Evidence map›Paper›PMID 36910645›Full record

ArticleFrontiers in oncology2023

Identification and validation of a novel ubiquitination-related gene

Guoxin Qu, Yuanchun Xu, Ye Qu, Jinchao Qiu, Guosheng Chen, Nannan Zhao, Jin Deng

Abstract read
In one paragraph

Article in Frontiers in oncology, 2023. 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. Correspondence on, "UBE2T is a diagnostic and prognostic biomarker for endometrial cancer".Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  3. 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

7 authors.

Guoxin QuDepartment of Orthopaedics, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou, China.
Yuanchun XuDepartment of General Surgery, State Key Laboratory of Trauma, Burns and Combined Injury, Research Institute of Surgery, Daping Hospital, Army Medical University, Chongqing, China.
Ye QuDepartment of Trauma Surgery, The Second Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou, China.
Jinchao QiuDepartment of Emergency, The Affiliated Hospital of Guizhou Medical University, Guizhou Medical University, Guiyang, China.
Guosheng ChenDepartment of Emergency, The Affiliated Hospital of Guizhou Medical University, Guizhou Medical University, Guiyang, China.
Nannan ZhaoDepartment of Orthopaedics, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou, China.
Jin DengDepartment of Emergency, The Affiliated Hospital of Guizhou Medical University, Guizhou Medical University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ewing's sarcoma (ES) is one of the most prevalent malignant bone tumors worldwide. However, the molecular mechanisms of the genes and signaling pathways of ES are still not well sufficiently comprehended. To identify candidate genes involved in the development and progression of ES, the study screened for key genes and biological pathways related to ES using bioinformatics methods. Methods: The GSE45544 and GSE17618 microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified, and functional enrichment analysis was performed. A protein-protein interaction (PPI) network was built, and key module analysis was performed using STRING and Cytoscape. A core-gene was gained and was validated by the validation dataset GSE67886 and immunohistochemistry (IHC). The diagnostic value and prognosis evaluation of ES were executed using, respectively, the ROC approach and Cox Regression. Results: A total of 187 DEGs, consisting of 56 downregulated genes and 131 upregulated genes, were identified by comparing the tumor samples to normal samples. The enriched functions and pathways of the DEGs, including cell division, mitotic nuclear division, cell proliferation, cell cycle, oocyte meiosis, and progesterone-mediated oocyte maturation, were analyzed. There were 149 nodes and 1246 edges in the PPI network, and 15 hub genes were identified according to the degree levels. The core gene ( Conlusion:

Indexed as

biomarkerdiagnosisEwing’s sarcomaprognosisUBE2Tubiquitination

Identifiers

PMID36910645
PMCPMC9997212

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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.