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Alipour B, Veisi Malekshahi Z, Pourjafar F, Faridi-Majidi R, Negahdari B. Anticancer effects of simvastatin-loaded albumin nanoparticles on monolayer and spheroid models of breast cancer. Biochem Biophys Res Commun 2024; 734:150591. [PMID: 39255745 DOI: 10.1016/j.bbrc.2024.150591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Revised: 08/19/2024] [Accepted: 08/22/2024] [Indexed: 09/12/2024]
Abstract
Breast cancer is a prominent cause of death among women and is distinguished by a high occurrence of metastasis. From this perspective, apart from conventional therapies, several alternative approaches have been researched and explored in recent years, including the utilization of nano-albumin and statin medications like simvastatin. The objective of this study was to prepare albumin nanoparticles incorporating simvastatin by the self-assembly method and evaluate their impact on breast cancer metastasis and apoptosis. The data showed the prepared nanoparticles have a diameter of 185 ± 24nm and a drug loading capacity of 8.85 %. The findings exhibit improved release in a lysosomal-like environment and under acidic pH conditions. MTT data showed that nanoparticles do not exhibit a dose-dependent effect on cells. Additionally, the results from MTT, flow cytometry, and qPCR analyses demonstrated that nanoparticles have a greater inhibitory and lethal effect on MDA-MB-231 cells compared to normal simvastatin. And cause cells to accumulate in the G0/G1 phase, initiating apoptotic pathways by inhibiting cell cycle progression. Nanoparticles containing simvastatin can prevent cell invasion and migration in both monolayer and spheroid models, as compared to simvastatin alone, at microscopic levels and in gene expression. The obtained data clearly showed that, compared to simvastatin, nanoparticles containing simvastatin demonstrated significant efficacy in suppressing the growth, proliferation, invasion, and migration of cancer cells in monolayer (2D) and spheroid (3D) models.
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Affiliation(s)
- Behruz Alipour
- Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Ziba Veisi Malekshahi
- Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Farnaz Pourjafar
- Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Reza Faridi-Majidi
- Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Babak Negahdari
- Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
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2
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Wu Y, Li Z, Lee AV, Oesterreich S, Luo B. Liver tropism of ER mutant breast cancer is characterized by unique molecular changes and immune infiltration. Breast Cancer Res Treat 2024; 205:371-386. [PMID: 38427312 DOI: 10.1007/s10549-024-07255-4] [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: 10/18/2023] [Accepted: 01/11/2024] [Indexed: 03/02/2024]
Abstract
PURPOSE Hotspot estrogen receptor alpha (ER/ESR1) mutations are recognized as the driver for both endocrine resistance and metastasis in advanced ER-positive (ER+) breast cancer, but their contributions to metastatic organ tropism remain insufficiently understood. In this study, we aim to comprehensively profile the organotropic metastatic pattern for ESR1 mutant breast cancer. METHODS The organ-specific metastatic pattern of ESR1 mutant breast cancer was delineated using multi-omics data from multiple publicly available cohorts of ER+ metastatic breast cancer patients. Gene mutation/copy number variation (CNV) and differential gene expression analyses were performed to identify the genomic and transcriptomic alterations uniquely associated with ESR1 mutant liver metastasis. Upstream regulator, downstream pathway, and immune infiltration analysis were conducted for subsequent mechanistic investigations. RESULTS ESR1 mutation-driven liver tropism was revealed by significant differences, encompassing a higher prevalence of liver metastasis in patients with ESR1 mutant breast cancer and an enrichment of mutations in liver metastatic samples. The significant enrichment of AGO2 copy number amplifications (CNAs) and multiple gene expression changes were revealed uniquely in ESR1 mutant liver metastasis. We also unveiled alterations in downstream signaling pathways and immune infiltration, particularly an enrichment of neutrophils, suggesting potential therapeutic vulnerabilities. CONCLUSION Our data provide a comprehensive characterization of the behaviors and mechanisms of ESR1 mutant liver metastasis, paving the way for the development of personalized therapy to target liver metastasis for patients with ESR1 mutant breast cancer.
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Affiliation(s)
- Yang Wu
- School of Medicine, Tsinghua University, Beijing, China
- Women's Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh, PA, USA
| | - Zheqi Li
- Women's Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh, PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Adrian V Lee
- Women's Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh, PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA
- Institute for Precision Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Steffi Oesterreich
- Women's Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh, PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Bin Luo
- Department of General Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, 102218, China.
