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Bommier C, Maurer MJ, Lambert J. What clinicians should know about surrogate end points in hematologic malignancies. Blood 2024; 144:11-20. [PMID: 38603637 DOI: 10.1182/blood.2023022269] [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: 10/10/2023] [Revised: 03/14/2024] [Accepted: 04/03/2024] [Indexed: 04/13/2024] Open
Abstract
ABSTRACT Use of surrogates as primary end points is commonplace in hematology/oncology clinical trials. As opposed to prognostic markers, surrogates are end points that can be measured early and yet can still capture the full effect of treatment, because it would be captured by the true outcome (eg, overall survival). We discuss the level of evidence of the most commonly used end points in hematology and share recommendations on how to apply and evaluate surrogate end points in research and clinical practice. Based on the statistical literature, this clinician-friendly review intends to build a bridge between clinicians and surrogacy specialists.
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Affiliation(s)
- Côme Bommier
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
- Epidemiology and Clinical Statistics for Tumor, Respiratory, and Resuscitation Assessments Team, INSERM, U1153, Assistance Publique-Hôpitaux de Paris Hôpital St Louis, Université Paris Cité, Paris, France
| | - Matthew John Maurer
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
- Division of Hematology, Mayo Clinic, Rochester, MN
| | - Jerome Lambert
- Epidemiology and Clinical Statistics for Tumor, Respiratory, and Resuscitation Assessments Team, INSERM, U1153, Assistance Publique-Hôpitaux de Paris Hôpital St Louis, Université Paris Cité, Paris, France
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2
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Mishra M, Ahmed R, Das DK, Pramanik DD, Dash SK, Pramanik A. Recent Advancements in the Application of Circulating Tumor DNA as Biomarkers for Early Detection of Cancers. ACS Biomater Sci Eng 2024. [PMID: 38950521 DOI: 10.1021/acsbiomaterials.4c00606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/03/2024]
Abstract
Early detection of cancer is vital for increasing patient survivability chances. The three major techniques used to diagnose cancers are instrumental examination, tissue biopsy, and tumor biomarker detection. Circulating tumor DNA (ctDNA) has gained much attention in recent years due to advantages over traditional technology, such as high sensitivity, high specificity, and noninvasive nature. Through the mechanism of apoptosis, necrosis, and circulating exosome release in tumor cells, ctDNA can spread throughout the circulatory system and carry modifications such as methylations, mutations, gene rearrangements, and microsatellite instability. Traditional gene-detection technology struggles to achieve real-time, low-cost, and portable ctDNA measurement, whereas electrochemical biosensors offer low cost, high specificity alongside sensitivity, and portability for the detection of ctDNA. Therefore, this review focuses on describing the recent advancements in ctDNA biomarkers for various cancer types and biosensor developments for real-time, noninvasive, and rapid ctDNA detection. Further in the review, ctDNA sensors are also discussed in regards to their selections of probes for receptors based on the electrode surface recognition elements.
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Affiliation(s)
- Mahima Mishra
- Amity Institute of Biotechnology, Amity University, Noida 201301, India
| | - Rubai Ahmed
- Department of Physiology, University of Gour Banga, Malda-732103, West Bengal, India
| | - Deepak Kumar Das
- Department of Chemistry and Nanoscience, GLA University, Mathura, 281406 Uttar Pradesh, India
| | | | - Sandeep Kumar Dash
- Department of Physiology, University of Gour Banga, Malda-732103, West Bengal, India
| | - Arindam Pramanik
- Amity Institute of Biotechnology, Amity University, Noida 201301, India
- School of Medicine, University of Leeds, Leeds LS53RL, United Kingdom
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3
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Banchi M, Cox MC, Bocci G. Metronomic chemotherapy in hematology: Lessons from preclinical and clinical studies to build a solid rationale for future schedules. Cancer Lett 2024; 591:216900. [PMID: 38636896 DOI: 10.1016/j.canlet.2024.216900] [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: 11/02/2023] [Revised: 03/05/2024] [Accepted: 04/15/2024] [Indexed: 04/20/2024]
Abstract
Metronomic chemotherapy (mCHEMO), based on frequent, regular administration of low, but pharmacologically active drug doses, optimizes antitumor efficacy by targeting multiple targets and reducing toxicity of antineoplastic drugs. This minireview will summarize preclinical and clinical studies on cytotoxic drugs given at weekly, daily, or at continuous metronomic schedules alone or in combination with novel targeted agents for hematological malignancies, including lymphoma, multiple myeloma, and leukemia. Most of the preclinical in vitro and in vivo studies have reported a significant benefit of both mCHEMO monotherapy and combinatorial regimens compared with chemotherapy at the maximum tolerated dose. However, the combination of mCHEMO with targeted drugs is still little explored in the hematologic clinical setting. Data obtained from preclinical studies on low dose metronomic chemotherapy in hematological malignancies clearly suggested the possibility to clinically investigate more tolerable and effective strategies for the treatment of patients with advanced hematological malignancies, or at least for those frail and elderly patients, who are not eligible or resistant to standard treatments.
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Affiliation(s)
- Marta Banchi
- Dipartimento di Medicina Clinica e Sperimentale, Università di Pisa, Pisa, Italy
| | | | - Guido Bocci
- Dipartimento di Medicina Clinica e Sperimentale, Università di Pisa, Pisa, Italy.
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4
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Monick S, Rosenthal A. Circulating Tumor DNA as a Complementary Prognostic Biomarker during CAR-T Therapy in B-Cell Non-Hodgkin Lymphomas. Cancers (Basel) 2024; 16:1881. [PMID: 38791959 PMCID: PMC11120115 DOI: 10.3390/cancers16101881] [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: 03/29/2024] [Revised: 05/09/2024] [Accepted: 05/10/2024] [Indexed: 05/26/2024] Open
Abstract
The emergence of CD19-directed chimeric antigen receptor T-cell (CAR-T) therapy has revolutionized the treatment paradigm for R/R B-cell NHLs. However, challenges persist in accurately evaluating treatment response and detecting early relapse, necessitating the exploration of novel biomarkers. Circulating tumor DNA (ctDNA) via liquid biopsy is a non-invasive tool for monitoring therapy efficacy and predicting treatment outcomes in B-NHL following CAR-T therapy. By overcoming the limitations of conventional imaging modalities, ctDNA assessments offer valuable insights into response dynamics, molecular mechanisms of resistance, and early detection of molecular relapse. Integration of ctDNA monitoring into clinical practice holds promise for personalized therapeutic strategies, guiding the development of novel targeted therapies, and enhancing patient outcomes. However, standardization of assay methodologies and consensus on clinical response metrics are imperative to unlock the full potential of ctDNA in the management of B-NHL. Prospective validation of ctDNA in clinical trials is necessary to establish its role as a complementary decision aid.
