# Multi-omics characterization of RNF157 expression patterns in hepatocellular carcinoma and development of an RNF157-associated prognostic signature

**Authors:** Qingsong Yang, Meng Zhang, Chang-song Ma, Ao Li, Wenjun Zhang

PMC · DOI: 10.3389/fphar.2025.1738424 · 2026-01-22

## TL;DR

This study explores RNF157 expression in liver cancer using multi-omics and single-cell data to develop a prognostic model linked to the tumor microenvironment.

## Contribution

The study introduces a novel RNF157-associated prognostic signature for hepatocellular carcinoma based on single-cell and multi-omics analysis.

## Key findings

- RNF157 shows heterogeneous expression in cancer-associated fibroblasts and tumor-associated macrophages.
- The prognostic model achieved moderate predictive performance with AUC values between 0.65 and 0.78.
- Gene depletion experiments reduced specific TME cell populations, confirming experimental manipulation success.

## Abstract

Hepatocellular carcinoma (HCC) remains a highly lethal malignancy due to tumor heterogeneity and treatment resistance. This study characterized E3 ubiquitin ligase RNF157 expression patterns in HCC through integrated multi-omics and single-cell analysis, developed an RNF157-associated prognostic signature, and explored its relationship with tumor microenvironment (TME) populations.

Clinical and RNA expression data were obtained from TCGA, GEO databases, and scRNA-seq datasets (GSE149614). Protein-protein interaction networks were constructed via STRING database. Based on single-cell analysis revealing RNF157’s heterogeneous expression in cancer-associated fibroblasts (CAFs) and tumor-associated macrophages (TAMs), we performed validation experiments using lentiviral shRNAs targeting FAP in CAFs and CD11b in TAMs. All experiments included appropriate controls with three independent biological replicates.

Single-cell analysis identified significant heterogeneity in HCC samples, with RNF157 showing variable expression across cell types within the TME. The prognostic model demonstrated moderate predictive performance (AUC: 0.65–0.78 for 1–5 years survival). Flow cytometry confirmed successful experimental manipulation of TME populations, with reduced FAP + CAFs (45.54%→22.01%) and CD11b+ TAMs (35.03%→24.18%) following respective gene depletion.

We characterized RNF157 expression patterns in HCC at single-cell resolution and established a prognostic signature with moderate predictive performance requiring independent validation before clinical application.

## Linked entities

- **Genes:** RNF157 (ring finger protein 157) [NCBI Gene 114804], FAP (fibroblast activation protein alpha) [NCBI Gene 2191], ITGAM (integrin subunit alpha M) [NCBI Gene 3684]
- **Diseases:** hepatocellular carcinoma (MONDO:0007256)

## Full-text entities

- **Genes:** MUL1 (mitochondrial E3 ubiquitin protein ligase 1) [NCBI Gene 79594] {aka C1orf166, GIDE, MAPL, MULAN, RNF218}, FAP (fibroblast activation protein alpha) [NCBI Gene 2191] {aka DPPIV, FAPA, FAPalpha, SIMP}, RNF157 (ring finger protein 157) [NCBI Gene 114804], ITGAM (integrin subunit alpha M) [NCBI Gene 3684] {aka CD11B, CR3A, HNA-4, MAC-1, MAC1A, MO1A}
- **Diseases:** cancer (MESH:D009369), HCC (MESH:D006528)

## Figures

10 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12872536/full.md

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Source: https://tomesphere.com/paper/PMC12872536