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Hu D, Qin B, Zhang L, Bu H. Construction of an oxidative stress-associated genes signature in breast cancer by machine learning algorithms. J Int Med Res 2024; 52:3000605241232560. [PMID: 38520254 PMCID: PMC10960342 DOI: 10.1177/03000605241232560] [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: 08/06/2023] [Accepted: 01/26/2024] [Indexed: 03/25/2024] Open
Abstract
OBJECTIVE To construct a prognostic model of a breast cancer-related oxidative stress-related gene (OSRG) signature using machine learning algorithms. METHODS The OSRGs of breast cancer were constructed by least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis. The Cancer Genome Atlas (TCGA) was used to analyse the gene expression and prognostic value. The Human Protein Atlas was used to analyse the protein expression of hub genes. Receiver operating characteristic analysis, calibration curve and decision curve analysis were used to predict the stability of this model. RESULTS The area under the curve of 1-, 3- and 5-year overall survival were 0.751, 0.707 and 0.645 in the TCGA training dataset; and 0.692, 0.678 and 0.602 in the TCGA testing dataset, respectively. Calibration plot showed good agreement between predicted probabilities and observed outcomes. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA) pathway analysis indicated that multiple cancer-related pathways were highly enriched in the high-risk group. Immune infiltration analysis showed immune cells and their functions may play a key role in the development and mechanism of breast cancer. CONCLUSIONS This new OSRG signature was associated with the immune infiltration and it might be useful in predicting the prognosis in patients with breast cancer.
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Affiliation(s)
- Daojun Hu
- Department of Laboratory Medicine, Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Bing Qin
- Department of Laboratory Medicine, Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Li Zhang
- Department of Laboratory Medicine, Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Hanli Bu
- Department of General Practice, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, China
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4
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Shao W, Li J, Piao Q, Yao X, Li M, Wang S, Song Z, Sun Y, Zheng L, Wang G, Liu L, Yu C, Huang Y, Bao Y, Sun L. FRMD3 inhibits the growth and metastasis of breast cancer through the ubiquitination-mediated degradation of vimentin and subsequent impairment of focal adhesion. Cell Death Dis 2023; 14:13. [PMID: 36631457 PMCID: PMC9834407 DOI: 10.1038/s41419-023-05552-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 12/21/2022] [Accepted: 01/03/2023] [Indexed: 01/12/2023]
Abstract
Recurrence and metastasis are the main causes of breast cancer (BRCA)-related death and remain a challenge for treatment. In-depth research on the molecular mechanisms underlying BRCA progression has been an important basis for developing precise biomarkers and therapy targets for early prediction and treatment of progressed BRCA. Herein, we identified FERM domain-containing protein 3 (FRMD3) as a novel potent BRCA tumor suppressor which is significantly downregulated in BRCA clinical tissue and cell lines, and low FRMD3 expression has been closely associated with progressive BRCA and shortened survival time in BRCA patients. Overexpression and knockdown experiments have revealed that FRMD3 significantly inhibits BRCA cell proliferation, migration, and invasion in vitro and suppresses BRCA xenograft growth and metastasis in vivo as well. Mechanistically, FRMD3 can interact with vimentin and ubiquitin protein ligase E3A(UBE3A) to induce the polyubiquitin-mediated proteasomal degradation of vimentin, which subsequently downregulates focal adhesion complex proteins and pro-cancerous signaling activation, thereby resulting in cytoskeletal rearrangement and defects in cell morphology and focal adhesion. Further evidence has confirmed that FRMD3-mediated vimentin degradation accounts for the anti-proliferation and anti-metastasis effects of FRMD3 on BRCA. Moreover, the N-terminal ubiquitin-like domain of FRMD3 has been identified as responsible for FRMD3-vimentin interaction through binding the head domain of vimentin and the truncated FRMD3 with the deletion of ubiquitin-like domain almost completely loses the anti-BRCA effects. Taken together, our study indicates significant potential for the use of FRMD3 as a novel prognosis biomarker and a therapeutic target of BRCA and provides an additional mechanism underlying the degradation of vimentin and BRCA progression.
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Affiliation(s)
- Wenjun Shao
- National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, 130024, China
- NMPA Key Laboratory for Quality of Cell and Gene Therapy Medicinal Products, Northeast Normal University, Changchun, 130024, China
| | - Jiawei Li
- National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, 130024, China
| | - Qianling Piao
- National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, 130024, China
| | - Xinlei Yao
- National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, 130024, China
| | - Mingyue Li
- NMPA Key Laboratory for Quality of Cell and Gene Therapy Medicinal Products, Northeast Normal University, Changchun, 130024, China
| | - Shuyue Wang
- NMPA Key Laboratory for Quality of Cell and Gene Therapy Medicinal Products, Northeast Normal University, Changchun, 130024, China
| | - Zhenbo Song
- National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, 130024, China
| | - Ying Sun
- National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, 130024, China
| | - Lihua Zheng
- NMPA Key Laboratory for Quality of Cell and Gene Therapy Medicinal Products, Northeast Normal University, Changchun, 130024, China
| | - Guannan Wang
- NMPA Key Laboratory for Quality of Cell and Gene Therapy Medicinal Products, Northeast Normal University, Changchun, 130024, China
| | - Lei Liu
- NMPA Key Laboratory for Quality of Cell and Gene Therapy Medicinal Products, Northeast Normal University, Changchun, 130024, China
| | - Chunlei Yu
- NMPA Key Laboratory for Quality of Cell and Gene Therapy Medicinal Products, Northeast Normal University, Changchun, 130024, China
| | - Yanxin Huang
- National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, 130024, China
| | - Yongli Bao
- National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, 130024, China
| | - Luguo Sun
- National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, 130024, China.
