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Chen S, Li G, Pan R, Zhou K, Wen W, Tao J, Wang F, Han RPS, Pan H, Tu Y. Novel Near-Infrared Fluorescent Probe for Hepatocyte Growth Factor in Vivo Imaging in Surgical Navigation of Colorectal Cancer. Anal Chem 2024; 96:9016-9025. [PMID: 38780636 DOI: 10.1021/acs.analchem.4c00350] [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: 05/25/2024]
Abstract
Despite recent advancements in colorectal cancer (CRC) treatment, the prognosis remains unfavorable primarily due to high recurrence and liver metastasis rates. Fluorescence molecular imaging technologies, combined with specific probes, have gained prominence in facilitating real-time tumor resection guided by fluorescence. Hepatocyte growth factor (HGF) is overexpressed in CRC, but the advancement of HGF fluorescent probes has been impeded by the absence of effective HGF-targeting small-molecular ligands. Herein, we present the targeted capabilities of the novel V-1-GGGK-MPA probe labeled with a near-infrared fluorescent dye, which targets HGF in CRC. The V-1-GGGK peptide exhibits high specificity and selectivity for HGF-positive in vitro tumor cells and in vivo tumors. Biodistribution analysis of V-1-GGGK-MPA revealed tumor-specific accumulation with low background uptake, yielding signal-to-noise ratio (SNR) values of tumor-to-colorectal >6 in multiple subcutaneous CRC models 12 h postinjection. Quantitative analysis confirmed the probe's high uptake in SW480 and HT29 orthotopic and liver metastatic models, with SNR values of tumor-to-colorectal and -liver being 5.6 ± 0.4, 4.6 ± 0.5, and 2.1 ± 0.3, 2.0 ± 0.5, respectively, enabling precise tumor visualization for surgical navigation. Pathological analysis demonstrated the excellent tumor boundaries discrimination capacity of the V-1-GGGK-MPA probe at the molecular level. With its rapid tumor targeting, sustained tumor retention, and precise tumor boundary delineation, V-1-GGGK-MPA merges as a promising HGF imaging agent, enriching the toolbox of intraoperative navigational fluorescent probes for CRC.
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Affiliation(s)
- Shuying Chen
- Cancer Research Center, the Jiangxi Province Key Laboratory for Diagnosis, Treatment, and Rehabilitation of Cancer in Chinese Medicine, Jiangxi Engineering Research Center for Translational Cancer Technology, Jiangxi University of Chinese Medicine, Nanchang 330004, China
| | - Gang Li
- Department of Ecology and Environment, Yuzhang Normal University, Nanchang 330103, China
| | - Rongbin Pan
- Cancer Research Center, the Jiangxi Province Key Laboratory for Diagnosis, Treatment, and Rehabilitation of Cancer in Chinese Medicine, Jiangxi Engineering Research Center for Translational Cancer Technology, Jiangxi University of Chinese Medicine, Nanchang 330004, China
| | - Kuncheng Zhou
- Cancer Research Center, the Jiangxi Province Key Laboratory for Diagnosis, Treatment, and Rehabilitation of Cancer in Chinese Medicine, Jiangxi Engineering Research Center for Translational Cancer Technology, Jiangxi University of Chinese Medicine, Nanchang 330004, China
| | - Weijie Wen
- Cancer Research Center, the Jiangxi Province Key Laboratory for Diagnosis, Treatment, and Rehabilitation of Cancer in Chinese Medicine, Jiangxi Engineering Research Center for Translational Cancer Technology, Jiangxi University of Chinese Medicine, Nanchang 330004, China
| | - Ji Tao
- Human Phenome Institute, Fudan University, Shanghai 201203, China
| | - Fang Wang
- Cancer Research Center, the Jiangxi Province Key Laboratory for Diagnosis, Treatment, and Rehabilitation of Cancer in Chinese Medicine, Jiangxi Engineering Research Center for Translational Cancer Technology, Jiangxi University of Chinese Medicine, Nanchang 330004, China
| | - Ray P S Han
- Cancer Research Center, the Jiangxi Province Key Laboratory for Diagnosis, Treatment, and Rehabilitation of Cancer in Chinese Medicine, Jiangxi Engineering Research Center for Translational Cancer Technology, Jiangxi University of Chinese Medicine, Nanchang 330004, China
