Evidence map›Paper›PMID 32566576›Full record

ArticleAnnals of translational medicine2020

Expression patterns and clinical significances of ENO2 in lung cancer: an analysis based on Oncomine database.

Desen Liu, Yiming Mao, Cheng Chen, Feng Zhu, Wenqiang Lu, Haitao Ma

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. 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
1.4field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

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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

6 authors at 3 institutions in 1 country.

Desen LiuDepartment of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Yiming MaoDepartment of Thoracic Surgery, Suzhou Kowloon Hospital Shanghai Jiaotong University School of Medicine, Suzhou 215028, China.
Cheng ChenDepartment of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Feng ZhuDepartment of Thoracic Surgery, Suzhou Kowloon Hospital Shanghai Jiaotong University School of Medicine, Suzhou 215028, China.
Wenqiang LuDepartment of Thoracic Surgery, Suzhou Kowloon Hospital Shanghai Jiaotong University School of Medicine, Suzhou 215028, China.
Haitao MaDepartment of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Suzhou Kowloon Hospital · CNFirst Affiliated Hospital of Soochow University · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is a heterogeneous malignant tumor involving more than 50 histological subtypes. Currently, molecularly targeted drugs have been shown to have promising applications in the clinical treatment of lung cancer. This study aims to explore the expression patterns and prognostic potential of enolase 2 (ENO2) in lung cancer.

methodsDifferential expressions of ENO2 in lung cancer cases were analyzed using the Oncomine database. Meanwhile, the prognostic potentials of ENO2 in lung cancer were assessed by deploying the Kaplan-Meier plotter database.

resultsForty-one studies reported a significant difference in ENO2 expression between tumors and the normal healthy control tissues. Among all the studies, there was an upregulation of ENO2 in 29 studies, and downregulation in 12 studies. 9/41 studies revealed upregulated ENO2 in distinct types of tumor tissues, including cervical cancer, esophageal cancer, kidney cancer, leukemia, melanoma, pancreatic cancer, sarcoma, and lung cancer. Furthermore, upregulated ENO2 was identified in 365 cases of lung cancer (P<0.05). By analyzing the Kaplan-Meier Plotter database, the ENO2 level was negatively correlated to the overall survival of lung cancer patients (P<0.05). Subsequently, subgroup analysis revealed that the prognostic potential of ENO2 was much more pronounced in lung adenocarcinoma patients (P<0.05).

conclusionsENO2 is upregulated in lung cancer tissues and linked to the prognosis. It can be used as a therapeutic target for developing lung cancer drugs.

Indexed as

enolase 2 (ENO2)Lung cancerOncomine

Identifiers

PMID32566576
PMCPMC7290642
OpenAlexW3027374282

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LicenceCC BY-NC-ND
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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.