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Li M, Kang S, Deng X, Li H, Zhao Y, Tang W, Sheng M. Erianin inhibits the progression of triple-negative breast cancer by suppressing SRC-mediated cholesterol metabolism. Cancer Cell Int 2024; 24:166. [PMID: 38734640 PMCID: PMC11088164 DOI: 10.1186/s12935-024-03332-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 04/18/2024] [Indexed: 05/13/2024] Open
Abstract
Triple-negative breast cancer (TNBC) is highly malignant and lacks effective biotherapeutic targets. The development of efficient anticancer drugs with low toxicity and few side effects is a hotspot in TNBC treatment research. Although erianin is known to have potent antitumor activity, its regulatory mechanism and target in TNBC have not been fully elucidated, hampering further drug development. This study showed that erianin can significantly inhibit TNBC cell proliferation and migration, promote cell apoptosis, and inhibit the growth of transplanted tumors in mice. Mechanistically, through network pharmacology analysis, molecular docking and cellular thermal shift assays, we preliminarily identified SRC as the cellular target of erianin. Erianin potently inhibited the expression of SRC, which mediated the anticancer effect of erianin in TNBC. Moreover, erianin can downregulate the expression of genes related to cholesterol synthesis and uptake by targeting SRC, interfering with cholesterol levels in TNBC, thereby inhibiting the progression of TNBC in vivo and in vitro. Taken together, our results suggest that erianin may inhibit the progression of TNBC by suppressing SRC-mediated cholesterol metabolism, and erianin has the great potential to be an effective treatment for TNBC patients.
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Affiliation(s)
- Ming Li
- Laboratory of Molecular Genetics of Aging & Tumor, Medical School, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China
| | - Shiyao Kang
- Laboratory of Molecular Genetics of Aging & Tumor, Medical School, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China
| | - Xuming Deng
- Laboratory of Molecular Genetics of Aging & Tumor, Medical School, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China
| | - Huimin Li
- Laboratory of Molecular Genetics of Aging & Tumor, Medical School, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China
| | - Yuan Zhao
- Kunming University of Science and Technology Affiliated Puer City People's Hospital, Puer, Yunnan, 665000, China
| | - Wenru Tang
- Laboratory of Molecular Genetics of Aging & Tumor, Medical School, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China
| | - Miaomiao Sheng
- Laboratory of Molecular Genetics of Aging & Tumor, Medical School, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China.
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2
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Orsini A, Diquigiovanni C, Bonora E. Omics Technologies Improving Breast Cancer Research and Diagnostics. Int J Mol Sci 2023; 24:12690. [PMID: 37628869 PMCID: PMC10454385 DOI: 10.3390/ijms241612690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 08/09/2023] [Accepted: 08/10/2023] [Indexed: 08/27/2023] Open
Abstract
Breast cancer (BC) has yielded approximately 2.26 million new cases and has caused nearly 685,000 deaths worldwide in the last two years, making it the most common diagnosed cancer type in the world. BC is an intricate ecosystem formed by both the tumor microenvironment and malignant cells, and its heterogeneity impacts the response to treatment. Biomedical research has entered the era of massive omics data thanks to the high-throughput sequencing revolution, quick progress and widespread adoption. These technologies-liquid biopsy, transcriptomics, epigenomics, proteomics, metabolomics, pharmaco-omics and artificial intelligence imaging-could help researchers and clinicians to better understand the formation and evolution of BC. This review focuses on the findings of recent multi-omics-based research that has been applied to BC research, with an introduction to every omics technique and their applications for the different BC phenotypes, biomarkers, target therapies, diagnosis, treatment and prognosis, to provide a comprehensive overview of the possibilities of BC research.
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Affiliation(s)
| | - Chiara Diquigiovanni
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40131 Bologna, Italy; (A.O.); (E.B.)
