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Cao X, Huber S, Ahari AJ, Traube FR, Seifert M, Oakes CC, Secheyko P, Vilov S, Scheller IF, Wagner N, Yépez VA, Blombery P, Haferlach T, Heinig M, Wachutka L, Hutter S, Gagneur J. Analysis of 3760 hematologic malignancies reveals rare transcriptomic aberrations of driver genes. Genome Med 2024; 16:70. [PMID: 38769532 PMCID: PMC11103968 DOI: 10.1186/s13073-024-01331-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 04/04/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Rare oncogenic driver events, particularly affecting the expression or splicing of driver genes, are suspected to substantially contribute to the large heterogeneity of hematologic malignancies. However, their identification remains challenging. METHODS To address this issue, we generated the largest dataset to date of matched whole genome sequencing and total RNA sequencing of hematologic malignancies from 3760 patients spanning 24 disease entities. Taking advantage of our dataset size, we focused on discovering rare regulatory aberrations. Therefore, we called expression and splicing outliers using an extension of the workflow DROP (Detection of RNA Outliers Pipeline) and AbSplice, a variant effect predictor that identifies genetic variants causing aberrant splicing. We next trained a machine learning model integrating these results to prioritize new candidate disease-specific driver genes. RESULTS We found a median of seven expression outlier genes, two splicing outlier genes, and two rare splice-affecting variants per sample. Each category showed significant enrichment for already well-characterized driver genes, with odds ratios exceeding three among genes called in more than five samples. On held-out data, our integrative modeling significantly outperformed modeling based solely on genomic data and revealed promising novel candidate driver genes. Remarkably, we found a truncated form of the low density lipoprotein receptor LRP1B transcript to be aberrantly overexpressed in about half of hairy cell leukemia variant (HCL-V) samples and, to a lesser extent, in closely related B-cell neoplasms. This observation, which was confirmed in an independent cohort, suggests LRP1B as a novel marker for a HCL-V subclass and a yet unreported functional role of LRP1B within these rare entities. CONCLUSIONS Altogether, our census of expression and splicing outliers for 24 hematologic malignancy entities and the companion computational workflow constitute unique resources to deepen our understanding of rare oncogenic events in hematologic cancers.
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Affiliation(s)
- Xueqi Cao
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Graduate School of Quantitative Biosciences (QBM), Munich, Germany
| | - Sandra Huber
- Munich Leukemia Laboratory (MLL), Munich, Germany
| | - Ata Jadid Ahari
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
| | - Franziska R Traube
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Stuttgart, Germany
| | - Marc Seifert
- Department of Haematology, Oncology and Clinical Immunology, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Christopher C Oakes
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Polina Secheyko
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Faculty of Biology, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Sergey Vilov
- Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany
| | - Ines F Scheller
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany
| | - Nils Wagner
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Helmholtz Association - Munich School for Data Science (MUDS), Munich, Germany
| | - Vicente A Yépez
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
| | - Piers Blombery
- Peter MacCallum Cancer Centre, Melbourne, Australia
- University of Melbourne, Melbourne, Australia
- Torsten Haferlach Leukämiediagnostik Stiftung, Munich, Germany
| | | | - Matthias Heinig
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany
| | - Leonhard Wachutka
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.
| | | | - Julien Gagneur
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.
- Graduate School of Quantitative Biosciences (QBM), Munich, Germany.
- Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany.
- Institute of Human Genetics, School of Medicine and Health, Technical University of Munich, Munich, Germany.
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Ma Y, Gan J, Bai Y, Cao D, Jiao Y. Minimal residual disease in solid tumors: an overview. Front Med 2023; 17:649-674. [PMID: 37707677 DOI: 10.1007/s11684-023-1018-6] [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: 02/22/2023] [Accepted: 06/24/2023] [Indexed: 09/15/2023]
Abstract
Minimal residual disease (MRD) is termed as the small numbers of remnant tumor cells in a subset of patients with tumors. Liquid biopsy is increasingly used for the detection of MRD, illustrating the potential of MRD detection to provide more accurate management for cancer patients. As new techniques and algorithms have enhanced the performance of MRD detection, the approach is becoming more widely and routinely used to predict the prognosis and monitor the relapse of cancer patients. In fact, MRD detection has been shown to achieve better performance than imaging methods. On this basis, rigorous investigation of MRD detection as an integral method for guiding clinical treatment has made important advances. This review summarizes the development of MRD biomarkers, techniques, and strategies for the detection of cancer, and emphasizes the application of MRD detection in solid tumors, particularly for the guidance of clinical treatment.
