1
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Raskov H, Orhan A, Agerbæk MØ, Gögenur I. The impact of platelets on the metastatic potential of tumour cells. Heliyon 2024; 10:e34361. [PMID: 39114075 PMCID: PMC11305202 DOI: 10.1016/j.heliyon.2024.e34361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 07/08/2024] [Accepted: 07/08/2024] [Indexed: 08/10/2024] Open
Abstract
In cancer, activation of platelets by tumor cells is critical to disease progression. Development of precise antiplatelet targeting may improve outcomes from anticancer therapy. Alongside a distinct shift in functionality such as pro-metastatic and pro-coagulant properties, platelet production is often accelerated significantly early in carcinogenesis and the cancer-associated thrombocytosis increases the risk of metastasis formation and thromboembolic events. Tumor-activated platelets facilitate the proliferation of migrating tumor cells and shield them from immune surveillance and physical stress during circulation. Additionally, platelet-tumor cell interactions promote tumor cell intravasation, intravascular arrest, and extravasation through a repertoire of adhesion molecules, growth factors and angiogenic factors. Particularly, the presence of circulating tumor cell (CTC) clusters in association with platelets is a negative prognostic indicator. The contribution of platelets to the metastatic process is an area of intense investigation and this review provides an overview of the advances in understanding platelet-tumor cell interactions and their contribution to disease progression. Also, we review the potential of targeting platelets to interfere with the metastatic process.
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Affiliation(s)
- Hans Raskov
- Center for Surgical Science, Zealand University Hospital, Køge, Denmark
| | - Adile Orhan
- Center for Surgical Science, Zealand University Hospital, Køge, Denmark
- University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen, Denmark
| | - Mette Ørskov Agerbæk
- Centre for Translational Medicine and Parasitology, Department of Immunology and Microbiology, University of Copenhagen, Denmark
| | - Ismail Gögenur
- Center for Surgical Science, Zealand University Hospital, Køge, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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2
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Jopek MA, Pastuszak K, Sieczczyński M, Cygert S, Żaczek AJ, Rondina MT, Supernat A. Improving platelet-RNA-based diagnostics: a comparative analysis of machine learning models for cancer detection and multiclass classification. Mol Oncol 2024. [PMID: 38887841 DOI: 10.1002/1878-0261.13689] [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: 12/29/2023] [Revised: 05/15/2024] [Accepted: 06/05/2024] [Indexed: 06/20/2024] Open
Abstract
Liquid biopsy demonstrates excellent potential in patient management by providing a minimally invasive and cost-effective approach to detecting and monitoring cancer, even at its early stages. Due to the complexity of liquid biopsy data, machine-learning techniques are increasingly gaining attention in sample analysis, especially for multidimensional data such as RNA expression profiles. Yet, there is no agreement in the community on which methods are the most effective or how to process the data. To circumvent this, we performed a large-scale study using various machine-learning techniques. First, we took a closer look at existing datasets and filtered out some patients to assert data collection quality. The final data collection included platelet RNA samples acquired from 1397 cancer patients (17 types of cancer) and 354 asymptomatic, presumed healthy, donors. Then, we assessed an array of different machine-learning models and techniques (e.g., feature selection of RNA transcripts) in pan-cancer detection and multiclass classification. Our results show that simple logistic regression performs the best, reaching a 68% cancer detection rate at a 99% specificity level, and multiclass classification accuracy of 79.38% when distinguishing between five cancer types. In summary, by revisiting classical machine-learning models, we have exceeded the previously used method by 5% and 9.65% in cancer detection and multiclass classification, respectively. To ease further research, we open-source our code and data processing pipelines (https://gitlab.com/jopekmaksym/improving-platelet-rna-based-diagnostics), which we hope will serve the community as a strong baseline.
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Affiliation(s)
- Maksym A Jopek
- Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology of the University of Gdańsk and the Medical University of Gdańsk, Poland
- Centre of Biostatistics and Bioinformatics, Medical University of Gdańsk, Poland
| | - Krzysztof Pastuszak
- Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology of the University of Gdańsk and the Medical University of Gdańsk, Poland
- Centre of Biostatistics and Bioinformatics, Medical University of Gdańsk, Poland
- Department of Algorithms and Systems Modelling, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Poland
| | - Michał Sieczczyński
- Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology of the University of Gdańsk and the Medical University of Gdańsk, Poland
- Centre of Biostatistics and Bioinformatics, Medical University of Gdańsk, Poland
| | - Sebastian Cygert
- Department of Multimedia Systems, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Poland
- Ideas, NCBR, Warsaw, Poland
| | - Anna J Żaczek
- Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology of the University of Gdańsk and the Medical University of Gdańsk, Poland
| | - Matthew T Rondina
- Molecular Medicine Program, University of Utah, Salt Lake City, UT, USA
- George E. Wahlen Veterans Affairs Medical Center Department of Internal Medicine and the Geriatric Research Education and Clinical Center (GRECC), Salt Lake City, UT, USA
- Department of Pathology, University of Utah, Salt Lake City, UT, USA
- Division of General Internal Medicine, Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Anna Supernat
- Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology of the University of Gdańsk and the Medical University of Gdańsk, Poland
- Centre of Biostatistics and Bioinformatics, Medical University of Gdańsk, Poland
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3
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Bravaccini S, Boldrin E, Gurioli G, Tedaldi G, Piano MA, Canale M, Curtarello M, Ulivi P, Pilati P. The use of platelets as a clinical tool in oncology: opportunities and challenges. Cancer Lett 2024:217044. [PMID: 38876385 DOI: 10.1016/j.canlet.2024.217044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 05/17/2024] [Accepted: 06/04/2024] [Indexed: 06/16/2024]
Abstract
Platelets are small circulating anucleated cells mainly involved in thrombosis and hemostasis processes. Moreover, platelets play an active role in tumorigenesis and cancer progression, stimulating angiogenesis and vascular remodelling, and protecting circulating cancer cells from shear forces and immune surveillance. Several reports indicate that platelet number in the blood circulation of cancer patients is associated with prognosis and response to treatment. However, the mechanisms of platelets "education" by cancer cells and the crosstalk between platelets and tumor are still unclear, and the role of "tumor educated platelets" (TEPs) is achieving growing interest in cancer research. TEPs are a biological source of cancer-derived biomarkers, especially RNAs that are protected by platelets membrane from circulating RNases, and could serve as a non-invasive tool for tumor detection, molecular profiling and evolution during therapy in clinical practice. Moreover, short platelet lifespan offers the possibility to get a snapshot assessment of cancer molecular profile, providing a real-time tool. We review and discuss the potential and the clinical utility, in terms of cancer diagnosis and monitoring, of platelet count together with other morphological parameters and of the more recent and innovative TEP profiling.
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Affiliation(s)
- Sara Bravaccini
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", via P. Maroncelli 40, 47014 Meldola, Italy.
| | - Elisa Boldrin
- Immunology and Molecular Oncology Diagnostics Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padova, Italy.
| | - Giorgia Gurioli
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", via P. Maroncelli 40, 47014 Meldola, Italy.
| | - Gianluca Tedaldi
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", via P. Maroncelli 40, 47014 Meldola, Italy.
| | - Maria Assunta Piano
- Immunology and Molecular Oncology Diagnostics Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padova, Italy.
| | - Matteo Canale
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", via P. Maroncelli 40, 47014 Meldola, Italy.
| | - Matteo Curtarello
- Immunology and Molecular Oncology Diagnostics Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padova, Italy.
| | - Paola Ulivi
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", via P. Maroncelli 40, 47014 Meldola, Italy.
| | - Pierluigi Pilati
- Surgical Oncology of Digestive Tract Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padova, Italy.
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4
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Mondal D, Shinde S, Sinha V, Dixit V, Paul S, Gupta RK, Thakur S, Vishvakarma NK, Shukla D. Prospects of liquid biopsy in the prognosis and clinical management of gastrointestinal cancers. Front Mol Biosci 2024; 11:1385238. [PMID: 38770216 PMCID: PMC11103528 DOI: 10.3389/fmolb.2024.1385238] [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: 02/12/2024] [Accepted: 04/08/2024] [Indexed: 05/22/2024] Open
Abstract
Gastrointestinal (GI) cancers account for one-fourth of the global cancer incidence and are incriminated to cause one-third of cancer-related deaths. GI cancer includes esophageal, gastric, liver, pancreatic, and colorectal cancers, mostly diagnosed at advanced stages due to a lack of accurate markers for early stages. The invasiveness of diagnostic methods like colonoscopy for solid biopsy reduces patient compliance as it cannot be frequently used to screen patients. Therefore, minimally invasive approaches like liquid biopsy may be explored for screening and early identification of gastrointestinal cancers. Liquid biopsy involves the qualitative and quantitative determination of certain cancer-specific biomarkers in body fluids such as blood, serum, saliva, and urine to predict disease progression, therapeutic tolerance, toxicities, and recurrence by evaluating minimal residual disease and its correlation with other clinical features. In this review, we deliberate upon various tumor-specific cellular and molecular entities such as circulating tumor cells (CTCs), tumor-educated platelets (TEPs), circulating tumor DNA (ctDNA), cell-free DNA (cfDNA), exosomes, and exosome-derived biomolecules and cite recent advances pertaining to their use in predicting disease progression, therapy response, or risk of relapse. We also discuss the technical challenges associated with translating liquid biopsy into clinical settings for various clinical applications in gastrointestinal cancers.
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Affiliation(s)
- Deepankar Mondal
- Department of Biotechnology, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh, India
| | - Sapnita Shinde
- Department of Biotechnology, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh, India
| | - Vibha Sinha
- Department of Biotechnology, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh, India
| | - Vineeta Dixit
- Department of Botany, Sri Sadguru Jagjit Singh Namdhari College, Garhwa, Jharkhand, India
| | - Souvik Paul
- Department of Surgical Gastroenterology, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India
| | - Rakesh Kumar Gupta
- Department of Pathology and Lab Medicine, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India
| | | | | | - Dhananjay Shukla
- Department of Biotechnology, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh, India
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Giannoukakos S, D'Ambrosi S, Koppers-Lalic D, Gómez-Martín C, Fernandez A, Hackenberg M. Assessing the complementary information from an increased number of biologically relevant features in liquid biopsy-derived RNA-Seq data. Heliyon 2024; 10:e27360. [PMID: 38515664 PMCID: PMC10955244 DOI: 10.1016/j.heliyon.2024.e27360] [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: 11/25/2023] [Revised: 02/20/2024] [Accepted: 02/28/2024] [Indexed: 03/23/2024] Open
Abstract
Liquid biopsy-derived RNA sequencing (lbRNA-seq) exhibits significant promise for clinic-oriented cancer diagnostics due to its non-invasiveness and ease of repeatability. Despite substantial advancements, obstacles like technical artefacts and process standardisation impede seamless clinical integration. Alongside addressing technical aspects such as normalising fluctuating low-input material and establishing a standardised clinical workflow, the lack of result validation using independent datasets remains a critical factor contributing to the often low reproducibility of liquid biopsy-detected biomarkers. Considering the outlined drawbacks, our objective was to establish a workflow/methodology characterised by: 1. Harness the rich diversity of biological features accessible through lbRNA-seq data, encompassing a holistic range of molecular and functional attributes. These components are seamlessly integrated via a Machine Learning-based Ensemble Classification framework, enabling a unified and comprehensive analysis of the intricate information encoded within the data. 2. Implementing and rigorously benchmarking intra-sample normalisation methods to heighten their relevance within clinical settings. 3. Thoroughly assessing its efficacy across independent test sets to ascertain its robustness and potential utility. Using ten datasets from several studies comprising three different sources of biological material, we first show that while the best-performing normalisation methods depend strongly on the dataset and coupled Machine Learning method, the rather simple Counts Per Million method is generally very robust, showing comparable performance to cross-sample methods. Subsequently, we demonstrate that the innovative biofeature types introduced in this study, such as the Fraction of Canonical Transcript, harbour complementary information. Consequently, their inclusion consistently enhances prediction power compared to models relying solely on gene expression-based biofeatures. Finally, we demonstrate that the workflow is robust on completely independent datasets, generally from different labs and/or different protocols. Taken together, the workflow presented here outperforms generally employed methods in prediction accuracy and may hold potential for clinical diagnostics application due to its specific design.
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Affiliation(s)
- Stavros Giannoukakos
- Department of Genetics, Faculty of Science, University of Granada, Granada, 18071, Spain
- Bioinformatics Laboratory, Biomedical Research Centre (CIBM), PTS, Granada, 18100, Spain
- Excellence Research Unit “Modeling Nature” (MNat), University of Granada, Spain
| | - Silvia D'Ambrosi
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, VU University, Amsterdam, 1081HV, the Netherlands
| | | | - Cristina Gómez-Martín
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, 1081HV, the Netherlands
| | - Alberto Fernandez
- Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, 18071, Spain
| | - Michael Hackenberg
- Department of Genetics, Faculty of Science, University of Granada, Granada, 18071, Spain
- Bioinformatics Laboratory, Biomedical Research Centre (CIBM), PTS, Granada, 18100, Spain
- Excellence Research Unit “Modeling Nature” (MNat), University of Granada, Spain
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6
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Wang Y, Dong A, Jin M, Li S, Duan Y. TEP RNA: a new frontier for early diagnosis of NSCLC. J Cancer Res Clin Oncol 2024; 150:97. [PMID: 38372784 PMCID: PMC10876732 DOI: 10.1007/s00432-024-05620-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: 12/11/2023] [Accepted: 01/10/2024] [Indexed: 02/20/2024]
Abstract
BACKGROUND Non-small cell lung cancer (NSCLC) is the most common type of lung cancer (LC), which is the leading cause of tumor mortality. In recent years, compared with tissue biopsy, which is the diagnostic gold standard for tumor diagnosis, Liquid biopsy (LB) is considered to be a more minimally invasive, sensitive, and safer alternative or auxiliary diagnostic method. However, the current value of LB in early diagnosis of LC is not ideal, so it is particularly important to study the changes in blood composition during the process of tumorigenesis and find more sensitive biomarkers. PURPOSE Platelets are a type of abundant blood cells that carry a large amount of RNA. In the LC regulatory network, activated platelets play an important role in the process of tumorigenesis, development, and metastasis. In order to identify predictive liquid biopsy biomarkers for the diagnosis of NSCLC, we summarized the development and function of platelets, the interaction between platelets and tumors, the value of TEP RNA in diagnosis, prognosis, and treatment of NSCLC, and the method for detecting TEP RNA of NSCLC in this article. CONCLUSION The application of platelets in the diagnosis and treatment of NSCLC remains at a nascent stage. In addition to the drawbacks of low platelet count and complex experimental processes, the diagnostic accuracy of TEP RNA-seq for cancer in different populations still needs to be improved and validated. At present, a large number of studies have confirmed significant differences in the expression of TEP RNA in platelets between NSCLC patients and healthy individuals. Continuous exploration of the diagnostic value of TEP RNA in NSCLC is of utmost importance. The integration of NSCLC platelet-related markers with other NSCLC markers can improve current tumor diagnosis and prognostic evaluation systems, providing broad prospects in tumor screening, disease monitoring, and prognosis assessment.
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Affiliation(s)
- Yuan Wang
- Clinical Laboratory, The First Affiliated Hospital of Weifang Medical University (Weifang People's Hospital), Weifang Medical University, Weifang, 261000, Shandong, China
- Department of Clinical Laboratory Science, Weifang Medical University, Weifang, 261000, Shandong, China
| | - Aiping Dong
- Clinical Laboratory, The First Affiliated Hospital of Weifang Medical University (Weifang People's Hospital), Weifang Medical University, Weifang, 261000, Shandong, China
| | - Minhan Jin
- Clinical Laboratory, The First Affiliated Hospital of Weifang Medical University (Weifang People's Hospital), Weifang Medical University, Weifang, 261000, Shandong, China
- Department of Clinical Laboratory Science, Weifang Medical University, Weifang, 261000, Shandong, China
| | - Shirong Li
- Clinical Laboratory, The First Affiliated Hospital of Weifang Medical University (Weifang People's Hospital), Weifang Medical University, Weifang, 261000, Shandong, China.
| | - Yang Duan
- Clinical Laboratory, The First Affiliated Hospital of Weifang Medical University (Weifang People's Hospital), Weifang Medical University, Weifang, 261000, Shandong, China.
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7
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Rozumenko V, Liubich L, Pedachenko E, Staino L, Egorova D, Kot L, Malysheva T. SYSTEMIC INFLAMMATORY INDICES IN PATIENTS WITH MALIGNANT GLIOMAS AND EFFECTS OF PLATELET SECRETOME IN VITRO. Exp Oncol 2024; 45:409-420. [PMID: 38328849 DOI: 10.15407/exp-oncology.2023.04.409] [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: 02/01/2024] [Indexed: 02/09/2024]
Abstract
BACKGROUND To date, no significant clinical progress has been achieved in the treatment of brain malignant gliomas (MG), and the active search for non-invasive circulating biomarkers continues. The prognostic significance of the ratio of the main peripheral blood cell populations of patients with MG is evaluated. Considerable attention is paid to the secretome of platelets (Pt) of peripheral blood. AIM To evaluate the indicators of the peripheral blood cell population ratios in patients with brain MG and to study the influence of the secretome of Pt (SPt) of the peripheral blood of patients with brain MG in cell cultures in vitro. MATERIALS AND METHODS We studied samples of peripheral blood from patients with glioma CNS WHO grade G2 (n = 5), G3 (n = 12), and G4 (n = 20). The peripheral blood cell counts were analyzed in the preoperative period on an automatic hematology analyzer. The in vitro study of SPt was performed on the U251 human glioblastoma cell line cultured with SPt from MG patients or SPt pre-incubated with anti-TGF-β1 antibody. Cell cultures were observed for 72 h, and mitotic index (MI) was calculated. RESULTS In MG patients, the count of peripheral blood leukocytes and neutrophils increased (p < 0.05). The neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) increased by 2-3 times compared to control. Nevertheless, correlation analysis did not reveal significant relationships between quantitative indicators of peripheral blood cells and the tumor malignancy degree in MG patients. The MI in U251 cells increased under the influence of SPt from patients with MG (p < 0.021), correlated with the tumor degree of malignancy (r = 0.246, p = 0.014). Pre-incubation of SPt with anti-TGF-β1 antibody tends to neutralize this promitotic effect. CONCLUSION In MG patients, the integral indicators of NLR and SII increased but no significant relationship with the degree of tumor malignancy was found. In U251 cells, promitotic effects of SPt of MG patients partially decreased by anti-TGF-β1 antibody.