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Khazaei-Poul Y, Mirmotalebisohi SA, Zali H, Molavi Z, Mohammadi-Yeganeh S. Identification of miR-3182 and miR-3143 target genes involved in the cell cycle as a novel approach in TNBC treatment: A systems biology approach. Chem Biol Drug Des 2023; 101:662-677. [PMID: 36310371 DOI: 10.1111/cbdd.14167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 10/15/2022] [Accepted: 10/24/2022] [Indexed: 02/04/2023]
Abstract
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with a poor prognosis, lacking therapeutic targets. miRNAs play crucial roles in TNBC through regulating various mechanisms, including cellular growth and proliferation. This study aims to identify critical target genes of two novel miRNAs (miR-3143 and miR-3182) involved in the cell cycle of TNBC as possible therapeutic targets and investigates their regulatory and therapeutic roles through a systems biology approach and in vitro experiment. Datasets related to the TNBC cell line (MDA-MB-231) were screened and retrieved, and Gene regulatory networks were constructed. Significant regulatory motifs were detected and analyzed using the FANMOD and Cytoscape analyzer, and the clusters and seeds were identified using the MCODE. Functional enrichment analysis was also performed using DAVID and STRING. The most critical genes were determined using the analysis of GRN motifs and PPI clusters. The essential genes involved in the cell cycle were selected and verified using the bc-GenExMiner v4.7. We overexpressed miR-3143 and miR-3182 in the MDA-MB-231 cell line using human umbilical cord mesenchymal stem cell (HUCMSC)-miRNA loaded exosomes, and the expression of the critical target genes was investigated using RT-qPCR. We identified eight critical genes as potential therapeutic targets. Their expression decreased by overexpression of miR-3143 and miR-3182 in RT-qPCR. The identified critical genes have probably significant roles in the pathogenesis of TNBC through the cell cycle. We suggest that the overexpression of miR-3143 and miR-3182 could be a new therapeutic candidate in TNBC and is worth more investigation.
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Affiliation(s)
- Yalda Khazaei-Poul
- Student Research Committee, Department of Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Seyed Amir Mirmotalebisohi
- Student Research Committee, Department of Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Cellular and Molecular Biology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hakimeh Zali
- Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zahra Molavi
- Proteomics Research Center, Shahid Beheshti University of Medical Science, Tehran, Iran
| | - Samira Mohammadi-Yeganeh
- Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Medical Nanotechnology and Tissue Engineering Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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4
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Li Y, Kong X, Wang Z, Xuan L. Recent advances of transcriptomics and proteomics in triple-negative breast cancer prognosis assessment. J Cell Mol Med 2022; 26:1351-1362. [PMID: 35150062 PMCID: PMC8899180 DOI: 10.1111/jcmm.17124] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Revised: 11/18/2021] [Accepted: 12/01/2021] [Indexed: 12/24/2022] Open
Abstract
Triple-negative breast cancer (TNBC), a heterogeneous tumour that lacks the expression of oestrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2), is often characterized by aggressiveness and tends to recur or metastasize. TNBC lacks therapeutic targets compared with other subtypes and is not sensitive to endocrine therapy or targeted therapy except chemotherapy. Therefore, identifying the prognostic characteristics and valid therapeutic targets of TNBC could facilitate early personalized treatment. Due to the rapid development of various technologies, researchers are increasingly focusing on integrating 'big data' and biological systems, which is referred to as 'omics', as a means of resolving it. Transcriptomics and proteomics analyses play an essential role in exploring prospective biomarkers and potential therapeutic targets for triple-negative breast cancers, which provides a powerful engine for TNBC's therapeutic discovery when combined with complementary information. Here, we review the recent progress of TNBC research in transcriptomics and proteomics to identify possible therapeutic goals and improve the survival of patients with triple-negative breast cancer. Also, researchers may benefit from this article to catalyse further analysis and investigation to decipher the global picture of TNBC cancer.
