1
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Subhan MA, Torchilin VP. Advances in siRNA Drug Delivery Strategies for Targeted TNBC Therapy. Bioengineering (Basel) 2024; 11:830. [PMID: 39199788 PMCID: PMC11351222 DOI: 10.3390/bioengineering11080830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Revised: 08/01/2024] [Accepted: 08/08/2024] [Indexed: 09/01/2024] Open
Abstract
Among breast cancers, triple-negative breast cancer (TNBC) has been recognized as the most aggressive type with a poor prognosis and low survival rate. Targeted therapy for TNBC is challenging because it lacks estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). Chemotherapy, radiation therapy, and surgery are the common therapies for TNBC. Although TNBC is prone to chemotherapy, drug resistance and recurrence are commonly associated with treatment failure. Combination therapy approaches using chemotherapy, mAbs, ADC, and antibody-siRNA conjugates may be effective in TNBC. Recent advances with siRNA-based therapy approaches are promising for TNBC therapy with better prognosis and reduced mortality. This review discusses advances in nanomaterial- and nanobiomaterial-based siRNA delivery platforms for TNBC therapy exploring targeted therapy approaches for major genes, proteins, and TFs upregulated in TNBC tumors, which engage in molecular pathways associated with low TNBC prognosis. Bioengineered siRNA drugs targeting one or several genes simultaneously can downregulate desired genes, significantly reducing disease progression.
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Affiliation(s)
- Md Abdus Subhan
- Division of Nephrology, University of Rochester, 601 Elmwood Ave, Rochester, NY 14642, USA
- Department of Chemistry, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh
| | - Vladimir P. Torchilin
- Center for Pharmaceutical Biotechnology and Nanomedicine, Department of Pharmaceutical Sciences, Northeastern University, Boston, MA 02115, USA
- Department of Chemical Engineering, Northeastern University, Boston, MA 02115, USA
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2
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Hou X, Ouyang J, Tang L, Wu P, Deng X, Yan Q, Shi L, Fan S, Fan C, Guo C, Liao Q, Li Y, Xiong W, Li G, Zeng Z, Wang F. KCNK1 promotes proliferation and metastasis of breast cancer cells by activating lactate dehydrogenase A (LDHA) and up-regulating H3K18 lactylation. PLoS Biol 2024; 22:e3002666. [PMID: 38905316 PMCID: PMC11192366 DOI: 10.1371/journal.pbio.3002666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 05/07/2024] [Indexed: 06/23/2024] Open
Abstract
Breast cancer is the most prevalent malignancy and the most significant contributor to mortality in female oncology patients. Potassium Two Pore Domain Channel Subfamily K Member 1 (KCNK1) is differentially expressed in a variety of tumors, but the mechanism of its function in breast cancer is unknown. In this study, we found for the first time that KCNK1 was significantly up-regulated in human breast cancer and was correlated with poor prognosis in breast cancer patients. KCNK1 promoted breast cancer proliferation, invasion, and metastasis in vitro and vivo. Further studies unexpectedly revealed that KCNK1 increased the glycolysis and lactate production in breast cancer cells by binding to and activating lactate dehydrogenase A (LDHA), which promoted histones lysine lactylation to induce the expression of a series of downstream genes and LDHA itself. Notably, increased expression of LDHA served as a vicious positive feedback to reduce tumor cell stiffness and adhesion, which eventually resulted in the proliferation, invasion, and metastasis of breast cancer. In conclusion, our results suggest that KCNK1 may serve as a potential breast cancer biomarker, and deeper insight into the cancer-promoting mechanism of KCNK1 may uncover a novel therapeutic target for breast cancer treatment.
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Affiliation(s)
- Xiangchan Hou
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Jiawei Ouyang
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Le Tang
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Pan Wu
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Xiangying Deng
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Qijia Yan
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Lei Shi
- Department of Pathology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Songqing Fan
- Department of Pathology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Chunmei Fan
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Can Guo
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Qianjin Liao
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Yong Li
- Department of Medicine, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Wei Xiong
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Guiyuan Li
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Zhaoyang Zeng
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Fuyan Wang
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
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3
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Xie H, Ding C, Li Q, Sheng W, Xu J, Feng R, Cheng H. Identification of shared gene signatures in major depressive disorder and triple-negative breast cancer. BMC Psychiatry 2024; 24:369. [PMID: 38755543 PMCID: PMC11100035 DOI: 10.1186/s12888-024-05795-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 04/26/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Patients with major depressive disorder (MDD) have an increased risk of breast cancer (BC), implying that these two diseases share similar pathological mechanisms. This study aimed to identify the key pathogenic genes that lead to the occurrence of both triple-negative breast cancer (TNBC) and MDD. METHODS Public datasets GSE65194 and GSE98793 were analyzed to identify differentially expressed genes (DEGs) shared by both datasets. A protein-protein interaction (PPI) network was constructed using STRING and Cytoscape to identify key PPI genes using cytoHubba. Hub DEGs were obtained from the intersection of hub genes from a PPI network with genes in the disease associated modules of the Weighed Gene Co-expression Network Analysis (WGCNA). Independent datasets (TCGA and GSE76826) and RT-qPCR validated hub gene expression. RESULTS A total of 113 overlapping DEGs were identified between TNBC and MDD. The PPI network was constructed, and 35 hub DEGs were identified. Through WGCNA, the blue, brown, and turquoise modules were recognized as highly correlated with TNBC, while the brown, turquoise, and yellow modules were similarly correlated with MDD. Notably, G3BP1, MAF, NCEH1, and TMEM45A emerged as hub DEGs as they appeared both in modules and PPI hub DEGs. Within the GSE65194 and GSE98793 datasets, G3BP1 and MAF exhibited a significant downregulation in TNBC and MDD groups compared to the control, whereas NCEH1 and TMEM45A demonstrated a significant upregulation. These findings were further substantiated by TCGA and GSE76826, as well as through RT-qPCR validation. CONCLUSIONS This study identified G3BP1, MAF, NCEH1 and TMEM45A as key pathological genes in both TNBC and MDD.
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Affiliation(s)
- Hua Xie
- Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Furong Road 678, Shushan District, Hefei, 230601, Anhui, China
- Xuancheng People's Hospital, Affiliated Xuancheng Hospital of Wannan Medical College, Dabatang Road 51, Xuanzhou District, Xuancheng, Anhui, 242000, China
| | - Chenxiang Ding
- Bengbu Medical College, Donghaida Road 2600, Longzihu District, Bengbu, Anhui, 233030, China
| | - Qianwen Li
- Xuancheng People's Hospital, Affiliated Xuancheng Hospital of Wannan Medical College, Dabatang Road 51, Xuanzhou District, Xuancheng, Anhui, 242000, China
| | - Wei Sheng
- Mental Health center of Xuancheng City, Changqiaocun Jinba Road, Economic and Technological Development Zone, Xuancheng, Anhui, 242000, China
| | - Jie Xu
- Xuancheng People's Hospital, Affiliated Xuancheng Hospital of Wannan Medical College, Dabatang Road 51, Xuanzhou District, Xuancheng, Anhui, 242000, China
| | - Renjian Feng
- Xuancheng People's Hospital, Affiliated Xuancheng Hospital of Wannan Medical College, Dabatang Road 51, Xuanzhou District, Xuancheng, Anhui, 242000, China
| | - Huaidong Cheng
- Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Furong Road 678, Shushan District, Hefei, 230601, Anhui, China.
- Department of Oncology, Shenzhen Hospital of Southern Medical University, Xinhu Road 1333, Bao'an District, Shenzhen, Guangdong, 518000, China.
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Poyil PK, Siraj AK, Padmaja D, Parvathareddy SK, Thangavel S, Alobaisi K, Diaz R, Begum R, Haqawi W, Al‐Sobhi SS, Al‐Dayel F, Al‐Kuraya KS. PLK1 and FoxM1 expressions positively correlate in papillary thyroid carcinoma and their combined inhibition results in synergistic anti-tumor effects. Mol Oncol 2024; 18:691-706. [PMID: 38361222 PMCID: PMC10920088 DOI: 10.1002/1878-0261.13610] [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: 09/18/2023] [Revised: 11/14/2023] [Accepted: 02/06/2024] [Indexed: 02/17/2024] Open
Abstract
Polo-like kinase 1 (PLK1; also known as serine/threonine-protein kinase PLK1) serves as a central player in cell proliferation, exerting critical regulatory roles in mitotic processes and cell survival. We conducted an analysis of PLK1 protein expression in a large cohort of samples from papillary thyroid carcinoma (PTC) patients and examined its functional significance in PTC cell lines, both in vitro and in vivo. PLK1 overexpression was noted in 54.2% of all PTC and was significantly associated with aggressive clinicopathological parameters; it was also found to be an independent prognostic marker for shorter recurrence-free survival. Given the significant association between PLK1 and forkhead box protein M1 (FoxM1), and their concomitant overexpression in a large proportion of PTC samples, we explored their correlation and their combined inhibitions in PTC in vitro and in vivo. Inhibition of PLK1 expression indeed suppressed cell proliferation, leading to cell cycle arrest and apoptosis in PTC cell lines. Significantly, the downregulation of PLK1 reduced the self-renewal capability of spheroids formed from PTC cells. Immunoprecipitation analysis shows that PLK1 binds to FoxM1 and vice versa in vitro. Mechanistically, PLK1 knockdown suppresses FoxM1 expression, whereas inhibition of FoxM1 does not affect PLK1 expression, which suggests that PLK1 acts through the FoxM1 pathway. The combined treatment of a PLK1 inhibitor (volasertib) and a FoxM1 inhibitor (thiostrepton) demonstrated a synergistic effect in reducing PTC cell growth in vitro and delaying tumor growth in vivo. This study highlights the important role of PLK1 in PTC tumorigenesis and prognosis. It also highlights the synergistic therapeutic potential of dual-targeting PLK1 and FoxM1 in PTC, unveiling a potential innovative therapeutic strategy for managing aggressive forms of PTC.
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Affiliation(s)
- Pratheesh Kumar Poyil
- Human Cancer Genomic ResearchKing Faisal Specialist Hospital and Research CenterRiyadhSaudi Arabia
| | - Abdul K. Siraj
- Human Cancer Genomic ResearchKing Faisal Specialist Hospital and Research CenterRiyadhSaudi Arabia
| | - Divya Padmaja
- Human Cancer Genomic ResearchKing Faisal Specialist Hospital and Research CenterRiyadhSaudi Arabia
| | | | - Saravanan Thangavel
- Human Cancer Genomic ResearchKing Faisal Specialist Hospital and Research CenterRiyadhSaudi Arabia
| | - Khadija Alobaisi
- Human Cancer Genomic ResearchKing Faisal Specialist Hospital and Research CenterRiyadhSaudi Arabia
| | - Roxanne Diaz
- Human Cancer Genomic ResearchKing Faisal Specialist Hospital and Research CenterRiyadhSaudi Arabia
| | - Rafia Begum
- Human Cancer Genomic ResearchKing Faisal Specialist Hospital and Research CenterRiyadhSaudi Arabia
| | - Wael Haqawi
- Human Cancer Genomic ResearchKing Faisal Specialist Hospital and Research CenterRiyadhSaudi Arabia
| | - Saif S. Al‐Sobhi
- Department of SurgeryKing Faisal Specialist Hospital and Research CentreRiyadhSaudi Arabia
| | - Fouad Al‐Dayel
- Department of PathologyKing Faisal Specialist Hospital and Research CentreRiyadhSaudi Arabia
| | - Khawla S. Al‐Kuraya
- Human Cancer Genomic ResearchKing Faisal Specialist Hospital and Research CenterRiyadhSaudi Arabia
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Ma Q, Chen L, Feng K, Guo W, Huang T, Cai YD. Exploring Prognostic Gene Factors in Breast Cancer via Machine Learning. Biochem Genet 2024:10.1007/s10528-024-10712-w. [PMID: 38383836 DOI: 10.1007/s10528-024-10712-w] [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: 08/12/2023] [Accepted: 01/21/2024] [Indexed: 02/23/2024]
Abstract
Breast cancer remains the most prevalent cancer in women. To date, its underlying molecular mechanisms have not been fully uncovered. The determination of gene factors is important to improve our understanding on breast cancer, which can correlate the specific gene expression and tumor staging. However, the knowledge in this regard is still far from complete. Thus, this study aimed to explore these knowledge gaps by analyzing existing gene expression profile data from 3149 breast cancer samples, where each sample was represented by the expression of 19,644 genes and classified into Nottingham histological grade (NHG) classes (Grade 1, 2, and 3). To this end, a machine learning-based framework was designed. First, the profile data were analyzed by using seven feature ranking algorithms to evaluate the importance of features (genes). Seven feature lists were generated, each of which sorted features in accordance with feature importance evaluated from a special aspect. Then, the incremental feature selection method was applied to each list to determine essential features for classification and building efficient classifiers. Consequently, overlapping genes, such as AURKA, CBX2, and MYBL2, were deemed as potentially related to breast cancer malignancy and prognosis, indicating that such genes were identified to be important by multiple feature ranking algorithms. In addition, the study formulated classification rules to reflect special gene expression patterns for three NHG classes. Some genes and rules were analyzed and supported by recent literature, providing new references for studying breast cancer.
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Affiliation(s)
- QingLan Ma
- School of Life Sciences, Shanghai University, Shanghai, 200444, China
| | - Lei Chen
- College of Information Engineering, Shanghai Maritime University, Shanghai, 201306, China
| | - KaiYan Feng
- Department of Computer Science, Guangdong AIB Polytechnic College, Guangzhou, 510507, China
| | - Wei Guo
- Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine (SJTUSM) & Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200030, China
| | - Tao Huang
- Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Yu-Dong Cai
- School of Life Sciences, Shanghai University, Shanghai, 200444, China.
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6
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Chang LY, Lee MZ, Wu Y, Lee WK, Ma CL, Chang JM, Chen CW, Huang TC, Lee CH, Lee JC, Tseng YY, Lin CY. Gene set correlation enrichment analysis for interpreting and annotating gene expression profiles. Nucleic Acids Res 2024; 52:e17. [PMID: 38096046 PMCID: PMC10853793 DOI: 10.1093/nar/gkad1187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 11/17/2023] [Accepted: 11/29/2023] [Indexed: 02/10/2024] Open
Abstract
Pathway analysis, including nontopology-based (non-TB) and topology-based (TB) methods, is widely used to interpret the biological phenomena underlying differences in expression data between two phenotypes. By considering dependencies and interactions between genes, TB methods usually perform better than non-TB methods in identifying pathways that include closely relevant or directly causative genes for a given phenotype. However, most TB methods may be limited by incomplete pathway data used as the reference network or by difficulties in selecting appropriate reference networks for different research topics. Here, we propose a gene set correlation enrichment analysis method, Gscore, based on an expression dataset-derived coexpression network to examine whether a differentially expressed gene (DEG) list (or each of its DEGs) is associated with a known gene set. Gscore is better able to identify target pathways in 89 human disease expression datasets than eight other state-of-the-art methods and offers insight into how disease-wide and pathway-wide associations reflect clinical outcomes. When applied to RNA-seq data from COVID-19-related cells and patient samples, Gscore provided a means for studying how DEGs are implicated in COVID-19-related pathways. In summary, Gscore offers a powerful analytical approach for annotating individual DEGs, DEG lists, and genome-wide expression profiles based on existing biological knowledge.
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Affiliation(s)
- Lan-Yun Chang
- Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan
| | - Meng-Zhan Lee
- Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan
| | - Yujia Wu
- Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan
| | - Wen-Kai Lee
- Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan
| | - Chia-Liang Ma
- Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan
| | - Jun-Mao Chang
- Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan
| | - Ciao-Wen Chen
- Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan
| | - Tzu-Chun Huang
- Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan
| | - Chia-Hwa Lee
- School of Medical Laboratory Science and Biotechnology, College of Medical Science and Technology, Taipei Medical University, New Taipei City 235, Taiwan
- Center for Intelligent Drug Systems and Smart Bio-devices (IDSB), National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan
- TMU Research Center of Cancer Translational Medicine, Taipei Medical University, Taipei 110, Taiwan
- Ph.D. Program in Medical Biotechnology, College of Medical Science and Technology, Taipei Medical University, New Taipei City 235, Taiwan
| | - Jih-Chin Lee
- Department of Otolaryngology-Head and Neck Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei 110, Taiwan
| | - Yu-Yao Tseng
- Department of Food Science, Nutrition, and Nutraceutical Biotechnology, Shih Chien University, Taipei 104, Taiwan
| | - Chun-Yu Lin
- Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan
- Center for Intelligent Drug Systems and Smart Bio-devices (IDSB), National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan
- Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan
- Cancer and Immunology Research Center, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
- Institute of Data Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan
- School of Dentistry, Kaohsiung Medical University, Kaohsiung 807, Taiwan
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Li X, Lv X, Li H, Zhang G, Long Y, Li K, Fan Y, Jin D, Zhou F, Liu H. Undifferentially Expressed CXXC5 as a Transcriptionally Regulatory Biomarker of Breast Cancer. Adv Biol (Weinh) 2023; 7:e2300189. [PMID: 37423953 DOI: 10.1002/adbi.202300189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/17/2023] [Indexed: 07/11/2023]
Abstract
This work hypothesizes that some genes undergo radically changed transcription regulations (TRs) in breast cancer (BC), but don't show differential expressions for unknown reasons. The TR of a gene is quantitatively formulated by a regression model between the expression of this gene and multiple transcription factors (TFs). The difference between the predicted and real expression levels of a gene in a query sample is defined as the mqTrans value of this gene, which quantitatively reflects its regulatory changes. This work systematically screens the undifferentially expressed genes with differentially expressed mqTrans values in 1036 samples across five datasets and three ethnic groups. This study calls the 25 genes satisfying the above hypothesis in at least four datasets as dark biomarkers, and the strong dark biomarker gene CXXC5 (CXXC Finger Protein 5) is even supported by all the five independent BC datasets. Although CXXC5 does not show differential expressions in BC, its transcription regulations show quantitative associations with BCs in diversified cohorts. The overlapping long noncoding RNAs (lncRNAs) may have contributed their transcripts to the expression miscalculations of dark biomarkers. The mqTrans analysis serves as a complementary view of the transcriptome-based detections of biomarkers that are ignored by many existing studies.
