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Tsang HF, Pei XM, Wong YKE, Wong SCC. Plasma Circulating mRNA Profile for the Non-Invasive Diagnosis of Colorectal Cancer Using NanoString Technologies. Int J Mol Sci 2024; 25:3012. [PMID: 38474258 DOI: 10.3390/ijms25053012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 02/26/2024] [Accepted: 03/02/2024] [Indexed: 03/14/2024] Open
Abstract
Colorectal cancer (CRC) is one of the most prevalent cancers and the second leading cause of cancer deaths in developed countries. Early CRC may have no symptoms and symptoms usually appear with more advanced diseases. Regular screening can identify people who are at increased risk of CRC in order to offer earlier treatment. A cost-effective non-invasive platform for the screening and monitoring of CRC patients allows early detection and appropriate treatment of the disease, and the timely application of adjuvant therapy after surgical operation is needed. In this study, a cohort of 71 plasma samples that include 48 colonoscopy- and histopathology-confirmed CRC patients with TNM stages I to IV were recruited between 2017 and 2019. Plasma mRNA profiling was performed in CRC patients using NanoString nCounter. Normalized data were analyzed using a Mann-Whitney U test to determine statistically significant differences between samples from CRC patients and healthy subjects. A multiple-group comparison of clinical phenotypes was performed using the Kruskal-Wallis H test for statistically significant differences between multiple groups. Among the 27 selected circulating mRNA markers, all of them were found to be overexpressed (gene expression fold change > 2) in the plasma of patients from two or more CRC stages. In conclusion, NanoString-based targeted plasma CRC-associated mRNAs circulating the marker panel that can significantly distinguish CRC patients from a healthy population were developed for the non-invasive diagnosis of CRC using peripheral blood samples.
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Affiliation(s)
- Hin Fung Tsang
- Department of Clinical Laboratory and Pathology, Hong Kong Adventist Hospital, Hong Kong SAR, China
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Xiao Meng Pei
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Yin Kwan Evelyn Wong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Sze Chuen Cesar Wong
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong SAR, China
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Xue VW, Ng SSM, Tsang HF, Wong HT, Leung WW, Wong YN, Wong YKE, Yu ACS, Yim AKY, Cho WCS, Tai WCS, Wong SCC. The non-invasive diagnosis of colorectal cancer via a SOX9-based gene panel. Clin Exp Med 2023; 23:2421-2432. [PMID: 36637582 DOI: 10.1007/s10238-022-00970-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Accepted: 12/01/2022] [Indexed: 01/14/2023]
Abstract
Colorectal cancer (CRC) threatens human health seriously. Early diagnosis of CRC is critical to improving patient survival. Meanwhile, non-invasive detection through tumor-circulating markers can be an important auxiliary diagnosis. In this study, we performed targeted RNA sequencing in paired tumor and adjacent normal fresh frozen tissues from 68 patients, and we also measured circulating mRNA levels in 4 time-point plasma samples collected before and after operation or chemotherapy. Our results showed that SOX9 (6.73-fold with adjusted p value < 1 × 10-45), MYC (20.59-fold with adjusted p value < 1 × 10-57), and MMP7 (131.94-fold with adjusted p value < 1 × 10-78) highly expressed in tumor compared with adjacent normal tissues. Besides, the circulating mRNA of SOX9 (41.14-fold with adjusted p value < 1 × 10-13) in CRC was significantly higher than in the normal control as well. Moreover, a SOX9-based 9-gene panel (SOX9, GSK3A, FZD4, LEF1, DVL1, FZD7, NFATC1, KRT19, and RUVBL1) showed the non-invasive diagnostic value of CRC (AUC: 0.863 (0.766-0.960), TPR: 0.92, TNR: 0.87). In summary, SOX9 expression consistently increases in tumor and plasma samples from CRC patients, which indicates the important role of SOX9 in CRC progression and its potential in non-invasive diagnosis of CRC.
