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Feng Y, Huo Q, Li BY, Yokota H. Unveiling the Dichotomy of Urinary Proteins: Diagnostic Insights into Breast and Prostate Cancer and Their Roles. Proteomes 2023; 12:1. [PMID: 38250812 PMCID: PMC10801584 DOI: 10.3390/proteomes12010001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 12/21/2023] [Accepted: 12/22/2023] [Indexed: 01/23/2024] Open
Abstract
This review covers the diagnostic potential of urinary biomarkers, shedding light on their linkage to cancer progression. Urinary biomarkers offer non-invasive avenues for detecting cancers, potentially bypassing the invasiveness of biopsies. The investigation focuses primarily on breast and prostate cancers due to their prevalence among women and men, respectively. The intricate interplay of urinary proteins is explored, revealing a landscape where proteins exhibit context-dependent behaviors. The review highlights the potential impact of physical activity on urinary proteins, suggesting its influence on tumorigenic behaviors. Exercise-conditioned urine may emerge as a potential diagnostic biomarker source. Furthermore, treatment effects, notably after lumpectomy and prostatectomy, induce shifts in the urinary proteome, indicating therapeutic impacts rather than activating oncogenic signaling. The review suggests further investigations into the double-sided, context-dependent nature of urinary proteins, the potential role of post-translational modifications (PTM), and the integration of non-protein markers like mRNA and metabolites. It also discusses a linkage of urinary proteomes with secretomes from induced tumor-suppressing cells (iTSCs). Despite challenges like cancer heterogeneity and sample variability due to age, diet, and comorbidities, harnessing urinary proteins and proteoforms may hold promise for advancing our understanding of cancer progressions, as well as the diagnostic and therapeutic role of urinary proteins.
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Affiliation(s)
- Yan Feng
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310022, China;
| | - Qingji Huo
- Department of Pharmacology, College of Pharmacy, Harbin Medical University, Harbin 150081, China;
- Department of Biomedical Engineering, Indiana University Purdue University Indianapolis, Indianapolis, IN 46202, USA
| | - Bai-Yan Li
- Department of Pharmacology, College of Pharmacy, Harbin Medical University, Harbin 150081, China;
| | - Hiroki Yokota
- Department of Biomedical Engineering, Indiana University Purdue University Indianapolis, Indianapolis, IN 46202, USA
- Indiana Center for Musculoskeletal Health, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Indiana University Simon Comprehensive Cancer Center, Indianapolis, IN 46202, USA
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Roslan A, Sulaiman N, Mohd Ghani KA, Nurdin A. Cancer-Associated Membrane Protein as Targeted Therapy for Bladder Cancer. Pharmaceutics 2022; 14:pharmaceutics14102218. [PMID: 36297654 PMCID: PMC9607037 DOI: 10.3390/pharmaceutics14102218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/23/2022] [Accepted: 10/11/2022] [Indexed: 12/24/2022] Open
Abstract
Bladder cancer (BC) recurrence is one of the primary clinical problems encountered by patients following chemotherapy. However, the mechanisms underlying their resistance to chemotherapy remain unclear. Alteration in the pattern of membrane proteins (MPs) is thought to be associated with this recurrence outcome, often leading to cell dysfunction. Since MPs are found throughout the cell membrane, they have become the focus of attention for cancer diagnosis and treatment. Identifying specific and sensitive biomarkers for BC, therefore, requires a major collaborative effort. This review describes studies on membrane proteins as potential biomarkers to facilitate personalised medicine. It aims to introduce and discuss the types and significant functions of membrane proteins as potential biomarkers for future medicine. Other types of biomarkers such as DNA-, RNA- or metabolite-based biomarkers are not included in this review, but the focus is mainly on cell membrane surface protein-based biomarkers.