| | - Huaping Pan
- Cancer Research Center, the Jiangxi Province Key Laboratory for Diagnosis, Treatment, and Rehabilitation of Cancer in Chinese Medicine, Jiangxi Engineering Research Center for Translational Cancer Technology, Jiangxi University of Chinese Medicine, Nanchang 330004, China
| | - Yuanbiao Tu
- Cancer Research Center, the Jiangxi Province Key Laboratory for Diagnosis, Treatment, and Rehabilitation of Cancer in Chinese Medicine, Jiangxi Engineering Research Center for Translational Cancer Technology, Jiangxi University of Chinese Medicine, Nanchang 330004, China
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2
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Ren S, Yu C, Huang Q. Diagnostic value of combined detection of plasma cfDNA concentration and integrity in NSCLC. Lung Cancer Manag 2024; 13:LMT64. [PMID: 38812772 PMCID: PMC11131340 DOI: 10.2217/lmt-2023-0009] [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: 08/28/2023] [Accepted: 12/12/2023] [Indexed: 05/31/2024] Open
Abstract
Aim: To evaluate the value of combined detection of plasma cfDNA concentration and integrity in the early diagnosis of NSCLC. Methods: Real-time fluorescence quantitative PCR was used to determine the concentration and integrity of plasma cfDNA in 71 NSCLC patients and 53 healthy people. Results: Combined detection of plasma cfDNA concentration and integrity had higher diagnostic power in differentiating NSCLC patients with stage I/II from healthy people than detection of plasma cfDNA concentration alone or integrity alone. The AUC, sensitivity and specificity of the combined detection of plasma cfDNA concentration and integrity were 0.781, 0.62 and 0.85. Conclusion: Combined detection of plasma cfDNA concentration and integrity could improve the diagnostic value in NSCLC detection.
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Affiliation(s)
- Sai Ren
- Department of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, 400042, PR China
- Department of Laboratory Medicine, People's Hospital of Chongqing Liang Jiang New Area, Chongqing, 401121, PR China
| | - Chunli Yu
- Department of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, 400042, PR China
- Department of Laboratory Medicine, Chengdu Xinhua Hospital, Chengdu, 610055, PR China
| | - Qing Huang
- Department of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, 400042, PR China
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3
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Liu D, Yehia L, Dhawan A, Ni Y, Eng C. Cell-free DNA fragmentomics and second malignant neoplasm risk in patients with PTEN hamartoma tumor syndrome. Cell Rep Med 2024; 5:101384. [PMID: 38242121 PMCID: PMC10897513 DOI: 10.1016/j.xcrm.2023.101384] [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: 06/09/2023] [Revised: 11/01/2023] [Accepted: 12/20/2023] [Indexed: 01/21/2024]
Abstract
Individuals with PTEN hamartoma tumor syndrome (PHTS) harbor pathogenic germline PTEN variants that confer a significantly increased lifetime risk of various organ-specific cancers including second primary malignant neoplasms (SMNs). Currently, there are no reliable biomarkers that can predict individual-level cancer risk. Despite the highly promising value of cell-free DNA (cfDNA) as a biomarker for underlying sporadic cancers, the utility of cfDNA in individuals with known cancer-associated germline variants and subclinical cancers remains poorly understood. We perform ultra-low-pass whole-genome sequencing (ULP-WGS) of cfDNA from plasma samples from patients with PHTS and cancer as well as those without cancer. Analysis of cfDNA reveals that patients with PHTS and SMNs have distinct cfDNA size distribution, aberrant genome-wide fragmentation, and differential fragment end motif frequencies. Our work provides evidence that cfDNA profiles may be used as a marker for SMN risk in patients with PHTS.
