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Rao H, Wang M, Wu Y, Wu Y, Han C, Yan C, Zhang L, Wang J, Liu Y. In vitro investigation of the mechanics of fixed red blood cells based on optical trap micromanipulation and image analysis. BIOMEDICAL OPTICS EXPRESS 2024; 15:3783-3794. [PMID: 38867786 PMCID: PMC11166448 DOI: 10.1364/boe.523702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 05/06/2024] [Accepted: 05/07/2024] [Indexed: 06/14/2024]
Abstract
Erythrocyte deformability correlates with various diseases. Single-cell measurements via optical tweezers (OTs) enable quantitative exploration but may encounter inaccuracies due to erythrocyte life cycle mixing. We present a three-step methodology to address these challenges. Firstly, density gradient centrifugation minimizes erythrocyte variations. Secondly, OTs measure membrane shear force across layers. Thirdly, MATLAB analyzes dynamic cell areas. Results combined with membrane shear force data reveal erythrocyte deformational capacity. To further characterize the deformability of diseased erythrocytes, the experiments used glutaraldehyde-fixed erythrocytes to simulate diseased cells. OTs detect increased shear modulus, while image recognition indicates decreased deformation. The integration of OTs and image recognition presents a comprehensive approach to deformation analysis, introducing novel ideas and methodologies for investigating erythrocytic lesions.
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Affiliation(s)
- Hongtao Rao
- Jiangsu Key Laboratory of Advanced Laser Materials and Devices, School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, China
| | - Meng Wang
- Jiangsu Key Laboratory of Advanced Laser Materials and Devices, School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, China
| | - Yinglian Wu
- Jiangsu Key Laboratory of Advanced Laser Materials and Devices, School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, China
| | - Ying Wu
- Jiangsu Key Laboratory of Advanced Laser Materials and Devices, School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, China
| | - Caiqin Han
- Jiangsu Key Laboratory of Advanced Laser Materials and Devices, School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, China
| | - Changchun Yan
- Jiangsu Key Laboratory of Advanced Laser Materials and Devices, School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, China
| | - Le Zhang
- Jiangsu Key Laboratory of Advanced Laser Materials and Devices, School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, China
| | - Jingjing Wang
- Jiangsu Key Laboratory of Advanced Laser Materials and Devices, School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, China
| | - Ying Liu
- Jiangsu Key Laboratory of Advanced Laser Materials and Devices, School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, China
- Xuzhou College of Industrial Technology, Xuzhou, China
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Cordone I, Amodeo R, Bellesi S, Bottan F, Buccisano F, De Propris MS, Masi S, Panichi V, Scerpa MC, Annibali O, Bongarzoni V, Caravita di Toritto T, Coppetelli U, Cupelli L, de Fabritiis P, Franceschini L, Garzia M, Fiorini A, Laverde G, Mengarelli A, Za T, Petrucci MT. Consensus for Flow Cytometry Clinical Report on Multiple Myeloma: A Multicenter Harmonization Process Merging Laboratory Experience and Clinical Needs. Cancers (Basel) 2023; 15:cancers15072060. [PMID: 37046720 PMCID: PMC10093543 DOI: 10.3390/cancers15072060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/14/2023] [Accepted: 03/14/2023] [Indexed: 04/03/2023] Open
Abstract
Flow cytometry is a highly sensitive and specific approach for discriminating between normal and clonal plasma cells in multiple myeloma. Uniform response criteria after treatment have been established by the International Myeloma Working Group and the EuroFlow Group; however, the way in which flow cytometry data are reported has suffered from no collaborative or multicentre efforts. This study, involving 8 expert laboratories and 12 clinical hematology units of the Lazio region in Italy, aims to produce a uniform and shared report among the various Centres. From the pre-analytical phase to sample processing, data acquisition, analysis, and evaluation of the potential limitations and pitfalls of the entire process, the study reaches a final conclusion shared by laboratories and clinicians according to the most updated principles and recommendations. The aim was to identify the necessary data to be included in the clinical report by using multiple-choice questionnaires at every single stage of the process. An agreement of more than 75% of the laboratories was considered mandatory for the data to be included in the report. By ensuring the operational autonomy of each laboratory, this study provides a clear report that limits subjective interpretations and highlights possible bias in the process, better supporting clinical decision-making.
