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Sanoja-Flores L, Flores-Montero J, Pérez-Andrés M, Puig N, Orfao A. Detection of Circulating Tumor Plasma Cells in Monoclonal Gammopathies: Methods, Pathogenic Role, and Clinical Implications. Cancers (Basel) 2020; 12:E1499. [PMID: 32521788 PMCID: PMC7352573 DOI: 10.3390/cancers12061499] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 05/29/2020] [Accepted: 06/03/2020] [Indexed: 12/28/2022] Open
Abstract
Cancer dissemination and distant metastasis most frequently require the release of tumor cells into the blood circulation, both in solid tumors and most hematological malignancies, including plasma cell neoplasms. However, detection of blood circulating tumor cells in solid tumors and some hematological malignancies, such as the majority of mature/peripheral B-cell lymphomas and monoclonal gammopathies, has long been a challenge due to their very low frequency. In recent years, the availability of highly-sensitive and standardized methods for the detection of circulating tumor plasma cells (CTPC) in monoclonal gammopathies, e.g., next-generation flow cytometry (NGF), demonstrated the systematic presence of CTPC in blood in virtually every smoldering (SMM) and symptomatic multiple myeloma (MM) patient studied at diagnosis, and in the majority of patients with newly-diagnosed monoclonal gammopathies of undetermined significance (MGUS). These methods set the basis for further detailed characterization of CTPC vs. their bone marrow counterpart in monoclonal gammopathies, to investigate their role in the biology of the disease, and to confirm their strong impact on patient outcome when measured both at diagnosis and after initiating therapy. Here, we review the currently available techniques for the detection of CTPC, and determine their biological features, physiopathological role and clinical significance in patients diagnosed with distinct diagnostic categories of plasma cell neoplasms.
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Affiliation(s)
- Luzalba Sanoja-Flores
- Translational and Clinical Research Program, Centro de Investigación del Cáncer and Instituto de Biología Molecular y Celular del Cáncer, Consejo Superior de Investigaciones Científicas (CSIC)- University of Salamanca, 37007 Salamanca, Spain; (L.S.-F.); (J.F.-M.); (M.P.-A.)
- Centro de Investigación Biomédica en Red de Cáncer, CIBER-ONC number CB16/12/00400, Instituto Carlos III, 28029 Madrid, Spain
| | - Juan Flores-Montero
- Translational and Clinical Research Program, Centro de Investigación del Cáncer and Instituto de Biología Molecular y Celular del Cáncer, Consejo Superior de Investigaciones Científicas (CSIC)- University of Salamanca, 37007 Salamanca, Spain; (L.S.-F.); (J.F.-M.); (M.P.-A.)
- Centro de Investigación Biomédica en Red de Cáncer, CIBER-ONC number CB16/12/00400, Instituto Carlos III, 28029 Madrid, Spain
| | - Martín Pérez-Andrés
- Translational and Clinical Research Program, Centro de Investigación del Cáncer and Instituto de Biología Molecular y Celular del Cáncer, Consejo Superior de Investigaciones Científicas (CSIC)- University of Salamanca, 37007 Salamanca, Spain; (L.S.-F.); (J.F.-M.); (M.P.-A.)
- Centro de Investigación Biomédica en Red de Cáncer, CIBER-ONC number CB16/12/00400, Instituto Carlos III, 28029 Madrid, Spain
| | - Noemí Puig
- Department of Hematology, University Hospital of Salamanca, IBSAL, IBMCC (USAL-CSIC), 37007 Salamanca, Spain;
- Centro de Investigación Biomédica en Red de Cáncer, CIBER-ONC number CB16/12/00233, Instituto Carlos III, 28029 Madrid, Spain
| | - Alberto Orfao
- Translational and Clinical Research Program, Centro de Investigación del Cáncer and Instituto de Biología Molecular y Celular del Cáncer, Consejo Superior de Investigaciones Científicas (CSIC)- University of Salamanca, 37007 Salamanca, Spain; (L.S.-F.); (J.F.-M.); (M.P.-A.)