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Affiliation(s)
- Vivian Weiwen Xue
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region, China
- Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, International Cancer Center, Department of Pharmacology, Shenzhen University Health Science Center, Shenzhen, China
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region, China
| | - Simon Siu Man Ng
- Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Kowloon, Hong Kong Special Administrative Region, China
| | - Hin Fung Tsang
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region, China
| | - Heong Ting Wong
- Department of Pathology, Kiang Wu Hospital, Santo António, Macau Special Administrative Region, China
| | - Wing Wa Leung
- Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Kowloon, Hong Kong Special Administrative Region, China
| | - Yee Ni Wong
- Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Kowloon, Hong Kong Special Administrative Region, China
| | - Yin Kwan Evelyn Wong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region, China
| | - Allen Chi Shing Yu
- Codex Genetics Limited, Kowloon, Hong Kong Special Administrative Region, China
| | - Aldrin Kay Yuen Yim
- Codex Genetics Limited, Kowloon, Hong Kong Special Administrative Region, China
| | - William Chi Shing Cho
- Department of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong Special Administrative Region, China
| | - William Chi Shing Tai
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region, China
| | - Sze Chuen Cesar Wong
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region, China.
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Jin N, Kan CM, Pei XM, Cheung WL, Ng SSM, Wong HT, Cheng HYL, Leung WW, Wong YN, Tsang HF, Chan AKC, Wong YKE, Cho WCS, Chan JKC, Tai WCS, Chan TF, Wong SCC, Yim AKY, Yu ACS. Cell-free circulating tumor RNAs in plasma as the potential prognostic biomarkers in colorectal cancer. Front Oncol 2023; 13:1134445. [PMID: 37091184 PMCID: PMC10115432 DOI: 10.3389/fonc.2023.1134445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 03/24/2023] [Indexed: 04/09/2023] Open
Abstract
BackgroundCell free RNA (cfRNA) contains transcript fragments from multiple cell types, making it useful for cancer detection in clinical settings. However, the pathophysiological origins of cfRNAs in plasma from colorectal cancer (CRC) patients remain unclear.MethodsTo identify the tissue-specific contributions of cfRNAs transcriptomic profile, we used a published single-cell transcriptomics profile to deconvolute cell type abundance among paired plasma samples from CRC patients who underwent tumor-ablative surgery. We further validated the differentially expressed cfRNAs in 5 pairs of CRC tumor samples and adjacent tissue samples as well as 3 additional CRC tumor samples using RNA-sequencing.ResultsThe transcriptomic component from intestinal secretory cells was significantly decreased in the in-house post-surgical cfRNA. The HPGD, PACS1, and TDP2 expression was consistent across cfRNA and tissue samples. Using the Cancer Genome Atlas (TCGA) CRC datasets, we were able to classify the patients into two groups with significantly different survival outcomes.ConclusionsThe three-gene signature holds promise in applying minimal residual disease (MRD) testing, which involves profiling remnants of cancer cells after or during treatment. Biomarkers identified in the present study need to be validated in a larger cohort of samples in order to ascertain their possible use in early diagnosis of CRC.
