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Joshi N, Garapati K, Ghose V, Kandasamy RK, Pandey A. Recent progress in mass spectrometry-based urinary proteomics. Clin Proteomics 2024; 21:14. [PMID: 38389064 PMCID: PMC10885485 DOI: 10.1186/s12014-024-09462-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 02/12/2024] [Indexed: 02/24/2024] Open
Abstract
Serum or plasma is frequently utilized in biomedical research; however, its application is impeded by the requirement for invasive sample collection. The non-invasive nature of urine collection makes it an attractive alternative for disease characterization and biomarker discovery. Mass spectrometry-based protein profiling of urine has led to the discovery of several disease-associated biomarkers. Proteomic analysis of urine has not only been applied to disorders of the kidney and urinary bladder but also to conditions affecting distant organs because proteins excreted in the urine originate from multiple organs. This review provides a progress update on urinary proteomics carried out over the past decade. Studies summarized in this review have expanded the catalog of proteins detected in the urine in a variety of clinical conditions. The wide range of applications of urine analysis-from characterizing diseases to discovering predictive, diagnostic and prognostic markers-continues to drive investigations of the urinary proteome.
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Affiliation(s)
- Neha Joshi
- Manipal Academy of Higher Education (MAHE), Manipal, 576104, India
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Kishore Garapati
- Manipal Academy of Higher Education (MAHE), Manipal, 576104, India
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Vivek Ghose
- Manipal Academy of Higher Education (MAHE), Manipal, 576104, India
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
| | - Richard K Kandasamy
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Akhilesh Pandey
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India.
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA.
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA.
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2
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Temilola DO, Wium M, Paccez J, Salukazana AS, Rotimi SO, Otu HH, Carbone GM, Kaestner L, Cacciatore S, Zerbini LF. Detection of Cancer-Associated Gene Mutations in Urinary Cell-Free DNA among Prostate Cancer Patients in South Africa. Genes (Basel) 2023; 14:1884. [PMID: 37895233 PMCID: PMC10606409 DOI: 10.3390/genes14101884] [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: 08/10/2023] [Revised: 09/14/2023] [Accepted: 09/25/2023] [Indexed: 10/29/2023] Open
Abstract
Prostate cancer (PCa) is the most common cause of cancer death among African men. The presence of tumor-specific variations in cell-free DNA (cfDNA), such as mutations, microsatellite instability, and DNA methylation, has been explored as a source of biomarkers for cancer diagnosis. In this study, we investigated the diagnostic role of cfDNA among South African PCa patients. We performed whole exome sequencing (WES) of urinary cfDNA. We identified a novel panel of 31 significantly deregulated somatic mutated genes between PCa and benign prostatic hyperplasia (BPH). Additionally, we performed whole-genome sequencing (WGS) on matching PCa and normal prostate tissue in an independent PCa cohort from South Africa. Our results suggest that the mutations are of germline origin as they were also found in the normal prostate tissue. In conclusion, our study contributes to the knowledge of cfDNA as a biomarker for diagnosing PCa in the South African population.
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Affiliation(s)
- Dada Oluwaseyi Temilola
- International Centre for Genetic Engineering and Biotechnology (ICGEB), Cape Town 7925, South Africa; (D.O.T.); (M.W.); (J.P.); (S.C.)
- Integrative Biomedical Sciences Division, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa
| | - Martha Wium
- International Centre for Genetic Engineering and Biotechnology (ICGEB), Cape Town 7925, South Africa; (D.O.T.); (M.W.); (J.P.); (S.C.)
| | - Juliano Paccez
- International Centre for Genetic Engineering and Biotechnology (ICGEB), Cape Town 7925, South Africa; (D.O.T.); (M.W.); (J.P.); (S.C.)
| | - Azola Samkele Salukazana
- Division of Urology, University of Cape Town, Groote Schuur Hospital, Cape Town 7925, South Africa; (A.S.S.); (L.K.)
| | | | - Hasan H. Otu
- Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, USA;
| | - Giuseppina M. Carbone
- Institute of Oncology Research (IOR), Università della Svizzera italiana, 6900 Bellinzona, Switzerland;
| | - Lisa Kaestner
- Division of Urology, University of Cape Town, Groote Schuur Hospital, Cape Town 7925, South Africa; (A.S.S.); (L.K.)
| | - Stefano Cacciatore
- International Centre for Genetic Engineering and Biotechnology (ICGEB), Cape Town 7925, South Africa; (D.O.T.); (M.W.); (J.P.); (S.C.)
| | - Luiz Fernando Zerbini
- International Centre for Genetic Engineering and Biotechnology (ICGEB), Cape Town 7925, South Africa; (D.O.T.); (M.W.); (J.P.); (S.C.)
