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Banerjee S, Hatimuria M, Sarkar K, Das J, Pabbathi A, Sil PC. Recent Contributions of Mass Spectrometry-Based "Omics" in the Studies of Breast Cancer. Chem Res Toxicol 2024; 37:137-180. [PMID: 38011513 DOI: 10.1021/acs.chemrestox.3c00223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Breast cancer (BC) is one of the most heterogeneous groups of cancer. As every biotype of BC is unique and presents a particular "omic" signature, they are increasingly characterized nowadays with novel mass spectrometry (MS) strategies. BC therapeutic approaches are primarily based on the two features of human epidermal growth factor receptor 2 (HER2) and estrogen receptor (ER) positivity. Various strategic MS implementations are reported in studies of BC also involving data independent acquisitions (DIAs) of MS which report novel differential proteomic, lipidomic, proteogenomic, phosphoproteomic, and metabolomic characterizations associated with the disease and its therapeutics. Recently many "omic" studies have aimed to identify distinct subsidiary biotypes for diagnosis, prognosis, and targets of treatment. Along with these, drug-induced-resistance phenotypes are characterized by "omic" changes. These identifying aspects of the disease may influence treatment outcomes in the near future. Drug quantifications and characterizations are also done regularly and have implications in therapeutic monitoring and in drug efficacy assessments. We report these studies, mentioning their implications toward the understanding of BC. We briefly provide the MS instrumentation principles that are adopted in such studies as an overview with a brief outlook on DIA-MS strategies. In all of these, we have chosen a model cancer for its revelations through MS-based "omics".
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Affiliation(s)
- Subhrajit Banerjee
- Department of Physiology, Surendranath College, University of Calcutta, Kolkata 700009, India
- Department of Microbiology, St. Xavier's College, Kolkata 700016, India
| | - Madushmita Hatimuria
- Department of Industrial Chemistry, School of Physical Sciences, Mizoram University, Aizawl 796004, Mizoram India
| | - Kasturi Sarkar
- Department of Microbiology, St. Xavier's College, Kolkata 700016, India
| | - Joydeep Das
- Department of Chemistry, School of Physical Sciences, Mizoram University, Aizawl 796004, Mizoram, India
| | - Ashok Pabbathi
- Department of Industrial Chemistry, School of Physical Sciences, Mizoram University, Aizawl 796004, Mizoram India
| | - Parames C Sil
- Department of Molecular Medicine Bose Institute, Kolkata 700054, India
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Jayasinghe R, Jayarajah U, Seneviratne S. Circulating Biomarkers in the Management of Breast Cancer. Biomark Med 2022. [DOI: 10.2174/9789815040463122010009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Circulating biomarkers have become a promising modality in the
management of many cancers. Similarly, in breast cancer, circulatory biomarkers are
useful, non-invasive methods in the diagnosis, prognostication, and evaluation of
response to treatment. Invasive surgical biopsies can be potentially replaced by “liquid
biopsy,” which involves analysing circulatory biomarkers that may reveal features of
primary and metastatic disease. Therefore, providing an insight into the cancer biology
can be utilised to monitor treatment response, treatment-induced adaptation and tumour
and disease progression through non-invasive means. The objective of this review is to
provide an overview of the current status of the circulating biomarkers highlighting
their promising impact on the management of patients with breast cancer.
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Affiliation(s)
- Ravindri Jayasinghe
- Faculty of Medicine, University of Colombo,Department of Surgery,Department of Surgery, Faculty of Medicine, University of Colombo, Colombo,Sri Lanka
| | - Umesh Jayarajah
- Faculty of Medicine, University of Colombo,Department of Surgery,Department of Surgery, Faculty of Medicine, University of Colombo, Colombo,Sri Lanka
| | - Sanjeewa Seneviratne
- Faculty of Medicine, University of Colombo,Department of Surgery,Department of Surgery, Faculty of Medicine, University of Colombo, Colombo,Sri Lanka
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3
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Bouchal P, Schubert OT, Faktor J, Capkova L, Imrichova H, Zoufalova K, Paralova V, Hrstka R, Liu Y, Ebhardt HA, Budinska E, Nenutil R, Aebersold R. Breast Cancer Classification Based on Proteotypes Obtained by SWATH Mass Spectrometry. Cell Rep 2020; 28:832-843.e7. [PMID: 31315058 PMCID: PMC6656695 DOI: 10.1016/j.celrep.2019.06.046] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Revised: 03/06/2019] [Accepted: 06/12/2019] [Indexed: 01/10/2023] Open
Abstract