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Affiliation(s)
- Iole Cordone
- Department of Research, Advanced Diagnostic and Technological Innovation, IRCCS Regina Elena National Cancer Institute, 00144 Rome, Italy
- Correspondence: ; Tel.: +39-065-266-5110
| | - Rachele Amodeo
- Clinical Pathology and Biochemistry Unit, Sant’Andrea University Hospital, 00189 Rome, Italy
| | - Silvia Bellesi
- Department of Diagnostic Imaging, Oncological Radiotherapy and Haematology, IRCCS Foundation A. Gemelli University Hospital, 00168 Rome, Italy
| | - Fiorella Bottan
- Clinical Pathology Unit, San Giovanni Addolorata Hospital, 00184 Rome, Italy
| | - Francesco Buccisano
- Haematology and Stem Cell Transplant Unit, Department of Biomedicine and Prevention, University of Rome ‘Tor Vergata’, 00133 Rome, Italy
| | - Maria Stefania De Propris
- Immunophenotype Laboratory, Department of Translational and Precision Medicine, ‘Sapienza’ University, 00185 Rome, Italy
| | - Serena Masi
- Department of Research, Advanced Diagnostic and Technological Innovation, IRCCS Regina Elena National Cancer Institute, 00144 Rome, Italy
| | - Valentina Panichi
- Microbiology and Virology Unit, Department of Oncology and Haematology, Belcolle Central Hospital, 01100 Viterbo, Italy
| | - Maria Cristina Scerpa
- Haematology and Stem Cell Unit, Santa Maria Goretti Hospital, ASL Latina, 04100 Latina, Italy
| | - Ombretta Annibali
- Haematology and Stem Cell Transplant Unit, Campus Bio-Medico University, 00128 Rome, Italy
| | - Velia Bongarzoni
- Haematology Unit, San Giovanni Addolorata Hospital, 00184 Rome, Italy
| | | | - Ugo Coppetelli
- Haematology and Stem Cell Unit, Santa Maria Goretti Hospital, ASL Latina, 04100 Latina, Italy
| | - Luca Cupelli
- Haematology Unit, Sant’Eugenio Hospital, ASL Roma 2, 00144 Rome, Italy
| | | | - Luca Franceschini
- Haematology and Stem Cell Transplant Unit, Department of Biomedicine and Prevention, University of Rome ‘Tor Vergata’, 00133 Rome, Italy
| | - Mariagrazia Garzia
- Haematology and Stem Cell Transplant Unit, San Camillo Forlanini Hospital, 00152 Rome, Italy
| | - Alessia Fiorini
- Department of Oncology and Haematology, Belcolle Central Hospital, 01100 Viterbo, Italy
| | - Giacinto Laverde
- Haematology Unit, Sant’Andrea University Hospital, 00189 Rome, Italy
| | - Andrea Mengarelli
- Department of Research and Clinical Oncology, IRCCS Regina Elena National Cancer Institute, 00144 Rome, Italy
| | - Tommaso Za
- Department of Diagnostic Imaging, Oncological Radiotherapy and Haematology, IRCCS Foundation A. Gemelli University Hospital, 00168 Rome, Italy
| | - Maria Teresa Petrucci
- Haematology Unit, Department of Translational and Precision Medicine, ‘Sapienza’ University, 00185 Rome, Italy
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Li H, Li F, Zhou X, Mei J, Song P, An Z, Zhao Q, Guo X, Wang X, Zhai Y. Achieving minimal residual disease-negative by multiparameter flow cytometry may ameliorate a poor prognosis in MM patients with high-risk cytogenetics: a retrospective single-center analysis. Ann Hematol 2019; 98:1185-1195. [PMID: 30721336 DOI: 10.1007/s00277-019-03609-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 01/04/2019] [Indexed: 12/24/2022]
Abstract
The aim of our study was to evaluate the prognostic impact of minimal residual disease (MRD) and high-risk cytogenetics (HRCs) on outcomes in multiple myeloma (MM) patients. We applied multiparameter flow cytometry (MFC) to detect MRD in 123 consecutive patients diagnosed with MM for the first time who achieved very good partial remission (VGPR) or better after bortezomib or thalidomide-based induction therapy. Moreover, we examined the cytogenetic features of MM patients using magnetic-activated cell sorting and interphase fluorescence in situ hybridization (MACS-iFISH) at diagnosis. In all 123 MM patients, progression-free survival (PFS) and overall survival (OS) were better in the MRD- group (n = 31) than in the MRD+ group (n = 92) (median PFS: not reached (NR) vs. 26 months (m), P = 0.0002; 4-year OS, 91.7% vs. 66.3%, P = 0.008). PFS and OS were significantly shorter for each increase of one log per MRD level (P < 0.0001 and P = 0.001). The median PFS of the four groups according to the ratio of