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Affiliation(s)
- Xue Li
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
- School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, China
- Engineering Research Center of Medical Biotechnology, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Xiaoying Lv
- School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, China
- Engineering Research Center of Medical Biotechnology, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Haijun Li
- School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, China
- Engineering Research Center of Medical Biotechnology, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Gongyou Zhang
- School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, China
- Engineering Research Center of Medical Biotechnology, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Yaohang Long
- School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, China
- Engineering Research Center of Medical Biotechnology, Guizhou Medical University, Guiyang, Guizhou, 550025, China
| | - Kewei Li
- Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China
- College of Computer Science and Technology, Jilin University, Changchun, 130012, China
| | - Yusi Fan
- College of Software, Jilin University, Changchun, 130012, China
| | - Dawei Jin
- Research Institute of Guizhou Huada Life Big Data, Guiyang, Guizhou, 550025, China
| | - Fengfeng Zhou
- Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China
- College of Computer Science and Technology, Jilin University, Changchun, 130012, China
| | - Hongmei Liu
- School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, China
- Engineering Research Center of Medical Biotechnology, Guizhou Medical University, Guiyang, Guizhou, 550025, China
- Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China
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8
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Masci D, Naro C, Puxeddu M, Urbani A, Sette C, La Regina G, Silvestri R. Recent Advances in Drug Discovery for Triple-Negative Breast Cancer Treatment. Molecules 2023; 28:7513. [PMID: 38005235 PMCID: PMC10672974 DOI: 10.3390/molecules28227513] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/02/2023] [Accepted: 11/06/2023] [Indexed: 11/26/2023] Open
Abstract
Triple-negative breast cancer (TNBC) is one of the most heterogeneous and aggressive breast cancer subtypes with a high risk of death on recurrence. To date, TNBC is very difficult to treat due to the lack of an effective targeted therapy. However, recent advances in the molecular characterization of TNBC are encouraging the development of novel drugs and therapeutic combinations for its therapeutic management. In the present review, we will provide an overview of the currently available standard therapies and new emerging therapeutic strategies against TNBC, highlighting the promises that newly developed small molecules, repositioned drugs, and combination therapies have of improving treatment efficacy against these tumors.
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Affiliation(s)
- Domiziana Masci
- Department of Basic Biotechnological Sciences, Intensivological and Perioperative Clinics, Catholic University of the Sacred Heart, Largo Francesco Vito 1, 00168 Rome, Italy; (D.M.); (A.U.)
| | - Chiara Naro
- Department of Neurosciences, Section of Human Anatomy, Catholic University of the Sacred Heart, Largo Francesco Vito 1, 00168 Rome, Italy; (C.N.); (C.S.)
- GSTeP-Organoids Research Core Facility, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Michela Puxeddu
- Laboratory Affiliated to Istituto Pasteur Italia—Fondazione Cenci Bolognetti, Department of Drug Chemistry and Technologies, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy; (M.P.); (G.L.R.)
| | - Andrea Urbani
- Department of Basic Biotechnological Sciences, Intensivological and Perioperative Clinics, Catholic University of the Sacred Heart, Largo Francesco Vito 1, 00168 Rome, Italy; (D.M.); (A.U.)
| | - Claudio Sette
- Department of Neurosciences, Section of Human Anatomy, Catholic University of the Sacred Heart, Largo Francesco Vito 1, 00168 Rome, Italy; (C.N.); (C.S.)
- GSTeP-Organoids Research Core Facility, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Giuseppe La Regina
- Laboratory Affiliated to Istituto Pasteur Italia—Fondazione Cenci Bolognetti, Department of Drug Chemistry and Technologies, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy; (M.P.); (G.L.R.)
| | - Romano Silvestri
- Laboratory Affiliated to Istituto Pasteur Italia—Fondazione Cenci Bolognetti, Department of Drug Chemistry and Technologies, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy; (M.P.); (G.L.R.)
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9
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Lashen AG, Toss MS, Wootton L, Green AR, Mongan NP, Madhusudan S, Rakha E. Characteristics and prognostic significance of polo-like kinase-1 (PLK1) expression in breast cancer. Histopathology 2023; 83:414-425. [PMID: 37222669 DOI: 10.1111/his.14960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 04/27/2023] [Accepted: 05/05/2023] [Indexed: 05/25/2023]
Abstract
AIM Polo-like kinase-1 (PLK1) plays a crucial role in cell cycle progression, and it is considered a potential therapeutic target in many cancers. Although the role of PLK1 is well established in triple-negative breast cancer (TNBC) as an oncogene, its role in luminal BC is still controversial. In this study, we aimed to evaluate the prognostic and predictive role of PLK1 in BC and its molecular subtypes. METHODS A large BC cohort (n = 1208) were immunohistochemically stained for PLK1. The association with clinicopathological, molecular subtypes, and survival data was analysed. PLK1 mRNA was evaluated in the publicly available datasets (n = 6774), including The Cancer Genome Atlas and the Kaplan-Meier Plotter tool. RESULTS 20% of the study cohort showed high cytoplasmic PLK1 expression. High PLK1 expression was significantly associated with a better outcome in the whole cohort, luminal BC. In contrast, high PLK1 expression was associated with a poor outcome in TNBC. Multivariate analyses indicated that high PLK1 expression is independently associated with longer survival in luminal BC, and in poorer prognosis in TNBC. At the mRNA levels, PLK1 expression was associated with short survival in TNBC consistent with the protein expression. However, in luminal BC, its prognostic value significantly varies between cohorts. CONCLUSION The prognostic role of PLK1 in BC is molecular subtype-dependent. As PLK1 inhibitors are introduced to clinical trials for several cancer types, our study supports evaluation of the pharmacological inhibition of PLK1 as an attractive therapeutic target in TNBC. However, in luminal BC, PLK1 prognostic role remains controversial.
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Affiliation(s)
- Ayat G Lashen
- Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
- Department of Pathology, Faculty of Medicine, Menoufia University, Shebin El Kom, Egypt
- Nottingham Breast Cancer Research Centre, University of Nottingham, Nottingham, UK
| | - Michael S Toss
- Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
- Nottingham Breast Cancer Research Centre, University of Nottingham, Nottingham, UK
- Department of Histopathology, Sheffield Teaching Hospitals NHS Foundation Trust Sheffield, Sheffield, UK
| | - Louisa Wootton
- Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
| | - Andrew R Green
- Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
- Nottingham Breast Cancer Research Centre, University of Nottingham, Nottingham, UK
| | - Nigel P Mongan
- School of Veterinary Medicine and Sciences, University of Nottingham, Nottingham, UK
- Department of Pharmacology, Weill Cornell Medicine, New York, NY, USA
| | - Srinivasan Madhusudan
- Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
- Department of Oncology, Nottingham University Hospitals, Nottingham, UK
| | - Emad Rakha
- Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
- Department of Pathology, Faculty of Medicine, Menoufia University, Shebin El Kom, Egypt
- Department of Pathology, Hamad Medical Corporation, Doha, Qatar
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10
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Park SY, Seo D, Jeon EH, Park JY, Jang BC, Kim JI, Im SS, Lee JH, Kim S, Cho CH, Lee YH. RPL27 contributes to colorectal cancer proliferation and stemness via PLK1 signaling. Int J Oncol 2023; 63:93. [PMID: 37387446 PMCID: PMC10552708 DOI: 10.3892/ijo.2023.5541] [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: 02/15/2023] [Accepted: 06/07/2023] [Indexed: 07/01/2023] Open
Abstract
Although expression of ribosomal protein L27 (RPL27) is upregulated in clinical colorectal cancer (CRC) tissue, to the best of our knowledge, the oncogenic role of RPL27 has not yet been defined. The present study aimed to investigate whether targeting RPL27 could alter CRC progression and determine whether RPL27 gains an extra‑ribosomal function during CRC development. Human CRC cell lines HCT116 and HT29 were transfected with RPL27‑specific small interfering RNA and proliferation was assessed in vitro and in vivo using proliferation assays, fluorescence‑activated cell sorting (FACS) and a xenograft mouse model. Furthermore, RNA sequencing, bioinformatic analysis and western blotting were conducted to explore the underlying mechanisms responsible for RPL27 silencing‑induced CRC phenotypical changes. Inhibiting RPL27 expression suppressed CRC cell proliferation and cell cycle progression and induced apoptotic cell death. Targeting RPL27 significantly inhibited growth of human CRC xenografts in nude mice. Notably, polo‑like kinase 1 (PLK1), which serves an important role in mitotic cell cycle progression and stemness, was downregulated in both HCT116 and HT29 cells following RPL27 silencing. RPL27 silencing reduced the levels of PLK1 protein and G2/M‑associated regulators such as phosphorylated cell division cycle 25C, CDK1 and cyclin B1. Silencing of RPL27 reduced the migration and invasion abilities and sphere‑forming capacity of the parental CRC cell population. In terms of phenotypical changes in cancer stem cells (CSCs), RPL27 silencing suppressed the sphere‑forming capacity of the isolated CD133+ CSC population, which was accompanied by decreased CD133 and PLK1 levels. Taken together, these findings indicated that RPL27 contributed to the promotion of CRC proliferation and stemness via PLK1 signaling and RPL27 may be a useful target in a next‑generation therapeutic strategy for both primary CRC treatment and metastasis prevention.
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Affiliation(s)
- So-Young Park
- Department of Molecular Medicine, Keimyung University School of Medicine, Daegu 42601, Republic of Korea
| | - Daekwan Seo
- Department of Bioinformatics, Psomagen Inc., Rockville, MD 20850, USA
| | - Eun-Hye Jeon
- Department of Molecular Medicine, Keimyung University School of Medicine, Daegu 42601, Republic of Korea
| | - Jee Young Park
- Department of Immunology, Keimyung University School of Medicine, Daegu 42601, Republic of Korea
| | - Byeong-Churl Jang
- Department of Molecular Medicine, Keimyung University School of Medicine, Daegu 42601, Republic of Korea
| | - Jee In Kim
- Department of Molecular Medicine, Keimyung University School of Medicine, Daegu 42601, Republic of Korea
| | - Seung-Soon Im
- Department of Physiology, Keimyung University School of Medicine, Daegu 42601, Republic of Korea
| | - Jae-Ho Lee
- Department of Anatomy, Keimyung University School of Medicine, Daegu 42601, Republic of Korea
| | - Shin Kim
- Department of Immunology, Keimyung University School of Medicine, Daegu 42601, Republic of Korea
| | - Chi Heum Cho
- Department of Obstetrics and Gynecology, Keimyung University School of Medicine, Daegu 42601, Republic of Korea
| | - Yun-Han Lee
- Department of Molecular Medicine, Keimyung University School of Medicine, Daegu 42601, Republic of Korea
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11
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Accattatis FM, Caruso A, Carleo A, Del Console P, Gelsomino L, Bonofiglio D, Giordano C, Barone I, Andò S, Bianchi L, Catalano S. CEBP-β and PLK1 as Potential Mediators of the Breast Cancer/Obesity Crosstalk: In Vitro and In Silico Analyses. Nutrients 2023; 15:2839. [PMID: 37447165 DOI: 10.3390/nu15132839] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 06/19/2023] [Accepted: 06/20/2023] [Indexed: 07/15/2023] Open
Abstract
Over the last two decades, obesity has reached pandemic proportions in several countries, and expanding evidence is showing its contribution to several types of malignancies, including breast cancer (BC). The conditioned medium (CM) from mature adipocytes contains a complex of secretes that may mimic the obesity condition in studies on BC cell lines conducted in vitro. Here, we report a transcriptomic analysis on MCF-7 BC cells exposed to adipocyte-derived CM and focus on the predictive functional relevance that CM-affected pathways/processes and related biomarkers (BMs) may have in BC response to obesity. CM was demonstrated to increase cell proliferation, motility and invasion as well as broadly alter the transcript profiles of MCF-7 cells by significantly modulating 364 genes. Bioinformatic functional analyses unraveled the presence of five highly relevant central hubs in the direct interaction networks (DIN), and Kaplan-Meier analysis sorted the CCAAT/enhancer binding protein beta (CEBP-β) and serine/threonine-protein kinase PLK1 (PLK1) as clinically significant biomarkers in BC. Indeed, CEBP-β and PLK1 negatively correlated with BC overall survival and were up-regulated by adipocyte-derived CM. In addition to their known involvement in cell proliferation and tumor progression, our work suggests them as a possible "deus ex machina" in BC response to fat tissue humoral products in obese women.
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Affiliation(s)
- Felice Maria Accattatis
- Department of Pharmacy, Health and Nutritional Sciences, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
| | - Amanda Caruso
- Department of Pharmacy, Health and Nutritional Sciences, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
| | - Alfonso Carleo
- Department of Pulmonology, Hannover Medical School, Carl-Neuberg-Straße, 30625 Hannover, Germany
| | - Piercarlo Del Console
- Department of Pharmacy, Health and Nutritional Sciences, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
| | - Luca Gelsomino
- Department of Pharmacy, Health and Nutritional Sciences, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
| | - Daniela Bonofiglio
- Department of Pharmacy, Health and Nutritional Sciences, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
- Centro Sanitario, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
| | - Cinzia Giordano
- Department of Pharmacy, Health and Nutritional Sciences, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
- Centro Sanitario, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
| | - Ines Barone
- Department of Pharmacy, Health and Nutritional Sciences, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
- Centro Sanitario, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
| | - Sebastiano Andò
- Department of Pharmacy, Health and Nutritional Sciences, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
- Centro Sanitario, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
| | - Laura Bianchi
- Section of Functional Proteomics, Department of Life Sciences, Via Aldo Moro, University of Siena, 53100 Siena, Italy
| | - Stefania Catalano
- Department of Pharmacy, Health and Nutritional Sciences, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
- Centro Sanitario, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
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12
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Shi X, Zhang W, Bao X, Liu X, Yang M, Yin C. Eugenol modulates the NOD1-NF-κB signaling pathway via targeting NF-κB protein in triple-negative breast cancer cells. Front Endocrinol (Lausanne) 2023; 14:1136067. [PMID: 36923216 PMCID: PMC10009163 DOI: 10.3389/fendo.2023.1136067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 02/06/2023] [Indexed: 03/03/2023] Open
Abstract
BACKGROUND The most aggressive subtype of breast cancer, triple-negative breast cancer (TNBC), has a worse prognosis and a higher probability of relapse since there is a narrow range of treatment options. Identifying and testing potential therapeutic targets for the treatment of TNBC is of high priority. METHODS Using a transcriptional signature of triple-negative breast cancer collected from Gene Expression Omnibus (GEO), CMap was utilized to reposition compounds for the treatment of TNBC. CCK8 and colony formation experiments were performed to detect the effect of the candidate drug on the proliferation of TNBC cells. Meanwhile, transwell and wound healing assay were implemented to detect cell metastasis change caused by the candidate drug. Moreover, the proteomic approach was presently ongoing to evaluate the underlying mechanism of the candidate drug in TNBC. Furthermore, drug affinity responsive target stability (DARTS) coupled with LC-MS/MS was carried out to explore the potential drug target candidate in TNBC cells. RESULTS We found that the most widely used medication, eugenol, reduced the growth and metastasis of TNBC cells. According to the underlying mechanism revealed by proteomics, eugenol could inhibit TNBC cell proliferation and metastasis via the NOD1-NF-κB signaling pathway. DARTS experiment further revealed that eugenol may bind to NF-κB in TNBC cells. CONCLUDES Our findings pointed out that eugenol was a potential candidate drug for the treatment of TNBC.
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Affiliation(s)
- Xiaoyu Shi
- Department of Pharmacy, Yantai University, Yantai, China
| | - Weiwei Zhang
- Department of Pharmacy, Yantai University, Yantai, China
| | - Xiao Bao
- Pharmacy Department, Wenzhou Nursing School, Wenzhou, China
| | - Xiaozhu Liu
- Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ming Yang
- Obstetrics Department, The First Dongguan Affiliated Hospital of Guangdong Medical University, Dongguan, China
| | - Chengliang Yin
- Macau University of Science and Technology, Faculty of Medicine, Macau, Macau SAR, China
- *Correspondence: Chengliang Yin,
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13
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Kim HJ, Seo BG, Seo EC, Lee KM, Hwangbo C. Checkpoint Kinase 1 (CHK1) Functions as Both a Diagnostic Marker and a Regulator of Epithelial-to-Mesenchymal Transition (EMT) in Triple-Negative Breast Cancer. Curr Issues Mol Biol 2022; 44:5848-5865. [PMID: 36547059 PMCID: PMC9777496 DOI: 10.3390/cimb44120398] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 11/17/2022] [Accepted: 11/19/2022] [Indexed: 11/25/2022] Open
Abstract
Triple-negative breast cancer (TNBC) is more difficult to treat and has a higher mortality rate than other subtypes. Although hormone receptor-targeted therapy is an effective treatment to increase survival rate in breast cancer patients, it is not suitable for TNBC patients. To address the issues, differentially expressed genes (DEGs) in TNBC patients from the Gene Expression Omnibus (GEO) database were analyzed. A total of 170 genes were obtained from three Genomic Spatial Events (GSEs) using the intersection of each GSE dataset and 61 DEGs were identified after validation with the gene enrichment analysis. We combined this with the degree scores from the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and protein-protein interaction (PPI) network, of which 7 genes were correlated with survival rate. Finally, a proteomics database revealed that only the CHK1 protein level was differently expressed in basal-like compared with other subtypes. We demonstrated that CHK1 expression was higher in TNBC cell lines compared with non-TNBC cell lines, and CHK1 promotes epithelial to mesenchymal transition (EMT) as well as migration and invasion ability. Our study provides new insight into the TNBC subnetwork that may be useful in the prognosis and treatment of TNBC patients.
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Affiliation(s)
- Hyo-Jin Kim
- Division of Life Science, College of Natural Sciences, Gyeongsang National University, Jinju 52828, Republic of Korea
- Division of Applied Life Science (BK21 Four), PMBBRC and Research Institute of Life Sciences, Geongsang National University, Jinju 52828, Republic of Korea
- Correspondence: (H.-J.K.); (C.H.)
| | - Bo-Gyeong Seo
- Division of Life Science, College of Natural Sciences, Gyeongsang National University, Jinju 52828, Republic of Korea
- Division of Applied Life Science (BK21 Four), PMBBRC and Research Institute of Life Sciences, Geongsang National University, Jinju 52828, Republic of Korea
| | - Eun-Chan Seo
- Division of Life Science, College of Natural Sciences, Gyeongsang National University, Jinju 52828, Republic of Korea
- Division of Applied Life Science (BK21 Four), PMBBRC and Research Institute of Life Sciences, Geongsang National University, Jinju 52828, Republic of Korea
| | - Kwang-Min Lee
- Division of Life Science, College of Natural Sciences, Gyeongsang National University, Jinju 52828, Republic of Korea
- Division of Applied Life Science (BK21 Four), PMBBRC and Research Institute of Life Sciences, Geongsang National University, Jinju 52828, Republic of Korea
| | - Cheol Hwangbo
- Division of Life Science, College of Natural Sciences, Gyeongsang National University, Jinju 52828, Republic of Korea
- Division of Applied Life Science (BK21 Four), PMBBRC and Research Institute of Life Sciences, Geongsang National University, Jinju 52828, Republic of Korea
- Correspondence: (H.-J.K.); (C.H.)
