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Alsaab HO, Alzahrani MS, Bahauddin AA, Almutairy B. Circulating tumor DNA (ctDNA) application in investigation of cancer: Bench to bedside. Arch Biochem Biophys 2024; 758:110066. [PMID: 38906310 DOI: 10.1016/j.abb.2024.110066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 06/02/2024] [Accepted: 06/18/2024] [Indexed: 06/23/2024]
Abstract
Now, genomics forms the core of the precision medicine concept. Comprehensive investigations of tumor genomes have made it possible to characterize tumors at the molecular level and, specifically, to identify the fundamental processes that cause condition. A variety of kinds of tumors have seen better outcomes for patients as a result of the development of novel medicines to tackle these genetic-driving processes. Since therapy may exert selective pressure on cancers, non-invasive methods such as liquid biopsies can provide the opportunity for rich reservoirs of crucial and real-time genetic data. Liquid biopsies depend on the identification of circulating cells from tumors, circulating tumor DNA (ctDNA), RNA, proteins, lipids, and metabolites found in patient biofluids, as well as cell-free DNA (cfDNA), which exists in those with cancer. Although it is theoretically possible to examine biological fluids other than plasma, such as pleural fluid, urine, saliva, stool, cerebrospinal fluid, and ascites, we will limit our discussion to blood and solely cfDNA here for the sake of conciseness. Yet, the pace of wider clinical acceptance has been gradual, partly due to the increased difficulty of choosing the best analysis for the given clinical issue, interpreting the findings, and delaying proof of value from clinical trials. Our goal in this review is to discuss the current clinical value of ctDNA in cancers and how clinical oncology systems might incorporate procedures for ctDNA testing.
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Affiliation(s)
- Hashem O Alsaab
- Department of Pharmaceutics and Pharmaceutical Technology, Taif University, Taif, 21944, Saudi Arabia.
| | - Mohammad S Alzahrani
- Department of Clinical Pharmacy, College of Pharmacy, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.
| | - Ammar A Bahauddin
- Department of Pharmacology and Toxicology, College of Pharmacy, Taibah University, Medina Al-Munawarah, Saudi Arabia.
| | - Bandar Almutairy
- Department of Pharmacology, College of Pharmacy, Shaqra University, Shaqra 11961, Saudi Arabia.
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2
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Kim SH, Weigelt B. Circulating cell-free (cf)DNA analysis: Current technologies and applications in gynecologic cancer. Gynecol Oncol Rep 2024; 54:101431. [PMID: 38947418 PMCID: PMC11211888 DOI: 10.1016/j.gore.2024.101431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 06/04/2024] [Accepted: 06/09/2024] [Indexed: 07/02/2024] Open
Abstract
Cell-free DNA (cfDNA) analysis has several promising clinical applications in the management of cancer patients, with clinical validity established in different types of solid tumors (e.g., lung, breast, and colon cancer). Cancers harbor unique genetic alterations that can be detected in the plasma and other bodily fluids of cancer patients, constituting an alternate source of tumor-derived DNA. Technologic advances and wide-spread availability of next-generation sequencing (NGS) have made sequencing analysis of circulating tumor DNA (ctDNA) possible, employing both off-the-shelf and personalized tumor-informed panels. Tumor size, disease burden and high-grade histologic types have been shown to correlate with ctDNA levels across multiple solid cancer types. Detection of tumor-derived genetic alterations in plasma-derived cfDNA can facilitate diagnosis, guide treatment selection, and serve as a biomarker for treatment response and prognostication. Molecular residual disease (MRD) is at the forefront of cfDNA analysis, with implications in treatment de-escalation/ escalation in the neoadjuvant and adjuvant settings. The development of cfDNA analysis in early detection of cancers is under active investigation. Proof-of-principles studies in gynecologic cancers have demonstrated feasibility and potential for innovation in cancers lacking specific biomarkers, including the tracking of human papillomavirus (HPV) cfDNA in patients with cervical cancer. In this review, we outline the assays currently available for cfDNA sequencing/ ctDNA detection, the role of cfDNA analysis in clinical decision-making and the current status and potential clinical uses of cfDNA research in gynecologic cancers.
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Affiliation(s)
- Sarah H Kim
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Britta Weigelt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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3
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Verschoor N, Bos MK, Oomen-de Hoop E, Martens JWM, Sleijfer S, Jager A, Beije N. A review of trials investigating ctDNA-guided adjuvant treatment of solid tumors: The importance of trial design. Eur J Cancer 2024; 207:114159. [PMID: 38878446 DOI: 10.1016/j.ejca.2024.114159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 05/24/2024] [Accepted: 05/30/2024] [Indexed: 07/14/2024]
Abstract
Circulating tumor DNA (ctDNA) holds promise as a biomarker for guiding adjuvant treatment decisions in solid tumors. This review systematically assembles ongoing and published trials investigating ctDNA-directed adjuvant treatment strategies. A total of 57 phase II/III trials focusing on ctDNA in minimal residual disease (MRD) detection were identified, with a notable increase in initiation over recent years. Most trials target stage II or III colon/colorectal cancer, followed by breast cancer and non-small cell lung cancer. Trial methodologies vary, with some randomizing ctDNA-positive patients between standard-of-care (SoC) treatment and intensified regimens, while others aim to de-escalate therapy in ctDNA-negative patients. Challenges in trial design include the need for randomized controlled trials to establish clinical utility for ctDNA, ensuring adherence to standard treatment in control arms, and addressing the ethical dilemma of withholding treatment in high-risk ctDNA-positive patients. Longitudinal ctDNA surveillance emerges as a strategy to improve sensitivity for recurrence, particularly in less proliferative tumor types. However, ctDNA as longitudinal marker is often not validated yet. Ultimately, designing effective ctDNA interventional trials requires careful consideration of feasibility, meaningful outcomes, and potential impact on patient care.
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Affiliation(s)
- Noortje Verschoor
- Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, the Netherlands.
| | - Manouk K Bos
- Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, the Netherlands
| | - Esther Oomen-de Hoop
- Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, the Netherlands
| | - John W M Martens
- Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, the Netherlands
| | - Stefan Sleijfer
- Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, the Netherlands
| | - Agnes Jager
- Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, the Netherlands
| | - Nick Beije
- Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, the Netherlands
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Zheng W, Min Y, Pang K, Wu D. Sample Collection and Processing in Volatile Organic Compound Analysis for Gastrointestinal Cancers. Diagnostics (Basel) 2024; 14:1563. [PMID: 39061700 DOI: 10.3390/diagnostics14141563] [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: 06/07/2024] [Revised: 07/17/2024] [Accepted: 07/18/2024] [Indexed: 07/28/2024] Open
Abstract
Volatile organic compounds have drawn significant attention in recent years as a novel tool for non-invasive detection of a wide range of diseases, including gastrointestinal cancers, for which the need for effective, affordable, and non-invasive screening methods is substantial. Sample preparation is a fundamental step that greatly influences the quality of results and the feasibility of wide-range applications. This review summarizes sampling methods used in studies aiming at testing the diagnostic value of volatile organic compounds in gastrointestinal cancers, discussing in detail some of the recent advancements in automated sampling techniques. Finally, we propose some directions in which sample collection and processing can improve for VOC analysis to be popularized in clinical settings.
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Affiliation(s)
- Weiyang Zheng
- Department of Gastroenterology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Yiyang Min
- 8-yr M.D. Program, Peking Union Medical College, Beijing 100730, China
| | - Ke Pang
- 8-yr M.D. Program, Peking Union Medical College, Beijing 100730, China
| | - Dong Wu
- Department of Gastroenterology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
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5
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Jun S, Shukla NA, Durm G, Hui AB, Cao S, Ganti AK, Jabbour SK, Kunder C, Alizadeh AA, Hanna NH, Diehn M. Analysis of Circulating Tumor DNA Predicts Outcomes of Short-Course Consolidation Immunotherapy in Unresectable Stage III NSCLC. J Thorac Oncol 2024:S1556-0864(24)00664-6. [PMID: 38971369 DOI: 10.1016/j.jtho.2024.06.024] [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: 02/29/2024] [Revised: 06/13/2024] [Accepted: 06/30/2024] [Indexed: 07/08/2024]
Abstract
INTRODUCTION The current standard of care for patients with inoperable stage III non-small cell lung cancer includes chemoradiotherapy (CRT) followed by 1 year of checkpoint inhibitor (CPI) therapy. Nevertheless, the optimal duration of consolidation CPI remains unknown. Here, we characterized the relationship between circulating tumor DNA (ctDNA) minimal residual disease (MRD) and clinical outcomes of patients with unresectable locally advanced non-small cell lung cancer treated on a phase 2 trial of short-course consolidation immunotherapy after CRT, with the goal of testing whether ctDNA may be able to identify patients who do not require a full year of treatment. METHODS Plasma samples for ctDNA analysis were collected from patients on the Big Ten Cancer Research Consortium LUN 16-081 trial after completion of CRT, before day 1 of cycle 2 (C2D1) of CPI (i.e., 1 mo after treatment start), and at the end of up to 6 months of treatment. Tumor-informed ctDNA MRD analysis was performed using cancer personalized profiling by deep sequencing. Levels of ctDNA at each time point were correlated with clinical outcomes. RESULTS Detection of ctDNA predicted significantly inferior progression-free survival after completion of CRT (24-mo 29% versus 65%, p = 0.0048), before C2D1 of CPI (24-mo 0% versus 72%, p < 0.0001) and at the end of CPI (24-mo 15% versus 67%, p = 0.0011). In addition, patients with decreasing or undetectable ctDNA levels after 1 cycle of CPI had improved outcomes compared with patients with increasing ctDNA levels (24-mo progression-free survival 72% versus 0%, p < 0.0001). Progression of disease occurred within less than 12 months of starting CPI in all patients with increasing ctDNA levels at C2D1. CONCLUSIONS Detection of ctDNA before, during, or after 6 months of consolidation CPI is strongly associated with inferior outcomes. Our findings suggest that analysis of ctDNA MRD may enable personalizing the duration of consolidation immunotherapy treatment.
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Affiliation(s)
- Soyeong Jun
- Department of Radiation Oncology, Stanford University, Stanford, California; Stanford Cancer Institute, Stanford University, Stanford, California
| | - Nikhil A Shukla
- Community Hospital Oncology Physicians, Community Health Network MD Anderson Comprehensive Cancer Center, Indianapolis, Indiana
| | - Greg Durm
- Division of Hematology/Oncology, IU Simon Comprehensive Cancer Center, Indianapolis, Indiana
| | - Angela B Hui
- Department of Radiation Oncology, Stanford University, Stanford, California; Stanford Cancer Institute, Stanford University, Stanford, California
| | - Sha Cao
- Division of Hematology/Oncology, IU Simon Comprehensive Cancer Center, Indianapolis, Indiana
| | - Apar Kishor Ganti
- Division of Oncology-Hematology, Department of Internal Medicine, VA Nebraska Western Iowa Health Care System and University of Nebraska Medical Center, Omaha, Nebraska
| | - Salma K Jabbour
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey
| | - Christian Kunder
- Department of Pathology, Stanford University, Stanford, California
| | - Ash A Alizadeh
- Stanford Cancer Institute, Stanford University, Stanford, California; Division of Oncology, Department of Medicine, Stanford University, Stanford, California; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California
| | - Nasser H Hanna
- Division of Hematology/Oncology, IU Simon Comprehensive Cancer Center, Indianapolis, Indiana
| | - Maximilian Diehn
- Department of Radiation Oncology, Stanford University, Stanford, California; Stanford Cancer Institute, Stanford University, Stanford, California; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California.
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Gómez-Peregrina D, Cicala CM, Serrano C. Monitoring advanced gastrointestinal stromal tumor with circulating tumor DNA. Curr Opin Oncol 2024; 36:282-290. [PMID: 38726808 DOI: 10.1097/cco.0000000000001040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2024]
Abstract
PURPOSE OF REVIEW This review explores the role of circulating tumor (ct)DNA as a biomarker for clinical decision-making and monitoring purposes in metastatic gastrointestinal stromal tumor (GIST) patients. We discuss key insights from recent clinical trials and anticipate the future perspectives of ctDNA profiling within the clinical landscape of GIST. RECENT FINDINGS The identification and molecular characterization of KIT/platelet-derived growth factor receptor alpha (PDGFRA) mutations from ctDNA in metastatic GIST is feasible and reliable. Such identification through ctDNA serves as a predictor of clinical outcomes to tyrosine-kinase inhibitors (TKIs) in metastatic patients. Additionally, conjoined ctDNA analysis from clinical trials reveal the evolving mutational landscapes and increase in intratumoral heterogeneity across treatment lines. Together, this data positions ctDNA determination as a valuable tool for monitoring disease progression and guiding therapy in metastatic patients. These collective efforts culminated in the initiation of a ctDNA-based randomized clinical trial in GIST, marking a significant milestone in integrating ctDNA testing into the clinical care of GIST patients. SUMMARY The dynamic field of ctDNA technologies is rapidly evolving and holds significant promise for research. Several trials have successfully validated the clinical utility of ctDNA in metastatic GIST, laying the foundations for its prospective integration into the routine clinical management of GIST patients.
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Affiliation(s)
- David Gómez-Peregrina
- Sarcoma Translational Research Laboratory, Vall d'Hebron Institute of Oncology (VHIO)
| | - Carlo Maria Cicala
- Sarcoma Translational Research Laboratory, Vall d'Hebron Institute of Oncology (VHIO)
- Department of Medical Oncology, Vall d'Hebron University Hospital, Barcelona, Spain
| | - César Serrano
- Sarcoma Translational Research Laboratory, Vall d'Hebron Institute of Oncology (VHIO)
- Department of Medical Oncology, Vall d'Hebron University Hospital, Barcelona, Spain
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Abbosh C, Hodgson D, Doherty GJ, Gale D, Black JRM, Horn L, Reis-Filho JS, Swanton C. Implementing circulating tumor DNA as a prognostic biomarker in resectable non-small cell lung cancer. Trends Cancer 2024; 10:643-654. [PMID: 38839544 DOI: 10.1016/j.trecan.2024.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 04/16/2024] [Accepted: 04/24/2024] [Indexed: 06/07/2024]
Abstract
Systemic treatment of resectable non-small cell lung cancer (NSCLC) is evolving with emerging neoadjuvant, perioperative, and adjuvant immunotherapy approaches. Circulating tumor DNA (ctDNA) detection at clinical diagnosis, during neoadjuvant therapy, or after resection may discern high-risk patients who might benefit from therapy escalation or switch. This Review summarizes translational implications of data supporting ctDNA-based risk determination in NSCLC and outstanding questions regarding ctDNA validity/utility as a prognostic biomarker. We discuss emerging ctDNA capabilities to refine clinical tumor-node-metastasis (TNM) staging in lung adenocarcinoma, ctDNA dynamics during neoadjuvant therapy for identifying patients deriving suboptimal benefit, and postoperative molecular residual disease (MRD) detection to escalate systemic therapy. Considering differential relapse characteristics in landmark MRD-negative/MRD-positive patients, we propose how ctDNA might integrate with pathological response data for optimal postoperative risk stratification.
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Affiliation(s)
- Chris Abbosh
- Cancer Biomarker Development, Early Oncology AstraZeneca, Cambridge, UK
| | - Darren Hodgson
- Cancer Biomarker Development, Early Oncology AstraZeneca, Cambridge, UK
| | | | - Davina Gale
- Cancer Biomarker Development, Early Oncology AstraZeneca, Cambridge, UK
| | - James R M Black
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute and University College London Cancer Institute, London, UK
| | - Leora Horn
- Clinical Development, Late Oncology, AstraZeneca, Nashville, TN, USA
| | - Jorge S Reis-Filho
- Cancer Biomarker Development, Early Oncology, AstraZeneca, Gaithersburg, MD, USA
| | - Charles Swanton
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute and University College London Cancer Institute, London, UK; Department of Medical Oncology, University College London Hospitals, London, UK.
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Abstract
This review delves into the rapidly evolving landscape of liquid biopsy technologies based on cell-free DNA (cfDNA) and cell-free RNA (cfRNA) and their increasingly prominent role in precision medicine. With the advent of high-throughput DNA sequencing, the use of cfDNA and cfRNA has revolutionized noninvasive clinical testing. Here, we explore the physical characteristics of cfDNA and cfRNA, present an overview of the essential engineering tools used by the field, and highlight clinical applications, including noninvasive prenatal testing, cancer testing, organ transplantation surveillance, and infectious disease testing. Finally, we discuss emerging technologies and the broadening scope of liquid biopsies to new areas of diagnostic medicine.