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Affiliation(s)
- Sarah Monick
- Department of Medicine, Mayo Clinic Arizona, Phoenix, AZ 85054, USA;
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5
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Sánchez-Beato M, Méndez M, Guirado M, Pedrosa L, Sequero S, Yanguas-Casás N, de la Cruz-Merino L, Gálvez L, Llanos M, García JF, Provencio M. A genetic profiling guideline to support diagnosis and clinical management of lymphomas. Clin Transl Oncol 2024; 26:1043-1062. [PMID: 37672206 PMCID: PMC11026206 DOI: 10.1007/s12094-023-03307-1] [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: 06/27/2023] [Accepted: 08/09/2023] [Indexed: 09/07/2023]
Abstract
The new lymphoma classifications (International Consensus Classification of Mature Lymphoid Neoplasms, and 5th World Health Organization Classification of Lymphoid Neoplasms) include genetics as an integral part of lymphoma diagnosis, allowing better lymphoma subclassification, patient risk stratification, and prediction of treatment response. Lymphomas are characterized by very few recurrent and disease-specific mutations, and most entities have a heterogenous genetic landscape with a long tail of recurrently mutated genes. Most of these occur at low frequencies, reflecting the clinical heterogeneity of lymphomas. Multiple studies have identified genetic markers that improve diagnostics and prognostication, and next-generation sequencing is becoming an essential tool in the clinical laboratory. This review provides a "next-generation sequencing" guide for lymphomas. It discusses the genetic alterations of the most frequent mature lymphoma entities with diagnostic, prognostic, and predictive potential and proposes targeted sequencing panels to detect mutations and copy-number alterations for B- and NK/T-cell lymphomas.
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Affiliation(s)
- Margarita Sánchez-Beato
- Servicio de Oncología Médica, Grupo de Investigación en Linfomas, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain.
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas-GOTEL, Madrid, Spain.
| | - Miriam Méndez
- Servicio de Oncología Médica, Grupo de Investigación en Linfomas, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas-GOTEL, Madrid, Spain
- Servicio de Oncología Médica, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
| | - María Guirado
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas-GOTEL, Madrid, Spain
- Servicio de Oncología Médica, Hospital General Universitario de Elche, Alicante, Spain
| | - Lucía Pedrosa
- Servicio de Oncología Médica, Grupo de Investigación en Linfomas, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
| | - Silvia Sequero
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas-GOTEL, Madrid, Spain
- Servicio de Oncología Médica, Hospital Universitario San Cecilio, Granada, Spain
| | - Natalia Yanguas-Casás
- Servicio de Oncología Médica, Grupo de Investigación en Linfomas, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
| | - Luis de la Cruz-Merino
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas-GOTEL, Madrid, Spain
- Servicio de Oncología Médica, Facultad de Medicina, Hospital Universitario Virgen Macarena, Universidad de Sevilla, Instituto de Biomedicina de Sevilla (IBID)/CSIC, Seville, Spain
| | - Laura Gálvez
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas-GOTEL, Madrid, Spain
- Unidad de Gestión Clínica Intercentros de Oncología Médica, Hospitales Universitarios Regional y Virgen de la Victoria, Málaga, Spain
| | - Marta Llanos
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas-GOTEL, Madrid, Spain
- Servicio de Oncología Médica, Hospital Universitario de Canarias, La Laguna, Sta. Cruz de Tenerife, Spain
| | - Juan Fernando García
- Servicio de Anatomía Patológica, Hospital MD Anderson Cancer Center, Madrid, Spain
| | - Mariano Provencio
- Servicio de Oncología Médica, Grupo de Investigación en Linfomas, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas-GOTEL, Madrid, Spain
- Servicio de Oncología Médica, Departamento de Medicina, Facultad de Medicina, Hospital Universitario Puerta de Hierro-Majadahonda, Universidad Autónoma de Madrid, IDIPHISA, Madrid, Spain
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6
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Li L, Shou L. Prognostic and clinicopathological significance of the Controlling Nutritional Status (CONUT) score in patients with lymphoma: a meta-analysis. BMJ Open 2024; 14:e078320. [PMID: 38453197 PMCID: PMC10921528 DOI: 10.1136/bmjopen-2023-078320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 02/27/2024] [Indexed: 03/09/2024] Open
Abstract
OBJECTIVES The role of the Controlling Nutritional Status (CONUT) scores in predicting the prognosis of lymphoma cases has been extensively explored, with no consistent results. The present meta-analysis focused on accurately evaluating whether CONUT could be used to predict the prognosis of lymphoma cases and its clinicopathological value. DESIGN The present meta-analysis was reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The prognostic significance of CONUT to overall survival (OS) and progression-free survival (PFS) in lymphoma was estimated by calculating pooled HRs with 95% CIs. The relationship between CONUT and clinicopathological characteristics was measured based on pooled ORs with 95% CIs. DATA SOURCES PubMed, Web of Science, Embase and Cochrane Library databases were comprehensively searched from inception through 24 March 2023. STATISTICAL METHODS Either a random-effects model or a fixed-effects model was selected depending on the level of heterogeneity among the included studies. RESULTS This meta-analysis enrolled seven articles, containing 2060 patients with lymphoma. According to the pooled analysis, a higher CONUT score significantly predicted poor OS (HR=1.94, 95% CI 1.46 to 2.57, p<0.001) as well as poorer PFS (HR=1.51, 95% CI 1.04 to 2.20, p=0.031). Furthermore, according to the combined analysis, a higher CONUT score was significantly associated with Ann Arbor stages III-IV (OR=3.75, 95% CI 2.96 to 4.75, p<0.001), an Eastern Cooperative Oncology Group performance status of 2-4 (OR=5.14, 95% CI 3.97 to 6.65, p<0.001), high-intermediate/high National Comprehensive Cancer Network International Prognostic Index (OR=8.05, 95% CI 5.11 to 12.66, p<0.001), B symptoms (OR=4.97, 95% CI 2.89 to 8.52, p<0.001), extranodal disease (OR=3.25, 95% CI 2.24 to 4.70, p<0.001), bone marrow involvement (OR=4.86, 95% CI 3.25 to 7.27, p<0.001) and elevated lactate dehydrogenase levels (OR=3.21, 95% CI 2.37 to 4.34, p<0.001). CONCLUSIONS According to our results, higher CONUT scores were significantly associated with poor OS and PFS in lymphoma.
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Affiliation(s)
- Lili Li
- Clinical Laboratory, Huzhou Central Hospital, Affiliated Central Hospital of Huzhou University, The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, China
| | - Lihong Shou
- Department of Hematology, Huzhou Central Hospital, Affiliated Central Hospital of Huzhou University, The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, China
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7
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Kelly KM, Friedberg JW. Classic Hodgkin Lymphoma in Adolescents and Young Adults. J Clin Oncol 2024; 42:653-664. [PMID: 37983570 DOI: 10.1200/jco.23.01799] [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: 08/18/2023] [Revised: 08/28/2023] [Accepted: 09/20/2023] [Indexed: 11/22/2023] Open
Abstract
Hodgkin lymphoma (HL) represents one of the more common cancers occurring in adolescent and young adults (AYAs) age 15-39 years. Despite a generally high cure rate, age-related differences in HL biology and the optimal therapeutic approaches including supportive care and risks for long-term adverse effects in the AYA population remain understudied. After an overview of HL epidemiology and biology in the AYA population, this review will cover frontline pediatric and adult treatment approaches. Recently completed and ongoing studies will foster harmonization of risk group definition and trial eligibility criteria across the AYA spectrum, enabling more rapid progress. In addition to treatment approaches, an evolving holistic care approach to AYA HL will result in enhanced understanding of unique challenges, and continued improved short- and long-term outcome for these patients.