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Affiliation(s)
- Adlina Roslan
- Laboratory of UPM-MAKNA Cancer Research (CANRES), Institute of Bioscience, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
| | - Nurshahira Sulaiman
- Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
| | - Khairul Asri Mohd Ghani
- Department of Urology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
| | - Armania Nurdin
- Laboratory of UPM-MAKNA Cancer Research (CANRES), Institute of Bioscience, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
- Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
- Correspondence: ; Tel.: +603-8609-2971
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Jiang J, Zhao J, Wang Y, Liu D, Zhang M. Urine inter‐alpha‐trypsin inhibitor family‐related proteins may serve as biomarkers for disease activity of lupus. J Clin Lab Anal 2022; 36:e24622. [PMID: 35870194 PMCID: PMC9459346 DOI: 10.1002/jcla.24622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 06/22/2022] [Accepted: 07/08/2022] [Indexed: 11/30/2022] Open
Abstract
Background Systemic lupus erythematosus (SLE) is a chronic inflammatory disease involving multiple tissues. Inter‐Alpha‐Trypsin Inhibitor (ITI) family proteins have a role in maintaining tissue homeostasis, but their possible clinical significance in the SLE patients has not been reported. The aim of this study was to analyze and verify the expression of ITI‐related proteins in the urine of SLE patients, further explore the features of these proteins in disease activity. Methods Based on label‐free proteomics technology and bioinformatics technology, we analyzed the expression of ITI family‐related proteins in the urine of lupus. Subsequently, Western‐blot and targeted proteomics were used to qualitatively and quantitatively verify the expression of these proteins, respectively. Results A total of seven ITI family‐related proteins were screened and identified; and six of these proteins were differentially expressed in the urine of SLE patients. Further quantitative analysis showed that the expressions of ITIH2, ECM1, and ITIH5 in urine between active SLE group and stable SLE group were consistent with the preliminary screening results. The expression of ITIH2 and ECM1 in the renal damage group were also consistent with the screening results. Moreover, ITIH2 and ECM1 have a good correlation with disease activity and have a certain correlation with renal damage. Conclusions In this exploratory study, we evaluated the expression of ITI family‐related proteins in the urine of SLE and found that urine ITIH2 and ECM1 were closely related to SLE activity, especially kidney damage, providing an experimental basis for further exploration of the potential roles in monitoring lupus and lupus nephritis activity.
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Affiliation(s)
- Jun Jiang
- Clinical Laboratory Medicine Peking University Ninth School of Clinical Medicine Beijing China
| | - Jin Zhao
- Clinical Laboratory Medicine, Beijing Shijitan Hospital Capital Medical University Beijing China
| | - Yuhua Wang
- Department of Rheumatology and Clinical Immunology, Beijing Shijitan Hospital Capital Medical University Beijing China
| | - Dan Liu
- Clinical Laboratory Medicine Peking University Ninth School of Clinical Medicine Beijing China
| | - Man Zhang
- Clinical Laboratory Medicine Peking University Ninth School of Clinical Medicine Beijing China
- Clinical Laboratory Medicine, Beijing Shijitan Hospital Capital Medical University Beijing China
- Beijing Key Laboratory of Urinary Cellular Molecular Diagnostics Beijing China
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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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Chen Z, Ge M. Discovering pathways in benign prostate hyperplasia: A functional genomics pilot study. Exp Ther Med 2021; 21:242. [PMID: 33603850 PMCID: PMC7851599 DOI: 10.3892/etm.2021.9673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 10/13/2020] [Indexed: 11/06/2022] Open
Abstract
Benign prostate hyperplasia (BPH) is one of the well-known urological neoplasms common in males with an increasing number of associated deaths in aging males. It causes uncomfortable urinary symptoms, including urine flow blockage, and may cause bladder, urinary tract or kidney problems. The histopathological and clinical knowledge regarding BPH is limited. In the present study, an in silico approach was applied that uses genome-scale microarray expression data to discover a wide range of protein-protein interactions in addition to focusing on specific genes responsible for BPH to develop prognostic biomarkers. Various genes that were differentially expressed in BPH were identified. Gene and functional annotation clusters were determined and an interaction analysis with disease phenotypes of BPH was performed, as well as an RNA tissue specificity analysis. Furthermore, a molecular docking study of certain short-listed gene biomarkers, namely anterior gradient 2 (AGR2; PDB ID: 2LNT), steroid 5α-reductase 2 (PDB ID: 6OQX), zinc finger protein 3 (PDB ID: 5T00) and collagen type XII α1 chain (PDB ID: 1U5M), was performed in order to identify alternative Chinese herbal agents for the treatment of BPH. Data from the present study revealed that AGR2 receptor (PDB ID: 2LNT) and berberine (Huang Bo) form the most stable complex and therefore may be assessed in further pharmacological studies for the treatment of BPH.
