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Martínez-Castedo B, Camblor DG, Martín-Arana J, Carbonell-Asins JA, García-Micó B, Gambardella V, Huerta M, Roselló S, Roda D, Gimeno-Valiente F, Cervantes A, Tarazona N. Minimal residual disease in colorectal cancer. Tumor-informed versus tumor-agnostic approaches: unraveling the optimal strategy. Ann Oncol 2025; 36:263-276. [PMID: 39675560 DOI: 10.1016/j.annonc.2024.12.006] [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: 07/26/2024] [Revised: 11/29/2024] [Accepted: 12/09/2024] [Indexed: 12/17/2024] Open
Abstract
BACKGROUND Circulating tumor DNA (ctDNA) analysis has emerged as a minimally invasive tool for detecting minimal residual disease (MRD) in colorectal cancer (CRC) patients. This enables dynamic risk stratification, earlier recurrence detection and optimized post-surgical treatment. Two primary methodologies have been developed for ctDNA-based MRD detection: tumor-informed strategies, which identify tumor-specific mutations through initial tissue sequencing to guide ctDNA monitoring, and tumor-agnostic approaches, which utilize predefined panels to detect common cancer-associated genomic or epigenomic alterations directly from plasma without prior tissue analysis. The debate over which is superior in terms of sensitivity, specificity, cost-effectiveness and clinical feasibility remains unsolved. DESIGN This review summarizes studies published up to November 2024, exploring the utility and performance of tumor-informed and tumor-agnostic approaches for ctDNA analysis in CRC. We evaluate the strengths and limitations of each methodology, focusing on sensitivity, specificity and clinical outcomes. RESULTS Both strategies demonstrate clinical utility in post-operative risk stratification and guiding adjuvant chemotherapy decisions in CRC patients. Tumor-informed approaches generally exhibit superior sensitivity and specificity for recurrence prediction, attributed to their personalized tumor profile designs. However, these methods are limited by the need for prior tissue sequencing and higher associated costs. In contrast, tumor-agnostic approaches offer broader applicability due to their reliance on plasma-only analysis, although with relatively lower sensitivity. Technological advancements, including fragmentomics and multi-omic integrations, are expanding the capabilities of ctDNA-based MRD detection, enhancing the performance of both approaches. CONCLUSIONS While tumor-informed strategies currently offer higher precision in MRD detection, tumor-agnostic approaches are gaining traction due to their convenience and improving performance metrics. The integration of novel technologies in ongoing clinical trials may redefine the optimal approach for MRD detection in CRC, paving the way for more personalized and adaptive patient management strategies.
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Affiliation(s)
- B Martínez-Castedo
- Department of Medical Oncology, INCLIVA Biomedical Research Institute, University of Valencia, Valencia, Spain; CIBERONC, Carlos III Health Institute, Madrid, Spain
| | - D G Camblor
- Department of Medical Oncology, INCLIVA Biomedical Research Institute, University of Valencia, Valencia, Spain
| | - J Martín-Arana
- Department of Medical Oncology, INCLIVA Biomedical Research Institute, University of Valencia, Valencia, Spain; CIBERONC, Carlos III Health Institute, Madrid, Spain
| | - J A Carbonell-Asins
- Biostatistics Unit, INCLIVA Biomedical Research Institute, University of Valencia, Valencia, Spain
| | - B García-Micó
- Department of Medical Oncology, INCLIVA Biomedical Research Institute, University of Valencia, Valencia, Spain; CIBERONC, Carlos III Health Institute, Madrid, Spain
| | - V Gambardella
- Department of Medical Oncology, INCLIVA Biomedical Research Institute, University of Valencia, Valencia, Spain
| | - M Huerta
- Department of Medical Oncology, INCLIVA Biomedical Research Institute, University of Valencia, Valencia, Spain; CIBERONC, Carlos III Health Institute, Madrid, Spain
| | - S Roselló
- Department of Medical Oncology, INCLIVA Biomedical Research Institute, University of Valencia, Valencia, Spain; CIBERONC, Carlos III Health Institute, Madrid, Spain
| | - D Roda
- Department of Medical Oncology, INCLIVA Biomedical Research Institute, University of Valencia, Valencia, Spain; CIBERONC, Carlos III Health Institute, Madrid, Spain
| | - F Gimeno-Valiente
- Cancer Evolution and Genome Instability Laboratory, University College London Cancer Institute, London, UK
| | - A Cervantes
- Department of Medical Oncology, INCLIVA Biomedical Research Institute, University of Valencia, Valencia, Spain; CIBERONC, Carlos III Health Institute, Madrid, Spain.
| | - N Tarazona
- Department of Medical Oncology, INCLIVA Biomedical Research Institute, University of Valencia, Valencia, Spain; CIBERONC, Carlos III Health Institute, Madrid, Spain.