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3
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Samtal C, El Jaddaoui I, Hamdi S, Bouguenouch L, Ouldim K, Nejjari C, Ghazal H, Bekkari H. Review of prostate cancer genomic studies in Africa. Front Genet 2022; 13:911101. [DOI: 10.3389/fgene.2022.911101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 09/28/2022] [Indexed: 12/24/2022] Open
Abstract
Prostate cancer (PCa) is the second most commonly diagnosed in men worldwide and one of the most frequent cancers in men in Africa. The heterogeneity of this cancer fosters the need to identify potential genetic risk factors/biomarkers. Omics variations may significantly contribute to early diagnosis and personalized treatment. However, there are few genomic studies of this disease in African populations. This review sheds light on the status of genomics research on PCa in Africa and outlines the common variants identified thus far. The allele frequencies of the most significant SNPs in Afro-native, Afro-descendants, and European populations were compared. We advocate how these few but promising data will aid in understanding, better diagnosing, and precisely treating this cancer and the need for further collaborative research on the genomics of PCa in the African continent.
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Fernandez PW. Prostate Cancer Genomics Research Disparities in Africa: Advancing Knowledge in Resource Constrained Settings. Cancer Control 2022; 29:10732748221095952. [PMID: 35475404 PMCID: PMC9087236 DOI: 10.1177/10732748221095952] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Prostate cancer disproportionately affects men of African descent and it is
estimated that Africa will bear the highest disease burden in the next decade.
Underlying genomic factors may contribute to prostate cancer disparities;
however, it is unclear whether Africa has prioritised genomics research toward
addressing these disparities. A Pubmed review was performed of publications
spanning a 15-year period, with specific focus on prostate cancer genomics
research that included samples from Africa and investigators in Africa. Data are
presented on research publications from Africa relative to similar publications
from different geographical regions, and more specifically, the extent of
disparities and the contributions to prostate cancer knowledge as a result of
genomics research that included African samples and African institutions.
Limited publication output may reflect the infrastructure and funding challenges
in Africa. Widespread cooperation should be fostered by sharing capacity and
leveraging existing expertise to address the growing cancer burden facing the
continent.
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Affiliation(s)
- Pedro W Fernandez
- Division of Urology, 26697Stellenbosch University, Cape Town, South Africa
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5
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El Jaddaoui I, Allali I, Sehli S, Ouldim K, Hamdi S, Al Idrissi N, Nejjari C, Amzazi S, Bakri Y, Ghazal H. Cancer Omics in Africa: Present and Prospects. Front Oncol 2020; 10:606428. [PMID: 33425763 PMCID: PMC7793679 DOI: 10.3389/fonc.2020.606428] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 11/11/2020] [Indexed: 12/15/2022] Open
Abstract
During the last century, cancer biology has been arguably one of the most investigated research fields. To gain deeper insight into cancer mechanisms, scientists have been attempting to integrate multi omics data in cancer research. Cancer genomics, transcriptomics, metabolomics, proteomics, and metagenomics are the main multi omics strategies used currently in the diagnosis, prognosis, treatment, and biomarker discovery in cancer. In this review, we describe the use of different multi omics strategies in cancer research in the African continent and discuss the main challenges facing the implementation of these approaches in African countries such as the lack of training programs in bioinformatics in general and omics strategies in particular and suggest paths to address deficiencies. As a way forward, we advocate for the establishment of an "African Cancer Genomics Consortium" to promote intracontinental collaborative projects and enhance engagement in research activities that address indigenous aspects for cancer precision medicine.
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Affiliation(s)
- Islam El Jaddaoui
- Laboratory of Human Pathologies Biology, Department of Biology, Faculty of Sciences, and Genomic Center of Human Pathologies, Faculty of Medicine and Pharmacy, University Mohammed V, Rabat, Morocco
| | - Imane Allali
- Laboratory of Human Pathologies Biology, Department of Biology, Faculty of Sciences, and Genomic Center of Human Pathologies, Faculty of Medicine and Pharmacy, University Mohammed V, Rabat, Morocco
| | - Sofia Sehli
- Department of Fundamental Sciences, School of Medicine, Mohammed VI University of Health Sciences, Casablanca, Morocco
| | | | - Salsabil Hamdi
- Environmental Health Laboratory, Pasteur Institute, Casablanca, Morocco
| | - Najib Al Idrissi
- Department of Surgery, School of Medicine, Mohammed VI University of Health Sciences, Casablanca, Morocco
| | - Chakib Nejjari
- Department of Medicine, School of Medicine, Mohammed VI University of Health Sciences, Casablanca, Morocco
| | - Saaïd Amzazi
- Laboratory of Human Pathologies Biology, Department of Biology, Faculty of Sciences, and Genomic Center of Human Pathologies, Faculty of Medicine and Pharmacy, University Mohammed V, Rabat, Morocco
| | - Youssef Bakri
- Laboratory of Human Pathologies Biology, Department of Biology, Faculty of Sciences, and Genomic Center of Human Pathologies, Faculty of Medicine and Pharmacy, University Mohammed V, Rabat, Morocco