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Affiliation(s)
- Conor Loy
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA;
| | - Lauren Ahmann
- Department of Pathology, Stanford University, Stanford, California, USA;
| | - Iwijn De Vlaminck
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA;
| | - Wei Gu
- Department of Pathology, Stanford University, Stanford, California, USA;
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9
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Eslinger C, Wu C, Ahn DH. Minimal residual disease monitoring via ctDNA: a case report of Lynch syndrome with synchronous colorectal cancer and review of literature. J Gastrointest Oncol 2024; 15:1341-1347. [PMID: 38989405 PMCID: PMC11231860 DOI: 10.21037/jgo-24-81] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 04/12/2024] [Indexed: 07/12/2024] Open
Abstract
Background The investigation of circulating tumor DNA (ctDNA) as a substitute for minimal residual disease (MRD) has been a central focus in various clinical trials, with findings highlighting its effectiveness as a sensitive marker for detecting recurrence. In 2018, a joint review by the American Society of Clinical Oncology and the College of American Pathologists acknowledged a lack of current evidence guiding clinical decisions regarding ctDNA. Nevertheless, there are a multitude of ongoing studies exploring the future applications of ctDNA and its role in clinical decision making for select patient populations. Case Description The case presented involves a patient with Lynch syndrome who developed synchronous left-sided colorectal cancers (CRC). Each primary malignancy exhibited a distinct mutational profile, introducing complexity to the personalized tumor-informed assays used for quantifying ctDNA levels. Initial ctDNA levels were negative until the assay was calibrated to the transverse colon primary tumor. Unfortunately, surveillance imaging showed radiographic recurrence coinciding with positive ctDNA findings. Treatment with the anti-PD-1 inhibitor pembrolizumab was initiated, resulting in the clearance of ctDNA after just four cycles. As of now, there is no radiographic or biologic evidence indicating disease recurrence. Conclusions This case study sheds light on the evolving landscape and current limitations of ctDNA as a surrogate for MRD. We describe a patient with synchronous CRC who had radiographic recurrence and a negative MRD assay. Current tumor-informed assays are limited in their capacity to detect a single tumor, and by nature can miss both synchronous and metachronous malignancies. Assays tailored to multiple tumors or utilizing tumor agnostic methods should be a part of clinical decision making in this patient population.
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Affiliation(s)
- Cody Eslinger
- Department of Hematology-Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA
| | - Christina Wu
- Department of Hematology-Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA
| | - Daniel H Ahn
- Department of Hematology-Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA
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Marinello A, Tagliamento M, Pagliaro A, Conci N, Cella E, Vasseur D, Remon J, Levy A, Dall'Olio FG, Besse B. Circulating tumor DNA to guide diagnosis and treatment of localized and locally advanced non-small cell lung cancer. Cancer Treat Rev 2024; 129:102791. [PMID: 38963991 DOI: 10.1016/j.ctrv.2024.102791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 06/15/2024] [Accepted: 06/22/2024] [Indexed: 07/06/2024]
Abstract
Liquid biopsy is a minimally invasive method for biomarkers detection in body fluids, particularly in blood, which offers an elevated and growing number of clinical applications in oncology. As a result of the improvement in the techniques for DNA analysis, above all next-generation sequencing (NGS) assays, circulating tumor DNA (ctDNA) has become the most informing tumor-derived material for most types of cancer, including non-small cell lung cancer (NSCLC). Although ctDNA concentration is higher in patients with advanced tumors, it can be detected even in patients with early-stage disease. Therefore, numerous clinical applications of ctDNA in the management of early-stage lung cancer are emerging, such as lung cancer screening, the identification of minimal residual disease (MRD), and the prediction of relapse before radiologic progression. Moreover, a high number of clinical trials are ongoing to better define the impact of ctDNA evaluation in this setting. Aim of this review is to offer a comprehensive overview of the most relevant implementations in using ctDNA for the management of early-stage lung cancer, addressing available data, technical aspects, limitations, and future perspectives.
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Affiliation(s)
- Arianna Marinello
- Department of Cancer Medicine, Gustave Roussy, Villejuif, France; INSERM Unit 1030 - Molecular Radiotherapy and Therapeutic Innovation, Gustave Roussy, Villejuif, France
| | - Marco Tagliamento
- Department of Cancer Medicine, Gustave Roussy, Villejuif, France; Department of Internal Medicine and Medical Specialties, University of Genova, Genova, Italy.
| | - Arianna Pagliaro
- Department of Cancer Medicine, Gustave Roussy, Villejuif, France; Department of Medical Oncology, IRCCS Istituto Clinico Humanitas, Rozzano, Italy
| | - Nicole Conci
- Department of Medical Oncology, IRCCS Sant'Orsola-Malpighi, Bologna, Italy
| | - Eugenia Cella
- Department of Internal Medicine and Medical Specialties, University of Genova, Genova, Italy
| | - Damien Vasseur
- Department of Medical Biology and Pathology, Gustave Roussy, Villejuif, France
| | - Jordi Remon
- Department of Cancer Medicine, Gustave Roussy, Villejuif, France
| | - Antonin Levy
- Department of Radiotherapy, Gustave Roussy, Villejuif, France
| | | | - Benjamin Besse
- Department of Cancer Medicine, Gustave Roussy, Villejuif, France
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11
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De Simoni E, Spagnolo F, Gandini S, Gaeta A, Rizzetto G, Molinelli E, Simonetti O, Offidani A, Queirolo P. Circulating tumor DNA-based assessment of molecular residual disease in non-metastatic melanoma. Cancer Treat Rev 2024; 129:102788. [PMID: 38908229 DOI: 10.1016/j.ctrv.2024.102788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 06/10/2024] [Accepted: 06/17/2024] [Indexed: 06/24/2024]
Abstract
In patients with resected non-metastatic melanoma, the liquid biopsy for the assessment of molecular residual disease (MRD) by circulating tumour DNA (ctDNA) represents a promising tool to stratify the risk and to monitor tumour evolution. However, its validation requires the demonstration of analytical validity, clinical validity and utility. Indeed, the development of sensitive and specific assays can optimize prognostication and eventually help clinicians to modulate adjuvant treatments, in order to improve clinical outcomes. Data about ctDNA-guided prognosis stratification is emerging, but clinical trials assessing ctDNA-guided therapeutic decisions are still ongoing. This review aims to depict the role of ctDNA-based MRD assessment in patients with non-metastatic melanoma and to provide a roadmap to face challenges for its introduction into clinical practice.
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Affiliation(s)
- Edoardo De Simoni
- Clinic of Dermatology, Department of Clinical and Molecular Sciences, Polytechnic University of Marche, Ancona, Italy
| | - Francesco Spagnolo
- Skin Cancer Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Surgical Sciences and Integrated Diagnostics (DISC), Plastic Surgery Division, University of Genova, Genova, Italy
| | - Sara Gandini
- Department of Experimental Oncology, European Institute of Oncology IRCCS, Milan, Italy
| | - Aurora Gaeta
- Department of Experimental Oncology, European Institute of Oncology IRCCS, Milan, Italy
| | - Giulio Rizzetto
- Clinic of Dermatology, Department of Clinical and Molecular Sciences, Polytechnic University of Marche, Ancona, Italy
| | - Elisa Molinelli
- Clinic of Dermatology, Department of Clinical and Molecular Sciences, Polytechnic University of Marche, Ancona, Italy
| | - Oriana Simonetti
- Clinic of Dermatology, Department of Clinical and Molecular Sciences, Polytechnic University of Marche, Ancona, Italy
| | - Annamaria Offidani
- Clinic of Dermatology, Department of Clinical and Molecular Sciences, Polytechnic University of Marche, Ancona, Italy
| | - Paola Queirolo
- Division of Medical Oncology for Melanoma, Sarcoma, and Rare Tumors, European Institute of Oncology IRCCS, Milan, Italy.
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12
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Klocker EV, Hasenleithner S, Bartsch R, Gampenrieder SP, Egle D, Singer CF, Rinnerthaler G, Hubalek M, Schmitz K, Bago-Horvath Z, Petzer A, Heibl S, Heitzer E, Balic M, Gnant M. Clinical applications of next-generation sequencing-based ctDNA analyses in breast cancer: defining treatment targets and dynamic changes during disease progression. Mol Oncol 2024. [PMID: 38867388 DOI: 10.1002/1878-0261.13671] [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: 11/02/2023] [Revised: 03/03/2024] [Accepted: 05/17/2024] [Indexed: 06/14/2024] Open
Abstract
The advancements in the detection and characterization of circulating tumor DNA (ctDNA) have revolutionized precision medicine and are likely to transform standard clinical practice. The non-invasive nature of this approach allows for molecular profiling of the entire tumor entity, while also enabling real-time monitoring of the effectiveness of cancer therapies as well as the identification of resistance mechanisms to guide targeted therapy. Although the field of ctDNA studies offers a wide range of applications, including in early disease, in this review we mainly focus on the role of ctDNA in the dynamic molecular characterization of unresectable locally advanced and metastatic BC (mBC). Here, we provide clinical practice guidance for the rapidly evolving field of molecular profiling of mBC, outlining the current landscape of liquid biopsy applications and how to choose the right ctDNA assay. Additionally, we underline the importance of exploring the clinical relevance of novel molecular alterations that potentially represent therapeutic targets in mBC, along with mutations where targeted therapy is already approved. Finally, we present a potential roadmap for integrating ctDNA analysis into clinical practice.
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Affiliation(s)
- Eva Valentina Klocker
- Division of Oncology, Department of Internal Medicine, Medical University of Graz, Austria
| | - Samantha Hasenleithner
- Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Austria
| | - Rupert Bartsch
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Austria
| | - Simon P Gampenrieder
- Third Medical Department with Hematology and Medical Oncology, Hemostaseology, Rheumatology and Infectious Diseases, Oncologic Center, Paracelsus Medical University Salzburg, Austria
| | - Daniel Egle
- Department of Gynecology, Breast Cancer Center Tirol, Medical University of Innsbruck, Austria
| | - Christian F Singer
- Department of Gynecology, Breast Cancer Center Vienna, Medical University of Vienna, Austria
| | - Gabriel Rinnerthaler
- Division of Oncology, Department of Internal Medicine, Medical University of Graz, Austria
| | - Michael Hubalek
- Department of Gynecology, Breast Health Center Schwaz, Austria
| | - Katja Schmitz
- Institute of Pathology, University Medical Center Göttingen, Germany
- Tyrolpath Obrist Brunhuber GmbH and Krankenhaus St. Vinzenz, Zams, Austria
| | | | - Andreas Petzer
- Department of Internal Medicine I for Hematology with Stem Cell Transplantation, Hemostaseology and Medical Oncology, Barmherzige Schwestern, Elisabethinen, Ordensklinikum Linz GmbH, Austria
| | - Sonja Heibl
- Department of Internal Medicine IV, Klinikum Wels-Grieskirchen GmbH, Austria
| | - Ellen Heitzer
- Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Christian Doppler Laboratory for Liquid Biopsies for early Detection of Cancer, Medical University of Graz, Austria
| | - Marija Balic
- Division of Oncology, Department of Internal Medicine, Medical University of Graz, Austria
- Division of Hematology and Medical Oncology, University of Pittsburgh School of Medicine, PA, USA
| | - Michael Gnant
- Comprehensive Cancer Center, Medical University of Vienna, Austria
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13
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Bahabayi A, Guan Z, Zheng M, Yu H, Hasimu A, Nie Y, Zhao M, Zhu Y, Ren J, Zhao Y, Ma X, Li Q, Zhang Z, Zeng X, Liu C. Expression of GPR56 reflects a hypoactivated state of circulating B cells and is downregulated in B cell subsets in patients with early-stage lung adenocarcinoma. Immunology 2024. [PMID: 38840413 DOI: 10.1111/imm.13819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 05/17/2024] [Indexed: 06/07/2024] Open
Abstract
Lung adenocarcinoma (LUAD) is the most prevalent subtype of lung cancer, and the early detection and diagnosis of this disease are crucial in reducing mortality rates. The timely diagnosis of LUAD is essential for controlling tumour development and enabling early surgical treatment. GPR56 is a vital G protein-coupled receptor and its role in T lymphocytes has received considerable attention. However, its function in B cells remains unclear. This study aimed to investigate the significance of GPR56 in LUAD. We found that GPR56 exhibited a significant increase in circulating plasmablasts and a decrease in new memory B cells. GPR56 expression in B cells was significantly reduced after LPS stimulation and the proportion of HLA-DR+ and CD40+ proportions were also decreased in GPR56+ B cells after stimulation. Additionally, GPR56 exhibited significant down-regulation in circulating B cell subsets of early-stage LUAD patients, and there were significant correlations between GPR56+ B cell subsets and tumour markers. In conclusion, GPR56 could reflect the hypoactivation state of B cells and the decreased proportion of GPR56+ B cell subset in LUAD patients can signify the active humoral immunity in vivo. The expression of GPR56 in B cells could potentially hold value in the early diagnosis of LUAD.
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Affiliation(s)
- Ayibaota Bahabayi
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Zhao Guan
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Mohan Zheng
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
- School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - He Yu
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Ainizati Hasimu
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Yuying Nie
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Ming Zhao
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Yaoyi Zhu
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Jiaxin Ren
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Yiming Zhao
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Xiancan Ma
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Qi Li
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Zhonghui Zhang
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Xingyue Zeng
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Chen Liu
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
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14
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Yoon SM, Bazan JG. Navigating Breast Cancer Oligometastasis and Oligoprogression: Current Landscape and Future Directions. Curr Oncol Rep 2024; 26:647-664. [PMID: 38652425 PMCID: PMC11168988 DOI: 10.1007/s11912-024-01529-2] [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] [Accepted: 03/25/2024] [Indexed: 04/25/2024]
Abstract
PURPOSE We examine the potential for curative approaches among metastatic breast cancer (MBC) patients by exploring the recent literature on local ablative therapies like surgery and stereotactic body radiation therapy (SBRT) in patients with oligometastatic (OM) breast cancer. We also cover therapies for MBC patients with oligoprogressive (OP) disease. KEY FINDINGS Surgery and SBRT have been studied for OM and OP breast cancer, mainly in retrospective or non-randomized trials. While many studies demonstrated favorable results, a cooperative study and single-institution trial found no support for surgery/SBRT in OM and OP cases, respectively. CONCLUSION While there is interest in applying local therapies to OM and OP breast cancer, the current randomized data does not back the routine use of surgery or SBRT, particularly when considering the potential for treatment-related toxicities. Future research should refine patient selection through advanced imaging and possibly explore these therapies specifically in patients with hormone receptor-positive or HER2-positive disease.
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Affiliation(s)
- Stephanie M Yoon
- Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, 1500 E. Duarte Road, Duarte, CA, 91010, USA
| | - Jose G Bazan
- Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, 1500 E. Duarte Road, Duarte, CA, 91010, USA.
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15
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Chen K, He Y, Wang W, Yuan X, Carbone DP, Yang F. Development of new techniques and clinical applications of liquid biopsy in lung cancer management. Sci Bull (Beijing) 2024; 69:1556-1568. [PMID: 38641511 DOI: 10.1016/j.scib.2024.03.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 12/12/2023] [Accepted: 01/17/2024] [Indexed: 04/21/2024]
Abstract
Lung cancer is an exceedingly malignant tumor reported as having the highest morbidity and mortality of any cancer worldwide, thus posing a great threat to global health. Despite the growing demand for precision medicine, current methods for early clinical detection, treatment and prognosis monitoring in lung cancer are hampered by certain bottlenecks. Studies have found that during the formation and development of a tumor, molecular substances carrying tumor-related genetic information can be released into body fluids. Liquid biopsy (LB), a method for detecting these tumor-related markers in body fluids, maybe a way to make progress in these bottlenecks. In recent years, LB technology has undergone rapid advancements. Therefore, this review will provide information on technical updates to LB and its potential clinical applications, evaluate its effectiveness for specific applications, discuss the existing limitations of LB, and present a look forward to possible future clinical applications. Specifically, this paper will introduce technical updates from the prospectives of engineering breakthroughs in the detection of membrane-based LB biomarkers and other improvements in sequencing technology. Additionally, it will summarize the latest applications of liquid biopsy for the early detection, diagnosis, treatment, and prognosis of lung cancer. We will present the interconnectedness of clinical and laboratory issues and the interplay of technology and application in LB today.