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2
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Safrastyan A, Wollny D. Detection of reproducible liver cancer specific ligand-receptor signaling in blood. FRONTIERS IN BIOINFORMATICS 2025; 4:1332782. [PMID: 39850635 PMCID: PMC11754192 DOI: 10.3389/fbinf.2024.1332782] [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: 11/03/2023] [Accepted: 12/24/2024] [Indexed: 01/25/2025] Open
Abstract
Cell-cell communication mediated by ligand-receptor interactions (LRI) is critical to coordinating diverse biological processes in homeostasis and disease. Lately, our understanding of these processes has greatly expanded through the inference of cellular communication, utilizing RNA extracted from bulk tissue or individual cells. Considering the challenge of obtaining tissue biopsies for these approaches, we considered the potential of studying cell-free RNA obtained from blood. To test the feasibility of this approach, we used the BulkSignalR algorithm across 295 cell-free RNA samples and compared the LRI profiles across multiple cancer types and healthy donors. Interestingly, we detected specific and reproducible LRIs particularly in the blood of liver cancer patients compared to healthy donors. We found an increase in the magnitude of hepatocyte interactions, notably hepatocyte autocrine interactions in liver cancer patients. Additionally, a robust panel of 30 liver cancer-specific LRIs presents a bridge linking liver cancer pathogenesis to discernible blood markers. In summary, our approach shows the plausibility of detecting liver LRIs in blood and builds upon the biological understanding of cell-free transcriptomes.
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Affiliation(s)
- Aram Safrastyan
- RNA Bioinformatics and High Throughput Analysis, Friedrich Schiller University Jena, Jena, Germany
- Genetics and Epigenetics of Aging, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany
| | - Damian Wollny
- RNA Bioinformatics and High Throughput Analysis, Friedrich Schiller University Jena, Jena, Germany
- Genetics and Epigenetics of Aging, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
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3
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Zhai M, Yang W, Zou C, Du S, Wu B, Wang C, Lu Y, Zheng Y. Predictive role of HPGD gene in carcinogenesis and immune environment monitoring in human cervical cancer. Cancer Biomark 2024; 41:18758592241296277. [PMID: 40095474 DOI: 10.1177/18758592241296277] [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] [Indexed: 03/19/2025]
Abstract
Background15-Hydroxyprostaglandin dehydrogenase (15-PGDH, gene symbol HPGD) is considered a tumor suppressor, and its expression is often proportional to the anticancer response. However, the clinical significance of HPGD/15-PGDH in predicting immune response and its diagnosis and prognosis value in cervical cancer remains unclear.ObjectiveThis study aims to explore the clinical significance of HPGD/15-PGDH in predicting carcinogenesis, prognosis, and sensitivity to immuno- and chemotherapy in cervical cancer.MethodsA comprehensive evaluation of the diagnostic, treatment-sensitive, and prognostic value of HPGD/15-PGDH in cervical cancer was conducted by bioinformatics analysis of public databases and validation of real cohort data.ResultsBioinformatics analysis showed that HPGD expression was decreased in cervical cancer and did not independently predict patient prognosis. Low HPGD expression was linked to resistance to certain chemotherapies, potentially due to immunosuppression triggered by low HPGD levels. Validation in clinical samples from the local hospital confirmed the decreased 15-PGDH expression and increased COX-2 expression in HPV16-positive cervical cancer patients and increased immune suppression during cancer progression.ConclusionsHPGD/15-PGDH is a potential biomarker for predicting the progression, immune response, and chemotherapy sensitivity of cervical cancer, with implications that it is of great value for the diagnosis and individual-based treatment of cervical cancer.