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Affiliation(s)
- Yuan Li
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiangyi Kong
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhongzhao Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lixue Xuan
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Wang H, Chen X, Bao L, Zhang X. Investigating potential molecular mechanisms of serum exosomal miRNAs in colorectal cancer based on bioinformatics analysis. Medicine (Baltimore) 2020; 99:e22199. [PMID: 32925795 PMCID: PMC7489663 DOI: 10.1097/md.0000000000022199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 07/11/2020] [Accepted: 08/16/2020] [Indexed: 11/26/2022] Open
Abstract
Colorectal cancer (CRC) is the most common malignant gastrointestinal tumor worldwide. Serum exosomal microRNAs (miRNAs) play a critical role in tumor progression and metastasis. However, the underlying molecular mechanisms are poorly understood.The miRNAs expression profile (GSE39833) was downloaded from Gene Expression Omnibus (GEO) database. GEO2R was applied to screen the differentially expressed miRNAs (DEmiRNAs) between healthy and CRC serum exosome samples. The target genes of DEmiRNAs were predicted by starBase v3.0 online tool. The gene ontology (GO) and Kyoto Encyclopedia of Genomes pathway (KEGG) enrichment analysis were performed using the Database for Annotation, Visualization and Integrated Discovery (DAVID) online tool. The protein-protein interaction (PPI) network was established by the Search Tool for the Retrieval of Interacting Genes (STRING) visualized using Cytoscape software. Molecular Complex Detection (MCODE) and cytohubba plug-in were used to screen hub genes and gene modules.In total, 102 DEmiRNAs were identified including 67 upregulated and 35 downregulated DEmiRNAs, and 1437 target genes were predicted. GO analysis showed target genes of upregulated DEmiRNAs were significantly enriched in transcription regulation, protein binding, and ubiquitin protein ligase activity. While the target genes of downregulated DEmiRNAs were mainly involved in transcription from RNA polymerase II promoter, SMAD binding, and DNA binding. The KEGG pathway enrichment analyses showed target genes of upregulated DEmiRNAs were significantly enriched in proteoglycans in cancer, microRNAs in cancer, and phosphatidylinositol-3 kinases/Akt (PI3K-Akt) signaling pathway, while target genes of downregulated DEmiRNAs were mainly enriched in transforming growth factor-beta (TGF-beta) signaling pathway and proteoglycans in cancer. The genes of the top 3 modules were mainly enriched in ubiquitin mediated proteolysis, spliceosome, and mRNA surveillance pathway. According to the cytohubba plugin, 37 hub genes were selected, and 4 hub genes including phosphoinositide-3-kinase regulatory subunit 1 (PIK3R1), SRC, cell division cycle 42 (CDC42), E1A binding protein p300 (EP300) were identified by combining 8 ranked methods of cytohubba.The study provides a comprehensive analysis of exosomal DEmiRNAs and target genes regulatory network in CRC, which can better understand the roles of exosomal miRNAs in the development of CRC. However, these findings require further experimental validation in future studies.
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Affiliation(s)
- Haifeng Wang
- Department of Hematology and Oncology, Beilun District People's Hospital, Ningbo, Zhejiang
| | - Xiliang Chen
- Department of Clinical Laboratory, Zhangqiu District People's Hospital, Jinan, Shandong, China
| | - Lingling Bao
- Department of Hematology and Oncology, Beilun District People's Hospital, Ningbo, Zhejiang
| | - Xuede Zhang
- Department of Hematology and Oncology, Beilun District People's Hospital, Ningbo, Zhejiang
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6
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Fei H, Chen S, Xu C. RNA-sequencing and microarray data mining revealing: the aberrantly expressed mRNAs were related with a poor outcome in the triple negative breast cancer patients. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:363. [PMID: 32355807 PMCID: PMC7186670 DOI: 10.21037/atm.2020.02.51] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background Triple negative breast cancer (TNBC) account for about 20% of breast carcinomas and the American society of clinical oncology guidelines does not specify approaches for TNBC patients since lack of specific driver molecules and targeted drugs. Methods We filtered out the aberrantly expressed mRNAs on the basis of RNA-seq data deposited in the Gene Expression Omnibus database, and verified and deeply analyzed screened differentially expressed genes (DEGs) using a combined bioinformatics approach. Results Of 21,755 genes with 472 TNBC cases from 3 independent laboratories, 159 mRNAs were identified as DEGs. To verify our results, we assessed the expression levels of top 8 DEGs in Oncomine database. The hierarchical clustering analysis, functional and pathway enrichment analysis were carried out for all DEGs. The results reveal that N-acetyltransferase 1 (NAT1) is most obvious of expression change's gene. Protein-protein interaction (PPI) network construction of 159 DEGs selected 3 hub genes: desmoglein 3 (DSG3), family with sequence similarity 83 member D (FAM83D) and GATA binding protein 3 (GATA3). For further analysis of the potential role of NAT1 in TNBC, the co-expression profiles of NAT1 in BC were made out, and we found that there are 5 genes [GATA3, trefoil factor 3 (TFF3), forkhead box A1 (FOXA1), signal peptide, CUB domain and EGF like domain containing 2 (SCUBE2), G protein-coupled receptor 160 (GPR160)] which co-expressed with NAT1 also were DEGs that we screened out before. Co-occurrence analysis confirmed that same as DEGs, GATA3 and SCUBE2 co-expressed with NAT1, and had a tendency towards a co-occurrence with NAT1 in TNBC. The survival curves showed that NAT1, GATA3 and SCUBE2 expression are significantly related with prognosis. Conclusions From all above results, we speculate that NAT1, GATA3 and SCUBE2 play a vital role in TNBC.
