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Ren S, Li J, Dorado J, Sierra A, González-Díaz H, Duardo A, Shen B. From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine. Health Inf Sci Syst 2024; 12:6. [PMID: 38125666 PMCID: PMC10728428 DOI: 10.1007/s13755-023-00264-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/28/2023] [Indexed: 12/23/2023] Open
Abstract
Prostate cancer is the most common cancer in men worldwide and has a high mortality rate. The complex and heterogeneous development of prostate cancer has become a core obstacle in the treatment of prostate cancer. Simultaneously, the issues of overtreatment in early-stage diagnosis, oligometastasis and dormant tumor recognition, as well as personalized drug utilization, are also specific concerns that require attention in the clinical management of prostate cancer. Some typical genetic mutations have been proved to be associated with prostate cancer's initiation and progression. However, single-omic studies usually are not able to explain the causal relationship between molecular alterations and clinical phenotypes. Exploration from a systems genetics perspective is also lacking in this field, that is, the impact of gene network, the environmental factors, and even lifestyle behaviors on disease progression. At the meantime, current trend emphasizes the utilization of artificial intelligence (AI) and machine learning techniques to process extensive multidimensional data, including multi-omics. These technologies unveil the potential patterns, correlations, and insights related to diseases, thereby aiding the interpretable clinical decision making and applications, namely intelligent medicine. Therefore, there is a pressing need to integrate multidimensional data for identification of molecular subtypes, prediction of cancer progression and aggressiveness, along with perosonalized treatment performing. In this review, we systematically elaborated the landscape from molecular mechanism discovery of prostate cancer to clinical translational applications. We discussed the molecular profiles and clinical manifestations of prostate cancer heterogeneity, the identification of different states of prostate cancer, as well as corresponding precision medicine practices. Taking multi-omics fusion, systems genetics, and intelligence medicine as the main perspectives, the current research results and knowledge-driven research path of prostate cancer were summarized.
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Affiliation(s)
- Shumin Ren
- Department of Urology and Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, 610041 China
- Department of Computer Science and Information Technology, University of A Coruña, 15071 A Coruña, Spain
| | - Jiakun Li
- Department of Urology and Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Julián Dorado
- Department of Computer Science and Information Technology, University of A Coruña, 15071 A Coruña, Spain
| | - Alejandro Sierra
- Department of Computer Science and Information Technology, University of A Coruña, 15071 A Coruña, Spain
- IKERDATA S.L., ZITEK, University of Basque Country UPVEHU, Rectorate Building, 48940 Leioa, Spain
| | - Humbert González-Díaz
- Department of Computer Science and Information Technology, University of A Coruña, 15071 A Coruña, Spain
- IKERDATA S.L., ZITEK, University of Basque Country UPVEHU, Rectorate Building, 48940 Leioa, Spain
| | - Aliuska Duardo
- Department of Computer Science and Information Technology, University of A Coruña, 15071 A Coruña, Spain
- IKERDATA S.L., ZITEK, University of Basque Country UPVEHU, Rectorate Building, 48940 Leioa, Spain
| | - Bairong Shen
- Department of Urology and Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, 610041 China
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2
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Lawrence SR, Shah KM. Prospects and Current Challenges of Extracellular Vesicle-Based Biomarkers in Cancer. BIOLOGY 2024; 13:694. [PMID: 39336121 DOI: 10.3390/biology13090694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Revised: 08/31/2024] [Accepted: 09/02/2024] [Indexed: 09/30/2024]
Abstract
Cancer continues to impose a substantial global health burden, particularly among the elderly, where the ongoing global demographic shift towards an ageing population underscores the growing need for early cancer detection. This is essential for enabling personalised cancer care and optimised treatment throughout the disease course to effectively mitigate the increasing societal impact of cancer. Liquid biopsy has emerged as a promising strategy for cancer diagnosis and treatment monitoring, offering a minimally invasive method for the isolation and molecular profiling of circulating tumour-derived components. The expansion of the liquid biopsy approach to include the detection of tumour-derived extracellular vesicles (tdEVs) holds significant therapeutic opportunity. Evidence suggests that tdEVs carry cargo reflecting the contents of their cell-of-origin and are abundant within the blood, exhibiting superior stability compared to non-encapsulated tumour-derived material, such as circulating tumour nucleic acids and proteins. However, despite theoretical promise, several obstacles hinder the translation of extracellular vesicle-based cancer biomarkers into clinical practice. This critical review assesses the current prospects and challenges facing the adoption of tdEV biomarkers in clinical practice, offering insights into future directions and proposing strategies to overcome translational barriers. By addressing these issues, EV-based liquid biopsy approaches could revolutionise cancer diagnostics and management.
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Affiliation(s)
- Samuel R Lawrence
- Division of Clinical Medicine, School of Medicine & Population Health, The University of Sheffield, Beech Hill Road, Sheffield S10 2RX, UK
| | - Karan M Shah
- Division of Clinical Medicine, School of Medicine & Population Health, The University of Sheffield, Beech Hill Road, Sheffield S10 2RX, UK
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3
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Johnson JR, Mavingire N, Woods-Burnham L, Walker M, Lewis D, Hooker SE, Galloway D, Rivers B, Kittles RA. The complex interplay of modifiable risk factors affecting prostate cancer disparities in African American men. Nat Rev Urol 2024; 21:422-432. [PMID: 38307952 DOI: 10.1038/s41585-023-00849-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/20/2023] [Indexed: 02/04/2024]
Abstract
Prostate cancer is the second most commonly diagnosed non-skin malignancy and the second leading cause of cancer death among men in the USA. However, the mortality rate of African American men aged 40-60 years is almost 2.5-fold greater than that of European American men. Despite screening and diagnostic and therapeutic advances, disparities in prostate cancer incidence and outcomes remain prevalent. The reasons that lead to this disparity in outcomes are complex and multifactorial. Established non-modifiable risk factors such as age and genetic predisposition contribute to this disparity; however, evidence suggests that modifiable risk factors (including social determinants of health, diet, steroid hormones, environment and lack of diversity in enrolment in clinical trials) are prominent contributing factors to the racial disparities observed. Disparities involved in the diagnosis, treatment and survival of African American men with prostate cancer have also been correlated with low socioeconomic status, education and lack of access to health care. The effects and complex interactions of prostate cancer modifiable risk factors are important considerations for mitigating the incidence and outcomes of this disease in African American men.
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Affiliation(s)
- Jabril R Johnson
- Department of Microbiology, Biochemistry & Immunology, Morehouse School of Medicine, Atlanta, GA, USA.
| | - Nicole Mavingire
- Department of Physiology, Morehouse School of Medicine, Atlanta, GA, USA
| | | | - Mya Walker
- Department of Diabetes and Cancer Metabolism, Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Deyana Lewis
- Department of Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, GA, USA
| | - Stanley E Hooker
- Department of Population Sciences, Division of Health Equities, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Dorothy Galloway
- Department of Population Sciences, Division of Health Equities, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Brian Rivers
- Department of Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, GA, USA
| | - Rick A Kittles
- Department of Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, GA, USA
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4
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Zhen K, Hou W, Bai L, Wang M, Yue Z, Xu Z, Xiong D, Gao L, Ying W. An effective urobilin clearance strategy based on paramagnetic beads facilitates microscale proteomic analysis of urine. Analyst 2024; 149:3625-3635. [PMID: 38775334 DOI: 10.1039/d4an00312h] [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: 06/25/2024]
Abstract
Urine provides an ideal source for disease biomarker discovery. High-adhesion contaminants such as urobilin, which are difficult to remove from urine, can severely interfere with urinary proteomic analysis. Here, we aimed to establish a strategy based on single-pot, solid-phase-enhanced sample preparation (SP3) technology to prepare samples for urinary proteomics analysis that almost completely eliminates the impact of urobilin. A systematic evaluation of the effects of two urinary protein precipitation methods, two types of protein lysis buffers, and different ratios of magnetic digestion beads on the identification and quantification of the microscale urinary proteome was conducted. Our results indicate that methanol-chloroform precipitation, coupled with efficient lysis facilitated by urea, and subsequent enzymatic digestion using a mix of hydrophilic and hydrophobic magnetic beads offers the best performance. Further applying this strategy to the urine of patients with benign prostatic hyperplasia, prostate cancer and healthy individuals, combined with a narrow window of data-independent acquisition, FGFR4, MYLK, ORM2, GOLM1, SPP1, CD55, CSF1, DLD and TIMP3 were identified as potential biomarkers to discriminate benign prostatic hyperplasia and prostate cancer patients.
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Affiliation(s)
- Kemiao Zhen
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.
| | - Wenhao Hou
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.
| | - Lu Bai
- Department of Urology Surgery, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China.
| | - Mingchao Wang
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.
| | - Zhan Yue
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.
| | - Zanxin Xu
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.
| | - Deyun Xiong
- Department of Urology Surgery, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China.
| | - Li Gao
- Department of Urology Surgery, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China.
| | - Wantao Ying
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.
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Lian X, Pang L, Zhou H, Liu S. Identification and validation of the TRHDE-AS1/hsa-miR-449a/ADAMTS5 axis as a novel prognostic biomarker in prostate cancer. Biofactors 2024. [PMID: 38818922 DOI: 10.1002/biof.2083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 05/07/2024] [Indexed: 06/01/2024]
Abstract
Despite advancements in cancer research, the prognostic implications of competing endogenous RNA (ceRNA) networks in prostate cancer (PCa) remain incompletely understood. This study aimed to elucidate the prognostic relevance of ceRNA networks in PCa, utilizing a comprehensive bioinformatics approach alongside experimental validation. After searching The Cancer Genome Atlas (TCGA) database, RNA sequencing (RNA-Seq) data were extracted to identify differentially expressed RNAs (DERs) between 491 PCa samples and 51 normal prostate tissues, following which a comprehensive bioinformatics strategy was implemented to construct a ceRNA network. An optimal prognostic signature comprising these DERs was then established and validated using TCGA data. In addition, functional validation was performed through RNA pull-down, dual-luciferase reporter assays, quantitative real-time PCR, and western blot analysis conducted in PC-3 and DU145 cell lines, thereby complementing the bioinformatics analysis. A total of 613 DERs, comprising 103 long noncoding RNAs (lncRNAs), 60 microRNAs (miRNAs), and 450 messenger RNAs (mRNAs), were identified and utilized in constructing a ceRNA network, which encompassed 23 lncRNAs, 9 miRNAs, and 52 mRNAs. An optimal prognostic signature was established, including VPS9D1 antisense RNA 1 (VPS9D1-AS1), miR-449a, cyclin-dependent kinase 5 regulatory subunit 1 (CDK5R1), targeting protein for Xklp2 (TPX2), solute carrier family 7 member 11 (SLC7A11), copine7 (CPNE7), and maternal embryonic leucine zipper kinase (MELK), yielding area under the curve (AUC) values exceeding 0.8 across training, validation, and entire datasets. Our experiments results revealed an interaction between lncRNA TRHDE antisense RNA 1 (TRHDE-AS1) and miR-449a and that miR-449a could target the ADAM metallopeptidase with thrombospondin type 1 motif 5 (ADAMTS5) mRNA. Knockdown of miR-449a significantly impeded cell proliferation, G1/S transition, migration and invasion, and promoted apoptosis in PC-3 and DU145 cells. Furthermore, knockdown of miR-449a notably downregulated protein expression of CDK4, cyclin D1, N-cadherin and vimentin, while upregulating protein expression of cleaved caspase-3 and E-cadherin. This study contributes to a deeper understanding of the prognostic-linked ceRNA network in PCa, providing fundamental insights that could improve diagnostic and therapeutic approaches for PCa management.
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Affiliation(s)
- Xin Lian
- Department of Urology, The First Hospital of Jilin University, Changchun, China
| | - Lei Pang
- Department of Anesthesiology, The First Hospital of Jilin University, Changchun, China
| | - Honglan Zhou
- Department of Urology, The First Hospital of Jilin University, Changchun, China
| | - Si Liu
- Department of Urology, The First Hospital of Jilin University, Changchun, China
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Drożdż A, Duggan B, Ruddock MW, Reid CN, Kurth MJ, Watt J, Irvine A, Lamont J, Fitzgerald P, O’Rourke D, Curry D, Evans M, Boyd R, Sousa J. Stratifying risk of disease in haematuria patients using machine learning techniques to improve diagnostics. Front Oncol 2024; 14:1401071. [PMID: 38779086 PMCID: PMC11109371 DOI: 10.3389/fonc.2024.1401071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 04/22/2024] [Indexed: 05/25/2024] Open
Abstract
Background Detailed and invasive clinical investigations are required to identify the causes of haematuria. Highly unbalanced patient population (predominantly male) and a wide range of potential causes make the ability to correctly classify patients and identify patient-specific biomarkers a major challenge. Studies have shown that it is possible to improve the diagnosis using multi-marker analysis, even in unbalanced datasets, by applying advanced analytical methods. Here, we applied several machine learning algorithms to classify patients from the haematuria patient cohort (HaBio) by analysing multiple biomarkers and to identify the most relevant ones. Materials and methods We applied several classification and feature selection methods (k-means clustering, decision trees, random forest with LIME explainer and CACTUS algorithm) to stratify patients into two groups: healthy (with no clear cause of haematuria) or sick (with an identified cause of haematuria e.g., bladder cancer, or infection). The classification performance of the models was compared. Biomarkers identified as important by the algorithms were also analysed in relation to their involvement in the pathological processes. Results Results showed that a high unbalance in the datasets significantly affected the classification by random forest and decision trees, leading to the overestimation of the sick class and low model performance. CACTUS algorithm was more robust to the unbalance in the dataset. CACTUS obtained a balanced accuracy of 0.747 for both genders, 0.718 for females and 0.803 for males. The analysis showed that in the classification process for the whole dataset: microalbumin, male gender, and tPSA emerged as the most informative biomarkers. For males: age, microalbumin, tPSA, cystatin C, BTA, HAD and S100A4 were the most significant biomarkers while for females microalbumin, IL-8, pERK, and CXCL16. Conclusions CACTUS algorithm demonstrated improved performance compared with other methods such as decision trees and random forest. Additionally, we identified the most relevant biomarkers for the specific patient group, which could be considered in the future as novel biomarkers for diagnosis. Our results have the potential to inform future research and provide new personalised diagnostic approaches tailored directly to the needs of the individuals.