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Affiliation(s)
- Yarui Ma
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jingbo Gan
- Genetron Health (Beijing) Co. Ltd., Beijing, 102206, China
| | - Yinlei Bai
- Genetron Health (Beijing) Co. Ltd., Beijing, 102206, China
| | - Dandan Cao
- Genetron Health (Beijing) Co. Ltd., Beijing, 102206, China
| | - Yuchen Jiao
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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3
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Cohen SA, Liu MC, Aleshin A. Practical recommendations for using ctDNA in clinical decision making. Nature 2023; 619:259-268. [PMID: 37438589 DOI: 10.1038/s41586-023-06225-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 05/16/2023] [Indexed: 07/14/2023]
Abstract
The continuous improvement in cancer care over the past decade has led to a gradual decrease in cancer-related deaths. This is largely attributed to improved treatment and disease management strategies. Early detection of recurrence using blood-based biomarkers such as circulating tumour DNA (ctDNA) is being increasingly used in clinical practice. Emerging real-world data shows the utility of ctDNA in detecting molecular residual disease and in treatment-response monitoring, helping clinicians to optimize treatment and surveillance strategies. Many studies have indicated ctDNA to be a sensitive and specific biomarker for recurrence. However, most of these studies are largely observational or anecdotal in nature, and peer-reviewed data regarding the use of ctDNA are mainly indication-specific. Here we provide general recommendations on the clinical utility of ctDNA and how to interpret ctDNA analysis in different treatment settings, especially in patients with solid tumours. Specifically, we provide an understanding around the implications, strengths and limitations of this novel biomarker and how to best apply the results in clinical practice.
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Affiliation(s)
- Stacey A Cohen
- Fred Hutchinson Cancer Center, Seattle, WA, USA.
- University of Washington, Seattle, WA, USA.
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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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5
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Su L, Wu L, Lobb RR, Rennert PD, Ambrose C. CAR-T Engager proteins optimize anti-CD19 CAR-T cell therapies for lymphoma. Oncoimmunology 2022; 11:2111904. [PMID: 35990518 PMCID: PMC9387338 DOI: 10.1080/2162402x.2022.2111904] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
B cell lymphoma therapy has been transformed by CD19-targeting cellular therapeutics that induce high clinical response rates and impressive remissions in relapsed and refractory patients. However, approximately half of all patients who respond to CD19-directed cell therapy relapse, the majority within 6 months. One characteristic of relapse is loss or reduction of CD19 expression on malignant B cells. We designed a unique therapeutic to prevent and reverse relapses due to lost or reduced CD19 expression. This novel biologic, a CAR T Engager, binds CD20 and displays the CD19 extracellular domain. This approach increases the apparent CD19 antigen density on CD19-positive/CD20-positive lymphoma cells, and prevents antigen-loss induced relapse, as CD19 bound to CD20 remains present on the cell surface. We demonstrate that this novel therapeutic prevents and reverses lymphoma relapse in vitro and prevents CD19-negative lymphoma growth and relapse in vivo.
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Affiliation(s)
- Lihe Su
- Department of Research & Development, Aleta Biotherapeutics, Natick, MA, USA
| | - Lan Wu
- Department of Research & Development, Aleta Biotherapeutics, Natick, MA, USA
| | - Roy R. Lobb
- Department of Research & Development, Aleta Biotherapeutics, Natick, MA, USA
| | - Paul D. Rennert
- Department of Research & Development, Aleta Biotherapeutics, Natick, MA, USA
| | - Christine Ambrose
- Department of Research & Development, Aleta Biotherapeutics, Natick, MA, USA
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6
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Bergantim R, Peixoto da Silva S, Polónia B, Barbosa MAG, Albergaria A, Lima J, Caires HR, Guimarães JE, Vasconcelos MH. Detection of Measurable Residual Disease Biomarkers in Extracellular Vesicles from Liquid Biopsies of Multiple Myeloma Patients-A Proof of Concept. Int J Mol Sci 2022; 23:ijms232213686. [PMID: 36430163 PMCID: PMC9690807 DOI: 10.3390/ijms232213686] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 11/03/2022] [Accepted: 11/04/2022] [Indexed: 11/09/2022] Open
Abstract
Monitoring measurable residual disease (MRD) is crucial to assess treatment response in Multiple Myeloma (MM). Detection of MRD in peripheral blood (PB) by exploring Extracellular Vesicles (EVs), and their cargo, would allow frequent and minimally invasive monitoring of MM. This work aims to detect biomarkers of MRD in EVs isolated from MM patient samples at diagnosis and remission and compare the MRD-associated content between BM and PB EVs. EVs were isolated by size-exclusion chromatography, concentrated by ultrafiltration, and characterized according to their size and concentration, morphology, protein concentration, and the presence of EV-associated protein markers. EVs from healthy blood donors were used as controls. It was possible to isolate EVs from PB and BM carrying MM markers. Diagnostic samples had different levels of MM markers between PB and BM paired samples, but no differences between PB and BM were found at remission. EVs concentration was lower in the PB of healthy controls than of patients, and MM markers were mostly not detected in EVs from controls. This study pinpoints the potential of PB EVs from MM remission patients as a source of MM biomarkers and as a non-invasive approach for monitoring MRD.
