Systematic analysis of the expression profiles and prognostic values of the FAM72 family in liver cancer

Family with sequence similarity 72 (FAM72) plays a crucial role in the functions of neural stem cells, specifically in promoting the self-renewal capabilities of neural progenitor cells. The FAM72 family members FAM72A-D have been shown to play a role in tumorigenicity. However, their expression and prognostic significance in liver cancer remain unknown. In this study, we used bioinformatics analyses to assess the expression and prognostic relevance of FAM72A-D in liver cancer. The expression levels of FAM72A-D were markedly elevated in liver cancer tissues compared with normal tissues. FAM72A-D expression correlated with advanced clinical stage, high histological grade, and unfavorable prognosis in patients with liver cancer. Single-cell RNA sequencing results suggested that FAM72A-D are predominantly present in proliferative T cells. We examined genetic alterations in FAM72A-D and found that gene mutations were linked to low overall survival rates in patients with liver cancer. We further developed a robust FAM72 gene signature to predict the prognosis of patients with liver cancer, and the gene signature was associated with immune infiltration. Collectively, these findings indicate the involvement of the FAM72 family in liver tumorigenesis and suggest its potential utility as a biomarker for adverse prognostic outcomes.

Authors

Institutions

Publication Details

Journal
Biochemistry and Biophysics Reports
Published
2025-11-25
DOI
https://doi.org/10.1016/j.bbrep.2025.102358
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Systematic analysis of the expression profiles and prognostic values of the FAM72 family in liver cancer

Yajun Zou, Kangjie Zhang, Teng Long, Jianlin Zhang et al.
Biochemistry and Biophysics Reports
Ferroptosis and cancer prognosis
article

Systematic analysis of the expression profiles and prognostic values of the FAM72 family in liver cancer

Yajun Zou, Kangjie Zhang, Teng Long, Jianlin Zhang, Xingyu Wang, Weihao Kong
article en

Abstract

Family with sequence similarity 72 (FAM72) plays a crucial role in the functions of neural stem cells, specifically in promoting the self-renewal capabilities of neural progenitor cells. The FAM72 family members FAM72A-D have been shown to play a role in tumorigenicity. However, their expression and prognostic significance in liver cancer remain unknown. In this study, we used bioinformatics analyses to assess the expression and prognostic relevance of FAM72A-D in liver cancer. The expression levels of FAM72A-D were markedly elevated in liver cancer tissues compared with normal tissues. FAM72A-D expression correlated with advanced clinical stage, high histological grade, and unfavorable prognosis in patients with liver cancer. Single-cell RNA sequencing results suggested that FAM72A-D are predominantly present in proliferative T cells. We examined genetic alterations in FAM72A-D and found that gene mutations were linked to low overall survival rates in patients with liver cancer. We further developed a robust FAM72 gene signature to predict the prognosis of patients with liver cancer, and the gene signature was associated with immune infiltration. Collectively, these findings indicate the involvement of the FAM72 family in liver tumorigenesis and suggest its potential utility as a biomarker for adverse prognostic outcomes.

Biochemistry and Biophysics ReportsVol. 44
Anhui Medical University (CN), Sichuan University (CN), West China Medical Center of Sichuan University (CN), West China Hospital of Sichuan University (CN), First Affiliated Hospital of Anhui Medical University (CN)
Openalex Percentile: Top 42%
Ferroptosis and cancer prognosis
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.