Evidence map›Paper›PMID 40890473›Full record

ArticleScientific reports2025

Fatty acid-binding proteins as potential biomarkers for human cancer prognosis.

Yuting Guan, Jiaxin Tan, Zudong Xu, Xiaohuan Liu, Pingyan Wang, Guozhi Liang, Qiongguang Huang

Abstract read
In one paragraph

Article in Scientific reports, 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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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

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3 · Its place in the literature

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4 · The record

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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

7 authors.

Yuting GuanDepartment of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Jiaxin TanDepartment of Clinical Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Zudong XuGuangxi Medical University, Nanning, Guangxi, China.
Xiaohuan LiuGuangxi Medical University, Nanning, Guangxi, China.
Pingyan WangGuangxi Medical University, Nanning, Guangxi, China.
Guozhi LiangDivision of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
Qiongguang HuangDivision of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China. huangqiongguang@stu.gxmu.edu.cn.

Funding

Natural Science Foundation of Guangxi Province 2025GXNSFBA069041
6 · The paper itself

Abstract

Fatty acid-binding proteins (FABPs) play a pivotal role in the malignant progression of numerous human cancers. However, the precise functions of FABP family genes in different cancer types remain incompletely elucidated. The data used in this study were acquired from The Cancer Genome Atlas (TCGA). These data were employed to analyze the expression levels of FABP family genes across different cancer types and their association with sensitivity to anticancer drugs. Survival analysis of FABP family genes was performed using the Kaplan-Meier method. In addition, we investigated the correlation of immune subtypes, tumor microenvironment, and stemness score with pan-cancer. We further explored the role of FABP family genes in hepatocellular carcinoma (HCC), copy number variation patterns, and clinical prognostic value. Finally, we evaluated the expression of FABP family genes in human HCC samples using real-time quantitative PCR. The results showed different degrees of genetic heterogeneity among FABP family members. The expression of FABP varies widely in most cancers and paracancerous tissues, especially BRCA and HCC. The expression of the FABP family is positively correlated with the sensitivity of most anticancer drugs. We discovered the predictive prognostic value of FABP family genes through survival analyses. In pan-cancer, there was a significant variation in the expression of the FABP family across six distinct immunotypes. These genes were strongly associated with immune subtypes, stemness scores, and tumor microenvironment. The pattern of genetic variation of the FABP family in HCC was mainly amplification and deletion, with FABP4, FABP5, FABP9, and FABP12 having significantly higher frequencies of amplified genes than the other members. Our findings provide new guidance for the precision diagnosis and treatment of FABPs in pan-cancer. FABP3 and FABP5 may be potential prognostic factors for HCC, but further research is needed to confirm.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularFatty Acid-Binding ProteinsLiver NeoplasmsNeoplasmsDNA Copy Number VariationsGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimatePrognosisTumor MicroenvironmentBiomarkers, TumorFatty Acid-Binding ProteinsFatty acid-binding proteinsHepatocellular carcinomaImmune subtypePan-cancerPrognosis

Identifiers

PMID40890473
PMCPMC12402468

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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.