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Affiliation(s)
- Rui Bergantim
- i3S—Instituto de Investigação e Inovação em Saúde, University of Porto, 4200-135 Porto, Portugal
- Cancer Drug Resistance Group, IPATIMUP—Institute of Molecular Pathology and Immunology of the University of Porto, 4200-135 Porto, Portugal
- Clinical Hematology, Hospital Center of São João, 4200-319 Porto, Portugal
- Clinical Hematology, FMUP—Faculty of Medicine of the University of Porto, 4200-319 Porto, Portugal
| | - Sara Peixoto da Silva
- i3S—Instituto de Investigação e Inovação em Saúde, University of Porto, 4200-135 Porto, Portugal
- Cancer Drug Resistance Group, IPATIMUP—Institute of Molecular Pathology and Immunology of the University of Porto, 4200-135 Porto, Portugal
| | - Bárbara Polónia
- i3S—Instituto de Investigação e Inovação em Saúde, University of Porto, 4200-135 Porto, Portugal
- Cancer Drug Resistance Group, IPATIMUP—Institute of Molecular Pathology and Immunology of the University of Porto, 4200-135 Porto, Portugal
| | - Mélanie A. G. Barbosa
- i3S—Instituto de Investigação e Inovação em Saúde, University of Porto, 4200-135 Porto, Portugal
- Cancer Drug Resistance Group, IPATIMUP—Institute of Molecular Pathology and Immunology of the University of Porto, 4200-135 Porto, Portugal
| | - André Albergaria
- i3S—Instituto de Investigação e Inovação em Saúde, University of Porto, 4200-135 Porto, Portugal
- Research Innovation Unit, Translational Research & Industry Partnerships Office, i3S—Instituto de Investigação e Inovação em Saúde, University of Porto, 4200-135 Porto, Portugal
| | - Jorge Lima
- i3S—Instituto de Investigação e Inovação em Saúde, University of Porto, 4200-135 Porto, Portugal
- Research Innovation Unit, Translational Research & Industry Partnerships Office, i3S—Instituto de Investigação e Inovação em Saúde, University of Porto, 4200-135 Porto, Portugal
| | - Hugo R. Caires
- i3S—Instituto de Investigação e Inovação em Saúde, University of Porto, 4200-135 Porto, Portugal
- Cancer Drug Resistance Group, IPATIMUP—Institute of Molecular Pathology and Immunology of the University of Porto, 4200-135 Porto, Portugal
| | - José E. Guimarães
- i3S—Instituto de Investigação e Inovação em Saúde, University of Porto, 4200-135 Porto, Portugal
- Cancer Drug Resistance Group, IPATIMUP—Institute of Molecular Pathology and Immunology of the University of Porto, 4200-135 Porto, Portugal
- Clinical Hematology, Hospital Center of São João, 4200-319 Porto, Portugal
- Clinical Hematology, FMUP—Faculty of Medicine of the University of Porto, 4200-319 Porto, Portugal
- Instituto Universitário de Ciências da Saúde, Cooperativa de Ensino Superior Politécnico e Universitário IUCSESPU, 4585-116 Gandra-Paredes, Portugal
- Correspondence: (J.E.G.); (M.H.V.); Tel.: +351-225-570-772 (J.E.G. & M.H.V.)
| | - M. Helena Vasconcelos
- i3S—Instituto de Investigação e Inovação em Saúde, University of Porto, 4200-135 Porto, Portugal
- Cancer Drug Resistance Group, IPATIMUP—Institute of Molecular Pathology and Immunology of the University of Porto, 4200-135 Porto, Portugal
- Department of Biological Sciences, FFUP—Faculty of Pharmacy of the University of Porto, 4050-313 Porto, Portugal
- Correspondence: (J.E.G.); (M.H.V.); Tel.: +351-225-570-772 (J.E.G. & M.H.V.)