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Affiliation(s)
- Mingzhu Zhai
- Department of Clinical Pathology, Jinan University First Affiliated Hospital, Guangzhou, China
- Center for Medical Experiments (CME), Shenzhen Guangming District People's Hospital, Shenzhen, China
| | - Weihua Yang
- Center for Medical Experiments (CME), Shenzhen Guangming District People's Hospital, Shenzhen, China
| | - Chen Zou
- Center for Medical Experiments (CME), Shenzhen Guangming District People's Hospital, Shenzhen, China
| | - Shan Du
- Department of Pathology, Shenzhen Guangming District People's Hospital, Shenzhen, China
| | - Benqing Wu
- Center for Medical Experiments (CME), Shenzhen Guangming District People's Hospital, Shenzhen, China
| | - Changshan Wang
- Center for Medical Experiments (CME), Shenzhen Guangming District People's Hospital, Shenzhen, China
| | - Yuanzhi Lu
- Department of Clinical Pathology, Jinan University First Affiliated Hospital, Guangzhou, China
| | - Yi Zheng
- Center for Medical Experiments (CME), Shenzhen Guangming District People's Hospital, Shenzhen, China
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4
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Northrop-Albrecht EJ, Wu CW, Berger CK, Taylor WR, Foote PH, Doering KA, Gonser AM, Bhagwate A, Sun Z, Mahoney DW, Burger KN, Boardman LA, Kisiel JB. An investigation of plasma cell-free RNA for the detection of colorectal cancer: From transcriptome marker selection to targeted validation. PLoS One 2024; 19:e0308711. [PMID: 39146279 PMCID: PMC11326608 DOI: 10.1371/journal.pone.0308711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 07/29/2024] [Indexed: 08/17/2024] Open
Abstract
Regular screening for colorectal cancer (CRC) is critical for early detection and long-term survival. Despite the current screening options available and advancements in therapies there will be around 53,000 CRC related deaths this year. There is great interest in non-invasive alternatives such as plasma cell-free RNA (cfRNA) for diagnostic, prognostic, and predictive applications. In the current study, our aim was to identify and validate potential cfRNA candidates to improve early CRC diagnosis. In phase 1 (n = 49; 25 controls, 24 cancers), discovery total RNA sequencing was performed. Select exons underwent validation in phase 2 (n = 73; 35 controls, 29 cancers, 9 adenomas) using targeted capture sequencing (n = 10,371 probes). In phase 3 (n = 57; 30 controls, 27 cancers), RT-qPCR was performed on previously identified candidates (n = 99). There were 895 exons that were differentially expressed (325 upregulated, 570 downregulated) among cancers versus controls. In phases 2 and 3, fewer markers were validated than expected in independent sets of patients, most of which were from previously published literature (FGA, FGB, GPR107, CDH3, and RP23AP7). In summary, we optimized laboratory processes and data analysis strategies which can serve as methodological framework for future plasma RNA studies beyond just the scope of CRC detection. Additionally, further exploration is needed in order to determine if the few cfRNA candidates identified in this study have clinical utility for early CRC detection. Over time, advancements in technologies, data analysis, and RNA preservation methods at time of collection may improve the biological and technical reproducibility of cfRNA biomarkers and enhance the feasibility of RNA-based liquid biopsies.
