Evidence map›Paper›PMID 41620551›Full record

ArticleNPJ precision oncology2026

ACACA modulates R-loop homeostasis to enhance lipid metabolism and microenvironmental interactions in ccRCC.

Dong Zhang, Xinglin Chen, Xiao He, Minghao Deng, Xiyi Wei, Shuxian Sun, Jian Zhu, Shuijie Shen, Xiao Li, Xinyu Zhai

Abstract read
In one paragraph

Article in NPJ precision oncology, 2026. 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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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. Article
  2. Article
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

10 authors.

Dong Zhang *Department of Urology, Nantong Hospital of Traditional Chinese Medicine, Affiliated Traditional Chinese Medicine Hospital of Nantong University, Nantong, China.
Xinglin Chen *Urology Centre, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xiao He *Department of Dermatology, Peking University Third Hospital, Beijing, China.
Minghao Deng *Department of Urology, Nantong Hospital of Traditional Chinese Medicine, Affiliated Traditional Chinese Medicine Hospital of Nantong University, Nantong, China.
Xiyi WeiDepartment of Urology, The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.
Shuxian SunClinical Medical Research Center, Nantong Hospital of Traditional Chinese Medicine, Affiliated Traditional Chinese Medicine Hospital of Nantong University, Nantong, China.
Jian ZhuDepartment of Urology, Nantong Hospital of Traditional Chinese Medicine, Affiliated Traditional Chinese Medicine Hospital of Nantong University, Nantong, China.
Shuijie ShenClinical Medical Research Center, Nantong Hospital of Traditional Chinese Medicine, Affiliated Traditional Chinese Medicine Hospital of Nantong University, Nantong, China. ssj@ntu.edu.cn.
Xiao LiDepartment of Urology, The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China. leex91@163.com.
Xinyu ZhaiUrology Centre, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China. sgzxy1985@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

R-loops are dynamic nucleic acid structures implicated in genome regulation and instability, yet their contributions to the tumor microenvironment (TME) of clear cell renal cell carcinoma (ccRCC) remain unclear. Here, we integrated publicly available ccRCC transcriptomic and clinical datasets to quantify R-loop-associated activity using single-sample gene set enrichment analysis (ssGSEA) and develop a prognostic model using linear machine-learning algorithms. R-loop activity was elevated in advanced disease and associated with unfavorable outcomes. Among R-loop-related genes, ACACA was prioritized for its dominant contribution across multiple linear prognostic models, alongside its strong association with metabolic reprogramming. Single-cell transcriptomics showed relatively high ACACA expression in malignant cells that functioned as communication hubs with lipid metabolism-related signaling, and spatial transcriptomics confirmed preferential enrichment of ACACA within malignant regions. In vitro and xenograft experiments further demonstrated that ACACA promoted proliferation and migration and suppressed apoptosis, accompanied by reduced R-loop accumulation, enhanced fatty acid metabolism and improved mitochondrial function. Together, these findings identify ACACA as an R-loop-associated metabolic driver connecting genomic stress with lipid reprogramming and TME remodeling in ccRCC, supporting its potential as a prognostic biomarker and therapeutic target.

Identifiers

PMID41620551
PMCPMC12963425

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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.