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Doculara L, Trahair TN, Bayat N, Lock RB. Circulating Tumor DNA in Pediatric Cancer. Front Mol Biosci 2022; 9:885597. [PMID: 35647029 PMCID: PMC9133724 DOI: 10.3389/fmolb.2022.885597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
The measurement of circulating tumor DNA (ctDNA) has gained increasing prominence as a minimally invasive tool for the detection of cancer-specific markers in plasma. In adult cancers, ctDNA detection has shown value for disease-monitoring applications including tumor mutation profiling, risk stratification, relapse prediction, and treatment response evaluation. To date, there are ctDNA tests used as companion diagnostics for adult cancers and it is not understood why the same cannot be said about childhood cancer, despite the marked differences between adult and pediatric oncology. In this review, we discuss the current understanding of ctDNA as a disease monitoring biomarker in the context of pediatric malignancies, including the challenges associated with ctDNA detection in liquid biopsies. The data and conclusions from pediatric cancer studies of ctDNA are summarized, highlighting treatment response, disease monitoring and the detection of subclonal disease as applications of ctDNA. While the data from retrospective studies highlight the potential of ctDNA, large clinical trials are required for ctDNA analysis for routine clinical use in pediatric cancers. We outline the requirements for the standardization of ctDNA detection in pediatric cancers, including sample handling and reproducibility of results. With better understanding of the advantages and limitations of ctDNA and improved detection methods, ctDNA analysis may become the standard of care for patient monitoring in childhood cancers.
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Affiliation(s)
- Louise Doculara
- Children’s Cancer Institute, Lowy Cancer Centre, UNSW Sydney, Sydney, NSW, Australia
- School of Women’s and Children’s Health, UNSW Sydney, Sydney, NSW, Australia
- University of New South Wales Centre for Childhood Cancer Research, UNSW Sydney, Sydney, NSW, Australia
| | - Toby N. Trahair
- Children’s Cancer Institute, Lowy Cancer Centre, UNSW Sydney, Sydney, NSW, Australia
- School of Women’s and Children’s Health, UNSW Sydney, Sydney, NSW, Australia
- Kids Cancer Centre, Sydney Children’s Hospital, Randwick, NSW, Australia
| | - Narges Bayat
- Children’s Cancer Institute, Lowy Cancer Centre, UNSW Sydney, Sydney, NSW, Australia
- School of Women’s and Children’s Health, UNSW Sydney, Sydney, NSW, Australia
- University of New South Wales Centre for Childhood Cancer Research, UNSW Sydney, Sydney, NSW, Australia
| | - Richard B. Lock
- Children’s Cancer Institute, Lowy Cancer Centre, UNSW Sydney, Sydney, NSW, Australia
- School of Women’s and Children’s Health, UNSW Sydney, Sydney, NSW, Australia
- University of New South Wales Centre for Childhood Cancer Research, UNSW Sydney, Sydney, NSW, Australia
- *Correspondence: Richard B. Lock,
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Bravo-Pérez C, Sola M, Teruel-Montoya R, García-Malo MD, Ortuño FJ, Vicente V, de Arriba F, Jerez A. Minimal Residual Disease in Multiple Myeloma: Something Old, Something New. Cancers (Basel) 2021; 13:4332. [PMID: 34503142 PMCID: PMC8430644 DOI: 10.3390/cancers13174332] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Revised: 08/20/2021] [Accepted: 08/23/2021] [Indexed: 12/13/2022] Open
Abstract
The game-changing outcome effect, due to the generalized use of novel agents in MM, has cre-ated a paradigm shift. Achieving frequent deep responses has placed MM among those neoplasms where the rationale for assessing MRD is fulfilled. However, its implementation in MM has raised specific questions: how might we weight standard measures against deep MRD in the emerging CAR-T setting? Which high sensitivity method to choose? Are current response criteria still useful? In this work, we address lessons learned from the use of MRD in other neoplasms, the steps followed for the harmonization of current methods for comprehensively measuring MRD, and the challenges that new therapies and concepts pose in the MM clinical field.
