Evidence map›Paper›PMID 33314711›Full record

ArticleCancer medicine2021

Exostosin1 as a novel prognostic and predictive biomarker for squamous cell lung carcinoma: A study based on bioinformatics analysis.

Disheng Wu, Chao Huo, Siyu Jiang, Yanxia Huang, Xuehong Fang, Jun Liu, Min Yang, Jianwei Ren, Bilian Xu, Yi Liu

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

18 citing papers in PubMed, 24 citations in OpenAlex.

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  13. ZEB1-activated Notch1 promotes circulating tumor cell migration and invasion in lung squamous cell carcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Article
  14. Insights into the Peritumoural Brain Zone of Glioblastoma:International journal of molecular sciences · 2023
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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

10 authors at 2 institutions in 1 country.

Disheng WuGuangdong Key Laboratory for Research and Development of Natural Drugs, Department of Pharmacology, Marine Medicine Research Institute, Guangdong Medical University, Zhanjiang, Guangdong, China.
Chao HuoGuangdong Key Laboratory for Research and Development of Natural Drugs, Department of Pharmacology, Marine Medicine Research Institute, Guangdong Medical University, Zhanjiang, Guangdong, China.
Siyu JiangGuangdong Key Laboratory for Research and Development of Natural Drugs, Department of Pharmacology, Marine Medicine Research Institute, Guangdong Medical University, Zhanjiang, Guangdong, China.
Yanxia HuangDepartment of Pharmacy, The Third People's Hospital of Shantou, Shantou, Guangdong, China.
Xuehong FangGuangdong Key Laboratory for Research and Development of Natural Drugs, Department of Pharmacology, Marine Medicine Research Institute, Guangdong Medical University, Zhanjiang, Guangdong, China.
Jun LiuShenzhen Ritzcon Biological Technology Co., Ltd., Shenzhen, Guangdong, China.
Min YangShenzhen Ritzcon Biological Technology Co., Ltd., Shenzhen, Guangdong, China.
Jianwei RenShenzhen Ritzcon Biological Technology Co., Ltd., Shenzhen, Guangdong, China.
Bilian XuDepartment of Pharmacology, Guangdong Medical University, Zhanjiang, Guangdong, China.
Yi LiuGuangdong Key Laboratory for Research and Development of Natural Drugs, Department of Pharmacology, Marine Medicine Research Institute, Guangdong Medical University, Zhanjiang, Guangdong, China.ORCID 0000-0002-3884-6605
Guangdong Medical College · CNShenzhen Technology University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The exostosin (EXT) protein family is involved in diverse human diseases. However, the expression and prognostic value of EXT genes in human lung squamous cell carcinoma (LUSC) is not well understood. In this study, we analyzed the association between expression of EXT1 and EXT2 genes and survival in patients with LUSC using bioinformatics resources such as Oncomine and The Cancer Genome Atlas (TCGA) databases, the Gene Expression Profiling Interactive Analysis (GEPIA) server and Kaplan-Meier plotter. Furthermore, regulatory microRNAs (miRNAs) were predicted for EXT1 and used to establish a potential miRNA-messenger RNA (mRNA) regulation network for LUSC using the ENCORI platform. We observed that EXT1 and EXT2 expression levels were higher in LUSC than those in normal tissues. However, only EXT1 expression was significantly associated with poor overall survival (OS) in LUSC patients. Functional annotation enrichment analysis showed that genes co-expressed with the EXT1 gene were enriched in biological processes such as cell adhesion and migration, and KEGG pathways such as extracellular matrix receptor interactions, complement and coagulation cascades, and cell death. Furthermore, three miRNAs, hsa-mir-190a-5p, hsa-mir-195-5p, and hsa-mir-490-3p, were identified to be potentially involved in the regulation of EXT1. In summary, we identified EXT1 expression as a novel potential prognostic marker for human LUSC and the regulatory miRNAs that could possibly contribute to the prognosis of the disease.

Indexed as

Biomarkers, TumorCarcinoma, Squamous CellCell Line, TumorComputational BiologyExostosin 1Exostosin 2Gene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKaplan-Meier EstimateLung NeoplasmsMicroRNAsN-AcetylglucosaminyltransferasesPrognosisProtein Interaction MapsBiomarkers, TumorExostosin 1Exostosin 2MicroRNAsN-Acetylglucosaminyltransferasesbioinformatics analysisbiomarkerEXT1lung squamous cell carcinomaprognosis

Identifiers

PMID33314711
PMCPMC8026939
OpenAlexW3112593377

What OpenQuestion 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 OpenQuestion graph.