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Affiliation(s)
- Kezhong Chen
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China; Peking University People's Hospital Thoracic Oncology Institute & Research Unit of Intelligence Diagnosis and Treatment in Early Non-small Cell Lung Cancer, Beijing 100044, China
| | - Yue He
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China; Peking University People's Hospital Thoracic Oncology Institute & Research Unit of Intelligence Diagnosis and Treatment in Early Non-small Cell Lung Cancer, Beijing 100044, China
| | - Wenxiang Wang
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China; Peking University People's Hospital Thoracic Oncology Institute & Research Unit of Intelligence Diagnosis and Treatment in Early Non-small Cell Lung Cancer, Beijing 100044, China
| | - Xiaoqiu Yuan
- Peking University Health Science Center, Beijing 100191, China
| | - David P Carbone
- Thoracic Oncology Center, Ohio State University, Columbus 43026, USA.
| | - Fan Yang
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China; Peking University People's Hospital Thoracic Oncology Institute & Research Unit of Intelligence Diagnosis and Treatment in Early Non-small Cell Lung Cancer, Beijing 100044, China.
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16
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Liu Y, Liu S, Zhen D, Huang J, He F. Ultrasensitive Detection of Tumor Suppressor Gene Methylation by Piezoelectric Sensing Based on Enrichment of Transcription Activator-Like Effectors. Anal Chem 2024; 96:8534-8542. [PMID: 38743638 DOI: 10.1021/acs.analchem.4c00484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
The detection of DNA methylation at cytosine/guanine dinucleotide (CpG) islands in promoter regions of tumor suppressor genes has great potential for early cancer screening, diagnosis, and prognosis monitoring. Nevertheless, achieving accurate, sensitive, cost-effective, and quantitative detection of target methylated DNA remains challenging. Herein, we propose a novel piezoelectric sensor (series piezoelectric quartz crystal (SPQC)) based on transcription activator-like effectors (TALEs) for detecting DNA methylation of Ras association domain family 1 isoform A (RASSF1A) tumor suppressor genes (R-5mC). The sensor employs TALEs-Ni magnetic beads to specifically recognize and separate the R-5mC, thereby improving the detection selectivity. The TALEs-Ni magnetic beads-R-5mC complex is sheared by a nucleic acid enzyme (DNAzyme) to release the single-stranded DNA (ST). ST initiates a catalyzed hairpin assembly (CHA) reaction on the surface of the electrode, which in turn triggers the hybridization chain reaction (HCR) and silver staining for enhanced detection sensitivity. The strategy exhibits a linear response in the detection of R-5mC in the range of 1 fM to 1 nM with a detection limit of 0.79 fM. R-5mC as low as 0.01% can be detected, even in the presence of large numbers of unmethylated DNA. The detection of R-5mC in circulating cell-free DNA (cfDNA) derived from clinical plasma specimens of lung cancer patients yielded satisfactory results.
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Affiliation(s)
- Yu Liu
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, P.R. China
| | - Shuyi Liu
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, P.R. China
| | - Deshuai Zhen
- Hunan Key Laboratory of Typical Environment Pollution and Health Hazards, College of Public Health, University of South China, Hengyang 421001, PR China
| | - Ji Huang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, P.R. China
| | - Fengjiao He
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, P.R. China
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17
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Zhou Y, Tao L, Qiu J, Xu J, Yang X, Zhang Y, Tian X, Guan X, Cen X, Zhao Y. Tumor biomarkers for diagnosis, prognosis and targeted therapy. Signal Transduct Target Ther 2024; 9:132. [PMID: 38763973 PMCID: PMC11102923 DOI: 10.1038/s41392-024-01823-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 03/07/2024] [Accepted: 04/02/2024] [Indexed: 05/21/2024] Open
Abstract
Tumor biomarkers, the substances which are produced by tumors or the body's responses to tumors during tumorigenesis and progression, have been demonstrated to possess critical and encouraging value in screening and early diagnosis, prognosis prediction, recurrence detection, and therapeutic efficacy monitoring of cancers. Over the past decades, continuous progress has been made in exploring and discovering novel, sensitive, specific, and accurate tumor biomarkers, which has significantly promoted personalized medicine and improved the outcomes of cancer patients, especially advances in molecular biology technologies developed for the detection of tumor biomarkers. Herein, we summarize the discovery and development of tumor biomarkers, including the history of tumor biomarkers, the conventional and innovative technologies used for biomarker discovery and detection, the classification of tumor biomarkers based on tissue origins, and the application of tumor biomarkers in clinical cancer management. In particular, we highlight the recent advancements in biomarker-based anticancer-targeted therapies which are emerging as breakthroughs and promising cancer therapeutic strategies. We also discuss limitations and challenges that need to be addressed and provide insights and perspectives to turn challenges into opportunities in this field. Collectively, the discovery and application of multiple tumor biomarkers emphasized in this review may provide guidance on improved precision medicine, broaden horizons in future research directions, and expedite the clinical classification of cancer patients according to their molecular biomarkers rather than organs of origin.
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Affiliation(s)
- Yue Zhou
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Lei Tao
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jiahao Qiu
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jing Xu
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xinyu Yang
- West China School of Pharmacy, Sichuan University, Chengdu, 610041, China
| | - Yu Zhang
- West China School of Pharmacy, Sichuan University, Chengdu, 610041, China
- School of Medicine, Tibet University, Lhasa, 850000, China
| | - Xinyu Tian
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xinqi Guan
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xiaobo Cen
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
- National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yinglan Zhao
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China.
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18
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Zollinger DR, Rivers E, Fine A, Huang Y, Son J, Kalyan A, Gray W, Baharian G, Hammond C, Ram R, Ringman L, Hafez D, Savel D, Patel V, Dantone M, Guo C, Childress M, Xu C, Johng D, Wallden B, Pokharel P, Camara W, Hegde PS, Hughes J, Carter C, Davarpanah N, Degaonkar V, Gupta P, Mariathasan S, Powles T, Ferree S, Dennis L, Young A. Analytical validation of a novel comprehensive genomic profiling informed circulating tumor DNA monitoring assay for solid tumors. PLoS One 2024; 19:e0302129. [PMID: 38753705 PMCID: PMC11098318 DOI: 10.1371/journal.pone.0302129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 03/28/2024] [Indexed: 05/18/2024] Open
Abstract
Emerging technologies focused on the detection and quantification of circulating tumor DNA (ctDNA) in blood show extensive potential for managing patient treatment decisions, informing risk of recurrence, and predicting response to therapy. Currently available tissue-informed approaches are often limited by the need for additional sequencing of normal tissue or peripheral mononuclear cells to identify non-tumor-derived alterations while tissue-naïve approaches are often limited in sensitivity. Here we present the analytical validation for a novel ctDNA monitoring assay, FoundationOne®Tracker. The assay utilizes somatic alterations from comprehensive genomic profiling (CGP) of tumor tissue. A novel algorithm identifies monitorable alterations with a high probability of being somatic and computationally filters non-tumor-derived alterations such as germline or clonal hematopoiesis variants without the need for sequencing of additional samples. Monitorable alterations identified from tissue CGP are then quantified in blood using a multiplex polymerase chain reaction assay based on the validated SignateraTM assay. The analytical specificity of the plasma workflow is shown to be 99.6% at the sample level. Analytical sensitivity is shown to be >97.3% at ≥5 mean tumor molecules per mL of plasma (MTM/mL) when tested with the most conservative configuration using only two monitorable alterations. The assay also demonstrates high analytical accuracy when compared to liquid biopsy-based CGP as well as high qualitative (measured 100% PPA) and quantitative precision (<11.2% coefficient of variation).
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Affiliation(s)
| | | | - Alexander Fine
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Yanmei Huang
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Joseph Son
- Natera, Austin, TX, United States of America
| | | | - Wren Gray
- Natera, Austin, TX, United States of America
| | | | | | - Rosalyn Ram
- Natera, Austin, TX, United States of America
| | | | - Dina Hafez
- Natera, Austin, TX, United States of America
| | | | - Vipul Patel
- Natera, Austin, TX, United States of America
| | | | - Cui Guo
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | | | - Chang Xu
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Dorhyun Johng
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Brett Wallden
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Prapti Pokharel
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - William Camara
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Priti S. Hegde
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Jason Hughes
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Corey Carter
- Roche/Genentech, South San Francisco, CA, United States of America
| | | | - Viraj Degaonkar
- Roche/Genentech, South San Francisco, CA, United States of America
| | - Pratyush Gupta
- Roche/Genentech, South San Francisco, CA, United States of America
| | | | - Thomas Powles
- Barts Cancer Institute, Barts Experimental Cancer Medicine Centre, Queen Mary University of London, Barts Health, London, United Kingdom
| | - Sean Ferree
- Natera, Austin, TX, United States of America
| | - Lucas Dennis
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Amanda Young
- Foundation Medicine Inc, Cambridge, MA, United States of America
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19
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Stetson D, Labrousse P, Russell H, Shera D, Abbosh C, Dougherty B, Barrett JC, Hodgson D, Hadfield J. Next-Generation Molecular Residual Disease Assays: Do We Have the Tools to Evaluate Them Properly? J Clin Oncol 2024:JCO2302301. [PMID: 38754043 DOI: 10.1200/jco.23.02301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 01/27/2024] [Accepted: 03/05/2024] [Indexed: 05/18/2024] Open
Affiliation(s)
- Dan Stetson
- Translational Medicine, Oncology R&D, AstraZeneca, Waltham, MA
| | - Paul Labrousse
- Translational Medicine, Oncology R&D, AstraZeneca, Waltham, MA
| | - Hugh Russell
- Translational Medicine, Oncology R&D, AstraZeneca, Waltham, MA
| | - David Shera
- Oncology Biometrics, AstraZeneca, Gaithersburg, MD
| | - Chris Abbosh
- Cancer Biomarker Development, Oncology R&D, AstraZeneca, Cambridge, United Kingdom
| | - Brian Dougherty
- Translational Medicine, Oncology R&D, AstraZeneca, Waltham, MA
| | - J Carl Barrett
- Translational Medicine, Oncology R&D, AstraZeneca, Waltham, MA
| | - Darren Hodgson
- Cancer Biomarker Development, Oncology R&D, AstraZeneca, Cambridge, United Kingdom
| | - James Hadfield
- Translational Medicine, Oncology R&D, AstraZeneca, Cambridge, United Kingdom
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20
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Bahrambeigi V, Lee JJ, Branchi V, Rajapakshe KI, Xu Z, Kui N, Henry JT, Kun W, Stephens BM, Dhebat S, Hurd MW, Sun R, Yang P, Ruppin E, Wang W, Kopetz S, Maitra A, Guerrero PA. Transcriptomic Profiling of Plasma Extracellular Vesicles Enables Reliable Annotation of the Cancer-Specific Transcriptome and Molecular Subtype. Cancer Res 2024; 84:1719-1732. [PMID: 38451249 PMCID: PMC11096054 DOI: 10.1158/0008-5472.can-23-4070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/29/2024] [Accepted: 02/29/2024] [Indexed: 03/08/2024]
Abstract
Longitudinal monitoring of patients with advanced cancers is crucial to evaluate both disease burden and treatment response. Current liquid biopsy approaches mostly rely on the detection of DNA-based biomarkers. However, plasma RNA analysis can unleash tremendous opportunities for tumor state interrogation and molecular subtyping. Through the application of deep learning algorithms to the deconvolved transcriptomes of RNA within plasma extracellular vesicles (evRNA), we successfully predicted consensus molecular subtypes in patients with metastatic colorectal cancer. Analysis of plasma evRNA also enabled monitoring of changes in transcriptomic subtype under treatment selection pressure and identification of molecular pathways associated with recurrence. This approach also revealed expressed gene fusions and neoepitopes from evRNA. These results demonstrate the feasibility of using transcriptomic-based liquid biopsy platforms for precision oncology approaches, spanning from the longitudinal monitoring of tumor subtype changes to the identification of expressed fusions and neoantigens as cancer-specific therapeutic targets, sans the need for tissue-based sampling. SIGNIFICANCE The development of an approach to interrogate molecular subtypes, cancer-associated pathways, and differentially expressed genes through RNA sequencing of plasma extracellular vesicles lays the foundation for liquid biopsy-based longitudinal monitoring of patient tumor transcriptomes.
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Affiliation(s)
- Vahid Bahrambeigi
- Sheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jaewon J. Lee
- Sheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Vittorio Branchi
- Sheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kimal I. Rajapakshe
- Sheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Zhichao Xu
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Naishu Kui
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jason T. Henry
- Department of GI Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wang Kun
- Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Bret M. Stephens
- Sheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sarah Dhebat
- Sheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mark W. Hurd
- Sheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ryan Sun
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Peng Yang
- Department Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Statistics Rice University, Houston, TX, USA
| | - Eytan Ruppin
- Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Wenyi Wang
- Department Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Scott Kopetz
- Department of GI Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anirban Maitra
- Sheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Paola A. Guerrero
- Sheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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21
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Alba-Bernal A, Godoy-Ortiz A, Domínguez-Recio ME, López-López E, Quirós-Ortega ME, Sánchez-Martín V, Roldán-Díaz MD, Jiménez-Rodríguez B, Peralta-Linero J, Bellagarza-García E, Troyano-Ramos L, Garrido-Ruiz G, Hierro-Martín MI, Vicioso L, González-Ortiz Á, Linares-Valencia N, Velasco-Suelto J, Carbajosa G, Garrido-Aranda A, Lavado-Valenzuela R, Álvarez M, Pascual J, Comino-Méndez I, Alba E. Increased blood draws for ultrasensitive ctDNA and CTCs detection in early breast cancer patients. NPJ Breast Cancer 2024; 10:36. [PMID: 38750090 PMCID: PMC11096188 DOI: 10.1038/s41523-024-00642-6] [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: 11/04/2023] [Accepted: 05/01/2024] [Indexed: 05/18/2024] Open
Abstract
Early breast cancer patients often experience relapse due to residual disease after treatment. Liquid biopsy is a methodology capable of detecting tumor components in blood, but low concentrations at early stages pose challenges. To detect them, next-generation sequencing has promise but entails complex processes. Exploring larger blood volumes could overcome detection limitations. Herein, a total of 282 high-volume plasma and blood-cell samples were collected for dual ctDNA/CTCs detection using a single droplet-digital PCR assay per patient. ctDNA and/or CTCs were detected in 100% of pre-treatment samples. On the other hand, post-treatment positive samples exhibited a minimum variant allele frequency of 0.003% for ctDNA and minimum cell number of 0.069 CTCs/mL of blood, surpassing previous investigations. Accurate prediction of residual disease before surgery was achieved in patients without a complete pathological response. A model utilizing ctDNA dynamics achieved an area under the ROC curve of 0.92 for predicting response. We detected disease recurrence in blood in the three patients who experienced a relapse, anticipating clinical relapse by 34.61, 9.10, and 7.59 months. This methodology provides an easily implemented alternative for ultrasensitive residual disease detection in early breast cancer patients.