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14
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Liu C, Wang J, Zheng Y, Zhu Y, Zhou Z, Liu Z, Lin C, Wan Y, Wen Y, Liu C, Yuan M, Zeng YA, Yan Z, Ge G, Chen J. Autocrine pro-legumain promotes breast cancer metastasis via binding to integrin αvβ3. Oncogene 2022; 41:4091-4103. [PMID: 35854065 DOI: 10.1038/s41388-022-02409-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 06/29/2022] [Accepted: 07/04/2022] [Indexed: 11/09/2022]
Abstract
Tumor metastasis is the leading cause of cancer-associated mortality. Unfortunately, the underlying mechanism of metastasis is poorly understood. Expression of legumain (LGMN), an endo-lysosomal cysteine protease, positively correlates with breast cancer metastatic progression and poor prognosis. Here, we report that LGMN is secreted in the zymogen form by motile breast cancer cells. Through binding to cell surface integrin αvβ3 via an RGD motif, the autocrine pro-LGMN activates FAK-Src-RhoA signaling in cancer cells and promotes cancer cell migration and invasion independent of LGMN protease activity. Either silencing LGMN expression or mutationally abolishing pro-LGMN‒αvβ3 interaction significantly inhibits cancer cell migration and invasion in vitro and breast cancer metastasis in vivo. Finally, we developed a monoclonal antibody against LGMN RGD motif, which blocks pro-LGMN‒αvβ3 binding, and effectively suppresses cancer cell migration and invasion in vitro and breast cancer metastasis in vivo. Thus, disruption of pro-LGMN‒integrin αvβ3 interaction may be a potentially promising strategy for treating breast cancer metastasis.
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Affiliation(s)
- Cui Liu
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - JunLei Wang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - YaJuan Zheng
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yue Zhu
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - ZhengHang Zhou
- Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China
| | - ZhaoYuan Liu
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - ChangDong Lin
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopaedic Department of Tongji Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - YaoYing Wan
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - YaTing Wen
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - ChunYe Liu
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - MengYa Yuan
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yi Arial Zeng
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
- Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China
| | - ZhanJun Yan
- Department of Orthopedics, Suzhou Ninth People's Hospital, Soochow University, Suzhou, 215000, China.
| | - GaoXiang Ge
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
- Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China.
| | - JianFeng Chen
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
- Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China.
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15
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Chiappa M, Petrella S, Damia G, Broggini M, Guffanti F, Ricci F. Present and Future Perspective on PLK1 Inhibition in Cancer Treatment. Front Oncol 2022; 12:903016. [PMID: 35719948 PMCID: PMC9201472 DOI: 10.3389/fonc.2022.903016] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 05/09/2022] [Indexed: 12/13/2022] Open
Abstract
Polo-like kinase 1 (PLK1) is the principle member of the well conserved serine/threonine kinase family. PLK1 has a key role in the progression of mitosis and recent evidence suggest its important involvement in regulating the G2/M checkpoint, in DNA damage and replication stress response, and in cell death pathways. PLK1 expression is tightly spatially and temporally regulated to ensure its nuclear activation at the late S-phase, until the peak of expression at the G2/M-phase. Recently, new roles of PLK1 have been reported in literature on its implication in the regulation of inflammation and immunological responses. All these biological processes are altered in tumors and, considering that PLK1 is often found overexpressed in several tumor types, its targeting has emerged as a promising anti-cancer therapeutic strategy. In this review, we will summarize the evidence suggesting the role of PLK1 in response to DNA damage, including DNA repair, cell cycle progression, epithelial to mesenchymal transition, cell death pathways and cancer-related immunity. An update of PLK1 inhibitors currently investigated in preclinical and clinical studies, in monotherapy and in combination with existing chemotherapeutic drugs and targeted therapies will be discussed.
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Affiliation(s)
- Michela Chiappa
- Laboratory of Experimental Oncology, Department of Oncology, Istituto di Ricerche Farmacologiche Mario Negri-IRCCS, Milan, Italy
| | - Serena Petrella
- Laboratory of Experimental Oncology, Department of Oncology, Istituto di Ricerche Farmacologiche Mario Negri-IRCCS, Milan, Italy
| | - Giovanna Damia
- Laboratory of Experimental Oncology, Department of Oncology, Istituto di Ricerche Farmacologiche Mario Negri-IRCCS, Milan, Italy
| | - Massimo Broggini
- Laboratory of Molecular Pharmacology, Department of Oncology, Istituto di Ricerche Farmacologiche Mario Negri-IRCCS, Milan, Italy
| | - Federica Guffanti
- Laboratory of Experimental Oncology, Department of Oncology, Istituto di Ricerche Farmacologiche Mario Negri-IRCCS, Milan, Italy
| | - Francesca Ricci
- Laboratory of Experimental Oncology, Department of Oncology, Istituto di Ricerche Farmacologiche Mario Negri-IRCCS, Milan, Italy
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Yoshida K, Yokoi A, Yamamoto T, Hayashi Y, Nakayama J, Yokoi T, Yoshida H, Kato T, Kajiyama H, Yamamoto Y. Aberrant Activation of Cell-Cycle-Related Kinases and the Potential Therapeutic Impact of PLK1 or CHEK1 Inhibition in Uterine Leiomyosarcoma. Clin Cancer Res 2022; 28:2147-2159. [PMID: 35302600 PMCID: PMC9365385 DOI: 10.1158/1078-0432.ccr-22-0100] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 03/02/2022] [Accepted: 03/10/2022] [Indexed: 01/07/2023]
Abstract
PURPOSE Uterine leiomyosarcoma is among the most aggressive gynecological malignancies. No effective treatment strategies have been established. This study aimed to identify novel therapeutic targets for uterine leiomyosarcoma based on transcriptome analysis and assess the preclinical efficacy of novel drug candidates. EXPERIMENTAL DESIGN Transcriptome analysis was performed using fresh-frozen samples of six uterine leiomyosarcomas and three myomas. The Ingenuity Pathway Analysis (IPA) was used to identify potential therapeutic target genes for uterine leiomyosarcoma. Afterward, our results were validated using three independent datasets, including 40 uterine leiomyosarcomas. Then, the inhibitory effects of several selective inhibitors for the candidate genes were examined using SK-UT-1, SK-LMS-1, and SKN cell lines. RESULTS We identified 512 considerably dysregulated genes in uterine leiomyosarcoma compared with myoma. The IPA revealed that the function of several genes, including CHEK1 and PLK1, were predicted to be activated in uterine leiomyosarcoma. Through an in vitro drug screening, PLK1 or CHEK1 inhibitors (BI-2536 or prexasertib) were found to exert a superior anticancer effect against cell lines at low nanomolar concentrations and induce cell-cycle arrest. In SK-UT-1 tumor-bearing mice, BI-2536 monotherapy remarkably suppressed tumorigenicity. Moreover, the prexasertib and cisplatin combination therapy inhibited tumor proliferation and prolonged the time to tumor progression. CONCLUSIONS We identified upregulated expressions of PLK1 and CHEK1; their kinase activity was activated in uterine leiomyosarcoma. BI-2536 and prexasertib demonstrated a significant anticancer effect. Therefore, cell-cycle-related kinases may present a promising therapeutic strategy for the treatment of uterine leiomyosarcoma.
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Affiliation(s)
- Kosuke Yoshida
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Institute for Advanced Research, Nagoya University, Nagoya, Japan
- Laboratory of Integrative Oncology, National Cancer Center Research Institute, Tokyo, Japan
| | - Akira Yokoi
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Institute for Advanced Research, Nagoya University, Nagoya, Japan
| | - Tomofumi Yamamoto
- Laboratory of Integrative Oncology, National Cancer Center Research Institute, Tokyo, Japan
| | - Yusuke Hayashi
- Laboratory of Integrative Oncology, National Cancer Center Research Institute, Tokyo, Japan
| | - Jun Nakayama
- Laboratory of Integrative Oncology, National Cancer Center Research Institute, Tokyo, Japan
| | - Tsuyoshi Yokoi
- Division of Clinical Pharmacology, Department of Drug Safety Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hiroshi Yoshida
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
| | - Tomoyasu Kato
- Department of Gynecology, National Cancer Center Hospital, Tokyo, Japan
| | - Hiroaki Kajiyama
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yusuke Yamamoto
- Laboratory of Integrative Oncology, National Cancer Center Research Institute, Tokyo, Japan
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17
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Dmello C, Sonabend A, Arrieta VA, Zhang DY, Kanojia D, Chen L, Gould A, Zhang J, Kang SJ, Winter J, Horbinski C, Amidei C, Győrffy B, Cordero A, Lee-Chang C, Castro B, Hsu P, Ahmed AU, Lesniak MS, Stupp R, Sonabend AM. Translocon-associated protein subunit SSR3 determines and predicts susceptibility to paclitaxel in breast cancer and glioblastoma. Clin Cancer Res 2022; 28:3156-3169. [PMID: 35552677 DOI: 10.1158/1078-0432.ccr-21-2563] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 12/13/2021] [Accepted: 05/09/2022] [Indexed: 11/16/2022]
Abstract
PURPOSE Paclitaxel (PTX) is one the most potent and commonly used chemotherapies for breast and pancreatic cancer. Several ongoing clinical trials are investigating means of enhancing delivery of PTX across the blood-brain barrier for glioblastomas (GBMs). Despite the widespread use of PTX for breast cancer, and the initiative to repurpose this drug for gliomas, there are no predictive biomarkers to inform which patients will likely benefit from this therapy. EXPERIMENTAL DESIGN To identify predictive biomarkers for susceptibility to PTX, we performed a genome-wide CRISPR knock-out (KO) screen using human glioma cells. The genes whose KO was most enriched in the CRISPR screen underwent further selection based on their correlation with survival in the breast cancer patient cohorts treated with PTX and not in patients treated with other chemotherapies, a finding that was validated on a second independent patient cohort using progression-free survival. RESULTS Combination of CRISPR screen results with outcomes from taxane-treated breast cancer patients led to the discovery of endoplasmic reticulum (ER) protein SSR3 as a putative predictive biomarker for PTX. SSR3 protein levels showed positive correlation with susceptibility to PTX in breast cancer cells, glioma cells and in multiple intracranial glioma xenografts models. Knockout of SSR3 turned the cells resistant to PTX while its overexpression sensitized the cells to PTX. Mechanistically, SSR3 confers susceptibility to PTX through regulation of phosphorylation of ER stress sensor IRE1α. CONCLUSION Our hypothesis generating study showed SSR3 as a putative biomarker for susceptibility to PTX, warranting its prospective clinical validation.
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Affiliation(s)
| | - Aarón Sonabend
- Harvard T. H. Chan School of Public Health, Boston, United States
| | | | | | | | - Li Chen
- Northwestern University, Chicago, United States
| | - Andrew Gould
- Northwestern University, Chicago, Illinois, United States
| | - Jiangshan Zhang
- Harvard T. H. Chan School of Public Health, Boston, United States
| | | | - Jan Winter
- German Cancer Research Center, Heidelberg, Germany
| | - Craig Horbinski
- Northwestern University, Feinberg School of Medicine, Chicago, IL, United States
| | | | | | | | - Catalina Lee-Chang
- Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | | | - Patrick Hsu
- Innovative Genomics Institute, University of California, Berkeley, United States
| | | | - Maciej S Lesniak
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States
| | - Roger Stupp
- Northwestern University, Feinberg School of Medicine, Chicago, IL, United States
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18
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Patel JR, Thangavelu P, Terrell RM, Israel B, Sarkar AB, Davidson AM, Zhang K, Khupse R, Tilghman SL. A Novel Allosteric Inhibitor Targets PLK1 in Triple Negative Breast Cancer Cells. Biomolecules 2022; 12:531. [PMID: 35454120 PMCID: PMC9024838 DOI: 10.3390/biom12040531] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 03/28/2022] [Accepted: 03/29/2022] [Indexed: 01/02/2023] Open
Abstract
While Polo-like kinase 1 (PLK1) inhibitors have shown promise in clinical settings for treating triple-negative breast cancer tumors and other solid tumors, they are limited by their ability to bind non-selectively to the ATP kinase domain. Therefore, we sought to develop a PLK1 allosteric inhibitor targeting the PLK1 T-loop (a switch responsible for activation) and evaluate its effects in triple-negative breast cancer cells. A novel compound, RK-10, was developed based on an in silico model, and its effects on specificity, viability, migration, and cell cycle regulation in MCF-10A and MDA-MB 231 cells were evaluated. When MDA-MB 231 cells were treated with 0−50 µg/mL RK-10, phospho-PLK1 (Thr-210) was decreased in cells cultured adherently and cells cultured as mammospheres. RK-10 significantly inhibited viability after 24 h; however, by 48 h, 25−50 µM RK-10 caused >50% reduction. RK-10 attenuated wound healing by up to 99.7% and caused S and G2/M cell cycle arrest, which was associated with increased p21 expression. We developed a novel allosteric inhibitor which mediates anti-proliferative and anti-migratory properties through targeting phospho-PLK1 (Thr-210) in mammospheres and causing S phase and G2/M cell cycle arrest. Further development of PLK1 allosteric inhibitors may be a promising approach for TNBC treatment.
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Affiliation(s)
- Jankiben R. Patel
- Division of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Institutes of Public Health, Florida A&M University, 1415 S. Martin L. King Jr. Blvd, Tallahassee, FL 32307, USA; (J.R.P.); (R.M.T.); (B.I.); (A.M.D.)
| | - Prasad Thangavelu
- College of Pharmacy, University of Findlay, 1000 N Main St., Findlay, OH 45840, USA; (P.T.); (A.B.S.)
| | - Renee M. Terrell
- Division of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Institutes of Public Health, Florida A&M University, 1415 S. Martin L. King Jr. Blvd, Tallahassee, FL 32307, USA; (J.R.P.); (R.M.T.); (B.I.); (A.M.D.)
| | - Bridg’ette Israel
- Division of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Institutes of Public Health, Florida A&M University, 1415 S. Martin L. King Jr. Blvd, Tallahassee, FL 32307, USA; (J.R.P.); (R.M.T.); (B.I.); (A.M.D.)
| | - Arindam Basu Sarkar
- College of Pharmacy, University of Findlay, 1000 N Main St., Findlay, OH 45840, USA; (P.T.); (A.B.S.)
| | - A. Michael Davidson
- Division of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Institutes of Public Health, Florida A&M University, 1415 S. Martin L. King Jr. Blvd, Tallahassee, FL 32307, USA; (J.R.P.); (R.M.T.); (B.I.); (A.M.D.)
| | - Kun Zhang
- Department of Computer Science, Division of Mathematical and Physical Sciences, College of Arts and Sciences, Xavier University of Louisiana, New Orleans, LA 70125, USA;
| | - Rahul Khupse
- College of Pharmacy, University of Findlay, 1000 N Main St., Findlay, OH 45840, USA; (P.T.); (A.B.S.)
| | - Syreeta L. Tilghman
- Division of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Institutes of Public Health, Florida A&M University, 1415 S. Martin L. King Jr. Blvd, Tallahassee, FL 32307, USA; (J.R.P.); (R.M.T.); (B.I.); (A.M.D.)
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19
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Zhang Z. Lift the Veil of Breast Cancers Using 4 or Fewer Critical Genes. Cancer Inform 2022; 21:11769351221076360. [PMID: 35185329 PMCID: PMC8851495 DOI: 10.1177/11769351221076360] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Accepted: 12/30/2021] [Indexed: 11/21/2022] Open
Abstract
Known genes in the breast cancer study literature could not be confirmed whether they are vital to breast cancer formations due to lack of convincing accuracy, although they may be biologically directly related to breast cancer based on present biological knowledge. It is hoped vital genes can be identified with the highest possible accuracy, for example, 100% accuracy and convincing causal patterns beyond what has been known in breast cancer. One hope is that finding gene-gene interaction signatures and functional effects may solve the puzzle. This research uses a recently developed competing linear factor analysis method in differentially expressed gene detection to advance the study of breast cancer formation. Surprisingly, 3 genes are detected to be differentially expressed in TNBC and non-TNBC (Her2, Luminal A, Luminal B) samples with 100% sensitivity and 100% specificity in 1 study of triple-negative breast cancers (TNBC, with 54 675 genes and 265 samples). These 3 genes show a clear signature pattern of how TNBC patients can be grouped. For another TNBC study (with 54 673 genes and 66 samples), 4 genes bring the same accuracy of 100% sensitivity and 100% specificity. Four genes are found to have the same accuracy of 100% sensitivity and 100% specificity in 1 breast cancer study (with 54 675 genes and 121 samples), and the same 4 genes bring an accuracy of 100% sensitivity and 96.5% specificity in the fourth breast cancer study (with 60 483 genes and 1217 samples). These results show the 4-gene-based classifiers are robust and accurate. The detected genes naturally classify patients into subtypes, for example, 7 subtypes. These findings demonstrate the clearest gene-gene interaction patterns and functional effects with the smallest numbers of genes and the highest accuracy compared with findings reported in the literature. The 4 genes are considered to be essential for breast cancer studies and practice. They can provide focused, targeted researches and precision medicine for each subtype of breast cancer. New breast cancer disease types may be detected using the classified subtypes, and hence new effective therapies can be developed.