- Centro de Investigación Biomédica en Red de Cáncer, CIBER-ONC number CB16/12/00400, Instituto Carlos III, 28029 Madrid, Spain
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Vagnoni D, Travaglini F, Pezzoni V, Ruggieri M, Bigazzi C, Dalsass A, Mestichelli F, Troiani E, Falcioni S, Mazzotta S, Natale A, Angelini M, Ferretti S, Angelini S, Galieni P. Circulating plasma cells in newly diagnosed symptomatic multiple myeloma as a possible prognostic marker for patients with standard-risk cytogenetics. Br J Haematol 2015; 170:523-31. [PMID: 26010293 DOI: 10.1111/bjh.13484] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Accepted: 03/24/2015] [Indexed: 01/22/2023]
Abstract
Detection of circulating plasma cells (PCs) in multiple myeloma (MM) patients is a well-known prognostic factor. We evaluated circulating PCs by flow cytometry (FC) in 104 patients with active MM at diagnosis by gating on CD38(+) CD45(-) cells and examined their relationship with cytogenetic risk. Patients had an average follow-up of 36 months. By using a receiver operating characteristics analysis, we estimated the optimal cut-off of circulating PCs for defining poor prognosis to be 41. Patients with high-risk cytogenetics (n = 24) had poor prognosis, independently of circulating PC levels [PC < 41 vs. PC ≥ 41: overall survival (OS) = 0% vs. OS = 17%, P = not significant (n.s.); progression-free survival (PFS) = 0% vs. 17%, P = n.s.]. Patients with standard-risk cytogenetics (n = 65) showed a better prognosis when associated with a lower number of circulating PCs (PC < 41 vs. PC ≥ 41: OS = 62% vs. 24%, P = 0·008; PFS = 48% vs. 21%, P = 0·001). Multivariate analysis on the subgroup with standard-risk cytogenetics confirmed that the co-presence of circulating PCs ≥ 41, older age, Durie-Salmon stage >I and lack of maintenance adversely affected PFS, while OS was adversely affected only by lactate dehydrogenase, older age and lack of maintenance. Our results indicate that the quantification of circulating PCs by a simple two-colour FC analysis can provide useful prognostic information in newly diagnosed MM patients with standard-risk cytogenetics.
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Affiliation(s)
- Davide Vagnoni
- U.O.C. Ematologia e Trapianto di Cellule Staminali Emopoietiche, Ospedale Mazzoni, Ascoli Piceno, Italy
| | - Fosco Travaglini
- U.O.C. Ematologia e Trapianto di Cellule Staminali Emopoietiche, Ospedale Mazzoni, Ascoli Piceno, Italy
| | - Valerio Pezzoni
- U.O.C. Ematologia e Trapianto di Cellule Staminali Emopoietiche, Ospedale Mazzoni, Ascoli Piceno, Italy
| | - Miriana Ruggieri
- U.O.C. Ematologia e Trapianto di Cellule Staminali Emopoietiche, Ospedale Mazzoni, Ascoli Piceno, Italy
| | - Catia Bigazzi
- U.O.C. Ematologia e Trapianto di Cellule Staminali Emopoietiche, Ospedale Mazzoni, Ascoli Piceno, Italy
| | - Alessia Dalsass
- U.O.C. Ematologia e Trapianto di Cellule Staminali Emopoietiche, Ospedale Mazzoni, Ascoli Piceno, Italy
| | - Francesca Mestichelli
- U.O.C. Ematologia e Trapianto di Cellule Staminali Emopoietiche, Ospedale Mazzoni, Ascoli Piceno, Italy
| | - Emanuela Troiani
- U.O.C. Ematologia e Trapianto di Cellule Staminali Emopoietiche, Ospedale Mazzoni, Ascoli Piceno, Italy
| | - Sadia Falcioni
- U.O.C. Ematologia e Trapianto di Cellule Staminali Emopoietiche, Ospedale Mazzoni, Ascoli Piceno, Italy
| | - Serena Mazzotta
- U.O.C. Ematologia e Trapianto di Cellule Staminali Emopoietiche, Ospedale Mazzoni, Ascoli Piceno, Italy
| | - Annalisa Natale
- U.O.C. Ematologia e Trapianto di Cellule Staminali Emopoietiche, Ospedale Mazzoni, Ascoli Piceno, Italy
| | - Mario Angelini
- U.O.C. Ematologia e Trapianto di Cellule Staminali Emopoietiche, Ospedale Mazzoni, Ascoli Piceno, Italy
| | - Silvia Ferretti
- U.O.C. Ematologia e Trapianto di Cellule Staminali Emopoietiche, Ospedale Mazzoni, Ascoli Piceno, Italy
| | - Stefano Angelini
- U.O.C. Ematologia e Trapianto di Cellule Staminali Emopoietiche, Ospedale Mazzoni, Ascoli Piceno, Italy
| | - Piero Galieni
- U.O.C. Ematologia e Trapianto di Cellule Staminali Emopoietiche, Ospedale Mazzoni, Ascoli Piceno, Italy
