J Cancer 2021; 12(10):2993-3010. doi:10.7150/jca.56005 This issue Cite

Research Paper

Integrated Genomic and Transcriptomic Analysis reveals key genes for predicting dual-phenotype Hepatocellular Carcinoma Prognosis

Yaobang Wang1,2,3*, Xi Wang1,2*, Xiaoliang Huang1,2*, Jie Zhang4, Junwen Hu4, Yapeng Qi4, Bangde Xiang4✉, Qiuyan Wang1,2✉

1. Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
2. Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
3. Department of Clinical Laboratory. First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
4. Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Guangxi Zhuang Autonomous Region, China.
*These authors contributed equally to this work.

Citation:
Wang Y, Wang X, Huang X, Zhang J, Hu J, Qi Y, Xiang B, Wang Q. Integrated Genomic and Transcriptomic Analysis reveals key genes for predicting dual-phenotype Hepatocellular Carcinoma Prognosis. J Cancer 2021; 12(10):2993-3010. doi:10.7150/jca.56005. https://www.jcancer.org/v12p2993.htm
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Abstract

Graphic abstract

Dual-phenotype hepatocellular carcinoma (DPHCC) expresses both hepatocyte and cholangiocyte markers, and is characterized by high recurrence and low survival rates. The underlying molecular mechanisms of DPHCC pathogenesis are unclear.

We performed whole exome sequencing and RNA sequencing of three subtypes of HCC (10 DPHCC, 10 CK19-positive HCC, and 14 CK19-negative HCC), followed by integrated bioinformatics analysis, including somatic mutation analysis, mutation signal analysis, differential gene expression analysis, and pathway enrichment analysis. Cox proportional hazard regression analyses were applied for exploring survival related characteristics.

We found that mutated genes in DPHCC patients were associated with carcinogenesis and immunity, and the up-regulated genes were mainly enriched in transcription-related and cancer-related pathways, and the down-regulated genes were mainly enriched in immune-related pathways. CXCL9 was selected as the hub gene, which is associated with immune cells and survival prognosis. Our results showed that low CXCL9 expression was significantly associated with poor prognosis, and its expression was significantly reduced in DPHCC samples.

In conclusion, we explored the molecular mechanisms governing DPHCC development and progression and identified CXCL9, which influences the immune microenvironment and prognosis of DPHCC and might be new clinically significant biomarkers for predicting prognosis.

Keywords: CXCL9, dual-phenotype hepatocellular carcinoma, whole exome sequencing, RNA sequencing, prognosis


Citation styles

APA
Wang, Y., Wang, X., Huang, X., Zhang, J., Hu, J., Qi, Y., Xiang, B., Wang, Q. (2021). Integrated Genomic and Transcriptomic Analysis reveals key genes for predicting dual-phenotype Hepatocellular Carcinoma Prognosis. Journal of Cancer, 12(10), 2993-3010. https://doi.org/10.7150/jca.56005.

ACS
Wang, Y.; Wang, X.; Huang, X.; Zhang, J.; Hu, J.; Qi, Y.; Xiang, B.; Wang, Q. Integrated Genomic and Transcriptomic Analysis reveals key genes for predicting dual-phenotype Hepatocellular Carcinoma Prognosis. J. Cancer 2021, 12 (10), 2993-3010. DOI: 10.7150/jca.56005.

NLM
Wang Y, Wang X, Huang X, Zhang J, Hu J, Qi Y, Xiang B, Wang Q. Integrated Genomic and Transcriptomic Analysis reveals key genes for predicting dual-phenotype Hepatocellular Carcinoma Prognosis. J Cancer 2021; 12(10):2993-3010. doi:10.7150/jca.56005. https://www.jcancer.org/v12p2993.htm

CSE
Wang Y, Wang X, Huang X, Zhang J, Hu J, Qi Y, Xiang B, Wang Q. 2021. Integrated Genomic and Transcriptomic Analysis reveals key genes for predicting dual-phenotype Hepatocellular Carcinoma Prognosis. J Cancer. 12(10):2993-3010.

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