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Affiliation(s)
- Zhengjun Zhang
- Department of Statistics, University of Wisconsin, Madison, WI, USA
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20
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Kudo M, Zalles N, Distefano R, Nigita G, Veneziano D, Gasparini P, Croce CM. Synergistic apoptotic effect of miR-183-5p and Polo-Like kinase 1 inhibitor NMS-P937 in breast cancer cells. Cell Death Differ 2022; 29:407-419. [PMID: 34561554 PMCID: PMC8816952 DOI: 10.1038/s41418-021-00864-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 08/27/2021] [Accepted: 08/30/2021] [Indexed: 02/08/2023] Open
Abstract
MicroRNAs (miRNAs) are small noncoding RNAs that act as endogenous regulatory molecules targeting specific mRNAs for translational repression. Studies of breast cancer genomics indicate that breast cancer subtypes are distinguished and regulated by specific sets of miRNAs which affect activities such as tumor initiation, progression, and even drug response. Polo-like Kinase 1 (PLK1) is widely considered to be a proto-oncogene due to its increased expression in multiple tumor types, as well as its crucial role in regulating mitosis. Pharmacological inhibition of PLK1 can reduce tumor volume and induce tumor cell death in solid and hematologic malignancies. This prompted us to investigate how PLK1 inhibition with the target-specific inhibitor NMS-P937 would impact breast cancer cells, and how miRNAs may influence the overall response of these cells to this inhibition. We found that miR-183-5p targets PLK1 gene, effectively reducing its protein expression. Such miRNA-driven regulation of PLK1 expression sensitizes breast cancer cells to NMS-P937, resulting in synergistically increased apoptosis. We also show that the miRNA-regulated reduction of PLK1 influences the expression of apoptosis-related key proteins and possibly inducing further indirect PLK1 downmodulation through a DNMT1-p53 axis. These results suggest a potential biologically significant link between the expression of miR-183-5p and the efficacy of PLK1-specific inhibitors in breast cancer cells. Our work further elucidates how miR-183-5p regulates PLK1 gene while also enhancing NMS-P937 effect in breast cancer. Future studies assessing the role of miR-183-5p as a novel biomarker for anti-PLK1 chemotherapy agents are warranted.
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Affiliation(s)
- Masahisa Kudo
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Comprehensive Cancer Center, Columbus, OH, USA
| | - Nicole Zalles
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Comprehensive Cancer Center, Columbus, OH, USA
| | - Rosario Distefano
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Comprehensive Cancer Center, Columbus, OH, USA
| | - Giovanni Nigita
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Comprehensive Cancer Center, Columbus, OH, USA
| | - Dario Veneziano
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Comprehensive Cancer Center, Columbus, OH, USA
| | - Pierluigi Gasparini
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Comprehensive Cancer Center, Columbus, OH, USA.
- School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, NSW, Australia.
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.
| | - Carlo M Croce
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Comprehensive Cancer Center, Columbus, OH, USA.
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21
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Su S, Chhabra G, Singh CK, Ndiaye MA, Ahmad N. PLK1 inhibition-based combination therapies for cancer management. Transl Oncol 2022; 16:101332. [PMID: 34973570 PMCID: PMC8728518 DOI: 10.1016/j.tranon.2021.101332] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 12/01/2021] [Accepted: 12/23/2021] [Indexed: 02/07/2023] Open
Abstract
Polo-like kinase I (PLK1), a cell cycle regulating kinase, has been shown to have oncogenic function in several cancers. Although PLK1 inhibitors, such as BI2536, BI6727 (volasertib) and NMS-1286937 (onvansertib) are generally well-tolerated with a favorable pharmacokinetic profile, clinical successes are limited due to partial responses in cancer patients, especially those in advanced stages. Recently, combination therapies targeting multiple pathways are being tested for cancer management. In this review, we first discuss structure and function of PLK1, role of PLK1 in cancers, PLK1 specific inhibitors, and advantages of using combination therapy versus monotherapy followed by a critical account on PLK1-based combination therapies in cancer treatments, especially highlighting recent advancements and challenges. PLK1 inhibitors in combination with chemotherapy drugs and targeted small molecules have shown superior effects against cancer both in vitro and in vivo. PLK1-based combination therapies have shown increased apoptosis, disrupted cell cycle, and potential to overcome resistance in cancer cells/tissues over monotherapies. Further, with successes in preclinical experiments, researchers are validating such approaches in clinical trials. Although PLK1-based combination therapies have achieved initial success in clinical studies, there are examples where they have failed to improve patient survival. Therefore, further research is needed to identify and validate novel biologically informed co-targets for PLK1-based combinatorial therapies. Employing a network-based analysis, we identified potential PLK1 co-targets that could be examined further. In addition, understanding the mechanisms of synergism between PLK1 inhibitors and other agents may lead to a better approach on which agents to pair with PLK1 inhibition for optimum cancer treatment.
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Affiliation(s)
- Shengqin Su
- Department of Dermatology, University of Wisconsin, Wisconsin Institutes for Medical Research, 1111 Highland Avenue, Room 7045, Madison, WI 53705, USA
| | - Gagan Chhabra
- Department of Dermatology, University of Wisconsin, Wisconsin Institutes for Medical Research, 1111 Highland Avenue, Room 7045, Madison, WI 53705, USA
| | - Chandra K Singh
- Department of Dermatology, University of Wisconsin, Wisconsin Institutes for Medical Research, 1111 Highland Avenue, Room 7045, Madison, WI 53705, USA
| | - Mary A Ndiaye
- Department of Dermatology, University of Wisconsin, Wisconsin Institutes for Medical Research, 1111 Highland Avenue, Room 7045, Madison, WI 53705, USA
| | - Nihal Ahmad
- Department of Dermatology, University of Wisconsin, Wisconsin Institutes for Medical Research, 1111 Highland Avenue, Room 7045, Madison, WI 53705, USA; William S. Middleton VA Medical Center, Madison, WI 53705, USA.
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22
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Suresh S, Huard S, Brisson A, Némati F, Dakroub R, Poulard C, Ye M, Martel E, Reyes C, Silvestre DC, Meseure D, Nicolas A, Gentien D, Fayyad-Kazan H, Le Romancer M, Decaudin D, Roman-Roman S, Dubois T. PRMT1 Regulates EGFR and Wnt Signaling Pathways and Is a Promising Target for Combinatorial Treatment of Breast Cancer. Cancers (Basel) 2022; 14:cancers14020306. [PMID: 35053470 PMCID: PMC8774276 DOI: 10.3390/cancers14020306] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/04/2022] [Accepted: 01/06/2022] [Indexed: 02/04/2023] Open
Abstract
Simple Summary Patients with triple-negative breast cancer (TNBC) respond well to chemotherapy initially but are prone to relapse. Searching for new therapeutic targets, we found that PRMT1 is highly expressed in TNBC tumor samples and is essential for breast cancer cell survival. Furthermore, this study proposes that targeting PRMT1 in combination with chemotherapies could improve the survival outcome of TNBC patients. Abstract Identifying new therapeutic strategies for triple-negative breast cancer (TNBC) patients is a priority as these patients are highly prone to relapse after chemotherapy. Here, we found that protein arginine methyltransferase 1 (PRMT1) is highly expressed in all breast cancer subtypes. PRMT1 depletion decreases cell survival by inducing DNA damage and apoptosis in various breast cancer cell lines. Transcriptomic analysis and chromatin immunoprecipitation revealed that PRMT1 regulates the epidermal growth factor receptor (EGFR) and the Wnt signaling pathways, reported to be activated in TNBC. PRMT1 enzymatic activity is also required to stimulate the canonical Wnt pathway. Type I PRMT inhibitors decrease breast cancer cell proliferation and show anti-tumor activity in a TNBC xenograft model. These inhibitors display synergistic interactions with some chemotherapies used to treat TNBC patients as well as erlotinib, an EGFR inhibitor. Therefore, targeting PRMT1 in combination with these chemotherapies may improve existing treatments for TNBC patients.
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Affiliation(s)
- Samyuktha Suresh
- Breast Cancer Biology Group, Translational Research Department, Institut Curie-PSL Research University, 75005 Paris, France; (S.S.); (S.H.); (A.B.); (R.D.); (M.Y.); (D.C.S.)
| | - Solène Huard
- Breast Cancer Biology Group, Translational Research Department, Institut Curie-PSL Research University, 75005 Paris, France; (S.S.); (S.H.); (A.B.); (R.D.); (M.Y.); (D.C.S.)
| | - Amélie Brisson
- Breast Cancer Biology Group, Translational Research Department, Institut Curie-PSL Research University, 75005 Paris, France; (S.S.); (S.H.); (A.B.); (R.D.); (M.Y.); (D.C.S.)
| | - Fariba Némati
- Pre-Clinical Investigation Laboratory, Translational Research Department, Institut Curie-PSL Research University, 75005 Paris, France; (F.N.); (D.D.)
| | - Rayan Dakroub
- Breast Cancer Biology Group, Translational Research Department, Institut Curie-PSL Research University, 75005 Paris, France; (S.S.); (S.H.); (A.B.); (R.D.); (M.Y.); (D.C.S.)
- Laboratory of Cancer Biology and Molecular Immunology, Faculty of Sciences-I, Lebanese University, Hadath, Beirut 1003, Lebanon;
| | - Coralie Poulard
- Cancer Research Center of Lyon, CNRS UMR5286, Inserm U1052, University of Lyon, 69000 Lyon, France; (C.P.); (M.L.R.)
| | - Mengliang Ye
- Breast Cancer Biology Group, Translational Research Department, Institut Curie-PSL Research University, 75005 Paris, France; (S.S.); (S.H.); (A.B.); (R.D.); (M.Y.); (D.C.S.)
| | - Elise Martel
- Platform of Experimental Pathology, Department of Diagnostic and Theranostic Medicine, Institut Curie-Hospital, 75005 Paris, France; (E.M.); (D.M.); (A.N.)
| | - Cécile Reyes
- Genomics Core Facility, Translational Research Department, Institut Curie-PSL Research University, 75005 Paris, France; (C.R.); (D.G.)
| | - David C. Silvestre
- Breast Cancer Biology Group, Translational Research Department, Institut Curie-PSL Research University, 75005 Paris, France; (S.S.); (S.H.); (A.B.); (R.D.); (M.Y.); (D.C.S.)
| | - Didier Meseure
- Platform of Experimental Pathology, Department of Diagnostic and Theranostic Medicine, Institut Curie-Hospital, 75005 Paris, France; (E.M.); (D.M.); (A.N.)
| | - André Nicolas
- Platform of Experimental Pathology, Department of Diagnostic and Theranostic Medicine, Institut Curie-Hospital, 75005 Paris, France; (E.M.); (D.M.); (A.N.)
| | - David Gentien
- Genomics Core Facility, Translational Research Department, Institut Curie-PSL Research University, 75005 Paris, France; (C.R.); (D.G.)
| | - Hussein Fayyad-Kazan
- Laboratory of Cancer Biology and Molecular Immunology, Faculty of Sciences-I, Lebanese University, Hadath, Beirut 1003, Lebanon;
| | - Muriel Le Romancer
- Cancer Research Center of Lyon, CNRS UMR5286, Inserm U1052, University of Lyon, 69000 Lyon, France; (C.P.); (M.L.R.)
| | - Didier Decaudin
- Pre-Clinical Investigation Laboratory, Translational Research Department, Institut Curie-PSL Research University, 75005 Paris, France; (F.N.); (D.D.)
| | - Sergio Roman-Roman
- Translational Research Department, Institut Curie-PSL Research University, 75005 Paris, France;
| | - Thierry Dubois
- Breast Cancer Biology Group, Translational Research Department, Institut Curie-PSL Research University, 75005 Paris, France; (S.S.); (S.H.); (A.B.); (R.D.); (M.Y.); (D.C.S.)
- Correspondence: ; Tel.: +33-1-56246250
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23
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Quan M, Oh Y, Cho SY, Kim JH, Moon HG. Polo-Like Kinase 1 Regulates Chromosomal Instability and Paclitaxel Resistance in Breast Cancer Cells. J Breast Cancer 2022; 25:178-192. [PMID: 35775700 PMCID: PMC9250878 DOI: 10.4048/jbc.2022.25.e28] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 05/23/2022] [Accepted: 06/10/2022] [Indexed: 12/26/2022] Open
Abstract
Purpose Chromosomal instability (CIN) contributes to intercellular genetic heterogeneity and has been implicated in paclitaxel (PTX) resistance in breast cancer. In this study, we explored polo-like kinase 1 (PLK1) as an important regulator of mitotic integrity and as a useful predictive biomarker for PTX resistance in breast cancer. Methods We performed PTX resistance screening using the human kinome CRISPR/Cas9 library in breast cancer cells. In vitro cell proliferation and apoptosis assays and in vivo xenograft experiments were performed to determine the effects of PLK1 on breast cancer cells. Immunofluorescence microscopy was used to measure the degree of multipolar cell division. Results Kinome-wide CRISPR/Cas9 screening identified various kinases involved in PTX resistance in breast cancer cells; among these, PLK1 was chosen for further experiments. PLK1 knockdown inhibited the proliferation of MDA-MB-231 and MDA-MB-468 cells in vitro and in vivo. Moreover, PLK1 silencing sensitized breast cancer cells and mouse xenograft tumor models to PTX cytotoxicity. Silencing of PLK1 induced the formation of multipolar spindles and increased the percentage of multipolar cells. In addition, PLK1 silencing resulted in the downregulation of BubR1 and Mad2 in breast cancer cells. Furthermore, PLK1 upregulation in primary breast cancer was associated with decreased overall patient survival based on the analysis of The Cancer Genome Atlas and Molecular Taxonomy of Breast Cancer International Consortium databases. Conclusion PLK1 plays an important role in PTX resistance by regulating CIN in breast cancer cells. Targeting PLK1 may be an effective treatment strategy for PTX-resistant breast cancers.
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Affiliation(s)
- Mingji Quan
- Interdisciplinary Graduate Program in Cancer Biology, Seoul National University College of Medicine, Seoul, Korea
| | - Yumi Oh
- Medical Research Center, Genomic Medicine Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Sung-Yup Cho
- Medical Research Center, Genomic Medicine Institute, Seoul National University College of Medicine, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Ju Hee Kim
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea
| | - Hyeong-Gon Moon
- Cancer Research Institute, Seoul National University, Seoul, Korea
- Department of Surgery, Seoul National University Hospital, Seoul, Korea
- Department of Surgery, Seoul National University College of Medicine, Seoul, Korea
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24
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Zhang Y, Ma X, Li H, Zhuang J, Feng F, Liu L, Liu C, Sun C. Identifying the Effect of Ursolic Acid Against Triple-Negative Breast Cancer: Coupling Network Pharmacology With Experiments Verification. Front Pharmacol 2021; 12:685773. [PMID: 34858165 PMCID: PMC8631906 DOI: 10.3389/fphar.2021.685773] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 10/20/2021] [Indexed: 11/13/2022] Open
Abstract
Triple negative breast cancer (TNBC) is a subtype of breast cancer with complex heterogeneity, high invasiveness, and long-term poor prognosis. With the development of molecular pathology and molecular genetics, the gene map of TNBC with distinctive biological characteristics has been outlined more clearly. Natural plant extracts such as paclitaxel, vinblastine, colchicine etc., have occupied an important position in the treatment of hormone-independent breast cancer. Ursolic acid (UA), a triterpenoid acid compound derived from apple, pear, loquat leaves, etc., has been reported to be effective in a variety of cancer treatments, but there are few reports on the treatment of TNBC. This study performed comprehensive bioinformatics analysis and in vitro experiments to identify the effect of UA on TNBC treatment and its potential molecular mechanism. Our results showed that UA could not only reduce the proliferation, migration, and invasion in MDA-MB-231 and MDA-MB-468 cell lines with a dose-dependent manner but also induce cell cycle arrest and apoptosis. Meanwhile, we collected the gene expression data GSE45827 and GSE65194 from GEO for comparison between TNBC and normal cell type and obtained 724 DEGs. Subsequently, PLK1 and CCNB1 related to TNBC were screened as the key targets via topological analysis and molecular docking, and gene set enrichment analysis identified the key pathway as the p53 signaling pathway. In addition, quantitative real-time PCR and western blot verified the key genes were PLK1 and CCNB1. In vivo and in vitro experiments showed that UA could inhibit the growth of TNBC cells, and down-regulate the protein expression levels of PLK1 and CCNB1 by mediating p53 signaling pathway. These findings provide strong evidence for UA intervention in TNBC via multi-target therapy.
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Affiliation(s)
- Yubao Zhang
- School of Basic Medicine, Qingdao University, Qingdao, China
| | - Xiaoran Ma
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Huayao Li
- College of Basic Medical, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jing Zhuang
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang, China
| | - Fubin Feng
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang, China
| | - Lijuan Liu
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang, China
| | - Cun Liu
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Changgang Sun
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang, China.,Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao, China
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25
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Gao Y, Kabotyanski EB, Shepherd JH, Villegas E, Acosta D, Hamor C, Sun T, Montmeyor-Garcia C, He X, Dobrolecki LE, Westbrook TF, Lewis MT, Hilsenbeck SG, Zhang XHF, Perou CM, Rosen JM. Tumor suppressor PLK2 may serve as a biomarker in triple-negative breast cancer for improved response to PLK1 therapeutics. CANCER RESEARCH COMMUNICATIONS 2021; 1:178-193. [PMID: 35156101 PMCID: PMC8827906 DOI: 10.1158/2767-9764.crc-21-0106] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/27/2023]
Abstract
Polo-like kinase (PLK) family members play important roles in cell cycle regulation. The founding member PLK1 is oncogenic and preclinically validated as a cancer therapeutic target. Paradoxically, frequent loss of chromosome 5q11-35 which includes PLK2 is observed in basal-like breast cancer. In this study, we found that PLK2 was tumor suppressive in breast cancer, preferentially in basal-like and triple-negative breast cancer (TNBC) subtypes. Knockdown of PLK1 rescued phenotypes induced by PLK2-loss both in vitro and in vivo. We also demonstrated that PLK2 directly interacted with PLK1 at prometaphase through the kinase but not the polo-box domains of PLK2, suggesting PLK2 functioned at least partially through the interaction with PLK1. Furthermore, an improved treatment response was seen in both Plk2-deleted/low mouse preclinical and PDX TNBC models using the PLK1 inhibitor volasertib alone or in combination with carboplatin. Re-expression of PLK2 in an inducible PLK2-null mouse model reduced the therapeutic efficacy of volasertib. In summary, this study delineates the effects of chromosome 5q loss in TNBC that includes PLK2, the relationship between PLK2 and PLK1, and how this may render PLK2-deleted/low tumors more sensitive to PLK1 inhibition in combination with chemotherapy.