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Affiliation(s)
- Alfonso Alba-Bernal
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
- The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), 29010, Malaga, Spain
- Andalusia-Roche Network in Precision Medical Oncology, 41092, Sevilla, Spain
| | - Ana Godoy-Ortiz
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
- The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), 29010, Malaga, Spain
- Centro de Investigacion Biomedica en Red de Cancer (CIBERONC - CB16/12/00481), 28029, Madrid, Spain
| | - María Emilia Domínguez-Recio
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
- The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), 29010, Malaga, Spain
| | - Esperanza López-López
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
- The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), 29010, Malaga, Spain
| | - María Elena Quirós-Ortega
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
- The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), 29010, Malaga, Spain
- Andalusia-Roche Network in Precision Medical Oncology, 41092, Sevilla, Spain
| | - Victoria Sánchez-Martín
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
- Centro de Investigacion Biomedica en Red de Cancer (CIBERONC - CB16/12/00481), 28029, Madrid, Spain
| | - María Dunia Roldán-Díaz
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
- The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), 29010, Malaga, Spain
| | - Begoña Jiménez-Rodríguez
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
- The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), 29010, Malaga, Spain
- Centro de Investigacion Biomedica en Red de Cancer (CIBERONC - CB16/12/00481), 28029, Madrid, Spain
| | - Jesús Peralta-Linero
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
- The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), 29010, Malaga, Spain
| | - Estefanía Bellagarza-García
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
| | - Laura Troyano-Ramos
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
| | - Guadalupe Garrido-Ruiz
- Radiology Department, Hospital Clinico Universitario Virgen de la Victoria de Malaga, 29010, Malaga, Spain
| | - M Isabel Hierro-Martín
- The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), 29010, Malaga, Spain
- Unidad de Gestion Clinica Provincial de Anatomia Patologica de Malaga, Hospital Clinico Universitario Virgen de la Victoria de Malaga, 29010, Malaga, Spain
- University of Málaga, Faculty of Medicine, 29010, Malaga, Spain
| | - Luis Vicioso
- The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), 29010, Malaga, Spain
- Unidad de Gestion Clinica Provincial de Anatomia Patologica de Malaga, Hospital Clinico Universitario Virgen de la Victoria de Malaga, 29010, Malaga, Spain
- University of Málaga, Faculty of Medicine, 29010, Malaga, Spain
| | - Álvaro González-Ortiz
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
| | - Noelia Linares-Valencia
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
- The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), 29010, Malaga, Spain
| | - Jesús Velasco-Suelto
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
- The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), 29010, Malaga, Spain
| | - Guillermo Carbajosa
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
- University of Málaga, Faculty of Medicine, 29010, Malaga, Spain
| | - Alicia Garrido-Aranda
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
- The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), 29010, Malaga, Spain
- Andalusia-Roche Network in Precision Medical Oncology, 41092, Sevilla, Spain
- Laboratorio de biologia molecular del cancer (LBMC), Centro de investigaciones medico-sanitarias (CIMES-UMA), 29010, Malaga, Spain
| | - Rocío Lavado-Valenzuela
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
- The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), 29010, Malaga, Spain
- Andalusia-Roche Network in Precision Medical Oncology, 41092, Sevilla, Spain
- Centro de Investigacion Biomedica en Red de Cancer (CIBERONC - CB16/12/00481), 28029, Madrid, Spain
- Laboratorio de biologia molecular del cancer (LBMC), Centro de investigaciones medico-sanitarias (CIMES-UMA), 29010, Malaga, Spain
| | - Martina Álvarez
- The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), 29010, Malaga, Spain
- Andalusia-Roche Network in Precision Medical Oncology, 41092, Sevilla, Spain
- Centro de Investigacion Biomedica en Red de Cancer (CIBERONC - CB16/12/00481), 28029, Madrid, Spain
- University of Málaga, Faculty of Medicine, 29010, Malaga, Spain
- Laboratorio de biologia molecular del cancer (LBMC), Centro de investigaciones medico-sanitarias (CIMES-UMA), 29010, Malaga, Spain
| | - Javier Pascual
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
- The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), 29010, Malaga, Spain
- Andalusia-Roche Network in Precision Medical Oncology, 41092, Sevilla, Spain
- Centro de Investigacion Biomedica en Red de Cancer (CIBERONC - CB16/12/00481), 28029, Madrid, Spain
| | - Iñaki Comino-Méndez
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain.
- The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), 29010, Malaga, Spain.
- Andalusia-Roche Network in Precision Medical Oncology, 41092, Sevilla, Spain.
- Centro de Investigacion Biomedica en Red de Cancer (CIBERONC - CB16/12/00481), 28029, Madrid, Spain.
| | - Emilio Alba
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010, Malaga, Spain
- The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), 29010, Malaga, Spain
- Andalusia-Roche Network in Precision Medical Oncology, 41092, Sevilla, Spain
- Centro de Investigacion Biomedica en Red de Cancer (CIBERONC - CB16/12/00481), 28029, Madrid, Spain
- University of Málaga, Faculty of Medicine, 29010, Malaga, Spain
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22
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Augustin RC, Luke JJ. Rapidly Evolving Pre- and Post-surgical Systemic Treatment of Melanoma. Am J Clin Dermatol 2024; 25:421-434. [PMID: 38409643 DOI: 10.1007/s40257-024-00852-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/07/2024] [Indexed: 02/28/2024]
Abstract
With the development of effective BRAF-targeted and immune-checkpoint immunotherapies for metastatic melanoma, clinical trials are moving these treatments into earlier adjuvant and perioperative settings. BRAF-targeted therapy is a standard of care in resected stage III-IV melanoma, while anti-programmed death-1 (PD1) immunotherapy is now a standard of care option in resected stage IIB through IV disease. With both modalities, recurrence-free survival and distant-metastasis-free survival are improved by a relative 35-50%, yet no improvement in overall survival has been demonstrated. Neoadjuvant anti-PD1 therapy improves event-free survival by approximately an absolute 23%, although improvements in overall survival have yet to be demonstrated. Understanding which patients are most likely to recur and which are most likely to benefit from treatment is now the highest priority question in the field. Biomarker analyses, such as gene expression profiling of the primary lesion and circulating DNA, are preliminarily exciting as potential biomarkers, though each has drawbacks. As in the setting of metastatic disease, markers that inform positive outcomes include interferon-γ gene expression, PD-L1, and high tumor mutational burden, while negative predictors of outcome include circulating factors such as lactate dehydrogenase, interleukin-8, and C-reactive protein. Integrating and validating these markers into clinically relevant models is thus a high priority. Melanoma therapeutics continues to advance with combination adjuvant approaches now investigating anti-PD1 with lymphocyte activation gene 3 (LAG3), T-cell immunoreceptor with Ig and ITIM domains (TIGIT), and individualized neoantigen therapies. How this progress will be integrated into the management of a unique patient to reduce recurrence, limit toxicity, and avoid over-treatment will dominate clinical research and patient care over the next decade.
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Affiliation(s)
- Ryan C Augustin
- UPMC Hillman Cancer Center, 5150 Centre Ave. Room 1.27C, Pittsburgh, PA, 15232, USA
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Division of Medical Oncology, Mayo Clinic, Rochester, MN, USA
| | - Jason J Luke
- UPMC Hillman Cancer Center, 5150 Centre Ave. Room 1.27C, Pittsburgh, PA, 15232, USA.
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
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23
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Hashimoto T, Nakamura Y, Oki E, Kobayashi S, Yuda J, Shibuki T, Bando H, Yoshino T. Bridging horizons beyond CIRCULATE-Japan: a new paradigm in molecular residual disease detection via whole genome sequencing-based circulating tumor DNA assay. Int J Clin Oncol 2024; 29:495-511. [PMID: 38551727 PMCID: PMC11043144 DOI: 10.1007/s10147-024-02493-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Accepted: 02/16/2024] [Indexed: 04/26/2024]
Abstract
Circulating tumor DNA (ctDNA) is the fraction of cell-free DNA in patient blood that originates from a tumor. Advances in DNA sequencing technologies and our understanding of the molecular biology of tumors have increased interest in exploiting ctDNA to facilitate detection of molecular residual disease (MRD). Analysis of ctDNA as a promising MRD biomarker of solid malignancies has a central role in precision medicine initiatives exemplified by our CIRCULATE-Japan project involving patients with resectable colorectal cancer. Notably, the project underscores the prognostic significance of the ctDNA status at 4 weeks post-surgery and its correlation to adjuvant therapy efficacy at interim analysis. This substantiates the hypothesis that MRD is a critical prognostic indicator of relapse in patients with colorectal cancer. Despite remarkable advancements, challenges endure, primarily attributable to the exceedingly low ctDNA concentration in peripheral blood, particularly in scenarios involving low tumor shedding and the intrinsic error rates of current sequencing technologies. These complications necessitate more sensitive and sophisticated assays to verify the clinical utility of MRD across all solid tumors. Whole genome sequencing (WGS)-based tumor-informed MRD assays have recently demonstrated the ability to detect ctDNA in the parts-per-million range. This review delineates the current landscape of MRD assays, highlighting WGS-based approaches as the forefront technique in ctDNA analysis. Additionally, it introduces our upcoming endeavor, WGS-based pan-cancer MRD detection via ctDNA, in our forthcoming project, SCRUM-Japan MONSTAR-SCREEN-3.
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Affiliation(s)
- Tadayoshi Hashimoto
- Translational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan
- Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Yoshiaki Nakamura
- Translational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan
- Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Eiji Oki
- Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Shin Kobayashi
- Department of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital East, Kashiwa, Japan
| | - Junichiro Yuda
- Department of Hematology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Taro Shibuki
- Translational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan
| | - Hideaki Bando
- Translational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan
- Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Takayuki Yoshino
- Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
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24
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Zheng J, Qin C, Wang Q, Tian D, Chen Z. Circulating tumour DNA-Based molecular residual disease detection in resectable cancers: a systematic review and meta-analysis. EBioMedicine 2024; 103:105109. [PMID: 38614009 PMCID: PMC11021841 DOI: 10.1016/j.ebiom.2024.105109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 03/21/2024] [Accepted: 03/24/2024] [Indexed: 04/15/2024] Open
Abstract
BACKGROUND Circulating tumour DNA (ctDNA)-based molecular residual disease (MRD) detection technology has been widely used for recurrence evaluation, but there is no agreement on the efficacy of assessing recurrence and overall survival (OS) prognosis, as well as the sensitivity and specificity of landmark detection and longitudinal detection. METHODS We systematically searched Pubmed, Embase, Cochrane, and Scopus for prospective studies or randomized controlled trials that collected blood samples prospectively. The search period was from Jan 1, 2013, to Sept 10, 2023. We excluded retrospective studies. The primary endpoint was to assess the hazard ratio (HR) between circulating tumour DNA positive (ctDNA+) and negative (ctDNA-) for recurrence-free survival incidence (RFS), disease-free survival (DFS), progression-free survival (PFS), event-free survival (EFS), time to recurrence (TTR), distant metastasis-free survival (DMFS) or OS in patients with resectable cancers. We calculated the pooled HR of recurrence and OS and 95% confidence interval (CI) in patients with resected cancers using a random-effects model. Pooled sensitivity and specificity were estimated using the bivariate random effects model. FINDINGS This systematic review and meta-analysis returned 7578 records, yielding 80 included studies after exclusion. We found that the HR of recurrence across all included cancers between patients with ctDNA+ and ctDNA- was 7.48 (95% CI 6.39-8.77), and the OS was 5.58 (95% CI 4.17-7.48). We also found that the sensitivity, area under the summary receiver operating characteristic curve (AUSROC) and diagnostic odds ratio (DOR) of longitudinal tests were higher than that of landmark tests between patients with ctDNA+ and ctDNA- (0.74, 95% CI 0.68-0.80 vs 0.50, 95% CI 0.46-0.55; 0.88 vs. 0.80; 25.70, 95% CI 13.20-45.40 vs. 9.90, 95% CI 7.77-12.40). INTERPRETATION Postoperative ctDNA testing was a significant prognosis factor for recurrence and OS in patients with resectable cancers. However, the overall sensitivity of ctDNA-MRD detection could be better. Longitudinal monitoring can improve the sensitivity, AUSROC, and DOR. FUNDING Special fund project for clinical research of Qingyuan People's Hospital (QYRYCRC2023006), plan on enhancing scientific research in GMU (GZMU-SH-301).
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Affiliation(s)
- Jiachun Zheng
- Department of Respiratory and Critical Care Medicine, Affiliated Qingyuan Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, China
| | - Chuling Qin
- Guangzhou Medical University, Guangzhou, 511436, China
| | - Qianxi Wang
- Guangzhou Medical University, Guangzhou, 511436, China
| | - Dongbo Tian
- Department of Respiratory and Critical Care Medicine, Affiliated Qingyuan Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, China.
| | - Zisheng Chen
- Department of Respiratory and Critical Care Medicine, Affiliated Qingyuan Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, China.
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25
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Lee JS, Cho EH, Kim B, Hong J, Kim YG, Kim Y, Jang JH, Lee ST, Kong SY, Lee W, Shin S, Song EY. Clinical Practice Guideline for Blood-based Circulating Tumor DNA Assays. Ann Lab Med 2024; 44:195-209. [PMID: 38221747 PMCID: PMC10813828 DOI: 10.3343/alm.2023.0389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 12/06/2023] [Accepted: 01/06/2024] [Indexed: 01/16/2024] Open
Abstract
Circulating tumor DNA (ctDNA) has emerged as a promising tool for various clinical applications, including early diagnosis, therapeutic target identification, treatment response monitoring, prognosis evaluation, and minimal residual disease detection. Consequently, ctDNA assays have been incorporated into clinical practice. In this review, we offer an in-depth exploration of the clinical implementation of ctDNA assays. Notably, we examined existing evidence related to pre-analytical procedures, analytical components in current technologies, and result interpretation and reporting processes. The primary objective of this guidelines is to provide recommendations for the clinical utilization of ctDNA assays.
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Affiliation(s)
- Jee-Soo Lee
- Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Eun Hye Cho
- Department of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Boram Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | | | - Young-gon Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yoonjung Kim
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Ja-Hyun Jang
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seung-Tae Lee
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
- Dxome Co. Ltd., Seongnam, Korea
| | - Sun-Young Kong
- Department of Laboratory Medicine, National Cancer Center, Goyang, Korea
| | - Woochang Lee
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Saeam Shin
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Eun Young Song
- Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
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26
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Geng S, Guo P, Wang J, Zhang Y, Shi Y, Li X, Cao M, Song Y, Zhang H, Zhang Z, Zhang K, Song H, Shi J, Liu J. Ultrasensitive Optical Detection and Elimination of Residual Microtumors with a Postoperative Implantable Hydrogel Sensor for Preventing Cancer Recurrence. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2307923. [PMID: 38174840 DOI: 10.1002/adma.202307923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 12/16/2023] [Indexed: 01/05/2024]
Abstract
In vivo optical imaging of trace biomarkers in residual microtumors holds significant promise for cancer prognosis but poses a formidable challenge. Here, a novel hydrogel sensor is designed for ultrasensitive and specific imaging of the elusive biomarker. This hydrogel sensor seamlessly integrates a molecular beacon nanoprobe with fibroblasts, offering both high tissue retention capability and an impressive signal-to-noise ratio for imaging. Signal amplification is accomplished through exonuclease I-mediated biomarker recycling. The resulting hydrogel sensor sensitively detects the biomarker carcinoembryonic antigen with a detection limit of 1.8 pg mL-1 in test tubes. Moreover, it successfully identifies residual cancer nodules with a median diameter of less than 2 mm in mice bearing partially removed primary triple-negative breast carcinomas (4T1). Notably, this hydrogel sensor is proven effective for the sensitive diagnosis of invasive tumors in post-surgical mice with infiltrating 4T1 cells, leveraging the role of fibroblasts in locally enriching tumor cells. Furthermore, the residual microtumor is rapidly photothermal ablation by polydopamine-based nanoprobe under the guidance of visualization, achieving ≈100% suppression of tumor recurrence and lung metastasis. This work offers a promising alternative strategy for visually detecting residual microtumors, potentially enhancing the prognosis of cancer patients following surgical interventions.
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Affiliation(s)
- Shizhen Geng
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Pengke Guo
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Jing Wang
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Yunya Zhang
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Yaru Shi
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Xinling Li
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Mengnian Cao
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Yutong Song
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Hongling Zhang
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
- Key Laboratory of Targeting Therapy and Diagnosis for Critical Diseases, Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education, Zhengzhou, 450001, China
| | - Zhenzhong Zhang
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
- Key Laboratory of Targeting Therapy and Diagnosis for Critical Diseases, Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education, Zhengzhou, 450001, China
| | - Kaixiang Zhang
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
- Key Laboratory of Targeting Therapy and Diagnosis for Critical Diseases, Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education, Zhengzhou, 450001, China
| | - Haiwei Song
- Department of Biochemistry, National University of Singapore, SingaporeCity, 138673, Singapore
| | - Jinjin Shi
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
- Key Laboratory of Targeting Therapy and Diagnosis for Critical Diseases, Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education, Zhengzhou, 450001, China
| | - Junjie Liu
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
- Key Laboratory of Targeting Therapy and Diagnosis for Critical Diseases, Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education, Zhengzhou, 450001, China
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27
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Earland N, Semenkovich NP, Ramirez RJ, Gerndt SP, Harris PK, Gu Z, Hearn AI, Inkman M, Szymanski JJ, Whitfield D, Wahle BM, Xu Z, Chen K, Alahi I, Ni G, Chen A, Winckler W, Zhang J, Chaudhuri AA, Zevallos JP. Sensitive MRD Detection from Lymphatic Fluid after Surgery in HPV-Associated Oropharyngeal Cancer. Clin Cancer Res 2024; 30:1409-1421. [PMID: 37939112 PMCID: PMC10982646 DOI: 10.1158/1078-0432.ccr-23-1789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 10/30/2023] [Accepted: 11/03/2023] [Indexed: 11/10/2023]
Abstract
PURPOSE Our goal was to demonstrate that lymphatic drainage fluid (lymph) has improved sensitivity in quantifying postoperative minimal residual disease (MRD) in locally advanced human papillomavirus (HPV)-associated oropharyngeal squamous cell carcinoma (OPSCC) compared with plasma, and leverage this novel biofluid for patient risk stratification. EXPERIMENTAL DESIGN We prospectively collected lymph samples from neck drains of 106 patients with HPV (+) OPSCC, along with 67 matched plasma samples, 24 hours after surgery. PCR and next-generation sequencing were used to quantify cancer-associated cell-free HPV (cf-HPV) and tumor-informed variants in lymph and plasma. Next, lymph cf-HPV and variants were compared with TNM stage, extranodal extension (ENE), and composite definitions of high-risk pathology. We then created a machine learning model, informed by lymph MRD and clinicopathologic features, to compare with progression-free survival (PFS). RESULTS Postoperative lymph was enriched with cf-HPV compared with plasma (P < 0.0001) and correlated with pN2 stage (P = 0.003), ENE (P < 0.0001), and trial-defined pathologic risk criteria (mean AUC = 0.78). In addition, the lymph mutation number and variant allele frequency were higher in pN2 ENE (+) necks than in pN1 ENE (+) (P = 0.03, P = 0.02) or pN0-N1 ENE (-) (P = 0.04, P = 0.03, respectively). The lymph MRD-informed risk model demonstrated inferior PFS in high-risk patients (AUC = 0.96, P < 0.0001). CONCLUSIONS Variant and cf-HPV quantification, performed in 24-hour postoperative lymph samples, reflects single- and multifeature high-risk pathologic criteria. Incorporating lymphatic MRD and clinicopathologic feature analysis can stratify PFS early after surgery in patients with HPV (+) head and neck cancer. See related commentary by Shannon and Iyer, p. 1223.
