Fatty acid β-oxidation-associated prognostic model in gastric cancer and functional validation of IL-6 as a potential therapeutic target

Gastric cancer (GC) poses a significant health threat, and alterations in Fatty acid β-oxidation (FAO) may influence its progression. However, the precise mechanisms underlying this association remain unclear. FAO-related genes were analyzed using transcriptomic datasets from databases of GEO and TCGA. Totally 160 FAO-associated genes were identified, and a risk scoring model was subsequently established to stratify patients into groups of low- and high-risk. Immune characteristics, drug sensitivities, and hub genes, including IL-6, were assessed. Subsequently, immunoblotting and immunohistochemistry were performed on GC cell lines and tissue samples to evaluate IL-6 expression. Analysis of the TCGA and GEO databases revealed a FAO-related gene signature comprising ACADS, ACO2, CPT2, SLC22A5, AOC3, CD36, CIDEA, G0S2, GABARAPL1, and SERINC1. We also examined gene mutations and constructed a prognostic risk scoring model with validation achieved through a nomogram to predict gastric cancer risk. Immune infiltration analysis and drug sensitivity testing (e.g. AG-014699, Axitinib, BX-795, and Cisplatin) were also conducted. IL-6 emerged as a core gene with significant expression difference across cellular and tissue levels. FAO plays a critical role in the prognosis of GC, and IL-6 may serve as a key biomarker for diagnosis and therapeutic strategies.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-05-02
DOI
https://doi.org/10.1038/s41598-026-50112-1
Primary Topic
Cancer, Lipids, and Metabolism
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fatty acid β-oxidation-associated prognostic model in gastric cancer and functional validation of IL-6 as a potential therapeutic target

Jiayin Du, Xuqi Li, Yunhua Wu, Yifan Qiao et al.
Scientific Reports
Cancer, Lipids, and Metabolism
article

Fatty acid β-oxidation-associated prognostic model in gastric cancer and functional validation of IL-6 as a potential therapeutic target

Jiayin Du, Xuqi Li, Yunhua Wu, Yifan Qiao, Mengke Zhu, RenJianZhi Zhang, Shuting Yang, Xuetao Yuan, Rui Zhang, Gan Li, Chao Qu, Xuejun Sun
article en

Abstract

Gastric cancer (GC) poses a significant health threat, and alterations in Fatty acid β-oxidation (FAO) may influence its progression. However, the precise mechanisms underlying this association remain unclear. FAO-related genes were analyzed using transcriptomic datasets from databases of GEO and TCGA. Totally 160 FAO-associated genes were identified, and a risk scoring model was subsequently established to stratify patients into groups of low- and high-risk. Immune characteristics, drug sensitivities, and hub genes, including IL-6, were assessed. Subsequently, immunoblotting and immunohistochemistry were performed on GC cell lines and tissue samples to evaluate IL-6 expression. Analysis of the TCGA and GEO databases revealed a FAO-related gene signature comprising ACADS, ACO2, CPT2, SLC22A5, AOC3, CD36, CIDEA, G0S2, GABARAPL1, and SERINC1. We also examined gene mutations and constructed a prognostic risk scoring model with validation achieved through a nomogram to predict gastric cancer risk. Immune infiltration analysis and drug sensitivity testing (e.g. AG-014699, Axitinib, BX-795, and Cisplatin) were also conducted. IL-6 emerged as a core gene with significant expression difference across cellular and tissue levels. FAO plays a critical role in the prognosis of GC, and IL-6 may serve as a key biomarker for diagnosis and therapeutic strategies.

Scientific Reports
Shanxi Medical University (CN), Shaanxi Provincial People's Hospital (CN), First Affiliated Hospital of Xi'an Jiaotong University (CN), Shanxi Provincial People’s Hospital (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 11%
Cancer, Lipids, and Metabolism
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.