| | - Hassan Ghazal
- Department of Fundamental Sciences, School of Medicine, Mohammed VI University of Health Sciences, Casablanca, Morocco
- National Center for Scientific and Technical Research, Rabat, Morocco
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6
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Adeola HA, Sabiu S, Adekiya TA, Aruleba RT, Aruwa CE, Oyinloye BE. Prospects of nanodentistry for the diagnosis and treatment of maxillofacial pathologies and cancers. Heliyon 2020; 6:e04890. [PMID: 32984600 PMCID: PMC7492852 DOI: 10.1016/j.heliyon.2020.e04890] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 07/31/2020] [Accepted: 09/07/2020] [Indexed: 02/07/2023] Open
Abstract
Despite the commendable milestones achieved in molecular maxillofacial pathology in the last decade, there remains a paucity of utilization of ancillary nanomolecular tools that complement the omics-based approaches. As the advent of omics science transforms our understanding of tumour biology from a phenomenological to a complex network (systems-oriented) paradigm, several ancillary tools have emerged to improve the scope of individualized medicine. Targeted nano drug delivery systems have significantly reduced toxicity of chemotherapeutic agents in a precise manner. Many conventional cancer therapies are limited in efficacy and this has led to the emergence of nanomedical innovations. Despite the success of nanomedicine, a major challenge that persists is tumour heterogeneity and biological complexity. A good understanding of the interaction between inorganic nanoparticles and the biological systems has led to the development of better tools for individualized medicine. Tools such as the composite organic-inorganic nanoparticles (COINs) and the quantum dots (QD) have significantly improved the identification and quantification of disease biomarkers, histopathological detection methods, as well as improving the clinical translation and utility of these nanomaterials. Nanomedicine has lent credence to several multipronged theranostic applications in medicine, and this has improved the medical practice tremendously. Despite the palpable influence of nanomedicine on the delivery of individualized medical therapies, the term "nanodentistry" remains in the background without much hype, albeit some progress has been made in this area. Hence, this review discusses the potential and challenges of nanodentistry in the diagnosis and treatment of maxillofacial pathologies, particularly cancer in resource-limited settings.
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Affiliation(s)
- Henry A. Adeola
- Department of Oral and Maxillofacial Pathology, Faculty of Dentistry, University of the Western Cape and Tygerberg Hospital, Cape Town South Africa
- Division of Dermatology, Department of Medicine, Faculty of Health Sciences and Groote Schuur Hospital, University of Cape Town, Cape Town South Africa
| | - Saheed Sabiu
- Department of Biotechnology and Food Technology, Durban University of Technology, Steve Biko Campus, Steve Biko Road, Berea, Durban 4001, South Africa
| | - Tayo A. Adekiya
- Wits Advanced Drug Delivery Platform Research Unit, Department of Pharmacy and Pharmacology, School of Therapeutic Science, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 7 York Road, Parktown, 2193, South Africa
| | - Raphael T. Aruleba
- Department of Molecular and Cell Biology, Faculty of Science, University of Cape Town, Cape Town 7701, South Africa
| | - Christiana E. Aruwa
- Department of Biotechnology and Food Technology, Durban University of Technology, Steve Biko Campus, Steve Biko Road, Berea, Durban 4001, South Africa
| | - Babatunji E. Oyinloye
- Phytomedicine, Biochemical Toxicology and Biotechnology Research Laboratories, Department of Biochemistry, Faculty of Sciences, Afe Babalola University, P.M.B 5454 Ado Ekiti 360001, Nigeria
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7
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McNally CJ, Ruddock MW, Moore T, McKenna DJ. Biomarkers That Differentiate Benign Prostatic Hyperplasia from Prostate Cancer: A Literature Review. Cancer Manag Res 2020; 12:5225-5241. [PMID: 32669872 PMCID: PMC7335899 DOI: 10.2147/cmar.s250829] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Accepted: 04/09/2020] [Indexed: 12/20/2022] Open
Abstract
Prediction of prostate cancer in primary care is typically based upon serum total prostate-specific antigen (tPSA) and digital rectal examination results. However, these tests lack sensitivity and specificity, leading to over-diagnosis of disease and unnecessary, invasive biopsies. Therefore, there is a clinical need for diagnostic tests that can differentiate between benign conditions and early-stage malignant disease in the prostate. In this review, we evaluate research papers published from 2009 to 2019 reporting biomarkers that identified or differentiated benign prostatic hyperplasia (BPH) from prostate cancer. Our review identifies hundreds of potential biomarkers in urine, serum, tissue, and semen proposed as useful targets for differentiating between prostate cancer and BPH patients. However, it is still not apparent which of these candidate biomarkers are most useful, and many will not progress beyond the discovery stage unless they are properly validated for clinical practice. We conclude that this validation will come through the use of multivariate panels which can assess the value of biomarker candidates in combination with clinical parameters as part of a risk prediction calculator. Implementation of such a model will help clinicians stratify patients with prostate cancer symptoms in primary care, with tangible benefits for both the patient and the health service.