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Affiliation(s)
- Hongjun Fei
- Department of Reproductive Genetics, Shanghai Key Laboratory of Embryo Original Diseases, International Peace Maternity and Child Health Hospital, Shanghai Municipal Key Clinical Specialty, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Songchang Chen
- Department of Reproductive Genetics, Shanghai Key Laboratory of Embryo Original Diseases, International Peace Maternity and Child Health Hospital, Shanghai Municipal Key Clinical Specialty, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Chenming Xu
- Department of Reproductive Genetics, Shanghai Key Laboratory of Embryo Original Diseases, International Peace Maternity and Child Health Hospital, Shanghai Municipal Key Clinical Specialty, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
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7
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Liu L, Wang S, Cen C, Peng S, Chen Y, Li X, Diao N, Li Q, Ma L, Han P. Identification of differentially expressed genes in pancreatic ductal adenocarcinoma and normal pancreatic tissues based on microarray datasets. Mol Med Rep 2019; 20:1901-1914. [PMID: 31257501 DOI: 10.3892/mmr.2019.10414] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Accepted: 05/01/2019] [Indexed: 11/06/2022] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignant tumor with rapid progression and poor prognosis. In the present study, 11 high‑quality microarray datasets, comprising 334 tumor samples and 151 non‑tumor samples from the Gene Expression Omnibus, were screened, and integrative meta‑analysis of expression data was used to identify gene signatures that differentiate between PDAC and normal pancreatic tissues. Following the identification of differentially expressed genes (DEGs), two‑way hierarchical clustering analysis was performed for all DEGs using the gplots package in R software. Hub genes were then determined through protein‑protein interaction network analysis using NetworkAnalyst. In addition, functional annotation and pathway enrichment analyses of all DEGs were conducted in the Database for Annotation, Visualization, and Integrated Discovery. The expression levels and Kaplan‑Meier analysis of the top 10 upregulated and downregulated genes were verified in The Cancer Genome Atlas. A total of 1,587 DEGs, including 1,004 upregulated and 583 downregulated genes, were obtained by comparing PDAC with normal tissues. Of these, hematological and neurological expressed 1, integrin subunit α2 (ITGA2) and S100 calcium‑binding protein A6 (S100A6) were the top upregulated genes, and kinesin family member 1A, Dymeclin and β‑secretase 1 were the top downregulated genes. Reverse transcription‑quantitative PCR was performed to examine the expression levels of S100A6, KRT19 and GNG7, and the results suggested that S100A6 was significantly upregulated in PDAC compared with normal pancreatic tissues. ITGA2 overexpression was significantly associated with shorter overall survival times, whereas family with sequence similarity 46 member C overexpression was strongly associated with longer overall survival times. In addition, network‑based meta‑analysis confirmed growth factor receptor‑bound protein 2 and histone deacetylase 5 as pivotal hub genes in PDAC compared with normal tissue. In conclusion, the results of the present meta‑analysis identified PDAC‑related gene signatures, providing new perspectives and potential targets for PDAC diagnosis and treatment.
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Affiliation(s)
- Liying Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China
| | - Siqi Wang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China
| | - Chunyuan Cen
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China
| | - Shuyi Peng
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China
| | - Yan Chen
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China
| | - Xin Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China
| | - Nan Diao
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China
| | - Qian Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China
| | - Ling Ma
- Advanced Application Team, GE Healthcare, Shanghai 201203, P.R. China
| | - Ping Han
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China
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Ma L, Liang Z, Zhou H, Qu L. Applications of RNA Indexes for Precision Oncology in Breast Cancer. GENOMICS, PROTEOMICS & BIOINFORMATICS 2018; 16:108-119. [PMID: 29753129 PMCID: PMC6112337 DOI: 10.1016/j.gpb.2018.03.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/26/2017] [Revised: 03/25/2018] [Accepted: 03/30/2018] [Indexed: 12/11/2022]
Abstract
Precision oncology aims to offer the most appropriate treatments to cancer patients mainly based on their individual genetic information. Genomics has provided numerous valuable data on driver mutations and risk loci; however, it remains a formidable challenge to transform these data into therapeutic agents. Transcriptomics describes the multifarious expression patterns of both mRNAs and non-coding RNAs (ncRNAs), which facilitates the deciphering of genomic codes. In this review, we take breast cancer as an example to demonstrate the applications of these rich RNA resources in precision medicine exploration. These include the use of mRNA profiles in triple-negative breast cancer (TNBC) subtyping to inform corresponding candidate targeted therapies; current advancements and achievements of high-throughput RNA interference (RNAi) screening technologies in breast cancer; and microRNAs as functional signatures for defining cell identities and regulating the biological activities of breast cancer cells. We summarize the benefits of transcriptomic analyses in breast cancer management and propose that unscrambling the core signaling networks of cancer may be an important task of multiple-omic data integration for precision oncology.
