncogenic potential via IRAK1 enhancer to activate Gankyrin and AKR1B10 in liver cancer.

SWItch/Sucrose Non-Fermentable (SWI/SNF) is a multiprotein complex essential for the regulation of eukaryotic gene expression. SWI/SNF complex genes are genetically altered in over 20% of human malignancies, but the aberrant regulation of the SWI/SNF subunit genes and subsequent dysfunction caused by abnormal expression of subunit gene in cancer, remain poorly understood. Among the SWI/SNF subunit genes, SMARCA4, SMARCC1, and SMARCA2 were identified to be overexpressed in human hepatocellular carcinoma (HCC). Modulation of SMARCA4, SMARCC1, and SMARCA2 inhibited in vitro tumorigenesis of HCC cells. However, SMARCA4-targeting elicited remarkable inhibition in an in vivo Ras-transgenic mouse HCC model (Ras-Tg), and high expression levels of SMARCA4 significantly associated with poor prognosis in HCC patients. Furthermore, most HCC patients (72-86%) showed SMARCA4 overexpression compared to healthy controls. To identify SMARCA4-specific active enhancers, mapping, and analysis of chromatin state in liver cancer cells were performed. Integrative analysis of SMARCA4-regulated genes and active chromatin enhancers suggested 37 genes that are strongly activated by SMARCA4 in HCC. Through chromatin immunoprecipitation-qPCR and luciferase assays, we demonstrated that SMARCA4 activates Interleukin-1 receptor-associated kinase 1 (IRAK1) expression through IRAK1 active enhancer in HCC. We then showed that transcriptional activation of IRAK1 induces oncoprotein Gankyrin and aldo-keto reductase family 1 member B10 (AKR1B10) in HCC. The regulatory mechanism of the SMARCA4-IRAK1-Gankyrin, AKR1B10 axis was further demonstrated in HCC cells and in vivo Ras-Tg mice. Our results suggest that aberrant overexpression of SMARCA4 causes SWI/SNF to promote IRAK1 enhancer to activate oncoprotein Gankyrin and AKR1B10, thereby contributing to hepatocarcinogenesis.

A Simple Guideline to Assess the Characteristics of RNA-Seq Data.

Next-generation sequencing (NGS) techniques have been used to generate various molecular maps including genomes, epigenomes, and transcriptomes. Transcriptomes from a given cell population can be profiled via RNA-seq. However, there is no simple way to assess the characteristics of RNA-seq data systematically. In this study, we provide a simple method that can intuitively evaluate RNA-seq data using two different principal component analysis (PCA) plots. The gene expression PCA plot provides insights into the association between samples, while the transcript integrity number (TIN) score plot provides a quality map of given RNA-seq data. With this approach, we found that RNA-seq datasets deposited in public repositories often contain a few low-quality RNA-seq data that can lead to misinterpretations. The effect of sampling errors for differentially expressed gene (DEG) analysis was evaluated with ten RNA-seq data from invasive ductal carcinoma tissues and three RNA-seq data from adjacent normal tissues taken from a Korean breast cancer patient. The evaluation demonstrated that sampling errors, which select samples that do not represent a given population, can lead to different interpretations when conducting the DEG analysis. Therefore, the proposed approach can be used to avoid sampling errors prior to RNA-seq data analysis.

Transcriptome Signatures of Canine Mammary Gland Tumors and Its Comparison to Human Breast Cancers.

Breast cancer (BC)/mammary gland carcinoma (MGC) is the most frequently diagnosed and leading cause of cancer-related mortality in both women and canines. To better understand both canine MGC and human BC-specific genes, we sequenced RNAs obtained from eight pairs of carcinomas and adjacent normal tissues in dogs. By comprehensive transcriptome analysis, 351 differentially expressed genes (DEGs) were identified in overall canine MGCs. Based on the DEGs, comparative analysis revealed correlation existing among the three histological subtypes of canine MGC (ductal, simple, and complex) and four molecular subtypes of human BC (HER2+, ER+, ER&HER2+, and TNBC). Eight DEGs shared by all three subtypes of canine MGCs had been previously reported as cancer-associated genes in human studies. Gene ontology and pathway analyses using the identified DEGs revealed that the biological processes of cell proliferation, adhesion, and inflammatory responses are enriched in up-regulated MGC DEGs. In contrast, fatty acid homeostasis and transcription regulation involved in cell fate commitment were down-regulated in MGC DEGs. Moreover, correlations are demonstrated between upstream promoter transcripts and DEGs. Canine MGC- and subtype-enriched gene expression allows us to better understand both human BC and canine MGC, yielding new insight into the development of biomarkers and targets for both diseases.