Accurate classification of breast tumors is vital for patient management decisions and enables more precise cancer treatment. Here, we present a quantitative proteotyping approach based on sequential windowed acquisition of all theoretical fragment ion spectra (SWATH) mass spectrometry and establish key proteins for breast tumor classification. The study is based on 96 tissue samples representing five conventional breast cancer subtypes. SWATH proteotype patterns largely recapitulate these subtypes; however, they also reveal varying heterogeneity within the conventional subtypes, with triple negative tumors being the most heterogeneous. Proteins that contribute most strongly to the proteotype-based classification include INPP4B, CDK1, and ERBB2 and are associated with estrogen receptor (ER) status, tumor grade status, and HER2 status. Although these three key proteins exhibit high levels of correlation with transcript levels (R > 0.67), general correlation did not exceed R = 0.29, indicating the value of protein-level measurements of disease-regulated genes. Overall, this study highlights how cancer tissue proteotyping can lead to more accurate patient stratification. Proteotyping of 96 breast tumors by SWATH mass spectrometry Three key proteins for breast tumor classification Varying degrees of heterogeneity within conventional breast cancer subtypes Generally modest correlation between protein and transcript levels in tumor tissue
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Affiliation(s)
- Pavel Bouchal
- Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic; Regional Centre for Applied Molecular Oncology, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
| | - Olga T Schubert
- Department of Biology, Institute of Molecular Systems Biology, Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland; Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jakub Faktor
- Regional Centre for Applied Molecular Oncology, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Lenka Capkova
- Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Hana Imrichova
- Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic; Center for Human Genetics, University of Leuven, Leuven, Belgium
| | - Karolina Zoufalova
- Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Vendula Paralova
- Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Roman Hrstka
- Regional Centre for Applied Molecular Oncology, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Yansheng Liu
- Department of Pharmacology, Yale Cancer Biology Institute, Yale University School of Medicine, West Haven, CT, USA
| | - Holger Alexander Ebhardt
- Department of Biology, Institute of Molecular Systems Biology, Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland; Systems Biology Ireland, University College Dublin, Dublin, Ireland
| | - Eva Budinska
- Regional Centre for Applied Molecular Oncology, Masaryk Memorial Cancer Institute, Brno, Czech Republic; Research Centre for Toxic Compounds in the Environment, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Rudolf Nenutil
- Regional Centre for Applied Molecular Oncology, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Ruedi Aebersold
- Department of Biology, Institute of Molecular Systems Biology, Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland; Faculty of Science, University of Zurich, Zurich, Switzerland.
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Schwich E, Rebmann V. The Inner and Outer Qualities of Extracellular Vesicles for Translational Purposes in Breast Cancer. Front Immunol 2018; 9:584. [PMID: 29632535 PMCID: PMC5879062 DOI: 10.3389/fimmu.2018.00584] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 03/08/2018] [Indexed: 12/14/2022] Open
Abstract
Breast cancer (BC) is the second most common cause of cancer mortality of women worldwide. BC is a systemic disease with a highly heterogeneous course of disease. Therefore, prognostic and diagnostic biomarkers are required to improve the clinical risk management. Cancer-derived or cancer-associated extracellular vesicles (EVs) procured from the bloodstream of BC patients offer a novel platform for the qualitative and quantitative screening and establishment of biomarkers. Here, we focus on common aspects of EVs, on the function of BC-derived EVs and their translational potential considering the EV abundancy, intravesicular as well as outer membrane-anchored composition and current challenges of implementation in clinical practice.
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Affiliation(s)
- Esther Schwich
- Institute for Transfusion Medicine, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Vera Rebmann
- Institute for Transfusion Medicine, University Hospital Essen, University Duisburg-Essen, Essen, Germany
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Tanase CP, Codrici E, Popescu ID, Mihai S, Enciu AM, Necula LG, Preda A, Ismail G, Albulescu R. Prostate cancer proteomics: Current trends and future perspectives for biomarker discovery. Oncotarget 2017; 8:18497-18512. [PMID: 28061466 PMCID: PMC5392345 DOI: 10.18632/oncotarget.14501] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Accepted: 12/27/2016] [Indexed: 02/07/2023] Open
Abstract
The clinical and fundamental research in prostate cancer - the most common urological cancer in men - is currently entering the proteomic and genomic era. The focus has switched from one single marker (PSA) to panels of biomarkers (including proteins involved in ribosomal function and heat shock proteins). Novel genetic markers (such as Transmembrane protease serine 2 (TMPRSS2)-ERG fusion gene mRNA) or prostate cancer gene 3 (PCA3) had already entered the clinical practice, raising the question whether subsequent protein changes impact the evolution of the disease and the response to treatment. Proteomic technologies such as MALDI-MS, SELDI-MS, i-TRAQ allow a qualitative/quantitative analysis of the proteome variations, in both serum and tumor tissue. A new trend in prostate cancer research is proteomic analysis of prostasomes (prostate-specific exosomes), for the discovery of new biomarkers. This paper provides an update of novel clinical tests used in research and clinical diagnostic, as well as of potential tissue or fluid biomarkers provided by extensive proteomic research data.