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Affiliation(s)
- Noah Earland
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri
- Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, Missouri
| | - Nicholas P. Semenkovich
- Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, Missouri
- Division of Endocrinology, Metabolism, and Lipid Research, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Ricardo J. Ramirez
- Department of Otolaryngology-Head and Neck Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Sophie P. Gerndt
- Division of Otolaryngology-Head and Neck Surgery, Allegheny Health Network, Pittsburgh, Pennsylvania
| | - Peter K. Harris
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri
| | - Zhuosheng Gu
- Droplet Biosciences, Inc., Cambridge, Massachusetts
| | - Andrew I. Hearn
- Department of Otolaryngology-Head and Neck Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Matthew Inkman
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri
| | - Jeffrey J. Szymanski
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri
| | | | - Benjamin M. Wahle
- Department of Otolaryngology-Head and Neck Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Zhongping Xu
- Department of Otolaryngology-Head and Neck Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Kevin Chen
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri
| | - Irfan Alahi
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri
- Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, Missouri
| | - Gabris Ni
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri
| | - Andrew Chen
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri
| | | | - Jin Zhang
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri
- Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - Aadel A. Chaudhuri
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri
- Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, Missouri
- Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri
| | - Jose P. Zevallos
- Department of Otolaryngology-Head and Neck Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
- Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
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Ren F, Fei Q, Qiu K, Zhang Y, Zhang H, Sun L. Liquid biopsy techniques and lung cancer: diagnosis, monitoring and evaluation. J Exp Clin Cancer Res 2024; 43:96. [PMID: 38561776 PMCID: PMC10985944 DOI: 10.1186/s13046-024-03026-7] [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: 01/12/2024] [Accepted: 03/24/2024] [Indexed: 04/04/2024] Open
Abstract
Lung cancer stands as the most prevalent form of cancer globally, posing a significant threat to human well-being. Due to the lack of effective and accurate early diagnostic methods, many patients are diagnosed with advanced lung cancer. Although surgical resection is still a potential means of eradicating lung cancer, patients with advanced lung cancer usually miss the best chance for surgical treatment, and even after surgical resection patients may still experience tumor recurrence. Additionally, chemotherapy, the mainstay of treatment for patients with advanced lung cancer, has the potential to be chemo-resistant, resulting in poor clinical outcomes. The emergence of liquid biopsies has garnered considerable attention owing to their noninvasive nature and the ability for continuous sampling. Technological advancements have propelled circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), extracellular vesicles (EVs), tumor metabolites, tumor-educated platelets (TEPs), and tumor-associated antigens (TAA) to the forefront as key liquid biopsy biomarkers, demonstrating intriguing and encouraging results for early diagnosis and prognostic evaluation of lung cancer. This review provides an overview of molecular biomarkers and assays utilized in liquid biopsies for lung cancer, encompassing CTCs, ctDNA, non-coding RNA (ncRNA), EVs, tumor metabolites, TAAs and TEPs. Furthermore, we expound on the practical applications of liquid biopsies, including early diagnosis, treatment response monitoring, prognostic evaluation, and recurrence monitoring in the context of lung cancer.
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Affiliation(s)
- Fei Ren
- Department of Geriatrics, The First Hospital of China Medical University, Shen Yang, 110000, China
| | - Qian Fei
- Department of Oncology, Shengjing Hospital of China Medical University, Shen Yang, 110000, China
| | - Kun Qiu
- Thoracic Surgery, The First Hospital of China Medical University, Shen Yang, 110000, China
| | - Yuanjie Zhang
- Thoracic Surgery, The First Hospital of China Medical University, Shen Yang, 110000, China
| | - Heyang Zhang
- Department of Hematology, The First Hospital of China Medical University, Shen Yang, 110000, China.
| | - Lei Sun
- Thoracic Surgery, The First Hospital of China Medical University, Shen Yang, 110000, China.
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Sanz-Garcia E, Zou J, Avery L, Spreafico A, Waldron J, Goldstein D, Hansen A, Cho BCJ, de Almeida J, Hope A, Hosni A, Hahn E, Perez-Ordonez B, Zhao Z, Smith C, Zheng Y, Singaravelan N, Bratman SV, Siu LL. Multimodal detection of molecular residual disease in high-risk locally advanced squamous cell carcinoma of the head and neck. Cell Death Differ 2024; 31:460-468. [PMID: 38409276 PMCID: PMC11043441 DOI: 10.1038/s41418-024-01272-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 02/11/2024] [Accepted: 02/14/2024] [Indexed: 02/28/2024] Open
Abstract
Up to 30% of patients with locally advanced head and neck squamous cell carcinoma (LA-HNSCC) relapse. Molecular residual disease (MRD) detection using multiple assays after definitive therapy has not been reported. In this study, we included patients with LA-HNSCC (stage III Human Papilloma virus (HPV)-positive, III-IVB HPV-negative) treated with curative intent. Plasma was collected pre-treatment, at 4-6 weeks (FU1) and 8-12 weeks (FU2) post-treatment. Circulating tumor DNA (ctDNA) was analyzed using a tumor-informed (RaDaR®) and a tumor-naïve (CAPP-seq) assay. HPV DNA was measured using HPV-sequencing (HPV-seq) and digital PCR (dPCR). A total of 86 plasma samples from 32 patients were analyzed; all patients with at least 1 follow-up sample. Most patients were stage III HPV-positive (50%) and received chemoradiation (78%). No patients had radiological residual disease at FU2. With a median follow-up of 25 months, there were 7 clinical relapses. ctDNA at baseline was detected in 15/17 (88%) by RaDaR and was not associated with recurrence free survival (RFS). Two patients relapsed within a year after definitive therapy and showed MRD at FU2 using RaDaR; detection of ctDNA during follow-up was associated with shorter RFS (p < 0.001). ctDNA detection by CAPP-seq pre-treatment and during follow-up was not associated with RFS (p = 0.09). HPV DNA using HPV-seq or dPCR during follow-up was associated with shorter RFS (p < 0.001). Sensitivity and specificity for MRD at FU2 using RaDaR was 40% and 100% versus 20 and 90.5% using CAPP-seq. Sensitivity and specificity for MRD during follow-up using HPV-seq was 100% and 91.7% versus 50% and 100% using dPCR. In conclusion, HPV DNA and ctDNA can be detected in LA-HNSCC before definitive therapy. The RaDaR assay but not CAPP-seq may detect MRD in patients who relapse within 1 year. HPV-seq may be more sensitive than dPCR for MRD detection.
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Affiliation(s)
- Enrique Sanz-Garcia
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Jinfeng Zou
- Princess Margaret Cancer Research Institute, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Lisa Avery
- Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Anna Spreafico
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - John Waldron
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - David Goldstein
- Department of Surgical Oncology, Division of ENT, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Aaron Hansen
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - B C John Cho
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - John de Almeida
- Department of Surgical Oncology, Division of ENT, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Andrew Hope
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Ali Hosni
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Ezra Hahn
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Bayardo Perez-Ordonez
- Department of Pathology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Zhen Zhao
- Princess Margaret Cancer Research Institute, University Health Network, University of Toronto, Toronto, ON, Canada
| | | | - Yangqiao Zheng
- Princess Margaret Cancer Research Institute, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Nitthusha Singaravelan
- Cancer Genomics Program, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Scott V Bratman
- Princess Margaret Cancer Research Institute, University Health Network, University of Toronto, Toronto, ON, Canada
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Lillian L Siu
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada.
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30
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Ewongwo A, Hui C, Moding EJ. Opportunity in Complexity: Harnessing Molecular Biomarkers and Liquid Biopsies for Personalized Sarcoma Care. Semin Radiat Oncol 2024; 34:195-206. [PMID: 38508784 DOI: 10.1016/j.semradonc.2023.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
Due to their rarity and complexity, sarcomas represent a substantial therapeutic challenge. However, the incredible diversity within and across sarcoma subtypes presents an opportunity for personalized care to maximize efficacy and limit toxicity. A deeper understanding of the molecular alterations that drive sarcoma development and treatment response has paved the way for molecular biomarkers to shape sarcoma treatment. Genetic, transcriptomic, and protein biomarkers have become critical tools for diagnosis, prognostication, and treatment selection in patients with sarcomas. In the future, emerging biomarkers like circulating tumor DNA analysis offer the potential to improve early detection, monitoring response to treatment, and identifying mechanisms of resistance to personalize sarcoma treatment. Here, we review the current state of molecular biomarkers for sarcomas and highlight opportunities and challenges for the implementation of new technologies in the future.
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Affiliation(s)
- Agnes Ewongwo
- Department of Radiation Oncology, Stanford University, Stanford, CA
| | - Caressa Hui
- Department of Radiation Oncology, Stanford University, Stanford, CA
| | - Everett J Moding
- Department of Radiation Oncology, Stanford University, Stanford, CA.; Stanford Cancer Institute, Stanford University, Stanford, CA..
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31
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Passaro A, Al Bakir M, Hamilton EG, Diehn M, André F, Roy-Chowdhuri S, Mountzios G, Wistuba II, Swanton C, Peters S. Cancer biomarkers: Emerging trends and clinical implications for personalized treatment. Cell 2024; 187:1617-1635. [PMID: 38552610 PMCID: PMC7616034 DOI: 10.1016/j.cell.2024.02.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/21/2024] [Accepted: 02/28/2024] [Indexed: 04/02/2024]
Abstract
The integration of cancer biomarkers into oncology has revolutionized cancer treatment, yielding remarkable advancements in cancer therapeutics and the prognosis of cancer patients. The development of personalized medicine represents a turning point and a new paradigm in cancer management, as biomarkers enable oncologists to tailor treatments based on the unique molecular profile of each patient's tumor. In this review, we discuss the scientific milestones of cancer biomarkers and explore future possibilities to improve the management of patients with solid tumors. This progress is primarily attributed to the biological characterization of cancers, advancements in testing methodologies, elucidation of the immune microenvironment, and the ability to profile circulating tumor fractions. Integrating these insights promises to continually advance the precision oncology field, fostering better patient outcomes.
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Affiliation(s)
- Antonio Passaro
- Division of Thoracic Oncology, European Institute of Oncology IRCCS, Milan, Italy
| | - Maise Al Bakir
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Emily G Hamilton
- Department of Radiation Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Maximilian Diehn
- Department of Radiation Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Fabrice André
- Gustave-Roussy Cancer Center, Paris Saclay University, Villejuif, France
| | - Sinchita Roy-Chowdhuri
- Department of Anatomic Pathology and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Giannis Mountzios
- Fourth Department of Medical Oncology and Clinical Trials Unit, Henry Dunant Hospital Center, Athens, Greece
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Charles Swanton
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Department of Oncology, University College London Hospitals, London, UK
| | - Solange Peters
- Department of Oncology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.
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Northcott J, Bartha G, Harris J, Li C, Navarro FC, Pyke RM, Hong M, Zhang Q, Ma S, Chen TX, Lai J, Udar N, Saldivar JS, Ayash E, Anderson J, Li J, Cui T, Le T, Chow R, Velasco RJ, Mallo C, Santiago R, Bruce RC, Goodman LJ, Chen Y, Norton D, Chen RO, Lyle JM. Analytical validation of NeXT Personal®, an ultra-sensitive personalized circulating tumor DNA assay. Oncotarget 2024; 15:200-218. [PMID: 38484152 PMCID: PMC10939476 DOI: 10.18632/oncotarget.28565] [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: 12/11/2023] [Accepted: 02/12/2024] [Indexed: 03/17/2024] Open
Abstract
We describe the analytical validation of NeXT Personal®, an ultra-sensitive, tumor-informed circulating tumor DNA (ctDNA) assay for detecting residual disease, monitoring therapy response, and detecting recurrence in patients diagnosed with solid tumor cancers. NeXT Personal uses whole genome sequencing of tumor and matched normal samples combined with advanced analytics to accurately identify up to ~1,800 somatic variants specific to the patient's tumor. A personalized panel is created, targeting these variants and then used to sequence cell-free DNA extracted from patient plasma samples for ultra-sensitive detection of ctDNA. The NeXT Personal analytical validation is based on panels designed from tumor and matched normal samples from two cell lines, and from 123 patients across nine cancer types. Analytical measurements demonstrated a detection threshold of 1.67 parts per million (PPM) with a limit of detection at 95% (LOD95) of 3.45 PPM. NeXT Personal showed linearity over a range of 0.8 to 300,000 PPM (Pearson correlation coefficient = 0.9998). Precision varied from a coefficient of variation of 12.8% to 3.6% over a range of 25 to 25,000 PPM. The assay targets 99.9% specificity, with this validation study measuring 100% specificity and in silico methods giving us a confidence interval of 99.92 to 100%. In summary, this study demonstrates NeXT Personal as an ultra-sensitive, highly quantitative and robust ctDNA assay that can be used to detect residual disease, monitor treatment response, and detect recurrence in patients.
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Affiliation(s)
| | | | | | - Conan Li
- Personalis, Inc., Fremont, CA 94555, USA
| | | | | | | | - Qi Zhang
- Personalis, Inc., Fremont, CA 94555, USA
| | - Shuyuan Ma
- Personalis, Inc., Fremont, CA 94555, USA
| | | | - Janet Lai
- Personalis, Inc., Fremont, CA 94555, USA
| | - Nitin Udar
- Personalis, Inc., Fremont, CA 94555, USA
| | | | - Erin Ayash
- Personalis, Inc., Fremont, CA 94555, USA
| | | | - Jiang Li
- Personalis, Inc., Fremont, CA 94555, USA
| | - Tiange Cui
- Personalis, Inc., Fremont, CA 94555, USA
| | - Tu Le
- Personalis, Inc., Fremont, CA 94555, USA
| | | | | | | | | | | | | | - Yi Chen
- Personalis, Inc., Fremont, CA 94555, USA
| | - Dan Norton
- Personalis, Inc., Fremont, CA 94555, USA
| | | | - John M. Lyle
- Personalis, Inc., Fremont, CA 94555, USA
- Co-last authors
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Sacino AN, Chen H, Sahgal A, Bettegowda C, Rhines LD, Maralani P, Redmond KJ. Stereotactic body radiation therapy for spinal metastases: A new standard of care. Neuro Oncol 2024; 26:S76-S87. [PMID: 38437670 PMCID: PMC10911798 DOI: 10.1093/neuonc/noad225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2024] Open
Abstract
Advancements in systemic therapies for patients with metastatic cancer have improved overall survival and, hence, the number of patients living with spinal metastases. As a result, the need for more versatile and personalized treatments for spinal metastases to optimize long-term pain and local control has become increasingly important. Stereotactic body radiation therapy (SBRT) has been developed to meet this need by providing precise and conformal delivery of ablative high-dose-per-fraction radiation in few fractions while minimizing risk of toxicity. Additionally, advances in minimally invasive surgical techniques have also greatly improved care for patients with epidural disease and/or unstable spines, which may then be combined with SBRT for durable local control. In this review, we highlight the indications and controversies of SBRT along with new surgical techniques for the treatment of spinal metastases.