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Affiliation(s)
- Yang Gao
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas
| | - Elena B. Kabotyanski
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | | | | | - Deanna Acosta
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Clark Hamor
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Tingting Sun
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
- Verna & Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas
| | | | - Xiaping He
- The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Lacey E. Dobrolecki
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas
| | - Thomas F. Westbrook
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
- Verna & Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas
| | - Michael T. Lewis
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas
| | - Susan G. Hilsenbeck
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas
| | - Xiang H.-F. Zhang
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas
- McNair Medical Institute, Baylor College of Medicine, Houston, Texas
| | - Charles M. Perou
- The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Jeffrey M. Rosen
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
- Corresponding Author: Jeffrey M. Rosen, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030. Phone: 832-215-9503; E-mail:
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Hirai Y, Hirose H, Imanishi M, Asai T, Futaki S. Cytosolic protein delivery using pH-responsive, charge-reversible lipid nanoparticles. Sci Rep 2021; 11:19896. [PMID: 34615928 PMCID: PMC8494842 DOI: 10.1038/s41598-021-99180-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 09/01/2021] [Indexed: 01/15/2023] Open
Abstract
Although proteins have attractive features as biopharmaceuticals, the difficulty in delivering them into the cell interior limits their applicability. Lipid nanoparticles (LNPs) are a promising class of delivery vehicles. When designing a protein delivery system based on LNPs, the major challenges include: (i) formulation of LNPs with defined particle sizes and dispersity, (ii) efficient encapsulation of cargo proteins into LNPs, and (iii) effective cellular uptake and endosomal release into the cytosol. Dioleoylglycerophosphate-diethylenediamine (DOP-DEDA) is a pH-responsive, charge-reversible lipid. The aim of this study was to evaluate the applicability of DOP-DEDA-based LNPs for intracellular protein delivery. Considering the importance of electrostatic interactions in protein encapsulation into LNPs, a negatively charged green fluorescent protein (GFP) analog was successfully encapsulated into DOP-DEDA-based LNPs to yield diameters and polydispersity index of < 200 nm and < 0.2, respectively. Moreover, ~ 80% of the cargo proteins was encapsulated into the LNPs. Cytosolic distribution of fluorescent signals of the protein was observed for up to ~ 90% cells treated with the LNPs, indicating the facilitated endocytic uptake and endosomal escape of the cargo attained using the LNP system.
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Affiliation(s)
- Yusuke Hirai
- Institute for Chemical Research, Kyoto University, Uji, Kyoto, 611-0011, Japan
| | - Hisaaki Hirose
- Institute for Chemical Research, Kyoto University, Uji, Kyoto, 611-0011, Japan
| | - Miki Imanishi
- Institute for Chemical Research, Kyoto University, Uji, Kyoto, 611-0011, Japan
| | - Tomohiro Asai
- Department of Medical Biochemistry, School of Pharmaceutical Sciences, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka, 422-8526, Japan.
| | - Shiroh Futaki
- Institute for Chemical Research, Kyoto University, Uji, Kyoto, 611-0011, Japan.
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27
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Radic Shechter K, Kafkia E, Zirngibl K, Gawrzak S, Alladin A, Machado D, Lüchtenborg C, Sévin DC, Brügger B, Patil KR, Jechlinger M. Metabolic memory underlying minimal residual disease in breast cancer. Mol Syst Biol 2021; 17:e10141. [PMID: 34694069 PMCID: PMC8543468 DOI: 10.15252/msb.202010141] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 09/23/2021] [Accepted: 09/29/2021] [Indexed: 01/11/2023] Open
Abstract
Tumor relapse from treatment-resistant cells (minimal residual disease, MRD) underlies most breast cancer-related deaths. Yet, the molecular characteristics defining their malignancy have largely remained elusive. Here, we integrated multi-omics data from a tractable organoid system with a metabolic modeling approach to uncover the metabolic and regulatory idiosyncrasies of the MRD. We find that the resistant cells, despite their non-proliferative phenotype and the absence of oncogenic signaling, feature increased glycolysis and activity of certain urea cycle enzyme reminiscent of the tumor. This metabolic distinctiveness was also evident in a mouse model and in transcriptomic data from patients following neo-adjuvant therapy. We further identified a marked similarity in DNA methylation profiles between tumor and residual cells. Taken together, our data reveal a metabolic and epigenetic memory of the treatment-resistant cells. We further demonstrate that the memorized elevated glycolysis in MRD is crucial for their survival and can be targeted using a small-molecule inhibitor without impacting normal cells. The metabolic aberrances of MRD thus offer new therapeutic opportunities for post-treatment care to prevent breast tumor recurrence.
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Affiliation(s)
| | - Eleni Kafkia
- European Molecular Biology Laboratory (EMBL)HeidelbergGermany
- The Medical Research Council Toxicology UnitUniversity of CambridgeCambridgeUK
| | - Katharina Zirngibl
- European Molecular Biology Laboratory (EMBL)HeidelbergGermany
- The Medical Research Council Toxicology UnitUniversity of CambridgeCambridgeUK
| | - Sylwia Gawrzak
- European Molecular Biology Laboratory (EMBL)HeidelbergGermany
- Present address:
Cellzome GmbHFunctional GenomicsGlaxoSmithKlineHeidelbergGermany
| | - Ashna Alladin
- European Molecular Biology Laboratory (EMBL)HeidelbergGermany
| | - Daniel Machado
- European Molecular Biology Laboratory (EMBL)HeidelbergGermany
- Present address:
Norwegian University of Science and TechnologyTrondheimNorway
| | | | - Daniel C Sévin
- Cellzome GmbHFunctional GenomicsGlaxoSmithKlineHeidelbergGermany
| | - Britta Brügger
- Biochemie‐Zentrum der Universität Heidelberg (BZH)HeidelbergGermany
| | - Kiran R Patil
- European Molecular Biology Laboratory (EMBL)HeidelbergGermany
- The Medical Research Council Toxicology UnitUniversity of CambridgeCambridgeUK
| | - Martin Jechlinger
- European Molecular Biology Laboratory (EMBL)HeidelbergGermany
- MOLIT Institute gGmbHHeilbronnGermany
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28
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Wang B, Huang X, Liang H, Yang H, Guo Z, Ai M, Zhang J, Khan M, Tian Y, Sun Q, Mao Z, Zheng R, Yuan Y. PLK1 Inhibition Sensitizes Breast Cancer Cells to Radiation via Suppressing Autophagy. Int J Radiat Oncol Biol Phys 2021; 110:1234-1247. [PMID: 33621661 DOI: 10.1016/j.ijrobp.2021.02.025] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 01/13/2021] [Accepted: 02/11/2021] [Indexed: 12/24/2022]
Abstract
PURPOSE Polo-like kinase 1 (PLK1) is a protein kinase that is overexpressed in breast cancer and may represent an attractive target for breast cancer treatment. However, few studies have investigated the relationship between PLK1 and radiosensitivity in breast cancer. Here, we attempted to explore whether PLK1 inhibition could sensitize breast cancer cells to radiation. METHODS AND MATERIALS Breast cancer cells were treated with PLK1 small interference RNA or the PLK1-inhibitor, GSK461364. Cell proliferation was assessed using a colony formation assay. Cell cycle analyses were performed by flow cytometry. DNA damage, autophagy, and reactive oxygen species induced by ionizing radiation were detected by immunofluorescence, Western blot, and flow cytometry, respectively. Microtubule-associated protein 1 light chain 3 alpha (LC3) puncta were detected using an immunofluorescence assay. A clonogenic survival assay was used to determine the effect of PLK1 inhibition on cell radiosensitivity. A xenograft mouse model of breast cancer cells was used to investigate the potential synergistic effects of PLK1 inhibition and irradiation in vivo. Finally, the expression of PLK1 and LC3 in the breast cancer tissues was evaluated by immunohistochemistry. RESULTS PLK1 inhibition significantly suppressed the proliferation and increased the radiosensitivity of breast cancer cells. Pharmacologic inhibition of PLK1 by the selective inhibitor, GSK461364, enhanced the radiosensitivity of breast cancer cells in vivo (n = 4, P = .002). Mechanistically, PLK1 inhibition led to the downregulation of radiation-induced reactive oxygen species and autophagy, thereby increasing the radiosensitivity of breast cancer cells. Additionally, we detected a positive correlation between the expression of PLK1 and LC3 in human breast cancer samples (n = 102, R = 0.486, P = .005). CONCLUSIONS Our findings indicate that PLK1 inhibition enhances the radiosensitivity of breast cancer cells in a manner associated with the suppression of radiation-induced autophagy. The inhibition of PLK1 represents a promising strategy for radiosensitizing breast cancer.
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Affiliation(s)
- Baiyao Wang
- Department of Radiation Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China
| | - Xiaoting Huang
- Department of Radiation Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China
| | - Huiping Liang
- Department of Radiation Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China
| | - Hongli Yang
- Department of Radiation Oncology, Shenzhen People's Hospital, Shenzhen, Guangdong Province, People's Republic of China
| | - Zhaoze Guo
- Breast Center, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, People's Republic of China
| | - Meiling Ai
- Department of Radiation Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China
| | - Jian Zhang
- Department of Radiation Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China
| | - Muhammad Khan
- Department of Radiation Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China
| | - Yunhong Tian
- Department of Radiation Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China
| | - Quanquan Sun
- Department of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang Province, People's Republic of China
| | - Zixu Mao
- Department of Pharmacology and Chemical Biology, School of Medicine, Emory University, Atlanta, Georgia
| | - Ronghui Zheng
- Department of Radiation Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China
| | - Yawei Yuan
- Department of Radiation Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China.
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Ge C, Luo L, Zhang J, Meng X, Chen Y. FRL: An Integrative Feature Selection Algorithm Based on the Fisher Score, Recursive Feature Elimination, and Logistic Regression to Identify Potential Genomic Biomarkers. BIOMED RESEARCH INTERNATIONAL 2021; 2021:4312850. [PMID: 34235216 PMCID: PMC8218915 DOI: 10.1155/2021/4312850] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 05/21/2021] [Indexed: 01/06/2023]
Abstract
Accurate screening on cancer biomarkers contributes to health assessment, drug screening, and targeted therapy for precision medicine. The rapid development of high-throughput sequencing technology has identified abundant genomic biomarkers, but most of them are limited to single-cancer analysis. Based on the combination of Fisher score, Recursive feature elimination, and Logistic regression (FRL), this paper proposes an integrative feature selection algorithm named FRL to explore potential cancer genomic biomarkers on cancer subsets. Fisher score is initially used to calculate the weights of genes to rapidly reduce the dimension. Recursive feature elimination and Logistic regression are then jointly employed to extract the optimal subset. Compared to the current differential expression analysis tool GEO2R based on the Limma algorithm, FRL has greater classification precision than Limma. Compared with five traditional feature selection algorithms, FRL exhibits excellent performance on accuracy (ACC) and F1-score and greatly improves computational efficiency. On high-noise datasets such as esophageal cancer, the ACC of FRL is 30% superior to the average ACC achieved with other traditional algorithms. As biomarkers found in multiple studies are more reliable and reproducible, and reveal stronger association on potential clinical value than single analysis, through literature review and spatial analyses of gene functional enrichment and functional pathways, we conduct cluster analysis on 10 diverse cancers with high mortality and form a potential biomarker module comprising 19 genes. All genes in this module can serve as potential biomarkers to provide more information on the overall oncogenesis mechanism for the detection of diverse early cancers and assist in targeted anticancer therapies for further developments in precision medicine.
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Affiliation(s)
- Chenyu Ge
- School of Mechanical, Electrical, & Information Engineering, Shandong University, Jinan 250000, China
| | - Liqun Luo
- Department of Information Management, Peking University, Beijing 100000, China
| | - Jialin Zhang
- Laboratoire de Recherche en Informatique, Paris-Saclay University, Paris 91405, France
| | - Xiangbing Meng
- Qufu Institute of Traditional Chinese Medical Health and Rehabilitation, Qufu 273100, China
| | - Yun Chen
- The Second Hospital Affiliated to Shandong University of TCM, Jinan 250000, China
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30
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Peng D, Gleyzer R, Tai WH, Kumar P, Bian Q, Isaacs B, da Rocha EL, Cai S, DiNapoli K, Huang FW, Cahan P. Evaluating the transcriptional fidelity of cancer models. Genome Med 2021; 13:73. [PMID: 33926541 PMCID: PMC8086312 DOI: 10.1186/s13073-021-00888-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 04/15/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Cancer researchers use cell lines, patient-derived xenografts, engineered mice, and tumoroids as models to investigate tumor biology and to identify therapies. The generalizability and power of a model derive from the fidelity with which it represents the tumor type under investigation; however, the extent to which this is true is often unclear. The preponderance of models and the ability to readily generate new ones has created a demand for tools that can measure the extent and ways in which cancer models resemble or diverge from native tumors. METHODS We developed a machine learning-based computational tool, CancerCellNet, that measures the similarity of cancer models to 22 naturally occurring tumor types and 36 subtypes, in a platform and species agnostic manner. We applied this tool to 657 cancer cell lines, 415 patient-derived xenografts, 26 distinct genetically engineered mouse models, and 131 tumoroids. We validated CancerCellNet by application to independent data, and we tested several predictions with immunofluorescence. RESULTS We have documented the cancer models with the greatest transcriptional fidelity to natural tumors, we have identified cancers underserved by adequate models, and we have found models with annotations that do not match their classification. By comparing models across modalities, we report that, on average, genetically engineered mice and tumoroids have higher transcriptional fidelity than patient-derived xenografts and cell lines in four out of five tumor types. However, several patient-derived xenografts and tumoroids have classification scores that are on par with native tumors, highlighting both their potential as faithful model classes and their heterogeneity. CONCLUSIONS CancerCellNet enables the rapid assessment of transcriptional fidelity of tumor models. We have made CancerCellNet available as a freely downloadable R package ( https://github.com/pcahan1/cancerCellNet ) and as a web application ( http://www.cahanlab.org/resources/cancerCellNet_web ) that can be applied to new cancer models that allows for direct comparison to the cancer models evaluated here.
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Affiliation(s)
- Da Peng
- grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Rachel Gleyzer
- grid.21107.350000 0001 2171 9311Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Wen-Hsin Tai
- grid.21107.350000 0001 2171 9311Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Pavithra Kumar
- grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA ,grid.21107.350000 0001 2171 9311Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Qin Bian
- grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA ,grid.21107.350000 0001 2171 9311Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Bradley Isaacs
- grid.21107.350000 0001 2171 9311Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Edroaldo Lummertz da Rocha
- grid.411237.20000 0001 2188 7235Department of Microbiology, Immunology and Parasitology, Federal University of Santa Catarina, Florianópolis, SC Brazil
| | - Stephanie Cai
- grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Kathleen DiNapoli
- grid.21107.350000 0001 2171 9311Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA ,grid.21107.350000 0001 2171 9311Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218 USA
| | - Franklin W. Huang
- grid.266102.10000 0001 2297 6811Division of Hematology/Oncology, Department of Medicine; Helen Diller Family Cancer Center; Bakar Computational Health Sciences Institute; Institute for Human Genetics, University of California, San Francisco, San Francisco, CA USA
| | - Patrick Cahan
- grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA ,grid.21107.350000 0001 2171 9311Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA ,grid.21107.350000 0001 2171 9311Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
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Xiao X, Zhang Z, Luo R, Peng R, Sun Y, Wang J, Chen X. Identification of potential oncogenes in triple-negative breast cancer based on bioinformatics analyses. Oncol Lett 2021; 21:363. [PMID: 33747220 PMCID: PMC7967975 DOI: 10.3892/ol.2021.12624] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 02/02/2021] [Indexed: 12/28/2022] Open
Abstract
Triple-negative breast cancer (TNBC) is a subtype with high rates of metastasis, poor prognosis and limited therapeutic options. The present study aimed to identify the potential pivotal genes for prognosis and treatment in TNBC. A total of two microarray expression datasets, GSE38959 and GSE65212, were downloaded from the Gene Expression Omnibus database, and RNA-sequencing data of breast cancer from The Cancer Genome Atlas database were analyzed to screen out differentially expressed genes (DEGs) between TNBC tissues and normal tissues. The intersection of DEGs was submitted to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses. A protein-protein interaction (PPI) network was constructed and visualized using Cytoscape software. Furthermore, module, centrality and survival analyses were performed to identify the potential hub genes. Reverse transcription-quantitative (RT-q)PCR analysis was performed to detect the expression levels of key genes in TNBC samples, and 377 DEGs were identified. Functional analysis revealed that the DEGs were significantly involved in cell cycle process, nuclear division and the p53 signaling pathway. A PPI network was constructed with these DEGs, and 66 core genes with high centrality features in module 1 were selected. Relapse-free survival analysis confirmed that high expression levels of five genes [cyclin B1 (CCNB1), GINS complex subunit 2, non-SMC condensin I complex subunit G (NCAPG), minichromosome maintenance 4 (MCM4) and ribonucleotide reductase regulatory subunit M2 (RRM2)] were significantly associated with poor prognosis in TNBC. RT-qPCR analysis demonstrated that CCNB1, NCAPG, MCM4 and RRM2 were significantly upregulated in 25 TNBC tissues compared with adjacent normal breast tissues. Furthermore, gene set enrichment analysis revealed that CCNB1, NCAPG, MCM4 and RRM2 were closely associated with tumor proliferation. Taken together, these results suggest that CCNB1, NCAPG, MCM4 and RRM2 are associated with tumorigenesis and TNBC progression, and thus may act as promising prognostic biomarkers and therapeutic targets for TNBC.
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Affiliation(s)
- Xiao Xiao
- Department of Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400010, P.R. China
| | - Zheng Zhang
- Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, P.R. China
| | - Ruihan Luo
- Department of Bioinformatics, Chongqing Medical University, Chongqing 400016, P.R. China
| | - Rui Peng
- Department of Bioinformatics, Chongqing Medical University, Chongqing 400016, P.R. China
| | - Yan Sun
- Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, P.R. China
| | - Jia Wang
- Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, P.R. China
| | - Xin Chen
- Department of Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400010, P.R. China
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Gheghiani L, Wang L, Zhang Y, Moore XTR, Zhang J, Smith SC, Tian Y, Wang L, Turner K, Jackson-Cook CK, Mukhopadhyay ND, Fu Z. PLK1 Induces Chromosomal Instability and Overrides Cell-Cycle Checkpoints to Drive Tumorigenesis. Cancer Res 2021; 81:1293-1307. [PMID: 33376114 PMCID: PMC8026515 DOI: 10.1158/0008-5472.can-20-1377] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 10/19/2020] [Accepted: 12/21/2020] [Indexed: 11/16/2022]
Abstract
Polo-like kinase 1 (PLK1) is an essential cell-cycle regulator that is frequently overexpressed in various human cancers. To determine whether Plk1 overexpression drives tumorigenesis, we established transgenic mouse lines that ubiquitously express increased levels of Plk1. High Plk1 levels were a driving force for different types of spontaneous tumors. Increased Plk1 levels resulted in multiple defects in mitosis and cytokinesis, supernumerary centrosomes, and compromised cell-cycle checkpoints, allowing accumulation of chromosomal instability (CIN), which resulted in aneuploidy and tumor formation. Clinically, higher expression of PLK1 positively associated with an increase in genome-wide copy-number alterations in multiple human cancers. This study provides in vivo evidence that aberrant expression of PLK1 triggers CIN and tumorigenesis and highlights potential therapeutic opportunities for CIN-positive cancers. SIGNIFICANCE: These findings establish roles for PLK1 as a potent proto-oncogene and a CIN gene and provide insights for the development of effective treatment regimens across PLK1-overexpressing and CIN-positive cancers.