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Affiliation(s)
- Christopher J McNally
- Randox Laboratories Ltd, Crumlin, Co. Antrim BT29 4QY, Northern Ireland.,Biomedical Sciences Research Institute, Ulster University, Coleraine BT52 1SA, Northern Ireland
| | - Mark W Ruddock
- Randox Laboratories Ltd, Crumlin, Co. Antrim BT29 4QY, Northern Ireland
| | - Tara Moore
- Biomedical Sciences Research Institute, Ulster University, Coleraine BT52 1SA, Northern Ireland
| | - Declan J McKenna
- Biomedical Sciences Research Institute, Ulster University, Coleraine BT52 1SA, Northern Ireland
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8
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Temilola DO, Wium M, Coulidiati TH, Adeola HA, Carbone GM, Catapano CV, Zerbini LF. The Prospect and Challenges to the Flow of Liquid Biopsy in Africa. Cells 2019; 8:E862. [PMID: 31404988 PMCID: PMC6721679 DOI: 10.3390/cells8080862] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 07/30/2019] [Accepted: 08/03/2019] [Indexed: 12/24/2022] Open
Abstract
Liquid biopsy technologies have the potential to transform cancer patient management as it offers non-invasive diagnosis and real-time monitoring of disease progression and treatment responses. The use of liquid biopsy for non-invasive cancer diagnosis can have pivotal importance for the African continent where access to medical infrastructures is limited, as it eliminates the need for surgical biopsies. To apply liquid biopsy technologies in the African setting, the influence of environmental and population genetic factors must be known. In this review, we discuss the use of circulating tumor cells, cell-free nucleic acids, extracellular vesicles, protein, and other biomolecules in liquid biopsy technology for cancer management with special focus on African studies. We discussed the prospect, barriers, and other aspects that pose challenges to the use of liquid biopsy in the African continent.
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Affiliation(s)
- Dada Oluwaseyi Temilola
- International Centre for Genetic Engineering and Biotechnology (ICGEB), Cape Town 7925, South Africa
- Integrative Biomedical Sciences Division, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa
| | - Martha Wium
- International Centre for Genetic Engineering and Biotechnology (ICGEB), Cape Town 7925, South Africa
| | - Tangbadioa Herve Coulidiati
- International Centre for Genetic Engineering and Biotechnology (ICGEB), Cape Town 7925, South Africa
- Training and Research unit in Sciences and Technology, University Norbert Zongo, P.O. Box 376, Koudougou 376, Burkina Faso
| | - Henry Ademola Adeola
- Division of Dermatology, Department of Medicine, Faculty of Health Sciences and Groote Schuur Hospital, University of Cape Town, Cape Town 7925, South Africa
| | - Giuseppina Maria Carbone
- Institute of Oncology Research, Università della Svizzera Italiana, Via Vincenzo Vela 6, CH-6500 Bellinzona, Switzerland
| | - Carlo Vittorio Catapano
- Institute of Oncology Research, Università della Svizzera Italiana, Via Vincenzo Vela 6, CH-6500 Bellinzona, Switzerland
| | - Luiz Fernando Zerbini
- International Centre for Genetic Engineering and Biotechnology (ICGEB), Cape Town 7925, South Africa.
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9
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Hao L, Thomas S, Greer T, Vezina CM, Bajpai S, Ashok A, De Marzo AM, Bieberich CJ, Li L, Ricke WA. Quantitative proteomic analysis of a genetically induced prostate inflammation mouse model via custom 4-plex DiLeu isobaric labeling. Am J Physiol Renal Physiol 2019; 316:F1236-F1243. [PMID: 30995113 PMCID: PMC6620594 DOI: 10.1152/ajprenal.00387.2018] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Revised: 04/08/2019] [Accepted: 04/09/2019] [Indexed: 02/06/2023] Open
Abstract
Inflammation is involved in many prostate pathologies including infection, benign prostatic hyperplasia, and prostate cancer. Preclinical models are critical to our understanding of disease mechanisms, yet few models are genetically tractable. Here, we present a comparative quantitative proteomic analysis of urine from mice with and without prostate-specific inflammation induced by conditional prostate epithelial IL-1β expression. Relative quantification and sample multiplexing was achieved using custom 4-plex N,N-dimethyl leucine (DiLeu) isobaric tags and nanoflow ultrahigh-performance liquid chromatography coupled to high-resolution tandem mass spectrometry. Each set of 4-plex DiLeu reagents allows four urine samples to be analyzed simultaneously, providing high-throughput and accurate quantification of urinary proteins. Proteins involved in the acute phase response, including haptoglobin, inter-α-trypsin inhibitor, and α1-antitrypsin 1-1, were differentially represented in the urine of mice with prostate inflammation. Mass spectrometry-based quantitative urinary proteomics represents a promising bioanalytical strategy for biomarker discovery and the elucidation of molecular mechanisms in urological research.