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Affiliation(s)
- Kara M Kelly
- Department of Pediatrics, Roswell Park Comprehensive Cancer Center., Buffalo, NY
- Division of Pediatric Hematology/Oncology, University at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY
- Pediatric Hematology/Oncology, Oishei Children's Hospital, Buffalo, NY
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8
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Winter JN, Ferreri AJM. Predicting outcomes in CNS lymphoma with ctDNA. Blood 2024; 143:478-480. [PMID: 38329774 DOI: 10.1182/blood.2023023008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2024] Open
Affiliation(s)
| | - Andres J M Ferreri
- Istituto di Ricerca e Cura a Carattere Scientifico Ospedale San Raffaele
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9
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Calabretta E, di Trani M, Corrado F, Sollini M, Cristaldi V, Marino F, Terzi di Bergamo L, Bruscaggin A, Pirosa MC, Bramanti S, Chiti A, Rossi D, Carlo-Stella C. Baseline circulating tumour DNA and interim PET predict response in relapsed/refractory classical Hodgkin lymphoma. Br J Haematol 2024; 204:514-524. [PMID: 37853658 DOI: 10.1111/bjh.19162] [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: 08/13/2023] [Revised: 10/06/2023] [Accepted: 10/08/2023] [Indexed: 10/20/2023]
Abstract
Reliable biomarkers for early identification of treatment failure in relapsed/refractory (r/r) classical Hodgkin lymphoma (cHL) are lacking. Circulating tumour DNA (ctDNA) profiling has emerged as a powerful predictive and prognostic tool in several haemopoietic and non-haemopoietic malignancies and may guide rational treatment choices in r/r cHL. To assess the predictive and prognostic value of ctDNA, we performed a retrospective analysis on 55 r/r cHL patients treated with the bendamustine, gemcitabine and vinorelbine (BEGEV) regimen and additionally evaluated the potential utility of integrating ctDNA with interim [18 F]-FDG positron emission tomography (iPET). Baseline ctDNA genotyping in r/r cHL mirrored gene mutations and pathways involved in newly diagnosed cHL. We found that baseline ctDNA quantification and serial ctDNA monitoring have prognostic value in r/r cHL receiving salvage chemotherapy. Lastly, integrating ctDNA quantification with iPET evaluation may improve the early identification of patients at high risk of failing standard salvage therapy, who may benefit from an early switch to immunotherapeutic agents. Collectively, our results support the implementation of non-invasive methods to detect minimal residual disease in recurrent cHL and justify its prospective evaluation in appropriately designed clinical trials.
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Affiliation(s)
- Eleonora Calabretta
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Department of Oncology and Hematology, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Martina di Trani
- Department of Oncology and Hematology, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Francesco Corrado
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Department of Oncology and Hematology, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Martina Sollini
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Nuclear Medicine, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Vanessa Cristaldi
- Department of Oncology and Hematology, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Fabrizio Marino
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Department of Oncology and Hematology, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Lodovico Terzi di Bergamo
- Laboratory of Experimental Hematology, Institute of Oncology Research, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Alessio Bruscaggin
- Laboratory of Experimental Hematology, Institute of Oncology Research, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Maria Cristina Pirosa
- Laboratory of Experimental Hematology, Institute of Oncology Research, Università della Svizzera Italiana, Bellinzona, Switzerland
- Clinic of Hematology, Oncology Institute of Southern Switzerland, Bellinzona, Switzerland
| | - Stefania Bramanti
- Department of Oncology and Hematology, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Arturo Chiti
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Nuclear Medicine, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Davide Rossi
- Laboratory of Experimental Hematology, Institute of Oncology Research, Università della Svizzera Italiana, Bellinzona, Switzerland
- Clinic of Hematology, Oncology Institute of Southern Switzerland, Bellinzona, Switzerland
| | - Carmelo Carlo-Stella
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Department of Oncology and Hematology, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
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10
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Fend F, van den Brand M, Groenen PJ, Quintanilla-Martinez L, Bagg A. Diagnostic and prognostic molecular pathology of lymphoid malignancies. Virchows Arch 2024; 484:195-214. [PMID: 37747559 PMCID: PMC10948535 DOI: 10.1007/s00428-023-03644-0] [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: 08/03/2023] [Revised: 08/28/2023] [Accepted: 09/01/2023] [Indexed: 09/26/2023]
Abstract
With the explosion in knowledge about the molecular landscape of lymphoid malignancies and the increasing availability of high throughput techniques, molecular diagnostics in hematopathology has moved from isolated marker studies to a more comprehensive approach, integrating results of multiple genes analyzed with a variety of techniques on the DNA and RNA level. Although diagnosis of lymphoma still relies on the careful integration of clinical, morphological, phenotypic, and, if necessary molecular features, and only few entities are defined strictly by genetic features, genetic profiling has contributed profoundly to our current understanding of lymphomas and shaped the two current lymphoma classifications, the International Consensus Classification and the fifth edition of the WHO classification of lymphoid malignancies. In this review, the current state of the art of molecular diagnostics in lymphoproliferations is summarized, including clonality analysis, mutational studies, and gene expression profiling, with a focus on practical applications for diagnosis and prognostication. With consideration for differences in accessibility of high throughput techniques and cost limitations, we tried to distinguish between diagnostically relevant and in part disease-defining molecular features and optional, more extensive genetic profiling, which is usually restricted to clinical studies, patients with relapsed or refractory disease or specific therapeutic decisions. Although molecular diagnostics in lymphomas currently is primarily done for diagnosis and subclassification, prognostic stratification and predictive markers will gain importance in the near future.
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Affiliation(s)
- Falko Fend
- Institute of Pathology and Neuropathology and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany.
| | - Michiel van den Brand
- Pathology-DNA, Location Rijnstate Hospital, Arnhem, the Netherlands
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Patricia Jta Groenen
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Leticia Quintanilla-Martinez
- Institute of Pathology and Neuropathology and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) 'Image Guided and Functionally Instructed Tumor Therapies', Eberhard Karls University Tübingen, Tübingen, Germany
| | - Adam Bagg
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
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Abstract
Lymphoid neoplasms represent a heterogeneous group of disease entities and subtypes with markedly different molecular and clinical features. Beyond genetic alterations, lymphoid tumors also show widespread epigenomic changes. These severely affect the levels and distribution of DNA methylation, histone modifications, chromatin accessibility, and three-dimensional genome interactions. DNA methylation stands out as a tracer of cell identity and memory, as B cell neoplasms show epigenetic imprints of their cellular origin and proliferative history, which can be quantified by an epigenetic mitotic clock. Chromatin-associated marks are informative to uncover altered regulatory regions and transcription factor networks contributing to the development of distinct lymphoid tumors. Tumor-intrinsic epigenetic and genetic aberrations cooperate and interact with microenvironmental cells to shape the transcriptome at different phases of lymphoma evolution, and intraclonal heterogeneity can now be characterized by single-cell profiling. Finally, epigenetics offers multiple clinical applications, including powerful diagnostic and prognostic biomarkers as well as therapeutic targets.
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Affiliation(s)
- Martí Duran-Ferrer
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain;
| | - José Ignacio Martín-Subero
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain;
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
- Departamento de Fundamentos Clínicos, Universitat de Barcelona, Barcelona, Spain
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12
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Yu D, Wang J, Zheng B, Yuan M, Gu D, Chen R, Chen X. Comprehensive genomic profiling of small bowel adenocarcinoma by tissue and plasma biopsy. Genomics 2024; 116:110766. [PMID: 38141930 DOI: 10.1016/j.ygeno.2023.110766] [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: 08/21/2023] [Revised: 12/14/2023] [Accepted: 12/18/2023] [Indexed: 12/25/2023]
Abstract
Small bowel adenocarcinoma (SBA) is a rare and aggressive malignancy with limited treatment options and poor prognosis. The molecular landscape and immunological characteristics of SBA are poorly understood. Here, we performed comprehensive mutation profiling of tissue and plasma biopsies from 143 and 42 patients with SBA. Analysis showed that SBA had a distinct mutation spectrum from left- and right-sided colorectal carcinoma. Plasma biopsy had high concordance with tissue biopsy for single nucleotide variants and structural variants, but low concordance for copy number variations, which showed that plasma biopsy can be an alternative to tissue biopsy. Moreover, we analyzed the association of TMB with clinical and molecular features, and found that TMB was significantly higher in tumors with DNA damage response alterations. Our findings provide valuable insights into the molecular and immunological features of SBA and demonstrate the potential of plasma biopsy as a non-invasive method for SBA diagnosis and treatment.
