Evidence map›Paper›PMID 40535100›Full record

ArticleOncology letters2025

Propionate metabolism-related genes demonstrate the potential to serve as prognostic and immunotherapeutic markers in osteosarcoma.

Wei Liu, Ze Xu, Mingdong Li, Nan Zhu, Shuo Zhang, Qilun Zhang, Junfeng Zhan

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Article in Oncology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Wei LiuDepartment of Orthopedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230601, P.R. China.
Ze XuDepartment of Orthopedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230601, P.R. China.
Mingdong LiDepartment of Orthopedics and Traumatology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570311, P.R. China.
Nan ZhuDepartment of Orthopedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230601, P.R. China.
Shuo ZhangDepartment of Orthopedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230601, P.R. China.
Qilun ZhangDepartment of Central Laboratory, The Third People's Hospital of Bengbu, Bengbu, Anhui 233000, P.R. China.
Junfeng ZhanDepartment of Orthopedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230601, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the metabolic processes in osteosarcoma (OS) is key for the development of effective diagnostic and therapeutic modalities. Propionate metabolism has been found to have a crucial role in certain cancers, highlighting its potential relevance in OS. The aim of the present study was to identify novel prognostic indicators for OS based on gene expression profiles and clinical data. Differentially expressed genes (DEGs) in OS and propionate metabolism-associated genes were identified by the analysis of public datasets. Subsequently, functional enrichment analysis was performed and a protein-protein interaction network was constructed. Least absolute shrinkage and selection operato-Cox regression analysis was then conducted to construct a risk model, which was used to establish high- and low-risk patient groups, and the association of the risk model with immune cell infiltration and immunotherapy was assessed. Furthermore, a prognostic nomogram was constructed. In addition, cell assays were conducted to evaluate the influence of prognostic gene knockdown on OS cells. The bioinformatics analysis led to the identification of 18 DEGs associated with propionate metabolism in OS, and the risk score model revealed two prognostic genes, namely 4-aminobutyrate aminotransferase (ABAT) and aldehyde dehydrogenase 7 family member A1 (ALDH7A1). Immune infiltration analysis highlighted a significant difference between high- and low-risk groups, indicating a potential impact on the response to immune therapy. In addition, the propionate metabolism-related gene signatures effectively distinguished OS patients with distinct clinical outcomes and tumor microenvironments, and single-cell analysis revealed associations of ABAT and ALDH7A1 with immune cell infiltration. Furthermore, cell assays revealed that the knockdown of ABAT promoted OS cell growth, migration and invasion. In conclusion, the present study emphasized the relevance of propionate metabolism in OS and introduced a novel gene signature for clinical outcome prediction. Furthermore, the identified genes, ABAT and ALDH7A1, may hold promise as potential therapeutic targets.

Indexed as

4-aminobutyrate aminotransferasealdehyde dehydrogenase 7 family member A1immunotherapyosteosarcomapropionate metabolism

Identifiers

PMID40535100
PMCPMC12175141

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