Evidence map›Paper›PMID 40189725›Full record

ArticleDiscover oncology2025

FADS1, a lipid metabolism-related diagnostic biomarker in KIRC.

Tianmin Yang, Kai Sun, Fan Peng, Yuhu Hao, Qingjie Bai, Hanpu Yu, Qinghua Xia

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

The trial behind it

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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

2 citing papers in PubMed.

  1. Review
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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

7 authors.

Tianmin Yang *Department of Urology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China.
Kai Sun *Department of Urology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, China.
Fan Peng *Department of Urology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, China.
Yuhu HaoDepartment of Urology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, China.
Qingjie BaiDepartment of Urology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China.
Hanpu YuDepartment of Urology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China.
Qinghua XiaDepartment of Urology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China. xqh221005@163.com.

Funding

National Natural Science Foundation of China No.82272713Natural Science Foundation of Shandong Province (No.ZR2021LZY003)
6 · The paper itself

Abstract

backgroundKidney renal clear cell carcinoma (KIRC), the predominant subtype of renal cell carcinoma, poses significant health risks. The rapid progression and resistance to targeted therapies highlight the need for new tumor markers and therapeutic targets. FADS1, part of the fatty acid desaturase family, regulates fatty acid synthesis and participates in lipid metabolism. However, its role in KIRC is not well-studied.

methodsThe study utilized bioinformatics analysis through the TCGA database and other platforms to identify FADS1 expression levels in KIRC. Twenty pairs of KIRC clinical tissue samples were used for qPCR verification. Meanwhile, eight pairs of KIRC clinical tissue samples were used for Western blot verification. Conduct statistical evaluation, including Wilcoxon rank sum test and Kaplan-Meier analysis, to explore the correlation between FADS1 expression and clinical pathological features and immune infiltration. In addition, in vitro experiments were conducted to confirm the biological function of FADS1.

resultsThe findings indicated that FADS1 is highly expressed in KIRC and contributes to tumor development. FADS1's role in lipid metabolism leads to lipid accumulation within tumor cells, which may influence the occurrence and progression of KIRC. TIMER analysis revealed a correlation between FADS1 expression and the infiltration levels of various immune cells, indicating its potential role in modulating immune characteristics.

conclusionFADS1 could serve as a prognostic biomarker associated with immunity in KIRC, highlighting its potential as a diagnostic and therapeutic target. The study underscores the importance of further research into FADS1's role in lipid metabolism and immune infiltration to develop effective therapeutic strategies.

Indexed as

BiomarkerFADS1Immune infiltrationKIRCPrognosis

Identifiers

PMID40189725
PMCPMC11973044

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