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Affiliation(s)
- Zheling Chen
- Department of Traditional Chinese Medicine, Zhenxin Community Health Service Center, Shanghai 201824, P.R. China
| | - Minyao Ge
- Department of Urology Surgery, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, P.R. China
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Tonry C, Finn S, Armstrong J, Pennington SR. Clinical proteomics for prostate cancer: understanding prostate cancer pathology and protein biomarkers for improved disease management. Clin Proteomics 2020; 17:41. [PMID: 33292167 PMCID: PMC7678104 DOI: 10.1186/s12014-020-09305-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 11/11/2020] [Indexed: 12/12/2022] Open
Abstract
Following the introduction of routine Prostate Specific Antigen (PSA) screening in the early 1990's, Prostate Cancer (PCa) is often detected at an early stage. There are also a growing number of treatment options available and so the associated mortality rate is generally low. However, PCa is an extremely complex and heterogenous disease and many patients suffer disease recurrence following initial therapy. Disease recurrence commonly results in metastasis and metastatic PCa has an average survival rate of just 3-5 years. A significant problem in the clinical management of PCa is being able to differentiate between patients who will respond to standard therapies and those who may benefit from more aggressive intervention at an earlier stage. It is also acknowledged that for many men the disease is not life threatenting. Hence, there is a growing desire to identify patients who can be spared the significant side effects associated with PCa treatment until such time (if ever) their disease progresses to the point where treatment is required. To these important clinical needs, current biomarkers and clinical methods for patient stratification and personlised treatment are insufficient. This review provides a comprehensive overview of the complexities of PCa pathology and disease management. In this context it is possible to review current biomarkers and proteomic technologies that will support development of biomarker-driven decision tools to meet current important clinical needs. With such an in-depth understanding of disease pathology, the development of novel clinical biomarkers can proceed in an efficient and effective manner, such that they have a better chance of improving patient outcomes.
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Affiliation(s)
- Claire Tonry
- UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Stephen Finn
- Department of Histopathology and Morbid Anatomy, Trinity Translational Medicine Institute, Trinity College Dublin, Dublin 8, Ireland
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Meleady P, Abdul Rahman R, Henry M, Moriarty M, Clynes M. Proteomic analysis of pancreatic ductal adenocarcinoma. Expert Rev Proteomics 2020; 17:453-467. [PMID: 32755290 DOI: 10.1080/14789450.2020.1803743] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Pancreatic ductal adenocarcinoma (PDAC), which represents approximately 80% of all pancreatic cancers, is a highly aggressive malignant disease and one of the most lethal among all cancers. Overall, the 5-year survival rate among all pancreatic cancer patients is less than 9%; these rates have shown little change over the past 30 years. A more comprehensive understanding of the molecular mechanisms underlying this complex disease is crucial to the development of new diagnostic tools for early detection and disease monitoring, as well as to identify new and more effective therapeutics to improve patient outcomes. AREA COVERED We summarize recent advances in proteomic strategies and mass spectrometry to identify new biomarkers for early detection and monitoring of disease progression, predict response to therapy, and to identify novel proteins that have the potential to be 'druggable' therapeutic targets. An overview of proteomic studies that have been conducted to further our mechanistic understanding of metastasis and chemotherapy resistance in PDAC disease progression will also be discussed. EXPERT COMMENTARY The results from these PDAC proteomic studies on a variety of PDAC sample types (e.g., blood, tissue, cell lines, exosomes, etc.) provide great promise of having a significant clinical impact and improving patient outcomes.
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Affiliation(s)
- Paula Meleady
- National Institute for Cellular Biotechnology, Dublin City University , Dublin, Ireland
| | - Rozana Abdul Rahman
- St. Vincent's University Hospital , Dublin, Ireland.,St. Luke's Hospital , Dublin, Ireland
| | - Michael Henry
- National Institute for Cellular Biotechnology, Dublin City University , Dublin, Ireland
| | - Michael Moriarty
- National Institute for Cellular Biotechnology, Dublin City University , Dublin, Ireland.,St. Luke's Hospital , Dublin, Ireland
| | - Martin Clynes
- National Institute for Cellular Biotechnology, Dublin City University , Dublin, Ireland
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Malik A, Srinivasan S, Batra J. A New Era of Prostate Cancer Precision Medicine. Front Oncol 2019; 9:1263. [PMID: 31850193 PMCID: PMC6901987 DOI: 10.3389/fonc.2019.01263] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 10/31/2019] [Indexed: 12/24/2022] Open
Abstract
Prostate cancer is the second most common male cancer affecting Western society. Despite substantial advances in the exploration of prostate cancer biomarkers and treatment strategies, men are over diagnosed with inert prostate cancer, while there is also a substantial mortality from the invasive disease. Precision medicine is the management of treatment profiles across different cancers predicting therapies for individual cancer patients. With strategies including individual genomic profiling and targeting specific cancer pathways, precision medicine for prostate cancer has the potential to impose changes in clinical practices. Some of the recent advances in prostate cancer precision medicine comprise targeting gene fusions, genome editing tools, non-coding RNA biomarkers, and the promise of liquid tumor profiling. In this review, we will discuss these recent scientific advances to scale up these approaches and endeavors to overcome clinical barriers for prostate cancer precision medicine.