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Affiliation(s)
- V Rozumenko
- State Institution "Romodanov Neurosurgery Institute, National Academy of Medical Sciences of Ukraine", Kyiv, Ukraine
| | - L Liubich
- State Institution "Romodanov Neurosurgery Institute, National Academy of Medical Sciences of Ukraine", Kyiv, Ukraine
| | - E Pedachenko
- State Institution "Romodanov Neurosurgery Institute, National Academy of Medical Sciences of Ukraine", Kyiv, Ukraine
| | - L Staino
- State Institution "Romodanov Neurosurgery Institute, National Academy of Medical Sciences of Ukraine", Kyiv, Ukraine
| | - D Egorova
- State Institution "Romodanov Neurosurgery Institute, National Academy of Medical Sciences of Ukraine", Kyiv, Ukraine
| | - L Kot
- State Institution "Romodanov Neurosurgery Institute, National Academy of Medical Sciences of Ukraine", Kyiv, Ukraine
| | - T Malysheva
- State Institution "Romodanov Neurosurgery Institute, National Academy of Medical Sciences of Ukraine", Kyiv, Ukraine
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Thomas S, Kelliher S, Krishnan A. Heterogeneity of platelets and their responses. Res Pract Thromb Haemost 2024; 8:102356. [PMID: 38666061 PMCID: PMC11043642 DOI: 10.1016/j.rpth.2024.102356] [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: 11/18/2023] [Revised: 01/22/2024] [Accepted: 02/06/2024] [Indexed: 04/28/2024] Open
Abstract
There has been increasing recognition of heterogeneity in blood platelets and their responses, particularly in recent years, where next-generation technologies and advanced bioinformatic tools that interrogate "big data" have enabled large-scale studies of RNA and protein expression across a growing list of disease states. However, pioneering platelet biologists and clinicians were already hypothesizing upon and investigating heterogeneity in platelet (and megakaryocyte) activity and platelet metabolism and aggregation over half a century ago. Building on their foundational hypotheses, in particular Professor Marian A. Packham's pioneering work and a State of the Art lecture in her memoriam at the 2023 International Society on Thrombosis and Haemostasis Congress by Anandi Krishnan, this review outlines the key features that contribute to the heterogeneity of platelets between and within individuals. Starting with important epidemiologic factors, we move stepwise through successively smaller scales down to heterogeneity revealed by single-cell technologies in health and disease. We hope that this overview will urge future scientific and clinical studies to recognize and account for heterogeneity of platelets and aim to apply methods that capture that heterogeneity. Finally, we summarize other exciting new data presented on this topic at the 2023 International Society on Thrombosis and Haemostasis Congress.
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Affiliation(s)
- Sally Thomas
- Sheffield Teaching Hospitals, National Health Services, Sheffield, UK
| | - Sarah Kelliher
- School of Medicine, University College Dublin, Dublin, Ireland
| | - Anandi Krishnan
- Stanford University School of Medicine, Stanford University, Stanford, California, USA
- Rutgers University, Piscataway, New Jersey, USA
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9
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Muller M, Best MG, van der Noort V, Hiltermann TJN, Niemeijer ALN, Post E, Sol N, In 't Veld SGJG, Nogarede T, Visser L, Schouten RD, van den Broek D, Hummelink K, Monkhorst K, de Langen AJ, Schuuring E, Smit EF, Groen HJM, Wurdinger T, van den Heuvel MM. Blood platelet RNA profiles do not enable for nivolumab response prediction at baseline in patients with non-small cell lung cancer. Tumour Biol 2024; 46:S327-S340. [PMID: 37270827 DOI: 10.3233/tub-220037] [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: 06/06/2023] Open
Abstract
BACKGROUND Anti-PD-(L)1 immunotherapy has emerged as a promising treatment approach for non-small cell lung cancer (NSCLC), though the response rates remain low. Pre-treatment response prediction may improve patient allocation for immunotherapy. Blood platelets act as active immune-like cells, thereby constraining T-cell activity, propagating cancer metastasis, and adjusting their spliced mRNA content. OBJECTIVE We investigated whether platelet RNA profiles before start of nivolumab anti-PD1 immunotherapy may predict treatment responses. METHODS We performed RNA-sequencing of platelet RNA samples isolated from stage III-IV NSCLC patients before treatment with nivolumab. Treatment response was scored by the RECIST-criteria. Data were analyzed using a predefined thromboSeq analysis including a particle-swarm-enhanced support vector machine (PSO/SVM) classification algorithm. RESULTS We collected and processed a 286-samples cohort, separated into a training/evaluation and validation series and subjected those to training of the PSO/SVM-classification algorithm. We observed only low classification accuracy in the 107-samples validation series (area under the curve (AUC) training series: 0.73 (95% -CI: 0.63-0.84, n = 88 samples), AUC evaluation series: 0.64 (95% -CI: 0.51-0.76, n = 91 samples), AUC validation series: 0.58 (95% -CI: 0.45-0.70, n = 107 samples)), employing a five-RNAs biomarker panel. CONCLUSIONS We concluded that platelet RNA may have minimally discriminative capacity for anti-PD1 nivolumab response prediction, with which the current methodology is insufficient for diagnostic application.
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Affiliation(s)
- Mirte Muller
- Department of Thoracic Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Myron G Best
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan, Amsterdam, the Netherlands
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | | | - T Jeroen N Hiltermann
- Department of Pulmonary Diseases, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Anna-Larissa N Niemeijer
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Pulmonary Medicine, Boelelaan, Amsterdam, The Netherlands
| | - Edward Post
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan, Amsterdam, the Netherlands
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | - Nik Sol
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
- Department of Neurology, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Sjors G J G In 't Veld
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan, Amsterdam, the Netherlands
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | - Tineke Nogarede
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Lisanne Visser
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan, Amsterdam, the Netherlands
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | - Robert D Schouten
- Department of Thoracic Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Daan van den Broek
- Department of Laboratory Medicine, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Karlijn Hummelink
- Department of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Kim Monkhorst
- Department of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Adrianus J de Langen
- Department of Thoracic Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Pulmonary Medicine, Boelelaan, Amsterdam, The Netherlands
| | - Ed Schuuring
- Department of Pathology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Egbert F Smit
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Pulmonary Medicine, Boelelaan, Amsterdam, The Netherlands
- Department of Pulmonary Medicine LUMC, Leiden, The Netherlands
| | - Harry J M Groen
- Department of Pulmonary Diseases, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Thomas Wurdinger
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan, Amsterdam, the Netherlands
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | - Michel M van den Heuvel
- Department of Thoracic Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Respiratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
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10
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Robinson SD, de Boisanger J, Pearl FMG, Critchley G, Rosenfelder N, Giamas G. A brain metastasis liquid biopsy: Where are we now? Neurooncol Adv 2024; 6:vdae066. [PMID: 38770219 PMCID: PMC11102938 DOI: 10.1093/noajnl/vdae066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2024] Open
Abstract
Brain metastases remain a challenging and feared complication for patients with cancer and research in this area has lagged behind research into metastases to other organs. Due to their location and the risks associated with neurosurgical biopsies, the biology underpinning brain metastases response to treatment and evolution over time remains poorly understood. Liquid biopsies are proposed to overcome many of the limitations present with tissue biopsies, providing a better representation of tumor heterogeneity, facilitating repeated sampling, and providing a noninvasive assessment of tumor biology. Several different liquid biopsy approaches have been investigated including circulating tumor cells, circulating tumor DNA, extracellular vesicles, and tumor-educated platelets; however, these have generally been less effective in assessing brain metastases compared to metastases to other organs requiring improved techniques to investigate these approaches, studies combining different liquid biopsy approaches and/or novel liquid biopsy approaches. Through this review, we highlight the current state of the art and define key unanswered questions related to brain metastases liquid biopsies.
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Affiliation(s)
- Stephen David Robinson
- Sussex Cancer Centre, University Hospitals Sussex NHS Foundation Trust, Brighton, UK
- Department of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, Falmer, Brighton, UK
| | - James de Boisanger
- Neuro-Oncology Unit, The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - Frances M G Pearl
- Department of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, Falmer, Brighton, UK
| | - Giles Critchley
- Department of Neurosurgery, University Hospitals Sussex NHS Foundation Trust, Brighton, UK
- Section of Neurosurgery, Department of Surgical Sciences, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Nicola Rosenfelder
- Neuro-Oncology Unit, The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - Georgios Giamas
- Department of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, Falmer, Brighton, UK
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11
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Chen P, Wang P, Gao B. The application value of deep learning in the background of precision medicine in glioblastoma. Sci Prog 2024; 107:368504231223353. [PMID: 38262933 PMCID: PMC10807326 DOI: 10.1177/00368504231223353] [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] [Indexed: 01/25/2024]
Abstract
Introduction: Glioblastoma is a highly malignant central nervous system tumor, World Health Organization Ⅳ, glioblastoma is the most common primary malignancy, due to its own specificity and complexity, different patients often benefit from the current conventional treatment regimen because of different molecular subtypes, in the context of precision medicine, the application of deep learning to identify the salient features of tumors on brain imaging, prognostic predictive assessment combined with clinical data to maximize the benefits of each patient from the treatment regimen is a non-invasive and feasible regimen. Methods: We conducted a comprehensive review of the existing literature on the role of deep learning in glioblastomas, covering molecular classification and diagnosis, prognosis assessment. Results: Data based on a variety of magnetic resonance imaging sequences, genetic information, and clinical combinations enable noninvasive predictive tumor diagnosis of glioblastoma and assess overall survival and treatment response accuracy. For images, standardized image acquisition and data extraction techniques can be effectively translated into learning models for clinical practice. However, it must be recognized that interventions in the treatment of glioblastoma using deep learning are still in their infancy, and the robustness of the model is challenged, as the current total number of glioblastoma samples is insufficient for large-scale experimental methods, which is directly related to the difficulty of application of the model. Conclusion: Compared to radiomics and shallow machine learning, deep learning can be a more robust, non-invasive, and effective approach, providing more valuable information as clinicians develop personalized medical protocols for glioblastoma patients.
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Affiliation(s)
- Pengyu Chen
- Department of Radiology, The Affiliated Hospital of Guizhou Medical University, Guizhou, China
| | - Ping Wang
- Key Laboratory of Brain Imaging, Guizhou Medical University, Guiyang, China
| | - Bo Gao
- Department of Neurology, The Affiliated Hospital of Guizhou Medical University, Guizhou, China
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12
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Foster JB, Koptyra MP, Bagley SJ. Recent Developments in Blood Biomarkers in Neuro-oncology. Curr Neurol Neurosci Rep 2023; 23:857-867. [PMID: 37943477 DOI: 10.1007/s11910-023-01321-y] [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] [Accepted: 10/31/2023] [Indexed: 11/10/2023]
Abstract
PURPOSE OF REVIEW Given the invasive and high-risk nature of brain surgery, the need for non-invasive biomarkers obtained from the peripheral blood is greatest in tumors of the central nervous system (CNS). In this comprehensive review, we highlight recent advances in blood biomarker development for adult and pediatric brain tumors. RECENT FINDINGS We summarize recent blood biomarker development for CNS tumors across multiple key analytes, including peripheral blood mononuclear cells, cell-free DNA, cell-free RNA, proteomics, circulating tumor cells, and tumor-educated platelets. We also discuss methods for enhancing blood biomarker detection through transient opening of the blood-brain barrier. Although blood-based biomarkers are not yet used in routine neuro-oncology practice, this field is advancing rapidly and holds great promise for improved and non-invasive management of patients with brain tumors. Prospective and adequately powered studies are needed to confirm the clinical utility of any blood biomarker prior to widespread clinical implementation.
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Affiliation(s)
- Jessica B Foster
- Division of Oncology, Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mateusz P Koptyra
- Center for Data-Driven Discovery in Biomedicine (D3b), Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Stephen J Bagley
- Division of Hematology/Oncology, Hospital of the University of Pennsylvania, Perelman School of Medicine, University of Pennsylvania, 10th Floor Perelman Center, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA.
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13
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Zhao J, Huang A, Zeller J, Peter K, McFadyen JD. Decoding the role of platelets in tumour metastasis: enigmatic accomplices and intricate targets for anticancer treatments. Front Immunol 2023; 14:1256129. [PMID: 38106409 PMCID: PMC10722285 DOI: 10.3389/fimmu.2023.1256129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 11/15/2023] [Indexed: 12/19/2023] Open
Abstract
The canonical role of platelets as central players in cardiovascular disease by way of their fundamental role in mediating thrombosis and haemostasis is well appreciated. However, there is now a large body of experimental evidence demonstrating that platelets are also pivotal in various physiological and pathophysiological processes other than maintaining haemostasis. Foremost amongst these is the emerging data highlighting the key role of platelets in driving cancer growth, metastasis and modulating the tumour microenvironment. As such, there is significant interest in targeting platelets therapeutically for the treatment of cancer. Therefore, the purpose of this review is to provide an overview of how platelets contribute to the cancer landscape and why platelets present as valuable targets for the development of novel cancer diagnosis tools and therapeutics.
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Affiliation(s)
- Jessie Zhao
- Department of Clinical Haematology, Alfred Hospital, Melbourne, VI, Australia
- Australian Centre for Blood Diseases, Monash University, Melbourne, VI, Australia
| | - Angela Huang
- Atherothrombosis and Vascular Biology Laboratory, Baker Heart and Diabetes Institute, Melbourne, VI, Australia
| | - Johannes Zeller
- Atherothrombosis and Vascular Biology Laboratory, Baker Heart and Diabetes Institute, Melbourne, VI, Australia
- Department of Plastic and Hand Surgery, Medical Center – University of Freiburg, Medical Faculty of the University of Freiburg, Freiburg, Germany
| | - Karlheinz Peter
- Atherothrombosis and Vascular Biology Laboratory, Baker Heart and Diabetes Institute, Melbourne, VI, Australia
- Department of Cardiology, Alfred Hospital, Melbourne, VI, Australia
- Department of Cardiometabolic Health, The University of Melbourne, Parkville, VI, Australia
- Department of Medicine, Monash University, Melbourne, VI, Australia
| | - James D. McFadyen
- Department of Clinical Haematology, Alfred Hospital, Melbourne, VI, Australia
- Australian Centre for Blood Diseases, Monash University, Melbourne, VI, Australia
- Atherothrombosis and Vascular Biology Laboratory, Baker Heart and Diabetes Institute, Melbourne, VI, Australia
- Department of Cardiometabolic Health, The University of Melbourne, Parkville, VI, Australia
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14
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Trivedi R, Bhat KP. Liquid biopsy: creating opportunities in brain space. Br J Cancer 2023; 129:1727-1746. [PMID: 37752289 PMCID: PMC10667495 DOI: 10.1038/s41416-023-02446-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 09/10/2023] [Accepted: 09/15/2023] [Indexed: 09/28/2023] Open
Abstract
In recent years, liquid biopsy has emerged as an alternative method to diagnose and monitor tumors. Compared to classical tissue biopsy procedures, liquid biopsy facilitates the repetitive collection of diverse cellular and acellular analytes from various biofluids in a non/minimally invasive manner. This strategy is of greater significance for high-grade brain malignancies such as glioblastoma as the quantity and accessibility of tumors are limited, and there are collateral risks of compromised life quality coupled with surgical interventions. Currently, blood and cerebrospinal fluid (CSF) are the most common biofluids used to collect circulating cells and biomolecules of tumor origin. These liquid biopsy analytes have created opportunities for real-time investigations of distinct genetic, epigenetic, transcriptomics, proteomics, and metabolomics alterations associated with brain tumors. This review describes different classes of liquid biopsy biomarkers present in the biofluids of brain tumor patients. Moreover, an overview of the liquid biopsy applications, challenges, recent technological advances, and clinical trials in the brain have also been provided.
