Evidence map›Paper›PMID 40539074›Full record

ArticleFrontiers in immunology2025

Cellular hierarchy framework based on single-cell and bulk RNA sequencing reveals fatty acid metabolic biomarker MYDGF as a therapeutic target for ccRCC.

Ning Wang, Ziyu Xu, Lina Zhang, Yanfang Lu, Yanliang Wang, Lei Yan, Huixia Cao, Limeng Wang, Fengmin Shao

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. 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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5 · Who and what money

Authors and funding

9 authors.

Ning Wang *Department of Nephrology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China.
Ziyu Xu *Department of Nephrology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China.
Lina ZhangDepartment of Nephrology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China.
Yanfang LuDepartment of Nephrology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China.
Yanliang WangDepartment of Nephrology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China.
Lei YanDepartment of Nephrology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China.
Huixia CaoDepartment of Nephrology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China.
Limeng WangDepartment of Nephrology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China.
Fengmin ShaoDepartment of Nephrology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fatty acid metabolism (FAM) reprogramming is a prominent feature of clear cell renal cell carcinoma (ccRCC). Nevertheless, the effect of FAM reprogramming on the heterogeneity and prognosis of ccRCC individuals remains insufficiently understood. Methods: We utilized single-cell sequencing and spatial transcriptomics to investigate the heterogeneity of FAM in ccRCC comprehensively. Functional enrichment algorithms, including AUCell, UCell, singscore, ssGSEA, and AddModuleScore, along with hdWGCNA analysis, were used to identify hub genes influencing high FAM of ccRCC. Machine learning methods were then applied to pinpoint the optimal feature gene. The function of the selected genes in FAM was validated through clinical samples and cellular functional experiments. Results: The results revealed significant upregulation of FAM in malignant epithelial cells. Through five distinct enrichment scoring methods and hdWGCNA analysis, we redefined a gene set related to increased FAM at the single-cell level. By the integration of this gene set with bulk transcriptomic data and the application of machine-learning algorithms, we found four candidate genes-MYDGF, ZNHIT1, HMGN3, and ARL6IP4-that were linked to ccRCC progression. Bulk RNA sequencing validated their increased expression in ccRCC individuals, underscoring their diagnostic and prognostic potential. Single-cell analysis further revealed that these genes were primarily upregulated in malignant epithelial cells, emphasizing their cell-specific roles in ccRCC. It was verified that MYDGF could promote cell proliferation, migration and invasion while inhibiting cell apoptosis. Functional experiments further confirmed that MYDGF is a key FAM-related biomarker that enhances lipid deposition by suppressing fatty acid oxidation, thereby accelerating tumor progression. Conclusions: MYDGF was identified as a FAM-related oncogenic biomarker that promotes ccRCC progression by inhibiting fatty acid oxidation. Our findings elucidated the cellular hierarchy of ccRCC from the perspective of FAM reprogramming and may offer new insights and therapeutic targets for future ccRCC treatments.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellFatty AcidsKidney NeoplasmsCell Line, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansSequence Analysis, RNASingle-Cell AnalysisTranscriptomeBiomarkers, TumorFatty AcidsccRCCfatty acid metabolismmachine learningMYDGFScRNA-seq

Identifiers

PMID40539074
PMCPMC12176760

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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.