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pmid:33490149

Bioinformatics analysis of key genes in triple negative breast cancer and validation of oncogene PLK1.

Yi Ren · Rong Deng · Qian Zhang · Jing Li · Baosan Han · Ping Ye

Annals of translational medicine · 2020 doi:10.21037/atm-20-6873

Paper

complete

Experiment

complete

Data

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Analysis

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title
Bioinformatics analysis of key genes in triple negative breast cancer and validation of oncogene PLK1.
doi
10.21037/atm-20-6873
pmid
33490149
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Yi Ren
[1]
Rong Deng
[2]
Qian Zhang
[3]
Jing Li
[4]
Baosan Han
[5]
Ping Ye
journal
Annals of translational medicine
year
2020
abstract
BACKGROUND: Breast cancer is the most common malignancy in women. Triple-negative breast cancer (TNBC) refers to a special subtype that is deficient in the expression of estrogen (ER), progesterone (PR), and human epidermal growth factor receptor 2 (HER-2). In this study, a variety of bioinformatics analysis tools were used to screen Hub genes related to the occurrence and development of triple negative breast cancer, and their biological functions were analyzed. METHODS: Gene Expression Omnibus (GEO) breast cancer microarray data GSE62931 was selected as the research object. The differentially expressed genes (DEGs) were screened and the protein-protein interaction (PPI) network of DEGs was constructed using bioinformatics tools. The Hub genes were also screened. The Gene Ontology (GO) knowledgebase and the Kyoto Encyclopedia of Genes and Genomes (KEGG) were used for biological enrichment analysis. The Gene Expression Profiling Interactive Analysis (GEPIA) online tool was used to verify the expression of the screened genes and patient survival. The effects of polo-like kinase 1 (PLK1) on the proliferation, invasion, migration, and dryness of breast cancer cells were verified using cell counting kit 8 (CCK-8), transwell migration assays, scratch tests, and clone formation tests. An animal model of subcutaneous xenotransplantation of breast cancer was established to evaluate the effect of PLK1 on the proliferation of breast cancer. RESULTS: A total of 824 DEGs were screened by GSE62931 microarray data; 405 of which were up-regulated and 419 of which were down-regulated. Functional enrichment analysis showed that these DEGs were mainly enriched in cancer-related pathways and were primarily involved in biological processes (BP) such as cell and mitotic division. From the Hub gene screening, PLK1 was further identified as the Hub gene associated with TNBC. Cell and animal experiments indicated that PLK1 promotes the proliferation, invasion, migration, and clone formation of breast cancer cells. CONCLUSIONS: Gene chip combined with bioinformatics methods can effectively analyze the DEGs related to the occurrence and development of breast cancer, and the screening of PLK1 can provide theoretical guidance for further research on the molecular mechanism of breast cancer and the screening of molecular markers.
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In this study, GEO breast cancer microarray data GSE62931 gene expression profile chip was selected as the research object (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE62931), which was Affymetrix Human Genome U1332.0 chip [HGU133_Plus_2]u (Agilent GPL15048 platform). The GSE62931 data set consisted of 53 breast cancer tumor tissue chips and 53 TNBC tumor tissue chips.
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um was replaced as required. Cell lines were transfected with PLK1 small interfering ribonucleic acid
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ding to the manufacturer’s instructions. The transfected cells were used 48 h later. Statistical anal
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Triple-negative breast cancer (TNBC) refers to a special subtype that is deficient in the expression of estrogen (ER), progesterone (PR), and human epidermal growth factor receptor 2 (HER-2). In this study, a variety of bioinformatics analysis tools were used to screen Hub genes related to the occurrence and development of triple negative breast cancer, and their biological functions were analyzed.\nMETHODS: Gene Expression Omnibus (GEO) breast cancer microarray data GSE62931 was selected as the research object. The differentially expressed genes (DEGs) were screened and the protein-protein interaction (PPI) network of DEGs was constructed using bioinformatics tools. The Hub genes were also screened. The Gene Ontology (GO) knowledgebase and the Kyoto Encyclopedia of Genes and Genomes (KEGG) were used for biological enrichment analysis. The Gene Expression Profiling Interactive Analysis (GEPIA) online tool was used to verify the expression of the screened genes and patient survival. The effects of polo-like kinase 1 (PLK1) on the proliferation, invasion, migration, and dryness of breast cancer cells were verified using cell counting kit 8 (CCK-8), transwell migration assays, scratch tests, and clone formation tests. An animal model of subcutaneous xenotransplantation of breast cancer was established to evaluate the effect of PLK1 on the proliferation of breast cancer.\nRESULTS: A total of 824 DEGs were screened by GSE62931 microarray data; 405 of which were up-regulated and 419 of which were down-regulated. Functional enrichment analysis showed that these DEGs were mainly enriched in cancer-related pathways and were primarily involved in biological processes (BP) such as cell and mitotic division. From the Hub gene screening, PLK1 was further identified as the Hub gene associated with TNBC. Cell and animal experiments indicated that PLK1 promotes the proliferation, invasion, migration, and clone formation of breast cancer cells.\nCONCLUSIONS: Gene chip combined with bioinformatics methods can effectively analyze the DEGs related to the occurrence and development of breast cancer, and the screening of PLK1 can provide theoretical guidance for further research on the molecular mechanism of breast cancer and the screening of molecular markers.", "claims": [{"id": "claim-method", "statement": "The statistical method used was the independent sample t-test. One-way analysis of variance (ANOVA) was used for comparison among groups. P<0.05 was considered statistically significant.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33490149", "locator": "sections[18] \"Statistical analysis\" paragraph 2", "quote": "The statistical method used was the independent sample t-test. One-way analysis of variance (ANOVA) was used for comparison among groups. 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Cell lines were transfected with PLK1 small interfering ribonucleic acid", "ding to the manufacturer’s instructions. The transfected cells were used 48 h later. Statistical anal", "ith PLK1 small interfering ribonucleic acid (siRNA) (20 nM) and overexpressed plasmid. Lipofect", "lle, MA, USA) was used, and negative control siRNA (si-NC) and si-PLK1 were transferred into th"], "order_basis": "paper_text_order:2996", "id": "assay:2"}, {"role": "analysis", "definition_id": "group_comparison", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["group_summary", "welch_t", "bootstrap_mean_difference", "group_comparison_anova"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The statistical method used was the independent sample t-test. One-way analysis of variance (ANOVA) was used for comparison among groups. P<0.05 was considered statistically significant."], "order_basis": "consumes_earlier_output", "id": "assay:3"}]}