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Affiliation(s)
- Darren Liu
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH 44195, USA
| | - Lamis Yehia
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Andrew Dhawan
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Rose Ella Burkhardt Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, OH 44195, USA; Center for Personalized Genetic Healthcare, Medical Specialties Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Ying Ni
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH 44195, USA; Center for Immunotherapy and Precision Immuno-oncology, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Charis Eng
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH 44195, USA; Center for Personalized Genetic Healthcare, Medical Specialties Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Department of Genetics and Genome Sciences, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA; Germline High Risk Cancer Focus Group, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH 44106, USA.
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4
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Zhang K, Fu R, Liu R, Su Z. Circulating cell-free DNA-based multi-cancer early detection. Trends Cancer 2024; 10:161-174. [PMID: 37709615 DOI: 10.1016/j.trecan.2023.08.010] [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: 07/03/2023] [Revised: 08/03/2023] [Accepted: 08/21/2023] [Indexed: 09/16/2023]
Abstract
Patients benefit considerably from early detection of cancer. Existing single-cancer tests have various limitations, which could be effectively addressed by circulating cell-free DNA (cfDNA)-based multi-cancer early detection (MCED). With sensitive detection and accurate localization of multiple cancer types at a very low and fixed false-positive rate (FPR), MCED has great potential to revolutionize early cancer detection. Herein, we review state-of-the-art approaches for cfDNA-based MCED and their limitations and discuss both technical and clinical challenges in the development and application of MCED tests. Given the constant improvements in technology and understanding of cancer biology, we propose that a cfDNA-based targeted sequencing assay that integrates multimodal features should be optimized for MCED.
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Affiliation(s)
- Kai Zhang
- Department of Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 17 South Panjiayuan Lane, Chaoyang District, Beijing 100021, China
| | - Ruiqing Fu
- Singlera Genomics Ltd, Shanghai 201203, China
| | - Rui Liu
- Singlera Genomics Ltd, Shanghai 201203, China
| | - Zhixi Su
- Singlera Genomics Ltd, Shanghai 201203, China.
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5
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Brockley LJ, Souza VGP, Forder A, Pewarchuk ME, Erkan M, Telkar N, Benard K, Trejo J, Stewart MD, Stewart GL, Reis PP, Lam WL, Martinez VD. Sequence-Based Platforms for Discovering Biomarkers in Liquid Biopsy of Non-Small-Cell Lung Cancer. Cancers (Basel) 2023; 15:cancers15082275. [PMID: 37190212 DOI: 10.3390/cancers15082275] [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: 03/07/2023] [Revised: 04/07/2023] [Accepted: 04/11/2023] [Indexed: 05/17/2023] Open
Abstract
Lung cancer detection and monitoring are hampered by a lack of sensitive biomarkers, which results in diagnosis at late stages and difficulty in tracking response to treatment. Recent developments have established liquid biopsies as promising non-invasive methods for detecting biomarkers in lung cancer patients. With concurrent advances in high-throughput sequencing technologies and bioinformatics tools, new approaches for biomarker discovery have emerged. In this article, we survey established and emerging biomarker discovery methods using nucleic acid materials derived from bodily fluids in the context of lung cancer. We introduce nucleic acid biomarkers extracted from liquid biopsies and outline biological sources and methods of isolation. We discuss next-generation sequencing (NGS) platforms commonly used to identify novel biomarkers and describe how these have been applied to liquid biopsy. We highlight emerging biomarker discovery methods, including applications of long-read sequencing, fragmentomics, whole-genome amplification methods for single-cell analysis, and whole-genome methylation assays. Finally, we discuss advanced bioinformatics tools, describing methods for processing NGS data, as well as recently developed software tailored for liquid biopsy biomarker detection, which holds promise for early diagnosis of lung cancer.
