Evidence map›Paper›PMID 37781041›Full record

ArticleInternational journal of biological sciences2023

Role of glycosphingolipid biosynthesis coregulators in malignant progression of thymoma.

Xin Zhang, Bo Zeng, Haoshuai Zhu, Rui Ma, Ping Yuan, Zhenguang Chen, Chunhua Su, Zhihao Liu, Xiaojing Yao, Aurora Lawrence and 2 more

Abstract read
In one paragraph

Article in International journal of biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Analysis of Lacto/Neolacto-Series Glycolipids and Gangliosides.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. 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

12 authors.

Xin ZhangDepartment of Thoracic Surgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, China.
Bo ZengDepartment of Thoracic Surgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, China.
Haoshuai ZhuDepartment of Thoracic Surgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, China.
Rui MaGuangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510655, China.
Ping YuanGuangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510655, China.
Zhenguang ChenDepartment of Thoracic Surgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, China.
Chunhua SuDepartment of Thoracic Surgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, China.
Zhihao LiuDepartment of Thoracic Surgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, China.
Xiaojing YaoDepartment of Thoracic Surgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, China.
Aurora LawrenceSchool of Medicine, Stanford University, 450 Serra Mall, Stanford, CA 94305, USA.
Zhenguo LiuDepartment of Thoracic Surgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, China.
Jianyong ZouDepartment of Thoracic Surgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the most common malignancy from mediastinum, the metabolic reprogramming of thymoma is important in its development. Nevertheless, the connection between the metabolic map and thymoma development is yet to be discovered. Thymoma was categorized into three subcategories by unsupervised clustering of molecular markers for metabolic pathway presentation in the TCGA dataset. Different genes and functions enriched were demonstrated through the utilization of metabolic Gene Ontology (GO) analysis. To identify the main contributors in the development of thymic malignancy, we utilized Gene Set Enrichment Analysis (GSEA), Gene Set Variation Analysis (GSVA), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. The prognosis of thymoma was evaluated by screening the essential pathways and genes using GSVA scores and machine learning classifiers. Furthermore, we integrated the transcriptomics findings with spectrum metabolomics investigation, detected through LC-MS/MS, in order to establish the essential controller network of metabolic reprogramming during thymoma progression. The thymoma prognosis is related to glycosphingolipid biosynthesis-lacto and neolacto series pathway, of what high B3GNT5 indicate poor survival. The investigation revealed that glycosphingolipid charts have a significant impact on metabolic dysfunction and could potentially serve as crucial targets in the clinical advancement of metabolic therapy.

Indexed as

ThymomaThymus NeoplasmsChromatography, LiquidCluster AnalysisHumansTandem Mass SpectrometryGlycosphingolipidMass spectrometry analysisMetabolic reprogrammingThymoma

Identifiers

PMID37781041
PMCPMC10535712

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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 OpenQuestion graph.