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Affiliation(s)
- Dan Yu
- The Second Xiangya Hospital of Central South University, Hunan 410011, China
| | - Jianzheng Wang
- Department of Oncology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Precision Therapy of Gastrointestinal Cancer & Zhengzhou Key Laboratory for Precision Therapy of Gastrointestinal Cancer, Zhengzhou 450008, China
| | - Bo Zheng
- Geneplus-Beijing, Beijing 102206, China.
| | | | - Dejian Gu
- Geneplus-Beijing, Beijing 102206, China
| | | | - Xiaobing Chen
- Department of Oncology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Precision Therapy of Gastrointestinal Cancer & Zhengzhou Key Laboratory for Precision Therapy of Gastrointestinal Cancer, Zhengzhou 450008, China.
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13
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Kim JJ, Kim HM, Kim H, Kim SJ, Lee ST, Choi JR, Shin S, Hwang DY. Circulating Tumor DNA Reflects Histologic and Clinical Characteristics of Various Lymphoma Subtypes. Cancer Res Treat 2024; 56:314-323. [PMID: 37475138 PMCID: PMC10789961 DOI: 10.4143/crt.2023.667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 07/15/2023] [Indexed: 07/22/2023] Open
Abstract
PURPOSE We designed and evaluated the clinical performance of a plasma circulating tumor DNA (ctDNA) panel of 112 genes in various subtypes of lymphoma. MATERIALS AND METHODS Targeted deep sequencing with an error-corrected algorithm was performed in ctDNA from plasma samples that were collected before treatment in 42 lymphoma patients. Blood buffy coat was utilized as a germline control. We evaluated the targeted gene panel using mutation detection concordance on the plasma samples with matched tissue samples analyzed the mutation profiles of the ctDNA. RESULTS Next-generation sequencing analysis using matched tissue samples was available for 18 of the 42 patients. At least one mutation was detected in the majority of matched tissue biopsy samples (88.9%) and plasma samples (83.3%). A considerable number of mutations (40.4%) that were detected in the tissue samples were also found in the matched plasma samples. Majority of patients (21/42) were diffuse large B cell lymphoma patients. The overall detection rate of ctDNA in patients was 85.7% (36/42). The frequently mutated genes included PIM1, TET2, BCL2, KMT2D, KLHL6, HIST1H1E, and IRF8. A cutoff concentration (4,506 pg/mL) of ctDNA provided 88.9% sensitivity and 82.1% specificity to predict ctDNA mutation detection. The ctDNA concentration correlated with elevated lactate dehydrogenase level and the disease stage. CONCLUSION Our design panel can detect many actionable gene mutations, including those at low frequency. Therefore, liquid biopsy can be applied clinically in the evaluation of lymphoma patients, especially in aggressive lymphoma patients.
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Affiliation(s)
- Jin Ju Kim
- Department of Laboratory Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Hye Min Kim
- Department of Pathology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Hongkyung Kim
- Department of Laboratory Medicine, Chung-Ang University Gwangmyung Hospital, Chung-Ang University College of Medicine, Gwangmyeong, Korea
| | - Soo-Jeong Kim
- Division of Hemato-Oncology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Seung-Tae Lee
- Department of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Rak Choi
- Department of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Saeam Shin
- Department of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Doh Yu Hwang
- Division of Hematology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
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14
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Dean EA, Kimmel GJ, Frank MJ, Bukhari A, Hossain NM, Jain MD, Dahiya S, Miklos DB, Altrock PM, Locke FL. Circulating tumor DNA adds specificity to PET after axicabtagene ciloleucel in large B-cell lymphoma. Blood Adv 2023; 7:4608-4618. [PMID: 37126659 PMCID: PMC10448428 DOI: 10.1182/bloodadvances.2022009426] [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: 11/28/2022] [Revised: 03/07/2023] [Accepted: 03/30/2023] [Indexed: 05/03/2023] Open
Abstract
We examined the meaning of metabolically active lesions on 1-month restaging nuclear imaging of patients with relapsed/refractory large B-cell lymphoma receiving axicabtagene ciloleucel (axi-cel) by assessing the relationship between total metabolic tumor volume (MTV) on positron emission tomography (PET) scans and circulating tumor DNA (ctDNA) in the plasma. In this prospective multicenter sample collection study, MTV was retrospectively calculated via commercial software at baseline, 1, and 3 months after chimeric antigen receptor (CAR) T-cell therapy; ctDNA was available before and after axi-cel administration. Spearman correlation coefficient (rs) was used to study the relationship between the variables, and a mathematical model was constructed to describe tumor dynamics 1 month after CAR T-cell therapy. The median time between baseline scan and axi-cel infusion was 33 days (range, 1-137 days) for all 57 patients. For 41 of the patients with imaging within 33 days of axi-cel or imaging before that time but no bridging therapy, the correlation at baseline became stronger (rs, 0.61; P < .0001) compared with all patients (rs, 0.38; P = .004). Excluding patients in complete remission with no measurable residual disease, ctDNA and MTV at 1 month did not correlate (rs, 0.28; P = .11) but correlated at 3 months (rs, 0.79; P = .0007). Modeling of tumor dynamics, which incorporated ctDNA and inflammation as part of MTV, recapitulated the outcomes of patients with positive radiologic 1-month scans. Our results suggested that nonprogressing hypermetabolic lesions on 1-month PET represent ongoing treatment responses, and their composition may be elucidated by concurrently examining the ctDNA.
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Affiliation(s)
- Erin A. Dean
- Department of Blood and Marrow Transplant and Cellular Immunotherapy, H. Lee Moffitt Cancer and Research Institute, Tampa, FL
- Division of Hematology and Oncology, Department of Medicine, University of Florida, Gainesville, FL
| | - Gregory J. Kimmel
- Department of Integrated Mathematical Oncology, Moffitt Research Institute, Tampa, FL
| | - Matthew J. Frank
- Division of Blood and Stem Cell Transplantation, Department of Medicine, Stanford University, Stanford, CA
| | - Ali Bukhari
- Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD
- Division of Hematology and Oncology, Department of Internal Medicine, Wright-Patterson Medical Center, Wright-Patterson Air Force Base, OH
| | - Nasheed M. Hossain
- Cell Therapy and Transplant Program, Division of Hematology/Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Michael D. Jain
- Department of Blood and Marrow Transplant and Cellular Immunotherapy, H. Lee Moffitt Cancer and Research Institute, Tampa, FL
| | - Saurabh Dahiya
- Division of Blood and Stem Cell Transplantation, Department of Medicine, Stanford University, Stanford, CA
- Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD
| | - David B. Miklos
- Division of Blood and Stem Cell Transplantation, Department of Medicine, Stanford University, Stanford, CA
| | - Philipp M. Altrock
- Department of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Ploen, Germany
| | - Frederick L. Locke
- Department of Blood and Marrow Transplant and Cellular Immunotherapy, H. Lee Moffitt Cancer and Research Institute, Tampa, FL
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15
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Alderuccio JP, Lossos IS. Enhancing prognostication and personalizing treatment of extranodal marginal zone lymphoma. Expert Rev Hematol 2023; 16:333-348. [PMID: 37086394 PMCID: PMC10183153 DOI: 10.1080/17474086.2023.2206557] [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: 01/07/2023] [Accepted: 04/20/2023] [Indexed: 04/23/2023]
Abstract
INTRODUCTION Extranodal marginal zone lymphoma (EMZL) of mucosa-associated lymphoid tissue is an indolent lymphoma originating from marginal zone B-cells and associated with chronic inflammation. EMZL demonstrates distinct genomic alterations according to the primary extranodal site of disease but commonly affects signaling pathways including NF-ĸB, B-cell receptor, and NOTCH. Treatment with radiation therapy is commonly implemented in localized diseases, and multiple agents are available for patients with advanced-stage diseases in need of therapy. Bendamustine with rituximab is a frontline platform associated with high efficacy. AREAS COVERED Clinical features, diagnosis, genomics, models enabling risk stratification, treatment options, and future directions. EXPERT OPINION The lack of consistent genotyping profile in EMZL precludes the development of tissue and circulatory biomarkers for the diagnosis, risk stratification, and monitoring of minimal residual disease. Furthermore, the biological heterogeneity observed in extranodal sites associated with overall limited genomic data prevents the testing of druggable pathways aiming for a personalized treatment approach. Future clinical trials should focus on EMZL considering the unique clinical characteristics in the eligibility criteria and response assessment to better inform efficacy of novel agents and delineate sequences of therapies.