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Affiliation(s)
- Anna Drożdż
- Personal Health Data Science Group, Sano – Centre for Computational Personalised Medicine - International Research Foundation, Krakow, Poland
| | - Brian Duggan
- South Eastern Health and Social Care Trust, Ulster Hospital Dundonald, Belfast, United Kingdom
| | - Mark W. Ruddock
- Clinical Studies Group, Randox Laboratories Ltd., Co., Antrim, United Kingdom
| | - Cherith N. Reid
- Clinical Studies Group, Randox Laboratories Ltd., Co., Antrim, United Kingdom
| | - Mary Jo Kurth
- Clinical Studies Group, Randox Laboratories Ltd., Co., Antrim, United Kingdom
| | - Joanne Watt
- Clinical Studies Group, Randox Laboratories Ltd., Co., Antrim, United Kingdom
| | - Allister Irvine
- Clinical Studies Group, Randox Laboratories Ltd., Co., Antrim, United Kingdom
| | - John Lamont
- Clinical Studies Group, Randox Laboratories Ltd., Co., Antrim, United Kingdom
| | - Peter Fitzgerald
- Clinical Studies Group, Randox Laboratories Ltd., Co., Antrim, United Kingdom
| | - Declan O’Rourke
- Belfast Health and Social Care Trust, Belfast City Hospital, Belfast, United Kingdom
| | - David Curry
- Belfast Health and Social Care Trust, Belfast City Hospital, Belfast, United Kingdom
| | - Mark Evans
- Belfast Health and Social Care Trust, Belfast City Hospital, Belfast, United Kingdom
| | - Ruth Boyd
- Northern Ireland Clinical Trials Network, Belfast City Hospital, Belfast, United Kingdom
| | - Jose Sousa
- Personal Health Data Science Group, Sano – Centre for Computational Personalised Medicine - International Research Foundation, Krakow, Poland
- Centre for Public Health, Institute of Clinical Sciences, Queen’s University, Belfast, United Kingdom
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Coman RA, Schitcu VH, Budisan L, Raduly L, Braicu C, Petrut B, Coman I, Berindan-Neagoe I, Al Hajjar N. Evaluation of miR-148a-3p and miR-106a-5p as Biomarkers for Prostate Cancer: Pilot Study. Genes (Basel) 2024; 15:584. [PMID: 38790213 PMCID: PMC11120777 DOI: 10.3390/genes15050584] [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: 02/24/2024] [Revised: 04/19/2024] [Accepted: 05/01/2024] [Indexed: 05/26/2024] Open
Abstract
MicroRNAs (miRNAs) are a class of small non-coding RNAs that may function as tumor suppressors or oncogenes. Alteration of their expression levels has been linked to a range of human malignancies, including cancer. The objective of this investigation is to assess the relative expression levels of certain miRNAs to distinguish between prostate cancer (PCa) from benign prostatic hyperplasia (BPH). Blood plasma was collected from 66 patients diagnosed with BPH and 58 patients with PCa. Real-time PCR technology was used to evaluate the relative expression among the two groups for miR-106a-5p and miR-148a-3p. The significant downregulation of both miRNAs in plasma from PCa versus BPH patients suggests their potential utility as diagnostic biomarkers for distinguishing between these conditions. The concurrent utilization of these two miRNAs slightly enhanced the sensitivity for discrimination among the two analyzed groups, as shown in ROC curve analysis. Further validation of these miRNAs in larger patient cohorts and across different stages of PCa may strengthen their candidacy as clinically relevant biomarkers for diagnosis and prognosis.
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Affiliation(s)
- Roxana Andra Coman
- Department of Urology, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (R.A.C.); (B.P.); (I.C.)
| | - Vlad Horia Schitcu
- Department of Urology, “Prof Dr. Ion Chiricuta” Oncology Institute, 400015 Cluj-Napoca, Romania;
| | - Liviuta Budisan
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania; (L.B.); (L.R.); (C.B.)
| | - Lajos Raduly
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania; (L.B.); (L.R.); (C.B.)
| | - Cornelia Braicu
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania; (L.B.); (L.R.); (C.B.)
| | - Bogdan Petrut
- Department of Urology, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (R.A.C.); (B.P.); (I.C.)
| | - Ioan Coman
- Department of Urology, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (R.A.C.); (B.P.); (I.C.)
| | - Ioana Berindan-Neagoe
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania; (L.B.); (L.R.); (C.B.)
| | - Nadim Al Hajjar
- Department of Surgery, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania;
- Department of Surgery, Regional Institute of Gastroenterology and Hepatology “Octavian Fodor”, 400394 Cluj-Napoca, Romania
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Šimánek V, Vrzáková R, Viták R, Jirásko M, Fürst T, Topolčan O, Pecen L, Vurm V, Kučera R. Preanalytical stability of molecular forms of prostate-specific antigen in serum samples (PSA, free PSA, [-2]proPSA) and their impact on fPSA/tPSA ratio and PHI. Prostate 2024; 84:656-665. [PMID: 38414098 DOI: 10.1002/pros.24681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 01/04/2024] [Accepted: 02/14/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND Prostate cancer is a common cancer in men. Detection methods include the measurement of biomarkers: prostate-specific antigen (PSA), free PSA, [-2]proPSA, and the calculated indices: fPSA/tPSA ratio and Prostate Health Index (PHI). Proper preanalytical conditions are crucial for precise measurement and failure to adhere to protocols or regulations can influence the diagnostic algorithm. We assessed the stability of the above-mentioned biomarkers, fPSA/tPSA ratio and PHI, under various pre-analytical conditions. METHODS Serum samples from 45 males were collected and stored under specific conditions before tPSA, fPSA, and [-2]proPSA were measured. Subsequently, the fPSA/tPSA and PHI were calculated. RESULTS tPSA, fPSA, and [-2]proPSA remained stable during the two freeze-thaw cycles. Storage at 4°C and 22°C resulted in stable tPSA concentrations. However, fPSA levels decreased and [-2]proPSA levels increased over time. The fPSA/tPSA ratio remained stable for 72 h, at which point a decrease was observed in the samples kept at 4°C and 22°C. A gradual increase in PHI was observed in the samples kept at 4°C and 22°C. CONCLUSIONS All biomarkers remained stable during two freeze-thaw cycles. tPSA was the most stable analyte when stored at 4°C, as well as at RT. A gradual increase of [-2]proPSA and a slight decrease in fPSA were observed during the storage test. This led to a decrease in the fPSA/tPSA ratio and an elevation in the PHI. We therefore recommend measuring prostate biomarkers promptly following blood collection. IMPACT Understanding the pre-analytical stability of prostate biomarkers helps prevent false positive results and improve the accuracy of diagnostics for prostate cancer.
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Affiliation(s)
- Václav Šimánek
- Department of Immunochemistry Diagnostics, University Hospital and Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Radana Vrzáková
- Department of Medical Chemistry and Biochemistry, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Roman Viták
- Department of Pharmacology and Toxicology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Michal Jirásko
- Department of Immunochemistry Diagnostics, University Hospital and Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
- Department of Pharmacology and Toxicology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Tomáš Fürst
- Faculty of Science, c, Palacky University in Olomou, Olomouc, Czech Republic
| | - Ondřej Topolčan
- Department of Immunochemistry Diagnostics, University Hospital and Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Ladislav Pecen
- Department of Immunochemistry Diagnostics, University Hospital and Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Vladimír Vurm
- Department of Immunochemistry Diagnostics, University Hospital and Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Radek Kučera
- Department of Immunochemistry Diagnostics, University Hospital and Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
- Department of Pharmacology and Toxicology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
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9
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Ke Z, Hu X, Liu Y, Shen D, Khan MI, Xiao J. Updated review on analysis of long non-coding RNAs as emerging diagnostic and therapeutic targets in prostate cancers. Crit Rev Oncol Hematol 2024; 196:104275. [PMID: 38302050 DOI: 10.1016/j.critrevonc.2024.104275] [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: 10/08/2023] [Revised: 01/22/2024] [Accepted: 01/26/2024] [Indexed: 02/03/2024] Open
Abstract
Despite advancements, prostate cancers (PCa) pose a significant global health challenge due to delayed diagnosis and therapeutic resistance. This review delves into the complex landscape of prostate cancer, with a focus on long-noncoding RNAs (lncRNAs). Also explores the influence of aberrant lncRNAs expression in progressive PCa stages, impacting traits like proliferation, invasion, metastasis and therapeutic resistance. The study elucidates how lncRNAs modulate crucial molecular effectors, including transcription factors and microRNAs, affecting signaling pathways such as androgen receptor signaling. Besides, this manuscript sheds light on novel concepts and mechanisms driving PCa progression through lncRNAs, providing a critical analysis of their impact on the disease's diverse characteristics. Besides, it discusses the potential of lncRNAs as diagnostics and therapeutic targets in PCa. Collectively, this work highlights state of art mechanistic comprehension and rigorous scientific approaches to advance our understanding of PCa and depict innovations in this evolving field of research.
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Affiliation(s)
- Zongpan Ke
- Department of Urology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17 Lujiang Road, Luyang District, Hefei 230001, China; Wannan Medical College, No. 22 Wenchangxi Road, Yijiang District, Wuhu 241000, China
| | - Xuechun Hu
- Department of Urology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17 Lujiang Road, Luyang District, Hefei 230001, China
| | - Yixun Liu
- Department of Urology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17 Lujiang Road, Luyang District, Hefei 230001, China
| | - Deyun Shen
- Department of Urology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17 Lujiang Road, Luyang District, Hefei 230001, China.
| | - Muhammad Imran Khan
- School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, 230026 China.
| | - Jun Xiao
- Department of Urology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17 Lujiang Road, Luyang District, Hefei 230001, China.
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10
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Sultan MI, Huynh LM, Kamil S, Abdelaziz A, Hammad MA, Gin GE, Lee DI, Youssef RF. Utility of noninvasive biomarker testing and MRI to predict a prostate cancer diagnosis. Int Urol Nephrol 2024; 56:539-546. [PMID: 37742327 PMCID: PMC10808487 DOI: 10.1007/s11255-023-03786-9] [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: 07/01/2023] [Accepted: 09/01/2023] [Indexed: 09/26/2023]
Abstract
PURPOSE To assess the diagnostic performance and utility of the ExoDx IntelliScore and an OPKO4K score to predict prostate cancer in men presenting with elevated PSA-both as independent predictors and in combination with clinical/MRI characteristics. METHODS Patients with elevated PSA were retrospectively reviewed. Abnormal tests were defined as an OPKO4K score ≥ 7.5% and an ExoDx IntelliScore ≥ 15.6. Four regression models and ROC curves were generated based on: (1) age, PSA, and DRE, (2) model 1 + OPKO4K 4Kscore ≥ 7.5%, (3) model 2 + ExoDx IntelliScore ≥ 15.6, and (4) model 3 + MRI PIRADS 4-5. RESULTS 359 men received an OPKO4K test, 307 had MRI and 113 had ExoDx tests. 163 men proceeded to prostate biopsy and 196 (55%) were saved from biopsy. Mean age was 65.0 ± 8.7 years and mean PSA was 7.1 ± 6.1 ng/mL. Positive biopsies were found in 84 (51.5%) men. The sensitivity and negative predictive value of an OPKO4K score were 86.7% and 72.3%; values for an ExoDx test were 76.5% and 77.1%, respectively. On regression analysis, clinical markers (Age, PSA, DRE) generated an AUC of 0.559. The addition of an OPKO4K score raised the AUC to 0.653. The stepwise addition of an ExoDx score raised the AUC to 0.766. The combined use of both biomarkers, patient characteristics, and MRI yielded an AUC of 0.825. CONCLUSION This analysis demonstrates the high negative predictive value of both the OPKO4K score and ExoDX IntelliScore independently while demonstrating that the combination of an OPKO4K score, an ExoDX IntelliScore, and MRI increases predictive capability for biopsy confirmed prostate cancer.
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Affiliation(s)
- Mark I Sultan
- Department of Urology, University of California, Irvine, Orange, CA, USA
| | - Linda M Huynh
- Department of Urology, University of California, Irvine, Orange, CA, USA
| | - Sarah Kamil
- Department of Urology, University of California, Irvine, Orange, CA, USA
| | - Ahmad Abdelaziz
- Department of Urology, University of California, Irvine, Orange, CA, USA
| | - Muhammed A Hammad
- Department of Urology, University of California, Irvine, Orange, CA, USA
| | - Greg E Gin
- Department of Urology, University of California, Irvine, Orange, CA, USA
| | - David I Lee
- Department of Urology, University of California, Irvine, Orange, CA, USA
| | - Ramy F Youssef
- Department of Urology, University of California, Irvine, Orange, CA, USA.
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11
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Korram J, Anbalagan AC, Banerjee A, Sawant SN. Bio-conjugated carbon dots for the bimodal detection of prostate cancer biomarkers via sandwich fluorescence and electrochemical immunoassays. J Mater Chem B 2024; 12:742-751. [PMID: 38165823 DOI: 10.1039/d3tb02090h] [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: 01/04/2024]
Abstract
Bimodal detection facilitates the accurate and reliable detection of cancer biomarkers, which can assist in the early diagnosis of cancer. Herein, S-doped carbon dots (OCDs) with a size of 3 nm and blue emission were synthesized by the hydrothermal treatment of onion extract. The S-doped carbon dots were bioconjugated with an antibody (OCDs@PSAAbHRP) to design a nanoprobe for the detection of prostate specific antigen (PSA), an important serum based prostate cancer biomarker. The detection probe enabled the biomodal assay of PSA via fluorescence immunoassay (FIA) and electrochemical immunoassay (ECIA). In both assays, polyethylenimine stabilized polyaniline nanoparticles (PNPs) were used as the immobilization matrix, which played a major role in widening the linear range of biosensors (0.1 to 100 ng ml-1 for ECIA and 5 to 120 ng ml-1 for FIA). Paper-based and smartphone-integrated fluorescence immuno-array developed using the OCDs@PSAAbHRP detection probe provided cost-effective and rapid detection, while the electrochemical immunoassay provided a high sensitivity (7.8 μA ng-1 ml-1 cm-2) and low detection limit (38 pg ml-1) for PSA detection. The role of OCDs in enhancing the sensor performance was deciphered by carrying out detailed electrochemical studies with HRP enzyme-loaded OCDs. The biosensor was used to detect PSA in human blood serum samples and the results were consistent with conventional techniques. Owing to its analytical properties coupled with simplicity, cost-effectiveness, and portability, the bimodal sensor system has potential for application in clinical analysis.
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Affiliation(s)
- Jyoti Korram
- Chemistry Division, Bhabha Atomic Research Centre, Trombay, Mumbai 400085, India.
| | | | - Anannya Banerjee
- Fuel Chemistry Division, Bhabha Atomic Research Centre, Trombay, Mumbai 400085, India
| | - Shilpa N Sawant
- Chemistry Division, Bhabha Atomic Research Centre, Trombay, Mumbai 400085, India.
- Homi Bhabha National Institute, Anushaktinagar, Mumbai 400094, India
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12
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Li S, Kang Y, Zeng Y. Targeting tumor and bone microenvironment: Novel therapeutic opportunities for castration-resistant prostate cancer patients with bone metastasis. Biochim Biophys Acta Rev Cancer 2024; 1879:189033. [PMID: 38040267 DOI: 10.1016/j.bbcan.2023.189033] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 10/22/2023] [Accepted: 11/23/2023] [Indexed: 12/03/2023]
Abstract
Despite standard hormonal therapy that targets the androgen receptor (AR) attenuates prostate cancer (PCa) effectively in the initial stage, the tumor ultimately converts to castration-resistant prostate cancer (CRPC), and the acquired resistance is still a great challenge for the management of advanced prostate cancer patients. The tumor microenvironment (TME) consists of multiple cellular and noncellular agents is well known as a vital role during the development and progression of CRPC by establishing communication between TME and tumor cells. Additionally, as primary prostate cancer progresses towards metastasis, and CRPC always experiences bone metastasis, the TME is conducive to the spread of tumors to the distant sits, particularly in bone. In addition, the bone microenvironment (BME) is also closely related to the survival, growth and colonization of metastatic tumor cells. The present review summarized the recent studies which mainly focused on the role of TME or BME in the CRPC patients with bone metastasis, and discussed the underlying mechanisms, as well as the potential therapeutic values of targeting TME and BME in the management of metastatic CRPC patients.
