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Minic Z, Li Y, Hüttmann N, Uppal GK, D’Mello R, Berezovski MV. Lysine Acetylome of Breast Cancer-Derived Small Extracellular Vesicles Reveals Specific Acetylation Patterns for Metabolic Enzymes. Biomedicines 2023; 11:biomedicines11041076. [PMID: 37189694 DOI: 10.3390/biomedicines11041076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 03/20/2023] [Accepted: 03/29/2023] [Indexed: 04/05/2023] Open
Abstract
Cancer-derived small extracellular vesicles have been proposed as promising potential biomarkers for diagnosis and prognosis of breast cancer (BC). We performed a proteomic study of lysine acetylation of breast cancer-derived small extracellular vesicles (sEVs) to understand the potential role of the aberrant acetylated proteins in the biology of invasive ductal carcinoma and triple-negative BC. Three cell lines were used as models for this study: MCF10A (non-metastatic), MCF7 (estrogen and progesterone receptor-positive, metastatic) and MDA-MB-231 (triple-negative, highly metastatic). For a comprehensive protein acetylation analysis of the sEVs derived from each cell line, acetylated peptides were enriched using the anti-acetyl-lysine antibody, followed by LC-MS/MS analysis. In total, there were 118 lysine-acetylated peptides, of which 22, 58 and 82 have been identified in MCF10A, MCF7 and MDA-MB-231 cell lines, respectively. These acetylated peptides were mapped to 60 distinct proteins and mainly identified proteins involved in metabolic pathways. Among the acetylated proteins identified in cancer-derived sEVs from MCF7 and MDA-MB-231 cell lines are proteins associated with the glycolysis pathway, annexins and histones. Five acetylated enzymes from the glycolytic pathway, present only in cancer-derived sEVs, were validated. These include aldolase (ALDOA), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), phosphoglycerate kinase (PGK1), enolase (ENO) and pyruvate kinase M1/2 (PKM). For three of these enzymes (ALDOA, PGK1 and ENO) the specific enzymatic activity was significantly higher in MDA-MB-231 when compared with MCF10A-derived sEVs. This study reveals that sEVs contain acetylated glycolytic metabolic enzymes that could be interesting potential candidates for early BC diagnostics.
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Affiliation(s)
- Zoran Minic
- John L. Holmes Mass Spectrometry Facility, Faculty of Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada
| | - Yingxi Li
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada
| | - Nico Hüttmann
- John L. Holmes Mass Spectrometry Facility, Faculty of Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada
| | - Gurcharan K. Uppal
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada
| | - Rochelle D’Mello
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada
| | - Maxim V. Berezovski
- John L. Holmes Mass Spectrometry Facility, Faculty of Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada
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D’Angelo A, Kilili H, Chapman R, Generali D, Tinhofer I, Luminari S, Donati B, Ciarrocchi A, Giannini R, Moretto R, Cremolini C, Pietrantonio F, Sobhani N, Bonazza D, Prins R, Song SG, Jeon YK, Pisignano G, Cinelli M, Bagby S, Urrutia AO. Immune-related pan-cancer gene expression signatures of patient survival revealed by NanoString-based analyses. PLoS One 2023; 18:e0280364. [PMID: 36649303 PMCID: PMC9844904 DOI: 10.1371/journal.pone.0280364] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 12/28/2022] [Indexed: 01/18/2023] Open
Abstract
The immune system plays a central role in the onset and progression of cancer. A better understanding of transcriptional changes in immune cell-related genes associated with cancer progression, and their significance in disease prognosis, is therefore needed. NanoString-based targeted gene expression profiling has advantages for deployment in a clinical setting over RNA-seq technologies. We analysed NanoString PanCancer Immune Profiling panel gene expression data encompassing 770 genes, and overall survival data, from multiple previous studies covering 10 different cancer types, including solid and blood malignancies, across 515 patients. This analysis revealed an immune gene signature comprising 39 genes that were upregulated in those patients with shorter overall survival; of these 39 genes, three (MAGEC2, SSX1 and ULBP2) were common to both solid and blood malignancies. Most of the genes identified have previously been reported as relevant in one or more cancer types. Using Cibersort, we investigated immune cell levels within individual cancer types and across groups of cancers, as well as in shorter and longer overall survival groups. Patients with shorter survival had a higher proportion of M2 macrophages and γδ T cells. Patients with longer overall survival had a higher proportion of CD8+ T cells, CD4+ T memory cells, NK cells and, unexpectedly, T regulatory cells. Using a transcriptomics platform with certain advantages for deployment in a clinical setting, our multi-cancer meta-analysis of immune gene expression and overall survival data has identified a specific transcriptional profile associated with poor overall survival.
