Evidence map›Paper›PMID 39975552›Full record

ArticleFrontiers in immunology2025

Single-cell sequencing elucidates the mechanism of NUSAP1 in glioma and its diagnostic and prognostic significance.

Meng-Yu Zhao, Zhao-Lei Shen, Hongzhen Dai, Wan-Yan Xu, Li-Na Wang, Yu- Gu, Jie-Hui Zhao, Tian-Hang Yu, Cun-Zhi Wang, Jia-Feng Xu and 4 more

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 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. The role and therapeutic value of NUSAP1 in human cancers.Journal of translational medicine · 2025
    Review
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

14 authors.

Meng-Yu Zhao *Department of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Zhao-Lei Shen *Department of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Hongzhen Dai *Department of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Wan-Yan XuSchool of Nursing, Anhui Medical University, Hefei, China.
Li-Na WangSchool of Nursing, Anhui Medical University, Hefei, China.
Yu- GuSchool of Nursing, Anhui Medical University, Hefei, China.
Jie-Hui ZhaoSchool of Nursing, Anhui Medical University, Hefei, China.
Tian-Hang YuDepartment of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Cun-Zhi WangDepartment of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Jia-Feng XuDepartment of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Guan-Jun ChenResearch and Experiment Center of Anhui Medical University, Anhui Medical University, Hefei, China.
Dong-Hui ChenDepartment of Neurosurgery, Lu'an People's Hospital, Luan, China.
Wen-Ming HongDepartment of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Fang ZhangSchool of Nursing, Anhui Medical University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Personalized precision medicine (PPPM) in cancer immunology and oncology is a rapidly advancing field with significant potential. Gliomas, known for their poor prognosis, rank among the most lethal brain tumors. Despite advancements, there remains a critical need for precise, individualized treatment strategies. Methods: We conducted a comprehensive analysis of RNA-seq and microarray data from the TCGA and GEO databases, supplemented by single-cell RNA sequencing (scRNA-seq) data from glioma patients. By integrating single-cell sequencing analysis with foundational experiments, we investigated the molecular variations and cellular interactions within neural glioma cell subpopulations during tumor progression. Results: Our single-cell sequencing analysis revealed distinct gene expression patterns across glioma cell subpopulations. Notably, differentiation trajectory analysis identified NUSAP1 as a key marker for the terminal subpopulation. We found that elevated NUSAP1 expression correlated with poor prognosis, prompting further investigation of its functional role through both cellular and animal studies. Conclusions: NUSAP1-based risk models hold potential as predictive and therapeutic tools for personalized glioma treatment. In-depth exploration of NUSAP1's mechanisms in glioblastoma could enhance our understanding of its response to immunotherapy, suggesting that targeting NUSAP1 may offer therapeutic benefits for glioma patients.

Indexed as

Biomarkers, TumorBrain NeoplasmsGliomaSingle-Cell AnalysisAnimalsCell Line, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMicePrognosisBiomarkers, Tumorcancer immunologygliomamolecular mechanismsNUSAP1single-cell sequencing

Identifiers

PMID39975552
PMCPMC11835852

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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.