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Affiliation(s)
- Shenglong Li
- Second ward of Bone and Soft Tissue Tumor Surgery,Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China; The Liaoning Provincial Key Laboratory of Interdisciplinary Research on Gastrointestinal Tumor Combining Medicine with Engineering, Shenyang, China
| | - Yue Kang
- Department of Breast Surgery, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China
| | - Yu Zeng
- Department of Urology, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China.
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13
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Kour B, Shukla N, Bhargava H, Sharma D, Sharma A, Singh A, Valadi J, Sadasukhi TC, Vuree S, Suravajhala P. Identification of Plausible Candidates in Prostate Cancer Using Integrated Machine Learning Approaches. Curr Genomics 2023; 24:287-306. [PMID: 38235353 PMCID: PMC10790336 DOI: 10.2174/0113892029240239231109082805] [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: 03/01/2023] [Revised: 10/17/2023] [Accepted: 10/19/2023] [Indexed: 01/19/2024] Open
Abstract
Background Currently, prostate-specific antigen (PSA) is commonly used as a prostate cancer (PCa) biomarker. PSA is linked to some factors that frequently lead to erroneous positive results or even needless biopsies of elderly people. Objectives In this pilot study, we undermined the potential genes and mutations from several databases and checked whether or not any putative prognostic biomarkers are central to the annotation. The aim of the study was to develop a risk prediction model that could help in clinical decision-making. Methods An extensive literature review was conducted, and clinical parameters for related comorbidities, such as diabetes, obesity, as well as PCa, were collected. Such parameters were chosen with the understanding that variations in their threshold values could hasten the complicated process of carcinogenesis, more particularly PCa. The gathered data was converted to semi-binary data (-1, -0.5, 0, 0.5, and 1), on which machine learning (ML) methods were applied. First, we cross-checked various publicly available datasets, some published RNA-seq datasets, and our whole-exome sequencing data to find common role players in PCa, diabetes, and obesity. To narrow down their common interacting partners, interactome networks were analysed using GeneMANIA and visualised using Cytoscape, and later cBioportal was used (to compare expression level based on Z scored values) wherein various types of mutation w.r.t their expression and mRNA expression (RNA seq FPKM) plots are available. The GEPIA 2 tool was used to compare the expression of resulting similarities between the normal tissue and TCGA databases of PCa. Later, top-ranking genes were chosen to demonstrate striking clustering coefficients using the Cytoscape-cytoHubba module, and GEPIA 2 was applied again to ascertain survival plots. Results Comparing various publicly available datasets, it was found that BLM is a frequent player in all three diseases, whereas comparing publicly available datasets, GWAS datasets, and published sequencing findings, SPFTPC and PPIMB were found to be the most common. With the assistance of GeneMANIA, TMPO and FOXP1 were found as common interacting partners, and they were also seen participating with BLM. Conclusion A probabilistic machine learning model was achieved to identify key candidates between diabetes, obesity, and PCa. This, we believe, would herald precision scale modeling for easy prognosis.
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Affiliation(s)
- Bhumandeep Kour
- Department of Biotechnology, Lovely Professional University, Jalandhar, Punjab, India
- Bioclues.org, India
| | - Nidhi Shukla
- Bioclues.org, India
- Department of Biotechnology and Bioinformatics, Birla Institute of Scientific Research, Jaipur, Rajasthan, India
| | - Harshita Bhargava
- Department of Computer Science, IIS University, Jaipur, Rajasthan, India
| | - Devendra Sharma
- Urology and Renal Transplant Department of Renal Sciences, Rukmani Birla Hospital, Jaipur, Rajasthan, India
| | - Amita Sharma
- Department of Computer Science, IIS University, Jaipur, Rajasthan, India
| | - Anjuvan Singh
- Department of Biotechnology, School of Bioengineering and Biosciences, Lovely Professional University, Punjab, Phagwara, 144001, India
| | - Jayaraman Valadi
- Department of Computer Science, FLAME University, Pune, Maharashtra, India
| | - Trilok Chand Sadasukhi
- Department of Urology and Renal Transplant, Mahatma Gandhi University of Medical Sciences and Technology, Jaipur, Rajasthan, India
| | - Sugunakar Vuree
- Bioclues.org, India
- MNR Foundation for Research & Innovation, MNR Medical College and Hospital, MNR University, Telangana, India
| | - Prashanth Suravajhala
- Bioclues.org, India
- Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, Kerala, India
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14
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Yang Y, Mei H, Han X, Zhang X, Cheng J, Zhang Z, Wang H, Xu H. Synthetic CRISPR/dCas9-KRAB system driven by specific PSA promoter suppresses malignant biological behavior of prostate cancer cells through negative feedback inhibition of PSA expression. Cell Mol Biol Lett 2023; 28:96. [PMID: 38017385 PMCID: PMC10685504 DOI: 10.1186/s11658-023-00508-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 10/27/2023] [Indexed: 11/30/2023] Open
Abstract
PSA is a type of proto-oncogene that is specifically and highly expressed in embryonic and prostate cancer cells, but not expressed in normal prostate tissue cells. The specific expression of prostate-specific antigen (PSA) is found to be related with the conditional transcriptional regulation of its promoter. Clustered regularly interspaced short palindromic repeats (CRISPR)-dCas9-KRAB is a newly developed transcriptional regulatory system that inhibits gene expression by interupting the DNA transcription process. Induction of CRISPR-dCas9-KRAB expression through the PSA promoter may help feedback inhibition of cellular PSA gene expression via single guide RNA (sgRNA), thereby monitoring and suppressing the malignant state of tumor cells. In this study, we examined the transcriptional activity of the PSA promoter in different prostate cancer cells and normal prostate epithelial cells and determined that it is indeed a prostate cancer cell-specific promoter.Then we constructed the CRISPR-dCas9-KRAB system driven by the PSA promoter, which can inhibit PSA gene expression in the prostate cancer cells at the transcriptional level, and therefore supress the malignant growth and migration of prostate cancer cells and promote their apoptosis in vitro. This study provides a potentially effective anti-cancer strategy for gene therapy of prostate cancer.
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Affiliation(s)
- Yi Yang
- Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Hongbing Mei
- Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Xiaohong Han
- Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Xintao Zhang
- Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Jianli Cheng
- Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Zhongfu Zhang
- Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Han Wang
- Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Haixia Xu
- Department of Medical Oncology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
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15
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Mu C, Liu X, Kim Y, Riselli A, Korenchan DE, Bok RA, Delos Santos R, Sriram R, Qin H, Nguyen H, Gordon JW, Slater J, Larson PEZ, Vigneron DB, Kurhanewicz J, Wilson DM, Flavell RR. Clinically Translatable Hyperpolarized 13C Bicarbonate pH Imaging Method for Use in Prostate Cancer. ACS Sens 2023; 8:4042-4054. [PMID: 37878761 PMCID: PMC10683509 DOI: 10.1021/acssensors.3c00851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 09/20/2023] [Accepted: 09/25/2023] [Indexed: 10/27/2023]
Abstract
Solid tumors such as prostate cancer (PCa) commonly develop an acidic microenvironment with pH 6.5-7.2, owing to heterogeneous perfusion, high metabolic activity, and rapid cell proliferation. In preclinical prostate cancer models, disease progression is associated with a decrease in tumor extracellular pH, suggesting that pH imaging may reflect an imaging biomarker to detect aggressive and high-risk disease. Therefore, we developed a hyperpolarized carbon-13 MRI method to image the tumor extracellular pH (pHe) and prepared it for clinical translation for detection and risk stratification of PCa. This method relies on the rapid breakdown of hyperpolarized (HP) 1,2-glycerol carbonate (carbonyl-13C) via base-catalyzed hydrolysis to produce HP 13CO32-, which is neutralized and converted to HP H13CO3-. After injection, HP H13CO3- equilibrates with HP 13CO2 in vivo and enables the imaging of pHe. Using insights gleaned from mechanistic studies performed in the hyperpolarized state, we solved issues of polarization loss during preparation in a clinical polarizer system. We successfully customized a reaction apparatus suitable for clinical application, developed clinical standard operating procedures, and validated the radiofrequency pulse sequence and imaging data acquisition with a wide range of animal models. The results demonstrated that we can routinely produce a highly polarized and safe HP H13CO3- contrast agent suitable for human injection. Preclinical imaging studies validated the reliability and accuracy of measuring acidification in healthy kidney and prostate tumor tissue. These methods were used to support an Investigational New Drug application to the U.S. Food and Drug Administration. This methodology is now ready to be implemented in human trials, with the ultimate goal of improving the management of PCa.
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Affiliation(s)
- Changhua Mu
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Xiaoxi Liu
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Yaewon Kim
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Andrew Riselli
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - David E. Korenchan
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Robert A. Bok
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Romelyn Delos Santos
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Renuka Sriram
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Hecong Qin
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Hao Nguyen
- Department
of Urology, University of California, San Francisco, California 94143, United States
| | - Jeremy W. Gordon
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - James Slater
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Peder E. Z. Larson
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Daniel B. Vigneron
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - John Kurhanewicz
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - David M. Wilson
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
| | - Robert R. Flavell
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94107, United States
- Department
of Pharmaceutical Chemistry, University
of California, San Francisco, California 94158, United States
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16
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Yazdani M, Saberi N, Baradaran A, Mohajeri Z. Diagnostic value of total serum/free prostate specific antigen and prostate cancer antigen-3 levels in prostate cancer. AMERICAN JOURNAL OF CLINICAL AND EXPERIMENTAL UROLOGY 2023; 11:414-419. [PMID: 37941653 PMCID: PMC10628628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 07/16/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND The purpose of this study was to compare serum total and free prostate specific antigen (PSA) levels and serum prostate cancer antigen-3 (PCA3) levels in patients with prostate cancer in 2018 and 2019. METHODS This research was a prospective case-control study. The case group included all patients with suspected prostate cancer, and the control group included individuals without prostate disease who were referred to Ali Asghar and Nour Hospital in Isfahan, Iran, from October 2018 to October 2020. The serum total PSA, free PSA, and PCA3 levels in both groups were measured using the ELISA method with standard kits and compared between the groups. RESULTS The two groups were matched in terms of age and body mass index (BMI). The results showed that the mean free PSA level in the control group was significantly higher than that in the case group (P<0.05). Conversely, the mean total PSA level in the case group was significantly higher than that in the control group (P<0.05). However, no significant difference was observed in the mean PCA3 levels between the case and control groups. In addition, the total PSA variable with a cutoff of ≤3.14 exhibited 93% sensitivity and 82% specificity, demonstrating the highest diagnostic accuracy in distinguishing between prostate cancer and healthy individuals. Similarly, the PCA3 value with a cutoff of ≤3.5 had a sensitivity and specificity of 70% and 72%, respectively. CONCLUSION Overall, the study results indicated that total PSA and PCA3 levels have higher diagnostic accuracy in distinguishing patients with suspected prostate cancer from healthy individuals.
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Affiliation(s)
- Mohammad Yazdani
- Department of Urology, School of Medicine, Kidney Transplantation Research Center, Khorshid Hospital, Isfahan University of Medical SciencesIsfahan, Iran
| | - Narjes Saberi
- Department of Urology, School of Medicine, Kidney Transplantation Research Center, Khorshid Hospital, Isfahan University of Medical SciencesIsfahan, Iran
| | - Azar Baradaran
- Department of Pathology, School of Medicine, Isfahan University of Medical SciencesIsfahan, Iran
| | - Zahra Mohajeri
- School of Medicine, Isfahan University of Medical SciencesIsfahan, Iran
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17
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Applegate CC, Nelappana MB, Nielsen EA, Kalinowski L, Dobrucki IT, Dobrucki LW. RAGE as a Novel Biomarker for Prostate Cancer: A Systematic Review and Meta-Analysis. Cancers (Basel) 2023; 15:4889. [PMID: 37835583 PMCID: PMC10571903 DOI: 10.3390/cancers15194889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 09/26/2023] [Accepted: 10/04/2023] [Indexed: 10/15/2023] Open
Abstract
The receptor for advanced glycation end-products (RAGE) has been implicated in driving prostate cancer (PCa) growth, aggression, and metastasis through the fueling of chronic inflammation in the tumor microenvironment. This systematic review and meta-analysis summarizes and analyzes the current clinical and preclinical data to provide insight into the relationships among RAGE levels and PCa, cancer grade, and molecular effects. A multi-database search was used to identify original clinical and preclinical research articles examining RAGE expression in PCa. After screening and review, nine clinical and six preclinical articles were included. The associations of RAGE differentiating benign prostate hyperplasia (BPH) or normal prostate from PCa and between tumor grades were estimated using odds ratios (ORs) and associated 95% confidence intervals (CI). Pooled estimates were calculated using random-effect models due to study heterogeneity. The clinical meta-analysis found that RAGE expression was highly likely to be increased in PCa when compared to BPH or normal prostate (OR: 11.3; 95% CI: 4.4-29.1) and that RAGE was overexpressed in high-grade PCa when compared to low-grade PCa (OR: 2.5; 95% CI: 1.8-3.4). In addition, meta-analysis estimates of preclinical studies performed by albatross plot generation found robustly positive associations among RAGE expression/activation and PCa growth and metastatic potential. This review demonstrates that RAGE expression is strongly tied to PCa progression and can serve as an effective diagnostic target to differentiate between healthy prostate, low-grade PCa, and high-grade PCa, with potential theragnostic applications.
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Affiliation(s)
- Catherine C. Applegate
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; (C.C.A.)
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Michael B. Nelappana
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; (C.C.A.)
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Elaine A. Nielsen
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; (C.C.A.)
| | - Leszek Kalinowski
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Division of Medical Laboratory Diagnostics—Fahrenheit Biobank BBMRI.pl, Medical University of Gdansk, 80-211 Gdansk, Poland
- BioTechMed Centre, Department of Mechanics of Materials and Structures, Gdansk University of Technology, 80-211 Gdansk, Poland
| | - Iwona T. Dobrucki
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; (C.C.A.)
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Biomedical and Translational Sciences, Carle-Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61853, USA
| | - Lawrence W. Dobrucki
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; (C.C.A.)