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Affiliation(s)
- Cristiana Pistol Tanase
- Department of Biochemistry-Proteomics, Victor Babes National Institute of Pathology, Bucharest, Romania
- Titu Maiorescu University, Faculty of Medicine, Bucharest, Romania
| | - Elena Codrici
- Department of Biochemistry-Proteomics, Victor Babes National Institute of Pathology, Bucharest, Romania
| | - Ionela Daniela Popescu
- Department of Biochemistry-Proteomics, Victor Babes National Institute of Pathology, Bucharest, Romania
| | - Simona Mihai
- Department of Biochemistry-Proteomics, Victor Babes National Institute of Pathology, Bucharest, Romania
| | - Ana-Maria Enciu
- Department of Biochemistry-Proteomics, Victor Babes National Institute of Pathology, Bucharest, Romania
- Department of Cell Biology and Histology, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Laura Georgiana Necula
- Department of Biochemistry-Proteomics, Victor Babes National Institute of Pathology, Bucharest, Romania
- Stefan S Nicolau Institute of Virology, Bucharest, Romania
| | - Adrian Preda
- Center for Uronephrology and Renal Transplantation, Fundeni Clinical Institute, Bucharest, Romania
| | - Gener Ismail
- Center of Internal Medicine-Nephrology, Fundeni Clinical Institute, Bucharest, Romania
- Carol Davila University of Medicine and Pharmacy, Faculty of Medicine, Bucharest, Romania
| | - Radu Albulescu
- Department of Biochemistry-Proteomics, Victor Babes National Institute of Pathology, Bucharest, Romania
- National Institute for Chemical Pharmaceutical R&D, Bucharest, Romania
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Faktor J, Sucha R, Paralova V, Liu Y, Bouchal P. Comparison of targeted proteomics approaches for detecting and quantifying proteins derived from human cancer tissues. Proteomics 2017; 17. [DOI: 10.1002/pmic.201600323] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Revised: 11/30/2016] [Accepted: 12/09/2016] [Indexed: 11/06/2022]
Affiliation(s)
- Jakub Faktor
- Regional Centre for Applied Molecular Oncology; Masaryk Memorial Cancer Institute; Brno Czech Republic
| | - Rita Sucha
- Laboratory of Applied Proteome Analyses and Research Center PIGMOD; Institute of Animal Physiology and Genetics, Academy of Sciences of the Czech Republic; Libechov Czech Republic
| | - Vendula Paralova
- Department of Biochemistry, Faculty of Science; Masaryk University; Brno Czech Republic
| | - Yansheng Liu
- Department of Biology, Institute of Molecular Systems Biology; ETH Zurich; Zurich Switzerland
| | - Pavel Bouchal
- Regional Centre for Applied Molecular Oncology; Masaryk Memorial Cancer Institute; Brno Czech Republic
- Department of Biochemistry, Faculty of Science; Masaryk University; Brno Czech Republic
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Saia-Cereda VM, Cassoli JS, Martins-de-Souza D, Nascimento JM. Psychiatric disorders biochemical pathways unraveled by human brain proteomics. Eur Arch Psychiatry Clin Neurosci 2017; 267:3-17. [PMID: 27377417 DOI: 10.1007/s00406-016-0709-2] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Accepted: 06/25/2016] [Indexed: 12/17/2022]
Abstract
Approximately 25 % of the world population is affected by a mental disorder at some point in their life. Yet, only in the mid-twentieth century a biological cause has been proposed for these diseases. Since then, several studies have been conducted toward a better comprehension of those disorders, and although a strong genetic influence was revealed, the role of these genes in disease mechanism is still unclear. This led most recent studies to focus on the molecular basis of mental disorders. One line of investigation that has risen in the post-genomic era is proteomics, due to its power of revealing proteins and biochemical pathways associated with biological systems. Therefore, this review compiled and analyzed data of differentially expressed proteins, which were found in postmortem brain studies of the three most prevalent psychiatric diseases: schizophrenia, bipolar disorder and major depressive disorders. Overviewing both the proteomic methods used in postmortem brain studies, the most consistent metabolic pathways found altered in these diseases. We have unraveled those disorders share about 21 % of proteins affected, and though most are related to energy metabolism pathways deregulation, the main differences found are 14-3-3-mediated signaling in schizophrenia, mitochondrial dysfunction in bipolar disorder and oxidative phosphorylation in depression.
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Affiliation(s)
- Verônica M Saia-Cereda
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Rua Monteiro Lobato, 255, Campinas, SP, 13083-862, Brazil
| | - Juliana S Cassoli
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Rua Monteiro Lobato, 255, Campinas, SP, 13083-862, Brazil
| | - Daniel Martins-de-Souza
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Rua Monteiro Lobato, 255, Campinas, SP, 13083-862, Brazil. .,UNICAMP's Neurobiology Center, Campinas, Brazil.
| | - Juliana M Nascimento
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Rua Monteiro Lobato, 255, Campinas, SP, 13083-862, Brazil.,D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
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