Evidence map›Paper›PMID 35480999›Full record

ArticleInternational journal of general medicine2022

Identifying Potential Gene Defect Patterns Related to COVID-19 Based on Pharmacological and Bioinformatics Analysis for Lung Adenocarcinoma.

Hongqiang Lou, Xusheng Li, Suhua Gao, Yanfang Zhang, Haohao Chen, Xia Zhai

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Hongqiang LouMedical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua City, Zhejiang Province, 330700, People's Republic of China.
Xusheng LiMedical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua City, Zhejiang Province, 330700, People's Republic of China.
Suhua GaoMedical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua City, Zhejiang Province, 330700, People's Republic of China.
Yanfang ZhangMedical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua City, Zhejiang Province, 330700, People's Republic of China.
Haohao ChenMedical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua City, Zhejiang Province, 330700, People's Republic of China.
Xia ZhaiMedical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua City, Zhejiang Province, 330700, People's Republic of China.ORCID 0000-0002-5842-1559
Jinhua University of Vocational Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronavirus disease 2019 (COVID-19) greatly affects cancer patients, especially those with lung cancer. This study aimed to identify potential drug targets for lung adenocarcinoma (LUAD) patients with COVID-19. Methods: LUAD samples were obtained from public databases. Differentially expressed genes (DEGs) related to COVID-19 were screened. Protein-protein interactions among COVID-19-related genes, the traditional Chinese medicine (TCM) and TCM target genes were analyzed by CytoScape. The correlation between tumor microenvironment and COVID-19 target genes were assessed by Pearson correlation analysis. Unsupervised consensus clustering was conducted to categorize molecular subtypes. Results: We filtered 26 COVID-19 target genes related to TCM for LUAD. Interleukin (IL)-17 signaling pathway and tumor necrosis factor (TNF) signaling pathway were significantly enriched in these 26 genes. A strong correlation was found between COVID-19 target genes and tumor microenvironment (TME), cell death. Importantly, interleukin-1beta (IL1B) was identified as a core gene in the protein-protein interactions (PPI) network. Based on the 26 target genes, two molecular subtypes showing distinct overall survival, TME and response to target therapy were developed. Conclusions: This study explored 26 COVID-19 target genes, which could serve as potential therapeutic drug targets for LUAD. IL1B was verified as a critical target for developing new molecular drugs. Furthermore, two novel molecular subtypes showed the potential to guide personalized therapies in clinical practice.

Indexed as

COVID-19drug targetslung adenocarcinomamolecular subtypestraditional Chinese medicinetumor microenvironment

Identifiers

PMID35480999
PMCPMC9037893
OpenAlexW4224299721

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.