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Division of Medical Laboratory Diagnostics—Fahrenheit Biobank BBMRI.pl, Medical University of Gdansk, 80-211 Gdansk, Poland
- Department of Biomedical and Translational Sciences, Carle-Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61853, USA
- Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
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18
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Zhang Q, Li H, Song Z, Kong S, Zhao S, Fan S, Qin F, Ma J. Potential diagnostic value of multiple indicators combined with total prostate-specific antigen in prostate cancer. J Int Med Res 2023; 51:3000605231204429. [PMID: 37848343 PMCID: PMC10586000 DOI: 10.1177/03000605231204429] [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: 06/08/2023] [Accepted: 09/13/2023] [Indexed: 10/19/2023] Open
Abstract
OBJECTIVE We aimed to investigate the diagnostic value of different laboratory indicators in combination with total prostate-specific antigen (TPSA) for prostate cancer (PCa). METHODS In this retrospective study, we selected 291 patients who underwent prostate biopsy. Patients were divided into the benign prostatic hyperplasia group and the PCa group. In both groups, patients were again divided into a group with TPSA 4.0-10.0 ng/mL and a group with TPSA >10.0 ng/mL. Clinical data including age, pre-puncture TPSA, free prostate-specific antigen (FPSA), and prostate volume (PV) were collected from all patients. We calculated the metrics PSA/PV (prostate-specific antigen density, PSAD), age/PV (AVR), age × PV/TPSA (PSA-AV), and (FPSA/TPSA)/PSAD [(F/T)/PSAD]). We plotted receiver operating characteristic (ROC) curves and calculated the area under the ROC curve (AUC). RESULTS We found statistically significant differences in PV, PSAD, AVR, PSA-AV, and (F/T) PSAD for patients with TPSA 4.0-10.0 ng/mL and TPSA >10 ng/mL. We further plotted the ROC of individual or combined indices in different subgroups and calculated the AUC. We found that the diagnostic efficacy of the combined indices was higher with TPSA >10 ng/mL. CONCLUSION The combination of TPSA with multiple indicators may improve diagnostic accuracy for PCa.
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Affiliation(s)
| | | | - Zhiguo Song
- Department of Urology, Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Shaopeng Kong
- Department of Urology, Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Sitao Zhao
- Department of Urology, Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Siqi Fan
- Department of Urology, Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Fei Qin
- Department of Urology, Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Jianguo Ma
- Department of Urology, Third Hospital of Hebei Medical University, Shijiazhuang, China
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19
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Varaprasad GL, Gupta VK, Prasad K, Kim E, Tej MB, Mohanty P, Verma HK, Raju GSR, Bhaskar L, Huh YS. Recent advances and future perspectives in the therapeutics of prostate cancer. Exp Hematol Oncol 2023; 12:80. [PMID: 37740236 PMCID: PMC10517568 DOI: 10.1186/s40164-023-00444-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 09/10/2023] [Indexed: 09/24/2023] Open
Abstract
Prostate cancer (PC) is one of the most common cancers in males and the fifth leading reason of death. Age, ethnicity, family history, and genetic defects are major factors that determine the aggressiveness and lethality of PC. The African population is at the highest risk of developing high-grade PC. It can be challenging to distinguish between low-risk and high-risk patients due to the slow progression of PC. Prostate-specific antigen (PSA) is a revolutionary discovery for the identification of PC. However, it has led to an increase in over diagnosis and over treatment of PC in the past few decades. Even if modifications are made to the standard PSA testing, the specificity has not been found to be significant. Our understanding of PC genetics and proteomics has improved due to advances in different fields. New serum, urine, and tissue biomarkers, such as PC antigen 3 (PCA3), have led to various new diagnostic tests, such as the prostate health index, 4K score, and PCA3. These tests significantly reduce the number of unnecessary and repeat biopsies performed. Chemotherapy, radiotherapy, and prostatectomy are standard treatment options. However, newer novel hormone therapy drugs with a better response have been identified. Androgen deprivation and hormonal therapy are evolving as new and better options for managing hormone-sensitive and castration-resistant PC. This review aimed to highlight and discuss epidemiology, various risk factors, and developments in PC diagnosis and treatment regimens.
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Affiliation(s)
- Ganji Lakshmi Varaprasad
- Department of Biological Sciences and Bioengineering, Biohybrid Systems Research Center (BSRC), Inha University, Incheon, 22212, Republic of Korea
| | - Vivek Kumar Gupta
- Department of Biological Sciences and Bioengineering, Biohybrid Systems Research Center (BSRC), Inha University, Incheon, 22212, Republic of Korea
| | - Kiran Prasad
- Department of Zoology, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
| | - Eunsu Kim
- Department of Biological Sciences and Bioengineering, Biohybrid Systems Research Center (BSRC), Inha University, Incheon, 22212, Republic of Korea
| | - Mandava Bhuvan Tej
- Department of Health Care Informatics, Sacred Heart University, 5151 Park Avenue, Fair Fields, CT, 06825, USA
| | - Pratik Mohanty
- Department of Zoology, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
| | - Henu Kumar Verma
- Department of Immunopathology, Institute of Lungs Health and Immunity, Helmholtz Zentrum, 85764, Neuherberg, Munich, Germany
| | - Ganji Seeta Rama Raju
- Department of Energy and Materials Engineering, Dongguk University-Seoul, Seoul, 04620, Republic of Korea.
| | - Lvks Bhaskar
- Department of Zoology, Guru Ghasidas Vishwavidyalaya, Bilaspur, India.
| | - Yun Suk Huh
- Department of Biological Sciences and Bioengineering, Biohybrid Systems Research Center (BSRC), Inha University, Incheon, 22212, Republic of Korea.
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20
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Pranav, Laskar P, Jaggi M, Chauhan SC, Yallapu MM. Biomolecule-functionalized nanoformulations for prostate cancer theranostics. J Adv Res 2023; 51:197-217. [PMID: 36368516 PMCID: PMC10491979 DOI: 10.1016/j.jare.2022.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Revised: 10/21/2022] [Accepted: 11/03/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Even with the advancement in the areas of cancer nanotechnology, prostate cancer still poses a major threat to men's health. Nanomaterials and nanomaterial-derived theranostic systems have been explored for diagnosis, imaging, and therapy for different types of cancer still, for prostate cancer they have not delivered at full potential because of the limitations like in vivo biocompatibility, immune responses, precise targetability, and therapeutic outcome associated with the nanostructured system. AIM OF REVIEW Functionalizing nanomaterials with different biomolecules and bioactive agents provides advantages like specificity towards cancerous tumors, improved circulation time, and modulation of the immune response leading to early diagnosis and targeted delivery of cargo at the site of action. KEY SCIENTIFIC CONCEPTS OF REVIEW In this review, we have emphasized the classification and comparison of various nanomaterials based on biofunctionalization strategy and source of biomolecules such that it can be used for possible translation in clinical settings and future developments. This review highlighted the opportunities for embedding highly specific biological targeting moieties (antibody, aptamer, oligonucleotides, biopolymer, peptides, etc.) on nanoparticles which can improve the detection of prostate cancer-associated biomarkers at a very low limit of detection, direct visualization of prostate tumors and lastly for its therapy. Lastly, special emphasis was given to biomimetic nanomaterials which include functionalization with extracellular vesicles, exosomes and viral particles and their application for prostate cancer early detection and drug delivery. The present review paves a new pathway for next-generation biofunctionalized nanomaterials for prostate cancer theranostic application and their possibility in clinical translation.
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Affiliation(s)
- Pranav
- Department of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA
| | - Partha Laskar
- Department of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA
| | - Meena Jaggi
- Department of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA
| | - Subhash C Chauhan
- Department of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA
| | - Murali M Yallapu
- Department of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA.
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21
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Diao Y, Zhu B, Ding T, Li R, Li J, Yang L, Zhou L, Hao X, Liu J. Tumor-derived extracellular vesicle nucleic acids as promising diagnostic biomarkers for prostate cancer. Front Oncol 2023; 13:1201554. [PMID: 37456240 PMCID: PMC10338955 DOI: 10.3389/fonc.2023.1201554] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 06/14/2023] [Indexed: 07/18/2023] Open
Abstract
Liquid biopsy as a non-invasive method has a bright future in cancer diagnosis. Tumor-related extracellular vesicles (EVs) and their components (nucleic acids, proteins, and lipids) in biofluids may exert multiple functions in tumor growth, metastasis, immune escape, and angiogenesis. Among all the components, nucleic acids have attracted the most interest due to their simplicity of extraction and detection. In this review, the biological functions of EVs in prostate cancer (PCa) genesis and progression were summarized. Moreover, the diagnostic value of EV RNA markers found in clinical body fluid samples was reviewed, including their trends, challenging isolation methods, and diagnostic efficacy. Lastly, because relatively much progress has been made in PCa, studies on EV DNA markers are also discussed.
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22
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Silva J, Tavares V, Afonso A, Garcia J, Cerqueira F, Medeiros R. Plasmatic MicroRNAs and Treatment Outcomes of Patients with Metastatic Castration-Resistant Prostate Cancer: A Hospital-Based Cohort Study and In Silico Analysis. Int J Mol Sci 2023; 24:ijms24109101. [PMID: 37240449 DOI: 10.3390/ijms24109101] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 05/15/2023] [Accepted: 05/18/2023] [Indexed: 05/28/2023] Open
Abstract
Prostate cancer (PCa) is one of the most common malignancies among men worldwide. Inevitably, all advanced PCa patients develop metastatic castration-resistant prostate cancer (mCRPC), an aggressive phase of the disease. Treating mCRPC is challenging, and prognostic tools are needed for disease management. MicroRNA (miRNA) deregulation has been reported in PCa, constituting potential non-invasive prognostic biomarkers. As such, this study aimed to evaluate the prognostic potential of nine miRNAs in the liquid biopsies (plasma) of mCRPC patients treated with second-generation androgen receptor axis-targeted (ARAT) agents, abiraterone acetate (AbA) and enzalutamide (ENZ). Low expression levels of miR-16-5p and miR-145-5p in mCRPC patients treated with AbA were significantly associated with lower progression-free survival (PFS). The two miRNAs were the only predictors of the risk of disease progression in AbA-stratified analyses. Low miR-20a-5p levels in mCRPC patients with Gleason scores of <8 were associated with worse overall survival (OS). The transcript seems to predict the risk of death regardless of the ARAT agent. According to the in silico analyses, miR-16-5p, miR-145-5p, and miR-20a-5p seem to be implicated in several processes, namely, cell cycle, proliferation, migration, survival, metabolism, and angiogenesis, suggesting an epigenetic mechanism related to treatment outcome. These miRNAs may represent attractive prognostic tools to be used in mCRPC management, as well as a step further in the identification of new potential therapeutic targets, to use in combination with ARAT for an improved treatment outcome. Despite the promising results, real-world validation is necessary.
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Affiliation(s)
- Jani Silva
- Molecular Oncology and Viral Pathology Group, Research Center of IPO Porto (CI-IPOP)/Pathology and Laboratory Medicine Department, Clinical Pathology SV/RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal
- AquaValor-Centro de Valorização e Transferência de Tecnologia da Água, Rua Dr. Júlio Martins, nº1, 5400-342 Chaves, Portugal
| | - Valéria Tavares
- Molecular Oncology and Viral Pathology Group, Research Center of IPO Porto (CI-IPOP)/Pathology and Laboratory Medicine Department, Clinical Pathology SV/RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal
- Faculty of Medicine, University of Porto (FMUP), Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
- Abel Salazar Institute for the Biomedical Sciences (ICBAS), Universidade do Porto, Rua de Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal
| | - Ana Afonso
- Department of Oncology, Portuguese Institute of Oncology, Rua Dr. António Bernardino Almeida, 4200-072 Porto, Portugal
| | - Juliana Garcia
- AquaValor-Centro de Valorização e Transferência de Tecnologia da Água, Rua Dr. Júlio Martins, nº1, 5400-342 Chaves, Portugal
- Centre for the Research and Technology of Agro-Environment and Biological Sciences (CITAB)/Institute for Innovation, Capacity Building and Sustainability of Agri-Food Production (Inov4Agro), University of Trás-os-Montes e Alto Douro, 5001-801 Vila Real, Portugal
| | - Fátima Cerqueira
- Molecular Oncology and Viral Pathology Group, Research Center of IPO Porto (CI-IPOP)/Pathology and Laboratory Medicine Department, Clinical Pathology SV/RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal
- Instituto de Investigação, Inovação e Desenvolvimento Fernando Pessoa (FP-I3ID), Biomedical and Health Sciences (FP-BHS), Universidade Fernando Pessoa, Praça 9 de Abril, 349, 4249-004 Porto, Portugal
- Faculty of Health Sciences, University Fernando Pessoa, Rua Carlos da Maia, 296, 4200-150 Porto, Portugal
| | - Rui Medeiros
- Molecular Oncology and Viral Pathology Group, Research Center of IPO Porto (CI-IPOP)/Pathology and Laboratory Medicine Department, Clinical Pathology SV/RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal
- Faculty of Medicine, University of Porto (FMUP), Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
- Abel Salazar Institute for the Biomedical Sciences (ICBAS), Universidade do Porto, Rua de Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal
- Instituto de Investigação, Inovação e Desenvolvimento Fernando Pessoa (FP-I3ID), Biomedical and Health Sciences (FP-BHS), Universidade Fernando Pessoa, Praça 9 de Abril, 349, 4249-004 Porto, Portugal
- Faculty of Health Sciences, University Fernando Pessoa, Rua Carlos da Maia, 296, 4200-150 Porto, Portugal
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23
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Pellegrini M. Accurate prognosis for localized prostate cancer through coherent voting networks with multi-omic and clinical data. Sci Rep 2023; 13:7875. [PMID: 37188913 DOI: 10.1038/s41598-023-35023-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 05/11/2023] [Indexed: 05/17/2023] Open
Abstract
Localized prostate cancer is a very heterogeneous disease, from both a clinical and a biological/biochemical point of view, which makes the task of producing stratifications of patients into risk classes remarkably challenging. In particular, it is important an early detection and discrimination of the indolent forms of the disease, from the aggressive ones, requiring post-surgery closer surveillance and timely treatment decisions. This work extends a recently developed supervised machine learning (ML) technique, called coherent voting networks (CVN) by incorporating a novel model-selection technique to counter the danger of model overfitting. For the challenging problem of discriminating between indolent and aggressive types of localized prostate cancer, accurate prognostic prediction of post-surgery progression-free survival with a granularity within a year is attained, improving accuracy with respect to the current state of the art. The development of novel ML techniques tailored to the problem of combining multi-omics and clinical prognostic biomarkers is a promising new line of attack for sharpening the capability to diversify and personalize cancer patient treatments. The proposed approach allows a finer post-surgery stratification of patients within the clinical high-risk category, with a potential impact on the surveillance regime and the timing of treatment decisions, complementing existing prognostic methods.
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Affiliation(s)
- Marco Pellegrini
- Institute of Informatics and Telematics (IIT), CNR, 56124, Pisa, Italy.
