Evidence map›Paper›PMID 30937621›Full record

ArticleInternational journal of clinical oncology2019

Identification of SERPINE1, PLAU and ACTA1 as biomarkers of head and neck squamous cell carcinoma based on integrated bioinformatics analysis.

Ke Yang, Shizhou Zhang, Dongsheng Zhang, Qian Tao, Tianqi Zhang, Guijun Liu, Xingguang Liu, Tengda Zhao

Open access · hybridAbstract read
In one paragraph

Article in International journal of clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

50 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Transcriptomic Profile of Canine Mammary Ductal Carcinoma.International journal of molecular sciences · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 at 3 institutions in 1 country.

Ke YangDepartment of Oral and Maxillofacial Surgery, Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China.
Shizhou ZhangDepartment of Oral and Maxillofacial Surgery, Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China.
Dongsheng ZhangDepartment of Oral and Maxillofacial Surgery, Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China.
Qian TaoDepartment of Oral and Maxillofacial Surgery, Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, Guangdong, China.
Tianqi ZhangDepartment of Oral and Maxillofacial Surgery, Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China.
Guijun LiuDepartment of Oral and Maxillofacial Surgery, Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China.
Xingguang LiuShangdong Provincial Key Laboratory of Oral Tissue Regeneration, Stomatology Hospital of Shandong University, Jinan, Shandong, China.
Tengda ZhaoDepartment of Oral and Maxillofacial Surgery, Provincial Hospital Affiliated to Shandong University, Jinan, 250021, Shandong, China. zhaotengdakq@163.com.
Shandong University · CNShandong Provincial Hospital · CNStomatology Hospital · CN

Funding

Natural Science Foundation of Shandong Province ZR2016HQ25
6 · The paper itself

Abstract

backgroundHead and neck squamous cell carcinoma (HNSCC) is the six leading cancer by incidence worldwide. The 5-year survival rate of HNSCC patients remains less than 65% due to lack of symptoms in the early stage. Hence, biomarkers which can improve detection of HNSCC should improve clinical outcome.

methodsGene expression profiles (GSE6631, GSE58911) and the Cancer Genome Atlas (TCGA) HNSCC data were used for integrated bioinformatics analysis; the differentially expressed genes (DEGs) were then subjected to functional and pathway enrichment analysis, protein-protein interaction (PPI) network construction. Subsequently, module analysis of the PPI network was performed and overall survival (OS) analysis of hub genes in subnetwork was studied. Finally, immunohistochemistry was used to verify the selected markers.

resultsA total of 52 up-regulated and 80 down-regulated DEGs were identified, which were mainly associated with ECM-receptor interaction and focal adhesion signaling pathways. Importantly, a set of prognostic signatures including SERPINE1, PLAU and ACTA1 were screened from DEGs, which could predict OS in HNSCC patients from TCGA cohort. Experiment of clinical samples further successfully validated that these three signature genes were aberrantly expressed in the oral epithelial dysplasia and HNSCC, and correlated with aggressiveness of HNSCC patients.

conclusionsSERPINE1, PLAU and ACTA1 played important roles in regulating the initiation and progression of HNSCC, and could be identified as key biomarkers for precise diagnosis and prognosis of HNSCC, which will provide potential targets for clinical therapies.

Indexed as

ActinsBiomarkers, TumorComputational BiologyGene Expression Regulation, NeoplasticHead and Neck NeoplasmsHumansImmunohistochemistryKaplan-Meier EstimateMembrane ProteinsPlasminogen Activator Inhibitor 1PrognosisProtein Interaction MapsReproducibility of ResultsSquamous Cell Carcinoma of Head and NeckACTA1 protein, humanActinsBiomarkers, TumorMembrane ProteinsPlasminogen Activator Inhibitor 1PLAU protein, humanSERPINE1 protein, humanBiomarkersDifferentially expressed genesHNSCCIntegrated bioinformatics analysis

Identifiers

PMID30937621
PMCPMC6687676
OpenAlexW2935158781

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.