Comprehensive multi-omics analysis reveals RUNX1's prognostic value, immune associations, and MUC13-Mediated mechanistic role in hepatocellular carcinoma pathogenesis

Hepatocellular carcinoma (HCC) is a biologically and clinically heterogeneous malignancy, posing major challenges for early diagnosis, prognostic prediction, and therapeutic intervention. The Runt-related transcription factor (RUNX) family, comprising RUNX1, RUNX2, and RUNX3, plays essential roles in cellular processes and contribute to the pathogenesis of numerous malignancies. This study aims to elucidate their role in tumor progression and its clinical implications. We performed an integrative pan-cancer multi-omics analysis across 33 cancer types to characterize RUNX family expression patterns, prognostic associations, and immune correlations using publicly available datasets. Expression and functional roles were experimentally validated in HCC through <i>in vitro</i> and <i>in vivo</i> assays. Relationships between <i>RUNX1</i> expression and clinical stage, immune subtypes, checkpoint gene expression, immunotherapy sensitivity, and immune-related co-expression networks were assessed. The prognostic significance of <i>RUNX1</i> was determined using Kaplan-Meier survival analysis, Cox regression, and ROC curve evaluation. Transcriptional regulation was investigated via bioinformatic tools, database interrogation, and chromatin immunoprecipitation (ChIP) assays. Functional studies were conducted to determine the effects of <i>RUNX1</i> knockdown on HCC cell proliferation, migration, and invasion. <i>RUNX1</i> was upregulated in multiple tumor types, including breast, lung, liver, and brain cancers, and its elevated expression correlated with poorer overall (OS) and disease-specific survival (DSS). In HCC, RUNX1 expression was significantly associated with advanced clinical stage, distinct immune subtypes, and altered checkpoint expression profiles, indicating a role in shaping the tumor immune microenvironment. Mechanistically, <i>MUC13</i> was identified as a direct transcriptional target of <i>RUNX1</i>, as confirmed by promoter-binding prediction, ChIP validation, and dual-luciferase assays. <i>RUNX1</i> knockdown suppressed HCC cell proliferation, migration, and invasion by attenuating Wnt/β-catenin/EMT signaling activity. These findings highlight RUNX1 as a potential prognostic biomarker and therapeutic target, offering mechanistic insight into HCC pathogenesis and avenues for improved precision oncology.

Authors

Institutions

Publication Details

Journal
Biochemistry and Biophysics Reports
Published
2026-02-02
DOI
https://doi.org/10.1016/j.bbrep.2026.102446
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive multi-omics analysis reveals RUNX1's prognostic value, immune associations, and MUC13-Mediated mechanistic role in hepatocellular carcinoma pathogenesis

Tahani Ahmad ALMatrafi
Biochemistry and Biophysics Reports
Acute Myeloid Leukemia Research
article

Comprehensive multi-omics analysis reveals RUNX1's prognostic value, immune associations, and MUC13-Mediated mechanistic role in hepatocellular carcinoma pathogenesis

Tahani Ahmad ALMatrafi
article en

Abstract

Hepatocellular carcinoma (HCC) is a biologically and clinically heterogeneous malignancy, posing major challenges for early diagnosis, prognostic prediction, and therapeutic intervention. The Runt-related transcription factor (RUNX) family, comprising RUNX1, RUNX2, and RUNX3, plays essential roles in cellular processes and contribute to the pathogenesis of numerous malignancies. This study aims to elucidate their role in tumor progression and its clinical implications. We performed an integrative pan-cancer multi-omics analysis across 33 cancer types to characterize RUNX family expression patterns, prognostic associations, and immune correlations using publicly available datasets. Expression and functional roles were experimentally validated in HCC through <i>in vitro</i> and <i>in vivo</i> assays. Relationships between <i>RUNX1</i> expression and clinical stage, immune subtypes, checkpoint gene expression, immunotherapy sensitivity, and immune-related co-expression networks were assessed. The prognostic significance of <i>RUNX1</i> was determined using Kaplan-Meier survival analysis, Cox regression, and ROC curve evaluation. Transcriptional regulation was investigated via bioinformatic tools, database interrogation, and chromatin immunoprecipitation (ChIP) assays. Functional studies were conducted to determine the effects of <i>RUNX1</i> knockdown on HCC cell proliferation, migration, and invasion. <i>RUNX1</i> was upregulated in multiple tumor types, including breast, lung, liver, and brain cancers, and its elevated expression correlated with poorer overall (OS) and disease-specific survival (DSS). In HCC, RUNX1 expression was significantly associated with advanced clinical stage, distinct immune subtypes, and altered checkpoint expression profiles, indicating a role in shaping the tumor immune microenvironment. Mechanistically, <i>MUC13</i> was identified as a direct transcriptional target of <i>RUNX1</i>, as confirmed by promoter-binding prediction, ChIP validation, and dual-luciferase assays. <i>RUNX1</i> knockdown suppressed HCC cell proliferation, migration, and invasion by attenuating Wnt/β-catenin/EMT signaling activity. These findings highlight RUNX1 as a potential prognostic biomarker and therapeutic target, offering mechanistic insight into HCC pathogenesis and avenues for improved precision oncology.

Biochemistry and Biophysics ReportsVol. 45
King Saud University (SA)
No poverty
Openalex Percentile: Top 72%
Acute Myeloid Leukemia Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.