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Affiliation(s)
- Lilia Gheghiani
- Department of Human and Molecular Genetics, VCU Institute of Molecular Medicine, VCU Massey Cancer Center, Virginia Commonwealth University, School of Medicine, Richmond, Virginia
| | - Lei Wang
- Department of Human and Molecular Genetics, VCU Institute of Molecular Medicine, VCU Massey Cancer Center, Virginia Commonwealth University, School of Medicine, Richmond, Virginia
| | - Youwei Zhang
- Department of Human and Molecular Genetics, VCU Institute of Molecular Medicine, VCU Massey Cancer Center, Virginia Commonwealth University, School of Medicine, Richmond, Virginia
| | - Xavier T R Moore
- Department of Biology, Virginia Commonwealth University, Richmond, Virginia
| | - Jinglei Zhang
- Department of Human and Molecular Genetics, VCU Institute of Molecular Medicine, VCU Massey Cancer Center, Virginia Commonwealth University, School of Medicine, Richmond, Virginia
| | - Steven C Smith
- Department of Pathology, Virginia Commonwealth University, School of Medicine, Richmond, Virginia
| | - Yijun Tian
- Department of Tumor Biology, Moffitt Cancer Center, University of South Florida, Tampa, Florida
| | - Liang Wang
- Department of Tumor Biology, Moffitt Cancer Center, University of South Florida, Tampa, Florida
| | - Kristi Turner
- Department of Pathology, Virginia Commonwealth University, School of Medicine, Richmond, Virginia
| | - Colleen K Jackson-Cook
- Department of Human and Molecular Genetics, VCU Institute of Molecular Medicine, VCU Massey Cancer Center, Virginia Commonwealth University, School of Medicine, Richmond, Virginia
- Department of Pathology, Virginia Commonwealth University, School of Medicine, Richmond, Virginia
| | - Nitai D Mukhopadhyay
- Department of Biostatistics, Virginia Commonwealth University, School of Medicine, Richmond, Virginia
| | - Zheng Fu
- Department of Human and Molecular Genetics, VCU Institute of Molecular Medicine, VCU Massey Cancer Center, Virginia Commonwealth University, School of Medicine, Richmond, Virginia.
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Junet V, Farrés J, Mas JM, Daura X. CuBlock: a cross-platform normalization method for gene-expression microarrays. Bioinformatics 2021; 37:2365-2373. [PMID: 33609102 PMCID: PMC8388031 DOI: 10.1093/bioinformatics/btab105] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 02/04/2021] [Accepted: 02/16/2021] [Indexed: 12/28/2022] Open
Abstract
Motivation Cross-(multi)platform normalization of gene-expression microarray data remains an unresolved issue. Despite the existence of several algorithms, they are either constrained by the need to normalize all samples of all platforms together, compromising scalability and reuse, by adherence to the platforms of a specific provider, or simply by poor performance. In addition, many of the methods presented in the literature have not been specifically tested against multi-platform data and/or other methods applicable in this context. Thus, we set out to develop a normalization algorithm appropriate for gene-expression studies based on multiple, potentially large microarray sets collected along multiple platforms and at different times, applicable in systematic studies aimed at extracting knowledge from the wealth of microarray data available in public repositories; for example, for the extraction of Real-World Data to complement data from Randomized Controlled Trials. Our main focus or criterion for performance was on the capacity of the algorithm to properly separate samples from different biological groups. Results We present CuBlock, an algorithm addressing this objective, together with a strategy to validate cross-platform normalization methods. To validate the algorithm and benchmark it against existing methods, we used two distinct datasets, one specifically generated for testing and standardization purposes and one from an actual experimental study. Using these datasets, we benchmarked CuBlock against ComBat (Johnson et al., 2007), UPC (Piccolo et al., 2013), YuGene (Lê Cao et al., 2014), DBNorm (Meng et al., 2017), Shambhala (Borisov et al., 2019) and a simple log2 transform as reference. We note that many other popular normalization methods are not applicable in this context. CuBlock was the only algorithm in this group that could always and clearly differentiate the underlying biological groups after mixing the data, from up to six different platforms in this study. Availability and implementation CuBlock can be downloaded from https://www.mathworks.com/matlabcentral/fileexchange/77882-cublock. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Valentin Junet
- Anaxomics Biotech SL, Barcelona, 08008, Spain.,Institute of Biotechnology and Biomedicine, Universitat Autònoma de Barcelona, 08193, Spain
| | | | - José M Mas
- Anaxomics Biotech SL, Barcelona, 08008, Spain
| | - Xavier Daura
- Institute of Biotechnology and Biomedicine, Universitat Autònoma de Barcelona, 08193, Spain.,Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, 08010, Spain
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Liu T, Song S, Wang X, Hao J. Small-molecule inhibitors of breast cancer-related targets: Potential therapeutic agents for breast cancer. Eur J Med Chem 2021; 210:112954. [PMID: 33158576 DOI: 10.1016/j.ejmech.2020.112954] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 10/14/2020] [Accepted: 10/19/2020] [Indexed: 12/31/2022]
Abstract
Despite dramatic advances in cancer research and therapy, breast cancer remains a tricky health problem and represents a top biomedical research priority. Nowadays, breast cancer is still the leading cause of malignancy-related deaths in women, and incidence and mortality rates of it are expected to increase significantly the next years. Currently more and more researchers are interested in the study of breast cancer by its arising in young women. The common treatment options of breast cancer are chemotherapy, immunotherapy, hormone therapy, surgery, and radiotherapy. Most of them require chemical agents, such as PARP inhibitors, CDK4/6 inhibitors, and HER2 inhibitors. Recent studies suggest that some targets or pathways, including BRD4, PLK1, PD-L1, HDAC, and PI3K/AKT/mTOR, are tightly related to the occurrence and development of breast cancer. This article reviews the interplay between these targets and breast cancer and summarizes the progress of current research on small molecule inhibitors of these anti-breast cancer targets. The review aims to provide structural and theoretical basis for designing novel anti-breast cancer agents.
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Affiliation(s)
- Tingting Liu
- Department of Medicinal Chemistry, School of Pharmacy, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, 271016, PR China.
| | - Shubin Song
- Department of Breast Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, PR China
| | - Xu Wang
- Department of Pharmacology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, United States
| | - Jifu Hao
- Department of Medicinal Chemistry, School of Pharmacy, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, 271016, PR China
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Bo H, Zhang W, Zhong X, Chen J, Liu Y, Cheong KL, Fan P, Tang S. LINC00467, Driven by Copy Number Amplification and DNA Demethylation, Is Associated with Oxidative Lipid Metabolism and Immune Infiltration in Breast Cancer. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2021; 2021:4586319. [PMID: 34956437 PMCID: PMC8695024 DOI: 10.1155/2021/4586319] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 10/30/2021] [Accepted: 11/10/2021] [Indexed: 02/05/2023]
Abstract
Breast cancer (BRCA) is a malignant tumor with a high incidence and poor prognosis in females. However, its pathogenesis remains unclear. In this study, based on bioinformatic analysis, we found that LINC00467 was highly expressed in BRCA and was associated with tumor metastasis and poor prognosis. The genomic and epigenetic analysis showed that LINC00467 may also be regulated by copy number amplification (CNA), chromatin openness, and DNA methylation. In vitro experiments showed that it could promote the proliferation, migration, and invasion of BRCA cells. Competitive endogenous RNA (ceRNA) regulatory network analysis and weighted gene coexpression network analysis (WGCNA) suggested that LINC00467 may play a role in signaling pathways of peroxisomal lipid metabolism, immunity, and others through microRNAs (miRNAs) targeting transforming growth factor beta 2 (TGFB2). In addition, copy number amplification and high expression of LINC00467 were associated with the low infiltration of CD8+ and CD4+ T cells. In conclusion, we found that LINC00467, driven by copy number amplification and DNA demethylation, may be a potential biomarker for the diagnosis and prognosis of BRCA and a tumor promoter acting as a potential therapeutic target for BRCA as well.
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Affiliation(s)
- Hao Bo
- Department of Plastic and Esthetic Surgery, Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
- Key Laboratory of Reproductive and Stem Cell Engineering, National Health and Family Planning Commission, Institute of Reproductive and Stem Cell Engineering, Basic Medicine College, Central South University, Changsha, Hunan 410078, China
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, Hunan 410078, China
| | - Wancong Zhang
- Department of Plastic Surgery and Burn Center, Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong 515000, China
- Plastic Surgery Institute of Shantou University Medical College, Guangdong 515000, China
| | - Xiaoping Zhong
- Department of Plastic Surgery and Burn Center, Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong 515000, China
- Plastic Surgery Institute of Shantou University Medical College, Guangdong 515000, China
| | - Jiasheng Chen
- Department of Plastic Surgery and Burn Center, Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong 515000, China
- Plastic Surgery Institute of Shantou University Medical College, Guangdong 515000, China
| | - Yang Liu
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Department of Biology, College of Science, Shantou University, Shantou, Guangdong 515063, China
| | - Kit-Leong Cheong
- Guangdong Provincial Key Laboratory of Marine Biotechnology, Department of Biology, College of Science, Shantou University, Shantou, Guangdong 515063, China
| | - Pengju Fan
- Department of Plastic and Esthetic Surgery, Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Shijie Tang
- Department of Plastic Surgery and Burn Center, Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong 515000, China
- Plastic Surgery Institute of Shantou University Medical College, Guangdong 515000, China
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Ren Y, Deng R, Zhang Q, Li J, Han B, Ye P. Bioinformatics analysis of key genes in triple negative breast cancer and validation of oncogene PLK1. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:1637. [PMID: 33490149 PMCID: PMC7812170 DOI: 10.21037/atm-20-6873] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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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Affiliation(s)
- Yi Ren
- Breast Department, Xuzhou Cancer Hospital/Xuzhou Hospital Affiliated to Jiangsu University, Xuzhou, China
| | - Rong Deng
- Department of General Surgery, Jiangsu Cancer Hospital, Nanjing, China
| | - Qian Zhang
- Breast Department, Xuzhou Cancer Hospital/Xuzhou Hospital Affiliated to Jiangsu University, Xuzhou, China
| | - Jing Li
- Breast Department, Xuzhou Cancer Hospital/Xuzhou Hospital Affiliated to Jiangsu University, Xuzhou, China
| | - Baosan Han
- Department of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ping Ye
- Shanghai Institute for Minimally Invasive Therapy, School of Medical Instrument & Food Engineering, University of Shanghai for Science & Technology, Shanghai, China
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Abstract
Cancer cells die when their decimated DNA damage response (DDR) unsuccessfully handles DNA damage. This notion has been successfully exploited when targeting PARP (poly ADP-ribose polymerase) in homologous recombination-deficient cells. With the greater understanding of DDR achieved in the last decade, new cancer therapy targets within the DDR network have been identified. Intriguingly, many of the molecules that have advanced into clinical trials are inhibitors of DDR kinases. This special issue is devoted to discussing the mechanism of cell killing and the level of success that such inhibitors have reached in pre-clinical and clinical settings.
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Affiliation(s)
- Vanesa Gottifredi
- Fundación Instituto Leloir - Instituto de Investigaciones Bioquímicas de Buenos Aires. Consejo de Investigaciones Científicas y Técnicas. Avenida Patricias Argentinas 435, C1405BWE, Buenos Aires, Argentina.
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Dashti S, Taheri M, Ghafouri-Fard S. An in-silico method leads to recognition of hub genes and crucial pathways in survival of patients with breast cancer. Sci Rep 2020; 10:18770. [PMID: 33128008 PMCID: PMC7603345 DOI: 10.1038/s41598-020-76024-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 10/22/2020] [Indexed: 02/06/2023] Open
Abstract
Breast cancer is a highly heterogeneous disorder characterized by dysregulation of expression of numerous genes and cascades. In the current study, we aim to use a system biology strategy to identify key genes and signaling pathways in breast cancer. We have retrieved data of two microarray datasets (GSE65194 and GSE45827) from the NCBI Gene Expression Omnibus database. R package was used for identification of differentially expressed genes (DEGs), assessment of gene ontology and pathway enrichment evaluation. The DEGs were integrated to construct a protein-protein interaction network. Next, hub genes were recognized using the Cytoscape software and lncRNA-mRNA co-expression analysis was performed to evaluate the potential roles of lncRNAs. Finally, the clinical importance of the obtained genes was assessed using Kaplan-Meier survival analysis. In the present study, 887 DEGs including 730 upregulated and 157 downregulated DEGs were detected between breast cancer and normal samples. By combining the results of functional analysis, MCODE, CytoNCA and CytoHubba 2 hub genes including MAD2L1 and CCNB1 were selected. We also identified 12 lncRNAs with significant correlation with MAD2L1 and CCNB1 genes. According to The Kaplan-Meier plotter database MAD2L1, CCNA2, RAD51-AS1 and LINC01089 have the most prediction potential among all candidate hub genes. Our study offers a framework for recognition of mRNA-lncRNA network in breast cancer and detection of important pathways that could be used as therapeutic targets in this kind of cancer.
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Affiliation(s)
- Sepideh Dashti
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Taheri
- Urogenital Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Soudeh Ghafouri-Fard
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Cunningham CE, MacAuley MJ, Vizeacoumar FS, Abuhussein O, Freywald A, Vizeacoumar FJ. The CINs of Polo-Like Kinase 1 in Cancer. Cancers (Basel) 2020; 12:cancers12102953. [PMID: 33066048 PMCID: PMC7599805 DOI: 10.3390/cancers12102953] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 10/08/2020] [Accepted: 10/09/2020] [Indexed: 02/07/2023] Open
Abstract
Simple Summary Many alterations specific to cancer cells have been investigated as targets for targeted therapies. Chromosomal instability is a characteristic of nearly all cancers that can limit response to targeted therapies by ensuring the tumor population is not genetically homogenous. Polo-like Kinase 1 (PLK1) is often up regulated in cancers and it regulates chromosomal instability extensively. PLK1 has been the subject of much pre-clinical and clinical studies, but thus far, PLK1 inhibitors have not shown significant improvement in cancer patients. We discuss the numerous roles and interactions of PLK1 in regulating chromosomal instability, and how these may provide an avenue for identifying targets for targeted therapies. As selective inhibitors of PLK1 showed limited clinical success, we also highlight how genetic interactions of PLK1 may be exploited to tackle these challenges. Abstract Polo-like kinase 1 (PLK1) is overexpressed near ubiquitously across all cancer types and dysregulation of this enzyme is closely tied to increased chromosomal instability and tumor heterogeneity. PLK1 is a mitotic kinase with a critical role in maintaining chromosomal integrity through its function in processes ranging from the mitotic checkpoint, centrosome biogenesis, bipolar spindle formation, chromosome segregation, DNA replication licensing, DNA damage repair, and cytokinesis. The relation between dysregulated PLK1 and chromosomal instability (CIN) makes it an attractive target for cancer therapy. However, clinical trials with PLK1 inhibitors as cancer drugs have generally displayed poor responses or adverse side-effects. This is in part because targeting CIN regulators, including PLK1, can elevate CIN to lethal levels in normal cells, affecting normal physiology. Nevertheless, aiming at related genetic interactions, such as synthetic dosage lethal (SDL) interactions of PLK1 instead of PLK1 itself, can help to avoid the detrimental side effects associated with increased levels of CIN. Since PLK1 overexpression contributes to tumor heterogeneity, targeting SDL interactions may also provide an effective strategy to suppressing this malignant phenotype in a personalized fashion.
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Affiliation(s)
- Chelsea E. Cunningham
- Department of Pathology, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada; (M.J.M.); (F.S.V.)
- Correspondence: (C.E.C.); (A.F.); (F.J.V.); Tel.: +1-(306)-327-7864 (C.E.C.); +1-(306)-966-5248 (A.F.); +1-(306)-966-7010 (F.J.V.)
| | - Mackenzie J. MacAuley
- Department of Pathology, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada; (M.J.M.); (F.S.V.)
| | - Frederick S. Vizeacoumar
- Department of Pathology, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada; (M.J.M.); (F.S.V.)
| | - Omar Abuhussein
- College of Pharmacy, University of Saskatchewan, 104 Clinic Place, Saskatoon, SK S7N 2Z4, Canada;
| | - Andrew Freywald
- Department of Pathology, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada; (M.J.M.); (F.S.V.)
- Correspondence: (C.E.C.); (A.F.); (F.J.V.); Tel.: +1-(306)-327-7864 (C.E.C.); +1-(306)-966-5248 (A.F.); +1-(306)-966-7010 (F.J.V.)
| | - Franco J. Vizeacoumar
- Department of Pathology, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada; (M.J.M.); (F.S.V.)
- College of Pharmacy, University of Saskatchewan, 104 Clinic Place, Saskatoon, SK S7N 2Z4, Canada;
- Cancer Research, Saskatchewan Cancer Agency, 107 Wiggins Road, Saskatoon, SK S7N 5E5, Canada
- Correspondence: (C.E.C.); (A.F.); (F.J.V.); Tel.: +1-(306)-327-7864 (C.E.C.); +1-(306)-966-5248 (A.F.); +1-(306)-966-7010 (F.J.V.)