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24
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Mebarek S, Skafi N, Brizuela L. Targeting Sphingosine 1-Phosphate Metabolism as a Therapeutic Avenue for Prostate Cancer. Cancers (Basel) 2023; 15:2732. [PMID: 37345069 DOI: 10.3390/cancers15102732] [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: 04/11/2023] [Revised: 05/09/2023] [Accepted: 05/10/2023] [Indexed: 06/23/2023] Open
Abstract
Prostate cancer (PC) is the second most common cancer in men worldwide. More than 65% of men diagnosed with PC are above 65. Patients with localized PC show high long-term survival, however with the disease progression into a metastatic form, it becomes incurable, even after strong radio- and/or chemotherapy. Sphingosine 1-phosphate (S1P) is a bioactive lipid that participates in all the steps of oncogenesis including tumor cell proliferation, survival, migration, invasion, and metastatic spread. The S1P-producing enzymes sphingosine kinases 1 and 2 (SK1 and SK2), and the S1P degrading enzyme S1P lyase (SPL), have been shown to be highly implicated in the onset, development, and therapy resistance of PC during the last 20 years. In this review, the most important studies demonstrating the role of S1P and S1P metabolic partners in PC are discussed. The different in vitro, ex vivo, and in vivo models of PC that were used to demonstrate the implication of S1P metabolism are especially highlighted. Furthermore, the most efficient molecules targeting S1P metabolism that are under preclinical and clinical development for curing PC are summarized. Finally, the possibility of targeting S1P metabolism alone or combined with other therapies in the foreseeable future as an alternative option for PC patients is discussed. Research Strategy: PubMed from INSB was used for article research. First, key words "prostate & sphingosine" were used and 144 articles were found. We also realized other combinations of key words as "prostate cancer bone metastasis" and "prostate cancer treatment". We used the most recent reviews to illustrate prostate cancer topic and sphingolipid metabolism overview topic.
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Affiliation(s)
- Saida Mebarek
- CNRS UMR 5246, INSA Lyon, Institut de Chimie et Biochimie Moléculaires et Supramoléculaires (ICBMS), 69622 Lyon, France
| | - Najwa Skafi
- CNRS, LAGEPP UMR 5007, University of Lyon, Université Claude Bernard Lyon 1, 43 Bd 11 Novembre 1918, 69622 Villeurbanne, France
| | - Leyre Brizuela
- CNRS UMR 5246, INSA Lyon, Institut de Chimie et Biochimie Moléculaires et Supramoléculaires (ICBMS), 69622 Lyon, France
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25
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Chen J, Xie T, Yang J, Lin X, Huang L, Su S, Deng J. Feasibility study of expressing epcam + /vimentin + CTC in prostate cancer diagnosis. J Cancer Res Clin Oncol 2023:10.1007/s00432-023-04819-7. [PMID: 37127827 DOI: 10.1007/s00432-023-04819-7] [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: 03/07/2023] [Accepted: 04/24/2023] [Indexed: 05/03/2023]
Abstract
PURPOSE Prostate cancer (PCa) is one of the most common malignancies in men and one of the leading causes of cancer-related deaths; circulating tumor cells (CTC) are malignant cells that have broken off from original tumor or metastatic sites and extravasated into the blood vessels either naturally or maybe as a consequence of surgical procedures. This study aims to explore the feasibility of liquid biopsy technique to diagnose prostate cancer. METHOD We constructed an assay platform integrating magnetic separation and fluorescence in situ hybridization (FISH) to effectively capture prostate cancer CTCs and evaluate the distribution between healthy volunteers and prostate cancer patients, respectively. RESULTS There was a significant difference in the number of CTCs between the healthy population and prostate cancer patients (P < 0.001). The results of the study showed that the CTCs capture identification system has good sensitivity and specificity in identifying prostate cancer patients. CONCLUSION The CTCs test allows us to accurately identify patients who are at high risk for prostate cancer, allowing for early intervention and treating patients effectively.
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Affiliation(s)
- Junyong Chen
- Department of Urology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), 79 Kangning Rd., Zhuhai, 519000, China
| | - Tao Xie
- Department of Urology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), 79 Kangning Rd., Zhuhai, 519000, China
| | - Jing Yang
- Department of Pathology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, 519000, China
| | - Xuehua Lin
- Department of Urology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), 79 Kangning Rd., Zhuhai, 519000, China
| | - Long Huang
- Department of Urology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), 79 Kangning Rd., Zhuhai, 519000, China.
| | - Shiya Su
- Department of Urology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), 79 Kangning Rd., Zhuhai, 519000, China.
| | - Jian Deng
- Department of Urology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), 79 Kangning Rd., Zhuhai, 519000, China.
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26
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Nowroozi A, Roshani S, Ghamari SH, Shobeiri P, Abbasi-Kangevari M, Ebrahimi N, Rezaei N, Yoosefi M, Malekpour MR, Rashidi MM, Moghimi M, Amini E, Shabestari AN, Larijani B, Farzadfar F. Global and regional quality of care index for prostate cancer: an analysis from the Global Burden of Disease study 1990-2019. Arch Public Health 2023; 81:70. [PMID: 37101304 PMCID: PMC10131390 DOI: 10.1186/s13690-023-01087-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 04/14/2023] [Indexed: 04/28/2023] Open
Abstract
BACKGROUND Prostate cancer (PCa) is one of the most prevalent cancers worldwide, with a significant burden on societies and healthcare providers. We aimed to develop a metric for PCa quality of care that could demonstrate the disease's status in different countries and regions (e.g., socio-demographic index (SDI) quintiles) and assist in improving healthcare policies. METHODS Basic burden of disease indicators for various regions and age-groups were retrieved from Global Burden of Disease Study 1990-2019, which then were used to calculate four secondary indices: mortality to incidence ratio, DALYs to prevalence ratio, prevalence to incidence ratio, and YLLs to YLDs ratio. These four indices were combined through a principal component analysis (PCA), producing the quality of care index (QCI). RESULTS PCa's age-standardized incidence rate increased from 34.1 in 1990 to 38.6 in 2019, while the age-standardized death rate decreased in the same period (18.1 to 15.3). From 1990 to 2019, global QCI increased from 74 to 84. Developed regions (high SDI) had the highest PCa QCIs in 2019 (95.99), while the lowest QCIs belonged to low SDI countries (28.67), mainly from Africa. QCI peaked in age groups 50 to 54, 55 to 59, or 65 to 69, depending on the socio-demographic index. CONCLUSIONS Global PCa QCI stands at a relatively high value (84 in 2019). Low SDI countries are affected the most by PCa, mainly due to the lack of effective preventive and treatment methods in those regions. In many developed countries, QCI decreased or stopped rising after recommendations against routine PCa screening in the 2010-2012 period, highlighting the role of screening in reducing PCa burden.
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Affiliation(s)
- Ali Nowroozi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Shahin Roshani
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyyed-Hadi Ghamari
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Parnian Shobeiri
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohsen Abbasi-Kangevari
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Narges Ebrahimi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Negar Rezaei
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Moein Yoosefi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad-Reza Malekpour
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad-Mahdi Rashidi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mana Moghimi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Erfan Amini
- Uro-Oncology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Namazi Shabestari
- Department of Geriatric Medicine, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Farshad Farzadfar
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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27
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Zhan N, Wang J, Zhang S, Wu H, Li Z, Hu M. Development and Validation of a Urinary microRNA Biomarker Panel as a Tool for Early Detection of Prostate Cancer in a Chinese Population. Biomarkers 2023:1-11. [PMID: 37185057 DOI: 10.1080/1354750x.2023.2166587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Introduction: Urinary microRNAs (miRNAs) may serve as promising biomarkers for non-invasive early detection of prostate cancer (PCa). We aimed to identify multi-miRNA urinary biomarker panel for early detection of PCa. Methods: Urine samples from 83 PCa patients and 88 healthy control subjects in a Chinese population were collected for miRNA profiling. The absolute expression of 360 unique miRNAs were measured in each sample using a highly sensitive and robust RT-qPCR workflow. Candidate urinary miRNA biomarkers were identified based on differential expression between PCa patients and healthy controls. Multi-miRNA biomarker panels were optimized for detection of PCa using three regression algorithms (Lasso, Stepwise, Exhaustive) to identify an optimal biomarker panel with best detection performance and least number of miRNAs. Results: A total of 312 miRNAs were detected in urine samples, 10 candidate urinary miRNA biomarkers differentially expressed between PCa and healthy samples were identified. A panel comprising these 10 miRNAs detected PCa with an area under the curve (AUC) of 0.738. Optimization of multi-miRNA panels resulted in a 6-miRNA biomarker panel (hsa-miR-375, hsa-miR-520d-5p, hsa-miR-199b-5p, hsa-miR-518e-5p, hsa-miR-31-3p and hsa-miR-4306) that had an AUC of 0.750. Conclusion: We identified a urinary miRNA biomarker panel for early detection of PCa in a Chinese population.
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Affiliation(s)
- Nan Zhan
- The second Affiliated Hospital of Medical College of Zhejiang University, No. 88 Jiefang Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Jianfeng Wang
- Hangzhou Ninth People's Hospital, No. 98 Yilong Road, Yipeng Street, Qiantang District, Hangzhou, Zhejiang, China
| | - Shigeng Zhang
- The second Affiliated Hospital of Medical College of Zhejiang University, No. 88 Jiefang Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Huifeng Wu
- The second Affiliated Hospital of Medical College of Zhejiang University, No. 88 Jiefang Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Zhongyi Li
- The second Affiliated Hospital of Medical College of Zhejiang University, No. 88 Jiefang Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Maolin Hu
- The second Affiliated Hospital of Medical College of Zhejiang University, No. 88 Jiefang Road, Shangcheng District, Hangzhou, Zhejiang, China
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28
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Extracellular Vesicles as Biomarkers in Head and Neck Squamous Cell Carcinoma: From Diagnosis to Disease-Free Survival. Cancers (Basel) 2023; 15:cancers15061826. [PMID: 36980712 PMCID: PMC10046514 DOI: 10.3390/cancers15061826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 03/14/2023] [Accepted: 03/15/2023] [Indexed: 03/22/2023] Open
Abstract
Head and neck squamous cell carcinomas (HNSCCs) arising from different anatomical sites present with different incidences and characteristics, which requires a personalized treatment strategy. Despite the extensive research that has conducted on this malignancy, HNSCC still has a poor overall survival rate. Many attempts have been made to improve the outcomes, but one of the bottlenecks is thought to be the lack of an effective biomarker with high sensitivity and specificity. Extracellular vesicles (EVs) are secreted by various cells and participate in a great number of intercellular communications. Based on liquid biopsy, EV detection in several biofluids, such as blood, saliva, and urine, has been applied to identify the existence and progression of a variety of cancers. In HNSCC, tumor-derived EVs exhibit many functionalities by transporting diverse cargoes, which highlights their importance in tumor screening, the determination of multidisciplinary therapy, prediction of prognosis, and evaluation of therapeutic effects. This review illustrates the classification and formation of EV subtypes, the cargoes conveyed by these vesicles, and their respective functions in HNSCC cancer biology, and discloses their potential as biomarkers during the whole process of tumor diagnosis, treatment, and follow-up.
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29
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Kitata RB, Hu LY, Lin TT, Nicora CD, Fillmore TL, Nie S, Hudson RD, Liu T, Leach RJ, Liu AY, Qian WJ, Shi T. Targeted Mass Spectrometry Assays for Specific Quantification of Urinary proPSA Isoforms. J Proteome Res 2023; 22:942-950. [PMID: 36626706 PMCID: PMC10072162 DOI: 10.1021/acs.jproteome.2c00745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Prostate cancer (PCa) is the second leading cause of male cancer-related deaths in the United States. The pre-mature forms of prostate-specific antigen (PSA), proPSA, were shown to be associated with PCa. However, there is a technical challenge in the development of antibody-based immunoassays for specific recognition of each individual proPSA isoform. Herein, we report the development of highly specific, antibody-free, targeted mass spectrometry assays for simultaneous quantification of [-2], [-4], [-5], and [-7] proPSA isoforms in voided urine. The newly developed proPSA assays capitalize on Lys-C digestion to generate surrogate peptides with appropriate length (9-16 amino acids) along with long-gradient liquid chromatography separation. The assay utility of these isoform markers was evaluated in a cohort of 30 well-established clinical urine samples for distinguishing PCa patients from healthy controls. Under the 95% confidence interval, the combination of [-2] and [-4] proPSA isoforms yields the area under curve (AUC) of 0.86, and the AUC value for the combined all four isoforms was calculated to be 0.85. We have further verified [-2]proPSA, the dominant isoform, in an independent cohort of 34 clinical urine samples. Validation of proPSA isoforms in large-scale cohorts is needed to demonstrate their potential clinical utility.
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Affiliation(s)
- Reta Birhanu Kitata
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Lisa Y Hu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Tai-Tu Lin
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Carrie D Nicora
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Thomas L Fillmore
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Song Nie
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Robert D Hudson
- Department of Urology and the Cancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78229, United States
| | - Tao Liu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Robin J Leach
- Department of Urology and the Cancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78229, United States
| | - Alvin Y Liu
- Department of Urology, University of Washington, Seattle, Washington 98915, United States.,Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, Washington 98915, United States
| | - Wei-Jun Qian
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Tujin Shi
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
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Emerging RNA-Based Therapeutic and Diagnostic Options: Recent Advances and Future Challenges in Genitourinary Cancers. Int J Mol Sci 2023; 24:ijms24054601. [PMID: 36902032 PMCID: PMC10003365 DOI: 10.3390/ijms24054601] [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: 12/01/2022] [Revised: 02/15/2023] [Accepted: 02/23/2023] [Indexed: 03/02/2023] Open
Abstract
Renal cell carcinoma, bladder cancer, and prostate cancer are the most widespread genitourinary tumors. Their treatment and diagnosis have significantly evolved over recent years, due to an increasing understanding of oncogenic factors and the molecular mechanisms involved. Using sophisticated genome sequencing technologies, the non-coding RNAs, such as microRNAs, long non-coding RNAs, and circular RNAs, have all been implicated in the occurrence and progression of genitourinary cancers. Interestingly, DNA, protein, and RNA interactions with lncRNAs and other biological macromolecules drive some of these cancer phenotypes. Studies on the molecular mechanisms of lncRNAs have identified new functional markers that could be potentially useful as biomarkers for effective diagnosis and/or as targets for therapeutic intervention. This review focuses on the mechanisms underlying abnormal lncRNA expression in genitourinary tumors and discusses their role in diagnostics, prognosis, and treatment.
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31
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Liao C, Wu Z, Lin C, Chen X, Zou Y, Zhao W, Li X, Huang G, Xu B, Briganti GE, Qi Y, Wang X, Zeng T, Wuethrich A, Zou H. Nurturing the marriages of urinary liquid biopsies and nano-diagnostics for precision urinalysis of prostate cancer. SMART MEDICINE 2023; 2:e20220020. [PMID: 39188554 PMCID: PMC11236013 DOI: 10.1002/smmd.20220020] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 11/04/2022] [Indexed: 08/28/2024]
Abstract
Prostate cancer remains the second-most common cancer diagnosed in men, despite the increasingly widespread use of serum prostate-specific antigen (PSA) screening. The controversial clinical implications and cost benefits of PSA screening have been highlighted due to its poor specificity, resulting in a high rate of overdiagnosis and underdiagnosis. Thus, the development of novel biomarkers for prostate cancer detection remains an intriguing challenge. Urine is emerging as a source for prostate cancer biomarker discovery. Currently, new urine biomarkers already outperform serum PSA in clinical diagnosis. Meanwhile, the advances in nanotechnology have provided a suite of diagnostic tools to study prostate cancer in more detail, sparking a new era of biomarker discoveries. In this review, we envision that future prostate cancer diagnosis will probably integrate multiplex nano-diagnostic approaches to detect novel urinary biomarkers. However, challenges remain in differentiating indolent from aggressive cancers to better inform treatment decisions, and clinical translation still needs to be overcome.
