Evidence map›Paper›PMID 42220493›Full record

ArticleFrontiers in immunology2026

Comprehensive analysis of fatty acid desaturase 3 in clear cell renal cell carcinoma: insights into tumor progression, immune microenvironment, and clinical outcomes.

Si-Tao Chen, Duan-Rui Zhou, Yun-Jun Ge, Lei Chang, Shu-Hui Guo, Guo-Sheng Wu, Ning-Han Feng

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Si-Tao ChenDepartment of Urology, Jiangnan University Medical Center, Wuxi, China.
Duan-Rui ZhouWuxi School of Medicine, Jiangnan University, Wuxi, China.
Yun-Jun GeWuxi School of Medicine, Jiangnan University, Wuxi, China.
Lei ChangWuxi School of Medicine, Jiangnan University, Wuxi, China.
Shu-Hui GuoSchool of Health and Medicine, Wuxi Taihu University, Wuxi, China.
Guo-Sheng WuWuxi School of Medicine, Jiangnan University, Wuxi, China.
Ning-Han FengDepartment of Urology, Jiangnan University Medical Center, Wuxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Clear cell renal cell carcinoma (ccRCC or KIRC) is a malignant neoplasm characterized by reprogrammed lipid metabolism. Fatty acid desaturase 3 (FADS3), a sphingoid Δ14Z desaturase, is required for the synthesis of unsaturated fatty acids in tumor biology. However, the role of FADS3 in ccRCC progression and prognosis and in modulating the tumor immune microenvironment (TIME) remains to be elucidated. Methods: The ccRCC transcriptomic datasets were obtained from the TCGA, GEO, and GTEx databases. Mendelian randomization (MR) and single-cell RNA sequencing analyses were used to investigate the associations of FADS3 with lipid metabolism, and differential expression genes in ccRCC. Bioinformatics analysis was also used to investigate the association of FADS3 expression with tumor progression, prognosis, TIME, and potential pathogenic mechanism in ccRCC. FADS3 expression in ccRCC cell lines was confirmed by qRT-PCR, western blotting, RNA-Seq. FADS3 roles in ccRCC were assessed by functional assays including cell proliferation, migration, invasion, and colony formation using wild-type and FADS3-knockdown cell lines. Results: Lipid metabolism was found to be upregulated in ccRCC tumor tissues based on comprehensive bioinformatic analysis. FADS3 was among the upregulated genes associated with lipid metabolism, which was expressed not only in ccRCC tumor cells but also in cells of the TIME, such as tumor-associated macrophages (TAMs). High FADS3 expression remodeled the TIME and predicted poor prognosis in ccRCC. Functional assays demonstrated that FADS3 knockdown markedly suppressed ccRCC cell proliferation, migration and invasion. Transcriptomic analyses further suggested that FADS3 may promote ccRCC progression through activation of oncogenic and metabolic signaling pathways, such as the PI3K/Akt pathway. Conclusion: FADS3 is a lipid metabolism-associated oncogenic driver in ccRCC, and its upregulation remodels the TIME and predicts poor prognosis. FADS3 may represent a potential therapeutic target for ccRCC treatment.

Indexed as

Carcinoma, Renal CellFatty Acid DesaturasesKidney NeoplasmsTumor MicroenvironmentCell Line, TumorCell MovementCell ProliferationDisease ProgressionGene Expression Regulation, NeoplasticHumansLipid MetabolismPrognosisFatty Acid Desaturasesclear cell renal cell carcinomafatty acid desaturase 3lipid metabolismtumor immune microenvironmenttumor progression and prognosis

Identifiers

PMID42220493
PMCPMC13215938

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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.