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Affiliation(s)
| | - Chung Wah Wu
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Calise K Berger
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - William R Taylor
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Patrick H Foote
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Karen A Doering
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Anna M Gonser
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Aditya Bhagwate
- Division of Computational Biology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Zhifu Sun
- Division of Computational Biology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Douglas W Mahoney
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Kelli N Burger
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Lisa A Boardman
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - John B Kisiel
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, United States of America
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Ho HY, Chung KS(K, Kan CM, Wong SC(C. Liquid Biopsy in the Clinical Management of Cancers. Int J Mol Sci 2024; 25:8594. [PMID: 39201281 PMCID: PMC11354853 DOI: 10.3390/ijms25168594] [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: 06/14/2024] [Revised: 08/02/2024] [Accepted: 08/02/2024] [Indexed: 09/02/2024] Open
Abstract
Liquid biopsy, a noninvasive diagnosis that examines circulating tumor components in body fluids, is increasingly used in cancer management. An overview of relevant literature emphasizes the current state of liquid biopsy applications in cancer care. Biomarkers in liquid biopsy, particularly circulating tumor DNA (ctDNA), circulating tumor RNAs (ctRNA), circulating tumor cells (CTCs), extracellular vesicles (EVs), and other components, offer promising opportunities for early cancer diagnosis, treatment selection, monitoring, and disease assessment. The implementation of liquid biopsy in precision medicine has shown significant potential in various cancer types, including lung cancer, colorectal cancer, breast cancer, and prostate cancer. Advances in genomic and molecular technologies such as next-generation sequencing (NGS) and digital polymerase chain reaction (dPCR) have expanded the utility of liquid biopsy, enabling the detection of somatic variants and actionable genomic alterations in tumors. Liquid biopsy has also demonstrated utility in predicting treatment responses, monitoring minimal residual disease (MRD), and assessing tumor heterogeneity. Nevertheless, standardizing liquid biopsy techniques, interpreting results, and integrating them into the clinical routine remain as challenges. Despite these challenges, liquid biopsy has significant clinical implications in cancer management, offering a dynamic and noninvasive approach to understanding tumor biology and guiding personalized treatment strategies.
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Affiliation(s)
| | | | | | - Sze-Chuen (Cesar) Wong
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong SAR, China; (H.-Y.H.); (K.-S.C.); (C.-M.K.)
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Zhong P, Bai L, Hong M, Ouyang J, Wang R, Zhang X, Chen P. A Comprehensive Review on Circulating cfRNA in Plasma: Implications for Disease Diagnosis and Beyond. Diagnostics (Basel) 2024; 14:1045. [PMID: 38786343 PMCID: PMC11119755 DOI: 10.3390/diagnostics14101045] [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: 04/14/2024] [Revised: 05/13/2024] [Accepted: 05/15/2024] [Indexed: 05/25/2024] Open
Abstract
Circulating cfRNA in plasma has emerged as a fascinating area of research with potential applications in disease diagnosis, monitoring, and personalized medicine. Circulating RNA sequencing technology allows for the non-invasive collection of important information about the expression of target genes, eliminating the need for biopsies. This comprehensive review aims to provide a detailed overview of the current knowledge and advancements in the study of plasma cfRNA, focusing on its diverse landscape and biological functions, detection methods, its diagnostic and prognostic potential in various diseases, challenges, and future perspectives.
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Affiliation(s)
- Pengqiang Zhong
- Department of Clinical Laboratory, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Lu Bai
- Department of Clinical Laboratory, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Mengzhi Hong
- Department of Clinical Laboratory, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Juan Ouyang
- Department of Clinical Laboratory, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Ruizhi Wang
- Department of Clinical Laboratory, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Xiaoli Zhang
- Department of Pediatrics, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Peisong Chen
- Department of Clinical Laboratory, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
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7
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Ahmad A, Mahmood N, Raza MA, Mushtaq Z, Saeed F, Afzaal M, Hussain M, Amjad HW, Al-Awadi HM. Gut microbiota and their derivatives in the progression of colorectal cancer: Mechanisms of action, genome and epigenome contributions. Heliyon 2024; 10:e29495. [PMID: 38655310 PMCID: PMC11035079 DOI: 10.1016/j.heliyon.2024.e29495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 04/08/2024] [Accepted: 04/09/2024] [Indexed: 04/26/2024] Open
Abstract
Gut microbiota interacts with host epithelial cells and regulates many physiological functions such as genetics, epigenetics, metabolism of nutrients, and immune functions. Dietary factors may also be involved in the etiology of colorectal cancer (CRC), especially when an unhealthy diet is consumed with excess calorie intake and bad practices like smoking or consuming a great deal of alcohol. Bacteria including Fusobacterium nucleatum, Enterotoxigenic Bacteroides fragilis (ETBF), and Escherichia coli (E. coli) actively participate in the carcinogenesis of CRC. Gastrointestinal tract with chronic inflammation and immunocompromised patients are at high risk for CRC progression. Further, the gut microbiota is also involved in Geno-toxicity by producing toxins like colibactin and cytolethal distending toxin (CDT) which cause damage to double-stranded DNA. Specific microRNAs can act as either tumor suppressors or oncogenes depending on the cellular environment in which they are expressed. The current review mainly highlights the role of gut microbiota in CRC, the mechanisms of several factors in carcinogenesis, and the role of particular microbes in colorectal neoplasia.