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Affiliation(s)
- Caizhi Liao
- Creative Biosciences (Guangzhou) Co., LtdGuangzhouChina
| | - Zhihao Wu
- Creative Biosciences (Guangzhou) Co., LtdGuangzhouChina
| | - Chan Lin
- Creative Biosciences (Guangzhou) Co., LtdGuangzhouChina
| | - Xiaofeng Chen
- School of Environmental and Geographical SciencesShanghai Normal UniversityShanghaiChina
- School of ChemistryNorthwestern UniversityChicagoIllinoisUSA
| | - Yaqun Zou
- Creative Biosciences (Guangzhou) Co., LtdGuangzhouChina
| | - Wan Zhao
- Creative Biosciences (Guangzhou) Co., LtdGuangzhouChina
| | - Xin Li
- Department of UrologySir Run Run Shaw HospitalZhejiang UniversityHangzhouChina
| | | | - Baisheng Xu
- Department of UrologyThe First People's Hospital of XiushuiJiujiangChina
| | | | - Yan Qi
- Creative Biosciences (Guangzhou) Co., LtdGuangzhouChina
| | - Xianshu Wang
- Creative Biosciences (Guangzhou) Co., LtdGuangzhouChina
| | - Tao Zeng
- Department of Urologythe Second Affiliated Hospital of Nanchang UniversityNanchangChina
| | - Alain Wuethrich
- Centre for Personalised Nanomedicine, Australian Institute for Bioengineering and Nanotechnology, The University of QueenslandBrisbaneQueenslandAustralia
| | - Hongzhi Zou
- Creative Biosciences (Guangzhou) Co., LtdGuangzhouChina
- The Sixth Affiliated HospitalSun Yat‐sen UniversityGuangzhouChina
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32
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Liu P, Wang W, Wang F, Fan J, Guo J, Wu T, Lu D, Zhou Q, Liu Z, Wang Y, Shang Z, Chan FL, Yang W, Li X, Zhao SC, Zheng Q, Wang F, Wu D. Alterations of plasma exosomal proteins and motabolies are associated with the progression of castration-resistant prostate cancer. J Transl Med 2023; 21:40. [PMID: 36681849 PMCID: PMC9867857 DOI: 10.1186/s12967-022-03860-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 12/28/2022] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Current diagnosis tools for prostate cancer (PCa) such as serum PSA detection and prostate biopsy cannot distinguish dormant tumors from invasive malignancies, either be used as prognosis marker for castration resistant prostate cancer (CRPC), the lethal stage of PCa patients. Exosomes have been widely investigated as promising biomarkers for various diseases. We aim to characterize the proteomic and metabolomic profile of exosomes and to evaluate their potential value for the diagnosis of PCa, especially CRPC. We also investigate the functions of some specific exosome biomarkers in the progression of CRPC. METHODS Integrated proteomics and metabolomics analysis were performed for plasma-derived exosomes collected from tumor-free controls (TFC), PCa and CRPC patients. Expression of specific exosomal proteins were further validated by targeted 4D-parallel reaction monitoring (PRM) mass spectrometry among the three cohorts. Tissue distribution and functional role of exosomal protein LRG1 was studied in clinical PCa tissue samples and cell line models. RESULTS Three potential exosomal protein markers were identified. The apolipoprotein E level in PCa samples was 1.7-fold higher than that in TFC (receiver operating characteristic value, 0.74). Similarly, the levels of exosome-derived leucine-rich alpha2-glycoprotein 1 (LRG1) and inter-alpha-trypsin inhibitor heavy chain H3 (ITIH3) in the CRPC group were 1.7 and 2.04 times, respectively, higher than those in the PCa group (ROC values, 0.84 and 0.85, respectively), indicating that LRG1 and ITIH3 could serve as predictive markers for CRPC. For metabolomic evaluation of exosomes, a series of differentially expressed metabolites were identified, and a combined metabolite panel showed ROC value of 0.94 for distinguishing PCa from TFC and 0.97 for distinguishing CRPC from PCa. Immunohistochemistry of tissue microarray showed that LRG1 protein was significantly upregulated in advanced prostate cancer and functional assay revealed that ectopic expression of LRG1 can significantly enhance the malignant phenotype of prostate cancer cells. More importantly, PCa cell derived LRG1-overexpressed exosomes remarkably promoted angiogenesis. CONCLUSION Integration of proteomics and metabolomics data generated proteomic and metabolic signatures of plasma exosomes that may facilitate discrimination of CRPC from PCa and TFC patients, suggesting the potential of exosomal proteins and metabolites as CRPC markers. The study also confirmed the important role of exosomal protein LRG1 in PCa malignant progression.
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Affiliation(s)
- Pengyu Liu
- Shenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Center (CIRC), Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong Province, China
- Department of Medical Genetics and Developmental Biology, School of Medicine, Southeast University, Nanjing, China
| | - Wenxuan Wang
- Department of Urology, Guangdong Hospital of Traditional Chinese Medicine, Zhuhai, Guangdong Province, 519015, China
| | - Fei Wang
- Shenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Center (CIRC), Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong Province, China
| | - Jiaqi Fan
- Shenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Center (CIRC), Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong Province, China
| | - Jinan Guo
- Department of Urology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong Province, China
| | - Tao Wu
- Department of Urology, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong Province, China
| | - Dongliang Lu
- Department of Urology, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong Province, China
| | - Qingchun Zhou
- Department of Urology, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong Province, China
| | - Zhuohao Liu
- Shenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Center (CIRC), Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong Province, China
| | - Yuliang Wang
- Shenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Center (CIRC), Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong Province, China
| | - Zhiqun Shang
- Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China
| | - Franky Leung Chan
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, SAR, China
| | - Wei Yang
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
- Department of Endocrinology and Metabolism, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China
| | - Xin Li
- Shenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Center (CIRC), Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong Province, China
| | - Shan-Chao Zhao
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, 510500, China.
- Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Qingyou Zheng
- Department of Urology, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong Province, China.
| | - Fei Wang
- Department of Urology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, China.
| | - Dinglan Wu
- Shenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Center (CIRC), Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong Province, China.
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Su Y, Li C, Fang Y, Gu X, Zheng Q, Lu J, Li L. The role of LncRNA LBX2-AS1 in cancers: functions, mechanisms and potential clinical utility. Clin Transl Oncol 2023; 25:293-305. [PMID: 36131071 PMCID: PMC9873731 DOI: 10.1007/s12094-022-02944-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 08/30/2022] [Indexed: 01/29/2023]
Abstract
Increasingly advanced biology technique has revealed that long non-coding RNAs (lncRNA) as critical factors that exert significant regulatory effects on biological functions by modulating gene transcription, epigenetic modifications and protein translation. A newly emerging lncRNA, ladybird homeobox 2 (LBX2)-antisense RNA 1 (LBX2-AS1), was found to be highly expressed in various tumors. Moreover, it is functionally linked to the regulation of essential tumor-related biological processes, such as cell proliferation and apoptosis, through interactions with multiple signaling molecules/pathways. The important roles played by LBX2-AS1 in cancer initiation and progression suggest that this lncRNA has enormous clinical potential for use as a novel biomarker or therapeutic target. In this article, we retrospectively review the latest advances in research exploring the roles of the lncRNA LBX2-AS1 in oncology field, highlighting its involvement in a comprehensive network of molecular mechanisms underlying diverse cancers and examining its potential applications in clinical practice.
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Affiliation(s)
- Yuanshuai Su
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Shangcheng District, Hangzhou, 310003, Zhejiang, China
| | - Chengzhi Li
- Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China
| | - Yu Fang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Shangcheng District, Hangzhou, 310003, Zhejiang, China
| | - Xinyu Gu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Shangcheng District, Hangzhou, 310003, Zhejiang, China
| | - Qiuxian Zheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Shangcheng District, Hangzhou, 310003, Zhejiang, China
| | - Juan Lu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Shangcheng District, Hangzhou, 310003, Zhejiang, China.
| | - Lanjuan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Shangcheng District, Hangzhou, 310003, Zhejiang, China.
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Eickelschulte S, Riediger AL, Angeles AK, Janke F, Duensing S, Sültmann H, Görtz M. Biomarkers for the Detection and Risk Stratification of Aggressive Prostate Cancer. Cancers (Basel) 2022; 14:cancers14246094. [PMID: 36551580 PMCID: PMC9777028 DOI: 10.3390/cancers14246094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/05/2022] [Accepted: 12/09/2022] [Indexed: 12/14/2022] Open
Abstract
Current strategies for the clinical management of prostate cancer are inadequate for a precise risk stratification between indolent and aggressive tumors. Recently developed tissue-based molecular biomarkers have refined the risk assessment of the disease. The characterization of tissue biopsy components and subsequent identification of relevant tissue-based molecular alterations have the potential to improve the clinical decision making and patient outcomes. However, tissue biopsies are invasive and spatially restricted due to tumor heterogeneity. Therefore, there is an urgent need for complementary diagnostic and prognostic options. Liquid biopsy approaches are minimally invasive with potential utility for the early detection, risk stratification, and monitoring of tumors. In this review, we focus on tissue and liquid biopsy biomarkers for early diagnosis and risk stratification of prostate cancer, including modifications on the genomic, epigenomic, transcriptomic, and proteomic levels. High-risk molecular alterations combined with orthogonal clinical parameters can improve the identification of aggressive tumors and increase patient survival.
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Affiliation(s)
- Samaneh Eickelschulte
- Junior Clinical Cooperation Unit, Multiparametric Methods for Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Department of Urology, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany
| | - Anja Lisa Riediger
- Junior Clinical Cooperation Unit, Multiparametric Methods for Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Department of Urology, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Arlou Kristina Angeles
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany
| | - Florian Janke
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany
| | - Stefan Duensing
- Molecular Urooncology, Department of Urology, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Holger Sültmann
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany
- German Cancer Consortium (DKTK), 69120 Heidelberg, Germany
| | - Magdalena Görtz
- Junior Clinical Cooperation Unit, Multiparametric Methods for Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Department of Urology, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Correspondence: ; Tel.: +49-6221-42-2603
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Bilal M, Javaid A, Amjad F, Youssif TA, Afzal S. An overview of prostate cancer (PCa) diagnosis: Potential role of miRNAs. Transl Oncol 2022; 26:101542. [PMID: 36148731 PMCID: PMC9493385 DOI: 10.1016/j.tranon.2022.101542] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 08/18/2022] [Accepted: 09/07/2022] [Indexed: 12/15/2022] Open
Abstract
Prostate cancer is the second most frequently diagnosed cancer among men worldwide, with the estimated sixth leading cause of cancer death. Despite major advancements in clinical biology and imaging, digital rectal examination (DRE), prostate-specific antigen (PSA), and biopsies indication remain the keystone for screening. Several kits are used to detect genomic changes and non-coding RNAs in the sample. However, its indication remains controversial for screening purposes. There is an urged need for non-invasive biomarkers to implement precision medicine. Recent research shows that miRNAs have an important role in the diagnostic, prognostic, and therapeutic agents as non-invasive biomarkers. Though prostate cancer data remains controversial in other cancer types, such as breast cancer, miR-21 expression is upregulated. Here, we reported a prolonged revision of miRNAs as prostate cancer prognostic, diagnostic, and predictive tools, including data on androgen receptor (AR) signaling, epithelial-mesenchymal transition (EMT) process, and cancer stem cells (CSCs) regulation. The combined utilization of miRNAs with other tests will help patients and clinicians to select the most appropriate personalized treatment and to avoid overdiagnosis and unnecessary biopsies. Future clinical applications of our reported novel miRNAs have a substantial role in the primary diagnosis of prostate cancer to help treatment decisions.
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Affiliation(s)
- Muhammad Bilal
- Department of Biotechnology, Graduate School of Engineering, Osaka University, Suita, Japan; SANKEN (The Institute of Scientific and Industrial Research), Osaka University, Ibaraki, Japan
| | - Aqsa Javaid
- Center of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan
| | - Farhat Amjad
- Quaid-e-Azam Medical College, Bahawalpur, Pakistan
| | | | - Samia Afzal
- Center of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
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Tan J, Li X, Zhang L, Du Z. Recent advances in machine learning methods for predicting LncRNA and disease associations. Front Cell Infect Microbiol 2022; 12:1071972. [PMID: 36530425 PMCID: PMC9748103 DOI: 10.3389/fcimb.2022.1071972] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 11/11/2022] [Indexed: 12/03/2022] Open
Abstract
Long non-coding RNAs (lncRNAs) are involved in almost the entire cell life cycle through different mechanisms and play an important role in many key biological processes. Mutations and dysregulation of lncRNAs have been implicated in many complex human diseases. Therefore, identifying the relationship between lncRNAs and diseases not only contributes to biologists' understanding of disease mechanisms, but also provides new ideas and solutions for disease diagnosis, treatment, prognosis and prevention. Since the existing experimental methods for predicting lncRNA-disease associations (LDAs) are expensive and time consuming, machine learning methods for predicting lncRNA-disease associations have become increasingly popular among researchers. In this review, we summarize some of the human diseases studied by LDAs prediction models, association and similarity features of LDAs prediction, performance evaluation methods of models and some advanced machine learning prediction models of LDAs. Finally, we discuss the potential limitations of machine learning-based methods for LDAs prediction and provide some ideas for designing new prediction models.
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37
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Urinary PCA3 a Superior Diagnostic Biomarker for Prostate Cancer among Ghanaian Men. DISEASE MARKERS 2022; 2022:1686991. [PMID: 36246565 PMCID: PMC9568348 DOI: 10.1155/2022/1686991] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Accepted: 09/19/2022] [Indexed: 11/17/2022]
Abstract
Introduction. Prostate cancer is one of the most commonly diagnosed cancers in men. Prostate-specific antigen (PSA) has been the biomarker of choice for screening and diagnosis of prostate cancer. However, inefficiencies exist with its diagnostic capabilities. This study thus evaluated the diagnostic and prognostic potential of urinary PCA3 as an alternative biomarker for prostate cancer in the Ghanaian population. Methods. A hospital-based cross-sectional study was conducted at the Urology Department of the 37 Military Hospital, Accra, Ghana. A total of 237 participants aged 40 years and above with any form of suspected prostate disorder were recruited into the study after written informed consent was obtained. Total serum PSA levels was measured using the electrochemiluminescence method and transrectal ultrasound-guided systematic core needle biopsies were obtained from each study participant. Receiver operating characteristic curve (ROC) analysis was used to evaluate the diagnostic accuracies of serum PSA, DRE, and PCA3 as diagnostic tools for prostate cancer. These three diagnostic tools were also evaluated in various combinations to ascertain the combinations with the best diagnostic accuracy. Results. Prostate cancer was diagnosed in 26.6% of the participants. Benign prostate hyperplasia and prostatitis were diagnosed in 48.5% and 24.9% participants, respectively. DRE had a sensitivity of 93.7% and a specificity of 12.1%. PSA had a sensitivity of 92.1% and a specificity of 16.1%. PCA3 had a sensitivity of 57.1% and a specificity of 85.6% and showed a better accuracy (
) compared to PSA (
) and DRE (
) as individual diagnostic tools. The combination of DRE+PCA3 score had the best diagnostic accuracy (
) with a sensitivity and specificity of 60.3% and 80.5%, respectively. Conclusion. The urinary PCA3 assay showed a better diagnostic performance compared to serum PSA and DRE. PCA3 as a stand-alone and in combination with DRE could be a suitable complimentary marker in diagnosis and management of prostate cancer.