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Flies A, Ahmadi T, Parks AJ, Prokaeva T, Weng L, Rolfe SS, Seldin DC, Sherr DH. Immunoglobulin light chain, Blimp-1 and cytochrome P4501B1 peptides as potential vaccines for AL amyloidosis. Immunol Cell Biol 2012; 90:528-39. [PMID: 21894172 DOI: 10.1038/icb.2011.73] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Amyloid light chain (AL) amyloidosis is a lethal disorder characterized by the pathologic deposition of clonal plasma cell-derived, fibrillogenic immunoglobulin light chains in vital organs. Current chemotherapeutic regimens are problematic in patients with compromised organ function and are not effective for all patients. Here, a platform of computer-based prediction and preclinical mouse modeling was used to begin development of a complementary, immunotherapeutic approach for AL amyloidosis. Three peptide/MHC I-binding algorithms identified immunogenic peptides from three AL plasma cell-associated proteins: (1) amyloidogenic λ6 light chains, (2) CYP1B1, a universal tumor antigen hyper-expressed in AL plasma cells and (3) B lymphocyte-induced maturation protein 1 (Blimp-1), a transcription factor required for plasma cell differentiation. The algorithms correctly predicted HLA-A(*)0201-binding native and heteroclitic peptides. In HLA-A2 transgenic mice, these peptides, given individually or in combination, induced potent CTL which kill peptide-loaded human lymphoma cells and/or lymphoma cells producing target protein. Blimp-1 peptide-immunized mice exhibited a reduced percentage of splenic, lymph node and bone marrow plasma cells and a decrease in the absolute number of splenic plasma cells demonstrating (1) presentation of target peptide by endogenous plasma cells and (2) appropriate CTL homing to lymphoid organs followed by killing of target plasma cells. These studies suggest that AL amyloidosis, with its relatively low tumor cell burden, may be an attractive target for peptide-based multivalent vaccines.
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Affiliation(s)
- Amanda Flies
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA, USA
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Dingli D, Nowakowski GS, Dispenzieri A, Lacy MQ, Hayman SR, Rajkumar SV, Greipp PR, Litzow MR, Gastineau DA, Witzig TE, Gertz MA. Flow cytometric detection of circulating myeloma cells before transplantation in patients with multiple myeloma: a simple risk stratification system. Blood 2005; 107:3384-8. [PMID: 16339399 PMCID: PMC1895764 DOI: 10.1182/blood-2005-08-3398] [Citation(s) in RCA: 59] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Detection of circulating myeloma cells (CMCs) by flow cytometry in patients with multiple myeloma (MM) indicates active disease. We hypothesized that detection of CMCs at the time of stem-cell collection prior to autologous stem-cell transplantation (ASCT) identifies patients at high risk of rapid progression. A cohort of patients undergoing ASCT was identified. CMCs were determined by gating on CD38+/CD45- cells using flow cytometry. The impact of CMCs on overall survival (OS) and time to progression (TTP) was evaluated in univariate and multivariate analyses. Of 246 patients undergoing ASCT, 95 had CMCs. Complete response (CR) rates after transplantation were 32% and 36% for patients with and without CMCs, respectively (P = .50). OSs were 33.2 and 58.6 months (P = .01) whereas TTPs were 14.1 and 22 months, respectively (P = .001). On multivariate analysis, CMCs remained independent of cytogenetics and disease status at time of transplantation (P = .03). CMCs and cytogenetics were combined in a new scoring system. Patients with neither, one, or both parameters had a median OS of 55, 48, and 21.5 months and a median TTP of 22, 15.4, and 6.5 months, respectively. CMCs at the time of ASCT is an independent prognostic factor and in combination with cytogenetics provides a powerful scoring system that stratifies patients and guides management.
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Affiliation(s)
- David Dingli
- Division of Hematology, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN 55905, USA
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Fenk R, Haas R, Kronenwett R. Molecular monitoring of minimal residual disease in patients with multiple myeloma. ACTA ACUST UNITED AC 2004; 9:17-33. [PMID: 14965865 DOI: 10.1080/10245330310001638965] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Improvement of transplantation strategies and a multitude of emerging novel therapies result in a better treatment outcome in patients with multiple myeloma (MM). This gives rise to the need for sensitive methods to detect minimal residual disease (MRD) in MM. Qualitative molecular monitoring using allele-specific oligonucleotide PCR for the immunoglobulin heavy chain (IgH) is well established to detect clonotypic cells after therapy or in stem cell harvests. Recently, real-time IgH PCR or limiting dilution based PCR assays offer the possibility to quantify the amount of residual tumour cells. In this review, different qualitative and quantitative IgH PCR techniques will be discussed as well as the current clinical role of molecular monitoring of MRD in patients with MM.
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Affiliation(s)
- Roland Fenk
- Department of Haematology, Oncology and Clinical Immunology, University of Duesseldorf, Germany.
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