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Affiliation(s)
- Amanda N Sacino
- Department of Neurosurgery, John Hopkins University, Baltimore, Maryland, USA
| | - Hanbo Chen
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Chetan Bettegowda
- Department of Neurosurgery, John Hopkins University, Baltimore, Maryland, USA
| | - Laurence D Rhines
- Department of Neurosurgery, MD Anderson Cancer Center, Houston, Texas, USA
| | - Pejman Maralani
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Kristin J Redmond
- Department of Radiation and Molecular Oncology, John Hopkins University, Baltimore, Maryland, USA
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Paz-Ares L, Goto Y, Wan-Teck Lim D, Halmos B, Chul Cho B, Cobo M, Luis González Larriba J, Zhou C, Demedts I, Atmaca A, Baka S, Mookerjee B, Portella S, Zhu Z, Wu J, Demanse D, Dharan B, Reck M. Canakinumab in combination with docetaxel compared with docetaxel alone for the treatment of advanced non-small cell lung cancer following platinum-based doublet chemotherapy and immunotherapy (CANOPY-2): A multicenter, randomized, double-blind, phase 3 trial. Lung Cancer 2024; 189:107451. [PMID: 38354535 DOI: 10.1016/j.lungcan.2023.107451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 12/07/2023] [Accepted: 12/22/2023] [Indexed: 02/16/2024]
Abstract
OBJECTIVES Canakinumab, an interleukin-1 beta inhibitor, previously showed reduced lung cancer incidence and mortality (CANTOS). Here, we compare the efficacy/safety of canakinumab versus placebo in patients with advanced non-small cell lung cancer (NSCLC) who had progressed after platinum-based doublet chemotherapy (PDC) and immunotherapy. MATERIALS AND METHODS CANOPY-2, a randomized, double-blind, phase 3 trial, enrolled adult patients with stage IIIB/IV NSCLC, without EGFR or ALK alterations, who had received one prior PDC regimen and one prior programmed death-1/programmed death-ligand 1 inhibitor and experienced subsequent disease progression. Patients were randomized to canakinumab plus docetaxel or placebo plus docetaxel. RESULTS A total of 237 patients were randomly allocated: 120 (51 %) to canakinumab and 117 (49 %) to placebo, stratified by histology and prior lines of therapy. Three patients in the placebo arm did not receive study treatment. The trial did not meet its primary endpoint of overall survival: median 10.6 months (95 % confidence interval [CI], 8.2-12.4) for the canakinumab arm and 11.3 months (95 % CI, 8.5-13.8) for the placebo arm (hazard ratio, 1.06 [95 % CI, 0.76-1.48]; one-sided P-value = 0.633). AEs (any grade) were reported in 95 % of patients in the canakinumab group and in 98 % of patients in the placebo group. Grade 3-4 AEs were experienced by 62 % and 64 % of patients in the canakinumab and placebo groups, respectively, and grade 5 AEs were experienced by 8 % and 5 %. Prespecified, post-hoc subgroup analyses showed that patients with undetected circulating tumor DNA (ctDNA) and/or lower levels (< 10 mg/L) of C-reactive protein (CRP) achieved longer progression-free and overall survival than those with detected ctDNA or higher (≥ 10 mg/L) CRP levels. There was no association with treatment arm. CONCLUSION Adding canakinumab to docetaxel did not provide additional benefit for patients with advanced NSCLC who had progressed after PDC and immunotherapy. CLINICAL REGISTRATION NCT03626545.
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Affiliation(s)
- Luis Paz-Ares
- CNIO-H120 Lung Cancer Unit, University Hospital 12 de Octubre, Universidad Complutense de Madrid and CIBERONC, Madrid, Spain.
| | - Yasushi Goto
- Department of Thoracic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | | | - Balazs Halmos
- Division of Medical Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY, USA
| | - Byoung Chul Cho
- Department of Internal Medicine, Yonsei University Health System, YUCM, Seoul, Republic of Korea
| | - Manuel Cobo
- Unidad de Gestión Clínica Intercentros de Oncología Médica, Regional y Virgen de la Victoria Hospital, IBIMA, Málaga, Spain
| | | | - Caicun Zhou
- Department of Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, PR China
| | - Ingel Demedts
- Department of Pulmonary Diseases, AZ Delta Hospital, Roeselare, Belgium
| | - Akin Atmaca
- Department of Hematology and Oncology, University Cancer Center (UCT), Frankfurt, Germany
| | - Sofia Baka
- Oncology Department, European Interbalkan Medical Center, Thessaloniki, Greece
| | | | | | - Zewen Zhu
- Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA
| | - Jincheng Wu
- Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA
| | | | - Bharani Dharan
- Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA
| | - Martin Reck
- LungenClinic, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Grosshansdorf, Germany
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Guo N, Zhou Q, Chen X, Zeng B, Wu S, Zeng H, Sun F. Circulating tumor DNA as prognostic markers of relapsed breast cancer: a systematic review and meta-analysis. JOURNAL OF THE NATIONAL CANCER CENTER 2024; 4:63-73. [PMID: 39036387 PMCID: PMC11256521 DOI: 10.1016/j.jncc.2024.01.003] [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: 09/26/2023] [Revised: 01/02/2024] [Accepted: 01/16/2024] [Indexed: 07/23/2024] Open
Abstract
Objective Circulating tumor DNA (ctDNA) is increasingly being used as a potential prognosis biomarker in patients of breast cancer. This review aims to assess the clinical value of ctDNA in outcome prediction in breast cancer patients throughout the whole treatment cycle. Methods PubMed, Web of Science, Embase, Cochrane Library, Scopus, and clinical trials.gov were searched from January 2016 to May 2022. Conference abstracts published in last three years were also included. The following search terms were used: ctDNA OR circulating tumor DNA AND breast cancer OR breast carcinoma. Only studies written in English languages were included. The following pre-specified criteria should be met for inclusion: (1) observational studies (prospective or retrospective), randomized control trials, case-control studies and case series studies; (2) patients with breast cancer; (3) ctDNA measurement; (4) clinical outcome data such as objective response rate (ORR), pathological complete response (pCR), relapse-free survival (RFS), overall survival (OS), and so on. The random-effect model was preferred considering the potential heterogeneity across studies. The primary outcomes included postoperative short-term outcomes (ORR and pCR) and postoperative long-term outcomes (RFS, OS, and relapse). Secondary outcomes focused on ctDNA detection rate. Results A total of 30 studies, comprising of 19 cohort studies, 2 case-control studies and 9 case series studies were included. The baseline ctDNA was significantly negatively associated with ORR outcome (Relative Risk [RR] = 0.65, 95% confidence interval [CI]: 0.50-0.83), with lower ORR in the ctDNA-positive group than ctDNA-negative group. ctDNA during neoadjuvant therapy (NAT) treatment was significantly associated with pCR outcomes (Odds Ratio [OR] = 0.15, 95% CI: 0.04-0.54). The strong association between ctDNA and RFS or relapse outcome was significant across the whole treatment period, especially after the surgery (RFS: Hazard Ratio [HR] = 6.74, 95% CI: 3.73-12.17; relapse outcome: RR = 7.11, 95% CI: 3.05-16.53), although there was heterogeneity in these results. Pre-operative and post-operative ctDNA measurements were significantly associated with OS outcomes (pre-operative: HR = 2.03, 95% CI: 1.12-3.70; post-operative: HR = 6.03, 95% CI: 1.31-27.78). Conclusions In this review, ctDNA measurements at different timepoints are correlated with evaluation indexes at different periods after treatment. The ctDNA can be used as an early potential postoperative prognosis biomarker in breast cancer, and also as a reference index to evaluate the therapeutic effect at different stages.
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Affiliation(s)
- Na'na Guo
- Hebei Province Centers for Disease Control and Prevention, Shijiazhuang, China
| | - Qingxin Zhou
- Tianjin Centers for Disease Control and Prevention, Tianjin, China
| | - Xiaowei Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Baoqi Zeng
- Department of Science and Education, Peking University Binhai Hospital, Tianjin, China
| | - Shanshan Wu
- Clinical Epidemiology and EBM Unit, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Hongmei Zeng
- National Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Feng Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Major Disease Epidemiology, Ministry of Education (Peking University), Beijing, China
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Marra A, Chandarlapaty S, Modi S. Management of patients with advanced-stage HER2-positive breast cancer: current evidence and future perspectives. Nat Rev Clin Oncol 2024; 21:185-202. [PMID: 38191924 DOI: 10.1038/s41571-023-00849-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/11/2023] [Indexed: 01/10/2024]
Abstract
Amplification and/or overexpression of ERBB2, the gene encoding HER2, can be found in 15-20% of invasive breast cancers and is associated with an aggressive phenotype and poor clinical outcomes. Relentless research efforts in molecular biology and drug development have led to the implementation of several HER2-targeted therapies, including monoclonal antibodies, tyrosine-kinase inhibitors and antibody-drug conjugates, constituting one of the best examples of bench-to-bedside translation in oncology. Each individual drug class has improved patient outcomes and, importantly, the combinatorial and sequential use of different HER2-targeted therapies has increased cure rates in the early stage disease setting and substantially prolonged survival for patients with advanced-stage disease. In this Review, we describe key steps in the development of the modern paradigm for the treatment of HER2-positive advanced-stage breast cancer, including selecting and sequencing new-generation HER2-targeted therapies, and summarize efficacy and safety outcomes from pivotal studies. We then outline the factors that are currently known to be related to resistance to HER2-targeted therapies, such as HER2 intratumoural heterogeneity, activation of alternative signalling pathways and immune escape mechanisms, as well as potential strategies that might be used in the future to overcome this resistance and further improve patient outcomes.
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Affiliation(s)
- Antonio Marra
- Division of New Drugs and Early Drug Development, European Institute of Oncology IRCCS, Milan, Italy
| | - Sarat Chandarlapaty
- Human Oncology and Pathogenesis Program (HOPP), Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Breast Medicine Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Shanu Modi
- Breast Medicine Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Weill Cornell Medical College, New York, NY, USA.
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Chen B, Liu S, Zhu Y, Wang R, Cheng X, Chen B, Dragomir MP, Zhang Y, Hu Y, Liu M, Li Q, Yang H, Xi M. Predictive role of ctDNA in esophageal squamous cell carcinoma receiving definitive chemoradiotherapy combined with toripalimab. Nat Commun 2024; 15:1919. [PMID: 38429311 PMCID: PMC10907344 DOI: 10.1038/s41467-024-46307-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 02/15/2024] [Indexed: 03/03/2024] Open
Abstract
The combination of toripalimab (an anti-PD-1 antibody) with definitive chemoradiotherapy (CRT) demonstrated encouraging efficacy against locally advanced esophageal squamous cell carcinoma (ESCC) in the EC-CRT-001 phase II trial (NCT04005170). The primary endpoint of this trial was the clinical complete response rate (cCR), and the secondary endpoints included overall survival (OS), progression-free survival (PFS), duration of response, and quality of life. The exploratory analyses of EC-CRT-001 include exploring the role of circulating tumor DNA (ctDNA) and blood-based tumor mutational burden (bTMB) in predicting the response and survival. In total, 118 blood and 35 tissue samples from 42 enrolled patients were included in the analyses. We found that ctDNA-negative patients achieved a higher cCR compared to those with detectable ctDNA during CRT (83%, 19/23 vs. 39%, 7/18; p = 0.008) or post-CRT (78%, 21/27 vs. 30%, 3/10; p = 0.017). Patients with detectable ctDNA during CRT had shorter PFS (p = 0.014). Similarly, patients with post-CRT detectable ctDNA had a significantly shorter PFS (p = 0.012) and worse OS (p = 0.004). Moreover, patients with high bTMB levels during CRT had prolonged OS (p = 0.027). In conclusion, ctDNA and bTMB have the potential to predict treatment efficacy and survival in ESCC treated with CRT and immunotherapy.
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Affiliation(s)
- Baoqing Chen
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangdong Esophageal Cancer Institute, Guangzhou, Guangdong, PR China
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, PR China
| | - Shiliang Liu
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangdong Esophageal Cancer Institute, Guangzhou, Guangdong, PR China
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, PR China
| | - Yujia Zhu
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangdong Esophageal Cancer Institute, Guangzhou, Guangdong, PR China
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, PR China
| | - Ruixi Wang
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangdong Esophageal Cancer Institute, Guangzhou, Guangdong, PR China
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, PR China
| | - Xingyuan Cheng
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangdong Esophageal Cancer Institute, Guangzhou, Guangdong, PR China
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, PR China
| | - Biqi Chen
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangdong Esophageal Cancer Institute, Guangzhou, Guangdong, PR China
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, PR China
| | - Mihnea P Dragomir
- Institute of Pathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
- German Cancer Consortium (DKTK), Partner Site Berlin, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Yaru Zhang
- Nanjing Geneseeq Technology Inc, Nanjing, Jiangsu, PR China
| | - Yonghong Hu
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangdong Esophageal Cancer Institute, Guangzhou, Guangdong, PR China
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, PR China
| | - Mengzhong Liu
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangdong Esophageal Cancer Institute, Guangzhou, Guangdong, PR China
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, PR China
| | - Qiaoqiao Li
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangdong Esophageal Cancer Institute, Guangzhou, Guangdong, PR China.
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, PR China.
| | - Hong Yang
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangdong Esophageal Cancer Institute, Guangzhou, Guangdong, PR China.
- Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, PR China.
| | - Mian Xi
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangdong Esophageal Cancer Institute, Guangzhou, Guangdong, PR China.
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, PR China.
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Bruno W, Ghiorzo P. Special Issue "Molecular Advances in Cancer Genetics 3.0". Int J Mol Sci 2024; 25:2717. [PMID: 38473964 DOI: 10.3390/ijms25052717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 02/21/2024] [Indexed: 03/14/2024] Open
Abstract
The third volume of this Special Issue focuses on new advances in cancer genetics studies and collates papers reporting on a variety of mechanisms of tumorigenesis, the need to explore them from multiple perspectives, and the difficulties in exploring them, as well as the challenge of integrating them into a unifying but still different model for each tumor type [...].
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Affiliation(s)
- William Bruno
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genoa, Italy
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, Viale Benedetto XV 6, 16132 Genoa, Italy
| | - Paola Ghiorzo
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genoa, Italy
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, Viale Benedetto XV 6, 16132 Genoa, Italy
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Nielsen LR, Stensgaard S, Meldgaard P, Sorensen BS. ctDNA-based minimal residual disease detection in lung cancer patients treated with curative intended chemoradiotherapy using a clinically transferable approach. Cancer Treat Res Commun 2024; 39:100802. [PMID: 38428066 DOI: 10.1016/j.ctarc.2024.100802] [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: 01/16/2024] [Revised: 02/20/2024] [Accepted: 02/22/2024] [Indexed: 03/03/2024]
Abstract
BACKGROUND Reliable biomarkers are needed to identify tumor recurrence of non-small cell lung cancer (NSCLC) patients after chemoradiotherapy (CRT) with curative intent. This could improve consolidation therapy of progressing patients. However, the approach of existing studies has limited transferability to the clinic. MATERIALS AND METHODS A retrospective analysis of 135 plasma samples from 56 inoperable NSCLC patients who received CRT with curative intent was performed. Plasma samples collected at baseline, at the first check-up (average 1.6 months post-RT), and at the second check-up (average 4.5 months post-RT) were analyzed by deep sequencing with a commercially available cancer personalized profiling strategy (CAPP-Seq) using a tumor-agnostic approach. RESULTS Detection of circulating tumor DNA (ctDNA) at 4.5 months after therapy was significantly associated with higher odds of tumor recurrence (OR: 5.4 (CI: 1.1-31), Fisher's exact test: p-value = 0.022), and shorter recurrence-free survival (RFS) (HR: 4.1 (CI: 1.7-10); log-rank test: p-value = 9e-04). In contrast, detection of ctDNA at 1.6 months after therapy was not associated with higher odds of tumor recurrence (OR: 2.7 (CI: 0.67-12), Fisher's exact test: p-value = 0.13) or shorter RFS (HR: 1.5 (CI: 0.67-3.3); log-rank test: p-value = 0.32). CONCLUSION This study demonstrates that the detection of ctDNA can be used to identify minimal residual disease 4.5 months after CRT in NSCLC patients using a commercially available kit and a tumor-agnostic approach. Furthermore, the time point of collecting the plasma sample after CRT has decisive importance for the prognostic value of ctDNA. MICRO ABSTRACT This study analysed 135 plasma samples from 56 NSCLC patients treated with curative intent chemoradiotherapy using a tumor-agnostic approach. Detecting ctDNA at 4.5 months post-treatment was linked to higher recurrence odds, indicating ctDNA's potential as a biomarker for identifying residual disease after treatment with curative intent. Importantly, the study emphasizes the importance of timing for accurate ctDNA analysis results.