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Lorusso G, Wyss CB, Kuonen F, Vannini N, Billottet C, Duffey N, Pineau R, Lan Q, Wirapati P, Barras D, Tancredi A, Lyck R, Lehr HA, Engelhardt B, Delorenzi M, Bikfalvi A, Rüegg C. Connexins orchestrate progression of breast cancer metastasis to the brain by promoting FAK activation. Sci Transl Med 2022; 14:eaax8933. [PMID: 36070364 DOI: 10.1126/scitranslmed.aax8933] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Brain metastasis is a complication of increasing incidence in patients with breast cancer at advanced disease stage. It is a severe condition characterized by a rapid decline in quality of life and poor prognosis. There is a critical clinical need to develop effective therapies to prevent and treat brain metastases. Here, we describe a unique and robust spontaneous preclinical model of breast cancer metastasis to the brain (4T1-BM2) in mice that has been instrumental in uncovering molecular mechanisms guiding metastatic dissemination and colonization of the brain. Key experimental findings were validated in the additional murine D2A1-BM2 model and in human MDA231-BrM2 model. Gene expression analyses and functional studies, coupled with clinical transcriptomic and histopathological investigations, identified connexins (Cxs) and focal adhesion kinase (FAK) as master molecules orchestrating breast cancer colonization of the brain. Cx31 promoted homotypic tumor cell adhesion, heterotypic tumor-astrocyte interaction, and FAK phosphorylation. FAK signaling prompted NF-κB activation inducing Lamc2 expression and laminin 332 (laminin 5) deposition, α6 integrin-mediated adhesion, and sustained survival and growth within brain parenchyma. In the MDA231-BrM2 model, the human homologous molecules CX43, LAMA4, and α3 integrin were involved. Systemic treatment with FAK inhibitors reduced brain metastasis progression. In conclusion, we report a spontaneous model of breast cancer metastasis to the brain and identified Cx-mediated FAK-NF-κB signaling as a mechanism promoting cell-autonomous and microenvironmentally controlled cell survival for brain colonization. Considering the limited therapeutic options for brain metastatic disease in cancer patients, we propose FAK as a therapeutic candidate to further pursue in the clinic.
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Affiliation(s)
- Girieca Lorusso
- Experimental and Translational Oncology, Pathology Unit, Department of Oncology Microbiology and Immunology (OMI), Faculty of Science and Medicine, University of Fribourg, Fribourg 1700, Switzerland.,Division of Experimental Oncology, Multidisciplinary Oncology Center (CePO), Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Faculty of Biology and Medicine, Epalinges 1066, Switzerland.,National Center for Competence in Research (NCCR) Molecular Oncology, Swiss Institute of Experimental Cancer Research, Ecole Polytechnique Fédérale de Lausanne (ISREC-EPFL), Lausanne 1015, Switzerland
| | - Christof B Wyss
- Experimental and Translational Oncology, Pathology Unit, Department of Oncology Microbiology and Immunology (OMI), Faculty of Science and Medicine, University of Fribourg, Fribourg 1700, Switzerland
| | - François Kuonen
- Division of Experimental Oncology, Multidisciplinary Oncology Center (CePO), Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Faculty of Biology and Medicine, Epalinges 1066, Switzerland.,National Center for Competence in Research (NCCR) Molecular Oncology, Swiss Institute of Experimental Cancer Research, Ecole Polytechnique Fédérale de Lausanne (ISREC-EPFL), Lausanne 1015, Switzerland
| | - Nicola Vannini
- Ludwig Institute for Cancer Research (LICR), Department of Oncology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Epalinges 1066, Switzerland
| | | | - Nathalie Duffey
- Experimental and Translational Oncology, Pathology Unit, Department of Oncology Microbiology and Immunology (OMI), Faculty of Science and Medicine, University of Fribourg, Fribourg 1700, Switzerland
| | - Raphael Pineau
- INSERM U1029 and University of Bordeaux, Pessac Cedex 33615, France
| | - Qiang Lan
- Experimental and Translational Oncology, Pathology Unit, Department of Oncology Microbiology and Immunology (OMI), Faculty of Science and Medicine, University of Fribourg, Fribourg 1700, Switzerland.,Division of Experimental Oncology, Multidisciplinary Oncology Center (CePO), Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Faculty of Biology and Medicine, Epalinges 1066, Switzerland.,National Center for Competence in Research (NCCR) Molecular Oncology, Swiss Institute of Experimental Cancer Research, Ecole Polytechnique Fédérale de Lausanne (ISREC-EPFL), Lausanne 1015, Switzerland
