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Exosomes in Breast Cancer: Involvement in Tumor Dissemination and Prospects for Liquid Biopsy. Int J Mol Sci 2022; 23:ijms23168845. [PMID: 36012109 PMCID: PMC9408748 DOI: 10.3390/ijms23168845] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 08/04/2022] [Accepted: 08/06/2022] [Indexed: 12/03/2022] Open
Abstract
In women, breast cancer (BC) is the most commonly diagnosed cancer (24.5%) and the leading cause of cancer death (15.5%). Understanding how this heterogeneous disease develops and the confirm mechanisms behind tumor progression is of utmost importance. Exosomes are long-range message vesicles that mediate communication between cells in physiological conditions but also in pathology, such as breast cancer. In recent years, there has been an exponential rise in the scientific studies reporting the change in morphology and cargo of tumor-derived exosomes. Due to the transfer of biologically active molecules, such as RNA (microRNA, long non-coding RNA, mRNA, etc.) and proteins (transcription factors, enzymes, etc.) into recipient cells, these lipid bilayer 30–150 nm vesicles activate numerous signaling pathways that promote tumor development. In this review, we attempt to shed light on exosomes’ involvement in breast cancer pathogenesis (including epithelial-to-mesenchymal transition (EMT), tumor cell proliferation and motility, metastatic processes, angiogenesis stimulation, and immune system repression). Moreover, the potential use of exosomes as promising diagnostic biomarkers for liquid biopsy of breast cancer is also discussed.
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Scandolara TB, Valle SF, Esteves C, Scherer NDM, de Armas EM, Furtado C, Gomes R, Boroni M, Jaques HDS, Alves FM, Rech D, Panis C, Bonvicino CR. Somatic DNA Damage Response and Homologous Repair Gene Alterations and Its Association With Tumor Variant Burden in Breast Cancer Patients With Occupational Exposure to Pesticides. Front Oncol 2022; 12:904813. [PMID: 35875117 PMCID: PMC9305859 DOI: 10.3389/fonc.2022.904813] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 06/06/2022] [Indexed: 11/13/2022] Open
Abstract
Homologous recombination is a crucial pathway that is specialized in repairing double-strand breaks; thus, alterations in genes of this pathway may lead to loss of genomic stability and cell growth suppression. Pesticide exposure potentially increases cancer risk through several mechanisms, such as the genotoxicity caused by chronic exposure, leading to gene alteration. To analyze this hypothesis, we investigated if breast cancer patients exposed to pesticides present a different mutational pattern in genes related to homologous recombination (BRCA1, BRCA2, PALB2, and RAD51D) and damage-response (TP53) concerning unexposed patients. We performed multiplex PCR-based assays and next-generation sequencing (NGS) of all coding regions and flanking splicing sites of BRCA1, BRCA2, PALB2, TP53, and RAD51D in 158 unpaired tumor samples from breast cancer patients on MiSeq (Illumina) platform. We found that exposed patients had tumors with more pathogenic and likely pathogenic variants than unexposed patients (p = 0.017). In general, tumors that harbored a pathogenic or likely pathogenic variant had a higher mutational burden (p < 0.001). We also observed that breast cancer patients exposed to pesticides had a higher mutational burden when diagnosed before 50 years old (p = 0.00978) and/or when carrying BRCA1 (p = 0.0138), BRCA2 (p = 0.0366), and/or PALB2 (p = 0.00058) variants, a result not found in the unexposed group. Our results show that pesticide exposure impacts the tumor mutational landscape and could be associated with the carcinogenesis process, therapy response, and disease progression. Further studies should increase the observation period in exposed patients to better evaluate the impact of these findings.
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Affiliation(s)
- Thalita Basso Scandolara
- Department of Genetics, Biology Institute, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Sara Ferreira Valle
- Department of Genetics, Biology Institute, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Cristiane Esteves
- Bioinformatics and Computational Biology Laboratory, Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA), Rio de Janeiro, Brazil
| | - Nicole de Miranda Scherer
- Bioinformatics and Computational Biology Laboratory, Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA), Rio de Janeiro, Brazil
| | - Elvismary Molina de Armas
- Bioinformatics and Computational Biology Laboratory, Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA), Rio de Janeiro, Brazil
- Department of Informatics, Pontificia Universidade Católica (PUC)-Rio, Rio de Janeiro, Brazil
| | - Carolina Furtado
- Division of Genetics, Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA), Rio de Janeiro, Brazil
| | - Renan Gomes
- Division of Genetics, Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA), Rio de Janeiro, Brazil
| | - Mariana Boroni
- Bioinformatics and Computational Biology Laboratory, Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA), Rio de Janeiro, Brazil
| | | | - Fernanda Mara Alves
- Laboratory of Tumor Biology, State University of West Paraná, Francisco Beltrão, Brazil
| | - Daniel Rech
- Laboratory of Tumor Biology, State University of West Paraná, Francisco Beltrão, Brazil
- Francisco Beltrão Cancer Hospital, Francisco Beltrão, Brazil
| | - Carolina Panis
- Laboratory of Tumor Biology, State University of West Paraná, Francisco Beltrão, Brazil
| | - Cibele Rodrigues Bonvicino
- Department of Genetics, Biology Institute, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Division of Genetics, Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA), Rio de Janeiro, Brazil
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