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Affiliation(s)
- Rakesh Trivedi
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Krishna P Bhat
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
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15
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Kulkarni A, Bazou D, Santos-Martinez MJ. Bleeding and Thrombosis in Multiple Myeloma: Platelets as Key Players during Cell Interactions and Potential Use as Drug Delivery Systems. Int J Mol Sci 2023; 24:15855. [PMID: 37958838 PMCID: PMC10647631 DOI: 10.3390/ijms242115855] [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: 09/27/2023] [Revised: 10/25/2023] [Accepted: 10/29/2023] [Indexed: 11/15/2023] Open
Abstract
Multiple myeloma (MM) is a hematological malignancy originated in the bone marrow and characterized by unhindered plasma cell proliferation that results in several clinical manifestations. Although the main role of blood platelets lies in hemostasis and thrombosis, platelets also play a pivotal role in a number of other pathological conditions. Platelets are the less-explored components from the tumor microenvironment in MM. Although some studies have recently revealed that MM cells have the ability to activate platelets even in the premalignant stage, this phenomenon has not been widely investigated in MM. Moreover, thrombocytopenia, along with bleeding, is commonly observed in those patients. In this review, we discuss the hemostatic disturbances observed in MM patients and the dynamic interaction between platelets and myeloma cells, along with present and future potential avenues for the use of platelets for diagnostic and therapeutic purposes.
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Affiliation(s)
- Anushka Kulkarni
- The School of Pharmacy and Pharmaceutical Sciences, Trinity College Dublin, The University of Dublin, D02 PN40 Dublin, Ireland;
| | - Despina Bazou
- School of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland;
| | - Maria José Santos-Martinez
- The School of Pharmacy and Pharmaceutical Sciences, Trinity College Dublin, The University of Dublin, D02 PN40 Dublin, Ireland;
- School of Medicine, Trinity College Dublin, D02 R590 Dublin, Ireland
- Trinity Biomedical Sciences Institute, Trinity College Dublin, D02 R590 Dublin, Ireland
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16
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Eslami-S Z, Cortés-Hernández LE, Glogovitis I, Antunes-Ferreira M, D’Ambrosi S, Kurma K, Garima F, Cayrefourcq L, Best MG, Koppers-Lalic D, Wurdinger T, Alix-Panabières C. In vitro cross-talk between metastasis-competent circulating tumor cells and platelets in colon cancer: a malicious association during the harsh journey in the blood. Front Cell Dev Biol 2023; 11:1209846. [PMID: 37601099 PMCID: PMC10433913 DOI: 10.3389/fcell.2023.1209846] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 07/24/2023] [Indexed: 08/22/2023] Open
Abstract
Background: Platelets are active players in hemostasis, coagulation and also tumorigenesis. The cross-talk between platelets and circulating tumor cells (CTCs) may have various pro-cancer effects, including promoting tumor growth, epithelial-mesenchymal transition (EMT), metastatic cell survival, adhesion, arrest and also pre-metastatic niche and metastasis formation. Interaction with CTCs might alter the platelet transcriptome. However, as CTCs are rare events, the cross-talk between CTCs and platelets is poorly understood. Here, we used our established colon CTC lines to investigate the colon CTC-platelet cross-talk in vitro and its impact on the behavior/phenotype of both cell types. Methods: We exposed platelets isolated from healthy donors to thrombin (positive control) or to conditioned medium from three CTC lines from one patient with colon cancer and then we monitored the morphological and protein expression changes by microscopy and flow cytometry. We then analyzed the transcriptome by RNA-sequencing of platelets indirectly (presence of a Transwell insert) co-cultured with the three CTC lines. We also quantified by reverse transcription-quantitative PCR the expression of genes related to EMT and cancer development in CTCs after direct co-culture (no Transwell insert) with platelets. Results: We observed morphological and transcriptomic changes in platelets upon exposure to CTC conditioned medium and indirect co-culture (secretome). Moreover, the expression levels of genes involved in EMT (p < 0.05) were decreased in CTCs co-cultured with platelets, but not of genes encoding mesenchymal markers (FN1 and SNAI2). The expression levels of genes involved in cancer invasiveness (MYC, VEGFB, IL33, PTGS2, and PTGER2) were increased. Conclusion: For the first time, we studied the CTC-platelet cross-talk using our unique colon CTC lines. Incubation with CTC conditioned medium led to platelet aggregation and activation, supporting the hypothesis that their interaction may contribute to preserve CTC integrity during their journey in the bloodstream. Moreover, co-culture with platelets influenced the expression of several genes involved in invasiveness and EMT maintenance in CTCs.
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Affiliation(s)
- Zahra Eslami-S
- Laboratory of Rare Circulating Human Cells—University Medical Center of Montpellier, Montpellier, France
- CREEC/CANECEV, MIVEGEC (CREES), Université de Montpellier, Centre National de la Recherche Scientifique, Institut de Recherche pour le Développement, Montpellier, France
- European Liquid Biopsy Society (ELBS), Hamburg, Germany
| | - Luis Enrique Cortés-Hernández
- Laboratory of Rare Circulating Human Cells—University Medical Center of Montpellier, Montpellier, France
- CREEC/CANECEV, MIVEGEC (CREES), Université de Montpellier, Centre National de la Recherche Scientifique, Institut de Recherche pour le Développement, Montpellier, France
- European Liquid Biopsy Society (ELBS), Hamburg, Germany
| | - Ilias Glogovitis
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Cancer Center Amsterdam, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Brain Tumor Center Amsterdam, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Mafalda Antunes-Ferreira
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Cancer Center Amsterdam, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Brain Tumor Center Amsterdam, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Silvia D’Ambrosi
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Cancer Center Amsterdam, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Brain Tumor Center Amsterdam, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Keerthi Kurma
- Laboratory of Rare Circulating Human Cells—University Medical Center of Montpellier, Montpellier, France
- CREEC/CANECEV, MIVEGEC (CREES), Université de Montpellier, Centre National de la Recherche Scientifique, Institut de Recherche pour le Développement, Montpellier, France
- European Liquid Biopsy Society (ELBS), Hamburg, Germany
| | - Françoise Garima
- Laboratory of Rare Circulating Human Cells—University Medical Center of Montpellier, Montpellier, France
- CREEC/CANECEV, MIVEGEC (CREES), Université de Montpellier, Centre National de la Recherche Scientifique, Institut de Recherche pour le Développement, Montpellier, France
- European Liquid Biopsy Society (ELBS), Hamburg, Germany
| | - Laure Cayrefourcq
- Laboratory of Rare Circulating Human Cells—University Medical Center of Montpellier, Montpellier, France
- CREEC/CANECEV, MIVEGEC (CREES), Université de Montpellier, Centre National de la Recherche Scientifique, Institut de Recherche pour le Développement, Montpellier, France
- European Liquid Biopsy Society (ELBS), Hamburg, Germany
| | - Myron G. Best
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Cancer Center Amsterdam, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Brain Tumor Center Amsterdam, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | | | - Thomas Wurdinger
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Cancer Center Amsterdam, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Brain Tumor Center Amsterdam, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Catherine Alix-Panabières
- Laboratory of Rare Circulating Human Cells—University Medical Center of Montpellier, Montpellier, France
- CREEC/CANECEV, MIVEGEC (CREES), Université de Montpellier, Centre National de la Recherche Scientifique, Institut de Recherche pour le Développement, Montpellier, France
- European Liquid Biopsy Society (ELBS), Hamburg, Germany
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17
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Huber LT, Kraus JM, Ezić J, Wanli A, Groth M, Laban S, Hoffmann TK, Wollenberg B, Kestler HA, Brunner C. Liquid biopsy: an examination of platelet RNA obtained from head and neck squamous cell carcinoma patients for predictive molecular tumor markers. EXPLORATION OF TARGETED ANTI-TUMOR THERAPY 2023; 4:422-446. [PMID: 37455825 PMCID: PMC10344902 DOI: 10.37349/etat.2023.00143] [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: 11/16/2022] [Accepted: 03/01/2023] [Indexed: 07/18/2023] Open
Abstract
Aim Recently, a tumor cell-platelet interaction was identified in different tumor entities, resulting in a transfer of tumor-derived RNA into platelets, named further "tumor-educated platelets (TEP)". The present pilot study aims to investigate whether such a tumor-platelet transfer of RNA occurs also in patients suffering from head and neck squamous cell carcinoma (HNSCC). Methods Sequencing analysis of RNA derived from platelets of tumor patients (TPs) and healthy donors (HDs) were performed. Subsequently, quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was used for verification of differentially expressed genes in platelets from TPs and HDs in a second cohort of patients and HDs. Data were analyzed by applying bioinformatic tools. Results Sequencing of RNA derived from the tumor as well as from platelets of TPs and HDs revealed 426 significantly differentially existing RNA, at which 406 RNA were more and 20 RNA less abundant in platelets from TPs in comparison to that of HDs. In TPs' platelets, abundantly existing RNA coding for 49 genes were detected, characteristically expressed in epithelial cells and RNA, the products of which are involved in tumor progression. Applying bioinformatic tools and verification on a second TP/HD cohort, collagen type I alpha 1 chain (COL1A1) and zinc finger protein 750 (ZNF750) were identified as the strongest potentially platelet-RNA-sequencing (RNA-seq)-based biomarkers for HNSCC. Conclusions These results indicate a transfer of tumor-derived messenger RNA (mRNA) into platelets of HNSCC patients. Therefore, analyses of a patient's platelet RNA could be an efficient option for liquid biopsy in order to diagnose HNSCC or to monitor tumorigenesis as well as therapeutic responses at any time and in real time.
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Affiliation(s)
- Lisa T. Huber
- Department of Oto-Rhino-Laryngology, Head and Neck Surgery, Ulm University Medical Center, 89075 Ulm, Germany
| | - Johann M. Kraus
- Institute of Medical Systems Biology, Ulm University, 89081 Ulm, Germany
| | - Jasmin Ezić
- Department of Oto-Rhino-Laryngology, Head and Neck Surgery, Ulm University Medical Center, 89075 Ulm, Germany
| | - Amin Wanli
- Department of Oto-Rhino-Laryngology, Head and Neck Surgery, Ulm University Medical Center, 89075 Ulm, Germany
| | - Marco Groth
- Leibniz Institute of Aging – Fritz Lipmann Institute, CF DNA sequencing, 07745 Jena, Germany
| | - Simon Laban
- Department of Oto-Rhino-Laryngology, Head and Neck Surgery, Ulm University Medical Center, 89075 Ulm, Germany
| | - Thomas K. Hoffmann
- Department of Oto-Rhino-Laryngology, Head and Neck Surgery, Ulm University Medical Center, 89075 Ulm, Germany
| | - Barbara Wollenberg
- Clinic for Otorhinolaryngology, Head and Neck Surgery, Technical University of Munich, 80333 Munich, Germany
| | - Hans A. Kestler
- Institute of Medical Systems Biology, Ulm University, 89081 Ulm, Germany
| | - Cornelia Brunner
- Department of Oto-Rhino-Laryngology, Head and Neck Surgery, Ulm University Medical Center, 89075 Ulm, Germany
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18
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Antunes-Ferreira M, D'Ambrosi S, Arkani M, Post E, In 't Veld SGJG, Ramaker J, Zwaan K, Kucukguzel ED, Wedekind LE, Griffioen AW, Oude Egbrink M, Kuijpers MJE, van den Broek D, Noske DP, Hartemink KJ, Sabrkhany S, Bahce I, Sol N, Bogaard HJ, Koppers-Lalic D, Best MG, Wurdinger T. Tumor-educated platelet blood tests for Non-Small Cell Lung Cancer detection and management. Sci Rep 2023; 13:9359. [PMID: 37291189 PMCID: PMC10250384 DOI: 10.1038/s41598-023-35818-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: 01/11/2023] [Accepted: 05/24/2023] [Indexed: 06/10/2023] Open
Abstract
Liquid biopsy approaches offer a promising technology for early and minimally invasive cancer detection. Tumor-educated platelets (TEPs) have emerged as a promising liquid biopsy biosource for the detection of various cancer types. In this study, we processed and analyzed the TEPs collected from 466 Non-small Cell Lung Carcinoma (NSCLC) patients and 410 asymptomatic individuals (controls) using the previously established thromboSeq protocol. We developed a novel particle-swarm optimization machine learning algorithm which enabled the selection of an 881 RNA biomarker panel (AUC 0.88). Herein we propose and validate in an independent cohort of samples (n = 558) two approaches for blood samples testing: one with high sensitivity (95% NSCLC detected) and another with high specificity (94% controls detected). Our data explain how TEP-derived spliced RNAs may serve as a biomarker for minimally-invasive clinical blood tests, complement existing imaging tests, and assist the detection and management of lung cancer patients.
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Affiliation(s)
- Mafalda Antunes-Ferreira
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | - Silvia D'Ambrosi
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | - Mohammad Arkani
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Department of Pulmonary Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
- Department of Biomedical Data Science, Leiden University Medical Center, Leiden, The Netherlands
| | - Edward Post
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | - Sjors G J G In 't Veld
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | - Jip Ramaker
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | - Kenn Zwaan
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | - Ece Demirel Kucukguzel
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | - Laurine E Wedekind
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | - Arjan W Griffioen
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Department of Medical Oncology, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Mirjam Oude Egbrink
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | - Marijke J E Kuijpers
- Department of Biochemistry, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | - Daan van den Broek
- Department of Laboratory Medicine, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - David P Noske
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | - Koen J Hartemink
- Department of Thoracic Surgery, The Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Siamack Sabrkhany
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | - Idris Bahce
- Department of Pulmonary Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Nik Sol
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
- Department of Neurology, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Harm-Jan Bogaard
- Department of Pulmonary Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | | | - Myron G Best
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | - Thomas Wurdinger
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
- Cancer Center Amsterdam, Amsterdam, The Netherlands.
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands.
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Menna G, Piaser Guerrato G, Bilgin L, Ceccarelli GM, Olivi A, Della Pepa GM. Is There a Role for Machine Learning in Liquid Biopsy for Brain Tumors? A Systematic Review. Int J Mol Sci 2023; 24:9723. [PMID: 37298673 PMCID: PMC10253654 DOI: 10.3390/ijms24119723] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 06/12/2023] Open
Abstract
The paucity of studies available in the literature on brain tumors demonstrates that liquid biopsy (LB) is not currently applied for central nervous system (CNS) cancers. The purpose of this systematic review focused on the application of machine learning (ML) to LB for brain tumors to provide practical guidance for neurosurgeons to understand the state-of-the-art practices and open challenges. The herein presented study was conducted in accordance with the PRISMA-P (preferred reporting items for systematic review and meta-analysis protocols) guidelines. An online literature search was launched on PubMed/Medline, Scopus, and Web of Science databases using the following query: "((Liquid biopsy) AND (Glioblastoma OR Brain tumor) AND (Machine learning OR Artificial Intelligence))". The last database search was conducted in April 2023. Upon the full-text review, 14 articles were included in the study. These were then divided into two subgroups: those dealing with applications of machine learning to liquid biopsy in the field of brain tumors, which is the main aim of this review (n = 8); and those dealing with applications of machine learning to liquid biopsy in the diagnosis of other tumors (n = 6). Although studies on the application of ML to LB in the field of brain tumors are still in their infancy, the rapid development of new techniques, as evidenced by the increase in publications on the subject in the past two years, may in the future allow for rapid, accurate, and noninvasive analysis of tumor data. Thus making it possible to identify key features in the LB samples that are associated with the presence of a brain tumor. These features could then be used by doctors for disease monitoring and treatment planning.
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20
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Zhang Q, Bi Z, Song X, Zhang Y, Wang S, Xie L, Song X. Tumor-educated platelet SNORA58, SNORA68 and SNORD93 as novel diagnostic biomarkers for esophageal cancer. Future Oncol 2023; 19:651-661. [PMID: 37129021 DOI: 10.2217/fon-2023-0129] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2023] Open
Abstract
Aim: The purpose of this study was to evaluate whether tumor-educated platelet (TEP) snoRNAs could be used as a diagnostic biomarker for esophageal cancer (ESCA). Methods: Platelet precipitates were obtained from platelet-rich plasma by low-speed centrifugation, and total RNA was extracted from platelets using Trizol™ reagent. RT-qPCR was used to detect snoRNA expression, and the receiver operating characteristic was used to assess its diagnostic potential. Results: SNORA58, SNORA68 and SNORD93 were significantly upregulated in TEPs from ESCA patients and early-stage patients compared with healthy controls. Importantly, the three snoRNAs were capable of serving as circulating biomarkers of diagnostics and early diagnosis of ESCA, possessing areas under the curve of 0.846 and 0.857, respectively. Conclusion: TEP SNORA58, SNORA68 and SNORD93 could potentially serve as noninvasive biomarkers for diagnosis and early diagnosis of ESCA.
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Affiliation(s)
- Qianru Zhang
- Department of Clinical Laboratory, Shandong Cancer Hospital & Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, PR China
| | - Zhao Bi
- Breast Cancer Center, Shandong Cancer Hospital and Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, PR China
| | - Xingguo Song
- Department of Clinical Laboratory, Shandong Cancer Hospital & Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, PR China
| | - Yue Zhang
- Department of Clinical Laboratory, Shandong Cancer Hospital & Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, PR China
| | - Shiwen Wang
- Department of Clinical Laboratory, Shandong Cancer Hospital & Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, PR China
| | - Li Xie
- Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital & Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, PR China
| | - Xianrang Song
- Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital & Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, PR China
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Cygert S, Pastuszak K, Górski F, Sieczczyński M, Juszczyk P, Rutkowski A, Lewalski S, Różański R, Jopek MA, Jassem J, Czyżewski A, Wurdinger T, Best MG, Żaczek AJ, Supernat A. Platelet-Based Liquid Biopsies through the Lens of Machine Learning. Cancers (Basel) 2023; 15:cancers15082336. [PMID: 37190262 DOI: 10.3390/cancers15082336] [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: 03/09/2023] [Revised: 04/11/2023] [Accepted: 04/13/2023] [Indexed: 05/17/2023] Open
Abstract
Liquid biopsies offer minimally invasive diagnosis and monitoring of cancer disease. This biosource is often analyzed using sequencing, which generates highly complex data that can be used using machine learning tools. Nevertheless, validating the clinical applications of such methods is challenging. It requires: (a) using data from many patients; (b) verifying potential bias concerning sample collection; and (c) adding interpretability to the model. In this work, we have used RNA sequencing data of tumor-educated platelets (TEPs) and performed a binary classification (cancer vs. no-cancer). First, we compiled a large-scale dataset with more than a thousand donors. Further, we used different convolutional neural networks (CNNs) and boosting methods to evaluate the classifier performance. We have obtained an impressive result of 0.96 area under the curve. We then identified different clusters of splice variants using expert knowledge from the Kyoto Encyclopedia of Genes and Genomes (KEGG). Employing boosting algorithms, we identified the features with the highest predictive power. Finally, we tested the robustness of the models using test data from novel hospitals. Notably, we did not observe any decrease in model performance. Our work proves the great potential of using TEP data for cancer patient classification and opens the avenue for profound cancer diagnostics.
