Evidence map›Paper›PMID 40197314›Full record

ArticleHereditas2025

Identification of fatty acid metabolism-related genes in the tumor microenvironment of breast cancer by a development and validation of prognostic index signature.

Zhaofeng Ma, Man Zheng, Pulin Liu

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In one paragraph

Article in Hereditas, 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Zhaofeng MaShandong University of Traditional Chinese Medicine, Jinan, Shandong Province, China.
Man ZhengDongying People's Hospital (Dongying Hospital of Shandong Provincial Hospital Group), Dongying, Shandong Province, 257091, China.
Pulin LiuShandong University of Traditional Chinese Medicine, Jinan, Shandong Province, China. dr.liupulin@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer (BRCA) is a malignancy originating in the breast cells, characterized by a poor overall survival rate. Post-resection, chemotherapy is commonly recommended as a primary therapeutic approach; however, its efficacy remains limited. Recent advancements in lipidomics and metabolomics have provided new insights into the intricate landscape of fatty acid metabolism (FAM) and the fatty acid lipidome in both health and disease. A growing body of evidence suggests that dysregulations in FAM and fatty acid levels play a significant role in cancer initiation and progression. Despite these advances, the precise mechanisms through which FAM mediates the anti-cancer effects of lobaplatin in BRCA remain poorly understood and warrant further investigation.

methodsGEO and TCGA data were classified into two types. We aimed to show how FAMGs influence immune function, immune checkpoints, and m6a in BRCA. A co-expression analysis discovered that gene expression is strongly connected to pyroptosis. The TCGA gathered information about mRNAsi, gene mutations, CNV, and clinical features.

resultsIn the low-risk group, overall survival (OS) is longer. GSEA was utilized to identify immune and tumor-related pathways. Most of the FAMG-derived prognostic signatures predominantly modulate immunological and oncogenic signaling pathways, including the Wnt, neurotrophin, chemokine, and calcium signaling cascades. Among the genes involved are CEL, WT1, and ULBP2. Expression levels varied as well. The prognostic model, CNVs, single nucleotide polymorphism (SNP), and drug sensitivity all pointed to the gene.

conclusionsThe primary objective of this study is to identify and validate BRCA-associated FAMGs that can serve as prognostic indicators and provide insights into immune system function, while also offering evidence to support the development of fatty acid metabolism-related molecularly targeted therapeutics. Consequently, FAMGs and their interactions with the immune system, as well as their role in BRCA, may emerge as promising therapeutic targets.

Indexed as

Breast NeoplasmsFatty AcidsTumor MicroenvironmentFemaleGene Expression Regulation, NeoplasticHumansLipid MetabolismPrognosisFatty AcidsBioinformaticBreast cancer (BRCA)CNVFatty acid metabolism genes (FAMGs)Immunity, SNPPredicting model

Identifiers

PMID40197314
PMCPMC11974137

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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.