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Affiliation(s)
- Ling Hao
- School of Pharmacy, University of Wisconsin-Madison , Madison, Wisconsin
| | - Samuel Thomas
- Molecular and Environmental Toxicology Center, University of Wisconsin-Madison , Madison, Wisconsin
| | - Tyler Greer
- Department of Chemistry, University of Wisconsin-Madison , Madison, Wisconsin
| | - Chad M Vezina
- Molecular and Environmental Toxicology Center, University of Wisconsin-Madison , Madison, Wisconsin
- School of Veterinary Medicine, University of Wisconsin-Madison , Madison, Wisconsin
- George M. O'Brien Center of Research Excellence, University of Wisconsin-Madison , Madison, Wisconsin
| | - Sagar Bajpai
- Department of Biological Sciences, University of Maryland-Baltimore County , Baltimore, Maryland
| | - Arya Ashok
- Department of Biological Sciences, University of Maryland-Baltimore County , Baltimore, Maryland
| | - Angelo M De Marzo
- Department of Pathology, Johns Hopkins University School of Medicine , Baltimore, Maryland
| | - Charles J Bieberich
- Department of Biological Sciences, University of Maryland-Baltimore County , Baltimore, Maryland
- University of Maryland Marlene and Stewart Greenebaum Cancer Center , Baltimore, Maryland
| | - Lingjun Li
- School of Pharmacy, University of Wisconsin-Madison , Madison, Wisconsin
- Molecular and Environmental Toxicology Center, University of Wisconsin-Madison , Madison, Wisconsin
- Department of Chemistry, University of Wisconsin-Madison , Madison, Wisconsin
| | - William A Ricke
- School of Pharmacy, University of Wisconsin-Madison , Madison, Wisconsin
- Molecular and Environmental Toxicology Center, University of Wisconsin-Madison , Madison, Wisconsin
- George M. O'Brien Center of Research Excellence, University of Wisconsin-Madison , Madison, Wisconsin
- Department of Urology, University of Wisconsin-Madison , Madison, Wisconsin
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10
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Frantzi M, Latosinska A, Belczacka I, Mischak H. Urinary proteomic biomarkers in oncology: ready for implementation? Expert Rev Proteomics 2018; 16:49-63. [PMID: 30412678 DOI: 10.1080/14789450.2018.1547193] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Introduction: Biomarkers are expected to improve the management of cancer patients by enabling early detection and prediction of therapeutic response. Proteins reflect a molecular phenotype, have high potential as biomarkers, and also are key targets for intervention. Given the ease of collection and proximity to certain tumors, the urinary proteome is a rich source of biomarkers and several proteins have been already implemented. Areas covered: We examined the literature on urine proteins and proteome analysis in oncology from reports published during the last 5 years to generate an overview on the status of urine protein and peptide biomarkers, with emphasis on their actual clinical value. Expert commentary: A few studies report on biomarkers that are ready to be implemented in patient management, among others in bladder cancer and cholangiocarcinoma. These reports are based on multi-marker approaches. A high number of biomarkers, though, has been described in studies with low statistical power. In fact, several of them have been consistently reported across different studies. The latter should be the focus of attention and be tested in properly designed confirmatory and ultimately, prospective investigations. It is expected that multi-marker classifiers for a specific context-of-use, will be the preferred path toward clinical implementation.
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Affiliation(s)
- Maria Frantzi
- a Research and Development , Mosaiques Diagnostics GmbH , Hannover , Germany
| | | | - Iwona Belczacka
- a Research and Development , Mosaiques Diagnostics GmbH , Hannover , Germany
| | - Harald Mischak
- a Research and Development , Mosaiques Diagnostics GmbH , Hannover , Germany
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11
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Emerging proteomics biomarkers and prostate cancer burden in Africa. Oncotarget 2018; 8:37991-38007. [PMID: 28388542 PMCID: PMC5514967 DOI: 10.18632/oncotarget.16568] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Accepted: 02/27/2017] [Indexed: 12/25/2022] Open
Abstract
Various biomarkers have emerged via high throughput omics-based approaches for use in diagnosis, treatment, and monitoring of prostate cancer. Many of these have yet to be demonstrated as having value in routine clinical practice. Moreover, there is a dearth of information on validation of these emerging prostate biomarkers within African cohorts, despite the huge burden and aggressiveness of prostate cancer in men of African descent. This review focusses of the global landmark achievements in prostate cancer proteomics biomarker discovery and the potential for clinical implementation of these biomarkers in Africa. Biomarker validation processes at the preclinical, translational and clinical research level are discussed here, as are the challenges and prospects for the evaluation and use of novel proteomic prostate cancer biomarkers.
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12
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Intasqui P, Bertolla RP, Sadi MV. Prostate cancer proteomics: clinically useful protein biomarkers and future perspectives. Expert Rev Proteomics 2017; 15:65-79. [PMID: 29251021 DOI: 10.1080/14789450.2018.1417846] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
INTRODUCTION Although prostate cancer constitutes one of the most important, death-related diseases in the male population, there is still a need for identification of sensitive biomarkers that could precociously detect the disease and differentiate aggressive from indolent cancers, in order to decrease overtreatment. Proteomics research has improved understanding on mechanisms underlying tumorigenesis, cancer cells migration and invasion potential, and castration resistance. This review has focused on proteomic studies of prostate cancer published in the recent years, with a special emphasis on determination of biomarkers for cancer progression and diagnosis. Areas covered: Shotgun and targeted-proteomic studies of prostate cancer in different matrices are reviewed, i.e., prostate tissue, prostate cell lines, blood (serum and plasma), urine, seminal plasma, and exosomes. The most important biomarkers for cancer diagnosis and aggressiveness characterization are highlighted. Expert commentary: In general, results demonstrate alteration in cell cycle control, DNA repair, proteasomal degradation, and metabolic activity. However, these studies suffer from low reproducibility due to heterogeneity of the cancer itself, as well as to techniques utilized for protein identification/quantification. Downstream confirmatory studies in separate cohorts are warranted in order to demonstrate accuracy of these results.