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Affiliation(s)
- Carlos Bravo-Pérez
- Hematology and Medical Oncology Department, University Hospital Morales Meseguer, IMIB, 30003 Murcia, Spain; (C.B.-P.); (M.S.); (M.D.G.-M.); (F.J.O.); (V.V.); (F.d.A.); (A.J.)
| | - María Sola
- Hematology and Medical Oncology Department, University Hospital Morales Meseguer, IMIB, 30003 Murcia, Spain; (C.B.-P.); (M.S.); (M.D.G.-M.); (F.J.O.); (V.V.); (F.d.A.); (A.J.)
| | - Raúl Teruel-Montoya
- Hematology and Medical Oncology Department, University Hospital Morales Meseguer, IMIB, 30003 Murcia, Spain; (C.B.-P.); (M.S.); (M.D.G.-M.); (F.J.O.); (V.V.); (F.d.A.); (A.J.)
- CB15/00055-CIBERER, 30003 Murcia, Spain
| | - María Dolores García-Malo
- Hematology and Medical Oncology Department, University Hospital Morales Meseguer, IMIB, 30003 Murcia, Spain; (C.B.-P.); (M.S.); (M.D.G.-M.); (F.J.O.); (V.V.); (F.d.A.); (A.J.)
| | - Francisco José Ortuño
- Hematology and Medical Oncology Department, University Hospital Morales Meseguer, IMIB, 30003 Murcia, Spain; (C.B.-P.); (M.S.); (M.D.G.-M.); (F.J.O.); (V.V.); (F.d.A.); (A.J.)
| | - Vicente Vicente
- Hematology and Medical Oncology Department, University Hospital Morales Meseguer, IMIB, 30003 Murcia, Spain; (C.B.-P.); (M.S.); (M.D.G.-M.); (F.J.O.); (V.V.); (F.d.A.); (A.J.)
- CB15/00055-CIBERER, 30003 Murcia, Spain
| | - Felipe de Arriba
- Hematology and Medical Oncology Department, University Hospital Morales Meseguer, IMIB, 30003 Murcia, Spain; (C.B.-P.); (M.S.); (M.D.G.-M.); (F.J.O.); (V.V.); (F.d.A.); (A.J.)
| | - Andrés Jerez
- Hematology and Medical Oncology Department, University Hospital Morales Meseguer, IMIB, 30003 Murcia, Spain; (C.B.-P.); (M.S.); (M.D.G.-M.); (F.J.O.); (V.V.); (F.d.A.); (A.J.)
- CB15/00055-CIBERER, 30003 Murcia, Spain
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Shapira S, Kazanov D, Mdah F, Yaakobi H, Herishanu Y, Perry C, Avivi I, Itchaki G, Shacham-Abulafia A, Raanani P, Hay-Levy M, Aiger G, Mashiah J, Lev-Ari S, Arber N. Feasibly of CD24/CD11b as a Screening Test for Hematological Malignancies. J Pers Med 2021; 11:724. [PMID: 34442367 PMCID: PMC8399145 DOI: 10.3390/jpm11080724] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 07/21/2021] [Accepted: 07/24/2021] [Indexed: 11/17/2022] Open
Abstract
An estimated 1.24 million blood cancer cases occur annually worldwide, accounting for approximately 6% of all cancer cases. Currently, there are no standardized hematology cancer screening tests that are recommended for the general population. CD24 is a mucin-like cell surface molecule and P-selectin ligand, which plays a significant role in the maturation of B-lymphocytes and was found to be overexpressed in a number of hematological malignancies. Our primary aim was to assess the sensitivity and specificity of the CD24/CD11b-based blood test for the detection of hematological malignancies. Our cohort included 488 subjects with positive hematological cancer diagnosis (n = 122) and healthy subjects (n = 366). CD24/CD11b expression in peripheral blood leukocytes (PBLs) obtained from blood samples of participants was analyzed by flow cytometry. Our results demonstrated that the average levels of CD24/CD11b in healthy patients (21.7 ± 9.0) were statistically significantly lower compared to levels of CD24/CD11b in cancer patients (29.5 ± 18.7, p < 0.001). The highest levels of CD24/CD11b were found in multiple myeloma (39.1 ± 23.6), followed by chronic myeloid leukemia (33.0 ± 13.7) and non-Hodgkin lymphoma (32.3 ± 13.3). The test had an overall sensitivity for hematologic cancers of 78.5% (95% CI, 70.7-86.3%) and specificity of 80.2% (95% CI, 76.1-84.3%). In conclusion, our findings indicate the feasibility of a CD24/CD11b-based blood test as a screening test of hematological malignancies.