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Affiliation(s)
- Sebastian Cygert
- Department of Multimedia Systems, Faculty of Electronics, Telecommunication and Informatics, Gdansk University of Technology, 80-233 Gdańsk, Poland
- Ideas NCBR, 00-801 Warsaw, Poland
| | - Krzysztof Pastuszak
- Department of Algorithms and System Modeling, Faculty of Electronics, Telecommunication and Informatics, Gdansk University of Technology, 80-233 Gdańsk, Poland
- Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology, Medical University of Gdańsk, 80-210 Gdańsk, Poland
- Center of Biostatistics and Bioinformatics, Medical University of Gdańsk, 80-210 Gdańsk, Poland
| | - Franciszek Górski
- Department of Multimedia Systems, Faculty of Electronics, Telecommunication and Informatics, Gdansk University of Technology, 80-233 Gdańsk, Poland
| | - Michał Sieczczyński
- Department of Multimedia Systems, Faculty of Electronics, Telecommunication and Informatics, Gdansk University of Technology, 80-233 Gdańsk, Poland
| | - Piotr Juszczyk
- Department of Multimedia Systems, Faculty of Electronics, Telecommunication and Informatics, Gdansk University of Technology, 80-233 Gdańsk, Poland
| | - Antoni Rutkowski
- Department of Multimedia Systems, Faculty of Electronics, Telecommunication and Informatics, Gdansk University of Technology, 80-233 Gdańsk, Poland
| | - Sebastian Lewalski
- Department of Multimedia Systems, Faculty of Electronics, Telecommunication and Informatics, Gdansk University of Technology, 80-233 Gdańsk, Poland
| | | | - Maksym Albin Jopek
- Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology, Medical University of Gdańsk, 80-210 Gdańsk, Poland
- Center of Biostatistics and Bioinformatics, Medical University of Gdańsk, 80-210 Gdańsk, Poland
| | - Jacek Jassem
- Department of Oncology and Radiotherapy, Medical University of Gdańsk, 80-210 Gdańsk, Poland
| | - Andrzej Czyżewski
- Department of Multimedia Systems, Faculty of Electronics, Telecommunication and Informatics, Gdansk University of Technology, 80-233 Gdańsk, Poland
| | - Thomas Wurdinger
- Department of Neurosurgery, Amsterdam University Medical Center, 1081 Amsterdam, The Netherlands
| | - Myron G Best
- Department of Neurosurgery, Amsterdam University Medical Center, 1081 Amsterdam, The Netherlands
| | - Anna J Żaczek
- Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology, Medical University of Gdańsk, 80-210 Gdańsk, Poland
| | - Anna Supernat
- Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology, Medical University of Gdańsk, 80-210 Gdańsk, Poland
- Center of Biostatistics and Bioinformatics, Medical University of Gdańsk, 80-210 Gdańsk, Poland
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22
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Combinatorial Blood Platelets-Derived circRNA and mRNA Signature for Early-Stage Lung Cancer Detection. Int J Mol Sci 2023; 24:ijms24054881. [PMID: 36902312 PMCID: PMC10003255 DOI: 10.3390/ijms24054881] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/21/2023] [Accepted: 02/21/2023] [Indexed: 03/06/2023] Open
Abstract
Despite the diversity of liquid biopsy transcriptomic repertoire, numerous studies often exploit only a single RNA type signature for diagnostic biomarker potential. This frequently results in insufficient sensitivity and specificity necessary to reach diagnostic utility. Combinatorial biomarker approaches may offer a more reliable diagnosis. Here, we investigated the synergistic contributions of circRNA and mRNA signatures derived from blood platelets as biomarkers for lung cancer detection. We developed a comprehensive bioinformatics pipeline permitting an analysis of platelet-circRNA and mRNA derived from non-cancer individuals and lung cancer patients. An optimal selected signature is then used to generate the predictive classification model using machine learning algorithm. Using an individual signature of 21 circRNA and 28 mRNA, the predictive models reached an area under the curve (AUC) of 0.88 and 0.81, respectively. Importantly, combinatorial analysis including both types of RNAs resulted in an 8-target signature (6 mRNA and 2 circRNA), enhancing the differentiation of lung cancer from controls (AUC of 0.92). Additionally, we identified five biomarkers potentially specific for early-stage detection of lung cancer. Our proof-of-concept study presents the first multi-analyte-based approach for the analysis of platelets-derived biomarkers, providing a potential combinatorial diagnostic signature for lung cancer detection.
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23
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Connal S, Cameron JM, Sala A, Brennan PM, Palmer DS, Palmer JD, Perlow H, Baker MJ. Liquid biopsies: the future of cancer early detection. J Transl Med 2023; 21:118. [PMID: 36774504 PMCID: PMC9922467 DOI: 10.1186/s12967-023-03960-8] [Citation(s) in RCA: 48] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 02/01/2023] [Indexed: 02/13/2023] Open
Abstract
Cancer is a worldwide pandemic. The burden it imposes grows steadily on a global scale causing emotional, physical, and financial strains on individuals, families, and health care systems. Despite being the second leading cause of death worldwide, many cancers do not have screening programs and many people with a high risk of developing cancer fail to follow the advised medical screening regime due to the nature of the available screening tests and other challenges with compliance. Moreover, many liquid biopsy strategies being developed for early detection of cancer lack the sensitivity required to detect early-stage cancers. Early detection is key for improved quality of life, survival, and to reduce the financial burden of cancer treatments which are greater at later stage detection. This review examines the current liquid biopsy market, focusing in particular on the strengths and drawbacks of techniques in achieving early cancer detection. We explore the clinical utility of liquid biopsy technologies for the earlier detection of solid cancers, with a focus on how a combination of various spectroscopic and -omic methodologies may pave the way for more efficient cancer diagnostics.
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Affiliation(s)
- Siobhan Connal
- Dxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW UK ,grid.11984.350000000121138138Department of Pure and Applied Chemistry, Thomas Graham Building, University of Strathclyde, 295 Cathedral Street, Glasgow, G11XL UK
| | - James M. Cameron
- Dxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW UK
| | - Alexandra Sala
- Dxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW UK
| | - Paul M. Brennan
- grid.4305.20000 0004 1936 7988Translational Neurosurgery, Centre for Clinical Brain Sciences, 49 Little France Crescent, University of Edinburgh, Edinburgh, EH16 4BS UK
| | - David S. Palmer
- Dxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW UK ,grid.11984.350000000121138138Department of Pure and Applied Chemistry, Thomas Graham Building, University of Strathclyde, 295 Cathedral Street, Glasgow, G11XL UK
| | - Joshua D. Palmer
- grid.412332.50000 0001 1545 0811Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA
| | - Haley Perlow
- grid.412332.50000 0001 1545 0811Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA
| | - Matthew J. Baker
- Dxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW UK ,grid.11984.350000000121138138Department of Pure and Applied Chemistry, Thomas Graham Building, University of Strathclyde, 295 Cathedral Street, Glasgow, G11XL UK ,grid.7943.90000 0001 2167 3843School of Medicine, Faculty of Clinical and Biomedical Sciences, University of Central Lancashire, Preston, PR1 2HE UK
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24
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Liefaard MC, Moore KS, Mulder L, van den Broek D, Wesseling J, Sonke GS, Wessels LFA, Rookus M, Lips EH. Tumour-educated platelets for breast cancer detection: biological and technical insights. Br J Cancer 2023; 128:1572-1581. [PMID: 36765174 PMCID: PMC10070267 DOI: 10.1038/s41416-023-02174-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 01/14/2023] [Accepted: 01/19/2023] [Indexed: 02/12/2023] Open
Abstract
BACKGROUND Studies have shown that blood platelets contain tumour-specific mRNA profiles tumour-educated platelets (TEPs). Here, we aim to train a TEP-based breast cancer detection classifier. METHODS Platelet mRNA was sequenced from 266 women with stage I-IV breast cancer and 212 female controls from 6 hospitals. A particle swarm optimised support vector machine (PSO-SVM) and an elastic net-based classifier (EN) were trained on 71% of the study population. Classifier performance was evaluated in the remainder (29%) of the population, followed by validation in an independent set (37 cases and 36 controls). Potential confounding was assessed in post hoc analyses. RESULTS Both classifiers reached an area under the curve (AUC) of 0.85 upon internal validation. Reproducibility in the independent validation set was poor with an AUC of 0.55 and 0.54 for the PSO-SVM and EN classifier, respectively. Post hoc analyses indicated that 19% of the variance in gene expression was associated with hospital. Genes related to platelet activity were differentially expressed between hospitals. CONCLUSIONS We could not validate two TEP-based breast cancer classifiers in an independent validation cohort. The TEP protocol is sensitive to within-protocol variation and revision might be necessary before TEPs can be reconsidered for breast cancer detection.
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Affiliation(s)
- Marte C Liefaard
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Kat S Moore
- Division of Molecular Carcinogenesis, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Lennart Mulder
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Daan van den Broek
- Department of Clinical Chemistry, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Jelle Wesseling
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.,Department of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.,Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
| | - Gabe S Sonke
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Lodewyk F A Wessels
- Division of Molecular Carcinogenesis, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands.,Department of EEMCS, Delft University of Technology, Delft, The Netherlands
| | - Matti Rookus
- Department of Psychosocial and Epidemiology Research, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Esther H Lips
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
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25
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Mulder FI, Kraaijpoel N, Carrier M, Guman NA, Jara-Palomares L, Di Nisio M, Ageno W, Beyer-Westendorf J, Klok FA, Vanassche T, Otten HMB, Cosmi B, Wolde MT, In 't Veld SGJG, Post E, Ramaker J, Zwaan K, Peters M, Delluc A, Kamphuisen PW, Sanchez-Lopez V, Porreca E, Bossuyt PMM, Büller HR, Wurdinger T, Best MG, van Es N. Platelet RNA sequencing for cancer screening in patients with unprovoked venous thromboembolism: a prospective cohort study. J Thromb Haemost 2023; 21:905-916. [PMID: 36841648 DOI: 10.1016/j.jtha.2023.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 12/15/2022] [Accepted: 01/05/2023] [Indexed: 01/12/2023]
Abstract
BACKGROUND Platelet RNA sequencing has been shown to accurately detect cancer in previous studies. OBJECTIVES To compare the diagnostic accuracy of platelet RNA sequencing with standard-of-care limited cancer screening in patients with unprovoked venous thromboembolism (VTE). METHODS Patients aged ≥40 years with unprovoked VTE were recruited at 13 centers and followed for 12 months for cancer. Participants underwent standard-of-care limited cancer screening, and platelet RNA sequencing analysis was performed centrally at study end for cases and selected controls. Sensitivity and specificity were calculated, using the predefined primary positivity threshold of 0.54 for platelet RNA sequencing aiming at 86% test sensitivity, and an additional predefined threshold of 0.89 aiming at 99% test specificity. RESULTS A total of 476 participants were enrolled, of whom 25 (5.3%) were diagnosed with cancer during 12-month follow-up. For each cancer patient, 3 cancer-free patients were randomly selected for the analysis. The sensitivity of limited screening was 72% (95% CI, 52-86) at a specificity of 91% (95% CI, 82-95). The area under the receiver operator characteristic for platelet RNA sequencing was 0.54 (95% CI, 0.41-0.66). At the primary positivity threshold, all patients had a positive test, for a sensitivity estimated at 100% (95% CI, 87-99) and a specificity of 8% (95% CI, 3.7-16.4). At the secondary threshold, sensitivity was 68% (95% CI, 48-83; p value compared with limited screening 0.71) at a specificity of 36% (95% CI, 26-47). CONCLUSION Platelet RNA sequencing had poor diagnostic accuracy for detecting occult cancer in patients with unprovoked VTE with the current algorithm.
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Affiliation(s)
- Frits I Mulder
- Amsterdam UMC location University of Amsterdam, Department of Vascular Medicine, Amsterdam, the Netherlands; Department of Internal Medicine, Tergooi Hospital, Hilversum, the Netherlands; Amsterdam Cardiovascular Sciences, Pulmonary Hypertension & Thrombosis, Amsterdam, the Netherlands.
| | - Noémie Kraaijpoel
- Amsterdam UMC location University of Amsterdam, Department of Vascular Medicine, Amsterdam, the Netherlands; Amsterdam Cardiovascular Sciences, Pulmonary Hypertension & Thrombosis, Amsterdam, the Netherlands
| | - Marc Carrier
- Department of Medicine, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Noori A Guman
- Amsterdam UMC location University of Amsterdam, Department of Vascular Medicine, Amsterdam, the Netherlands; Department of Internal Medicine, Tergooi Hospital, Hilversum, the Netherlands; Amsterdam Cardiovascular Sciences, Pulmonary Hypertension & Thrombosis, Amsterdam, the Netherlands
| | - Luis Jara-Palomares
- Medical Surgical Unit of Respiratory Diseases, Virgen del Rocio Hospital, Seville, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Marcello Di Nisio
- Department of Medicine and Ageing Sciences, Gabriele D'Annunzio University, Chieti, Italy
| | - Walter Ageno
- Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Jan Beyer-Westendorf
- Thrombosis Research Unit, Department of Medicine I, Division Hematology, University Hospital "Carl Gustav Carus," Dresden, Germany
| | - Frederikus A Klok
- Department of Medicine - Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands
| | - Thomas Vanassche
- Department of Cardiovascular Sciences, University Hospitals Leuven, Leuven, Belgium
| | - Hans-Martin B Otten
- Department of Internal Medicine, Meander Medisch Centrum, Amersfoort, the Netherlands
| | - Benilde Cosmi
- Department of Angiology and Blood Coagulation, S. Orsola-Malpighi University Hospital, IRCSS -University of Bologna, Bologna, Italy
| | - Marije Ten Wolde
- Department of Internal Medicine, Flevo Hospital, Almere, the Netherlands
| | - Sjors G J G In 't Veld
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Edward Post
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Jip Ramaker
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Kenn Zwaan
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Mike Peters
- Department of Internal Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Aurélien Delluc
- Department of Medicine, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Pieter W Kamphuisen
- Amsterdam UMC location University of Amsterdam, Department of Vascular Medicine, Amsterdam, the Netherlands; Department of Internal Medicine, Tergooi Hospital, Hilversum, the Netherlands
| | - Veronica Sanchez-Lopez
- Medical Surgical Unit of Respiratory Diseases, Virgen del Rocio Hospital, Seville, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Ettore Porreca
- Department of Innovative Technologies in Medicine and Dentistry, University "G. d'Annunzio" of Chieti-Pescara, Chieti, Italy
| | - Patrick M M Bossuyt
- Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Harry R Büller
- Amsterdam UMC location University of Amsterdam, Department of Vascular Medicine, Amsterdam, the Netherlands; Amsterdam Cardiovascular Sciences, Pulmonary Hypertension & Thrombosis, Amsterdam, the Netherlands
| | - Thomas Wurdinger
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Myron G Best
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Nick van Es
- Amsterdam UMC location University of Amsterdam, Department of Vascular Medicine, Amsterdam, the Netherlands; Amsterdam Cardiovascular Sciences, Pulmonary Hypertension & Thrombosis, Amsterdam, the Netherlands
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26
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Zhang Q, Song X, Song X. Contents in tumor-educated platelets as the novel biosource for cancer diagnostics. Front Oncol 2023; 13:1165600. [PMID: 37139159 PMCID: PMC10151018 DOI: 10.3389/fonc.2023.1165600] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 03/30/2023] [Indexed: 05/05/2023] Open
Abstract
Liquid biopsy, a powerful non-invasive test, has been widely used in cancer diagnosis and treatment. Platelets, the second most abundant cells in peripheral blood, are becoming one of the richest sources of liquid biopsy with the capacity to systematically and locally respond to the presence of cancer and absorb and store circulating proteins and different types of nucleic acids, thus called "tumor-educated platelets (TEPs)". The contents of TEPs are significantly and specifically altered, empowering them with the potential as cancer biomarkers. The current review focuses on the alternation of TEP content, including coding and non-coding RNA and proteins, and their role in cancer diagnostics.