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38
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Shah UJ, Alsulimani A, Ahmad F, Mathkor DM, Alsaieedi A, Harakeh S, Nasiruddin M, Haque S. Bioplatforms in liquid biopsy: advances in the techniques for isolation, characterization and clinical applications. Biotechnol Genet Eng Rev 2022; 38:339-383. [PMID: 35968863 DOI: 10.1080/02648725.2022.2108994] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Tissue biopsy analysis has conventionally been the gold standard for cancer prognosis, diagnosis and prediction of responses/resistances to treatments. The existing biopsy procedures used in clinical practice are, however, invasive, painful and often associated with pitfalls like poor recovery of tumor cells and infeasibility for repetition in single patients. To circumvent these limitations, alternative non-invasive, rapid and economical, yet sturdy, consistent and dependable, biopsy techniques are required. Liquid biopsy is an emerging technology that fulfills these criteria and potentially much more in terms of subject-specific real-time monitoring of cancer progression, determination of tumor heterogeneity and treatment responses, and specific identification of the type and stages of cancers. The present review first briefly revisits the state-of-the-art technique of liquid biopsy and then proceeds to address in detail, the advances in the potential clinical applications of four major biological agencies present in liquid biopsy samples (circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), exosomes and tumor-educated platelets (TEPs)). Finally, the authors conclude with the limitations that need to be addressed in order for liquid biopsy to effectively replace the conventional invasive biopsy methods in the clinical settings.
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Affiliation(s)
- Ushma Jaykamal Shah
- MedGenome Labs Ltd, Kailash Cancer Hospital and Research Center, Vadodara, India
| | - Ahmad Alsulimani
- Medical Laboratory Technology Department, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Faraz Ahmad
- Department of Biotechnology, School of Bio Sciences and Technology (SBST), Vellore Institute of Technology, Vellore, India
| | - Darin Mansor Mathkor
- Research and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
| | - Ahdab Alsaieedi
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.,Vaccines and Immunotherapy Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Steve Harakeh
- King Fahd Medical Research Center, and Yousef Abdullatif Jameel Chair of Prophetic Medicine Application, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Mohammad Nasiruddin
- MedGenome Labs Ltd, Narayana Health City, Bangalore, India.,Genomics Lab, Orbito Asia Diagnostics, Coimbatore, India
| | - Shafiul Haque
- Research and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
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HSP27/Menin Expression as New Prognostic Serum Biomarkers of Prostate Cancer Aggressiveness Independent of PSA. Cancers (Basel) 2022; 14:cancers14194773. [PMID: 36230697 PMCID: PMC9562023 DOI: 10.3390/cancers14194773] [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] [Received: 07/20/2022] [Revised: 08/24/2022] [Accepted: 09/23/2022] [Indexed: 11/16/2022] Open
Abstract
The screening of PCa is based on two tests, the total PSA test and the rectal examination. However, PSA is not specific for PCa stage confirmation, leading in false positive result and involving PCa over-diagnosis and over-treatment. HSP27 and Menin have been found to be overexpressed in a wide range of human cancers. Recent studies showed how HSP27 interacts with and stabilizes Menin to lead PCa progression and treatment resistance. The purpose of our study was to evaluate the correlation of HSP27 and Menin molecular expression, and their prognosis value in PCa with respect to clinicopathological features. Elisa was employed to measure serum HSP27 and Menin concentrations in 73 PCa patients and 80 healthy individuals. Immunohistochemistry (IHC) was used to determine HSP27 and Menin tissue expression in 57 tumors and 4 Benign Prostatic Hyperplasia (BPH) tissues. Serum HSP27 expression correlated with its tissue expression in all PCa patients, whereas serum Menin expression correlated only with tissue expression in aggressive PCa patients. Moreover, the results showed a positive correlation between HSP27 and Menin either in serum (r = 0.269; p = 0.021) or in tissue (r = 0.561; p < 0.0001). In aggressive PCa, serum expression of HSP27 and Menin was positively correlated (r = 0.664; R = 0.441; p = 0.001). The correlation between HSP27 and Menin expression in tissue was found only in patients with aggressive PCa (r = 0.606; R = 0.367; p = 0.004). Statistical analysis showed that the expression of both biomarkers was positively correlated with the hormone resistance or sensitivity, tumor aggressiveness, metastasis, Gleason Score, death and did not significantly correlate with age and PSA. Survival was illustrated by Kaplan−Meier curves; increased HSP27 and Menin expression correlated with shorter survival of PCa patients (p = 0.001 and p < 0.0001, respectively). Accuracy in predicting aggressiveness was quantified by the Area Under the Curve (AUC) of Receiver Operating Characteristic (ROC). We demonstrated that the combination of HSP27/Menin was statistically greater than PSA; it achieved an AUC of 0.824 (95% CI, 0.730−0.918; p < 0.0001). However, HSP27/Menin/PSA combination decreased the diagnostic value with an AUC of 0.569 (95% CI, 0.428−0.710; p = 0.645). Our work suggests the potential role of HSP27/Menin as diagnostic and prognostic biomarkers.
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Dhanapala L, Joseph S, Jones AL, Moghaddam S, Lee N, Kremer RB, Rusling JF. Immunoarray Measurements of Parathyroid Hormone-Related Peptides Combined with Other Biomarkers to Diagnose Aggressive Prostate Cancer. Anal Chem 2022; 94:12788-12797. [PMID: 36074029 DOI: 10.1021/acs.analchem.2c02648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Parathyroid hormone-related peptide (PTHrP) is related to bone metastasis and hypercalcemia in prostate and breast cancers and should be an excellent biomarker for aggressive forms of these cancers. Current clinical detection protocols for PTHrP are immunoradiometric assay and radioimmunoassay but are not sensitive enough to detect PTHrPs at early stages. We recently evaluated a prostate cancer biomarker panel, including serum monocyte differentiation antigen (CD-14), ETS-related gene protein, pigment epithelial-derived factor, and insulin-like growth factor-1, with promise for identifying aggressive prostate cancers. This panel predicted the need for patient biopsy better than PSA alone. In the present paper, we report an ultrasensitive microfluidic assay for PTHrPs and evaluate their diagnostic value and the value of including them with our prior biomarker panel to diagnose aggressive forms of prostate cancer. The immunoarray features screen-printed carbon sensor electrodes coated with 5 nm glutathione gold nanoparticles with capture antibodies attached. PTHrPs are bound to a secondary antibody attached to a polyhorseradish peroxidase label and delivered to the sensors to provide high sensitivity when activated by H2O2 and a mediator. We obtained an unprecedented 0.3 fg mL-1 limit of detection for PTHrP bioactive moieties PTHrP 1-173 and PTHrP 1-86. We also report the first study of PTHrPs in a large serum pool to identify aggressive malignancies. In assays of 130 human patient serum samples, PTHrP levels distinguished between aggressive and indolent prostate cancers with 83-91% clinical sensitivity and 78-96% specificity. Logistic regression identified the best predictive model as a combination of PTHrP 1-86 and vascular endothelial growth factor-D. PTHrP 1-173 alone also showed a high ability to differentiate aggressive and indolent cancers.
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Affiliation(s)
- Lasangi Dhanapala
- Department of Chemistry, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Sophie Joseph
- Department of Chemistry, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Abby L Jones
- Department of Chemistry, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Shirin Moghaddam
- Department of Mathematics and Statistics (MACSI), University of Limerick, Limerick V94 T9PX, Ireland
| | - Norman Lee
- Department of Pharmacology and Physiology, George Washington University, 2300 I Street, NW, Washington, Washington, District of Columbia 20037, United States.,George Washington University Cancer Center, 800 22nd Street, NW, Washington, Washington, District of Columbia 20052, United States
| | - Richard B Kremer
- Department of Medicine, McGill University Health Centre, 1001 Decarie Blvd., Montreal QC H4A, Canada
| | - James F Rusling
- Department of Chemistry, University of Connecticut, Storrs, Connecticut 06269, United States.,Department of Surgery and Neag Cancer Center, UConn Health, Farmington, Connecticut 06232, United States.,School of Chemistry, National University of Ireland Galway, Galway H91 TK33, Ireland.,Institute of Materials Science, University of Connecticut, 97 N. Eagleville Road, Storrs, Connecticut 06269, United States
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Milligan K, Deng X, Ali-Adeeb R, Shreeves P, Punch S, Costie N, Crook JM, Brolo AG, Lum JJ, Andrews JL, Jirasek A. Prediction of disease progression indicators in prostate cancer patients receiving HDR-brachytherapy using Raman spectroscopy and semi-supervised learning: a pilot study. Sci Rep 2022; 12:15104. [PMID: 36068275 PMCID: PMC9448740 DOI: 10.1038/s41598-022-19446-4] [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: 04/22/2022] [Accepted: 08/29/2022] [Indexed: 11/09/2022] Open
Abstract
This work combines Raman spectroscopy (RS) with supervised learning methods-group and basis restricted non-negative matrix factorisation (GBR-NMF) and linear discriminant analysis (LDA)-to aid in the prediction of clinical indicators of disease progression in a cohort of 9 patients receiving high dose rate brachytherapy (HDR-BT) as the primary treatment for intermediate risk (D'Amico) prostate adenocarcinoma. The combination of Raman spectroscopy and GBR-NMF-sparseLDA modelling allowed for the prediction of the following clinical information; Gleason score, cancer of the prostate risk assessment (CAPRA) score of pre-treatment biopsies and a Ki67 score of < 3.5% or > 3.5% in post treatment biopsies. The three clinical indicators of disease progression investigated in this study were predicted using a single set of Raman spectral data acquired from each individual biopsy, obtained pre HDR-BT treatment. This work highlights the potential of RS, combined with supervised learning, as a tool for the prediction of multiple types of clinically relevant information to be acquired simultaneously using pre-treatment biopsies, therefore opening up the potential for avoiding the need for multiple immunohistochemistry (IHC) staining procedures (H&E, Ki67) and blood sample analysis (PSA) to aid in CAPRA scoring.
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Affiliation(s)
- Kirsty Milligan
- Department of Physics, University of British Columbia, Kelowna, BC, Canada
| | - Xinchen Deng
- Department of Physics, University of British Columbia, Kelowna, BC, Canada
| | - Ramie Ali-Adeeb
- Department of Physics, University of British Columbia, Kelowna, BC, Canada
| | - Phillip Shreeves
- Department of Statistics, University of British Columbia, Kelowna, Canada
| | - Samantha Punch
- Trev and Joyce Deeley Research Centre, BC Cancer, Victoria, BC, Canada
| | - Nathalie Costie
- Trev and Joyce Deeley Research Centre, BC Cancer, Victoria, BC, Canada
| | - Juanita M Crook
- Department of Radiation Oncology, University of British Columbia, Kelowna, BC, Canada
| | - Alexandre G Brolo
- Department of Chemistry, University of Victoria, British Columbia, Canada
| | - Julian J Lum
- Trev and Joyce Deeley Research Centre, BC Cancer, Victoria, BC, Canada.,Department of Biochemistry and Microbiology, University of Victoria, Victoria, Canada
| | - Jeffrey L Andrews
- Department of Statistics, University of British Columbia, Kelowna, Canada
| | - Andrew Jirasek
- Department of Physics, University of British Columbia, Kelowna, BC, Canada.
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42
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Einoch Amor R, Zinger A, Broza YY, Schroeder A, Haick H. Artificially Intelligent Nanoarray Detects Various Cancers by Liquid Biopsy of Volatile Markers. Adv Healthc Mater 2022; 11:e2200356. [PMID: 35765713 DOI: 10.1002/adhm.202200356] [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: 02/14/2022] [Revised: 05/24/2022] [Indexed: 01/27/2023]
Abstract
Cancer is usually not symptomatic in its early stages. However, early detection can vastly improve prognosis. Liquid biopsy holds great promise for early detection, although it still suffers from many disadvantages, mainly searching for specific cancer biomarkers. Here, a new approach for liquid biopsies is proposed, based on volatile organic compound (VOC) patterns in the blood headspace. An artificial intelligence nanoarray based on a varied set of chemi-sensitive nano-based structured films is developed and used to detect and stage cancer. As a proof-of-concept, three cancer models are tested showing high incidence and mortality rates in the population: breast cancer, ovarian cancer, and pancreatic cancer. The nanoarray has >84% accuracy, >81% sensitivity, and >80% specificity for early detection and >97% accuracy, 100% sensitivity, and >88% specificity for metastasis detection. Complementary mass spectrometry analysis validates these results. The ability to analyze such a complex biological fluid as blood, while considering data of many VOCs at a time using the artificially intelligent nanoarray, increases the sensitivity of predictive models and leads to a potential efficient early diagnosis and disease-monitoring tool for cancer.
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Affiliation(s)
- Reef Einoch Amor
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Assaf Zinger
- Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Yoav Y Broza
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Avi Schroeder
- Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Hossam Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
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43
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Meade W, Weber A, Phan T, Hampston E, Resa LF, Nagy J, Kuang Y. High Accuracy Indicators of Androgen Suppression Therapy Failure for Prostate Cancer-A Modeling Study. Cancers (Basel) 2022; 14:cancers14164033. [PMID: 36011026 PMCID: PMC9406554 DOI: 10.3390/cancers14164033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/13/2022] [Accepted: 08/18/2022] [Indexed: 11/23/2022] Open
Abstract
Simple Summary Hormonal therapy for prostate cancer is often applied past the point of resistance, hence losing any future clinical value to the evolution of resistant strains. If the undesirable outcome of the treatment is forewarned, then clinicians can have an opportunity to adjust the treatment, which can result in better management of the cancer. Using a mechanistic mathematical model, we introduce two methods to enhance the accuracy of classical biomarkers for hormonal therapy failure. Our results show the value in measuring both prostate-specific antigen and androgen during hormonal treatment, which can potentially allow for better management of prostate cancer. Abstract Prostate cancer is a serious public health concern in the United States. The primary obstacle to effective long-term management for prostate cancer patients is the eventual development of treatment resistance. Due to the uniquely chaotic nature of the neoplastic genome, it is difficult to determine the evolution of tumor composition over the course of treatment. Hence, a drug is often applied continuously past the point of effectiveness, thereby losing any potential treatment combination with that drug permanently to resistance. If a clinician is aware of the timing of resistance to a particular drug, then they may have a crucial opportunity to adjust the treatment to retain the drug’s usefulness in a potential treatment combination or strategy. In this study, we investigate new methods of predicting treatment failure due to treatment resistance using a novel mechanistic model built on an evolutionary interpretation of Droop cell quota theory. We analyze our proposed methods using patient PSA and androgen data from a clinical trial of intermittent treatment with androgen deprivation therapy. Our results produce two indicators of treatment failure. The first indicator, proposed from the evolutionary nature of the cancer population, is calculated using our mathematical model with a predictive accuracy of 87.3% (sensitivity: 96.1%, specificity: 65%). The second indicator, conjectured from the implication of the first indicator, is calculated directly from serum androgen and PSA data with a predictive accuracy of 88.7% (sensitivity: 90.2%, specificity: 85%). Our results demonstrate the potential and feasibility of using an evolutionary tumor dynamics model in combination with the appropriate data to aid in the adaptive management of prostate cancer.