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Affiliation(s)
- Awais Ahmad
- Department of Food Science, Government College University Faisalabad, Faisalabad, Pakistan
| | - Nasir Mahmood
- Department of Zoology, University of Central Punjab Bahawalpur, Bahawalpur, Pakistan
| | - Muhammad Ahtisham Raza
- Department of Food Science, Government College University Faisalabad, Faisalabad, Pakistan
| | - Zarina Mushtaq
- Department of Food Science, Government College University Faisalabad, Faisalabad, Pakistan
| | - Farhan Saeed
- Department of Food Science, Government College University Faisalabad, Faisalabad, Pakistan
| | - Muhammad Afzaal
- Department of Food Science, Government College University Faisalabad, Faisalabad, Pakistan
| | - Muzzamal Hussain
- Department of Food Science, Government College University Faisalabad, Faisalabad, Pakistan
| | - Hafiz Wasiqe Amjad
- International Medical School, Jinggangshan University, Ji'an, Jiangxi, China
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8
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Kan CM, Tsang HF, Pei XM, Ng SSM, Yim AKY, Yu ACS, Wong SCC. Enhancing Clinical Utility: Utilization of International Standards and Guidelines for Metagenomic Sequencing in Infectious Disease Diagnosis. Int J Mol Sci 2024; 25:3333. [PMID: 38542307 PMCID: PMC10970082 DOI: 10.3390/ijms25063333] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 03/11/2024] [Accepted: 03/12/2024] [Indexed: 11/11/2024] Open
Abstract
Metagenomic sequencing has emerged as a transformative tool in infectious disease diagnosis, offering a comprehensive and unbiased approach to pathogen detection. Leveraging international standards and guidelines is essential for ensuring the quality and reliability of metagenomic sequencing in clinical practice. This review explores the implications of international standards and guidelines for the application of metagenomic sequencing in infectious disease diagnosis. By adhering to established standards, such as those outlined by regulatory bodies and expert consensus, healthcare providers can enhance the accuracy and clinical utility of metagenomic sequencing. The integration of international standards and guidelines into metagenomic sequencing workflows can streamline diagnostic processes, improve pathogen identification, and optimize patient care. Strategies in implementing these standards for infectious disease diagnosis using metagenomic sequencing are discussed, highlighting the importance of standardized approaches in advancing precision infectious disease diagnosis initiatives.
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Affiliation(s)
- Chau-Ming Kan
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China; (C.-M.K.); (H.F.T.)
| | - Hin Fung Tsang
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China; (C.-M.K.); (H.F.T.)
| | - Xiao Meng Pei
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, China;
| | - Simon Siu Man Ng
- Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China;
| | | | - Allen Chi-Shing Yu
- Codex Genetics Limited, Shatin, Hong Kong, China; (A.K.-Y.Y.); (A.C.-S.Y.)