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Affiliation(s)
- Nana Jin
- R&D, Codex Genetics Limited, Hong Kong, Hong Kong SAR, China
| | - Chau-Ming Kan
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | - Xiao Meng Pei
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | - Wing Lam Cheung
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | - Simon Siu Man Ng
- Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Heong Ting Wong
- Department of Pathology, Kiang Wu Hospital, Macau, Macau SAR, China
| | - Hennie Yuk-Lin Cheng
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | - Wing Wa Leung
- Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Yee Ni Wong
- Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Hin Fung Tsang
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | | | - Yin Kwan Evelyn Wong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | - William Chi Shing Cho
- Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong, Hong Kong SAR, China
| | | | - William Chi Shing Tai
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | - Ting-Fung Chan
- School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
- State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Sze Chuen Cesar Wong
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
- *Correspondence: Allen Chi-Shing Yu, ; Aldrin Kay-Yuen Yim, ; Sze Chuen Cesar Wong,
| | - Aldrin Kay-Yuen Yim
- R&D, Codex Genetics Limited, Hong Kong, Hong Kong SAR, China
- *Correspondence: Allen Chi-Shing Yu, ; Aldrin Kay-Yuen Yim, ; Sze Chuen Cesar Wong,
| | - Allen Chi-Shing Yu
- R&D, Codex Genetics Limited, Hong Kong, Hong Kong SAR, China
- *Correspondence: Allen Chi-Shing Yu, ; Aldrin Kay-Yuen Yim, ; Sze Chuen Cesar Wong,
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Pei XM, Wong HT, Ng SSM, Leung WW, Wong YN, Tsang HF, Chan AKC, Wong YKE, Yu ACS, Yim AKY, Cho WCS, Chan JKC, Wong KF, Luk JM, Tai WCS, Wong SCC. The diagnostic significance of CDH17-positive circulating tumor cells in patients with colorectal cancer. Expert Rev Mol Diagn 2023; 23:171-179. [PMID: 36744385 DOI: 10.1080/14737159.2023.2176223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Colorectal cancer (CRC) is the second leading cause of cancer deaths in Hong Kong. We tested the hypothesis that circulating tumor cell (CTC) analysis by ARB101 antibody could be used as a tool for CRC detection, progression, and therapy response. RESEARCH METHODS ARB101 antibody was used for investigation of CDH17 expression in formalin-fixed, paraffin-embedded (FFPE) tissue sections and circulating tumor cells (CTCs) of CRC patients. RESULTS Using ARB101, highest sensitivity was observed in 98/100 (98%) colorectal cancer tissue compared to 72/100 gastric cancer (72%) and 27/32 pancreatic cancer (84%). Immunoreactivity of CDH17 was significantly higher in distant metastatic (tumor-node-metastasis [TNM] stage IV) than non-distant metastatic (TNM stage I to III) CRC. ARB101 antibody also manifested the higher sensitivity than c-erbB2 (8%) and epidermal growth factor receptor (EGFR)-targeting antibodies (37%) with the significance (p < 0.0001). ARB101 positive CTCs were detected in 64/83 (77%) TNM stage I to IV CRC patients. Furthermore, ARB101 positive CTCs detected in TNM stage I to III CRC patients before and after surgical operation are statistically significant (p < 0.0001). CONCLUSIONS CTC detection by ARB101 antibody could serve as a potential non-invasive approach for CRC detection, progression, and monitoring of treatment response.
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Affiliation(s)
- Xiao Meng Pei
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, Hong Kong Special Administrative Region, China
| | - Heong Ting Wong
- Department of Pathology, Kiang Wu Hospital, Macao, Macau Special Administrative Region, China
| | - Simon Siu Man Ng
- Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, China
| | - Wing Wa Leung
- Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, China
| | - Yee Ni Wong
- Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, China
| | - Hin Fung Tsang
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong Special Administrative Region, China
| | - Amanda Kit Ching Chan
- Department of Pathology, Queen Elizabeth Hospital, Hong Kong, Hong Kong Special Administrative Region, China
| | - Yin Kwan Evelyn Wong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong Special Administrative Region, China
| | - Allen Chi Shing Yu
- Department of Research and Develpment, Codex Genetics Limited, Hong Kong, Hong Kong Special Administrative Region, China
| | - Aldrin Kay Yuen Yim
- Department of Research and Develpment, Codex Genetics Limited, Hong Kong, Hong Kong Special Administrative Region, China
| | - William Chi Shing Cho
- Department of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong Special Administrative Region, China
| | - John Kwok Cheung Chan
- Department of Pathology, Queen Elizabeth Hospital, Hong Kong, Hong Kong Special Administrative Region, China
| | - Kwong Fai Wong
- Department of Research and Develpment Arbele Limited, Hong Kong, Hong Kong Special Administrative Region, China
| | - John M Luk