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Affiliation(s)
- Qianru Zhang
- Department of Clinical Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Xianrang Song
- Department of Clinical Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Xingguo Song
- Department of Clinical Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
- *Correspondence: Xingguo Song,
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27
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Allam S, Nasr K, Khalid F, Shah Z, Khan Suheb MZ, Mulla S, Vikash S, Bou Zerdan M, Anwer F, Chaulagain CP. Liquid biopsies and minimal residual disease in myeloid malignancies. Front Oncol 2023; 13:1164017. [PMID: 37213280 PMCID: PMC10196237 DOI: 10.3389/fonc.2023.1164017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 04/25/2023] [Indexed: 05/23/2023] Open
Abstract
Minimal residual disease (MRD) assessment through blood component sampling by liquid biopsies (LBs) is increasingly being investigated in myeloid malignancies. Blood components then undergo molecular analysis by flow cytometry or sequencing techniques and can be used as a powerful tool for prognostic and predictive purposes in myeloid malignancies. There is evidence and more is evolving about the quantification and identification of cell-based and gene-based biomarkers in myeloid malignancies to monitor treatment response. MRD based acute myeloid leukemia protocol and clinical trials are currently incorporating LB testing and preliminary results are encouraging for potential widespread use in clinic in the near future. MRD monitoring using LBs are not standard in myelodysplastic syndrome (MDS) but this is an area of active investigation. In the future, LBs can replace more invasive techniques such as bone marrow biopsies. However, the routine clinical application of these markers continues to be an issue due to lack of standardization and limited number of studies investigating their specificities. Integrating artificial intelligence (AI) could help simplify the complex interpretation of molecular testing and reduce errors related to operator dependency. Though the field is rapidly evolving, the applicability of MRD testing using LB is mostly limited to research setting at this time due to the need for validation, regulatory approval, payer coverage, and cost issues. This review focuses on the types of biomarkers, most recent research exploring MRD and LB in myeloid malignancies, ongoing clinical trials, and the future of LB in the setting of AI.
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Affiliation(s)
- Sabine Allam
- Department of Medicine and Medical Sciences, University of Balamand, Dekwaneh, Lebanon
| | - Kristina Nasr
- Department of Medicine and Medical Sciences, University of Balamand, Dekwaneh, Lebanon
| | - Farhan Khalid
- Department of Internal Medicine, Monmouth Medical Center, Long Branch, NJ, United States
| | - Zunairah Shah
- Department of Internal Medicine, Weiss Memorial Hospital, Chicago, IL, United States
| | | | - Sana Mulla
- Department of Internal Medicine, St Mary’s Medical Center, Apple Valley, CA, United States
| | - Sindhu Vikash
- Department of Medicine, Jacobi Medical center/AECOM Bronx, Bronx, NY, United States
| | - Maroun Bou Zerdan
- Department of Internal Medicine, SUNY Upstate Medical University, New York, NY, United States
| | - Faiz Anwer
- Department of Hematology and Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH, United States
| | - Chakra P. Chaulagain
- Department of Hematology and Oncology, Maroone Cancer Center, Cleveland Clinic Florida, Weston, FL, United States
- *Correspondence: Chakra P. Chaulagain,
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Application of tumor-educated platelets as new fluid biopsy markers in various tumors. CLINICAL & TRANSLATIONAL ONCOLOGY : OFFICIAL PUBLICATION OF THE FEDERATION OF SPANISH ONCOLOGY SOCIETIES AND OF THE NATIONAL CANCER INSTITUTE OF MEXICO 2023; 25:114-125. [PMID: 36284061 DOI: 10.1007/s12094-022-02937-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 08/22/2022] [Indexed: 01/07/2023]
Abstract
The incidence of malignant tumors is increasing year by year. Early detection and diagnosis of malignant tumors can improve the prognosis of patients and prolong their life. Pathological biopsy is the current gold standard for diagnosis, but the results of pathological biopsy are affected by the sampling site and cannot fully reflect the nature of the disease. Moreover, the invasive nature of pathological biopsy limits repeated detection. Liquid biopsies are non-invasive and can be used for early detection and monitoring of tumors, which considered to represent a promising tool. Platelets make themselves to be one of the richest liquid biopsy sources by the capacity to take up proteins and nucleic acids and alter their megakaryocyte-derived transcripts and proteins in response to external signals, which are called tumor-educated platelets (TEPs). In this article, we will review the application of tumor-educated platelets in various malignancies (nasopharyngeal carcinoma, prostate cancer, lung cancer, glioblastoma, colorectal cancer, pancreas cancer, ovarian cancer, sarcoma, breast cancer and hepatocellular carcinoma) and provide theoretical basis for the research of TEPs in tumor diagnosis, monitoring and treatment.
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29
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Xiang Y, Xiang P, Zhang L, Li Y, Zhang J. A narrative review for platelets and their RNAs in cancers: New concepts and clinical perspectives. Medicine (Baltimore) 2022; 101:e32539. [PMID: 36596034 PMCID: PMC9803462 DOI: 10.1097/md.0000000000032539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Recent years have witnessed a growing body of evidence suggesting that platelets are involved in several stages of the metastatic process via direct or indirect interactions with cancer cells, contributing to the progression of neoplastic malignancies. Cancer cells can dynamically exchange components with platelets in and out of blood vessels, and directly phagocytose platelets to hijack their proteome, transcriptome, and secretome, or be remotely regulated by metabolites or microparticles released by platelets, resulting in phenotypic, genetic, and functional modifications. Moreover, platelet interactions with stromal and immune cells in the tumor microenvironment lead to alterations in their components, including the ribonucleic acid (RNA) profile, and complicate the impact of platelets on cancers. A deeper understanding of the roles of platelets and their RNAs in cancer will contribute to the development of anticancer strategies and the optimization of clinical management. Encouragingly, advances in high-throughput sequencing, bioinformatics data analysis, and machine learning have allowed scientists to explore the potential of platelet RNAs for cancer diagnosis, prognosis, and guiding treatment. However, the clinical application of this technique remains controversial and requires larger, multicenter studies with standardized protocols. Here, we integrate the latest evidence to provide a broader insight into the role of platelets in cancer progression and management, and propose standardized recommendations for the clinical utility of platelet RNAs to facilitate translation and benefit patients.
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Affiliation(s)
- Yunhui Xiang
- Department of Laboratory Medicine and Sichuan Provincial Key Laboratory for Human Disease Gene Study, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Pinpin Xiang
- Department of Laboratory Medicine, Xiping Community Health Service Center of Longquanyi District Chengdu City, Chengdu, China
| | - Liuyun Zhang
- Department of Laboratory Medicine and Sichuan Provincial Key Laboratory for Human Disease Gene Study, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Yanying Li
- Department of Laboratory Medicine and Sichuan Provincial Key Laboratory for Human Disease Gene Study, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Juan Zhang
- Department of Laboratory Medicine and Sichuan Provincial Key Laboratory for Human Disease Gene Study, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- * Correspondence: Juan Zhang, Department of Laboratory Medicine and Sichuan Provincial Key Laboratory for Human Disease Gene Study, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, 32# West Second Section, First Ring Road, Qingyang District, Chengdu City, Sichuan Province 610072, China (e-mail: )
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30
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Post E, Sol N, Best MG, Wurdinger T. Blood platelets as an RNA biomarker platform for neuro-oncological diseases. Neurooncol Adv 2022; 4:ii61-ii65. [DOI: 10.1093/noajnl/vdac043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Blood-based liquid biopsies are an upcoming approach for earlier cancer detection, diagnostics, prognostics, therapy-response prediction, and therapy monitoring, including in patients with tumors of the central nervous system. Among these, liquid biopsies are plasma-derived markers such as cell-free DNA, RNA and proteins, extracellular vesicles, circulating glioma cells, immune cells, and blood platelets. Blood platelets are involved in the local and systemic response to the presence of cancer, thereby sequestering and splicing RNAs, which may be clinically useful as blood-based biomarkers. In this review, we discuss the available literature regarding the role of blood platelets in gliomas and provide suggestions for future research efforts.
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Affiliation(s)
- Edward Post
- Brain Tumor Center Amsterdam , Amsterdam , The Netherlands
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery , Boelelaan 1117, Amsterdam , the Netherlands
- Cancer Center Amsterdam and Liquid Biopsy Center , Amsterdam , the Netherlands
| | - Nik Sol
- Brain Tumor Center Amsterdam , Amsterdam , The Netherlands
- Cancer Center Amsterdam and Liquid Biopsy Center , Amsterdam , the Netherlands
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurology , Boelelaan 1117, Amsterdam , the Netherlands
| | - Myron G Best
- Brain Tumor Center Amsterdam , Amsterdam , The Netherlands
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery , Boelelaan 1117, Amsterdam , the Netherlands
- Cancer Center Amsterdam and Liquid Biopsy Center , Amsterdam , the Netherlands
| | - Thomas Wurdinger
- Brain Tumor Center Amsterdam , Amsterdam , The Netherlands
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery , Boelelaan 1117, Amsterdam , the Netherlands
- Cancer Center Amsterdam and Liquid Biopsy Center , Amsterdam , the Netherlands
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31
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Short SC, Noushmehr H. Unmet need for liquid biomarkers and the Brain-Liquid Biopsy Consortium. Neurooncol Adv 2022; 4:ii1-ii3. [PMID: 36380869 PMCID: PMC9650471 DOI: 10.1093/noajnl/vdac020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/07/2023] Open
Affiliation(s)
- Susan C Short
- Department of Oncology, Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds, UK
| | - Houtan Noushmehr
- Department of Neurosurgery, Henry Ford Health System, Detroit, Michigan, USA
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32
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Shah UJ, Alsulimani A, Ahmad F, Mathkor DM, Alsaieedi A, Harakeh S, Nasiruddin M, Haque S. Bioplatforms in liquid biopsy: advances in the techniques for isolation, characterization and clinical applications. Biotechnol Genet Eng Rev 2022; 38:339-383. [PMID: 35968863 DOI: 10.1080/02648725.2022.2108994] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Tissue biopsy analysis has conventionally been the gold standard for cancer prognosis, diagnosis and prediction of responses/resistances to treatments. The existing biopsy procedures used in clinical practice are, however, invasive, painful and often associated with pitfalls like poor recovery of tumor cells and infeasibility for repetition in single patients. To circumvent these limitations, alternative non-invasive, rapid and economical, yet sturdy, consistent and dependable, biopsy techniques are required. Liquid biopsy is an emerging technology that fulfills these criteria and potentially much more in terms of subject-specific real-time monitoring of cancer progression, determination of tumor heterogeneity and treatment responses, and specific identification of the type and stages of cancers. The present review first briefly revisits the state-of-the-art technique of liquid biopsy and then proceeds to address in detail, the advances in the potential clinical applications of four major biological agencies present in liquid biopsy samples (circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), exosomes and tumor-educated platelets (TEPs)). Finally, the authors conclude with the limitations that need to be addressed in order for liquid biopsy to effectively replace the conventional invasive biopsy methods in the clinical settings.
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Affiliation(s)
- Ushma Jaykamal Shah
- MedGenome Labs Ltd, Kailash Cancer Hospital and Research Center, Vadodara, India
| | - Ahmad Alsulimani
- Medical Laboratory Technology Department, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Faraz Ahmad
- Department of Biotechnology, School of Bio Sciences and Technology (SBST), Vellore Institute of Technology, Vellore, India
| | - Darin Mansor Mathkor
- Research and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
| | - Ahdab Alsaieedi
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.,Vaccines and Immunotherapy Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Steve Harakeh
- King Fahd Medical Research Center, and Yousef Abdullatif Jameel Chair of Prophetic Medicine Application, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Mohammad Nasiruddin
- MedGenome Labs Ltd, Narayana Health City, Bangalore, India.,Genomics Lab, Orbito Asia Diagnostics, Coimbatore, India
| | - Shafiul Haque
- Research and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
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33
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Vermeirssen V, Deleu J, Morlion A, Everaert C, De Wilde J, Anckaert J, Durinck K, Nuytens J, Rishfi M, Speleman F, Van Droogenbroeck H, Verniers K, Baietti M, Albersen M, Leucci E, Post E, Best M, Van Maerken T, De Wilde B, Vandesompele J, Decock A. Whole transcriptome profiling of liquid biopsies from tumour xenografted mouse models enables specific monitoring of tumour-derived extracellular RNA. NAR Cancer 2022; 4:zcac037. [DOI: 10.1093/narcan/zcac037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 09/23/2022] [Accepted: 11/18/2022] [Indexed: 11/29/2022] Open
Abstract
Abstract
While cell-free DNA (cfDNA) is widely being investigated, free circulating RNA (extracellular RNA, exRNA) has the potential to improve cancer therapy response monitoring and detection due to its dynamic nature. However, it remains unclear in which blood subcompartment tumour-derived exRNAs primarily reside. We developed a host-xenograft deconvolution framework, exRNAxeno, with mapping strategies to either a combined human-mouse reference genome or both species genomes in parallel, applicable to exRNA sequencing data from liquid biopsies of human xenograft mouse models. The tool enables to distinguish (human) tumoural RNA from (murine) host RNA, to specifically analyse tumour-derived exRNA. We applied the combined pipeline to total exRNA sequencing data from 95 blood-derived liquid biopsy samples from 30 mice, xenografted with 11 different tumours. Tumoural exRNA concentrations are not determined by plasma platelet levels, while host exRNA concentrations increase with platelet content. Furthermore, a large variability in exRNA abundance and transcript content across individual mice is observed. The tumoural gene detectability in plasma is largely correlated with the RNA expression levels in the tumour tissue or cell line. These findings unravel new aspects of tumour-derived exRNA biology in xenograft models and open new avenues to further investigate the role of exRNA in cancer.
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Affiliation(s)
- Vanessa Vermeirssen
- Lab for Computational Biology, Integromics and Gene Regulation (CBIGR), Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomedical Molecular Biology, Ghent University , 9000, Ghent , Belgium
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
| | - Jill Deleu
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
| | - Annelien Morlion
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
| | - Celine Everaert
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
| | - Jilke De Wilde
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
- Department of Pathology, Ghent University Hospital , 9000, Ghent , Belgium
| | - Jasper Anckaert
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
| | - Kaat Durinck
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
- Pediatric Precision Oncology Lab (PPOL), Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
| | - Justine Nuytens
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
| | - Muhammad Rishfi
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
- Pediatric Precision Oncology Lab (PPOL), Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
| | - Frank Speleman
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
- Pediatric Precision Oncology Lab (PPOL), Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
| | - Hanne Van Droogenbroeck
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
| | - Kimberly Verniers
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
| | - Maria Francesca Baietti
- Laboratory for RNA Cancer Biology, Department of Oncology , KU Leuven, 3000, Leuven , Belgium
- TRACE, Leuven Cancer Institute , KU Leuven, 3000, Leuven, Belgium
| | - Maarten Albersen
- Department of Development and Regeneration, Laboratory of Experimental Urology, KU Leuven, Department of Urology, University Hospitals Leuven , 3000, Leuven , Belgium
| | - Eleonora Leucci
- Laboratory for RNA Cancer Biology, Department of Oncology , KU Leuven, 3000, Leuven , Belgium
- TRACE, Leuven Cancer Institute , KU Leuven, 3000, Leuven, Belgium
| | - Edward Post
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery , Boelelaan 1117, 1081 HV, Amsterdam , the Netherlands
- Cancer Center Amsterdam, Brain Tumor Center and Liquid Biopsy Center , 1081 HV, Amsterdam , the Netherlands
| | - Myron G Best
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery , Boelelaan 1117, 1081 HV, Amsterdam , the Netherlands
- Cancer Center Amsterdam, Brain Tumor Center and Liquid Biopsy Center , 1081 HV, Amsterdam , the Netherlands
| | - Tom Van Maerken
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
- Department of Laboratory Medicine , AZ Groeninge, 8500, Kortrijk , Belgium
| | - Bram De Wilde
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
- Department of Paediatric Haematology Oncology and Stem Cell Transplantation, Ghent University Hospital , 9000, Ghent , Belgium
| | - Jo Vandesompele
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
| | - Anneleen Decock
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
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34
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In 't Veld SGJG, Arkani M, Post E, Antunes-Ferreira M, D'Ambrosi S, Vessies DCL, Vermunt L, Vancura A, Muller M, Niemeijer ALN, Tannous J, Meijer LL, Le Large TYS, Mantini G, Wondergem NE, Heinhuis KM, van Wilpe S, Smits AJ, Drees EEE, Roos E, Leurs CE, Tjon Kon Fat LA, van der Lelij EJ, Dwarshuis G, Kamphuis MJ, Visser LE, Harting R, Gregory A, Schweiger MW, Wedekind LE, Ramaker J, Zwaan K, Verschueren H, Bahce I, de Langen AJ, Smit EF, van den Heuvel MM, Hartemink KJ, Kuijpers MJE, Oude Egbrink MGA, Griffioen AW, Rossel R, Hiltermann TJN, Lee-Lewandrowski E, Lewandrowski KB, De Witt Hamer PC, Kouwenhoven M, Reijneveld JC, Leenders WPJ, Hoeben A, Verdonck-de Leeuw IM, Leemans CR, Baatenburg de Jong RJ, Terhaard CHJ, Takes RP, Langendijk JA, de Jager SC, Kraaijeveld AO, Pasterkamp G, Smits M, Schalken JA, Łapińska-Szumczyk S, Łojkowska A, Żaczek AJ, Lokhorst H, van de Donk NWCJ, Nijhof I, Prins HJ, Zijlstra JM, Idema S, Baayen JC, Teunissen CE, Killestein J, Besselink MG, Brammen L, Bachleitner-Hofmann T, Mateen F, Plukker JTM, Heger M, de Mast Q, Lisman T, Pegtel DM, Bogaard HJ, Jassem J, Supernat A, Mehra N, Gerritsen W, de Kroon CD, Lok CAR, Piek JMJ, Steeghs N, van Houdt WJ, Brakenhoff RH, Sonke GS, Verheul HM, Giovannetti E, Kazemier G, Sabrkhany S, Schuuring E, Sistermans EA, Wolthuis R, Meijers-Heijboer H, Dorsman J, Oudejans C, Ylstra B, Westerman BA, van den Broek D, Koppers-Lalic D, Wesseling P, Nilsson RJA, Vandertop WP, Noske DP, Tannous BA, Sol N, Best MG, Wurdinger T. Detection and localization of early- and late-stage cancers using platelet RNA. Cancer Cell 2022; 40:999-1009.e6. [PMID: 36055228 DOI: 10.1016/j.ccell.2022.08.006] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 05/06/2022] [Accepted: 08/08/2022] [Indexed: 01/12/2023]
Abstract
Cancer patients benefit from early tumor detection since treatment outcomes are more favorable for less advanced cancers. Platelets are involved in cancer progression and are considered a promising biosource for cancer detection, as they alter their RNA content upon local and systemic cues. We show that tumor-educated platelet (TEP) RNA-based blood tests enable the detection of 18 cancer types. With 99% specificity in asymptomatic controls, thromboSeq correctly detected the presence of cancer in two-thirds of 1,096 blood samples from stage I-IV cancer patients and in half of 352 stage I-III tumors. Symptomatic controls, including inflammatory and cardiovascular diseases, and benign tumors had increased false-positive test results with an average specificity of 78%. Moreover, thromboSeq determined the tumor site of origin in five different tumor types correctly in over 80% of the cancer patients. These results highlight the potential properties of TEP-derived RNA panels to supplement current approaches for blood-based cancer screening.
