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Transcriptomic Landscape of Hras12V Oncogene-Induced Hepatocarcinogenesis with Gender Disparity

ABSTRACT: The genesis of hepatocellular carcinoma (HCC) is closely related to hyper-activated Ras signals and male factors. This study aimed to characterize the underlying mechanisms by examining the transcriptome of Hras12V transgenic mice (Ras-Tg, HCC model). A transcriptomic database was established via RNA-Seq of HCC (T) and the adjacent precancerous liver tissue (P) of Ras-Tg and the normal liver tissue of wild-type mice (W) of both sexes. Bioinformatics analysis as well as metabolite and gene expression assays were performed. Totally, 2708 differentially expressed genes (DEGs) were screened out (FC ≥ 2 and q < 0.05). Longitudinal comparative analysis within W, P, and T and correlation expression pattern analysis revealed common/unique cluster-enriched items towards HCC between the sexes. Specifically, the numbers of DEGs were much higher in females than in males, and tumor suppressor genes, such as p21Waf1/Cip1 and C6, were significantly higher in the female P. This finding denotes the higher sensitivity of female hepatocytes to the Ras oncogene and, therefore, the difficulty in developing HCC. Moreover, convergence in HCC between the sexes suggests the underlying mechanisms for ineffectiveness of sex hormone therapies. Additionally, expression pattern analysis revealed that the DEGs and their relevant pathways were either positively or negatively associated with the HCC/Ras oncogene. Among them, the vital role of glutathione metabolism in HCC was established. The systemic transcriptomic database of the Ras oncogene-induced HCC with sex disparities provides valuable clues for elucidating the underlying mechanisms, selecting the diagnostic biomarker, and planning the clinical therapy in HCC.

ORGANISM(S): Mus musculus

PROVIDER: GSE232694 | GEO | 2024/05/18

REPOSITORIES: GEO

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Project description:Hepatocellular carcinoma (HCC) is the most common liver cancer and a highly malignant tumor. The frequent activation of Ras signaling pathway and the male prevalence are the distinct characteristics of HCC though the underlying mechanisms remain elucidated. By exploring a mouse model of HCC induced by hepatocyte-specific expression of the Hras12V oncogene and showed significant male prevalence in hepatic tumorigenesis, we performed a high-throughput comparative proteomic analysis based on tandem-mass-tag (TMT) labeling combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS) on the protein samples from hepatic tumor tissues (T) and peri-tumor tissues (P) of transgenic males and females and the corresponding normal liver tissues (W) of non-transgenic males and females. In total, 5733 proteins were confidently identified, of which 5193 proteins were quantified. Finally, 1344 differentially expressed proteins (DEPs) (quantified in all examined samples; 1.5 ≤ quantitative ratios ≤ 0.67; p ≤ 0.05) were selected for further analysis. Vertical comparison within W, P, T of males and females, respectively, showed that the numbers of DEPs in males were much higher than females. Bioinformatics analyses showed the common and unique cluster enriched items between sexes which indicates the common and gender disparity pathways towards HCC. Further expression change pattern analysis revealed HCC positive/negative-related and Ras oncogene positive/negative-related DEPs. Horizontal comparison between males and females showed that Ras oncogene gradually and significantly reduced the responses to sex hormones from hepatocytes to hepatoma cells and therefore shrunk their gender disparity, which may contribute to the cause of the loss of HCC clinical responses to the therapeutic approaches targeting sex hormone pathways. Additionally, FABP5 was found to be a more sensitive biomarker for clinical diagnose and prognosis prediction of HCC patients comparing to AFP. In conclusion, the present study firstly provided a comprehensive proteome profiles and novel insights in male bias hepatic tumorigenesis induced by H-ras12V oncogene.

Project description:RNA-seq is a powerful tool for comprehensive characterization of whole transcriptome at both gene and exon levels and with a unique ability of identifying novel splicing variants. To date, RNA-seq analysis of HBV-related HCC has not been reported. In this study, we performed transcriptome analyses for 10 matched pairs of cancer and non-cancerous tissues from Chinese HBV-related hepatocelluar carcinoma patients using 36bp single-end sequencing approach on Solexa/Illumina GAII platform. On average, about 21.6 million sequencing reads and 10.6 million aligned reads were obtained for samples sequenced on each lane, which was able to identify > 50% of all the annotated genes for each sample. Furthermore, from by far the largest database of transcripts expressed in HCC tissues, we identified 1,378 significantly differently expressed genes (DEGs) and 24, 338 differentially expressed exons (DEEs). Comprehensive function analyses indicated that cell growth-related, metabolism-related and immune-related pathways were most significantly enriched by DEGs, pointing to a complex mechanism for HCC carcinogenesis. Positional gene enrichment analysis showed that DEGs were most significantly enriched at chromosome 8q21.3-24.3. The most interesting findings were from the analysis at exon levels where we characterized three major patterns of expression changes between gene levels and exon levels, implying a much complex landscape of transcript-specific differential expressions in HCC. Finally, we identified a novel highly up-regulated exon-exon junction in ATAD2 (ATPase family, AAA domain containing 2) gene in HCC tissues. Overall, to our best knowledge, our study represents the most comprehensive characterization of the HBV-related HCC transcriptome including exon level expression changes and novel splicing variants, which illustrated the power of RNA-seq and provided important clues for understanding the molecular mechanisms of HCC pathogenesis at system-wide levels. A comprehensive analysis of transcriptome for 10 match-paired HBV-related Chinese HCC and non-cancerous adjacent tissues. Processed data files: Exon-level results, gene-level results, differentially expressed exons, and differently expressed genes (DEGs).

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Transcriptomic Landscape of Hras12V Oncogene-Induced Hepatocarcinogenesis with Gender Disparity

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