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Affiliation(s)
- Liam J Brockley
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Vanessa G P Souza
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- Molecular Oncology Laboratory, Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu 18618-687, SP, Brazil
| | - Aisling Forder
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | | | - Melis Erkan
- Department of Pathology and Laboratory Medicine, IWK Health Centre, Halifax, NS B3K 6R8, Canada
- Department of Pathology, Faculty of Medicine, Dalhousie University, Halifax, NS B3K 6R8, Canada
- Beatrice Hunter Cancer Research Institute, Halifax, NS B3H 4R2, Canada
| | - Nikita Telkar
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- British Columbia Children's Hospital Research Institute, Vancouver, BC V5Z 4H4, Canada
| | - Katya Benard
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Jessica Trejo
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Matt D Stewart
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Greg L Stewart
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Patricia P Reis
- Molecular Oncology Laboratory, Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu 18618-687, SP, Brazil
- Department of Surgery and Orthopedics, Faculty of Medicine, São Paulo State University (UNESP), Botucatu 18618-687, SP, Brazil
| | - Wan L Lam
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Victor D Martinez
- Department of Pathology and Laboratory Medicine, IWK Health Centre, Halifax, NS B3K 6R8, Canada
- Department of Pathology, Faculty of Medicine, Dalhousie University, Halifax, NS B3K 6R8, Canada
- Beatrice Hunter Cancer Research Institute, Halifax, NS B3H 4R2, Canada
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6
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Moser T, Kühberger S, Lazzeri I, Vlachos G, Heitzer E. Bridging biological cfDNA features and machine learning approaches. Trends Genet 2023; 39:285-307. [PMID: 36792446 DOI: 10.1016/j.tig.2023.01.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 01/10/2023] [Accepted: 01/19/2023] [Indexed: 02/15/2023]
Abstract
Liquid biopsies (LBs), particularly using circulating tumor DNA (ctDNA), are expected to revolutionize precision oncology and blood-based cancer screening. Recent technological improvements, in combination with the ever-growing understanding of cell-free DNA (cfDNA) biology, are enabling the detection of tumor-specific changes with extremely high resolution and new analysis concepts beyond genetic alterations, including methylomics, fragmentomics, and nucleosomics. The interrogation of a large number of markers and the high complexity of data render traditional correlation methods insufficient. In this regard, machine learning (ML) algorithms are increasingly being used to decipher disease- and tissue-specific signals from cfDNA. Here, we review recent insights into biological ctDNA features and how these are incorporated into sophisticated ML applications.
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Affiliation(s)
- Tina Moser
- Institute of Human Genetics, Diagnostic & Research Center for Molecular BioMedicine, Medical University of Graz, Neue Stiftingtalstrasse 6, 8010 Graz, Austria; Christian Doppler Laboratory for Liquid Biopsies for Early Detection of Cancer, Medical University of Graz, Graz, Austria
| | - Stefan Kühberger
- Institute of Human Genetics, Diagnostic & Research Center for Molecular BioMedicine, Medical University of Graz, Neue Stiftingtalstrasse 6, 8010 Graz, Austria; Christian Doppler Laboratory for Liquid Biopsies for Early Detection of Cancer, Medical University of Graz, Graz, Austria
| | - Isaac Lazzeri
- Institute of Human Genetics, Diagnostic & Research Center for Molecular BioMedicine, Medical University of Graz, Neue Stiftingtalstrasse 6, 8010 Graz, Austria; Christian Doppler Laboratory for Liquid Biopsies for Early Detection of Cancer, Medical University of Graz, Graz, Austria
| | - Georgios Vlachos
- Institute of Human Genetics, Diagnostic & Research Center for Molecular BioMedicine, Medical University of Graz, Neue Stiftingtalstrasse 6, 8010 Graz, Austria; Christian Doppler Laboratory for Liquid Biopsies for Early Detection of Cancer, Medical University of Graz, Graz, Austria
| | - Ellen Heitzer
- Institute of Human Genetics, Diagnostic & Research Center for Molecular BioMedicine, Medical University of Graz, Neue Stiftingtalstrasse 6, 8010 Graz, Austria; Christian Doppler Laboratory for Liquid Biopsies for Early Detection of Cancer, Medical University of Graz, Graz, Austria.