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Affiliation(s)
| | - Izidore S. Lossos
- Department of Medicine, Division of Hematology
- Department of Molecular and Cellular Pharmacology, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
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16
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Talotta D, Almasri M, Cosentino C, Gaidano G, Moia R. Liquid biopsy in hematological malignancies: current and future applications. Front Oncol 2023; 13:1164517. [PMID: 37152045 PMCID: PMC10157039 DOI: 10.3389/fonc.2023.1164517] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 04/03/2023] [Indexed: 05/09/2023] Open
Abstract
The assessment of the cancer mutational profile is crucial for patient management, stratification, and therapeutic decisions. At present, in hematological malignancies with a solid mass, such as lymphomas, tumor genomic profiling is generally performed on the tissue biopsy, but the tumor may harbor genetic lesions that are unique to other anatomical compartments. The analysis of circulating tumor DNA (ctDNA) on the liquid biopsy is an emerging approach that allows genotyping and monitoring of the disease during therapy and follow-up. This review presents the different methods for ctDNA analysis and describes the application of liquid biopsy in different hematological malignancies. In diffuse large B-cell lymphoma (DLBCL) and Hodgkin lymphoma (HL), ctDNA analysis on the liquid biopsy recapitulates the mutational profile of the tissue biopsy and can identify mutations otherwise absent on the tissue biopsy. In addition, changes in the ctDNA amount after one or two courses of chemotherapy significantly predict patient outcomes. ctDNA analysis has also been tested in myeloid neoplasms with promising results. In addition to mutational analysis, liquid biopsy also carries potential future applications of ctDNA, including the analysis of ctDNA fragmentation and epigenetic patterns. On these grounds, several clinical trials aiming at incorporating ctDNA analysis for treatment tailoring are currently ongoing in hematological malignancies.
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Affiliation(s)
| | | | | | | | - Riccardo Moia
- Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale, Novara, Italy
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17
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Liang X, Hu R, Li Q, Wang C, Liu Y. Prognostic factors for diffuse large B-cell lymphoma: clinical and biological factors in the rituximab era. Exp Hematol 2023:S0301-472X(23)00071-1. [PMID: 36933759 DOI: 10.1016/j.exphem.2023.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 03/10/2023] [Accepted: 03/10/2023] [Indexed: 03/18/2023]
Affiliation(s)
- Xiping Liang
- Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing, China
| | - Renzhi Hu
- Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing, China
| | - Qiying Li
- Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing, China
| | - Chaoyu Wang
- Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing, China
| | - Yao Liu
- Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing, China.
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18
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Assanto GM, Del Giudice I, Della Starza I, Soscia R, Cavalli M, Cola M, Bellomarino V, Di Trani M, Guarini A, Foà R. Research Topic: Measurable Residual Disease in Hematologic Malignancies. Can digital droplet PCR improve measurable residual disease monitoring in chronic lymphoid malignancies? Front Oncol 2023; 13:1152467. [PMID: 36998457 PMCID: PMC10043164 DOI: 10.3389/fonc.2023.1152467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 03/01/2023] [Indexed: 03/17/2023] Open
Abstract
Minimal/measurable residual disease (MRD) monitoring is progressively changing the management of hematologic malignancies. The possibility of detecting the persistence/reappearance of disease in patients in apparent clinical remission offers a refined risk stratification and a treatment decision making tool. Several molecular techniques are employed to monitor MRD, from conventional real-time quantitative polymerase chain reaction (RQ-PCR) to next generation sequencing and digital droplet PCR (ddPCR), in different tissues or compartments through the detection of fusion genes, immunoglobulin and T-cell receptor gene rearrangements or disease-specific mutations. RQ-PCR is still the gold standard for MRD analysis despite some limitations. ddPCR, considered the third-generation PCR, yields a direct, absolute, and accurate detection and quantification of low-abundance nucleic acids. In the setting of MRD monitoring it carries the major advantage of not requiring a reference standard curve built with the diagnostic sample dilution and of allowing to reduce the number of samples below the quantitative range. At present, the broad use of ddPCR to monitor MRD in the clinical practice is limited by the lack of international guidelines. Its application within clinical trials is nonetheless progressively growing both in acute lymphoblastic leukemia as well as in chronic lymphocytic leukemia and non-Hodgkin lymphomas. The aim of this review is to summarize the accumulating data on the use of ddPCR for MRD monitoring in chronic lymphoid malignancies and to highlight how this new technique is likely to enter into the clinical practice.
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Affiliation(s)
| | - Ilaria Del Giudice
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
- *Correspondence: Ilaria Del Giudice, ; Robin Foà,
| | - Irene Della Starza
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
- Gruppo Italiano Malattie Ematologiche dell'Adulto (GIMEMA), Fondazione GIMEMA Franco Mandelli Onlus, Rome, Italy
| | - Roberta Soscia
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Marzia Cavalli
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Mattia Cola
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Vittorio Bellomarino
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Mariangela Di Trani
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Anna Guarini
- Department of Molecular Medicine, Sapienza University, Rome, Italy
| | - Robin Foà
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
- *Correspondence: Ilaria Del Giudice, ; Robin Foà,
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19
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Jiménez-Ubieto A, Poza M, Martin-Muñoz A, Ruiz-Heredia Y, Dorado S, Figaredo G, Rosa-Rosa JM, Rodriguez A, Barcena C, Navamuel LP, Carrillo J, Sanchez R, Rufian L, Juárez A, Rodriguez M, Wang C, de Toledo P, Grande C, Mollejo M, Casado LF, Calbacho M, Baumann T, Rapado I, Gallardo M, Sarandeses P, Ayala R, Martínez-López J, Barrio S. Real-life disease monitoring in follicular lymphoma patients using liquid biopsy ultra-deep sequencing and PET/CT. Leukemia 2023; 37:659-669. [PMID: 36596983 DOI: 10.1038/s41375-022-01803-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 12/09/2022] [Accepted: 12/19/2022] [Indexed: 01/05/2023]
Abstract
In the present study, we screened 84 Follicular Lymphoma patients for somatic mutations suitable as liquid biopsy MRD biomarkers using a targeted next-generation sequencing (NGS) panel. We found trackable mutations in 95% of the lymph node samples and 80% of the liquid biopsy baseline samples. Then, we used an ultra-deep sequencing approach with 2 · 10-4 sensitivity (LiqBio-MRD) to track those mutations on 151 follow-up liquid biopsy samples from 54 treated patients. Positive LiqBio-MRD at first-line therapy correlated with a higher risk of progression both at the interim evaluation (HRINT 11.0, 95% CI 2.10-57.7, p = 0.005) and at the end of treatment (HREOT, HR 19.1, 95% CI 4.10-89.4, p < 0.001). Similar results were observed by PET/CT Deauville score, with a median PFS of 19 months vs. NR (p < 0.001) at the interim and 13 months vs. NR (p < 0.001) at EOT. LiqBio-MRD and PET/CT combined identified the patients that progressed in less than two years with 88% sensitivity and 100% specificity. Our results demonstrate that LiqBio-MRD is a robust and non-invasive approach, complementary to metabolic imaging, for identifying FL patients at high risk of failure during the treatment and should be considered in future response-adapted clinical trials.