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Affiliation(s)
- Paula Intasqui
- a Department of Surgery, Division of Urology, Human Reproduction Section , Universidade Federal de São Paulo (UNIFESP) - Sao Paulo Hospital , Sao Paulo , Brazil
| | - Ricardo P Bertolla
- a Department of Surgery, Division of Urology, Human Reproduction Section , Universidade Federal de São Paulo (UNIFESP) - Sao Paulo Hospital , Sao Paulo , Brazil
| | - Marcus Vinicius Sadi
- a Department of Surgery, Division of Urology, Human Reproduction Section , Universidade Federal de São Paulo (UNIFESP) - Sao Paulo Hospital , Sao Paulo , Brazil
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13
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Adeola HA, Smith M, Kaestner L, Blackburn JM, Zerbini LF. Novel potential serological prostate cancer biomarkers using CT100+ cancer antigen microarray platform in a multi-cultural South African cohort. Oncotarget 2017; 7:13945-64. [PMID: 26885621 PMCID: PMC4924690 DOI: 10.18632/oncotarget.7359] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/1969] [Accepted: 01/29/2016] [Indexed: 12/17/2022] Open
Abstract
There is a growing need for high throughput diagnostic tools for early diagnosis and treatment monitoring of prostate cancer (PCa) in Africa. The role of cancer-testis antigens (CTAs) in PCa in men of African descent is poorly researched. Hence, we aimed to elucidate the role of 123 Tumour Associated Antigens (TAAs) using antigen microarray platform in blood samples (N = 67) from a South African PCa, Benign prostatic hyperplasia (BPH) and disease control (DC) cohort. Linear (fold-over-cutoff) and differential expression quantitation of autoantibody signal intensities were performed. Molecular signatures of candidate PCa antigen biomarkers were identified and analyzed for ethnic group variation. Potential cancer diagnostic and immunotherapeutic inferences were drawn. We identified a total of 41 potential diagnostic/therapeutic antigen biomarkers for PCa. By linear quantitation, four antigens, GAGE1, ROPN1, SPANXA1 and PRKCZ were found to have higher autoantibody titres in PCa serum as compared with BPH where MAGEB1 and PRKCZ were highly expressed. Also, p53 S15A and p53 S46A were found highly expressed in the disease control group. Statistical analysis by differential expression revealed twenty-four antigens as upregulated in PCa samples, while 11 were downregulated in comparison to BPH and DC (FDR = 0.01). FGFR2, COL6A1and CALM1 were verifiable biomarkers of PCa analysis using urinary shotgun proteomics. Functional pathway annotation of identified biomarkers revealed similar enrichment both at genomic and proteomic level and ethnic variations were observed. Cancer antigen arrays are emerging useful in potential diagnostic and immunotherapeutic antigen biomarker discovery.
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Affiliation(s)
- Henry A Adeola
- International Centre for Genetic Engineering and Biotechnology, Cape Town, South Africa.,Faculty of Health Sciences, Division of Medical Biochemistry, Institute of Infectious Diseases & Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Muneerah Smith
- Faculty of Health Sciences, Division of Medical Biochemistry, Institute of Infectious Diseases & Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Lisa Kaestner
- Urology Department, Grootes Schuur Hospital, Cape Town, South Africa
| | - Jonathan M Blackburn
- Faculty of Health Sciences, Division of Medical Biochemistry, Institute of Infectious Diseases & Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Luiz F Zerbini
- International Centre for Genetic Engineering and Biotechnology, Cape Town, South Africa.,Faculty of Health Sciences, Division of Medical Biochemistry, Institute of Infectious Diseases & Molecular Medicine, University of Cape Town, Cape Town, South Africa
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14
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Onile OS, Calder B, Soares NC, Anumudu CI, Blackburn JM. Quantitative label-free proteomic analysis of human urine to identify novel candidate protein biomarkers for schistosomiasis. PLoS Negl Trop Dis 2017; 11:e0006045. [PMID: 29117212 PMCID: PMC5695849 DOI: 10.1371/journal.pntd.0006045] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Revised: 11/20/2017] [Accepted: 10/17/2017] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Schistosomiasis is a chronic neglected tropical disease that is characterized by continued inflammatory challenges to the exposed population and it has been established as a possible risk factor in the aetiology of bladder cancer. Improved diagnosis of schistosomiasis and its associated pathology is possible through mass spectrometry to identify biomarkers among the infected population, which will influence early detection of the disease and its subtle morbidity. METHODOLOGY A high-throughput proteomic approach was used to analyse human urine samples for 49 volunteers from Eggua, a schistosomiasis endemic community in South-West, Nigeria. The individuals were previously screened for Schistosoma haematobium and structural bladder pathologies via microscopy and ultrasonography respectively. Samples were categorised into schistosomiasis, schistosomiasis with bladder pathology, bladder pathology, and a normal healthy control group. These samples were analysed to identify potential protein biomarkers. RESULTS A total of 1306 proteins and 9701 unique peptides were observed in this study (FDR = 0.01). Fifty-four human proteins were found to be potential biomarkers for schistosomiasis and bladder pathologies due to schistosomiasis by label-free quantitative comparison between groups. Thirty-six (36) parasite-derived potential biomarkers were also identified, which include some existing putative schistosomiasis biomarkers that have been previously reported. Some of these proteins include Elongation factor 1 alpha, phosphopyruvate hydratase, histone H4 and heat shock proteins (HSP 60, HSP 70). CONCLUSION These findings provide an in-depth analysis of potential schistosoma and human host protein biomarkers for diagnosis of chronic schistosomiasis caused by Schistosoma haematobium and its pathogenesis.