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7
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Koval AP, Khromova AS, Blagodatskikh KA, Zhitnyuk YV, Shtykova YA, Alferov AA, Kushlinskii NE, Shcherbo DS. Application of PCR-based approaches for evaluation of cell-free DNA fragmentation in colorectal cancer. Front Mol Biosci 2023; 10:1101179. [PMID: 37051326 PMCID: PMC10083340 DOI: 10.3389/fmolb.2023.1101179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 03/14/2023] [Indexed: 03/29/2023] Open
Abstract
Cell-free DNA (cfDNA) testing is the core of most liquid biopsy assays. In particular, cfDNA fragmentation features could facilitate non-invasive cancer detection due to their interconnection with tumor-specific epigenetic alterations. However, the final cfDNA fragmentation profile in a purified sample is the result of a complex interplay between informative biological and artificial technical factors. In this work, we use ddPCR to study cfDNA lengths in colorectal cancer patients and observe shorter and more variable cfDNA fragments in accessible chromatin loci compared to the densely packed pericentromeric region. We also report a convenient qPCR system suitable for screening cfDNA samples for artificial high molecular weight DNA contamination.
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Affiliation(s)
- Anastasia P. Koval
- Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Alexandra S. Khromova
- Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Konstantin A. Blagodatskikh
- Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
- Center of Genetics and Reproductive Medicine “Genetico”, Moscow, Russia
| | - Yulia V. Zhitnyuk
- Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | | | - Aleksandr A. Alferov
- Laboratory of Clinical Biochemistry, N. N. Blokhin Cancer Research Medical Center of Oncology, Moscow, Russia
| | - Nikolay E. Kushlinskii
- Laboratory of Clinical Biochemistry, N. N. Blokhin Cancer Research Medical Center of Oncology, Moscow, Russia
| | - Dmitry S. Shcherbo
- Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
- *Correspondence: Dmitry S. Shcherbo,
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8
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Gianni C, Palleschi M, Merloni F, Bleve S, Casadei C, Sirico M, Di Menna G, Sarti S, Cecconetto L, Mariotti M, De Giorgi U. Potential Impact of Preoperative Circulating Biomarkers on Individual Escalating/de-Escalating Strategies in Early Breast Cancer. Cancers (Basel) 2022; 15:96. [PMID: 36612091 PMCID: PMC9817806 DOI: 10.3390/cancers15010096] [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: 11/30/2022] [Revised: 12/18/2022] [Accepted: 12/20/2022] [Indexed: 12/28/2022] Open
Abstract
The research on non-invasive circulating biomarkers to guide clinical decision is in wide expansion, including the earliest disease settings. Several new intensification/de-intensification strategies are approaching clinical practice, personalizing the treatment for each patient. Moreover, liquid biopsy is revealing its potential with multiple techniques and studies available on circulating biomarkers in the preoperative phase. Inflammatory circulating cells, circulating tumor cells (CTCs), cell-free DNA (cfDNA), circulating tumor DNA (ctDNA), and other biological biomarkers are improving the armamentarium for treatment selection. Defining the escalation and de-escalation of treatments is a mainstay of personalized medicine in early breast cancer. In this review, we delineate the studies investigating the possible application of these non-invasive tools to give a more enlightened approach to escalating/de-escalating strategies in early breast cancer.