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Bioengineered siRNA-Based Nanoplatforms Targeting Molecular Signaling Pathways for the Treatment of Triple Negative Breast Cancer: Preclinical and Clinical Advancements. Pharmaceutics 2020; 12:pharmaceutics12100929. [PMID: 33003468 PMCID: PMC7599839 DOI: 10.3390/pharmaceutics12100929] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 09/20/2020] [Accepted: 09/22/2020] [Indexed: 02/07/2023] Open
Abstract
Triple negative breast cancer (TNBC) is one of the most aggressive types of breast cancer. Owing to the absenteeism of hormonal receptors expressed at the cancerous breast cells, hormonal therapies and other medications targeting human epidermal growth factor receptor 2 (HER2) are ineffective in TNBC patients, making traditional chemotherapeutic agents the only current appropriate regimen. Patients' predisposition to relapse and metastasis, chemotherapeutics' cytotoxicity and resistance and poor prognosis of TNBC necessitates researchers to investigate different novel-targeted therapeutics. The role of small interfering RNA (siRNA) in silencing the genes/proteins that are aberrantly overexpressed in carcinoma cells showed great potential as part of TNBC therapeutic regimen. However, targeting specificity, siRNA stability, and delivery efficiency cause challenges in the progression of this application clinically. Nanotechnology was highlighted as a promising approach for encapsulating and transporting siRNA with high efficiency-low toxicity profile. Advances in preclinical and clinical studies utilizing engineered siRNA-loaded nanotherapeutics for treatment of TNBC were discussed. Specific and selective targeting of diverse signaling molecules/pathways at the level of tumor proliferation and cell cycle, tumor invasion and metastasis, angiogenesis and tumor microenvironment, and chemotherapeutics' resistance demonstrated greater activity via integration of siRNA-complexed nanoparticles.
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Zhai X, Yang Z, Liu X, Dong Z, Zhou D. Identification of NUF2 and FAM83D as potential biomarkers in triple-negative breast cancer. PeerJ 2020; 8:e9975. [PMID: 33005492 PMCID: PMC7513746 DOI: 10.7717/peerj.9975] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 08/26/2020] [Indexed: 12/12/2022] Open
Abstract
Background Breast cancer is a heterogeneous disease. Compared with other subtypes of breast cancer, triple-negative breast cancer (TNBC) is easy to metastasize and has a short survival time, less choice of treatment options. Here, we aimed to identify the potential biomarkers to TNBC diagnosis and prognosis. Material/Methods Three independent data sets (GSE45827, GSE38959, GSE65194) were downloaded from the Gene Expression Omnibus (GEO). The R software packages were used to integrate the gene profiles and identify differentially expressed genes (DEGs). A variety of bioinformatics tools were used to explore the hub genes, including the DAVID database, STRING database and Cytoscape software. Reverse transcription quantitative PCR (RT-qPCR) was used to verify the hub genes in 14 pairs of TNBC paired tissues. Results In this study, we screened out 161 DEGs between 222 non-TNBC and 126 TNBC samples, of which 105 genes were up-regulated and 56 were down-regulated. These DEGs were enriched for 27 GO terms and two pathways. GO analysis enriched mainly in “cell division”, “chromosome, centromeric region” and “microtubule motor activity”. KEGG pathway analysis enriched mostly in “Cell cycle” and “Oocyte meiosis”. PPI network was constructed and then 10 top hub genes were screened. According to the analysis results of the Kaplan-Meier survival curve, the expression levels of only NUF2, FAM83D and CENPH were associated with the recurrence-free survival in TNBC samples (P < 0.05). RT-qPCR confirmed that the expression levels of NUF2 and FAM83D in TNBC tissues were indeed up-regulated significantly. Conclusions The comprehensive analysis showed that NUF2 and FAM83D could be used as potential biomarkers for diagnosis and prognosis of TNBC.
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Affiliation(s)
- Xiuming Zhai
- Department of Laboratory Medicine, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhaowei Yang
- Department of Breast and Thyroid, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China
| | - Xiji Liu
- Department of Laboratory Medicine, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zihe Dong
- Department of Laboratory Medicine, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China
| | - Dandan Zhou
- Department of Laboratory Medicine, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China
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Montaudon E, Nikitorowicz-Buniak J, Sourd L, Morisset L, El Botty R, Huguet L, Dahmani A, Painsec P, Nemati F, Vacher S, Chemlali W, Masliah-Planchon J, Château-Joubert S, Rega C, Leal MF, Simigdala N, Pancholi S, Ribas R, Nicolas A, Meseure D, Vincent-Salomon A, Reyes C, Rapinat A, Gentien D, Larcher T, Bohec M, Baulande S, Bernard V, Decaudin D, Coussy F, Le Romancer M, Dutertre G, Tariq Z, Cottu P, Driouch K, Bièche I, Martin LA, Marangoni E. PLK1 inhibition exhibits strong anti-tumoral activity in CCND1-driven breast cancer metastases with acquired palbociclib resistance. Nat Commun 2020; 11:4053. [PMID: 32792481 PMCID: PMC7426966 DOI: 10.1038/s41467-020-17697-1] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 07/16/2020] [Indexed: 02/08/2023] Open
Abstract
A significant proportion of patients with oestrogen receptor (ER) positive breast cancers (BC) develop resistance to endocrine treatments (ET) and relapse with metastatic disease. Here we perform whole exome sequencing and gene expression analysis of matched primary breast tumours and bone metastasis-derived patient-derived xenografts (PDX). Transcriptomic analyses reveal enrichment of the G2/M checkpoint and up-regulation of Polo-like kinase 1 (PLK1) in PDX. PLK1 inhibition results in tumour shrinkage in highly proliferating CCND1-driven PDX, including different RB-positive PDX with acquired palbociclib resistance. Mechanistic studies in endocrine resistant cell lines, suggest an ER-independent function of PLK1 in regulating cell proliferation. Finally, in two independent clinical cohorts of ER positive BC, we find a strong association between high expression of PLK1 and a shorter metastases-free survival and poor response to anastrozole. In conclusion, our findings support clinical development of PLK1 inhibitors in patients with advanced CCND1-driven BC, including patients progressing on palbociclib treatment.
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Affiliation(s)
- Elodie Montaudon
- Translational Research Department, Institut Curie, 26 Rue d'Ulm, 75005, Paris, France
| | | | - Laura Sourd
- Translational Research Department, Institut Curie, 26 Rue d'Ulm, 75005, Paris, France
| | - Ludivine Morisset
- Translational Research Department, Institut Curie, 26 Rue d'Ulm, 75005, Paris, France
| | - Rania El Botty
- Translational Research Department, Institut Curie, 26 Rue d'Ulm, 75005, Paris, France
| | - Léa Huguet
- Translational Research Department, Institut Curie, 26 Rue d'Ulm, 75005, Paris, France
| | - Ahmed Dahmani
- Translational Research Department, Institut Curie, 26 Rue d'Ulm, 75005, Paris, France
| | - Pierre Painsec
- Translational Research Department, Institut Curie, 26 Rue d'Ulm, 75005, Paris, France
| | - Fariba Nemati
- Translational Research Department, Institut Curie, 26 Rue d'Ulm, 75005, Paris, France
| | - Sophie Vacher
- Department of Genetics, Institut Curie, Paris, France
| | | | | | | | - Camilla Rega
- Institute of Cancer Research, 123 Old Brompton Road, SW7 3RP, London, UK
| | | | - Nikiana Simigdala
- Institute of Cancer Research, 123 Old Brompton Road, SW7 3RP, London, UK
| | - Sunil Pancholi
- Institute of Cancer Research, 123 Old Brompton Road, SW7 3RP, London, UK
| | - Ricardo Ribas
- Institute of Cancer Research, 123 Old Brompton Road, SW7 3RP, London, UK
| | - André Nicolas
- Department of Pathology, Institut Curie, Paris, France
| | | | | | - Cécile Reyes
- Translational Research Department, Institut Curie, 26 Rue d'Ulm, 75005, Paris, France
| | - Audrey Rapinat
- Translational Research Department, Institut Curie, 26 Rue d'Ulm, 75005, Paris, France
| | - David Gentien
- Translational Research Department, Institut Curie, 26 Rue d'Ulm, 75005, Paris, France
| | - Thibaut Larcher
- INRA, APEX-PAnTher, Oniris, Rue De La Géraudière Cedex 3, 44322, Nantes, France
| | - Mylène Bohec
- Genomics of Excellence (ICGex) Platform, Institut Curie Research Center, Paris, France
| | - Sylvain Baulande
- Genomics of Excellence (ICGex) Platform, Institut Curie Research Center, Paris, France
| | | | - Didier Decaudin
- Translational Research Department, Institut Curie, 26 Rue d'Ulm, 75005, Paris, France
- Department of Medical Oncology, Institut Curie, Paris, France
| | - Florence Coussy
- Translational Research Department, Institut Curie, 26 Rue d'Ulm, 75005, Paris, France
- Department of Medical Oncology, Institut Curie, Paris, France
| | - Muriel Le Romancer
- Inserm U1052, Centre de Recherche en Cancérologie de Lyon, 28 Rue Laennec, 69000, Lyon, France
| | | | - Zakia Tariq
- Department of Genetics, Institut Curie, Paris, France
| | - Paul Cottu
- Department of Medical Oncology, Institut Curie, Paris, France
| | | | - Ivan Bièche
- Department of Genetics, Institut Curie, Paris, France
| | - Lesley-Ann Martin
- Institute of Cancer Research, 123 Old Brompton Road, SW7 3RP, London, UK
| | - Elisabetta Marangoni
- Translational Research Department, Institut Curie, 26 Rue d'Ulm, 75005, Paris, France.
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Sulaiman A, McGarry S, Chambers J, Al-Kadi E, Phan A, Li L, Mediratta K, Dimitroulakos J, Addison C, Li X, Wang L. Targeting Hypoxia Sensitizes TNBC to Cisplatin and Promotes Inhibition of Both Bulk and Cancer Stem Cells. Int J Mol Sci 2020; 21:ijms21165788. [PMID: 32806648 PMCID: PMC7461107 DOI: 10.3390/ijms21165788] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 08/06/2020] [Accepted: 08/10/2020] [Indexed: 01/16/2023] Open
Abstract
Development of targeted therapies for triple-negative breast cancer (TNBC) is an unmet medical need. Cisplatin has demonstrated its promising potential for the treatment of TNBC in clinical trials; however, cisplatin treatment is associated with hypoxia that, in turn, promotes cancer stem cell (CSC) enrichment and drug resistance. Therapeutic approaches to attenuate this may lead to increased cisplatin efficacy in the clinic for the treatment of TNBC. In this report we analyzed clinical datasets of TNBC and found that TNBC patients possessed higher levels of EGFR and hypoxia gene expression. A similar expression pattern was also observed in cisplatin-resistant ovarian cancer cells. We, thus, developed a new therapeutic approach to inhibit EGFR and hypoxia by combination treatment with metformin and gefitinib that sensitized TNBC cells to cisplatin and led to the inhibition of both CD44+/CD24− and ALDH+ CSCs. We demonstrated a similar inhibition efficacy on organotypic cultures of TNBC patient samples ex vivo. Since these drugs have already been used frequently in the clinic; this study illustrates a novel, clinically translatable therapeutic approach to treat patients with TNBC.
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Affiliation(s)
- Andrew Sulaiman
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5, Canada; (A.S.); (S.M.); (J.C.); (E.A.-K.); (A.P.); (L.L.); (K.M.); (J.D.); (C.A.); (X.L.)
- Ottawa Institute of Systems Biology, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5, Canada
- Department of Basic Science, Kansas City University of Medicine and Bioscience, 1750 Independence Ave, Kansas City, MO 64106, USA
| | - Sarah McGarry
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5, Canada; (A.S.); (S.M.); (J.C.); (E.A.-K.); (A.P.); (L.L.); (K.M.); (J.D.); (C.A.); (X.L.)
- Ottawa Institute of Systems Biology, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5, Canada
| | - Jason Chambers
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5, Canada; (A.S.); (S.M.); (J.C.); (E.A.-K.); (A.P.); (L.L.); (K.M.); (J.D.); (C.A.); (X.L.)
| | - Emil Al-Kadi
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5, Canada; (A.S.); (S.M.); (J.C.); (E.A.-K.); (A.P.); (L.L.); (K.M.); (J.D.); (C.A.); (X.L.)
| | - Alexandra Phan
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5, Canada; (A.S.); (S.M.); (J.C.); (E.A.-K.); (A.P.); (L.L.); (K.M.); (J.D.); (C.A.); (X.L.)
| | - Li Li
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5, Canada; (A.S.); (S.M.); (J.C.); (E.A.-K.); (A.P.); (L.L.); (K.M.); (J.D.); (C.A.); (X.L.)
- Ottawa Institute of Systems Biology, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5, Canada
| | - Karan Mediratta
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5, Canada; (A.S.); (S.M.); (J.C.); (E.A.-K.); (A.P.); (L.L.); (K.M.); (J.D.); (C.A.); (X.L.)
| | - Jim Dimitroulakos
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5, Canada; (A.S.); (S.M.); (J.C.); (E.A.-K.); (A.P.); (L.L.); (K.M.); (J.D.); (C.A.); (X.L.)
- Centre for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, ON K1H 8L6, Canada
| | - Christina Addison
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5, Canada; (A.S.); (S.M.); (J.C.); (E.A.-K.); (A.P.); (L.L.); (K.M.); (J.D.); (C.A.); (X.L.)
- Centre for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, ON K1H 8L6, Canada
| | - Xuguang Li
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5, Canada; (A.S.); (S.M.); (J.C.); (E.A.-K.); (A.P.); (L.L.); (K.M.); (J.D.); (C.A.); (X.L.)
- Centre for Biologics Evaluation, Biologics and Genetic Therapies Directorate, Health Canada, Sir Frederick G. Banting Research Centre, 251 Sir Frederick Banting Driveway, Ottawa, ON K1A 0K9, Canada
| | - Lisheng Wang
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5, Canada; (A.S.); (S.M.); (J.C.); (E.A.-K.); (A.P.); (L.L.); (K.M.); (J.D.); (C.A.); (X.L.)
- Ottawa Institute of Systems Biology, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5, Canada
- Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, ON K1H 8L6, Canada
- Correspondence: ; Tel.: +1-613-562-5624
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Zhang W, Liu C, Li J, Liu R, Zhuang J, Feng F, Yao Y, Sun C. Target Analysis and Mechanism of Podophyllotoxin in the Treatment of Triple-Negative Breast Cancer. Front Pharmacol 2020; 11:1211. [PMID: 32848800 PMCID: PMC7427588 DOI: 10.3389/fphar.2020.01211] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 07/24/2020] [Indexed: 12/17/2022] Open
Abstract
Background As the original compound of many podophyllotoxin derivatives, podophyllotoxin has a beneficial antitumor effect. The mechanism of podophyllotoxin activity in triple-negative breast cancer still needs to be explored. Methods We used cell proliferation assay, scratch and transwell experiments, and cell cycle and apoptosis analyses to observe the intervention effect of podophyllotoxin on breast cancer. Furthermore, we analyzed the differences between GSE31448, GSE65194, and GSE45827 in the Gene Expression Omnibus database (GEO) and explored the differential genes using a STRING database. Centiscape2.2, MCODE cluster analysis and KEGG pathway analysis were used to identify the most significant gene differences. Next, we utilized BATMAN-TCM and TCMSP databases for further screening to identify key genes. Finally, quantitative RT-PCR (qRT-PCR) and Western blotting were performed to detect the expression of key targets. Results Our research confirmed that podophyllotoxin could not only inhibit the migration and invasion of triple-negative breast cancer but also affect the cell cycle and induce apoptosis. In total, 566 differential genes were obtained by using the GEO database. After topological network analysis, cluster analysis, and molecular docking screening, we finally identified PLK1, CCDC20, and CDK1 as key target genes. The results of the qRT-PCR assay showed that the mRNA levels of PLK1, CDC20, and CDK1 decreased, while the expression of upstream P53 increased, after drug induction. The Gene Set Enrichment Analysis (GSEA) and conetwork analysis showed that PLK1 is a more critical regulatory factor. Further Western blotting analysis revealed that there was a negative regulatory relationship between the key gene PLK1 and P53 on the protein level. The results were presented as the mean ± standard deviation of triplicate experiments and P<0.05 was considered to indicate a statistically significant difference. Conclusion Podophyllotoxin has an intervention effect on the development of triple-negative breast cancer. The expression of PLK1, CDC20, and CDK1 in the cell cycle pathway is inhibited by regulating P53. Our research shows that natural drugs inhibit tumor activity by regulating the expression of cyclins, and the combination of natural drugs and modern extensive database analysis has a wide range of potential applications in the development of antitumor therapies.
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Affiliation(s)
- Wenfeng Zhang
- Clinical Medical Colleges, Weifang Medical University, Weifang, China
| | - Cun Liu
- College of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jie Li
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Ruijuan Liu
- Department of Oncology, Weifang Traditional Chinese Medicine Hospital, Weifang, China
| | - Jing Zhuang
- Department of Oncology, Weifang Traditional Chinese Medicine Hospital, Weifang, China
| | - Fubin Feng
- Department of Oncology, Weifang Traditional Chinese Medicine Hospital, Weifang, China
| | - Yan Yao
- Clinical Medical Colleges, Weifang Medical University, Weifang, China
| | - Changgang Sun
- Chinese Medicine Innovation Institute, Shandong University of Traditional Chinese Medicine, Jinan, China
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Ma L, Song G, Li M, Hao X, Huang Y, Lan J, Yang S, Zhang Z, Zhang G, Mu J. Construction and Comprehensive Analysis of a ceRNA Network to Reveal Potential Novel Biomarkers for Triple-Negative Breast Cancer. Cancer Manag Res 2020; 12:7061-7075. [PMID: 32821169 PMCID: PMC7423243 DOI: 10.2147/cmar.s260150] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 07/19/2020] [Indexed: 12/14/2022] Open
Abstract
Background Triple-negative breast cancer (TNBC) is the most common and aggressive type of breast cancer with an unfavourable outcome worldwide. Novel therapeutic targets are urgently required to explore this malignancy. This study explored the ceRNA network and the important genes for predicting the therapeutic targets. Methods It identified the differentially expressed genes of mRNAs, lncRNAs and miRNAs between TNBC and non-TNBC samples in four cohorts (TCGA, GSE38959, GSE45827 and GSE65194) to explore the novel therapeutic targets for TNBC. Downstream analyses, including functional enrichment analysis, ceRNA network, protein–protein interaction and survival analysis, were then conducted by bioinformatics analysis. Finally, the potential core protein of the ceRNA network in TNBC was validated by immunohistochemistry. Results A total of 1,045 lncRNAs and 28 miRNAs were differentially expressed in the TCGA TNBC samples, and the intersections of 282 mRNAs (176 upregulations and 106 downregulations) between the GEO and TCGA databases were identified. A ceRNA network composed of 7 lncRNAs, 62 mRNAs, 12 miRNAs and 244 edges specific to TNBC was established. The functional assay showed dysregulated genes, and GO, DO and KEGG enrichment analysis were performed. Survival analysis showed that mRNA LIFR and lncRNA AC124312.3 were significantly correlated with the overall survival of patients with TNBC in the TCGA databases (P < 0.05). Finally, the LIFR protein was validated, and immunohistochemical results showed the upregulated expression of LIFR in TNBC tissues. Conclusion Thus, our study presents an enhanced understanding of the ceRNA network in TNBC, where the key gene LIFR may be a new promising potential therapeutic target for patients with TNBC.