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Affiliation(s)
- Olugbenga Samson Onile
- Biotechnology Programme, Department of Biological Sciences, Elizade University, Ilara-Mokin, Nigeria
| | - Bridget Calder
- Division of Chemical & Systems Biology, Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa
| | - Nelson C. Soares
- Division of Chemical & Systems Biology, Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa
| | - Chiaka I. Anumudu
- Cellular Parasitology Programme, Department of Zoology, University of Ibadan, Ibadan, Nigeria
| | - Jonathan M. Blackburn
- Division of Chemical & Systems Biology, Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa
- Institute of Infectious Disease & Molecular Medicine, University of Cape Town, Cape Town, South Africa
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15
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Wu D, Ni J, Beretov J, Cozzi P, Willcox M, Wasinger V, Walsh B, Graham P, Li Y. Urinary biomarkers in prostate cancer detection and monitoring progression. Crit Rev Oncol Hematol 2017; 118:15-26. [DOI: 10.1016/j.critrevonc.2017.08.002] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Revised: 08/08/2017] [Accepted: 08/11/2017] [Indexed: 12/21/2022] Open
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16
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Souza GHMF, Guest PC, Martins-de-Souza D. LC-MS E, Multiplex MS/MS, Ion Mobility, and Label-Free Quantitation in Clinical Proteomics. Methods Mol Biol 2017; 1546:57-73. [PMID: 27896757 DOI: 10.1007/978-1-4939-6730-8_4] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Proteomic tools can only be implemented in clinical settings if high-throughput, automated, sensitive, and accurate methods are developed. This has driven researchers to the edge of mass spectrometry (MS)-based proteomics capacity. Here we provide an overview of recent achievements in mass spectrometric technologies and instruments. This includes development of high and ultra definition-MSE (HDMSE and UDMSE) through implementation of ion mobility (IM) MS towards sensitive and accurate label-free proteomics using ultra performance liquid chromatography (UPLC). Label free UPLC-HDMSE is less expensive than labeled-based quantitative proteomics and has no limits regarding the number of samples that can be analyzed and compared, which is an important requirement for supporting clinical applications.
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Affiliation(s)
- Gustavo Henrique Martins Ferreira Souza
- Mass Spectrometry Applications & Development Laboratory, Waters Corporation, 125, Alphaville Industrial, Barueri, 06455-020, Campinas, São Paulo, SP, Brazil.
| | - Paul C Guest
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Daniel Martins-de-Souza
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, SP, Brazil
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17
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Thomas S, Hao L, Ricke WA, Li L. Biomarker discovery in mass spectrometry-based urinary proteomics. Proteomics Clin Appl 2016; 10:358-70. [PMID: 26703953 DOI: 10.1002/prca.201500102] [Citation(s) in RCA: 101] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2015] [Revised: 12/05/2015] [Accepted: 12/21/2015] [Indexed: 01/03/2023]
Abstract
Urinary proteomics has become one of the most attractive topics in disease biomarker discovery. MS-based proteomic analysis has advanced continuously and emerged as a prominent tool in the field of clinical bioanalysis. However, only few protein biomarkers have made their way to validation and clinical practice. Biomarker discovery is challenged by many clinical and analytical factors including, but not limited to, the complexity of urine and the wide dynamic range of endogenous proteins in the sample. This article highlights promising technologies and strategies in the MS-based biomarker discovery process, including study design, sample preparation, protein quantification, instrumental platforms, and bioinformatics. Different proteomics approaches are discussed, and progresses in maximizing urinary proteome coverage and standardization are emphasized in this review. MS-based urinary proteomics has great potential in the development of noninvasive diagnostic assays in the future, which will require collaborative efforts between analytical scientists, systems biologists, and clinicians.