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Affiliation(s)
- Caterina Gianni
- Department of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy
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9
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He W, Xiao Y, Yan S, Zhu Y, Ren S. Cell-free DNA in the management of prostate cancer: Current status and future prospective. Asian J Urol 2022. [PMID: 37538150 PMCID: PMC10394290 DOI: 10.1016/j.ajur.2022.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Objective With the escalating prevalence of prostate cancer (PCa) in China, there is an urgent demand for novel diagnostic and therapeutic approaches. Extensive investigations have been conducted on the clinical implementation of circulating free DNA (cfDNA) in PCa. This review aims to provide a comprehensive overview of the present state of cfDNA as a biomarker for PCa and to examine its merits and obstacles for future clinical utilization. Methods Relevant peer-reviewed manuscripts on cfDNA as a PCa marker were evaluated by PubMed search (2010-2022) to evaluate the roles of cfDNA in PCa diagnosis, prognosis, and prediction, respectively. Results cfDNA is primarily released from cells undergoing necrosis and apoptosis, allowing for non-invasive insight into the genomic, transcriptomic, and epigenomic alterations within various PCa disease states. Next-generation sequencing, among other detection methods, enables the assessment of cfDNA abundance, mutation status, fragment characteristics, and epigenetic modifications. Multidimensional analysis based on cfDNA can facilitate early detection of PCa, risk stratification, and treatment monitoring. However, standardization of cfDNA detection methods is still required to expedite its clinical application. Conclusion cfDNA provides a non-invasive, rapid, and repeatable means of acquiring multidimensional information from PCa patients, which can aid in guiding clinical decisions and enhancing patient management. Overcoming the application barriers of cfDNA necessitates increased data sharing and international collaboration.
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10
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A method for early diagnosis of lung cancer from tumor originated DNA fragments using plasma cfDNA methylome and fragmentome profiles. Mol Cell Probes 2022; 66:101873. [PMID: 36379302 DOI: 10.1016/j.mcp.2022.101873] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 11/06/2022] [Accepted: 11/07/2022] [Indexed: 11/15/2022]
Abstract
Early detection is critical for minimizing mortality from cancer. Plasma cell-free DNA (cfDNA) contains the signatures of tumor DNA, allowing us to quantify the signature and diagnose early-stage tumors. Here, we report a novel tumor fragment quantification method, TOF (Tumor Originated Fragment) for the diagnosis of lung cancer by quantifying and analyzing both the plasma cfDNA methylation patterns and fragmentomic signatures. TOF utilizes the amount of ctDNA predicted from the methylation density information of each cfDNA read mapped on 6243 lung-tumor-specific CpG markers. The 6243 tumor-specific markers were derived from lung tumor tissues by comparing them with corresponding normal tissues and healthy blood from public methylation data. TOF also utilizes two cfDNA fragmentomic signatures: 1) the short fragment ratio, and 2) the 5' end-motif profile. We used 298 plasma samples to analyze cfDNA signatures using enzymatic methyl-sequencing data from 201 lung cancer patients and 97 healthy controls. The TOF score showed 0.98 of the area under the curve in correctly classifying lung cancer from normal samples. The TOF score resolution was high enough to clearly differentiate even the early-stage non-small cell lung cancer patients from the healthy controls. The same was true for small cell lung cancer patients.
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11
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Cell-Free DNA Fragmentomics: A Promising Biomarker for Diagnosis, Prognosis and Prediction of Response in Breast Cancer. Int J Mol Sci 2022; 23:ijms232214197. [PMID: 36430675 PMCID: PMC9695769 DOI: 10.3390/ijms232214197] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 11/04/2022] [Accepted: 11/16/2022] [Indexed: 11/18/2022] Open
Abstract
Identifying novel circulating biomarkers predictive of response and informative about the mechanisms of resistance, is the new challenge for breast cancer (BC) management. The integration of omics information will gradually revolutionize the clinical approach. Liquid biopsy is being incorporated into the diagnostic and decision-making process for the treatment of BC, in particular with the analysis of circulating tumor DNA, although with some relevant limitations, including costs. Circulating cell-free DNA (cfDNA) fragmentomics and its integrity index may become a cheaper, noninvasive biomarker that could provide significant additional information for monitoring response to systemic treatments in BC. The purpose of our review is to focus on the available research on cfDNA integrity and its features as a biomarker of diagnosis, prognosis and response to treatments in BC, highlighting new perspectives and critical issues for future applications.