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Affiliation(s)
- Ana Jiménez-Ubieto
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain.
| | - María Poza
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain
| | | | - Yanira Ruiz-Heredia
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain.,Altum sequencing Co., Madrid, Spain
| | - Sara Dorado
- Altum sequencing Co., Madrid, Spain.,Computational Science Department, Carlos III University, Madrid, Spain
| | | | - Juan Manuel Rosa-Rosa
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain
| | - Antonia Rodriguez
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain
| | - Carmen Barcena
- Hospital Universitario 12 de Octubre, Departamento de Anatomía Patológica, Madrid, Spain
| | | | | | - Ricardo Sanchez
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain.,Altum sequencing Co., Madrid, Spain
| | - Laura Rufian
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain.,Altum sequencing Co., Madrid, Spain
| | - Alexandra Juárez
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain.,Altum sequencing Co., Madrid, Spain
| | - Margarita Rodriguez
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain.,Altum sequencing Co., Madrid, Spain
| | - Chongwu Wang
- Hosea Precision Medical Technology Co., Ltd., Weihai, Shangdong, China
| | - Paula de Toledo
- Computational Science Department, Carlos III University, Madrid, Spain
| | | | | | | | - María Calbacho
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain
| | - Tycho Baumann
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain
| | - Inmaculada Rapado
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain
| | - Miguel Gallardo
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain.,H12O-CNIO Haematological Malignancies Clinical Research Unit, CNIO, Madrid, Spain
| | - Pilar Sarandeses
- Hospital Universitario 12 de Octubre, Departamento de Medicina Nuclear, Madrid, Spain
| | - Rosa Ayala
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain
| | - Joaquín Martínez-López
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain
| | - Santiago Barrio
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain. .,Altum sequencing Co., Madrid, Spain.
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20
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Chokr N, Gomez-Arteaga A. Measurable Residual Disease After CAR T-Cell Therapy. Semin Hematol 2023; 60:34-41. [PMID: 37080709 DOI: 10.1053/j.seminhematol.2023.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 02/02/2023] [Accepted: 02/07/2023] [Indexed: 02/21/2023]
Abstract
Testing for measurable residual disease (MRD) provides important prognostic and predictive implications on survival and management of many hematologic diseases. Among the many clinical uses of MRD is post-therapy response assessment and risk stratification. With the integration of precision medicine in routine clinical care and the development of novel and innovative therapies resulting in deeper responses, it is necessary to refine the role of MRD, standardize available methodologies and define its role as a surrogate endpoint for relapse and time-to-next treatment in clinical studies. Chimeric Antigen Receptor (CAR) T-cell therapy is an approved treatment for various hematologic malignancies. Even though it produces high rates of remission, the durability of response is still a consideration as almost 40% to 50% of patients eventually relapse. MRD testing as a prognostic and surrogate marker is being explored in patients after CAR T-cell therapy to predict early relapse. In this chapter, we review the various tools available for MRD detection and monitoring post-CAR T-cell therapy. We later discuss disease-specific MRD assessment and its application in recent studies in the post-CAR T setting.
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21
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Kambhampati S, Zain J. Circulating Tumor DNA in Lymphoma. Curr Hematol Malig Rep 2022; 17:298-305. [PMID: 36214943 DOI: 10.1007/s11899-022-00677-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/16/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE OF REVIEW Recent advances have been made in circulating tumor DNA (ctDNA), the method to minimally invasive detect lymphoma sensitively with tumor-derived DNA in the blood of patients with lymphomas. This article discusses these various methods of ctDNA detection and the clinical context in which they have been applied to for a variety of lymphoma subtypes. RECENT FINDINGS ctDNA has been applied to a variety of subtypes of lymphoma and has been used in the context of genotyping somatic mutations and classification of disease, monitoring of response during treatment, detecting minimal residual disease even with radiographic remission, and predicting relapse and long-term survival outcomes. There are a variety of techniques used to measure ctDNA including digital polymerase chain reaction and next-generation sequencing techniques including high-throughput variable-diversity-joining rearrangement sequencing, high-throughput sequencing of somatic mutations, and Cancer Personalized Profiling by deep sequencing. While the greatest data has been generated in diffuse large B cell lymphoma, there have been studies utilizing application of ctDNA in follicular lymphoma, mantle cell lymphoma, Hodgkin's lymphoma, peripheral T cell lymphoma, and primary CNS lymphoma among others. ctDNA is an emerging biomarker in lymphoma that can minimally invasively provide further genotypic information, diagnostic clarification, and treatment prognostication by detection of minimal residual disease even without radiographic evidence of disease. Future studies are needed to standardize the use of ctDNA and translate its use clinically for the management of lymphoma patients.
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Affiliation(s)
| | - Jasmine Zain
- City of Hope National Medical Center, Duarte, CA, USA
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22
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Gong H, Tang B, Li T, Li J, Tang L, Ding C. The added prognostic values of baseline PET dissemination parameter in patients with angioimmunoblastic T-cell lymphoma. EJHAEM 2022; 4:67-77. [PMID: 36819177 PMCID: PMC9928789 DOI: 10.1002/jha2.610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/13/2022] [Accepted: 10/20/2022] [Indexed: 11/30/2022]
Abstract
To explore the prognostic values of baseline 2-deoxy-2-[18F] fluoro-D-glucose (FDG) positron emission tomography/computed tomography (PET/CT) dissemination parameter in angioimmunoblastic T-cell lymphoma (AITL) and its added values to total metabolic tumour volume (TMTV). Eighty-one AITL patients with at least two FDG-avid lesions in baseline PET/CT were retrospectively included. PET parameters including TMTV and the distance between the two lesions that are the furthest apart (Dmax) were obtained. Univariate Cox analysis showed that both Dmax and TMTV were risk factors for progression-free survival (PFS) and overall survival (OS). Multivariate Cox analysis models of different combinations showed that high Dmax (> 65.7 cm) could independently predict both PFS and OS, while high TMTV (>456.6 cm3) was only significant for OS. A concise PET model based on TMTV and Dmax can effectively risk-stratify patients. PFS and OS rates were significantly lower in patients with high Dmax and high TMTV than in patients with low Dmax and low TMTV (3-year PFS rate: 15.0% vs. 48.7%, p = 0.001; 3-year OS rate: 27.6% vs. 79.0%, p < 0.001). Dmax can directly reflect the disease dissemination characteristic and has a significant prognostic value for FDG-avid AITL patients. It has the potential to be introduced into new risk stratification models for tailored treatment.