- Department of Research and Develpment Arbele Limited, Hong Kong, Hong Kong Special Administrative Region, China
| | - William Chi Shing Tai
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, Hong Kong Special Administrative Region, China
| | - Sze Chuen Cesar Wong
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, Hong Kong Special Administrative Region, China.,Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong Special Administrative Region, China
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Tsang HF, Yu ACS, Wong HT, Leung WMS, Chiou J, Wong YKE, Yim AKY, Tsang DNC, Tsang AK, Wong WT, Wong SCC, Cho WCS. Whole genome amplicon sequencing and phylogenetic analysis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from lineage B.1.36.27 isolated in Hong Kong. Expert Rev Mol Diagn 2021; 22:119-124. [PMID: 34878349 DOI: 10.1080/14737159.2022.2015330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND The import of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lineage B.1.36.27 has sparked the fourth wave of COVID-19 outbreak in Hong Kong. This strain has been circulating in Hong Kong since September 2020 but rarely found in other countries (<1%). RESEARCH DESIGN AND METHODS A total of 14 SARS-CoV-2 genome sequences collected from patients in Hong Kong between July 2020 and March 2021 were determined by whole viral genome sequencing using Illumina next-generation sequencing platform, followed by phylogenetic analysis. RESULTS Of the 14 SARS-CoV-2 genome sequences analyzed, 9 strains belonged to the PANGO lineage B.1.36.27, GISAID clade GH, and Nextclade clade 20A. Compared to the reference genome, 31 nucleotide differences and 11 amino acid differences were identified in the genome of the SARS-CoV-2 from PANGO lineage B.1.36.27. CONCLUSIONS We reported the nucleotides and amino acids mutations identified in the SARS-CoV-2 from PANGO lineage B.1.36.27. Our viral genome sequences enriched the understanding of SARS-CoV-2 mutational landscape and improved the repertoire of known SARS-CoV-2 variants for tracking and tracing. From this study, we found no evidence to show that SARS-CoV-2 from lineage B.1.36.27 can compromise existing vaccines and antibody therapies.
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Affiliation(s)
- Hin Fung Tsang
- Department of Clinical Laboratory and Pathology, Hong Kong Adventist Hospital, Hong Kong Special Administrative Region, China.,Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | | | - Heong Ting Wong
- Department of Pathology, Kiang Wu Hospital, Macau Special Administrative Region, China
| | - Wai Ming Stanley Leung
- Department of Clinical Laboratory and Pathology, Hong Kong Adventist Hospital, Hong Kong Special Administrative Region, China
| | - Jiachi Chiou
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Yin Kwan Evelyn Wong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | | | - Dominic Ngai Chong Tsang
- Microbiology Division, Public Health Laboratory Services Branch, Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Alan Kl Tsang
- Microbiology Division, Public Health Laboratory Services Branch, Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Wing Tak Wong
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Sze Chuen Cesar Wong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - William Chi Shing Cho
- Department of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong Special Administrative Region, China
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Leung HY, Yeung MHY, Leung WT, Wong KH, Tang WY, Cho WCS, Wong HT, Tsang HF, Wong YKE, Pei XM, Cheng HYL, Chan AKC, Wong SCC. The current and future applications of in situ hybridization technologies in anatomical pathology. Expert Rev Mol Diagn 2021; 22:5-18. [PMID: 34779317 DOI: 10.1080/14737159.2022.2007076] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
INTRODUCTION In situ hybridization (ISH) plays an important role in the field of molecular diagnostics, especially in an anatomical pathology laboratory. ISH is a technique that can detect the targeted DNA or RNA sequences in tissue sections from frozen or fixed materials with labeled DNA or RNA probes. Radioactive and non-radioactive probes are the two major probes that can be used to label the targeted nucleic acids. AREAS COVERED Two decades after the Human Genome Project, ISH has not only simply been applied to identify the chromosomal location of a human gene but has also been extensively applied to gene expressions studies and utilized for clinical diagnosis, especially for the determination of biomarkers for breast and ovarian cancers - human epidermal growth factor receptor 2. Duchenne muscular dystrophy, Cri-du-chat syndrome, Angelman syndrome, PraderWilli syndrome, cystic fibrosis, and trisomy are diseases that can also be detected by ISH. In this review, the basic principles, historical development, advantages and disadvantages, enhancement in reporting molecules and probes, advancement in detection methods, in situ PCR, clinical applications and novel applications of ISH will be discussed. EXPERT OPINION With the advancement in ISH technologies and appropriate training, diagnosis can be improved in Anatomical Pathology.