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Affiliation(s)
- Alberto D’Angelo
- Department of Life Sciences, University of Bath, Bath, United Kingdom
- Oncology Department, Royal United Hospital, Bath, United Kingdom
- * E-mail:
| | - Huseyin Kilili
- Milner Centre, Department of Life Sciences, University of Bath, Bath, United Kingdom
| | - Robert Chapman
- Department of Medicine, The Princess Alexandra Hospital, Harlow, United Kingdom
| | - Daniele Generali
- Multidisciplinary Unit of Breast Pathology and Translational Research, Cremona Hospital, Cremona, Italy
| | - Ingeborg Tinhofer
- Department of Radiooncology and Radiotherapy, Charite´ University Hospital, Berlin, Germany
| | - Stefano Luminari
- Hematology Unit, Azienda USL-IRCCS, Reggio Emilia, Italy
- Surgical, Medical and Dental Department of Morphological Sciences Related to Transplant, Oncology and Regenerative Medicine, University of Modena and Reggio Emilia, Reggio Emilia, Italy
| | - Benedetta Donati
- Translational Research Laboratory, Azienda USL-IRCCS, Reggio Emilia, Italy
| | - Alessia Ciarrocchi
- Translational Research Laboratory, Azienda USL-IRCCS, Reggio Emilia, Italy
| | - Riccardo Giannini
- Department of Surgery, Clinical, Molecular and Critical Care Pathology, University of Pisa, Pisa, Italy
| | - Roberto Moretto
- Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
| | - Chiara Cremolini
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | | | - Navid Sobhani
- Section of Epidemiology and Population Science, Department of Medicine, Baylor College of Medicine, Houston, Texas, United States of America
| | - Debora Bonazza
- Department of Medical, Surgical and Health Sciences, Cattinara Hospital, University of Trieste, Trieste, Italy
| | - Robert Prins
- Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Seung Geun Song
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yoon Kyung Jeon
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
| | | | - Mattia Cinelli
- Department of Life Sciences, University of Bath, Bath, United Kingdom
| | - Stefan Bagby
- Department of Life Sciences, University of Bath, Bath, United Kingdom
| | - Araxi O. Urrutia
- Milner Centre, Department of Life Sciences, University of Bath, Bath, United Kingdom
- Instituto de Ecologia, UNAM, Ciudad de Mexico, Mexico
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Development of an Independent Prognostic Signature Based on Three Hypoxia-Related Genes for Breast Cancer. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:2974126. [DOI: 10.1155/2022/2974126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 09/29/2022] [Accepted: 10/08/2022] [Indexed: 11/06/2022]
Abstract
Background. Hypoxia was considered to be a prognostic indicator in a variety of solid tumors. This study aims at identifying the hypoxia-related genes (HRGs) in breast cancer (BC) and the feasibility of HRGs as a prognostic indicator. Methods. We downloaded the mRNA expression data of BC patients from TCGA and GEO databases. The LASSO Cox regression analysis was applied to screen the hub HRGs to establish a prognostic Risk Score. The independence of Risk Score was assessed by multivariate Cox regression analysis. And the immune checkpoint analysis was also performed. In addition, we also detected the expression level of hub HRGs in MCF-10A cells, MCF-7 cells, and SK-BR-3 cells by RT-qPCR. Results. Three HRGs were identified as hub genes with prognostic value in BC, including CA9, PGK1, and SDC1. The Risk Score constructed by these three genes could efficiently distinguish the prognosis of different BC patients and has been shown to be an independent prognostic indicator. In the high-risk group, patients had lower overall survival and poorer prognosis. In addition, the expression levels of five immune checkpoints (PD1, CTLA4, TIGIT, LAG3, and TIM3) in the high-risk group were significantly higher than those in the low-risk group. Moreover, the expression levels of PGK1 and SDC1 in BC cells were significantly increased. Conclusion. In this study, we established an efficiently model based on three optimal HRGs (CA9, PGK1, and SDC1) could clearly distinguish the prognosis of different BC patients.
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