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Affiliation(s)
- Lærke Rosenlund Nielsen
- Department of Clinical Biochemistry, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus N, 8200, Denmark; Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, Aarhus N, 8200, Denmark
| | - Simone Stensgaard
- Department of Clinical Biochemistry, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus N, 8200, Denmark; Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, Aarhus N, 8200, Denmark
| | - Peter Meldgaard
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, Aarhus N, 8200, Denmark; Department of Oncology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus N, 8200, Denmark
| | - Boe Sandahl Sorensen
- Department of Clinical Biochemistry, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus N, 8200, Denmark; Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, Aarhus N, 8200, Denmark.
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Igder S, Zamani M, Fakher S, Siri M, Ashktorab H, Azarpira N, Mokarram P. Circulating Nucleic Acids in Colorectal Cancer: Diagnostic and Prognostic Value. DISEASE MARKERS 2024; 2024:9943412. [PMID: 38380073 PMCID: PMC10878755 DOI: 10.1155/2024/9943412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 01/07/2024] [Accepted: 01/25/2024] [Indexed: 02/22/2024]
Abstract
Colorectal cancer (CRC) is the third most prevalent cancer in the world and the fourth leading cause of cancer-related mortality. DNA (cfDNA/ctDNA) and RNA (cfRNA/ctRNA) in the blood are promising noninvasive biomarkers for molecular profiling, screening, diagnosis, treatment management, and prognosis of CRC. Technological advancements that enable precise detection of both genetic and epigenetic abnormalities, even in minute quantities in circulation, can overcome some of these challenges. This review focuses on testing for circulating nucleic acids in the circulation as a noninvasive method for CRC detection, monitoring, detection of minimal residual disease, and patient management. In addition, the benefits and drawbacks of various diagnostic techniques and associated bioinformatics tools have been detailed.
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Affiliation(s)
- Somayeh Igder
- Department of Clinical Biochemistry, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Mozhdeh Zamani
- Autophagy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
- Department of Biochemistry, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Shima Fakher
- Department of Biochemistry, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Morvarid Siri
- Autophagy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Hassan Ashktorab
- Department of Medicine, Gastroenterology Division and Cancer Center, Howard University College of Medicine, Washington, DC, USA
| | - Negar Azarpira
- Autophagy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Pooneh Mokarram
- Autophagy Research Center, Department of Biochemistry, Shiraz University of Medical Sciences, Shiraz, Iran
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McGale JP, Howell HJ, Beddok A, Tordjman M, Sun R, Chen D, Wu AM, Assi T, Ammari S, Dercle L. Integrating Artificial Intelligence and PET Imaging for Drug Discovery: A Paradigm Shift in Immunotherapy. Pharmaceuticals (Basel) 2024; 17:210. [PMID: 38399425 PMCID: PMC10892847 DOI: 10.3390/ph17020210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 02/02/2024] [Accepted: 02/05/2024] [Indexed: 02/25/2024] Open
Abstract
The integration of artificial intelligence (AI) and positron emission tomography (PET) imaging has the potential to become a powerful tool in drug discovery. This review aims to provide an overview of the current state of research and highlight the potential for this alliance to advance pharmaceutical innovation by accelerating the development and deployment of novel therapeutics. We previously performed a scoping review of three databases (Embase, MEDLINE, and CENTRAL), identifying 87 studies published between 2018 and 2022 relevant to medical imaging (e.g., CT, PET, MRI), immunotherapy, artificial intelligence, and radiomics. Herein, we reexamine the previously identified studies, performing a subgroup analysis on articles specifically utilizing AI and PET imaging for drug discovery purposes in immunotherapy-treated oncology patients. Of the 87 original studies identified, 15 met our updated search criteria. In these studies, radiomics features were primarily extracted from PET/CT images in combination (n = 9, 60.0%) rather than PET imaging alone (n = 6, 40.0%), and patient cohorts were mostly recruited retrospectively and from single institutions (n = 10, 66.7%). AI models were used primarily for prognostication (n = 6, 40.0%) or for assisting in tumor phenotyping (n = 4, 26.7%). About half of the studies stress-tested their models using validation sets (n = 4, 26.7%) or both validation sets and test sets (n = 4, 26.7%), while the remaining six studies (40.0%) either performed no validation at all or used less stringent methods such as cross-validation on the training set. Overall, the integration of AI and PET imaging represents a paradigm shift in drug discovery, offering new avenues for more efficient development of therapeutics. By leveraging AI algorithms and PET imaging analysis, researchers could gain deeper insights into disease mechanisms, identify new drug targets, or optimize treatment regimens. However, further research is needed to validate these findings and address challenges such as data standardization and algorithm robustness.
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Affiliation(s)
- Jeremy P. McGale
- Department of Radiology, New York-Presbyterian Hospital, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA (H.J.H.)
| | - Harrison J. Howell
- Department of Radiology, New York-Presbyterian Hospital, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA (H.J.H.)
| | - Arnaud Beddok
- Department of Radiation Oncology, Institut Godinot, 51100 Reims, France
| | - Mickael Tordjman
- Department of Radiology, Hôtel Dieu Hospital, APHP, 75014 Paris, France
| | - Roger Sun
- Department of Radiation Oncology, Gustave Roussy, 94800 Villejuif, France
| | - Delphine Chen
- Department of Molecular Imaging and Therapy, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
- Department of Radiology, University of Washington, Seattle, WA 98195, USA
| | - Anna M. Wu
- Department of Immunology and Theranostics, Beckman Research Institute of City of Hope, Duarte, CA 91010, USA;
| | - Tarek Assi
- International Department, Gustave Roussy Cancer Campus, 94805 Villejuif, France
| | - Samy Ammari
- Department of Medical Imaging, BIOMAPS, UMR1281 INSERM, CEA, CNRS, Gustave Roussy, Université Paris-Saclay, 94800 Villejuif, France
- ELSAN Department of Radiology, Institut de Cancérologie Paris Nord, 95200 Sarcelles, France
| | - Laurent Dercle
- Department of Radiology, New York-Presbyterian Hospital, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA (H.J.H.)
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Han K, Zou J, Zhao Z, Baskurt Z, Zheng Y, Barnes E, Croke J, Ferguson SE, Fyles A, Gien L, Gladwish A, Lecavalier-Barsoum M, Lheureux S, Lukovic J, Mackay H, Marchand EL, Metser U, Milosevic M, Taggar AS, Bratman SV, Leung E. Clinical Validation of Human Papilloma Virus Circulating Tumor DNA for Early Detection of Residual Disease After Chemoradiation in Cervical Cancer. J Clin Oncol 2024; 42:431-440. [PMID: 37972346 PMCID: PMC10824379 DOI: 10.1200/jco.23.00954] [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: 04/29/2023] [Revised: 08/01/2023] [Accepted: 09/15/2023] [Indexed: 11/19/2023] Open
Abstract
PURPOSE Most cervical cancers are caused by human papilloma virus (HPV), and HPV circulating tumor DNA (ctDNA) may identify patients at highest risk of relapse. Our pilot study using digital polymerase chain reaction (dPCR) showed that detectable HPV ctDNA at the end of chemoradiation (CRT) is associated with inferior progression-free survival (PFS) and that a next-generation sequencing approach (HPV-seq) may outperform dPCR. We aimed to prospectively validate HPV ctDNA as a tool for early detection of residual disease. METHODS This prospective, multicenter validation study accrued patients with stage IB-IVA cervical cancer treated with CRT between 2017 and 2022. Participants underwent phlebotomy at baseline, end of CRT, 4-6 weeks post-CRT, and 3 months post-CRT for HPV ctDNA levels. Plasma HPV genotype-specific DNA levels were quantified using both dPCR and HPV-seq. The primary end point was 2-year PFS. RESULTS With a median follow-up of 2.2 (range, 0.5-5.5) years, there were 24 PFS events among the 70 patients with HPV+ cervical cancer. Patients with detectable HPV ctDNA on dPCR at the end of CRT, 4-6 weeks post-CRT, and 3 months post-CRT had significantly worse 2-year PFS compared with those with undetectable HPV ctDNA (77% v 51%, P = .03; 82% v 15%, P < .001; and 82% v 24%, P < .001, respectively); the median lead time to recurrence was 5.9 months. HPV-seq showed similar results as dPCR. On multivariable analyses, detectable HPV ctDNA on dPCR and HPV-seq remained independently associated with inferior PFS. CONCLUSION Persistent HPV ctDNA after CRT is independently associated with inferior PFS. HPV ctDNA testing can identify, as early as at the end of CRT, patients at high risk of recurrence for future treatment intensification trials.
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Affiliation(s)
- Kathy Han
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Jinfeng Zou
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Zhen Zhao
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Zeynep Baskurt
- Department of Biostatistics, University Health Network, Toronto, Ontario, Canada
| | - Yangqiao Zheng
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Elizabeth Barnes
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Jennifer Croke
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Sarah E. Ferguson
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Obstetrics and Gynecology, University of Toronto, Toronto, Canada
| | - Anthony Fyles
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Lilian Gien
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Department of Obstetrics and Gynecology, University of Toronto, Toronto, Canada
| | - Adam Gladwish
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | | | - Stephanie Lheureux
- Division of Medical Oncology, Department of Internal Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Jelena Lukovic
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Helen Mackay
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Division of Medical Oncology, Department of Internal Medicine, University of Toronto, Toronto, Ontario, Canada
| | | | - Ur Metser
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Michael Milosevic
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Amandeep S. Taggar
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Scott V. Bratman
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Eric Leung
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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Remon J, Saw SPL, Cortiula F, Singh PK, Menis J, Mountzios G, Hendriks LEL. Perioperative Treatment Strategies in EGFR-Mutant Early-Stage NSCLC: Current Evidence and Future Challenges. J Thorac Oncol 2024; 19:199-215. [PMID: 37783386 DOI: 10.1016/j.jtho.2023.09.1451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 08/21/2023] [Accepted: 09/27/2023] [Indexed: 10/04/2023]
Abstract
Treatment with 3 years of adjuvant osimertinib is considered a new standard in patients with completely resected stage I to IIIA NSCLC harboring a common sensitizing EGFR mutation. This therapeutic approach significantly prolonged the disease-free survival and the overall survival versus placebo and revealed a significant role in preventing the occurrence of brain metastases. However, many unanswered questions remain, including the optimal duration of this therapy, whether all patients benefit from adjuvant osimertinib, and the role of adjuvant chemotherapy in this population. Indeed, there is a renewed interest in neoadjuvant strategies with targeted therapies in resectable NSCLC harboring oncogenic drivers. In light of these considerations, we discuss the past and current treatment options, and the clinical challenges that should be addressed to optimize the treatment outcomes in this patient population.
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Affiliation(s)
- Jordi Remon
- Department of Cancer Medicine, Gustave Roussy, Villejuif, France.
| | - Stephanie P L Saw
- Department of Medical Oncology, National Cancer Centre Singapore, Duke-National University of Singapore Oncology Academic Clinical Programme, Singapore
| | | | - Pawan Kumar Singh
- Pandit Bhagwat Dayal Sharma Postgraduate Institute of Medical Science, Rothak, India
| | - Jessica Menis
- Medical Oncology Department, University and Hospital Trust of Verona, Verona, Italy
| | - Giannis Mountzios
- Fourth Department of Medical Oncology and Clinical Trials Unit, Henry Dunant Hospital Center, Athens, Greece
| | - Lizza E L Hendriks
- Department of Respiratory Medicine, Maastricht University Medical Centre, GROW School for Oncology and Reproduction, Maastricht, The Netherlands
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Li L, Jiang H, Zeng B, Wang X, Bao Y, Chen C, Ma L, Yuan J. Liquid biopsy in lung cancer. Clin Chim Acta 2024; 554:117757. [PMID: 38184141 DOI: 10.1016/j.cca.2023.117757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 12/29/2023] [Accepted: 12/31/2023] [Indexed: 01/08/2024]
Abstract
Lung cancer is a highly prevalent malignancy worldwide and the primary cause of mortality. The absence of systematic and standardized diagnostic approaches for identifying potential pulmonary nodules, early-stage cancers, and indeterminate tumors has led clinicians to consider tissue biopsy and pathological sections as the preferred method for clinical diagnosis, often regarded as the gold standard. The conventional tissue biopsy is an invasive procedure that does not adequately capture the diverse characteristics and evolving nature of tumors. Recently, the concept of 'liquid biopsy' has gained considerable attention as a promising solution. Liquid biopsy is a non-invasive approach that facilitates repeated analysis, enabling real-time monitoring of tumor recurrence, metastasis, and response to treatment. Currently, liquid biopsy includes circulating tumor cells, circulating cell-free DNA, circulating tumor DNA, circulating cell-free RNA, extracellular vesicles, and other proteins and metabolites. With rapid progress in molecular technology, liquid biopsy has emerged as a highly promising and intriguing approach, yielding compelling results. This article critically examines the significant role and potential clinical implications of liquid biopsy in the diagnosis, treatment, and prognosis of lung cancer.
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Affiliation(s)
- Lan Li
- Department of Laboratory Medicine, Shanghai Chest Hospital Shanghai Jiao Tong University School of Medicine Shanghai China, Shanghai 200030, China; Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Haixia Jiang
- Department of Laboratory Medicine, Shanghai Chest Hospital Shanghai Jiao Tong University School of Medicine Shanghai China, Shanghai 200030, China
| | - Bingjie Zeng
- Department of Laboratory Medicine, Shanghai Chest Hospital Shanghai Jiao Tong University School of Medicine Shanghai China, Shanghai 200030, China
| | - Xianzhao Wang
- Department of Laboratory Medicine, Shanghai Chest Hospital Shanghai Jiao Tong University School of Medicine Shanghai China, Shanghai 200030, China
| | - Yunxia Bao
- Department of Laboratory Medicine, Shanghai Chest Hospital Shanghai Jiao Tong University School of Medicine Shanghai China, Shanghai 200030, China
| | - Changqiang Chen
- Department of Laboratory Medicine, Shanghai Chest Hospital Shanghai Jiao Tong University School of Medicine Shanghai China, Shanghai 200030, China.
| | - Lifang Ma
- Department of Laboratory Medicine, Shanghai Chest Hospital Shanghai Jiao Tong University School of Medicine Shanghai China, Shanghai 200030, China.
| | - Jin Yuan
- Department of Laboratory Medicine, Shanghai Chest Hospital Shanghai Jiao Tong University School of Medicine Shanghai China, Shanghai 200030, China; Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
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Martens GA, Demol J, Dedeurwaerdere F, Breyne J, De Smet K, De Jaeger P, De Smet D. Rational thresholding of circulating tumor DNA concentration for improved surveillance of metastatic breast cancer. ESMO Open 2024; 9:102235. [PMID: 38320429 PMCID: PMC10937210 DOI: 10.1016/j.esmoop.2024.102235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 12/13/2023] [Accepted: 01/05/2024] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND The use of circulating tumor DNA (ctDNA) concentration for metastatic cancer surveillance is promising, but uncertainty remains about cut-offs with clinical validity. MATERIALS AND METHODS This observational study recruited 136 subjects with advanced metastatic breast cancer (irrespective of ERBB2/hormone receptor status) for sequencing of their primary tumor in search for PIK3CA hotspot variants amenable for monitoring by droplet digital PCR (ddPCR). The study analyzed 341 on-treatment samples from 19 patients with PIK3CA variants H1047R or E545K enrolled for long-term (median 85 weeks, range 13-125 weeks), frequent (every 3-5 weeks, median of 14 time points per subject, range 2-29) blood sampling for ctDNA quantification by ddPCR, orthogonally validated by deep sequencing. The diagnostic accuracy of ctDNA versus cancer antigen 15-3 (CA15-3) concentrations to predict disease progression within 12 weeks was investigated using receiver operating characteristic (ROC) analysis. Likelihood ratios were used for rational selection of ctDNA result intervals. RESULTS ctDNA [area under the ROC curve (AUC) 0.848, 95% confidence interval (CI) 0.791-0.895] showed superior diagnostic performance than CA15-3 (AUC 0.670, 95% CI 0.601-0.735, P < 0.001) to predict clinical progression within 12 weeks. ctDNA levels below 10 mutant allele copies/ml had high negative predictive value (88%), while levels above 100 copies/ml detected 64% of progressions 10 weeks earlier versus standard of care. Logistic regression analysis indicated complementary value of ctDNA and the presence of two consecutive CA15-3 rises, resulting in a model with 86% (95% CI 74% to 93%) positive predictive value and a clinically meaningful result in 89% of blood draws. CONCLUSIONS Intensive ctDNA quantification improves metastatic breast cancer surveillance and enables individualized risk-based scheduling of clinical care.