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Affiliation(s)
- Hoi Yi Leung
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region, China
| | - Martin Ho Yin Yeung
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region, China
| | - Wai Tung Leung
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region, China
| | - King Hin Wong
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region, China
| | - Wai Yan Tang
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region, China
| | - William Chi Shing Cho
- Department of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong Special Administrative Region, China
| | - Heong Ting Wong
- Department of Pathology, Kiang Wu Hospital, Santo António, Macau Special Administrative Region, China
| | - Hin Fung Tsang
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region, China
| | - Yin Kwan Evelyn Wong
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region, China
| | - Xiao Meng Pei
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region, China
| | - Hennie Yuk Lin Cheng
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region, China
| | - Amanda Kit Ching Chan
- Department of Pathology, Queen Elizabeth Hospital, Kowloon, Hong Kong Special Administrative Region, China
| | - Sze Chuen Cesar Wong
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong Special Administrative Region, China
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Tsang HF, Chan LWC, Cho WCS, Yu ACS, Yim AKY, Chan AKC, Ng LPW, Wong YKE, Pei XM, Li MJW, Wong SCC. An update on COVID-19 pandemic: the epidemiology, pathogenesis, prevention and treatment strategies. Expert Rev Anti Infect Ther 2020; 19:877-888. [PMID: 33306423 DOI: 10.1080/14787210.2021.1863146] [Citation(s) in RCA: 131] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
INTRODUCTION To date, the transmission of Coronavirus Disease-2019 (COVID-19) is still uncontrollable with the fact that the numbers of confirmed and death cases are still increasing. Up to 1st October 2020, 33,842,281 confirmed cases and 1,010,634 confirmed deaths have been reported to the World Health Organization from 216 different countries, areas and territories. Despite the urgent demand for effective treatment strategies, there is still no specific antiviral treatment for COVID-19 and the treatment guidelines for COVID-19 vary between countries. AREA COVERED In this article, we summarized the current knowledge on COVID-19 and the pandemic worldwide. Moreover, the epidemiology, pathogenesis, prevention and different treatment options will be discussed so that we shall prepare ourselves better to fight with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). EXPERT OPINION The situation of the COVID-19 pandemic is still unpredictable. There is no effective vaccine or specific anti-viral drug to treat serve COVID-19 patients. Combination therapies have shown promising clinical improvement. Repurposing FDA-approved drugs might be one of possible treatment options. Without specific treatment and vaccines for COVID-19, the most effective way to prevent from being infected is to generate an ecosystem with effective protection, precautions and preventive measures.