| | - Sze Chuen Cesar Wong
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, China;
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9
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Safrastyan A, Zu Siederdissen CH, Wollny D. Decoding cell-type contributions to the cfRNA transcriptomic landscape of liver cancer. Hum Genomics 2023; 17:90. [PMID: 37798661 PMCID: PMC10552294 DOI: 10.1186/s40246-023-00537-w] [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: 07/26/2023] [Accepted: 09/20/2023] [Indexed: 10/07/2023] Open
Abstract
BACKGROUND Liquid biopsy, particularly cell-free RNA (cfRNA), has emerged as a promising non-invasive diagnostic tool for various diseases, including cancer, due to its accessibility and the wealth of information it provides. A key area of interest is the composition and cellular origin of cfRNA in the blood and the alterations in the cfRNA transcriptomic landscape during carcinogenesis. Investigating these changes can offer insights into the manifestations of tissue alterations in the blood, potentially leading to more effective diagnostic strategies. However, the consistency of these findings across different studies and their clinical utility remains to be fully elucidated, highlighting the need for further research in this area. RESULTS In this study, we analyzed over 350 blood samples from four distinct studies, investigating the cell type contributions to the cfRNA transcriptomic landscape in liver cancer. We found that an increase in hepatocyte proportions in the blood is a consistent feature across most studies and can be effectively utilized for classifying cancer and healthy samples. Moreover, our analysis revealed that in addition to hepatocytes, liver endothelial cell signatures are also prominent in the observed changes. By comparing the classification performance of cellular proportions to established markers, we demonstrated that cellular proportions could distinguish cancer from healthy samples as effectively as existing markers and can even enhance classification when used in combination with these markers. CONCLUSIONS Our comprehensive analysis of liver cell-type composition changes in blood revealed robust effects that help classify cancer from healthy samples. This is especially noteworthy, considering the heterogeneous nature of datasets and the etiological distinctions of samples. Furthermore, the observed differences in results across studies underscore the importance of integrative and comparative approaches in the future research to determine the consistency and robustness of findings. This study contributes to the understanding of cfRNA composition in liver cancer and highlights the potential of cellular deconvolution in liquid biopsy.
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Affiliation(s)
- Aram Safrastyan
- RNA Bioinformatics and High Throughput Analysis, Friedrich Schiller University Jena, Jena, Germany.
- Leibniz Institute On Aging-Fritz Lipmann Institute (FLI), Jena, Germany.
| | | | - Damian Wollny
- RNA Bioinformatics and High Throughput Analysis, Friedrich Schiller University Jena, Jena, Germany.
- Leibniz Institute On Aging-Fritz Lipmann Institute (FLI), Jena, Germany.
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
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Kan CM, Pei XM, Yeung MHY, Jin N, Ng SSM, Tsang HF, Cho WCS, Yim AKY, Yu ACS, Wong SCC. Exploring the Role of Circulating Cell-Free RNA in the Development of Colorectal Cancer. Int J Mol Sci 2023; 24:11026. [PMID: 37446204 PMCID: PMC10341751 DOI: 10.3390/ijms241311026] [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: 05/21/2023] [Revised: 06/25/2023] [Accepted: 07/02/2023] [Indexed: 07/15/2023] Open
Abstract
Circulating tumor RNA (ctRNA) has recently emerged as a novel and attractive liquid biomarker. CtRNA is capable of providing important information about the expression of a variety of target genes noninvasively, without the need for biopsies, through the use of circulating RNA sequencing. The overexpression of cancer-specific transcripts increases the tumor-derived RNA signal, which overcomes limitations due to low quantities of circulating tumor DNA (ctDNA). The purpose of this work is to present an up-to-date review of current knowledge regarding ctRNAs and their status as biomarkers to address the diagnosis, prognosis, prediction, and drug resistance of colorectal cancer. The final section of the article discusses the practical aspects involved in analyzing plasma ctRNA, including storage and isolation, detection technologies, and their limitations in clinical applications.
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Affiliation(s)
- Chau-Ming Kan
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China; (C.-M.K.); (H.F.T.)
| | - Xiao Meng Pei
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong SAR, China; (X.M.P.); (M.H.Y.Y.)
| | - Martin Ho Yin Yeung
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong SAR, China; (X.M.P.); (M.H.Y.Y.)
| | - Nana Jin
- Codex Genetics Limited, Shatin, Hong Kong SAR, China; (N.J.); (A.K.-Y.Y.); (A.C.-S.Y.)
| | - Simon Siu Man Ng
- Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China;
| | - Hin Fung Tsang
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China; (C.-M.K.); (H.F.T.)
| | - William Chi Shing Cho
- Department of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong SAR, China;
| | - Aldrin Kay-Yuen Yim
- Codex Genetics Limited, Shatin, Hong Kong SAR, China; (N.J.); (A.K.-Y.Y.); (A.C.-S.Y.)
| | - Allen Chi-Shing Yu
- Codex Genetics Limited, Shatin, Hong Kong SAR, China; (N.J.); (A.K.-Y.Y.); (A.C.-S.Y.)
| | - Sze Chuen Cesar Wong
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong SAR, China; (X.M.P.); (M.H.Y.Y.)
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