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Affiliation(s)
- Sjors G J G In 't Veld
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Clinical Chemistry, Neurochemistry Lab, Boelelaan 1117, Amsterdam, the Netherlands; Neuroscience Campus Amsterdam, Amsterdam, the Netherlands
| | - Mohammad Arkani
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Pulmonary Medicine, Boelelaan 1117, Amsterdam, the Netherlands
| | - Edward Post
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Mafalda Antunes-Ferreira
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Silvia D'Ambrosi
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Daan C L Vessies
- Department of Laboratory Medicine, the Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Lisa Vermunt
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Clinical Chemistry, Neurochemistry Lab, Boelelaan 1117, Amsterdam, the Netherlands; Neuroscience Campus Amsterdam, Amsterdam, the Netherlands
| | - Adrienne Vancura
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Mirte Muller
- Department of Thoracic Oncology, the Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Anna-Larissa N Niemeijer
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Pulmonary Medicine, Boelelaan 1117, Amsterdam, the Netherlands
| | - Jihane Tannous
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Neuroscience Program, Harvard Medical School, Boston, MA, USA
| | - Laura L Meijer
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Surgery, Boelelaan 1117, Amsterdam, the Netherlands
| | - Tessa Y S Le Large
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Surgery, Boelelaan 1117, Amsterdam, the Netherlands
| | - Giulia Mantini
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Medical Oncology, Boelelaan 1117, Amsterdam, the Netherlands
| | - Niels E Wondergem
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Otolaryngology and Head and Neck Surgery, Boelelaan 1117, Amsterdam, the Netherlands
| | - Kimberley M Heinhuis
- Department of Medical Oncology, the Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands; Department of Clinical Pharmacology, the Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Sandra van Wilpe
- Department of Medical Oncology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - A Josien Smits
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Pulmonary Medicine, Boelelaan 1117, Amsterdam, the Netherlands
| | - Esther E E Drees
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Pathology, Boelelaan 1117, Amsterdam, the Netherlands
| | - Eva Roos
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Surgery, Boelelaan 1117, Amsterdam, the Netherlands
| | - Cyra E Leurs
- Neuroscience Campus Amsterdam, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurology, Boelelaan 1117, Amsterdam, the Netherlands; MS Center Amsterdam, Amsterdam, the Netherlands
| | | | - Ewoud J van der Lelij
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Govert Dwarshuis
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Maarten J Kamphuis
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Lisanne E Visser
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Romee Harting
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Annemijn Gregory
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Markus W Schweiger
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Neuroscience Program, Harvard Medical School, Boston, MA, USA
| | - Laurine E Wedekind
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Jip Ramaker
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Kenn Zwaan
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Heleen Verschueren
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Idris Bahce
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Pulmonary Medicine, Boelelaan 1117, Amsterdam, the Netherlands
| | - Adrianus J de Langen
- Department of Thoracic Oncology, the Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Egbert F Smit
- Department of Thoracic Oncology, the Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Michel M van den Heuvel
- Department of Thoracic Oncology, the Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands; Department of Respiratory Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Koen J Hartemink
- Department of Thoracic Surgery, the Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Marijke J E Kuijpers
- Department of Biochemistry, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands; Thrombosis Expertise Centre, Heart and Vascular Centre, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Mirjam G A Oude Egbrink
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands
| | - Arjan W Griffioen
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Medical Oncology, Boelelaan 1117, Amsterdam, the Netherlands
| | - Rafael Rossel
- Translational Research Unit, Dr. Rosell Oncology Institute, Quirón Dexeus University Hospital, Barcelona, Spain; Pangaea Biotech SL, Barcelona, Spain; Catalan Institute of Oncology, Hospital Germans Trias i Pujol, Barcelona, Spain; Molecular Oncology Research (MORe) Foundation, Barcelona, Spain
| | - T Jeroen N Hiltermann
- University of Groningen, Department of Pulmonary Diseases, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Kent B Lewandrowski
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Philip C De Witt Hamer
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Mathilde Kouwenhoven
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurology, Boelelaan 1117, Amsterdam, the Netherlands
| | - Jaap C Reijneveld
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurology, Boelelaan 1117, Amsterdam, the Netherlands; Department of Neurology, Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, the Netherlands
| | - William P J Leenders
- Department of Biochemistry, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Ann Hoeben
- Department of Medical Oncology, School for Oncology and Developmental Biology (GROW), Maastricht University Medical Center, Maastricht, the Netherlands
| | - Irma M Verdonck-de Leeuw
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Otolaryngology and Head and Neck Surgery, Boelelaan 1117, Amsterdam, the Netherlands; Department of Clinical, Neuro- and Developmental Psychology, Faculty of Behavioral and Movement Sciences & Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - C René Leemans
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Otolaryngology and Head and Neck Surgery, Boelelaan 1117, Amsterdam, the Netherlands
| | - Robert J Baatenburg de Jong
- Department of Otolaryngology and Head and Neck Surgery, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Chris H J Terhaard
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Robert P Takes
- Department of Otorhinolaryngology and Head and Neck Surgery, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Johannes A Langendijk
- Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Saskia C de Jager
- Department of Experimental Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Adriaan O Kraaijeveld
- Department of Cardiology, Division of Heart and Lungs, Utrecht University Medical Center, Utrecht, the Netherlands
| | - Gerard Pasterkamp
- Department of Experimental Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Minke Smits
- Department of Medical Oncology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jack A Schalken
- Urological Research Laboratory, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Urology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Sylwia Łapińska-Szumczyk
- Department of Gynaecology, Gynaecological Oncology and Gynaecological Endocrinology, Medical University of Gdańsk, Gdańsk, Poland
| | - Anna Łojkowska
- Department of Gynaecology, Gynaecological Oncology and Gynaecological Endocrinology, Medical University of Gdańsk, Gdańsk, Poland
| | - Anna J Żaczek
- Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology, University of Gdańsk and Medical University of Gdańsk, Gdańsk, Poland
| | - Henk Lokhorst
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Hematology, Boelelaan 1117, Amsterdam, the Netherlands
| | - Niels W C J van de Donk
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Hematology, Boelelaan 1117, Amsterdam, the Netherlands
| | - Inger Nijhof
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Hematology, Boelelaan 1117, Amsterdam, the Netherlands
| | - Henk-Jan Prins
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Hematology, Boelelaan 1117, Amsterdam, the Netherlands
| | - Josée M Zijlstra
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Hematology, Boelelaan 1117, Amsterdam, the Netherlands
| | - Sander Idema
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Johannes C Baayen
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Charlotte E Teunissen
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Clinical Chemistry, Neurochemistry Lab, Boelelaan 1117, Amsterdam, the Netherlands; Neuroscience Campus Amsterdam, Amsterdam, the Netherlands
| | - Joep Killestein
- Neuroscience Campus Amsterdam, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurology, Boelelaan 1117, Amsterdam, the Netherlands; MS Center Amsterdam, Amsterdam, the Netherlands
| | - Marc G Besselink
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Surgery, Boelelaan 1117, Amsterdam, the Netherlands
| | - Lindsay Brammen
- Department of Surgery, Division of General Surgery, Medical University of Vienna, Vienna, Austria
| | | | - Farrah Mateen
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - John T M Plukker
- Department of Surgery, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Michal Heger
- Department of Pharmaceutics, Jiaxing Key Laboratory for Photonanomedicine and Experimental Therapeutics, College of Medicine, Jiaxing University, Jiaxing, Zhejiang, PR China; Department of Pathology, Laboratory Experimental Oncology, Erasmus MC, Rotterdam, the Netherlands
| | - Quirijn de Mast
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Ton Lisman
- Department of Surgery, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands; Surgical Research Laboratory, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - D Michiel Pegtel
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Pathology, Boelelaan 1117, Amsterdam, the Netherlands
| | - Harm-Jan Bogaard
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Pulmonary Medicine, Boelelaan 1117, Amsterdam, the Netherlands
| | - Jacek Jassem
- Department of Oncology and Radiotherapy, Medical University of Gdańsk, Gdańsk, Poland
| | - Anna Supernat
- Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology, University of Gdańsk and Medical University of Gdańsk, Gdańsk, Poland
| | - Niven Mehra
- Department of Medical Oncology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Winald Gerritsen
- Department of Medical Oncology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Cornelis D de Kroon
- Department of Obstetrics and Gynaecology, Leiden University Medical Center, Leiden, the Netherlands
| | - Christianne A R Lok
- Department of Gynaecological Oncology, the Netherlands Cancer Institute - Antoni van Leeuwenhoek, Amsterdam, the Netherlands; Center of Gynaecologic Oncology Amsterdam, the Netherlands Cancer Institute - Antoni van Leeuwenhoek, Amsterdam, the Netherlands
| | - Jurgen M J Piek
- Department of Obstetrics and Gynaecology and Catharina Cancer Institute, Catharina Hospital, Eindhoven, the Netherlands
| | - Neeltje Steeghs
- Department of Medical Oncology, the Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands; Department of Clinical Pharmacology, the Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Winan J van Houdt
- Department of Surgical Oncology, the Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Ruud H Brakenhoff
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Otolaryngology and Head and Neck Surgery, Boelelaan 1117, Amsterdam, the Netherlands
| | - Gabe S Sonke
- Department of Medical Oncology, the Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Henk M Verheul
- Department of Medical Oncology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Elisa Giovannetti
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Medical Oncology, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Pharmacology Lab, AIRC Start-Up Unit, Fondazione Pisana per La Scienza, Pisa, Italy
| | - Geert Kazemier
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Surgery, Boelelaan 1117, Amsterdam, the Netherlands
| | - Siamack Sabrkhany
- Department of Physiology, Maastricht University, Maastricht, the Netherlands
| | - Ed Schuuring
- Department of Pathology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Erik A Sistermans
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Clinical Genetics, Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Reproduction & Development Research Institute, Amsterdam, the Netherlands
| | - Rob Wolthuis
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Clinical Genetics, Boelelaan 1117, Amsterdam, the Netherlands
| | - Hanne Meijers-Heijboer
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Clinical Genetics, Boelelaan 1117, Amsterdam, the Netherlands
| | - Josephine Dorsman
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Clinical Genetics, Boelelaan 1117, Amsterdam, the Netherlands
| | - Cees Oudejans
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Clinical Chemistry, Boelelaan 1117, Amsterdam, the Netherlands
| | - Bauke Ylstra
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Pathology, Boelelaan 1117, Amsterdam, the Netherlands
| | - Bart A Westerman
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Daan van den Broek
- Department of Laboratory Medicine, the Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Danijela Koppers-Lalic
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Pieter Wesseling
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Pathology, Boelelaan 1117, Amsterdam, the Netherlands; Department of Pathology, Princess Máxima Center for Pediatric Oncology and University Medical Center Utrecht, Utrecht, the Netherlands
| | - R Jonas A Nilsson
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - W Peter Vandertop
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - David P Noske
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands
| | - Bakhos A Tannous
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Neuroscience Program, Harvard Medical School, Boston, MA, USA
| | - Nik Sol
- Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurology, Boelelaan 1117, Amsterdam, the Netherlands
| | - Myron G Best
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands.
| | - Thomas Wurdinger
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery, Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam and Liquid Biopsy Center, Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, Amsterdam, the Netherlands.
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Corvigno S, Johnson AM, Wong KK, Cho MS, Afshar-Kharghan V, Menter DG, Sood AK. Novel Markers for Liquid Biopsies in Cancer Management: Circulating Platelets and Extracellular Vesicles. Mol Cancer Ther 2022; 21:1067-1075. [PMID: 35545008 DOI: 10.1158/1535-7163.mct-22-0087] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 04/05/2022] [Accepted: 05/05/2022] [Indexed: 02/03/2023]
Abstract
Although radiologic imaging and histologic assessment of tumor tissues are classic approaches for diagnosis and monitoring of treatment response, they have many limitations. These include challenges in distinguishing benign from malignant masses, difficult access to the tumor, high cost of the procedures, and tumor heterogeneity. In this setting, liquid biopsy has emerged as a potential alternative for both diagnostic and monitoring purposes. The approaches to liquid biopsy include cell-free DNA/circulating tumor DNA, long and micro noncoding RNAs, proteins/peptides, carbohydrates/lectins, lipids, and metabolites. Other approaches include detection and analysis of circulating tumor cells, extracellular vesicles, and tumor-activated platelets. Ultimately, reliable use of liquid biopsies requires bioinformatics and statistical integration of multiple datasets to achieve approval in a Clinical Laboratory Improvement Amendments setting. This review provides a balanced and critical assessment of recent discoveries regarding tumor-derived biomarkers in liquid biopsies along with the potential and pitfalls for cancer detection and longitudinal monitoring.
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Affiliation(s)
- Sara Corvigno
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Anna Maria Johnson
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kwong-Kwok Wong
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.,The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, Texas
| | - Min Soon Cho
- Division of Internal Medicine, Benign Hematology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Vahid Afshar-Kharghan
- Division of Internal Medicine, Benign Hematology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - David G Menter
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Anil K Sood
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Center for RNA Interference and Non-Coding RNA, The University of Texas MD Anderson Cancer Center, Houston, Texas
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36
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Liquid biopsy: early and accurate diagnosis of brain tumor. J Cancer Res Clin Oncol 2022; 148:2347-2373. [PMID: 35451698 DOI: 10.1007/s00432-022-04011-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 04/01/2022] [Indexed: 12/15/2022]
Abstract
Noninvasive examination is an emerging area in the field of neuro-oncology. Liquid biopsy captures the landscape of genomic alterations of brain tumors and revolutionizes the traditional diagnosis approaches. Rapidly changing sequencing technologies and more affordable prices put the screws on more application of liquid biopsy in clinical settings. In the past few years, extensive application of liquid biopsy has been seen throughout the whole diagnosis and treatment process of brain tumors, including early and accurate detection, characterization and dynamic monitoring. Here, we summarized and compared the most advanced techniques and target molecules or macrostructures related to brain tumor liquid biopsy. We further reviewed and emphasized recent progression in different clinical settings for brain tumors in blood and CSF. The preferred protocol, potential novel biomarkers and future development are discussed in the last part.
