Evidence map›Paper›PMID 34558042›Full record

ArticleEnvironmental science and pollution research international2022

Bioinformatics analysis of key genes and potential mechanism in cadmium-induced breast cancer progression.

Fei Wu, Yangchun Zhang, Xu Chen, Yuqing Wang, Honghao Peng, Zhengbao Zhang, Ying Yang, Qing Wang

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

8 authors at 2 institutions in 1 country.

Fei Wu *Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Yangchun Zhang *Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Xu ChenDepartment of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Yuqing WangDepartment of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Honghao PengDepartment of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Zhengbao ZhangDepartment of Quality Management, Guangdong Provincial Center for Disease Prevention and Control, Guangzhou, China.
Ying YangDepartment of Quality Management, Guangdong Provincial Center for Disease Prevention and Control, Guangzhou, China. yang99063@126.com.
Qing WangDepartment of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China. wangq27@mail.sysu.edu.cn.
Sun Yat-sen University · CNGuangdong Provincial Center for Disease Control and Prevention · CN

Funding

key-area research and development program of guangdong province 2019B020210003national key research and development program of china SQ2019YFC1604603national natural science foundation of china Grant No. 82073583
6 · The paper itself

Abstract

Cadmium (Cd) may be associated with breast cancer progression, but the detailed molecular mechanism has not been fully elucidated. In this study, one public dataset (GSE136595) was used to identify differentially expressed genes (DEGs) in Cd-treated MCF-7 breast cancer cells. We determined a total of 2077 DEGs, and Ingenuity Pathway Analysis (IPA) software showed that 246 of them were related to tumor progression. Pathway analysis of these DEGs indicated that the HIF1α signaling and the epithelial-mesenchymal transition (EMT) pathway regulated by growth factors might be activated. Moreover, twist family bHLH transcription factor 1 (TWIST1), lysine demethylase 3A (KDM3A), Kruppel-like factor 4 (KLF4), nuclear protein 1 (NUPR1), neurogenin 3 (NEUROG3), and HNF1 homeobox B (HNF1B) might be the key transcription factors. And the result of protein-protein interaction (PPI) analysis showed that the hub genes in these 246 DEGs were tumor protein p53 (TP53), polo-like kinase 1 (PLK1), sirtuin 1 (SIRT1), protein tyrosine phosphatase non-receptor type 11 (PTPN11), caspase 8 (CASP8), cyclin-dependent kinase 6 (CDK6), calmodulin 3 (CALM3), KRAS proto-oncogene (KRAS), extra spindle pole bodies like 1 (ESPL1), and marker of proliferation Ki-67 (MKI67). Further analysis indicated that TWIST1, NUPR1, KRAS, and PTPN11 were related to the prognostic of breast cancer based on the Cancer Genome Atlas (TCGA) and they were validated to be upregulated in the Cd-treated MCF-7 cells. Our results suggested that the HIF1α signaling and the EMT pathway regulated by growth factors might be participant in the Cd-induced breast cancer progression and TWIST1, NUPR1, KRAS, and PTPN11 might be potential key genes.

Indexed as

Breast NeoplasmsCadmiumComputational BiologyEpithelial-Mesenchymal TransitionFemaleGene Expression Regulation, NeoplasticHumansJumonji Domain-Containing Histone DemethylasesKruppel-Like Factor 4CadmiumJumonji Domain-Containing Histone DemethylasesKDM3A protein, humanKruppel-Like Factor 4Bioinformatics analysisBreast cancer progressionCadmiumKey genes

Identifiers

PMID34558042
OpenAlexW3199634954

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.