| | - Pratyaksha Wirapati
- Bioinformatics Core Facility, Swiss Institute for Bioinformatics (SIB), Lausanne 1015, Switzerland
| | - David Barras
- Bioinformatics Core Facility, Swiss Institute for Bioinformatics (SIB), Lausanne 1015, Switzerland
| | - Alessandro Tancredi
- Experimental and Translational Oncology, Pathology Unit, Department of Oncology Microbiology and Immunology (OMI), Faculty of Science and Medicine, University of Fribourg, Fribourg 1700, Switzerland
| | - Ruth Lyck
- Theodor Kocher Institute, University of Bern (UNIBE), Bern 3012, Switzerland
| | - Hans-Anton Lehr
- Institute of Pathology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne 1011, Switzerland
| | - Britta Engelhardt
- Theodor Kocher Institute, University of Bern (UNIBE), Bern 3012, Switzerland
| | - Mauro Delorenzi
- Bioinformatics Core Facility, Swiss Institute for Bioinformatics (SIB), Lausanne 1015, Switzerland
| | - Andreas Bikfalvi
- INSERM U1029 and University of Bordeaux, Pessac Cedex 33615, France
| | - Curzio Rüegg
- Experimental and Translational Oncology, Pathology Unit, Department of Oncology Microbiology and Immunology (OMI), Faculty of Science and Medicine, University of Fribourg, Fribourg 1700, Switzerland.,Division of Experimental Oncology, Multidisciplinary Oncology Center (CePO), Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Faculty of Biology and Medicine, Epalinges 1066, Switzerland.,National Center for Competence in Research (NCCR) Molecular Oncology, Swiss Institute of Experimental Cancer Research, Ecole Polytechnique Fédérale de Lausanne (ISREC-EPFL), Lausanne 1015, Switzerland
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6
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Zhang H, Ma H, Yang X, Fan L, Tian S, Niu R, Yan M, Zheng M, Zhang S. Cell Fusion-Related Proteins and Signaling Pathways, and Their Roles in the Development and Progression of Cancer. Front Cell Dev Biol 2022; 9:809668. [PMID: 35178400 PMCID: PMC8846309 DOI: 10.3389/fcell.2021.809668] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 12/22/2021] [Indexed: 12/16/2022] Open
Abstract
Cell fusion is involved in many physiological and pathological processes, including gamete binding, and cancer development. The basic processes of cell fusion include membrane fusion, cytoplasmic mixing, and nuclear fusion. Cell fusion is regulated by different proteins and signaling pathways. Syncytin-1, syncytin-2, glial cell missing 1, galectin-1 and other proteins (annexins, myomaker, myomerger etc.) involved in cell fusion via the cyclic adenosine-dependent protein kinase A, mitogen-activated protein kinase, wingless/integrase-1, and c-Jun N-terminal kinase signaling pathways. In the progression of malignant tumors, cell fusion is essential during the organ-specific metastasis, epithelial-mesenchymal transformation, the formation of cancer stem cells (CSCs), cancer angiogenesis and cancer immunity. In addition, diploid cells can be induced to form polyploid giant cancer cells (PGCCs) via cell fusion under many kinds of stimuli, including cobalt chloride, chemotherapy, radiotherapy, and traditional Chinese medicine. PGCCs have CSC-like properties, and the daughter cells derived from PGCCs have a mesenchymal phenotype and exhibit strong migration, invasion, and proliferation abilities. Therefore, exploring the molecular mechanisms of cell fusion can enable us better understand the development of malignant tumors. In this review, the basic process of cell fusion and its significance in cancer is discussed.
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Affiliation(s)
- Hao Zhang
- Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Hong Ma
- Tianjin Union Medical Center, Nankai University, Tianjin, China
| | - Xiaohui Yang
- Nankai University School of Medicine, Nankai University, Tianjin, China
| | - Linlin Fan
- Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Shifeng Tian
- Graduate School, Tianjin Medical University, Tianjin, China
| | - Rui Niu
- Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Man Yan
- Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Minying Zheng
- Tianjin Union Medical Center, Nankai University, Tianjin, China
| | - Shiwu Zhang
- Tianjin Union Medical Center, Nankai University, Tianjin, China
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