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37
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Zou D, Yuan Y, Xu L, Lei S, Li X, Lu X, Wang X, Li X, Wang L, Wang Z. PltDB: a blood platelets-based gene expression database for disease investigation. Bioinformatics 2022; 38:3143-3145. [PMID: 35438150 DOI: 10.1093/bioinformatics/btac278] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Revised: 03/06/2022] [Accepted: 04/13/2022] [Indexed: 11/13/2022] Open
Abstract
MOTIVATION Molecular profiling of blood-based liquid biopsies is a promising disease detection method, which overcomes the limitations of invasive diagnostic strategies. Recently, gene expression profiling of platelets reportedly provides valuable resource for developing new biomarkers for the detection of diseases, including cancer. However, there is no database containing RNAs in platelets. RESULTS In this study, we constructed PltDB (http://www.pltdb-hust.com), a platelets-based gene expression database featuring integration and visualization of RNA expression profiles based on RNA-seq and microarray data spanning both normal individuals and patients with different diseases. PltDB currently contains the expression landscape of mRNAs, lncRNAs, circRNAs, and miRNAs in platelets from patients with different disease types and healthy controls. Moreover, PltDB provides users with the tools for visualizing results of comparison and correlation analysis and for downloading expression profiles and analysis results. A submission interface for the scientific community is also embraced for uploading novel RNA expression profiles derived from platelet samples. PltDB will offer a comprehensive review of the clinical use of platelets, overcome technical problems when analyzing data from diverse studies and serve as a powerful platform for developing new blood biomarkers. AVAILABILITY PltDB is accessible at http://www.pltdb-hust.com. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Danyi Zou
- Department of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Ye Yuan
- Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Luming Xu
- Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Shijun Lei
- Department of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xingbo Li
- Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xiaohuan Lu
- Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xingyue Wang
- Department of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - XiaoQiong Li
- Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Lin Wang
- Department of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Zheng Wang
- Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College Huazhong University of Science and Technology, Wuhan, 430022, China
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38
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Bodensohn R, Forbrig R, Quach S, Reis J, Boulesteix AL, Mansmann U, Hadi I, Fleischmann D, Mücke J, Holzgreve A, Albert N, Ruf V, Dorostkar M, Corradini S, Herms J, Belka C, Thon N, Niyazi M. MRI-based contrast clearance analysis shows high differentiation accuracy between radiation-induced reactions and progressive disease after cranial radiotherapy. ESMO Open 2022; 7:100424. [PMID: 35248822 PMCID: PMC9058918 DOI: 10.1016/j.esmoop.2022.100424] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/31/2022] [Accepted: 02/01/2022] [Indexed: 11/26/2022] Open
Abstract
Background Pseudoprogression (PsP) or radiation necrosis (RN) may frequently occur after cranial radiotherapy and show a similar imaging pattern compared with progressive disease (PD). We aimed to evaluate the diagnostic accuracy of magnetic resonance imaging-based contrast clearance analysis (CCA) in this clinical setting. Patients and methods Patients with equivocal imaging findings after cranial radiotherapy were consecutively included into this monocentric prospective study. CCA was carried out by software-based automated subtraction of imaging features in late versus early T1-weighted sequences after contrast agent application. Two experienced neuroradiologists evaluated CCA with respect to PsP/RN and PD being blinded for histological findings. The radiological assessment was compared with the histopathological results, and its accuracy was calculated statistically. Results A total of 33 patients were included; 16 (48.5%) were treated because of a primary brain tumor (BT), and 17 (51.1%) because of a secondary BT. In one patient, CCA was technically infeasible. The accuracy of CCA in predicting the histological result was 0.84 [95% confidence interval (CI) 0.67-0.95; one-sided P = 0.051; n = 32]. Sensitivity and specificity of CCA were 0.93 (95% CI 0.66-1.00) and 0.78 (95% CI 0.52-0.94), respectively. The accuracy in patients with secondary BTs was 0.94 (95% CI 0.71-1.00) and nonsignificantly higher compared with patients with primary BT with an accuracy of 0.73 (95% CI 0.45-0.92), P = 0.16. Conclusions In this study, CCA was a highly accurate, easy, and helpful method for distinguishing PsP or RN from PD after cranial radiotherapy, especially in patients with secondary tumors after radiosurgical treatment. CCA is accurate in distinguishing treatment reactions from true PD. CCA was more accurate for irradiated metastases than primary BTs. CCA is not feasible for lesions with no contrast media uptake.
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39
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Zhou H, Zhu L, Song J, Wang G, Li P, Li W, Luo P, Sun X, Wu J, Liu Y, Zhu S, Zhang Y. Liquid biopsy at the frontier of detection, prognosis and progression monitoring in colorectal cancer. Mol Cancer 2022; 21:86. [PMID: 35337361 PMCID: PMC8951719 DOI: 10.1186/s12943-022-01556-2] [Citation(s) in RCA: 79] [Impact Index Per Article: 39.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 03/02/2022] [Indexed: 02/07/2023] Open
Abstract
Colorectal cancer (CRC) is one of the most common cancers worldwide and a leading cause of carcinogenic death. To date, surgical resection is regarded as the gold standard by the operator for clinical decisions. Because conventional tissue biopsy is invasive and only a small sample can sometimes be obtained, it is unable to represent the heterogeneity of tumor or dynamically monitor tumor progression. Therefore, there is an urgent need to find a new minimally invasive or noninvasive diagnostic strategy to detect CRC at an early stage and monitor CRC recurrence. Over the past years, a new diagnostic concept called “liquid biopsy” has gained much attention. Liquid biopsy is noninvasive, allowing repeated analysis and real-time monitoring of tumor recurrence, metastasis or therapeutic responses. With the advanced development of new molecular techniques in CRC, circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), exosomes, and tumor-educated platelet (TEP) detection have achieved interesting and inspiring results as the most prominent liquid biopsy markers. In this review, we focused on some clinical applications of CTCs, ctDNA, exosomes and TEPs and discuss promising future applications to solve unmet clinical needs in CRC patients.
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Affiliation(s)
- Hui Zhou
- Department of General Surgery, Third Xiangya Hospital, Central South University, Changsha, 410013, China.,Department of General Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China
| | - Liyong Zhu
- Department of General Surgery, Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Jun Song
- Department of General Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China
| | - Guohui Wang
- Department of General Surgery, Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Pengzhou Li
- Department of General Surgery, Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Weizheng Li
- Department of General Surgery, Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Ping Luo
- Department of General Surgery, Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Xulong Sun
- Department of General Surgery, Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Jin Wu
- Department of General Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China
| | - Yunze Liu
- Department of General Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China
| | - Shaihong Zhu
- Department of General Surgery, Third Xiangya Hospital, Central South University, Changsha, 410013, China.
| | - Yi Zhang
- Department of General Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China.
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40
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Xiao R, Liu C, Zhang B, Ma L. Tumor-Educated Platelets as a Promising Biomarker for Blood-Based Detection of Renal Cell Carcinoma. Front Oncol 2022; 12:844520. [PMID: 35321426 PMCID: PMC8936192 DOI: 10.3389/fonc.2022.844520] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 02/07/2022] [Indexed: 12/13/2022] Open
Abstract
Purpose Tumor-educated platelets (TEPs) are a promising liquid biopsy in many cancers. However, their role in renal cell carcinoma (RCC) is unknown. Thus, this study explored the diagnostic value of TEPs in RCC patients. Methods Platelets were prospectively collected from 24 RCC patients and 25 controls. RNA-seq was performed to identify the differentially expressed genes (DEGs) between RCC patients and controls. Besides, RNA-seq data of pan-cancer TEPs were downloaded and randomly divided into training and validation sets. A pan-cancer TEP model was developed in the training set using the support vector machine (SVM) and validated in the validation set and our RCC dataset. Finally, an RCC-based TEP model was developed and optimized through the SVM algorithms and recursive feature elimination (RFE) method. Result Two hundred three DEGs, 64 (31.5%) upregulated and 139 (68.5%) downregulated, were detected in the platelets of RCC patients compared with controls. The pan-cancer TEP model had a high accuracy in detecting cancer in the internal validation (training set, accuracy 98.8%, AUC: 0.999; validation set, accuracy 95.4%, AUC: 0.972; different tumor subtypes, accuracy 86.6%–96.1%, AUC: 0.952–1.000). However, the pan-cancer TEP model in the external validation had a scarce diagnostic value in RCC patients (accuracy 48.7%, AUC: 0.615). Therefore, to develop the RCC-based TEP model, the gene biomarkers mostly contributing to the model were selected using the RFE method. The RCC-based TEP model containing 68 gene biomarkers reached a diagnostic accuracy of 100% (AUC: 1.000) in the training set, 88.9% (AUC: 0.963) in the validation set, and 95.9% (AUC: 0.988) in the overall cohort. Conclusion TEPs could function as a minimally invasive blood biomarker in the detection of RCC.
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Affiliation(s)
- Ruotao Xiao
- Department of Urology, Peking University Third Hospital, Beijing, China
| | - Cheng Liu
- Department of Urology, Peking University Third Hospital, Beijing, China
| | - Bo Zhang
- Department of Pathology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Lulin Ma
- Department of Urology, Peking University Third Hospital, Beijing, China
- *Correspondence: Lulin Ma,
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Bona NP, Soares MSP, Pedra NS, Spohr L, da Silva Dos Santos F, de Farias AS, Alvez FL, de Moraes Meine B, Luduvico KP, Spanevello RM, Stefanello FM. Tannic Acid Attenuates Peripheral and Brain Changes in a Preclinical Rat Model of Glioblastoma by Modulating Oxidative Stress and Purinergic Signaling. Neurochem Res 2022; 47:1541-1552. [PMID: 35178643 DOI: 10.1007/s11064-022-03547-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 01/18/2022] [Accepted: 02/02/2022] [Indexed: 01/23/2023]
Abstract
Glioblastoma (GB) is a highly aggressive and invasive brain tumor; its treatment remains palliative. Tannic acid (TA) is a polyphenol widely found in foods and possesses antitumor and neuroprotective activities. This study aimed to investigate the effect of TA on oxidative stress parameters and the activity of ectonucleotidases in the serum, platelets, and lymphocytes and/or in the brain of rats with preclinical GB. Rats with GB were treated intragastrically with TA (50 mg/kg/day) for 15 days or with a vehicle. In the platelets of the animals with glioma, the adenosine triphosphate (ATP) and adenosine monophosphate (AMP) hydrolysis and the catalase (CAT) activity decreased. Besides, the adenosine diphosphate (ADP) hydrolysis, adenosine (Ado) deamination, and the reactive oxygen species (ROS) and nitrite levels were increased in glioma animals; however, TA reversed ROS and nitrite levels and AMP hydrolysis alterations. In lymphocytes from animals with glioma, the ATP and ADP hydrolysis, as well as Ado deamination were increased; TA treatment countered this increase. In the brain of the animals with glioma, the ROS, nitrite, and thiobarbituric acid reactive substance (TBARS) levels increased and the thiol (SH) levels and CAT and superoxide dismutase (SOD) activities were decreased; TA treatment decreased the ROS and TBARS levels and restored the SOD activity. In the serum of the animals with glioma, the ATP hydrolysis decreased; TA treatment restored this parameter. Additionally, the ROS levels increased and the SH and SOD activity decreased by glioma implant; TA treatment enhanced nitrite levels and reversed SOD activity. Altogether, our results suggest that TA is an important target in the treatment of GB, as it modulates purinergic and redox systems.
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Affiliation(s)
- Natália Pontes Bona
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Biomarcadores, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, CEP: 96010-900, Brazil
| | - Mayara Sandrielly Pereira Soares
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Neuroquímica, Inflamação e Câncer, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, Brazil
| | - Nathalia Stark Pedra
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Neuroquímica, Inflamação e Câncer, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, Brazil
| | - Luiza Spohr
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Neuroquímica, Inflamação e Câncer, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, Brazil
| | - Francieli da Silva Dos Santos
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Biomarcadores, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, CEP: 96010-900, Brazil
| | - Alana Seixas de Farias
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Biomarcadores, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, CEP: 96010-900, Brazil
| | - Fernando Lopez Alvez
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Neuroquímica, Inflamação e Câncer, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, Brazil
| | - Bernardo de Moraes Meine
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Biomarcadores, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, CEP: 96010-900, Brazil
| | - Karina Pereira Luduvico
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Biomarcadores, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, CEP: 96010-900, Brazil
| | - Roselia Maria Spanevello
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Neuroquímica, Inflamação e Câncer, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, Brazil
| | - Francieli Moro Stefanello
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Biomarcadores, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, CEP: 96010-900, Brazil.
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Mair R, Mouliere F. Cell-free DNA technologies for the analysis of brain cancer. Br J Cancer 2022; 126:371-378. [PMID: 34811503 PMCID: PMC8811068 DOI: 10.1038/s41416-021-01594-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 09/07/2021] [Accepted: 10/06/2021] [Indexed: 11/08/2022] Open
Abstract
Survival for glioma patients has shown minimal improvement over the past 20 years. The ability to detect and monitor gliomas relies primarily upon imaging technologies that lack sensitivity and specificity, especially during the post-surgical treatment phase. Treatment-response monitoring with an effective liquid-biopsy paradigm may also provide the most facile clinical scenario for liquid-biopsy integration into brain-tumour care. Conceptually, liquid biopsy is advantageous when compared with both tissue sampling (less invasive) and imaging (more sensitive and specific), but is hampered by technical and biological problems. These problems predominantly relate to low concentrations of tumour-derived DNA in the bloodstream of glioma patients. In this review, we highlight methods by which the neuro-oncological scientific and clinical communities have attempted to circumvent this limitation. The use of novel biological, technological and computational approaches will be explored. The utility of alternate bio-fluids, tumour-guided sequencing, epigenomic and fragmentomic methods may eventually be leveraged to provide the biological and technological means to unlock a wide range of clinical applications for liquid biopsy in glioma.
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Affiliation(s)
- Richard Mair
- Cancer Research UK Cambridge Institute, University of Cambridge, CB2 0RE, Cambridge, UK.
- Cancer Research UK Major Centre - Cambridge, Cancer Research UK Cambridge Institute, CB2 0RE, Cambridge, UK.
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, CB2 0QQ, Cambridge, UK.
| | - Florent Mouliere
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Pathology, Cancer Centre Amsterdam, 1081 HV, Amsterdam, The Netherlands.
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43
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Krishnan A, Thomas S. Toward platelet transcriptomics in cancer diagnosis, prognosis and therapy. Br J Cancer 2022; 126:316-322. [PMID: 34811507 PMCID: PMC8810955 DOI: 10.1038/s41416-021-01627-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 10/26/2021] [Accepted: 11/02/2021] [Indexed: 12/29/2022] Open
Abstract
Widespread adoption of next-generation techniques such as RNA-sequencing (RNA-seq) has enabled research examining the transcriptome of anucleate blood platelets in health and disease, thus revealing a rich platelet transcriptomic signature that is reprogrammed in response to disease. Platelet signatures not only capture information from parent megakaryocytes and progenitor hematopoietic stem cells but also the bone marrow microenvironment, and underlying disease states. In cancer, the substantive body of research in patients with solid tumours has identified distinct signatures in 'tumour-educated platelets', reflecting influences of the tumour, stroma and vasculature on splicing, sequestration of tumour-derived RNAs, and potentially cytokine and microvesicle influences on megakaryocytes. More recently, platelet RNA expression has emerged as a highly sensitive approach to profiling chronic progressive haematologic malignancies, where the combination of large data cohorts and machine-learning algorithms enables precise feature selection and potential prognostication. Despite these advances, however, our ability to translate platelet transcriptomics toward clinical diagnostic and prognostic efforts remains limited. In this Perspective, we present a few actionable steps for our basic, translational and clinical research communities in advancing the utility of the platelet transcriptome as a highly sensitive biomarker in cancer and collectively enable efforts toward clinical translation and patient benefit.
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Affiliation(s)
- Anandi Krishnan
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA.
| | - Sally Thomas
- Department of Oncology and Metabolism, University of Sheffield Medical School, Sheffield, UK
- Department of Haematology, Sheffield Teaching Hospitals NHS Trust, Sheffield, UK
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Larribère L, Martens UM. Advantages and Challenges of Using ctDNA NGS to Assess the Presence of Minimal Residual Disease (MRD) in Solid Tumors. Cancers (Basel) 2021; 13:5698. [PMID: 34830853 PMCID: PMC8616165 DOI: 10.3390/cancers13225698] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/05/2021] [Accepted: 11/10/2021] [Indexed: 12/22/2022] Open
Abstract
The ability to detect minimal residual disease (MRD) after a curative-intent surgery or treatment is of paramount importance, because it offers the possibility to help guide the clinical decisions related adjuvant therapy. Thus, the earlier MRD is detected, the earlier potentially beneficial treatment can be proposed to patients who might need it. Liquid biopsies, and in particular the next-generation sequencing of circulating tumor DNA (ctDNA) in the blood, have been the focus of an increasing amount of research in the past years. The ctDNA detection at advanced cancer stages is practicable for several solid tumors, and complements molecular information on acquired therapy resistance. In the context of MRD, it is by definition more challenging to detect ctDNA, but it is technically achievable and provides information on treatment response and probability of relapse significantly earlier than standard imaging methods. The clinical benefit of implementing this new technique in the routine is being tested in interventional clinical trials at the moment. We propose here an update of the current use of ctDNA detection by NGS as a tool to assess the presence of MRD and improve adjuvant treatment of solid tumors. We also discuss the main limitations and medium-term perspectives of this process in the clinic.
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Affiliation(s)
- Lionel Larribère
- Department of Hematology and Oncology, Cancer Center Heilbronn-Franken, SLK Clinics Heilbronn GmbH, 74078 Heilbronn, Germany;
- Skin Cancer Unit, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, Ruprecht-Karl University of Heidelberg, 68167 Mannheim, Germany
| | - Uwe M. Martens
- Department of Hematology and Oncology, Cancer Center Heilbronn-Franken, SLK Clinics Heilbronn GmbH, 74078 Heilbronn, Germany;
- MOLIT Institute for Personalized Medicine GmbH, 74076 Heilbronn, Germany
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45
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Varkey J, Nicolaides T. Tumor-Educated Platelets: A Review of Current and Potential Applications in Solid Tumors. Cureus 2021; 13:e19189. [PMID: 34873529 PMCID: PMC8635758 DOI: 10.7759/cureus.19189] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/01/2021] [Indexed: 12/30/2022] Open
Abstract
In this current era of precision medicine, liquid biopsy poses a unique opportunity for an easily accessible, comprehensive molecular profile that would allow for the identification of therapeutic targets and sequential monitoring. Solid tumors are definitively diagnosed by analyzing primary tumor tissue, but surgical sampling is not always sufficient to generate a comprehensive genetic fingerprint at the time of diagnosis, or an appropriate means for continued monitoring. Platelets are known to have a dynamic, bidirectional relationship with tumors, acting beyond their role of hemostasis. Tumor-educated platelets (TEP) are modified by the tumor in multiple ways and act as a carrier and protector of metastasis. Data so far have shown that the mRNA in TEP can be harnessed for cancer diagnostics, with many potential applications.
