Evidence map›Paper›PMID 35096060›Full record

ArticleJournal of oncology2022

Identification of Biomarkers Associated with Cancerous Change in Oral Leukoplakia Based on Integrated Transcriptome Analysis.

Chunshen Li, Yingying Shi, Lihua Zuo, Mingzhe Xin, Xiaomeng Guo, Jianli Sun, Shuai Chen, Bin Zhao, Zhe Yang, Zhi Sun and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 16% of its field
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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

11 authors at 2 institutions in 1 country.

Chunshen LiDepartment of Oral Emergency, The First Affiliated Hospital of Zhengzhou University· Stomatological Hospital of Henan Province, Zhengzhou 450000, China.
Yingying ShiDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.
Lihua ZuoDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.
Mingzhe XinDepartment of Oral Emergency, The First Affiliated Hospital of Zhengzhou University· Stomatological Hospital of Henan Province, Zhengzhou 450000, China.
Xiaomeng GuoDepartment of Oral Emergency, The First Affiliated Hospital of Zhengzhou University· Stomatological Hospital of Henan Province, Zhengzhou 450000, China.
Jianli SunDepartment of Oral Emergency, The First Affiliated Hospital of Zhengzhou University· Stomatological Hospital of Henan Province, Zhengzhou 450000, China.
Shuai ChenDepartment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Zhengzhou University·Stomatological Hospital of Henan Province, Zhengzhou 450000, China.
Bin ZhaoDepartment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Zhengzhou University·Stomatological Hospital of Henan Province, Zhengzhou 450000, China.
Zhe YangDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.
Zhi SunDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.ORCID https://orcid.org/0000-0001-6007-4923
Hongyu ZhaoDepartment of Oral Emergency, The First Affiliated Hospital of Zhengzhou University· Stomatological Hospital of Henan Province, Zhengzhou 450000, China.ORCID https://orcid.org/0000-0002-9968-5737
First Affiliated Hospital of Zhengzhou University · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOral leukoplakia (OLK) is the most common precancerous lesion in the oral cavity. This study aimed to explore key biomarkers for monitoring OLK for early diagnosis of oral squamous cell carcinoma (OSCC) and screen small-molecule drugs for the prevention of OSCC.

methodThe Gene Expression Omnibus (GEO) database was explored to extract two microarray datasets, namely, GSE85195 and GSE25099. The data of the normal group, OLK group, and OSCC group were analyzed by weighted gene coexpression network analysis (WGCNA) to identify the most significant gene module and differentially expressed genes (DEGs). The intersection genes were extracted as the key genes of OLK carcinogenesis. Subsequently, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were analyzed in the module. Connectivity Map and molecular docking were used to screen small-molecule drugs. The diagnostic values of four key genes were identified and verified in the GSE26549 dataset.

resultsWGCNA obtained the red module (

conclusionsThis study provides new targets and drugs for OLK. These targets could be used as the key diagnostic molecules for long-term follow-up of OLK. The small-molecule drugs selumetinib and benidipine could be used for the prevention and treatment of OSCC.

Identifiers

PMID35096060
PMCPMC8791753
OpenAlexW4206273090

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.