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Affiliation(s)
- Huanyu Gong
- Department of Nuclear MedicineJiangsu Province HospitalThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Bo Tang
- Department of RadiologyShuyang Hospital of Traditional Chinese MedicineSuqianChina
| | - Tiannv Li
- Department of Nuclear MedicineJiangsu Province HospitalThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Jianyong Li
- Department of HematologyJiangsu Province HospitalThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Lijun Tang
- Department of Nuclear MedicineJiangsu Province HospitalThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Chongyang Ding
- Department of Nuclear MedicineJiangsu Province HospitalThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
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de Leval L, Alizadeh AA, Bergsagel PL, Campo E, Davies A, Dogan A, Fitzgibbon J, Horwitz SM, Melnick AM, Morice WG, Morin RD, Nadel B, Pileri SA, Rosenquist R, Rossi D, Salaverria I, Steidl C, Treon SP, Zelenetz AD, Advani RH, Allen CE, Ansell SM, Chan WC, Cook JR, Cook LB, d’Amore F, Dirnhofer S, Dreyling M, Dunleavy K, Feldman AL, Fend F, Gaulard P, Ghia P, Gribben JG, Hermine O, Hodson DJ, Hsi ED, Inghirami G, Jaffe ES, Karube K, Kataoka K, Klapper W, Kim WS, King RL, Ko YH, LaCasce AS, Lenz G, Martin-Subero JI, Piris MA, Pittaluga S, Pasqualucci L, Quintanilla-Martinez L, Rodig SJ, Rosenwald A, Salles GA, San-Miguel J, Savage KJ, Sehn LH, Semenzato G, Staudt LM, Swerdlow SH, Tam CS, Trotman J, Vose JM, Weigert O, Wilson WH, Winter JN, Wu CJ, Zinzani PL, Zucca E, Bagg A, Scott DW. Genomic profiling for clinical decision making in lymphoid neoplasms. Blood 2022; 140:2193-2227. [PMID: 36001803 PMCID: PMC9837456 DOI: 10.1182/blood.2022015854] [Citation(s) in RCA: 61] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 08/15/2022] [Indexed: 01/28/2023] Open
Abstract
With the introduction of large-scale molecular profiling methods and high-throughput sequencing technologies, the genomic features of most lymphoid neoplasms have been characterized at an unprecedented scale. Although the principles for the classification and diagnosis of these disorders, founded on a multidimensional definition of disease entities, have been consolidated over the past 25 years, novel genomic data have markedly enhanced our understanding of lymphomagenesis and enriched the description of disease entities at the molecular level. Yet, the current diagnosis of lymphoid tumors is largely based on morphological assessment and immunophenotyping, with only few entities being defined by genomic criteria. This paper, which accompanies the International Consensus Classification of mature lymphoid neoplasms, will address how established assays and newly developed technologies for molecular testing already complement clinical diagnoses and provide a novel lens on disease classification. More specifically, their contributions to diagnosis refinement, risk stratification, and therapy prediction will be considered for the main categories of lymphoid neoplasms. The potential of whole-genome sequencing, circulating tumor DNA analyses, single-cell analyses, and epigenetic profiling will be discussed because these will likely become important future tools for implementing precision medicine approaches in clinical decision making for patients with lymphoid malignancies.
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Affiliation(s)
- Laurence de Leval
- Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
| | - Ash A. Alizadeh
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA
- Stanford Cancer Institute, Stanford University, Stanford, CA
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA
- Division of Hematology, Department of Medicine, Stanford University, Stanford, CA
| | - P. Leif Bergsagel
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Phoenix, AZ
| | - Elias Campo
- Haematopathology Section, Hospital Clínic, Institut d'Investigaciones Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Andrew Davies
- Centre for Cancer Immunology, University of Southampton, Southampton, United Kingdom
| | - Ahmet Dogan
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jude Fitzgibbon
- Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Steven M. Horwitz
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ari M. Melnick
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | - William G. Morice
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Ryan D. Morin
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
- Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
- BC Cancer Centre for Lymphoid Cancer, Vancouver, BC, Canada
| | - Bertrand Nadel
- Aix Marseille University, CNRS, INSERM, CIML, Marseille, France
| | - Stefano A. Pileri
- Haematopathology Division, IRCCS, Istituto Europeo di Oncologia, IEO, Milan, Italy
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics, Karolinska University Laboratory, Karolinska University Hospital, Solna, Sweden
| | - Davide Rossi
- Institute of Oncology Research and Oncology Institute of Southern Switzerland, Faculty of Biomedical Sciences, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Itziar Salaverria
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Christian Steidl
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
| | | | - Andrew D. Zelenetz
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | - Ranjana H. Advani
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA
| | - Carl E. Allen
- Division of Pediatric Hematology-Oncology, Baylor College of Medicine, Houston, TX
| | | | - Wing C. Chan
- Department of Pathology, City of Hope National Medical Center, Duarte, CA
| | - James R. Cook
- Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH
| | - Lucy B. Cook
- Centre for Haematology, Imperial College London, London, United Kingdom
| | - Francesco d’Amore
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark
| | - Stefan Dirnhofer
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland
| | | | - Kieron Dunleavy
- Division of Hematology and Oncology, Georgetown Lombardi Comprehensive Cancer Centre, Georgetown University Hospital, Washington, DC
| | - Andrew L. Feldman
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Falko Fend
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | - Philippe Gaulard
- Department of Pathology, University Hospital Henri Mondor, AP-HP, Créteil, France
- Faculty of Medicine, IMRB, INSERM U955, University of Paris-Est Créteil, Créteil, France
| | - Paolo Ghia
- Università Vita-Salute San Raffaele and IRCCS Ospedale San Raffaele, Milan, Italy
| | - John G. Gribben
- Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Olivier Hermine
- Service D’hématologie, Hôpital Universitaire Necker, Université René Descartes, Assistance Publique Hôpitaux de Paris, Paris, France
| | - Daniel J. Hodson
- Wellcome MRC Cambridge Stem Cell Institute, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
| | - Eric D. Hsi
- Department of Pathology, Wake Forest School of Medicine, Winston-Salem, NC
| | - Giorgio Inghirami
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY
| | - Elaine S. Jaffe
- Hematopathology Section, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Kennosuke Karube
- Department of Pathology and Laboratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keisuke Kataoka
- Division of Molecular Oncology, National Cancer Center Research Institute, Toyko, Japan
- Division of Hematology, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Wolfram Klapper
- Hematopathology Section and Lymph Node Registry, Department of Pathology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Won Seog Kim
- Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, South Korea
| | - Rebecca L. King
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Young H. Ko
- Department of Pathology, Cheju Halla General Hospital, Jeju, Korea
| | | | - Georg Lenz
- Department of Medicine A, Hematology, Oncology and Pneumology, University Hospital Muenster, Muenster, Germany
| | - José I. Martin-Subero
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Miguel A. Piris
- Department of Pathology, Jiménez Díaz Foundation University Hospital, CIBERONC, Madrid, Spain
| | - Stefania Pittaluga
- Hematopathology Section, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Laura Pasqualucci
- Institute for Cancer Genetics, Columbia University, New York, NY
- Department of Pathology & Cell Biology, Columbia University, New York, NY
- The Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY
| | - Leticia Quintanilla-Martinez
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | - Scott J. Rodig
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
| | | | - Gilles A. Salles
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jesus San-Miguel
- Clínica Universidad de Navarra, Navarra, Cancer Center of University of Navarra, Cima Universidad de NavarraI, Instituto de Investigacion Sanitaria de Navarra, Centro de Investigación Biomédica en Red de Céncer, Pamplona, Spain
| | - Kerry J. Savage
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
| | - Laurie H. Sehn
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
| | - Gianpietro Semenzato
- Department of Medicine, University of Padua and Veneto Institute of Molecular Medicine, Padova, Italy
| | - Louis M. Staudt
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Steven H. Swerdlow
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | | | - Judith Trotman
- Haematology Department, Concord Repatriation General Hospital, Sydney, Australia
| | - Julie M. Vose
- Department of Internal Medicine, Division of Hematology-Oncology, University of Nebraska Medical Center, Omaha, NE
| | - Oliver Weigert
- Department of Medicine III, LMU Hospital, Munich, Germany
| | - Wyndham H. Wilson
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Jane N. Winter
- Feinberg School of Medicine, Northwestern University, Chicago, IL
| | | | - Pier L. Zinzani
- IRCCS Azienda Ospedaliero-Universitaria di Bologna Istitudo di Ematologia “Seràgnoli” and Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale Università di Bologna, Bologna, Italy
| | - Emanuele Zucca
- Institute of Oncology Research and Oncology Institute of Southern Switzerland, Faculty of Biomedical Sciences, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Adam Bagg
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - David W. Scott
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
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Tumor-intrinsic causes of CAR-T failure. Blood 2022; 140:414-415. [PMID: 35925642 PMCID: PMC9353152 DOI: 10.1182/blood.2022016851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 05/11/2022] [Indexed: 11/20/2022] Open
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Risk assessment with low pass whole genome sequencing of cell free DNA before CD19 CAR T-cells for large B-cell lymphoma. Blood 2022; 140:504-515. [PMID: 35512184 PMCID: PMC9353148 DOI: 10.1182/blood.2022015601] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 04/21/2022] [Indexed: 12/03/2022] Open
Abstract
FCS, defined by lpWGS of cfDNA, is associated with inferior outcomes in patients with LBCL treated with CAR T-cell therapy. FCS, LDH, and number of extranodal sites significantly stratified outcomes in a large single center cohort of CAR T cell–treated patients.