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Affiliation(s)
- Lifei Ma
- College of Laboratory Medicine, Hebei North University, Zhangjiakou, Hebei 075000, People's Republic of China.,State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, People's Republic of China
| | - Guiqin Song
- College of Laboratory Medicine, Hebei North University, Zhangjiakou, Hebei 075000, People's Republic of China
| | - Meiyu Li
- Department of Forensic Medicine, Hebei North University, Zhangjiakou, Hebei 075000, People's Republic of China
| | - Xiuqing Hao
- Department of Pathology, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei 075000, People's Republic of China
| | - Yong Huang
- College of Laboratory Medicine, Hebei North University, Zhangjiakou, Hebei 075000, People's Republic of China
| | - Jinping Lan
- College of Laboratory Medicine, Hebei North University, Zhangjiakou, Hebei 075000, People's Republic of China
| | - Siqian Yang
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, People's Republic of China
| | - Zetian Zhang
- Department of Gastroenterology, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei 075000, People's Republic of China
| | - Guohui Zhang
- Department of Forensic Medicine, Hebei North University, Zhangjiakou, Hebei 075000, People's Republic of China
| | - Jiao Mu
- Department of Forensic Medicine, Hebei North University, Zhangjiakou, Hebei 075000, People's Republic of China.,Department of Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, People's Republic of China
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Schrörs B, Boegel S, Albrecht C, Bukur T, Bukur V, Holtsträter C, Ritzel C, Manninen K, Tadmor AD, Vormehr M, Sahin U, Löwer M. Multi-Omics Characterization of the 4T1 Murine Mammary Gland Tumor Model. Front Oncol 2020; 10:1195. [PMID: 32793490 PMCID: PMC7390911 DOI: 10.3389/fonc.2020.01195] [Citation(s) in RCA: 103] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 06/12/2020] [Indexed: 12/17/2022] Open
Abstract
Background: Tumor models are critical for our understanding of cancer and the development of cancer therapeutics. The 4T1 murine mammary cancer cell line is one of the most widely used breast cancer models. Here, we present an integrated map of the genome, transcriptome, and immunome of 4T1. Results: We found Trp53 (Tp53) and Pik3g to be mutated. Other frequently mutated genes in breast cancer, including Brca1 and Brca2, are not mutated. For cancer related genes, Nav3, Cenpf, Muc5Ac, Mpp7, Gas1, MageD2, Dusp1, Ros, Polr2a, Rragd, Ros1, and Hoxa9 are mutated. Markers for cell proliferation like Top2a, Birc5, and Mki67 are highly expressed, so are markers for metastasis like Msln, Ect2, and Plk1, which are known to be overexpressed in triple-negative breast cancer (TNBC). TNBC markers are, compared to a mammary gland control sample, lower (Esr1), comparably low (Erbb2), or not expressed at all (Pgr). We also found testis cancer antigen Pbk as well as colon/gastrointestinal cancer antigens Gpa33 and Epcam to be highly expressed. Major histocompatibility complex (MHC) class I is expressed, while MHC class II is not. We identified 505 single nucleotide variations (SNVs) and 20 insertions and deletions (indels). Neoantigens derived from 22 SNVs and one deletion elicited CD8+ or CD4+ T cell responses in IFNγ-ELISpot assays. Twelve high-confidence fusion genes were observed. We did not observe significant downregulation of mismatch repair (MMR) genes or SNVs/indels impairing their function, providing evidence for 6-thioguanine resistance. Effects of the integration of the murine mammary tumor virus were observed at the genome and transcriptome level. Conclusions: 4T1 cells share substantial molecular features with human TNBC. As 4T1 is a common model for metastatic tumors, our data supports the rational design of mode-of-action studies for pre-clinical evaluation of targeted immunotherapies.
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Affiliation(s)
- Barbara Schrörs
- TRON gGmbH - Translationale Onkologie an der Universitätsmedizin der Johannes Gutenberg-Universität Mainz Gemeinnützige GmbH, Mainz, Germany
| | - Sebastian Boegel
- University Medical Center of the Johannes Gutenberg, University Mainz, Mainz, Germany
| | - Christian Albrecht
- TRON gGmbH - Translationale Onkologie an der Universitätsmedizin der Johannes Gutenberg-Universität Mainz Gemeinnützige GmbH, Mainz, Germany
| | - Thomas Bukur
- TRON gGmbH - Translationale Onkologie an der Universitätsmedizin der Johannes Gutenberg-Universität Mainz Gemeinnützige GmbH, Mainz, Germany
| | - Valesca Bukur
- TRON gGmbH - Translationale Onkologie an der Universitätsmedizin der Johannes Gutenberg-Universität Mainz Gemeinnützige GmbH, Mainz, Germany
| | - Christoph Holtsträter
- TRON gGmbH - Translationale Onkologie an der Universitätsmedizin der Johannes Gutenberg-Universität Mainz Gemeinnützige GmbH, Mainz, Germany
| | - Christoph Ritzel
- University Medical Center of the Johannes Gutenberg, University Mainz, Mainz, Germany
| | - Katja Manninen
- TRON gGmbH - Translationale Onkologie an der Universitätsmedizin der Johannes Gutenberg-Universität Mainz Gemeinnützige GmbH, Mainz, Germany
| | - Arbel D Tadmor
- TRON gGmbH - Translationale Onkologie an der Universitätsmedizin der Johannes Gutenberg-Universität Mainz Gemeinnützige GmbH, Mainz, Germany
| | - Mathias Vormehr
- University Medical Center of the Johannes Gutenberg, University Mainz, Mainz, Germany.,BioNTech SE, Mainz, Germany
| | - Ugur Sahin
- TRON gGmbH - Translationale Onkologie an der Universitätsmedizin der Johannes Gutenberg-Universität Mainz Gemeinnützige GmbH, Mainz, Germany.,HI-TRON - Helmholtz-Institut für Translationale Onkologie Mainz, Mainz, Germany
| | - Martin Löwer
- TRON gGmbH - Translationale Onkologie an der Universitätsmedizin der Johannes Gutenberg-Universität Mainz Gemeinnützige GmbH, Mainz, Germany
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Pandya V, Githaka JM, Patel N, Veldhoen R, Hugh J, Damaraju S, McMullen T, Mackey J, Goping IS. BIK drives an aggressive breast cancer phenotype through sublethal apoptosis and predicts poor prognosis of ER-positive breast cancer. Cell Death Dis 2020; 11:448. [PMID: 32528057 PMCID: PMC7289861 DOI: 10.1038/s41419-020-2654-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 05/16/2020] [Accepted: 05/18/2020] [Indexed: 02/06/2023]
Abstract
Apoptosis is fundamental to normal animal development and is the target for many anticancer therapies. Recent studies have explored the consequences of "failed apoptosis" where the apoptotic program is initiated but does not go to completion and does not cause cell death. Nevertheless, this failed apoptosis induces DNA double-strand breaks generating mutations that facilitate tumorigenesis. Whether failed apoptosis is relevant to clinical disease is unknown. BCL-2 interacting killer (BIK) is a stress-induced BH3-only protein that stimulates apoptosis in response to hormone and growth factor deprivation, hypoxia, and genomic stress. It was unclear whether BIK promotes or suppresses tumor survival within the context of breast cancer. We investigated this and show that BIK induces failed apoptosis with limited caspase activation and genomic damage in the absence of extensive cell death. Surviving cells acquire aggressive phenotypes characterized by enrichment of cancer stem-like cells, increased motility and increased clonogenic survival. Furthermore, by examining six independent cohorts of patients (total n = 969), we discovered that high BIK mRNA and protein levels predicted clinical relapse of Estrogen receptor (ER)-positive cancers, which account for almost 70% of all breast cancers diagnosed but had no predictive value for hormone receptor-negative (triple-negative) patients. Thus, this study identifies BIK as a biomarker for tumor recurrence of ER-positive patients and provides a potential mechanism whereby failed apoptosis contributes to cancer aggression.
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Affiliation(s)
- Vrajesh Pandya
- Department of Biochemistry, University of Alberta, Edmonton, AB, T6G 2H7, Canada
| | - John Maringa Githaka
- Department of Biochemistry, University of Alberta, Edmonton, AB, T6G 2H7, Canada
| | - Namrata Patel
- Department of Biochemistry, University of Alberta, Edmonton, AB, T6G 2H7, Canada
| | - Richard Veldhoen
- Department of Biochemistry, University of Alberta, Edmonton, AB, T6G 2H7, Canada
| | - Judith Hugh
- Department of Lab Medicine and Pathology, University of Alberta, Edmonton, AB, T6G 2H7, Canada
| | - Sambasivarao Damaraju
- Department of Lab Medicine and Pathology, University of Alberta, Edmonton, AB, T6G 2H7, Canada
| | - Todd McMullen
- Department of Surgery, University of Alberta, Edmonton, AB, T6G 2H7, Canada
| | - John Mackey
- Department of Oncology, University of Alberta, Edmonton, AB, T6G 2H7, Canada
| | - Ing Swie Goping
- Department of Biochemistry, University of Alberta, Edmonton, AB, T6G 2H7, Canada.
- Department of Oncology, University of Alberta, Edmonton, AB, T6G 2H7, Canada.
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Gao Z, Man X, Li Z, Bi J, Liu X, Li Z, Li J, Zhang Z, Kong C. PLK1 promotes proliferation and suppresses apoptosis of renal cell carcinoma cells by phosphorylating MCM3. Cancer Gene Ther 2020; 27:412-423. [PMID: 31186514 DOI: 10.1038/s41417-019-0094-x] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2019] [Revised: 03/22/2019] [Accepted: 04/04/2019] [Indexed: 02/06/2023]
Abstract
Minichromosome maintenance 3 (MCM3) protein has been widely studied due to its essential role in DNA replication. In addition, it is overexpressed in several human tumor types. However, the role of this protein in renal cell carcinoma (RCC) is not widely known. In this study, we demonstrated that polo-like kinase 1 (PLK1)-mediated MCM3 phosphorylation regulates proliferation and apoptosis in RCC. Our results confirm that PLK1 and phospho-MCM3 (p-MCM3) are highly expressed in renal cell carcinoma. The expression of PLK1 is closely related to the clinical characteristics of renal cell carcinoma. They play important roles in the proliferation and apoptosis of RCC. In vitro, after overexpression of PLK1 or MCM3, the proliferation of RCC cells was significantly enhanced and cell apoptosis was inhibited, while after knockout, the proliferation of RCC cells was weakened and cell apoptosis was promoted. In addition, Mn2+-Phos-tag SDS-PAGE, western blotting, and immunofluorescence were utilized to determine that MCM3 is a physiological substrate of PLK1, which is phosphorylated on serine 112 (Ser112) in a PLK1-dependent manner. PLK1-mediated MCM3 phosphorylation promotes RCC cell cycle proliferation and suppresses apoptosis in vitro. Moreover, we found that PLK1-mediated MCM3 phosphorylation induced cellular proliferation and decreased apoptosis, as well as tumor growth in mice. Overall, we conclude that PLK1-mediated MCM3 phosphorylation is a novel mechanism to regulate RCC proliferation and apoptosis.
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Affiliation(s)
- Zhipeng Gao
- Department of Urology, First Hospital of China Medical University, 155 North Nanjing Street, Heping, 110001, Shenyang, Liaoning, China
| | - Xiaojun Man
- Department of Urology, First Hospital of China Medical University, 155 North Nanjing Street, Heping, 110001, Shenyang, Liaoning, China
| | - Zhenhua Li
- Department of Urology, First Hospital of China Medical University, 155 North Nanjing Street, Heping, 110001, Shenyang, Liaoning, China
| | - Jianbin Bi
- Department of Urology, First Hospital of China Medical University, 155 North Nanjing Street, Heping, 110001, Shenyang, Liaoning, China
| | - Xiankui Liu
- Department of Urology, First Hospital of China Medical University, 155 North Nanjing Street, Heping, 110001, Shenyang, Liaoning, China
| | - Zeliang Li
- Department of Urology, First Hospital of China Medical University, 155 North Nanjing Street, Heping, 110001, Shenyang, Liaoning, China
| | - Jun Li
- Department of Urology, First Hospital of China Medical University, 155 North Nanjing Street, Heping, 110001, Shenyang, Liaoning, China
| | - Zhe Zhang
- Department of Urology, First Hospital of China Medical University, 155 North Nanjing Street, Heping, 110001, Shenyang, Liaoning, China.
| | - Chuize Kong
- Department of Urology, First Hospital of China Medical University, 155 North Nanjing Street, Heping, 110001, Shenyang, Liaoning, China.
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García IA, Garro C, Fernandez E, Soria G. Therapeutic opportunities for PLK1 inhibitors: Spotlight on BRCA1-deficiency and triple negative breast cancers. Mutat Res 2020; 821:111693. [PMID: 32172132 DOI: 10.1016/j.mrfmmm.2020.111693] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 02/21/2020] [Accepted: 02/24/2020] [Indexed: 02/07/2023]
Abstract
Polo-Like Kinases (PLKs) are central players of mitotic progression in Eukaryotes. Given the intimate relationship between cell cycle progression and cancer development, PLKs in general and PLK1 in particular have been thoroughly studied as biomarkers and potential therapeutic targets in oncology. The oncogenic properties of PLK1 overexpression across different types of human cancers are attributed to its roles in promoting mitotic entry, centrosome maturation, spindle assembly and cytokinesis. While several academic labs and pharmaceutical companies were able to develop potent and selective inhibitors of PLK1 (PLK1i) for preclinical research, such compounds have reached only limited success in clinical trials despite their great pharmacokinetics. Even though this could be attributed to multiple causes, the housekeeping roles of PLK1 in both normal and cancer cells are most likely the main reason for clinical trials failure and withdraw due to toxicities issues. Therefore, great efforts are being invested to position PLK1i in the treatment of specific types of cancers with revised dosages schemes. In this mini review we focus on two potential niches for PLK1i that are supported by recent evidence: triple negative breast cancers (TNBCs) and BRCA1-deficient cancers. On the one hand, we recollect several lines of strong evidence indicating that TNBCs are among the cancers with highest PLK1 expression and sensitivity to PLK1i. These findings are encouraging because of the limited therapeutics options available for TNBC patients, which rely mainly on classic chemotherapy. On the other hand, we discuss recent evidence that unveils synthetic lethality induction by PLK1 inhibition in BRCA1-deficient cancers cells. This previously unforeseen therapeutic link between PLK1 and BRCA1 is promising because it defines novel therapeutic opportunities for PLK1i not only for breast cancer (i.e. TNBCs with BRCA1 deficiencies), but also for other types of cancers with BRCA1-deficiencies, such as pancreatic and prostate cancers.
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Affiliation(s)
- Iris Alejandra García
- Centro de Investigación y Desarrollo en Inmunología y Enfermedades Infecciosas, CIDIE-CONICET. Universidad Católica de Córdoba, Córdoba, Argentina; Departamento de Bioquímica Clínica. Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Cintia Garro
- Centro de Investigaciones en Bioquímica Clínica e Inmunología, CIBICI-CONICET, Córdoba, Argentina; Departamento de Bioquímica Clínica. Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Elmer Fernandez
- Centro de Investigación y Desarrollo en Inmunología y Enfermedades Infecciosas, CIDIE-CONICET. Universidad Católica de Córdoba, Córdoba, Argentina; Facultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Gastón Soria
- Centro de Investigaciones en Bioquímica Clínica e Inmunología, CIBICI-CONICET, Córdoba, Argentina; Departamento de Bioquímica Clínica. Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
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50
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Lu Y, Yang G, Xiao Y, Zhang T, Su F, Chang R, Ling X, Bai Y. Upregulated cyclins may be novel genes for triple-negative breast cancer based on bioinformatic analysis. Breast Cancer 2020; 27:903-911. [PMID: 32338339 DOI: 10.1007/s12282-020-01086-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Accepted: 04/02/2020] [Indexed: 01/15/2023]
Abstract
BACKGROUND Triple-negative breast cancer (TNBC) is one of the leading causes of death among females around the world. However, the molecular mechanism of the disease among TNBC patients remains to be further studied. METHODS In our study, four microarray data and two high throughput sequencing data were acquired from the GEO database, and the differentially expressed genes (DEGs) between TNBC and normal tissues had been analyzed. Analysis of functional enrichment and pathway enrichment of DEGs was conducted by the Funrich software, and protein-protein interaction (PPI) network gained from the STRING, and hub genes were confirmed by the Cytoscape. Kaplan-Meier plotter (KM plotter) online dataset had been used to analyze DEGs of overall survival (OS), and progression-free survival (PFS). RESULTS In total, 1638 DEGs were gained in our study covering 984 upregulated and 654 downregulated genes. Moreover, a PPI network was constructed, and cyclin-dependent kinase 1 (CDK1), cyclin B1 (CCNB1), and cyclin A2 (CCNA2) were found as top genes with higher node degrees. CDK1, CCNA2, and CCNB1were obviously enriched in the cell cycle. The top upregulated genes including CDK1, CCNB1, CCNA2, and PLK1 were overexpressed in TNBC, and correlated with worse OS in breast cancer. High expression of CCNB1 was correlated with worse PFS in TNBC (HR = 1.42, 95% CI: 1.04-1.94, P = 0.028). Besides, there was a correlation between CCNB1 and CDK1 in TNBC, as well as between CCNA2 and CDK1 (r = 0.804, P < 0.001; r = 0.577, P < 0.001, respectively). CONCLUSION Our results suggest that cyclin CDK1, CCNB1, and CCNA2 are overexpressed in TNBC and they could act as novel biomarkers for the diagnosis and treatment of TNBC.
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Affiliation(s)
- Yongbin Lu
- Scientific Development and Planning Department, The First Hospital of Lanzhou University, Lanzhou, China
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China
| | - Gang Yang
- Neurosurgery, The First Hospital of Lanzhou University, Lanzhou, China
| | - Yi Xiao
- Breast Surgery, The First Hospital of Lanzhou University, Lanzhou, China
| | - Tao Zhang
- Department of Oncology, The First Hospital of Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Fei Su
- Department of Oncology, The First Hospital of Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Ruixia Chang
- School of Public Health, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoling Ling
- Department of Oncology, The First Hospital of Lanzhou University, Lanzhou, 730000, People's Republic of China.
| | - Yana Bai
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China.
- Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China.
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