Evidence map›Paper›PMID 37583423›Full record

ArticleFrontiers in medicine2023

Bioinformatics-based screening of key genes for transformation of tyrosine kinase inhibitor-resistant lung adenocarcinoma to small cell lung cancer.

Ying Zhang, Qiang Chen, Ting Huang, Di Zhu, Yuanzhi Lu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
  3. The role and therapeutic value of NUSAP1 in human cancers.Journal of translational medicine · 2025
    Review
  4. Article
  5. Specific association ofSaudi medical journal · 2024
    Article
  6. 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

5 authors at 1 institution in 1 country.

Ying ZhangDepartment of Oncology, First Affiliated Hospital of Jinan University, Guangzhou, China.
Qiang ChenDepartment of Oncology, First Affiliated Hospital of Jinan University, Guangzhou, China.
Ting HuangDepartment of Clinical Pathology, First Affiliated Hospital of Jinan University, Guangzhou, China.
Di ZhuDepartment of Clinical Pathology, First Affiliated Hospital of Jinan University, Guangzhou, China.
Yuanzhi LuDepartment of Clinical Pathology, First Affiliated Hospital of Jinan University, Guangzhou, China.
First Affiliated Hospital of Jinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Lung adenocarcinoma (LUAD) is a common type of lung cancer. Cancer in a small number of patients with EGFR mutations will transform from LUAD to small cell lung cancer (SCLC) during epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) therapiesr. The purpose of the present study was to identify the core genes related to the transformation of LUAD into SCLC and to explore the associated molecular mechanisms. Methods: GSE29016, GSE1037, GSE6044 and GSE40275 mRNA microarray datasets from Gene Expression Omnibus (GEO) were analyzed to obtain differentially expressed genes (DEGs) between LUAD and SCLC tissues, and the results were used for network analysis of protein-protein interactions (PPIs). After identifying the hub gene by STRING and Cytoscape platform, we explored the relationship between hub genes and the occurrence and development of SCLC. Finally, the obtained hub genes were validated in treated LUAD cells. Results: A total of 41 DEGs were obtained, four hub genes ( Conclusion:

Indexed as

bioinformatic analysisEGFRLUADSCLCtransformation

Identifiers

PMID37583423
PMCPMC10424445
OpenAlexW4385429760

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.