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Affiliation(s)
- William Meade
- School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Allison Weber
- School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85281, USA
- College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Tin Phan
- Theoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
| | - Emily Hampston
- Department of Mathematics, State University of New York, Buffalo, NY 14260, USA
| | - Laura Figueroa Resa
- School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - John Nagy
- School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85281, USA
- Department of Life Sciences, Scottsdale Community College, Scottsdale, AZ 85256, USA
| | - Yang Kuang
- School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85281, USA
- Correspondence:
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Prostate Cancer Secretome and Membrane Proteome from Pten Conditional Knockout Mice Identify Potential Biomarkers for Disease Progression. Int J Mol Sci 2022; 23:ijms23169224. [PMID: 36012492 PMCID: PMC9409251 DOI: 10.3390/ijms23169224] [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: 07/19/2022] [Revised: 08/10/2022] [Accepted: 08/12/2022] [Indexed: 12/24/2022] Open
Abstract
Prostate cancer (PCa) is the second most common cause of mortality among men. Tumor secretome is a promising strategy for understanding the biology of tumor cells and providing markers for disease progression and patient outcomes. Here, transcriptomic-based secretome analysis was performed on the PCa tumor transcriptome of Genetically Engineered Mouse Model (GEMM) Pb-Cre4/Ptenf/f mice to identify potentially secreted and membrane proteins—PSPs and PMPs. We combined a selection of transcripts from the GSE 94574 dataset and a list of protein-coding genes of the secretome and membrane proteome datasets using the Human Protein Atlas Secretome. Notably, nine deregulated PMPs and PSPs were identified in PCa (DMPK, PLN, KCNQ5, KCNQ4, MYOC, WIF1, BMP7, F3, and MUC1). We verified the gene expression patterns of Differentially Expressed Genes (DEGs) in normal and tumoral human samples using the GEPIA tool. DMPK, KCNQ4, and WIF1 targets were downregulated in PCa samples and in the GSE dataset. A significant association between shorter survival and KCNQ4, PLN, WIF1, and F3 expression was detected in the MSKCC dataset. We further identified six validated miRNAs (mmu-miR-6962-3p, mmu-miR- 6989-3p, mmu-miR-6998-3p, mmu-miR-5627-5p, mmu-miR-15a-3p, and mmu-miR-6922-3p) interactions that target MYOC, KCNQ5, MUC1, and F3. We have characterized the PCa secretome and membrane proteome and have spotted new dysregulated target candidates in PCa.
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Park S, Lee H, Yang H. Sensitive Affinity-Based Biosensor Using the Autocatalytic Activation of Trypsinogen Mutant by Trypsin with Low Self-activation. ACS APPLIED BIO MATERIALS 2022; 5:4516-4522. [PMID: 35972302 DOI: 10.1021/acsabm.2c00594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Self-propagating autocatalytic reactions of proteases that can provide high signal amplification have not been applied to affinity-based biosensors owing to the limited number of fast autocatalytic proteolytic reactions available and the self-activation of protease proenzymes. Here, we report that a self-propagating autocatalytic reaction based on the autocatalytic activation of the trypsinogen mutant by trypsin facilitates high signal amplification and a low background level, resulting in a low detection limit for prostate-specific antigen (PSA). A commercially available trypsinogen mutant minimizes the self-activation of trypsinogen by trypsinogen. Trypsin, which is used as a catalytic label in a sandwich-type immunosensor, converts the trypsinogen mutant into trypsin; the generated trypsin then further converts the trypsinogen mutant into trypsin. The autocatalytically produced trypsin proteolytically cleaves the peptide bond of a trypsin substrate, resulting in the liberation of electrochemically active 4-aminophenol (AP). The electrochemical oxidation of AP at a modified indium tin oxide (ITO) electrode induces electrochemical-chemical redox cycling involving the ITO electrode, AP, and a reductant. The triple combination of autocatalytic activation, proteolytic cleavage, and redox cycling results in a high electrochemical signal level. The detection limit for PSA obtained using a trypsin label and trypsinogen (∼7 pg/mL) is lower than that obtained using a trypsin label alone (∼100 pg/mL). This study demonstrated that autocatalytically activating a proenzyme is a very useful method for highly amplifying signals.
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Affiliation(s)
- Seonhwa Park
- Department of Chemistry and Chemistry Institute for Functional Materials, Pusan National University, Busan 46241, Korea
| | - Hyoeun Lee
- Department of Chemistry and Chemistry Institute for Functional Materials, Pusan National University, Busan 46241, Korea
| | - Haesik Yang
- Department of Chemistry and Chemistry Institute for Functional Materials, Pusan National University, Busan 46241, Korea
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Gaballah MSA, Ali HEA, Hassan ZA, Mahgoub S, Ali HI, Rhim JS, Zerfaoui M, El Sayed KA, Stephen D, Sylvester PW, Abd Elmageed ZY. Small extracellular vesicle-associated miR-6068 promotes aggressive phenotypes of prostate cancer through miR-6068/HIC2/SIRT1 axis. Am J Cancer Res 2022; 12:4015-4027. [PMID: 36119841 PMCID: PMC9442005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 07/23/2022] [Indexed: 06/15/2023] Open
Abstract
Early diagnosis and treatment of patients with aggressive prostate cancer (PCa) remains a clinically unmet need. We aimed to determine the levels of small extracellular vesicle (sEV)-associated microRNAs (miRs); miR-4737, miR-6068, and miR-6076 in a large panel of PCa cells and delineate the biological significance of miR-6068 in promoting PCa cells. sEVs were isolated from the conditioned medium of PCa cells, followed by RNA extraction and quantitative Real-Time PCR analysis. Functional assays were performed, and the protein expression of hypermethylated in cancer 2 (HIC2), as a potential miR-6068 target gene, was evaluated in PCa tissues by immunohistochemistry. sEV-associated miR-6068, miR-4737, and miR-6076 levels displayed large and significant differences compared to normal cells. miR-6068 was explicitly upregulated in sEV of PC-3 and CWR-R1ca cells (P<0.010). Suppression of miR-6068 in CWR-R1ca cells decreased cell proliferation, colony formation, and cell migration. In contrast, upregulation of miR-6068 in RC77T/E cells decreased HIC2 levels and increased cell aggressive phenotypes. The overexpression of HIC2 in PCa tissues was primarily observed in the cytoplasm compared to benign prostatic hyperplasia (BPH) and normal tissues (P<0.0001). This study confirms the differential packaging of miR-4737, miR-6068, and miR-6076 in sEVs of PCa cells. MiR-6068 promotes PCa cells to acquire aggressive phenotypes by inhibiting the HIC2/Sirtuin 1 (SIRT1) axis.
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Affiliation(s)
- Mohamed S A Gaballah
- Department of Pharmaceutical Sciences, Rangel College of Pharmacy, Texas A&M UniversityCollege Station 77843, USA
- Department of Biochemistry and Molecular Biology, Faculty of Pharmacy, Helwan UniversityHelwan, Cairo 11795, Egypt
| | - Hamdy E A Ali
- Department of Pharmaceutical Sciences, Rangel College of Pharmacy, Texas A&M UniversityCollege Station 77843, USA
| | - Zeinab A Hassan
- Department of Biochemistry and Molecular Biology, Faculty of Pharmacy, Helwan UniversityHelwan, Cairo 11795, Egypt
| | - Shahenda Mahgoub
- Department of Biochemistry and Molecular Biology, Faculty of Pharmacy, Helwan UniversityHelwan, Cairo 11795, Egypt
| | - Hamid I Ali
- Department of Pharmaceutical Sciences, Rangel College of Pharmacy, Texas A&M UniversityCollege Station 77843, USA
| | - Johng S Rhim
- Department of Surgery, Uniformed Services University of The Health SciencesBethesda, MD 20814, USA
| | - Mourad Zerfaoui
- Department of Surgery, Tulane University School of MedicineNew Orleans, LA 70112, USA
| | - Khalid A El Sayed
- School of Basic Pharmaceutical and Toxicological Sciences, College of Pharmacy, University of Louisiana at MonroeMonroe, LA 71203, USA
| | - David Stephen
- Department of Pathology, Edward Via College of Osteopathic MedicineAuburn, LA 36832, USA
| | - Paul W Sylvester
- School of Basic Pharmaceutical and Toxicological Sciences, College of Pharmacy, University of Louisiana at MonroeMonroe, LA 71203, USA
| | - Zakaria Y Abd Elmageed
- Department of Pharmaceutical Sciences, Rangel College of Pharmacy, Texas A&M UniversityCollege Station 77843, USA
- Department of Biomedical Sciences, Discipline of Pharmacology, Edward Via College of Osteopathic Medicine, University of Louisiana at MonroeMonroe, LA 71203, USA
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Wu HF, Kailasa SK. Recent advances in nanomaterials-based optical sensors for detection of various biomarkers (inorganic species, organic and biomolecules). LUMINESCENCE 2022. [PMID: 35929140 DOI: 10.1002/bio.4353] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/11/2022] [Accepted: 07/27/2022] [Indexed: 11/07/2022]
Abstract
This review briefly emphasizes the different detection approaches (electrochemical sensors, chemiluminescence, surface-enhanced Raman scattering), functional nanostructure materials (quantum dots, metal nanoparticles, metal nanoclusters, magnetic nanomaterials, metal oxide nanoparticles, polymer-based nanomaterials, and carbonaceous nanomaterials) and detection mechanisms. Further, this review emphasis on the integration of functional nanomaterials with optical spectroscopic techniques for the identification of various biomarkers (nucleic acids, glucose, uric acid, oxytocin, dopamine, ascorbic acid, bilirubin, spermine, serotonin, thiocyanate, Pb2+ , Cu2+ , Hg2+ , F- , peptides, and cancer biomarkers (mucin 1, prostate specific antigen, carcinoembryonic antigen, CA15-3, human epidermal growth factor receptor 2, C-reactive protein, and interleukin-6). Analytical characteristics of nanomaterials-based optical sensors are summarized in Tables, providing the insights of nanomaterials-based optical sensors for biomarkers detection. Finally, the opportunities and challenges of nanomaterials-based optical analytical approaches for the detection of various biomarkers (inorganic, organic, biomolecules, peptides and proteins) are discussed.
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Affiliation(s)
- Hui-Fen Wu
- Department of Chemistry, National Sun Yat-Sen University, Kaohsiung, Taiwan
- School of Pharmacy, College of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan
- Institute of Medical Science and Technology, National Sun Yat-Sen University, Kaohsiung, Taiwan
- International PhD Program for Science, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Suresh Kumar Kailasa
- Department of Chemistry, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India
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Cerqueira OLD, Botelho MCS, Fiore APZP, Osório CABDT, Tomasin R, Morais MCC, López RVM, Cardoso EC, Vilella-Arias SA, Reis EM, Bruni-Cardoso A. Prognostic value of integrin αV expression and localization pattern in invasive breast carcinomas. Neoplasia 2022; 30:100803. [PMID: 35526305 PMCID: PMC9092997 DOI: 10.1016/j.neo.2022.100803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 04/18/2022] [Indexed: 10/25/2022]
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49
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Ran B, Chen C, Liu B, Lan M, Chen H, Zhu Y. A Ti
3
C
2
T
X
/Pt–Pd based amperometric biosensor for sensitive cancer biomarker detection. Electrophoresis 2022; 43:2033-2043. [DOI: 10.1002/elps.202100218] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 05/30/2022] [Accepted: 06/29/2022] [Indexed: 12/29/2022]
Affiliation(s)
- Bin Ran
- School of Science Harbin Institute of Technology, Shenzhen Shenzhen P. R. China
| | - Chaozhan Chen
- School of Science Harbin Institute of Technology, Shenzhen Shenzhen P. R. China
| | - Bo Liu
- School of Science Harbin Institute of Technology, Shenzhen Shenzhen P. R. China
| | - Minbo Lan
- Shanghai Key Laboratory of Functional Materials Chemistry, School of Chemistry and Molecular Engineering East China University of Science and Technology Shanghai P. R. China
| | - Huaying Chen
- School of Mechanical Engineering and Automation Harbin Institute of Technology, Shenzhen Shenzhen P. R. China
- Center for Microflows and Nanoflows Harbin Institute of Technology, Shenzhen Shenzhen P. R. China
| | - Yonggang Zhu
- School of Mechanical Engineering and Automation Harbin Institute of Technology, Shenzhen Shenzhen P. R. China
- Center for Microflows and Nanoflows Harbin Institute of Technology, Shenzhen Shenzhen P. R. China
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50
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Coradduzza D, Solinas T, Balzano F, Culeddu N, Rossi N, Cruciani S, Azara E, Maioli M, Zinellu A, De Miglio MR, Madonia M, Falchi M, Carru C. miRNAs as molecular biomarkers for prostate cancer. J Mol Diagn 2022; 24:1171-1180. [PMID: 35835374 DOI: 10.1016/j.jmoldx.2022.05.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 04/05/2022] [Accepted: 05/23/2022] [Indexed: 01/10/2023] Open
Abstract
MicroRNAs (miRNAs) are short noncoding RNA able to regulate specific mRNA stability, thus influencing target gene expression. Disrupted levels of several miRNA have been associated with prostate cancer, the leading cause of cancer death among men and the fifth leading cause of death worldwide. Here, we investigated whether miR-145, miR-148, and miR-185 circulating levels in plasma could be used as molecular biomarkers, to allow distinguishing between individuals with benign prostatic hyperplasia, precancerous lesion, and prostate cancer. In this study, we recruited 170 urological clinic patients with suspected prostate cancer who underwent prostate biopsy. Total RNA was isolated from plasma, and TaqMan MicroRNA assays were used to analyze miR-145, miR-185, and miR-148 expression. First, differential miRNA expression among patient groups was evaluated. Then, miRNA levels were combined with clinical assessment outcomes, including results from invasive tests, using multivariate analysis to examine their ability in discriminating among the three patient groups. Our results suggest that miRNA is a promising molecular tool for clinical management of at-risk patients.
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Affiliation(s)
| | - Tatiana Solinas
- Urologic Clinic, Dep. of Clinical and Experimental Medicine, University of Sassari
| | - Francesca Balzano
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Nicola Culeddu
- Institute of Biomolecular Chemistry, National Research Council, Sassari, Italy
| | - Niccolò Rossi
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Sara Cruciani
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Emanuela Azara
- Institute of Biomolecular Chemistry, National Research Council, Sassari, Italy
| | - Margherita Maioli
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Angelo Zinellu
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | | | - Massimo Madonia
- Urologic Clinic, Dep. of Clinical and Experimental Medicine, University of Sassari
| | - Mario Falchi
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Ciriaco Carru
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy; University Hospital of Sassari (AOU), Sassari, Italy.
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