Evidence map›Paper›PMID 39882240›Full record

ArticleFrontiers in immunology2024

Characterization of NOD-like receptor-based molecular heterogeneity in glioma and its association with immune micro-environment and metabolism reprogramming.

Chunlin Lu, Huihao Ma, Jie Wang, Fei Sun, Mingyang Fei, Ying Li, Jing Liu, Bin Dong

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

8 authors.

Chunlin Lu *Department of Neurosurgery, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Huihao Ma *Department of Neurosurgery, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Jie Wang *Department of Stem Cell and Clinical Research, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Fei SunDepartment of Neurosurgery, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Mingyang FeiDepartment of Neurosurgery, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Ying LiDepartment of Stem Cell and Clinical Research, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Jing LiuThe Administration center, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Bin DongDepartment of Neurosurgery, First Affiliated Hospital of Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: The characteristics and role of NOD-like receptor (NLR) signaling pathway in high-grade gliomas were still unclear. This study aimed to reveal the association of NLR with clinical heterogeneity of glioblastoma (GBM) patients, and to explore the role of NLR pathway hub genes in the occurrence and development of GBM. Methods: Transcriptomic data from 496 GBM patients with complete prognostic information were obtained from the TCGA, GEO, and CGGA databases. Using the NMF clustering algorithm and the expression profiles of NLR genes, these 496 GBM patients were classified into different clinical subtypes. The pathway activity of NLR and the immune micro-environment characteristics were then compared between these subtypes. A novel and accurate NLR expression profile-based prognostic marker for GBM was developed using LASSO and COX regression analysis. Results: Based on the NLR gene expression profile, GBM patients were accurately divided into two clinical subtypes (C1 and C2) with different clinical outcomes. The two groups of patients showed different immune microenvironment characteristics and metabolic characteristics, which might be the potential reason for the difference in prognosis. Differential expression and enrichment analyzes revealed intrinsic gene signature differences between C1 and C2 subtypes. Based on the differential expression profiles of C1 and C2, prognostic molecular markers related to NLR were developed. The AUC value of the 3-year ROC curve ranged from 0.601 to 0.846, suggesting its potential clinical significance. Single-cell sequencing analysis showed that the NLR gene was mainly active in myeloid cells within GBM. The random forest algorithm identified the crucial role of TRIP6 gene in NLR pathway. Molecular biology experiments confirmed that TRIP6 was abnormally overexpressed in GBM. Knockdown of TRIP6 gene can significantly inhibit the proliferation and migration ability of GBM cells. Conclusion: The NLR signaling pathway plays a critical role in regulating immune microenvironment and metabolism reprogramming of GBM. TRIP6 is a potential hub gene within the NLR pathway and affects the malignant biological behavior of GBM cells.

Indexed as

Brain NeoplasmsGlioblastomaGliomaTumor MicroenvironmentBiomarkers, TumorDatabases, GeneticFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMetabolic ReprogrammingPrognosisSignal TransductionTranscriptomeBiomarkers, Tumorclinical heterogeneityGBMimmune microenvironmentmetabolism reprogrammingNLR pathwayTRIP6

Identifiers

PMID39882240
PMCPMC11774718

What Socratic holds

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Registered trials

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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 Socratic graph.