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Affiliation(s)
- G A Martens
- Department of Laboratory Medicine, AZ Delta General Hospital, Roeselare; Department of Biomolecular Medicine, Ghent University, Ghent.
| | - J Demol
- Department of Oncology, AZ Delta General Hospital, Roeselare
| | | | - J Breyne
- Department of Laboratory Medicine, AZ Delta General Hospital, Roeselare
| | - K De Smet
- Department of Radiology, AZ Delta General Hospital, Roeselare
| | - P De Jaeger
- Department of RADar Learning and Innovation Center, AZ Delta General Hospital, Roeselare, Belgium
| | - D De Smet
- Department of Laboratory Medicine, AZ Delta General Hospital, Roeselare
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Geissler F, Nesic K, Kondrashova O, Dobrovic A, Swisher EM, Scott CL, J. Wakefield M. The role of aberrant DNA methylation in cancer initiation and clinical impacts. Ther Adv Med Oncol 2024; 16:17588359231220511. [PMID: 38293277 PMCID: PMC10826407 DOI: 10.1177/17588359231220511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 11/21/2023] [Indexed: 02/01/2024] Open
Abstract
Epigenetic alterations, including aberrant DNA methylation, are now recognized as bone fide hallmarks of cancer, which can contribute to cancer initiation, progression, therapy responses and therapy resistance. Methylation of gene promoters can have a range of impacts on cancer risk, clinical stratification and therapeutic outcomes. We provide several important examples of genes, which can be silenced or activated by promoter methylation and highlight their clinical implications. These include the mismatch DNA repair genes MLH1 and MSH2, homologous recombination DNA repair genes BRCA1 and RAD51C, the TERT oncogene and genes within the P15/P16/RB1/E2F tumour suppressor axis. We also discuss how these methylation changes might occur in the first place - whether in the context of the CpG island methylator phenotype or constitutional DNA methylation. The choice of assay used to measure methylation can have a significant impact on interpretation of methylation states, and some examples where this can influence clinical decision-making are presented. Aberrant DNA methylation patterns in circulating tumour DNA (ctDNA) are also showing great promise in the context of non-invasive cancer detection and monitoring using liquid biopsies; however, caution must be taken in interpreting these results in cases where constitutional methylation may be present. Thus, this review aims to provide researchers and clinicians with a comprehensive summary of this broad, but important subject, illustrating the potentials and pitfalls of assessing aberrant DNA methylation in cancer.
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Affiliation(s)
- Franziska Geissler
- Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
| | - Ksenija Nesic
- Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
- Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia
| | - Olga Kondrashova
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Alexander Dobrovic
- University of Melbourne Department of Surgery, Austin Health, Heidelberg, VIC, Australia
| | | | - Clare L. Scott
- Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
- Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia
- Department of Obstetrics and Gynaecology, University of Melbourne, Parkville, VIC, Australia
- Peter MacCallum Cancer Centre and Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
- Royal Women’s Hospital, Parkville, VIC, Australia
- Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Matthew J. Wakefield
- Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, VIC 3052Department of Obstetrics and Gynaecology, University of Melbourne, Parkville, VIC, Australia
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Martin-Alonso C, Tabrizi S, Xiong K, Blewett T, Sridhar S, Crnjac A, Patel S, An Z, Bekdemir A, Shea D, Wang ST, Rodriguez-Aponte S, Naranjo CA, Rhoades J, Kirkpatrick JD, Fleming HE, Amini AP, Golub TR, Love JC, Bhatia SN, Adalsteinsson VA. Priming agents transiently reduce the clearance of cell-free DNA to improve liquid biopsies. Science 2024; 383:eadf2341. [PMID: 38236959 DOI: 10.1126/science.adf2341] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 12/01/2023] [Indexed: 01/23/2024]
Abstract
Liquid biopsies enable early detection and monitoring of diseases such as cancer, but their sensitivity remains limited by the scarcity of analytes such as cell-free DNA (cfDNA) in blood. Improvements to sensitivity have primarily relied on enhancing sequencing technology ex vivo. We sought to transiently augment the level of circulating tumor DNA (ctDNA) in a blood draw by attenuating its clearance in vivo. We report two intravenous priming agents given 1 to 2 hours before a blood draw to recover more ctDNA. Our priming agents consist of nanoparticles that act on the cells responsible for cfDNA clearance and DNA-binding antibodies that protect cfDNA. In tumor-bearing mice, they greatly increase the recovery of ctDNA and improve the sensitivity for detecting small tumors.
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Affiliation(s)
- Carmen Martin-Alonso
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Harvard-MIT Division of Health Sciences and Technology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Shervin Tabrizi
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA 02114, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Kan Xiong
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Timothy Blewett
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Andjela Crnjac
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Sahil Patel
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Division of Pulmonary and Critical Care, Department of Medicine, Massachusetts General Hospital, Boston, MA 02124, USA
| | - Zhenyi An
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ahmet Bekdemir
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Douglas Shea
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Shih-Ting Wang
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Sergio Rodriguez-Aponte
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Christopher A Naranjo
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Justin Rhoades
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jesse D Kirkpatrick
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Harvard-MIT Division of Health Sciences and Technology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Heather E Fleming
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Ava P Amini
- Microsoft Research, Cambridge, MA 02142, USA
| | - Todd R Golub
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Harvard Medical School, Boston, MA 02115, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
| | - J Christopher Love
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Sangeeta N Bhatia
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Harvard-MIT Division of Health Sciences and Technology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
- Wyss Institute at Harvard University, Boston, MA 02215, USA
- Howard Hughes Medical Institute, Cambridge, MA 02138, USA
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Shi W, Wartmann T, Accuffi S, Al-Madhi S, Perrakis A, Kahlert C, Link A, Venerito M, Keitel-Anselmino V, Bruns C, Croner RS, Zhao Y, Kahlert UD. Integrating a microRNA signature as a liquid biopsy-based tool for the early diagnosis and prediction of potential therapeutic targets in pancreatic cancer. Br J Cancer 2024; 130:125-134. [PMID: 37950093 PMCID: PMC10781694 DOI: 10.1038/s41416-023-02488-4] [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: 06/05/2023] [Revised: 10/19/2023] [Accepted: 10/30/2023] [Indexed: 11/12/2023] Open
Abstract
INTRODUCTION Pancreatic cancer is a highly aggressive cancer, and early diagnosis significantly improves patient prognosis due to the early implementation of curative-intent surgery. Our study aimed to implement machine-learning algorithms to aid in early pancreatic cancer diagnosis based on minimally invasive liquid biopsies. MATERIALS AND METHODS The analysis data were derived from nine public pancreatic cancer miRNA datasets and two sequencing datasets from 26 pancreatic cancer patients treated in our medical center, featuring small RNAseq data for patient-matched tumor and non-tumor samples and serum. Upon batch-effect removal, systematic analyses for differences between paired tissue and serum samples were performed. The robust rank aggregation (RRA) algorithm was used to reveal feature markers that were co-expressed by both sample types. The repeatability and real-world significance of the enriched markers were then determined by validating their expression in our patients' serum. The top candidate markers were used to assess the accuracy of predicting pancreatic cancer through four machine learning methods. Notably, these markers were also applied for the identification of pancreatic cancer and pancreatitis. Finally, we explored the clinical prognostic value, candidate targets and predict possible regulatory cell biology mechanisms involved. RESULTS Our multicenter analysis identified hsa-miR-1246, hsa-miR-205-5p, and hsa-miR-191-5p as promising candidate serum biomarkers to identify pancreatic cancer. In the test dataset, the accuracy values of the prediction model applied via four methods were 94.4%, 84.9%, 82.3%, and 83.3%, respectively. In the real-world study, the accuracy values of this miRNA signatures were 82.3%, 83.5%, 79.0%, and 82.2. Moreover, elevated levels of these miRNAs were significant indicators of advanced disease stage and allowed the discrimination of pancreatitis from pancreatic cancer with an accuracy rate of 91.5%. Elevated expression of hsa-miR-205-5p, a previously undescribed blood marker for pancreatic cancer, is associated with negative clinical outcomes in patients. CONCLUSION A panel of three miRNAs was developed with satisfactory statistical and computational performance in real-world data. Circulating hsa-miRNA 205-5p serum levels serve as a minimally invasive, early detection tool for pancreatic cancer diagnosis and disease staging and might help monitor therapy success.
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Affiliation(s)
- Wenjie Shi
- Molecular and Experimental Surgery, Faculty of Medicine and University Hospital Magdeburg, Department of General-, Visceral-, Vascular- and Transplant- Surgery, University of Magdeburg, Magdeburg, Germany
| | - Thomas Wartmann
- Molecular and Experimental Surgery, Faculty of Medicine and University Hospital Magdeburg, Department of General-, Visceral-, Vascular- and Transplant- Surgery, University of Magdeburg, Magdeburg, Germany
| | - Sara Accuffi
- Molecular and Experimental Surgery, Faculty of Medicine and University Hospital Magdeburg, Department of General-, Visceral-, Vascular- and Transplant- Surgery, University of Magdeburg, Magdeburg, Germany
| | - Sara Al-Madhi
- Molecular and Experimental Surgery, Faculty of Medicine and University Hospital Magdeburg, Department of General-, Visceral-, Vascular- and Transplant- Surgery, University of Magdeburg, Magdeburg, Germany
| | - Aristotelis Perrakis
- Molecular and Experimental Surgery, Faculty of Medicine and University Hospital Magdeburg, Department of General-, Visceral-, Vascular- and Transplant- Surgery, University of Magdeburg, Magdeburg, Germany
| | - Christoph Kahlert
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Alexander Link
- Department of Gastroenterology, Hepatology and Infectious Diseases, Otto-von-Guericke University Hospital Magdeburg, 39120, Magdeburg, Germany
| | - Marino Venerito
- Department of Gastroenterology, Hepatology and Infectious Diseases, Otto-von-Guericke University Hospital Magdeburg, 39120, Magdeburg, Germany
| | - Verena Keitel-Anselmino
- Department of Gastroenterology, Hepatology and Infectious Diseases, Otto-von-Guericke University Hospital Magdeburg, 39120, Magdeburg, Germany
| | - Christiane Bruns
- Faculty of Medicine and University Hospital Cologne, Department of General, Visceral and Cancer Surgery, University of Cologne, Cologne, Germany
| | - Roland S Croner
- Molecular and Experimental Surgery, Faculty of Medicine and University Hospital Magdeburg, Department of General-, Visceral-, Vascular- and Transplant- Surgery, University of Magdeburg, Magdeburg, Germany
| | - Yue Zhao
- Faculty of Medicine and University Hospital Cologne, Department of General, Visceral and Cancer Surgery, University of Cologne, Cologne, Germany.
| | - Ulf D Kahlert
- Molecular and Experimental Surgery, Faculty of Medicine and University Hospital Magdeburg, Department of General-, Visceral-, Vascular- and Transplant- Surgery, University of Magdeburg, Magdeburg, Germany.
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Dong Q, Chen C, Hu Y, Zhang W, Yang X, Qi Y, Zhu C, Chen X, Shen X, Ji W. Clinical application of molecular residual disease detection by circulation tumor DNA in solid cancers and a comparison of technologies: review article. Cancer Biol Ther 2023; 24:2274123. [PMID: 37955635 PMCID: PMC10653633 DOI: 10.1080/15384047.2023.2274123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 08/04/2023] [Indexed: 11/14/2023] Open
Abstract
Molecular residual disease (MRD), detected by circulating tumor DNA (ctDNA) can be involved in the entire process of solid tumor management, including recurrence prediction, efficacy evaluation, and risk stratification. Currently, the detection technologies are divided into two main categories, as follows: tumor-agnostic and tumor informed. Tumor-informed assay obtains mutation information by sequencing tumor tissue samples before blood MRD monitoring, followed by formulation of a personalized MRD panel. Tumor-agnostic assays are carried out using a fixed panel without the mutation information from primary tumor tissue. The choice of testing strategy may depend on the level of evidence from ongoing randomized clinical trials, investigator preference, cost-effectiveness, patient economics, and availability of tumor tissue. The review describes the difference between tumor informed and tumor agnostic detection. In addition, the clinical application of ctDNA MRD in solid tumors was introduced, with emphasis on lung cancer, colorectal cancer, Urinary system cancer, and breast cancer.
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Affiliation(s)
- Qiantong Dong
- Department of Gastrointestinal Surveillance, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Lucheng District, Wenzhou, Zhejiang, China
| | - Chenbin Chen
- Department of Gastrointestinal Surveillance, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Lucheng District, Wenzhou, Zhejiang, China
- Department of Gastrointestinal Surveillance, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou City, Zhejiang, China
| | - Yuanbo Hu
- Department of Gastrointestinal Surveillance, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Lucheng District, Wenzhou, Zhejiang, China
- Department of Gastrointestinal Surveillance, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou City, Zhejiang, China
| | - Weiteng Zhang
- Department of Gastrointestinal Surveillance, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Lucheng District, Wenzhou, Zhejiang, China
| | - Xinxin Yang
- Department of Gastrointestinal Surveillance, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou City, Zhejiang, China
| | - Yingxue Qi
- The Medical Department, Jiangsu Simcere Diagnostics Co.Ltd, The state Key Laboratory of Neurology and Oncology Drug Development, Nanjing, China
| | - Chan Zhu
- The Medical Department, Jiangsu Simcere Diagnostics Co.Ltd, The state Key Laboratory of Neurology and Oncology Drug Development, Nanjing, China
| | - Xiaodong Chen
- Department of Gastrointestinal Surveillance, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Lucheng District, Wenzhou, Zhejiang, China
| | - Xian Shen
- Department of Gastrointestinal Surveillance, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Lucheng District, Wenzhou, Zhejiang, China
- Department of Gastrointestinal Surveillance, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou City, Zhejiang, China
| | - Weiping Ji
- Department of Gastrointestinal Surveillance, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Lucheng District, Wenzhou, Zhejiang, China
- Department of Gastrointestinal Surveillance, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou City, Zhejiang, China
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50
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Melton CA, Freese P, Zhou Y, Shenoy A, Bagaria S, Chang C, Kuo CC, Scott E, Srinivasan S, Cann G, Roychowdhury-Saha M, Chang PY, Singh AH. A Novel Tissue-Free Method to Estimate Tumor-Derived Cell-Free DNA Quantity Using Tumor Methylation Patterns. Cancers (Basel) 2023; 16:82. [PMID: 38201510 PMCID: PMC10777919 DOI: 10.3390/cancers16010082] [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: 11/07/2023] [Revised: 12/07/2023] [Accepted: 12/20/2023] [Indexed: 01/12/2024] Open
Abstract
Estimating the abundance of cell-free DNA (cfDNA) fragments shed from a tumor (i.e., circulating tumor DNA (ctDNA)) can approximate tumor burden, which has numerous clinical applications. We derived a novel, broadly applicable statistical method to quantify cancer-indicative methylation patterns within cfDNA to estimate ctDNA abundance, even at low levels. Our algorithm identified differentially methylated regions (DMRs) between a reference database of cancer tissue biopsy samples and cfDNA from individuals without cancer. Then, without utilizing matched tissue biopsy, counts of fragments matching the cancer-indicative hyper/hypo-methylated patterns within DMRs were used to determine a tumor methylated fraction (TMeF; a methylation-based quantification of the circulating tumor allele fraction and estimate of ctDNA abundance) for plasma samples. TMeF and small variant allele fraction (SVAF) estimates of the same cancer plasma samples were correlated (Spearman's correlation coefficient: 0.73), and synthetic dilutions to expected TMeF of 10-3 and 10-4 had estimated TMeF within two-fold for 95% and 77% of samples, respectively. TMeF increased with cancer stage and tumor size and inversely correlated with survival probability. Therefore, tumor-derived fragments in the cfDNA of patients with cancer can be leveraged to estimate ctDNA abundance without the need for a tumor biopsy, which may provide non-invasive clinical approximations of tumor burden.
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