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Affiliation(s)
- Liming Ma
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Zirui Liang
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Hui Zhou
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Lianghu Qu
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China.
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9
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Ahmadzada T, Reid G, McKenzie DR. Fundamentals of siRNA and miRNA therapeutics and a review of targeted nanoparticle delivery systems in breast cancer. Biophys Rev 2018; 10:69-86. [PMID: 29327101 PMCID: PMC5803180 DOI: 10.1007/s12551-017-0392-1] [Citation(s) in RCA: 124] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Accepted: 12/15/2017] [Indexed: 12/11/2022] Open
Abstract
Gene silencing via RNA interference (RNAi) is rapidly evolving as a personalized approach to cancer treatment. The effector molecules-small interfering RNAs (siRNAs) and microRNAs (miRNAs)-can be used to silence or "switch off" specific cancer genes. Currently, the main barrier to implementing siRNA- and miRNA-based therapies in clinical practice is the lack of an effective delivery system that can protect the RNA molecules from nuclease degradation, deliver to them to tumor tissue, and release them into the cytoplasm of the target cancer cells, all without inducing adverse effects. Here, we review the fundamentals of RNAi, cell membrane transport pathways, and factors that affect intracellular delivery. We discuss the advantages and disadvantages of the various types of nanoparticle delivery systems, with a focus on those that have been investigated in breast cancer in vivo.
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Affiliation(s)
- Tamkin Ahmadzada
- Sydney Medical School, The University of Sydney, Sydney, Australia.
| | - Glen Reid
- Sydney Medical School, The University of Sydney, Sydney, Australia
- Asbestos Diseases Research Institute (ADRI), Sydney, Australia
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10
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Cui L, Zheng R, Liu W, Shen P, Tang Y, Luo J, Zhang W, Jia G, Wang Y, Zhao S, Xie Q, Li Y. Preparation of chitosan‑silicon dioxide/BCSG1‑siRNA nanoparticles to enhance therapeutic efficacy in breast cancer cells. Mol Med Rep 2017; 17:436-441. [PMID: 29115613 DOI: 10.3892/mmr.2017.7887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Accepted: 09/25/2017] [Indexed: 11/06/2022] Open
Abstract
Breast cancer is one of the most serious diseases, posing threats to women's physical and mental health. Gene therapy has been gradually regarded as an important part of tumor therapeutics. In the present study, the breast cancer‑specific gene 1‑small interference RNA (BCSG1‑siRNA) plasmid was designed, then encapsulated by chitosan‑silicon dioxide nanometer carriers. The results demonstrated a successful encapsulation of BCSG1‑siRNA in chitosan‑silicon dioxide nanoparticles (encapsulation efficiency exceeded 90%). BCSG1‑siRNA was released slowly (the release rate was almost 30% after 24 h). The cytotoxic effect on MCF‑7 cells was enhanced by increasing the concentration of nanoparticle (the proliferation rate was reduced to 13.4±5.3% and apoptosis rate was increased to 71.5±6.8%). Therefore, the materials presented in the current study acted as successful gene carriers and exhibited significant antitumor effects in breast cancer cells.
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Affiliation(s)
- Lan Cui
- School of Material Science and Technology, Zhengzhou University, Zhengzhou, Henan 450001, P.R. China
| | - Ruifeng Zheng
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450003, P.R. China
| | - Wentao Liu
- School of Material Science and Technology, Zhengzhou University, Zhengzhou, Henan 450001, P.R. China
| | - Peihong Shen
- Department of Pathology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China
| | - Youcai Tang
- Department of Pediatrics, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China
| | - Junbo Luo
- Department of Radiation Oncology, Armed Police Hospital of Henan, Zhengzhou, Henan 450052, P.R. China
| | - Wei Zhang
- Department of Pathology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450005, P.R. China
| | - Guocong Jia
- Department of Galactophore, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450005, P.R. China
| | - Yongfeng Wang
- Department of Pathology, The People's Hospital of Anyang, Anyang, Henan 455000, P.R. China
| | - Shuaihua Zhao
- Department of Pathology, Anyang Hospital, Anyang, Henan 455000, P.R. China
| | - Qiaoting Xie
- Department of Pathology, Anyang Maternal and Child Health Care Hospital, Anyang, Henan 455133, P.R. China
| | - Yanwei Li
- Department of Pathology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China
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