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Affiliation(s)
- Hin Fung Tsang
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Lawrence Wing Chi Chan
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - William Chi Shing Cho
- Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong Special Administrative Region
| | - Allen Chi Shing Yu
- Department of Research, Codex Genetics Limited, Hong Kong Special Administrative Region
| | - Aldrin Kay Yuen Yim
- Department of Research, Codex Genetics Limited, Hong Kong Special Administrative Region
| | - Amanda Kit Ching Chan
- Department of Pathology, Queen Elizabeth Hospital, Hong Kong Special Administrative Region
| | - Lawrence Po Wah Ng
- Department of Pathology, Queen Elizabeth Hospital, Hong Kong Special Administrative Region
| | - Yin Kwan Evelyn Wong
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Xiao Meng Pei
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Marco Jing Woei Li
- Department of Research, Codex Genetics Limited, Hong Kong Special Administrative Region
| | - Sze-Chuen Cesar Wong
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
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Wu SY, Yau HS, Yu MY, Tsang HF, Chan LWC, Cho WCS, Shing Yu AC, Yuen Yim AK, Li MJW, Wong YKE, Pei XM, Cesar Wong SC. The diagnostic methods in the COVID-19 pandemic, today and in the future. Expert Rev Mol Diagn 2020; 20:985-993. [PMID: 32845192 DOI: 10.1080/14737159.2020.1816171] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
INTRODUCTION The emergence of anovel coronavirus identified in patients with unknown cause of acute respiratory disease in Wuhan, China at the end of 2019 has caused aglobal outbreak. The causative coronavirus was later named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the disease caused by SARS-CoV-2 was named as Coronavirus Disease-2019 (COVID-19). As of 10 August 2020, more than 19,718,030 confirmed cases and 728,013 deaths have been reported. COVID-19 is spread via respiratory droplets which are inhaled into the lungs. AREAS COVERED In this article, we summarized the knowledge about the causative pathogen of COVID-19 and various diagnostic methods in this pandemic for better understanding of the limitations and the nuances of virus testing for COVID-19. EXPERT OPINION In this pandemic, rapid and accurate identification of COVID-19 patients are critical to break the chain of infection in the community. RT-PCR provides a rapid and reliable identification of SARS-CoV-2 infection. In the future, molecular diagnostics will still be the gold standard and next-generation sequencing can help us to understand more on the pathogenesis and detect novel mutations. It is believed that more sophisticated detection methods will be introduced to detect SARS-CoV-2 as earliest as possible.
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Affiliation(s)
- So Yat Wu
- Department of Health Technology and Informatics, Hong Kong Polytechnic University , Hong Kong Special Administrative Region, China
| | - Hoi Shan Yau
- Department of Health Technology and Informatics, Hong Kong Polytechnic University , Hong Kong Special Administrative Region, China
| | - Man Yee Yu
- Department of Health Technology and Informatics, Hong Kong Polytechnic University , Hong Kong Special Administrative Region, China
| | - Hin Fung Tsang
- Department of Health Technology and Informatics, Hong Kong Polytechnic University , Hong Kong Special Administrative Region, China
| | - Lawrence Wing Chi Chan
- Department of Health Technology and Informatics, Hong Kong Polytechnic University , Hong Kong Special Administrative Region, China
| | - William Chi Shing Cho
- Department of Clinical Oncology, Queen Elizabeth Hospital , Hong Kong Special Administrative Region, China
| | | | | | - Marco J W Li
- Codex Genetics Limited , Hong Kong Special Administrative Region, China
| | - Yin Kwan Evelyn Wong
- Department of Health Technology and Informatics, Hong Kong Polytechnic University , Hong Kong Special Administrative Region, China
| | - Xiao Meng Pei
- Department of Health Technology and Informatics, Hong Kong Polytechnic University , Hong Kong Special Administrative Region, China
| | - Sze Chuen Cesar Wong
- Department of Health Technology and Informatics, Hong Kong Polytechnic University , Hong Kong Special Administrative Region, China
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Wong YKE, Lam KW, Ho KY, Yu CSA, Cho CSW, Tsang HF, Chu MKM, Ng PWL, Tai CSW, Chan LWC, Wong EYL, Wong SCC. The applications of big data in molecular diagnostics. Expert Rev Mol Diagn 2019; 19:905-917. [PMID: 31422710 DOI: 10.1080/14737159.2019.1657834] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Yin Kwan Evelyn Wong
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Ka Wai Lam
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Ka Yi Ho
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | | | - Chi Shing William Cho
- Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong Special Administrative Region
| | - Hin Fung Tsang
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Man Kee Maggie Chu
- Department of Life Science, The Hong Kong University of Science and Technology, Hong Kong Special Administrative Region
| | - Po Wah Lawrence Ng
- Department of Pathology, Queen Elizabeth Hospital, Hong Kong Special Administrative Region
| | - Chi Shing William Tai
- Department of Applied Biology and Chemical Technology, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Lawrence Wing Chi Chan
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Elaine Yue Ling Wong
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Sze Chuen Cesar Wong
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
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