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Styk J, Buglyó G, Pös O, Csók Á, Soltész B, Lukasz P, Repiská V, Nagy B, Szemes T. Extracellular Nucleic Acids in the Diagnosis and Progression of Colorectal Cancer. Cancers (Basel) 2022; 14:cancers14153712. [PMID: 35954375 PMCID: PMC9367600 DOI: 10.3390/cancers14153712] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 07/21/2022] [Accepted: 07/26/2022] [Indexed: 12/02/2022] Open
Abstract
Simple Summary Colorectal cancer (CRC) is a disease that usually shows no evident clinical symptoms in the early stages, often leading to late diagnosis. Over the past few years, a new approach based on liquid biopsy has gained far-reaching applications in less-invasive CRC diagnosis and management, allowing for the use of extracellular nucleic acids as promising biomarkers to detect CRC at an early stage and monitor disease recurrence. That is why an up-to-date review and discussion of in-depth liquid biopsy-derived DNA and RNA biomarkers is essential. We hereby offer an overview of known predisposing genetic factors for developing sporadic and hereditary CRC, and an extensive repertoire of available extracellular DNA/RNA molecules with their potential clinical applications and shortcomings. Our review may be of value to experts dealing with CRC at the molecular level as well as to clinical professionals aiming for a better understanding of state-of-the-art techniques in CRC diagnosis and management. Abstract Colorectal cancer (CRC) is the 3rd most common malignant neoplasm worldwide, with more than two million new cases diagnosed yearly. Despite increasing efforts in screening, many cases are still diagnosed at a late stage, when mortality is high. This paper briefly reviews known genetic causes of CRC (distinguishing between sporadic and familial forms) and discusses potential and confirmed nucleic acid biomarkers obtainable from liquid biopsies, classified by their molecular features, focusing on clinical relevance. We comment on advantageous aspects such as better patient compliance due to blood sampling being minimally invasive, the possibility to monitor mutation characteristics of sporadic and hereditary CRC in a disease showing genetic heterogeneity, and using up- or down-regulated circulating RNA markers to reveal metastasis or disease recurrence. Current difficulties and thoughts on some possible future directions are also discussed. We explore current evidence in the field pointing towards the introduction of personalized CRC management.
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Affiliation(s)
- Jakub Styk
- Institute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia;
- Comenius University Science Park, Comenius University, 841 04 Bratislava, Slovakia; (O.P.); (B.N.); (T.S.)
- Geneton Ltd., 841 04 Bratislava, Slovakia
- Correspondence:
| | - Gergely Buglyó
- Department of Human Genetics, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (G.B.); (Á.C.); (B.S.)
| | - Ondrej Pös
- Comenius University Science Park, Comenius University, 841 04 Bratislava, Slovakia; (O.P.); (B.N.); (T.S.)
- Geneton Ltd., 841 04 Bratislava, Slovakia
| | - Ádám Csók
- Department of Human Genetics, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (G.B.); (Á.C.); (B.S.)
| | - Beáta Soltész
- Department of Human Genetics, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (G.B.); (Á.C.); (B.S.)
| | - Peter Lukasz
- Department of Surgery, Transplantation and Gastroenterology, Semmelweis University, 1082 Budapest, Hungary;
| | - Vanda Repiská
- Institute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia;
- Medirex Group Academy, n.p.o., 949 05 Nitra, Slovakia
| | - Bálint Nagy
- Comenius University Science Park, Comenius University, 841 04 Bratislava, Slovakia; (O.P.); (B.N.); (T.S.)
