Evidence map›Paper›PMID 34335945›Full record

ArticleJournal of Cancer2021

Identification of Hub Genes and Small Molecule Drugs Associated with Acquired Resistance to Gefitinib in Non-Small Cell Lung Cancer.

Guangda Li, Yunfei Ma, Mingwei Yu, Xiaoxiao Li, Xinjie Chen, Yu Gao, Peiyu Cheng, Ganlin Zhang, Xiaomin Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Cephaeline promotes ferroptosis in breast cancer via p53/SLC7A11/GPX4 axis.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026
    Article
  2. [Cephaeline attenuates malignant biological behaviors of colorectal cancer by regulating the Ras signaling pathway].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
    Article
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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

9 authors at 3 institutions in 1 country.

Guangda LiBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Yunfei MaBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Mingwei YuBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Xiaoxiao LiBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Xinjie ChenBeijing University of Chinese Medicine, Beijing, China.
Yu GaoBeijing University of Chinese Medicine, Beijing, China.
Peiyu ChengBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Ganlin ZhangBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Xiaomin WangBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Capital Medical University · CNBeijing University of Chinese Medicine · CNBeijing Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeting EGFR, epidermal growth factor receptor tyrosine kinase inhibitors (EGFR TKIs), brings lights to the treatment of non-small cell lung cancer (NSCLC). Although T790M mutation responded as one of the main reasons of acquired resistance, still 15% of the resistance patients can't be explained by the known mechanisms. The purpose of this research was to identify some new mechanisms of gefitinib acquired resistance, and to predict small molecules drugs which may reverse drug resistance by integrated bioinformatics analysis. The GSE34228 data package containing the microarray data of acquired gefitinib-resistant cell line (PC9GR) and gefitinib-sensitive cell line (PC9) from the GEO database were downloaded, and gene co-expression networks by weighted gene co-expression network analysis (WGCNA) were constructed to identified key modules and key genes related to gefitinib resistance. Furthermore, the significantly differentially expressed genes (DEGs) between the two cell types were screened out, and a protein-protein interaction (PPI) network to obtain the key genes of DEGs was accordingly constructed. Through the above two methods, 4 hub genes, PI3, S100A8, AXL and PNPLA4 were mined as the most relevant to gefitinib resistance. Among them, PI3, S100A8 were down-regulated in PC9GR cell samples, while AXL, PNPLA4 were up-regulated. The gene set enrichment analysis (GSEA) for single gene showed that the four hub genes were mainly correlated with cell proliferation and cycle. Besides, small molecule drugs with the potential to overcome resistance, such as Emetine and cephaeline, were screened by CMap database. Consistent with this,

Indexed as

bioinformatics analysisgefitinib resistanceGSEA.hub genesnon-small cell lung cancerWGCNA

Identifiers

PMID34335945
PMCPMC8317531
OpenAlexW3184829007

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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.