Evidence map›Paper›PMID 28081052›Full record

SynthesisMedical science monitor : international medical journal of experimental and clinical research2017

Identification of Key Transcription Factors Associated with Lung Squamous Cell Carcinoma.

Feng Zhang, Xia Chen, Ke Wei, Daoming Liu, Xiaodong Xu, Xing Zhang, Hong Shi

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Medical science monitor : international medical journal of experimental and clinical research, 2017. 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
3.3field-weighted citation impact, top 8% 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, 40 citations in OpenAlex.

  1. Article
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  6. Multimerin-1 and cancer: a review.Bioscience reports · 2022
    Review
  7. Article
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  14. miR-339-5p Increases Radiosensitivity of Lung Cancer Cells by Targeting Phosphatases of Regenerating Liver-1 (PRL-1).Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  15. Correlations Between mRNA Levels of Centrosomal Protein 55 (CEP55) and Clinical Features of Patients with Lung Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  16. Expression and Comparison of Cbl-b in Lung Squamous Cell Carcinoma and Adenocarcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  17. Article
  18. 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

7 authors at 2 institutions in 1 country.

Feng ZhangDepartment of Oncology, Linyi People's Hospital of Shandong Province, Linyi, Shandong, China (mainland).
Xia ChenThe Second Ward, Taian Disabled Soldiers Hospital of Shandong Province, Taian, Shandong, China (mainland).
Ke WeiThe Third Ward, Taian Disabled Soldiers Hospital of Shandong Province, Taian, Shandong, China (mainland).
Daoming LiuDepartment of Respiratory Medicine, Taian City Central Hospital of Shandong Province, Taian, Shandong, China (mainland).
Xiaodong XuDepartment of Internal Medicine, Taian City Central Hospital of Shandong Province, Taian, Shandong, China (mainland).
Xing ZhangThe Second Ward, Taian Disabled Soldiers Hospital of Shandong Province, Taian, Shandong, China (mainland).
Hong ShiDepartment of Respiratory Medicine, Taian City Central Hospital of Shandong Province, Taian, Shandong, China (mainland).
Taian City Central Hospital · CNLinyi People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Lung squamous cell carcinoma (lung SCC) is a common type of lung cancer, but its mechanism of pathogenesis is unclear. The aim of this study was to identify key transcription factors in lung SCC and elucidate its mechanism. MATERIAL AND METHODS Six published microarray datasets of lung SCC were downloaded from Gene Expression Omnibus (GEO) for integrated bioinformatics analysis. Significance analysis of microarrays was used to identify differentially expressed genes (DEGs) between lung SCC and normal controls. The biological functions and signaling pathways of DEGs were mapped in the Gene Otology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database, respectively. A transcription factor gene regulatory network was used to obtain insights into the functions of DEGs. RESULTS A total of 1,011 genes, including 539 upregulated genes and 462 downregulated genes, were filtered as DEGs between lung SCC and normal controls. DEGs were significantly enriched in cell cycle, DNA replication, p53 signaling pathway, pathways in cancer, adherens junction, and cell adhesion molecules signaling pathways. There were 57 transcription factors identified, which were used to construct a regulatory network. The network consisted of 736 interactions between 49 transcription factors and 486 DEGs. NFIC, BRCA1, and NFATC2 were the top 3 transcription factors that had the highest connectivity with DEGs and that regulated 83, 82, and 75 DEGs in the network, respectively. CONCLUSIONS NFIC, BRCA1, and NFATC2 might be the key transcription factors in the development of lung SCC by regulating the genes involved in cell cycle and DNA replication pathways.

Indexed as

Carcinoma, Squamous CellGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksHumansLung NeoplasmsMolecular Sequence AnnotationTranscription FactorsTranscription Factors

Identifiers

PMID28081052
PMCPMC5248564
OpenAlexW2576874568

What OpenQuestion holds

Textmetadata
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.