Patients with relapsed or refractory large B-cell lymphomas (rrLBCL) can achieve long-term remission after CD19 chimeric antigen receptor T-cell therapy (CART19). However, more than half of recipients will experience treatment failure. Thus, approaches are needed to identify high-risk patients who may benefit from alternative or consolidative therapy. We evaluated low-pass whole-genome sequencing (lpWGS) of cell-free DNA (cfDNA) before CART19 as a new approach for risk stratification. We performed lpWGS on pretreatment plasma samples from 122 patients at time of leukapheresis who received standard-of-care CART19 for rrLBCL to define DNA copy number alterations (CNAs). In multivariable selection, high focal CNA score (FCS) denoting genomic instability was the most significant pretreatment variable associated with inferior 3-month complete response rates (28% vs 56%, P = .0029), progression-free survival (PFS; P = .0007; hazard ratio, 2.11), and overall survival (OS; P = .0026; hazard ratio, 2.10). We identified 34 unique focal CNAs in 108 (89%) patients; of these, deletion 10q23.3 leading to loss of FAS death receptor was the most highly associated with poor outcomes, leading to inferior PFS (P < .0001; hazard ratio, 3.49) and OS (P = .0027; hazard ratio, 2.68). By combining FCS with traditional markers of increased tumor bulk (elevated lactate dehydrogenase and >1 extranodal site), we built a simple risk model that could reliably risk stratify patients. Thus, lpWGS of cfDNA is a minimally invasive assay that could rapidly identify high-risk patients and may guide patient selection for and targeted therapies to evaluate in future clinical trials.
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Lisson CS, Lisson CG, Achilles S, Mezger MF, Wolf D, Schmidt SA, Thaiss WM, Bloehdorn J, Beer AJ, Stilgenbauer S, Beer M, Götz M. Longitudinal CT Imaging to Explore the Predictive Power of 3D Radiomic Tumour Heterogeneity in Precise Imaging of Mantle Cell Lymphoma (MCL). Cancers (Basel) 2022; 14:393. [PMID: 35053554 PMCID: PMC8773890 DOI: 10.3390/cancers14020393] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 12/29/2021] [Accepted: 01/06/2022] [Indexed: 02/06/2023] Open
Abstract
The study's primary aim is to evaluate the predictive performance of CT-derived 3D radiomics for MCL risk stratification. The secondary objective is to search for radiomic features associated with sustained remission. Included were 70 patients: 31 MCL patients and 39 control subjects with normal axillary lymph nodes followed over five years. Radiomic analysis of all targets (n = 745) was performed and features selected using the Mann Whitney U test; the discriminative power of identifying "high-risk MCL" was evaluated by receiver operating characteristics (ROC). The four radiomic features, "Uniformity", "Entropy", "Skewness" and "Difference Entropy" showed predictive significance for relapse (p < 0.05)-in contrast to the routine size measurements, which showed no relevant difference. The best prognostication for relapse achieved the feature "Uniformity" (AUC-ROC-curve 0.87; optimal cut-off ≤0.0159 to predict relapse with 87% sensitivity, 65% specificity, 69% accuracy). Several radiomic features, including the parameter "Short Axis," were associated with sustained remission. CT-derived 3D radiomics improves the predictive estimation of MCL patients; in combination with the ability to identify potential radiomic features that are characteristic for sustained remission, it may assist physicians in the clinical management of MCL.
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Affiliation(s)
- Catharina Silvia Lisson
- Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Center for Personalized Medicine (ZPM), University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Artificial Intelligence in Experimental Radiology (XAIRAD), Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
| | - Christoph Gerhard Lisson
- Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
| | - Sherin Achilles
- Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
| | - Marc Fabian Mezger
- Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Artificial Intelligence in Experimental Radiology (XAIRAD), Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Visual Computing Group, Institute of Media Informatics, Ulm University, James-Franck-Ring, 89081 Ulm, Germany
| | - Daniel Wolf
- Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Artificial Intelligence in Experimental Radiology (XAIRAD), Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Visual Computing Group, Institute of Media Informatics, Ulm University, James-Franck-Ring, 89081 Ulm, Germany
| | - Stefan Andreas Schmidt
- Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Center for Personalized Medicine (ZPM), University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
| | - Wolfgang M Thaiss
- Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Artificial Intelligence in Experimental Radiology (XAIRAD), Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Department of Nuclear Medicine, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
| | - Johannes Bloehdorn
- Department of Internal Medicine III, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
| | - Ambros J Beer
- Center for Personalized Medicine (ZPM), University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Artificial Intelligence in Experimental Radiology (XAIRAD), Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Department of Nuclear Medicine, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Center for Translational Imaging "From Molecule to Man" (MoMan), Department of Internal Medicine II, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- i2SouI-Innovative Imaging in Surgical Oncology Ulm, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
| | - Stephan Stilgenbauer
- Department of Internal Medicine III, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Comprehensive Cancer Center Ulm (CCCU), University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
| | - Meinrad Beer
- Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Center for Personalized Medicine (ZPM), University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Artificial Intelligence in Experimental Radiology (XAIRAD), Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Center for Translational Imaging "From Molecule to Man" (MoMan), Department of Internal Medicine II, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- i2SouI-Innovative Imaging in Surgical Oncology Ulm, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
| | - Michael Götz
- Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- Artificial Intelligence in Experimental Radiology (XAIRAD), Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany
- German Cancer Research Center (DKFZ), Division Medical Image Computing, 69120 Heidelberg, Germany
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