Integrative Functional Genomics Implicated the Key T-/B-Cell Deficiency Regulator RAG1 in Transarterial Chemoembolization of Hepatocellular Carcinoma

The Allelic Expression of RNA Editing Gene ADARB1 in Hepatocellular Carcinoma Treated with Transarterial Chemoembolization

Introduction

Transarterial chemoembolization (TACE) is the commonly used therapy of unresectable hepatocellular carcinoma (HCC), though the prognosis of different TACE-treated HCC patients varies, which may be due to the heterogeneity of HCC tumors caused by genetic variants and epigenetic changes such as RNA editing. There is dysregulated RNA adenosine-to-inosine (A-to-I) editing in HCC and RNA-edited genes are involved in the epigenetic process. It remains unclear how genetic variants of RNA editing genes affect the prognosis of HCC cases treated by TACE.

Methods

In this study, we examined 28 potentially functional single-nucleotide polymorphisms (SNPs) of four RNA editing genes (ADARB1, ADAR, ADARB2 and AIMP2) in two independent TACE patient cohorts.

Results

We found that ADARB1 rs1051367 and rs2253763 polymorphisms were markedly associated with the prognosis of HCC cases who received TACE in both cohorts. In HCC cells, the rs2253763 C-to-T change in ADARB1 3'-untranslated region attenuated its binding with miR-542-3p and allele-specifically elevated ADARB1 levels. Consistent with this, patients carrying the rs2253763 C allele showed reduced ADARB1 expression in cancer tissues and notably shorter survival after TACE therapy in comparison with individuals with the T allele. Ectopic ADARB1 profoundly enhanced the efficacy of oxaliplatin, one of the common TACE chemotherapeutic drugs.

Discussion

Our findings highlighted the value of ADARB1 polymorphisms as prognostic markers in TACE therapy for HCC patients. Notably, our findings revealed that targeting the ADARB1 enzyme may be a promising therapeutic strategy in combination with TACE for HCC cases.

Molecular characteristics of novel immune subtypes of HCC based on lncRNAs related to immune disorders

As one of the most malignant cancers and despite various treatment breakthroughs, the prognosis of hepatocellular carcinoma (HCC) remains unsatisfactory. The immune status of the tumor microenvironment (TME) relates closely to HCC progression; however, the mechanism of immune cell infiltration in the TME remains unclear. In this study, we performed a new combination algorithm on lncRNA expression profile data from the TCGA-LIHC cohort to identify lncRNAs related to immune disorders. We identified 20 immune disorder-related lncRNAs and clustered HCC samples based on these lncRNAs. We identified four clusters with differences in immune cell infiltration and immune checkpoint gene expression. We further analyzed differences between groups 1 and 3 and found that the poor prognosis of group 3 may be due to specific and non-specific immunosuppression of the TME, upregulation of immune checkpoint pathways, and activation of tumor proliferation and migration pathways in group 3. We also developed a prognostic model and verified that it has good stability, effectiveness, and prognostic power. This study provides a basis for further exploration of the immune cell infiltration mechanism in HCC, differential HCC prognosis, and improvement of the efficacy of ICIs for the treatment of HCC.