Evidence map›Paper›PMID 40702462›Full record

ArticleBiological procedures online2025

FNDC5 and ACOX1 as Biomarkers of Peroxisomal Activity with Contrast Outcomes in Colon Adenocarcinoma.

Yuan Hepei, Zeng Jun, Khan Muhammad, Wang Baiyao, Hu Xiaoshan, Wei Hao, Wang Zhaotong, Yuan Yawei

Abstract read
In one paragraph

Article in Biological procedures online, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yuan Hepei *Department of Radiation Oncology, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, No. 78 Hengzhigang Road, Yuexiu District, Guangzhou, Guangdong, 510095, People's Republic of China.
Zeng Jun *School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, People's Republic of China.
Khan Muhammad *Department of Radiation Oncology, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, No. 78 Hengzhigang Road, Yuexiu District, Guangzhou, Guangdong, 510095, People's Republic of China.
Wang BaiyaoDepartment of Radiation Oncology, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, No. 78 Hengzhigang Road, Yuexiu District, Guangzhou, Guangdong, 510095, People's Republic of China.
Hu XiaoshanDepartment of Internal Medicine of Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, People's Republic of China.
Wei HaoSchool of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, People's Republic of China.
Wang ZhaotongDepartment of Radiation Oncology, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, No. 78 Hengzhigang Road, Yuexiu District, Guangzhou, Guangdong, 510095, People's Republic of China. wzt093@gzucm.edu.cn.
Yuan YaweiDepartment of Radiation Oncology, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, No. 78 Hengzhigang Road, Yuexiu District, Guangzhou, Guangdong, 510095, People's Republic of China. yuanyawei@gzhmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer progression and immune evasion are closely linked to mitochondrial and peroxisomal metabolic reprogramming, yet the role of peroxisomes remains underexplored.

objectiveThis study aims to investigate the contribution of peroxisomal metabolism to colorectal cancer biology and identify potential metabolic vulnerabilities for therapeutic targeting.

methodsTranscriptomic and clinical data from TCGA-COAD and GEO (GSE39582) served as training and validation cohorts. Of 106 shared peroxisome-related genes (PRGs), seven were identified via univariate Cox and refined using LASSO regression to build a prognostic model. Tumor microenvironment features were assessed using ESTIMATE, MCP-counter, and CIBERSORT. Single-cell RNA-seq data (TISCH; EMTAB8107) were used to examine cell-type-specific PRG expression. For experimental validation, qPCR and Western blotting assessed gene expression in colon cancer cell lines. FNDC5 was silenced via siRNA in SW480 and HCT116 cells, followed by CCK-8 and colony formation assays. IHC evaluated protein levels in clinical specimens. Analyses were conducted in R.

resultsA seven-gene PRG risk signature was constructed, including four risk-associated genes: ABCD1 (ATP Binding Cassette Subfamily D Member 1), FNDC5 (Fibronectin Type III Domain Containing 5), HAO2 (Hydroxyacid Oxidase 2), and PEX5L (Peroxisomal Biogenesis Factor 5 Like), as well as three protective genes: ABCD3 (ATP Binding Cassette Subfamily D Member 3), ACOX1 (Acyl-CoA Oxidase 1), and NOS2 (Nitric Oxide Synthase 2). COAD patients were stratified into high- and low-risk groups based on PRG risk signature, with the high-risk group showing significantly worse survival in both cohorts. The high-risk group was linked to advanced stage, higher MSI, CMS4 subtype enrichment, distinct mutation patterns, and increased genome integrity pathway mutations (79% vs. 66%). It also showed greater stromal infiltration, including fibroblasts, endothelial cells, and monocytes. Single-cell RNA-seq confirmed differential PRG expression across tumor, stromal, and immune cells. Among the PRG risk genes, FNDC5 and ACOX1 were identified as key biomarkers. FNDC5 was markedly upregulated in cancer cells, and western blot confirmed its elevated protein levels (p < 0.001). Functional assays following FNDC5 knockdown in SW480 and HCT116 cells demonstrated efficient silencing by qPCR and western blot, significantly reduced cell viability (CCK-8 assay), and impaired colony formation, supporting its role as a potential oncogene in colorectal cancer.

conclusionFNDC5 and ACOX1 were identified as key peroxisome-related biomarkers with opposing roles in colon adenocarcinoma, highlighting peroxisomal metabolism’s contribution to tumor progression. FNDC5 promotes tumor growth, while ACOX1 appears protective, offering potential targets for therapeutic intervention.

Indexed as

Colorectal Cancer (CRC)Fatty Acid MetabolismFibroblastsPeroxisomesTumor Microenvironment (TME)

Identifiers

PMID40702462
PMCPMC12706935

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.