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Affiliation(s)
- Joyce Varkey
- Pediatric Hematology Oncology, New York University Langone, New York, USA
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46
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Gatto L, Franceschi E, Di Nunno V, Tosoni A, Lodi R, Brandes AA. Liquid Biopsy in Glioblastoma Management: From Current Research to Future Perspectives. Oncologist 2021; 26:865-878. [PMID: 34105205 PMCID: PMC8488799 DOI: 10.1002/onco.13858] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 06/02/2021] [Indexed: 12/18/2022] Open
Abstract
Glioblastoma (GBM) is the most common primary tumor of the central nervous system. Arising from neuroepithelial glial cells, GBM is characterized by invasive behavior, extensive angiogenesis, and genetic heterogeneity that contributes to poor prognosis and treatment failure. Currently, there are several molecular biomarkers available to aid in diagnosis, prognosis, and predicting treatment outcomes; however, all require the biopsy of tumor tissue. Nevertheless, a tissue sample from a single location has its own limitations, including the risk related to the procedure and the difficulty of obtaining longitudinal samples to monitor treatment response and to fully capture the intratumoral heterogeneity of GBM. To date, there are no biomarkers in blood or cerebrospinal fluid for detection, follow-up, or prognostication of GBM. Liquid biopsy offers an attractive and minimally invasive solution to support different stages of GBM management, assess the molecular biology of the tumor, identify early recurrence and longitudinal genomic evolution, predict both prognosis and potential resistance to chemotherapy or radiotherapy, and allow patient selection for targeted therapies. The aim of this review is to describe the current knowledge regarding the application of liquid biopsy in glioblastoma, highlighting both benefits and obstacles to translation into clinical care. IMPLICATIONS FOR PRACTICE: To translate liquid biopsy into clinical practice, further prospective studies are required with larger cohorts to increase specificity and sensitivity. With the ever-growing interest in RNA nanotechnology, microRNAs may have a therapeutic role in brain tumors.
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Affiliation(s)
- Lidia Gatto
- Department of Medical Oncology, Azienda Unità Sanitaria Locale (USL) of BolognaBolognaItaly
| | - Enrico Franceschi
- Department of Medical Oncology, Azienda Unità Sanitaria Locale (USL) of BolognaBolognaItaly
| | - Vincenzo Di Nunno
- Department of Medical Oncology, Azienda Unità Sanitaria Locale (USL) of BolognaBolognaItaly
| | - Alicia Tosoni
- Department of Medical Oncology, Azienda Unità Sanitaria Locale (USL) of BolognaBolognaItaly
| | - Raffaele Lodi
- Istituto delle Scienze Neurologiche di Bologna, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS)BolognaItaly
| | - Alba Ariela Brandes
- Department of Medical Oncology, Azienda Unità Sanitaria Locale (USL) of BolognaBolognaItaly
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D’Ambrosi S, Visser A, Antunes-Ferreira M, Poutsma A, Giannoukakos S, Sol N, Sabrkhany S, Bahce I, Kuijpers MJE, Oude Egbrink MGA, Griffioen AW, Best MG, Koppers-Lalic D, Oudejans C, Würdinger T. The Analysis of Platelet-Derived circRNA Repertoire as Potential Diagnostic Biomarker for Non-Small Cell Lung Cancer. Cancers (Basel) 2021; 13:4644. [PMID: 34572871 PMCID: PMC8468408 DOI: 10.3390/cancers13184644] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 09/06/2021] [Accepted: 09/13/2021] [Indexed: 12/15/2022] Open
Abstract
Tumor-educated Platelets (TEPs) have emerged as rich biosources of cancer-related RNA profiles in liquid biopsies applicable for cancer detection. Although human blood platelets have been found to be enriched in circular RNA (circRNA), no studies have investigated the potential of circRNA as platelet-derived biomarkers for cancer. In this proof-of-concept study, we examine whether the circRNA signature of blood platelets can be used as a liquid biopsy biomarker for the detection of non-small cell lung cancer (NSCLC). We analyzed the total RNA, extracted from the platelet samples collected from NSCLC patients and asymptomatic individuals, using RNA sequencing (RNA-Seq). Identification and quantification of known and novel circRNAs were performed using the accurate CircRNA finder suite (ACFS), followed by the differential transcript expression analysis using a modified version of our thromboSeq software. Out of 4732 detected circRNAs, we identified 411 circRNAs that are significantly (p-value < 0.05) differentially expressed between asymptomatic individuals and NSCLC patients. Using the false discovery rate (FDR) of 0.05 as cutoff, we selected the nuclear receptor-interacting protein 1 (NRIP1) circRNA (circNRIP1) as a potential biomarker candidate for further validation by reverse transcription-quantitative PCR (RT-qPCR). This analysis was performed on an independent cohort of platelet samples. The RT-qPCR results confirmed the RNA-Seq data analysis, with significant downregulation of circNRIP1 in platelets derived from NSCLC patients. Our findings suggest that circRNAs found in blood platelets may hold diagnostic biomarkers potential for the detection of NSCLC using liquid biopsies.
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Affiliation(s)
- Silvia D’Ambrosi
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; (S.D.); (M.A.-F.); (M.G.B.); (D.K.-L.)
| | - Allerdien Visser
- Department of Clinical Chemistry, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; (A.V.); (A.P.); (C.O.)
| | - Mafalda Antunes-Ferreira
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; (S.D.); (M.A.-F.); (M.G.B.); (D.K.-L.)
| | - Ankie Poutsma
- Department of Clinical Chemistry, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; (A.V.); (A.P.); (C.O.)
| | - Stavros Giannoukakos
- Department of Genetics, Faculty of Science, University of Granada, 18071 Granada, Spain;
- Bioinformatics Laboratory, Biotechnology Institute, Centro de Investigación Biomédica, PTS, 18100 Granada, Spain
| | - Nik Sol
- Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands;
- Department of Neurology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Siamack Sabrkhany
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, 6229 ER Maastricht, The Netherlands; (S.S.); (M.G.A.O.E.)
| | - Idris Bahce
- Department of Pulmonary Diseases, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands;
| | - Marijke J. E. Kuijpers
- Department of Biochemistry, Cardiovascular Research Institute Maastricht, Maastricht University, 6229 ER Maastricht, The Netherlands;
| | - Mirjam G. A. Oude Egbrink
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, 6229 ER Maastricht, The Netherlands; (S.S.); (M.G.A.O.E.)
| | - Arjan W. Griffioen
- Angiogenesis Laboratory, Department of Medical Oncology, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands;
| | - Myron G. Best
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; (S.D.); (M.A.-F.); (M.G.B.); (D.K.-L.)
- Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands;
| | - Danijela Koppers-Lalic
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; (S.D.); (M.A.-F.); (M.G.B.); (D.K.-L.)
- Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands;
| | - Cees Oudejans
- Department of Clinical Chemistry, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; (A.V.); (A.P.); (C.O.)
| | - Thomas Würdinger
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; (S.D.); (M.A.-F.); (M.G.B.); (D.K.-L.)
- Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands;
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Stella M, Falzone L, Caponnetto A, Gattuso G, Barbagallo C, Battaglia R, Mirabella F, Broggi G, Altieri R, Certo F, Caltabiano R, Barbagallo GMV, Musumeci P, Ragusa M, Pietro CD, Libra M, Purrello M, Barbagallo D. Serum Extracellular Vesicle-Derived circHIPK3 and circSMARCA5 Are Two Novel Diagnostic Biomarkers for Glioblastoma Multiforme. Pharmaceuticals (Basel) 2021; 14:ph14070618. [PMID: 34198978 PMCID: PMC8308516 DOI: 10.3390/ph14070618] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/22/2021] [Accepted: 06/25/2021] [Indexed: 01/05/2023] Open
Abstract
Glioblastoma multiforme (GBM) is the most frequent and deadly human brain cancer. Early diagnosis through non-invasive biomarkers may render GBM more easily treatable, improving the prognosis of this currently incurable disease. We suggest the use of serum extracellular vesicle (sEV)-derived circular RNAs (circRNAs) as highly stable minimally invasive diagnostic biomarkers for GBM diagnosis. EVs were isolated by size exclusion chromatography from sera of 23 GBM and 5 grade 3 glioma (GIII) patients, and 10 unaffected controls (UC). The expression of two candidate circRNAs (circSMARCA5 and circHIPK3) was assayed by droplet digital PCR. CircSMARCA5 and circHIPK3 were significantly less abundant in sEVs from GBM patients with respect to UC (fold-change (FC) of -2.15 and -1.92, respectively) and GIII (FC of -1.75 and -1.4, respectively). Receiver operating characteristic curve (ROC) analysis, based on the expression of sEV-derived circSMARCA5 and circHIPK3, allowed us to distinguish GBM from UC (area under the curve (AUC) 0.823 (0.667-0.979) and 0.855 (0.704 to 1.000), with a 95% confidence interval (CI), respectively). Multivariable ROC analysis, performed by combining the expression of sEV-derived circSMARCA5 and circHIPK3 with preoperative neutrophil to lymphocyte (NLR), platelet to lymphocyte (PLR) and lymphocyte to monocyte (LMR) ratios, three known diagnostic and prognostic GBM markers, allowed an improvement in the GBM diagnostic accuracy (AUC 0.901 (0.7912 to 1.000), 95% CI). Our data suggest sEV-derived circSMARCA5 and circHIPK3 as good diagnostic biomarkers for GBM, especially when associated with preoperative NLR, PLR and LMR.
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Affiliation(s)
- Michele Stella
- Department of Biomedical and Biotechnological Sciences, Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy; (M.S.); (A.C.); (C.B.); (R.B.); (F.M.); (M.R.); (C.D.P.); (M.P.)
| | - Luca Falzone
- Department of Biomedical and Biotechnological Sciences, Section of Pathology, University of Catania, 95123 Catania, Italy; (L.F.); (G.G.); (M.L.)
| | - Angela Caponnetto
- Department of Biomedical and Biotechnological Sciences, Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy; (M.S.); (A.C.); (C.B.); (R.B.); (F.M.); (M.R.); (C.D.P.); (M.P.)
| | - Giuseppe Gattuso
- Department of Biomedical and Biotechnological Sciences, Section of Pathology, University of Catania, 95123 Catania, Italy; (L.F.); (G.G.); (M.L.)
| | - Cristina Barbagallo
- Department of Biomedical and Biotechnological Sciences, Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy; (M.S.); (A.C.); (C.B.); (R.B.); (F.M.); (M.R.); (C.D.P.); (M.P.)
| | - Rosalia Battaglia
- Department of Biomedical and Biotechnological Sciences, Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy; (M.S.); (A.C.); (C.B.); (R.B.); (F.M.); (M.R.); (C.D.P.); (M.P.)
| | - Federica Mirabella
- Department of Biomedical and Biotechnological Sciences, Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy; (M.S.); (A.C.); (C.B.); (R.B.); (F.M.); (M.R.); (C.D.P.); (M.P.)
| | - Giuseppe Broggi
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, Section of Anatomic Pathology, University of Catania, 95123 Catania, Italy; (G.B.); (R.C.)
| | - Roberto Altieri
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, Neurological Surgery, Policlinico “Rodolico-San Marco” University Hospital, University of Catania, 95123 Catania, Italy; (R.A.); (F.C.); (G.M.V.B.)
- Interdisciplinary Research Centre on the Diagnosis and Therapy of Brain Tumors, University of Catania, 95123 Catania, Italy
| | - Francesco Certo
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, Neurological Surgery, Policlinico “Rodolico-San Marco” University Hospital, University of Catania, 95123 Catania, Italy; (R.A.); (F.C.); (G.M.V.B.)
- Interdisciplinary Research Centre on the Diagnosis and Therapy of Brain Tumors, University of Catania, 95123 Catania, Italy
| | - Rosario Caltabiano
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, Section of Anatomic Pathology, University of Catania, 95123 Catania, Italy; (G.B.); (R.C.)
| | - Giuseppe Maria Vincenzo Barbagallo
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, Neurological Surgery, Policlinico “Rodolico-San Marco” University Hospital, University of Catania, 95123 Catania, Italy; (R.A.); (F.C.); (G.M.V.B.)
- Interdisciplinary Research Centre on the Diagnosis and Therapy of Brain Tumors, University of Catania, 95123 Catania, Italy
| | - Paolo Musumeci
- Department of Physics and Astronomy, University of Catania, 95123 Catania, Italy;
| | - Marco Ragusa
- Department of Biomedical and Biotechnological Sciences, Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy; (M.S.); (A.C.); (C.B.); (R.B.); (F.M.); (M.R.); (C.D.P.); (M.P.)
- Interdisciplinary Research Centre on the Diagnosis and Therapy of Brain Tumors, University of Catania, 95123 Catania, Italy
| | - Cinzia Di Pietro
- Department of Biomedical and Biotechnological Sciences, Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy; (M.S.); (A.C.); (C.B.); (R.B.); (F.M.); (M.R.); (C.D.P.); (M.P.)
| | - Massimo Libra
- Department of Biomedical and Biotechnological Sciences, Section of Pathology, University of Catania, 95123 Catania, Italy; (L.F.); (G.G.); (M.L.)
- Research Center for Prevention, Diagnosis and Treatment of Cancer, University of Catania, 95123 Catania, Italy
| | - Michele Purrello
- Department of Biomedical and Biotechnological Sciences, Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy; (M.S.); (A.C.); (C.B.); (R.B.); (F.M.); (M.R.); (C.D.P.); (M.P.)
- Interdisciplinary Research Centre on the Diagnosis and Therapy of Brain Tumors, University of Catania, 95123 Catania, Italy
| | - Davide Barbagallo
- Department of Biomedical and Biotechnological Sciences, Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy; (M.S.); (A.C.); (C.B.); (R.B.); (F.M.); (M.R.); (C.D.P.); (M.P.)
- Interdisciplinary Research Centre on the Diagnosis and Therapy of Brain Tumors, University of Catania, 95123 Catania, Italy
- Correspondence: ; Tel.: +39-0953782089
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Ali H, Harting R, de Vries R, Ali M, Wurdinger T, Best MG. Blood-Based Biomarkers for Glioma in the Context of Gliomagenesis: A Systematic Review. Front Oncol 2021; 11:665235. [PMID: 34150629 PMCID: PMC8211985 DOI: 10.3389/fonc.2021.665235] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 05/18/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Gliomas are the most common and aggressive tumors of the central nervous system. A robust and widely used blood-based biomarker for glioma has not yet been identified. In recent years, a plethora of new research on blood-based biomarkers for glial tumors has been published. In this review, we question which molecules, including proteins, nucleic acids, circulating cells, and metabolomics, are most promising blood-based biomarkers for glioma diagnosis, prognosis, monitoring and other purposes, and align them to the seminal processes of cancer. METHODS The Pubmed and Embase databases were systematically searched. Biomarkers were categorized in the identified biomolecules and biosources. Biomarker characteristics were assessed using the area under the curve (AUC), accuracy, sensitivity and/or specificity values and the degree of statistical significance among the assessed clinical groups was reported. RESULTS 7,919 references were identified: 3,596 in PubMed and 4,323 in Embase. Following screening of titles, abstracts and availability of full-text, 262 articles were included in the final systematic review. Panels of multiple biomarkers together consistently reached AUCs >0.8 and accuracies >80% for various purposes but especially for diagnostics. The accuracy of single biomarkers, consisting of only one measurement, was far more variable, but single microRNAs and proteins are generally more promising as compared to other biomarker types. CONCLUSION Panels of microRNAs and proteins are most promising biomarkers, while single biomarkers such as GFAP, IL-10 and individual miRNAs also hold promise. It is possible that panels are more accurate once these are involved in different, complementary cancer-related molecular pathways, because not all pathways may be dysregulated in cancer patients. As biomarkers seem to be increasingly dysregulated in patients with short survival, higher tumor grades and more pathological tumor types, it can be hypothesized that more pathways are dysregulated as the degree of malignancy of the glial tumor increases. Despite, none of the biomarkers found in the literature search seem to be currently ready for clinical implementation, and most of the studies report only preliminary application of the identified biomarkers. Hence, large-scale validation of currently identified and potential novel biomarkers to show clinical utility is warranted.
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Affiliation(s)
- Hamza Ali
- Department of Neurosurgery, Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center and Academic Medical Center, Amsterdam, Netherlands
| | - Romée Harting
- Department of Neurosurgery, Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center and Academic Medical Center, Amsterdam, Netherlands
| | - Ralph de Vries
- Medical Library, Vrije Universiteit, Amsterdam, Netherlands
| | - Meedie Ali
- Department of Neurosurgery, Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center and Academic Medical Center, Amsterdam, Netherlands
| | - Thomas Wurdinger
- Department of Neurosurgery, Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center and Academic Medical Center, Amsterdam, Netherlands
| | - Myron G. Best
- Department of Neurosurgery, Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center and Academic Medical Center, Amsterdam, Netherlands
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Alix‐Panabières C, Pantel K. Liquid biopsy: from discovery to clinical implementation. Mol Oncol 2021; 15:1617-1621. [PMID: 34075709 PMCID: PMC8169443 DOI: 10.1002/1878-0261.12997] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 05/11/2021] [Indexed: 12/11/2022] Open
Affiliation(s)
- Catherine Alix‐Panabières
- Laboratory of Rare Human Circulating Cells (LCCRH)University Medical Centre of MontpellierMontpellierFrance
- CREEC/CANECEVMIVEGEC (CREES)University of MontpellierCNRSIRDMontpellierFrance
| | - Klaus Pantel
- Department of Tumor BiologyUniversity Cancer Center HamburgUniversity Medical Center Hamburg‐EppendorfHamburgGermany
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