- Department of Human Genetics, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (G.B.); (Á.C.); (B.S.)
| | - Tomáš Szemes
- Comenius University Science Park, Comenius University, 841 04 Bratislava, Slovakia; (O.P.); (B.N.); (T.S.)
- Geneton Ltd., 841 04 Bratislava, Slovakia
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, 842 05 Bratislava, Slovakia
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Main SC, Cescon DW, Bratman SV. Liquid biopsies to predict CDK4/6 inhibitor efficacy and resistance in breast cancer. CANCER DRUG RESISTANCE (ALHAMBRA, CALIF.) 2022; 5:727-748. [PMID: 36176758 PMCID: PMC9511796 DOI: 10.20517/cdr.2022.37] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 05/04/2022] [Accepted: 05/25/2022] [Indexed: 06/16/2023]
Abstract
Cyclin-dependent kinase 4 and 6 (CDK4/6) inhibitors combined with endocrine therapy have transformed the treatment of estrogen receptor-positive (ER+) and human epidermal growth factor receptor 2 negative (HER2-) metastatic breast cancer. However, some patients do not respond to this treatment, and patients inevitably develop resistance, such that novel biomarkers are needed to predict primary resistance, monitor treatment response for acquired resistance, and personalize treatment strategies. Circumventing the spatial and temporal limitations of tissue biopsy, newly developed liquid biopsy approaches have the potential to uncover biomarkers that can predict CDK4/6 inhibitor efficacy and resistance in breast cancer patients through a simple blood test. Studies on circulating tumor DNA (ctDNA)-based liquid biopsy biomarkers of CDK4/6 inhibitor resistance have focused primarily on genomic alterations and have failed thus far to identify clear and clinically validated predictive biomarkers, but emerging epigenetic ctDNA methodologies hold promise for further discovery. The present review outlines recent advances and future directions in ctDNA-based biomarkers of CDK4/6 inhibitor treatment response.
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Affiliation(s)
- Sasha C Main
- Princess Margaret Cancer Centre, University Health Network, Toronto M5G 2C1, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto M5G 1L7, Ontario, Canada
| | - David W Cescon
- Princess Margaret Cancer Centre, University Health Network, Toronto M5G 2C1, Ontario, Canada
- Division of Medical Oncology and Hematology, Department of Medicine, University of Toronto, Toronto M5S 1A8, Ontario, Canada
| | - Scott V Bratman
- Princess Margaret Cancer Centre, University Health Network, Toronto M5G 2C1, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto M5G 1L7, Ontario, Canada
- Department of Radiation Oncology, University of Toronto, Toronto M5T 1P5, Ontario, Canada
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Cell-Free DNA Fragmentomics in Liquid Biopsy. Diagnostics (Basel) 2022; 12:diagnostics12040978. [PMID: 35454026 PMCID: PMC9027801 DOI: 10.3390/diagnostics12040978] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Accepted: 04/11/2022] [Indexed: 11/17/2022] Open
Abstract
Cell-free DNA (cfDNA) in bodily fluids has rapidly transformed the development of noninvasive prenatal testing, cancer liquid biopsy, and transplantation monitoring. Plasma cfDNA consists of a mixture of molecules originating from various bodily tissues. The study of the fragmentation patterns of cfDNA, also referred to as ‘fragmentomics’, is now an actively pursued area of biomarker research. Clues that cfDNA fragmentation patterns might carry information concerning the tissue of origin of cfDNA molecules have come from works demonstrating that circulating fetal, tumor-derived, and transplanted liver-derived cfDNA molecules have a shorter size distribution than the background mainly of hematopoietic origin. More recently, an improved understanding of cfDNA fragmentation has provided many emerging fragmentomic markers, including fragment sizes, preferred ends, end motifs, single-stranded jagged ends, and nucleosomal footprints. The intrinsic biological link between activities of various DNA nucleases and characteristic fragmentations has been demonstrated. In this review, we focus on the biological properties of cell-free DNA unveiled recently and their potential clinical applications.
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