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Affiliation(s)
- Samuel Thomas
- Molecular and Environmental Toxicology Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Ling Hao
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA
| | - William A Ricke
- Molecular and Environmental Toxicology Center, University of Wisconsin-Madison, Madison, WI, USA.,Department of Urology, University of Wisconsin-Madison, Madison, WI, USA
| | - Lingjun Li
- Molecular and Environmental Toxicology Center, University of Wisconsin-Madison, Madison, WI, USA.,School of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA.,Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
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18
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Adeola HA, Calder B, Soares NC, Kaestner L, Blackburn JM, Zerbini LF. In silico verification and parallel reaction monitoring prevalidation of potential prostate cancer biomarkers. Future Oncol 2015; 12:43-57. [PMID: 26615920 DOI: 10.2217/fon.15.296] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
PURPOSE Targeted proteomics of potential biomarkers is often challenging. Hence, we developed an intermediate workflow to streamline potential urinary biomarkers of prostate cancer (PCa). MATERIALS & METHODS Using previously discovered potential PCa biomarkers; we selected proteotypic peptides for targeted validation. Preliminary in silico immunohistochemical and single reaction monitoring (SRM) verification was performed. Successful PTPs were then prevalidated using parallel reaction monitoring (PRM) and reconfirmed in 15 publicly available databases. RESULTS Stringency-based targetable potential biomarkers were shortlisted following in silico screening. PRM reveals top 12 potential biomarkers including the top ranking seven in silico verification-based biomarkers. Database reconfirmation showed differential expression between PCa and benign/normal prostatic urine samples. CONCLUSION The pragmatic penultimate screening step, described herein, would immensely improve targeted proteomics validation of potential disease biomarkers.
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Affiliation(s)
- Henry A Adeola
- International Centre for Genetic Engineering & Biotechnology, Cape Town, South Africa.,Institute of Infectious Diseases & Molecular Medicine, Faculty of Health Sciences, University of Cape Town, South Africa
| | - Bridget Calder
- Institute of Infectious Diseases & Molecular Medicine, Faculty of Health Sciences, University of Cape Town, South Africa
| | - Nelson C Soares
- Institute of Infectious Diseases & Molecular Medicine, Faculty of Health Sciences, University of Cape Town, South Africa
| | - Lisa Kaestner
- Urology Department, Grootes Schuur Hospital, Cape Town, South Africa
| | - Jonathan M Blackburn
- Institute of Infectious Diseases & Molecular Medicine, Faculty of Health Sciences, University of Cape Town, South Africa
| | - Luiz F Zerbini
- International Centre for Genetic Engineering & Biotechnology, Cape Town, South Africa.,Institute of Infectious Diseases & Molecular Medicine, Faculty of Health Sciences, University of Cape Town, South Africa
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19
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Muntel J, Xuan Y, Berger ST, Reiter L, Bachur R, Kentsis A, Steen H. Advancing Urinary Protein Biomarker Discovery by Data-Independent Acquisition on a Quadrupole-Orbitrap Mass Spectrometer. J Proteome Res 2015; 14:4752-62. [PMID: 26423119 PMCID: PMC4993212 DOI: 10.1021/acs.jproteome.5b00826] [Citation(s) in RCA: 91] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
The promises of data-independent acquisition (DIA) strategies are a comprehensive and reproducible digital qualitative and quantitative record of the proteins present in a sample. We developed a fast and robust DIA method for comprehensive mapping of the urinary proteome that enables large scale urine proteomics studies. Compared to a data-dependent acquisition (DDA) experiments, our DIA assay doubled the number of identified peptides and proteins per sample at half the coefficients of variation observed for DDA data (DIA = ∼8%; DDA = ∼16%). We also tested different spectral libraries and their effects on overall protein and peptide identifications and their reproducibilities, which provided clear evidence that sample type-specific spectral libraries are preferred for reliable data analysis. To show applicability for biomarker discovery experiments, we analyzed a sample set of 87 urine samples from children seen in the emergency department with abdominal pain. The whole set was analyzed with high proteome coverage (∼1300 proteins/sample) in less than 4 days. The data set revealed excellent biomarker candidates for ovarian cyst and urinary tract infection. The improved throughput and quantitative performance of our optimized DIA workflow allow for the efficient simultaneous discovery and verification of biomarker candidates without the requirement for an early bias toward selected proteins.
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Affiliation(s)
- Jan Muntel
- Departments of Pathology, Boston Children’s Hospital and Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Yue Xuan
- Thermo Fisher Scientific, 28199 Bremen, Germany
| | - Sebastian T. Berger
- Departments of Pathology, Boston Children’s Hospital and Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Lukas Reiter
- Biognosys AG, Wagistrasse 25, CH-8952 Schlieren, Switzerland
| | - Richard Bachur
- Division of Emergency Medicine, Boston Children’s Hospital, Boston, Massachusetts 02115, United States
| | - Alex Kentsis
- Molecular Pharmacology & Chemistry Program, Sloan Kettering Institute, Department of Pediatrics, Memorial Sloan Kettering Cancer Center and Weill Medical College of Cornell University, New York, New York 10065, United States
| | - Hanno Steen
- Departments of Pathology, Boston Children’s Hospital and Harvard Medical School, Boston, Massachusetts 02115, United States
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