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Affiliation(s)
- Shiran Shapira
- Integrated Cancer Prevention Center, Tel Aviv Medical Center, Tel Aviv 6423906, Israel; (S.S.); (D.K.); (F.M.); (H.Y.); (M.H.-L.); (G.A.); (S.L.-A.)
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 6423906, Israel; (Y.H.); (C.P.); (I.A.); (G.I.); (A.S.-A.); (P.R.)
| | - Dina Kazanov
- Integrated Cancer Prevention Center, Tel Aviv Medical Center, Tel Aviv 6423906, Israel; (S.S.); (D.K.); (F.M.); (H.Y.); (M.H.-L.); (G.A.); (S.L.-A.)
| | - Fatin Mdah
- Integrated Cancer Prevention Center, Tel Aviv Medical Center, Tel Aviv 6423906, Israel; (S.S.); (D.K.); (F.M.); (H.Y.); (M.H.-L.); (G.A.); (S.L.-A.)
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 6423906, Israel; (Y.H.); (C.P.); (I.A.); (G.I.); (A.S.-A.); (P.R.)
| | - Hadas Yaakobi
- Integrated Cancer Prevention Center, Tel Aviv Medical Center, Tel Aviv 6423906, Israel; (S.S.); (D.K.); (F.M.); (H.Y.); (M.H.-L.); (G.A.); (S.L.-A.)
| | - Yair Herishanu
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 6423906, Israel; (Y.H.); (C.P.); (I.A.); (G.I.); (A.S.-A.); (P.R.)
- Tel Aviv Medical Center, Department of Hematology, Tel Aviv 6423906, Israel
| | - Chava Perry
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 6423906, Israel; (Y.H.); (C.P.); (I.A.); (G.I.); (A.S.-A.); (P.R.)
- Tel Aviv Medical Center, Department of Hematology, Tel Aviv 6423906, Israel
| | - Irit Avivi
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 6423906, Israel; (Y.H.); (C.P.); (I.A.); (G.I.); (A.S.-A.); (P.R.)
- Tel Aviv Medical Center, Department of Hematology, Tel Aviv 6423906, Israel
| | - Gilad Itchaki
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 6423906, Israel; (Y.H.); (C.P.); (I.A.); (G.I.); (A.S.-A.); (P.R.)
- Davidoff Cancer Center, Rabin Medical Center, Institute of Hematology, Petah Tikva 49100, Israel
| | - Adi Shacham-Abulafia
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 6423906, Israel; (Y.H.); (C.P.); (I.A.); (G.I.); (A.S.-A.); (P.R.)
- Davidoff Cancer Center, Rabin Medical Center, Institute of Hematology, Petah Tikva 49100, Israel
| | - Pia Raanani
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 6423906, Israel; (Y.H.); (C.P.); (I.A.); (G.I.); (A.S.-A.); (P.R.)
- Davidoff Cancer Center, Rabin Medical Center, Institute of Hematology, Petah Tikva 49100, Israel
| | - Mori Hay-Levy
- Integrated Cancer Prevention Center, Tel Aviv Medical Center, Tel Aviv 6423906, Israel; (S.S.); (D.K.); (F.M.); (H.Y.); (M.H.-L.); (G.A.); (S.L.-A.)
| | - Gal Aiger
- Integrated Cancer Prevention Center, Tel Aviv Medical Center, Tel Aviv 6423906, Israel; (S.S.); (D.K.); (F.M.); (H.Y.); (M.H.-L.); (G.A.); (S.L.-A.)
| | - Jacob Mashiah
- Tel Aviv Medical Center, The Pediatric Dermatology Unit, Tel Aviv 6423906, Israel;
| | - Shahar Lev-Ari
- Integrated Cancer Prevention Center, Tel Aviv Medical Center, Tel Aviv 6423906, Israel; (S.S.); (D.K.); (F.M.); (H.Y.); (M.H.-L.); (G.A.); (S.L.-A.)
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 6423906, Israel; (Y.H.); (C.P.); (I.A.); (G.I.); (A.S.-A.); (P.R.)
| | - Nadir Arber
- Integrated Cancer Prevention Center, Tel Aviv Medical Center, Tel Aviv 6423906, Israel; (S.S.); (D.K.); (F.M.); (H.Y.); (M.H.-L.); (G.A.); (S.L.-A.)
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 6423906, Israel; (Y.H.); (C.P.); (I.A.); (G.I.); (A.S.-A.); (P.R.)
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