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Affiliation(s)
- Adil Malik
- School of Biomedical Sciences, Queensland University of Technology, Institute of Health and Biomedical Innovation, Brisbane, QLD, Australia
- Australian Prostate Cancer Research Centre–Queensland, Translational Research Institute, Woolloongabba, QLD, Australia
| | - Srilakshmi Srinivasan
- School of Biomedical Sciences, Queensland University of Technology, Institute of Health and Biomedical Innovation, Brisbane, QLD, Australia
- Australian Prostate Cancer Research Centre–Queensland, Translational Research Institute, Woolloongabba, QLD, Australia
| | - Jyotsna Batra
- School of Biomedical Sciences, Queensland University of Technology, Institute of Health and Biomedical Innovation, Brisbane, QLD, Australia
- Australian Prostate Cancer Research Centre–Queensland, Translational Research Institute, Woolloongabba, QLD, Australia
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9
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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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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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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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12
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Faria SS, Morris CFM, Silva AR, Fonseca MP, Forget P, Castro MS, Fontes W. A Timely Shift from Shotgun to Targeted Proteomics and How It Can Be Groundbreaking for Cancer Research. Front Oncol 2017; 7:13. [PMID: 28265552 PMCID: PMC5316539 DOI: 10.3389/fonc.2017.00013] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Accepted: 01/17/2017] [Indexed: 01/10/2023] Open
Abstract
The fact that cancer is a leading cause of death all around the world has naturally sparked major efforts in the pursuit of novel and more efficient biomarkers that could better serve as diagnostic tools, prognostic predictors, or therapeutical targets in the battle against this type of disease. Mass spectrometry-based proteomics has proven itself as a robust and logical alternative to the immuno-based methods that once dominated the field. Nevertheless, intrinsic limitations of classic proteomic approaches such as the natural gap between shotgun discovery-based methods and clinically applicable results have called for the implementation of more direct, hypothesis-based studies such as those made available through targeted approaches, that might be able to streamline biomarker discovery and validation as a means to increase survivability of affected patients. In fact, the paradigm shifting potential of modern targeted proteomics applied to cancer research can be demonstrated by the large number of advancements and increasing examples of new and more useful biomarkers found during the course of this review in different aspects of cancer research. Out of the many studies dedicated to cancer biomarker discovery, we were able to devise some clear trends, such as the fact that breast cancer is the most common type of tumor studied and that most of the research for any given type of cancer is focused on the discovery diagnostic biomarkers, with the exception of those that rely on samples other than plasma and serum, which are generally aimed toward prognostic markers. Interestingly, the most common type of targeted approach is based on stable isotope dilution-selected reaction monitoring protocols for quantification of the target molecules. Overall, this reinforces that notion that targeted proteomics has already started to fulfill its role as a groundbreaking strategy that may enable researchers to catapult the number of viable, effective, and validated biomarkers in cancer clinical practice.
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Affiliation(s)
- Sara S Faria
- Mastology Program, Federal University of Uberlandia (UFU) , Uberlandia , Brazil
| | - Carlos F M Morris
- Laboratory of Biochemistry and Protein Chemistry, Department of Cell Biology, Institute of Biology, University of Brasilia , Brasília , Brazil
| | - Adriano R Silva
- Laboratory of Biochemistry and Protein Chemistry, Department of Cell Biology, Institute of Biology, University of Brasilia , Brasília , Brazil
| | - Micaella P Fonseca
- Laboratory of Biochemistry and Protein Chemistry, Department of Cell Biology, Institute of Biology, University of Brasilia, Brasília, Brazil; Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Patrice Forget
- Department of Anesthesiology and Perioperative Medicine, Universitair Ziekenhuis Brussel, Vrije Universiteit of Brussel , Brussels , Belgium
| | - Mariana S Castro
- Laboratory of Biochemistry and Protein Chemistry, Department of Cell Biology, Institute of Biology, University of Brasilia , Brasília , Brazil
| | - Wagner Fontes
- Laboratory of Biochemistry and Protein Chemistry, Department of Cell Biology, Institute of Biology, University of Brasilia , Brasília , Brazil
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