Evidence map›Paper›PMID 40301505›Full record

ArticleNPJ precision oncology2025

Diagnostic and prognostic potential of cell-free RNAs in cerebrospinal fluid and plasma for brain tumors.

Jinyong Huang, Jinxia Zhou, Jun Wang, Yonghao Yi, Lu Zhang, Shuyong Qiu, Yuanyan Tan, Qianwen Guo, Feilong Zhao, Xinying Li and 6 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

16 authors.

Jinyong Huang *Shenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, China.
Jinxia Zhou *Department of Neurology, Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China.
Jun WangShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, China.
Yonghao YiShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, China.
Lu ZhangShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, China.
Shuyong QiuShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, China.
Yuanyan TanShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, China.
Qianwen GuoShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, China.
Feilong ZhaoShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, China.
Xinying LiShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, China.
Yanqin NiuShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, China.
Haoyu LiDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Changwu WuDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Kang KangDepartment of Biochemistry and Molecular Biology, Shenzhen University Medical School, Shenzhen, Guangdong, China.
Qing LiuDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China. liuqingdr@csu.edu.cn.
Deming GouShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, China. dmgou@szu.edu.cn.ORCID http://orcid.org/0000-0002-3312-841X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82170070National Natural Science Foundation of China (National Science Foundation of China) 82172834National Natural Science Foundation of China (National Science Foundation of China) 82200067National Natural Science Foundation of China (National Science Foundation of China) 82241022National Natural Science Foundation of China (National Science Foundation of China) 82470056
6 · The paper itself

Abstract

Systematic assessment of the clinical applicability of cell-free RNAs (cfRNAs), which includes broader RNA categories beyond microRNAs, for patients with brain tumors remains largely unexplored due to the lack of sensitive profiling technologies. Our study endeavors to bridge this gap by utilizing an optimized cell-free transcriptome profiling technique that we have recently developed. We comprehensively profiled the cell-free transcriptome in plasma and cerebrospinal fluid (CSF) samples from a total of 85 patients with glioma, meningioma, or tumor-free central nervous system diseases. We identified 16 cfRNA signatures in CSF with robust performance in brain tumor detection (test set AUC = 0.94; validation set AUC = 1). The integration of CSF and plasma-derived cfRNAs outperformed individual analyses using either CSF or plasma candidates for the classification of glioma (test set AUC = 0.94; validation set AUC = 0.85) and meningioma (test set AUC = 0.92; validation set AUC = 0.83). Additionally, we identified 33 CSF and 3 plasma cfRNAs with prognostic significance for postoperative patient outcomes. Multivariate analysis showed that cfRNA-based risk scores (Hazard ratio=9.9) outperformed traditional risk factors in predicting recurrence-free survival. Importantly, our findings in liquid biopsies are consistent with results from primary tumor tissues. By delving into the diagnostic and prognostic implications of cfRNA signatures in CSF and plasma, our study paves the way for improved diagnostic precision and personalized therapeutic interventions for brain tumor patients.

Identifiers

PMID40301505
PMCPMC12041490

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.