aberrant plasma cells (less than 0.01%, 0.01-0.1%, 0.1-1%, and more than 1%) were NR, 37 m, 26 m, and 15 m, respectively, and the 4-year OS rates were 91.7%, 69.3%, 76.1%, and 54.0%, respectively. In addition, our results show that PFS and OS were better for the standard-risk cytogenetic (SRC) patients than the HRC patients (median PFS: NR vs. 26 m, P = 0.004; 3-year OS: 95.8% vs. 76.0%, P = 0.006). The independent predictors of PFS were HRC and MRD+, which had hazard ratios of 1.901 (95% CI 1.094-3.303) and 3.486 (95% CI 1.449-8.386), respectively; while those for OS were an LDH level ≥ 250 U/L, HRC, and MRD+, which had hazard ratios of 2.789 (95% CI 1.080-7.199), 2.697 (95% CI 1.053-6.907), and 7.714 (95% CI 1.040-57.227), respectively. Furthermore, for SRC patients or HRC patients, PFS and OS were all longer in MRD- than in MRD+ patients. Strikingly, there was no significant difference in PFS or OS between the MRD-HRC and MRD+SRC groups (median PFS 45 vs. 34 m, P = 0.300; 4-year OS 100% vs. 83.6%, P = 0.196). PFS was superior in MRD-SRC than in MRD-HRC (NR vs. 45 m, P = 0.035); however, there was no significant difference in the 4-year OS between MRD-SRC and MRD-HRC (87.5% vs 100%, P = 0.480). MRD+ and HRCs were both independent prognostic factors in MM patients. Moreover, achieving MRD- may ameliorate a poor prognosis in MM patients with HRCs.
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Affiliation(s)
- Hanqing Li
- Department of Hematology, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Feng Li
- Department of Hematology, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Xiaogang Zhou
- Department of Hematology, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Jiangang Mei
- Department of Hematology, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Ping Song
- Department of Hematology, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Zhiming An
- Department of Hematology, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Qian Zhao
- Department of Hematology, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Xing Guo
- Department of Hematology, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Xuli Wang
- Department of Hematology, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Yongping Zhai
- Department of Hematology, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
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Innao V, Allegra A, Russo S, Gerace D, Vaddinelli D, Alonci A, Allegra AG, Musolino C. Standardisation of minimal residual disease in multiple myeloma. Eur J Cancer Care (Engl) 2017; 26. [PMID: 28671297 DOI: 10.1111/ecc.12732] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/01/2017] [Indexed: 12/16/2022]
Abstract
The assessment of the effectiveness of chemotherapy in oncology cannot disregard the concept of minimal residual disease (MRD). In fact, the efforts of numerous scientific groups all over the world are currently focusing on this issue, with the sole purpose of defining sensitive, effective assessment criteria that are, above all, able to give acceptable, easily repeatable results worldwide. Regarding this issue, especially with the advent of new drugs, multiple myeloma is one of the haematologic malignancies for which a consensus has not yet been reached. In this review, we analyse various techniques that have been used to improve the sensitivity of response, aimed at reducing the cut-off values previously allowed, as well as serological values like serum-free light chain, or immunophenotypic tools on bone marrow or peripheral blood, like multi-parameter flow cytometry, or molecular ones such as allele-specific oligonucleotide (ASO)-qPCR and next-generation/high-throughput sequencing technologies (NGS). Moreover, our discussion makes a brief reference to promising techniques, such as mass spectrometry for identifying Ig light chain (LC) in peripheral blood, and the assessment of gene expression profile not only in defining prognostic risk at the diagnosis but also as a tool for evaluation of response.
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Affiliation(s)
- V Innao
- Division of Hematology, Dipartimento di Patologia Umana dell'Adulto e dell'Età Evolutiva, Policlinico G Martino, University of Messina, Messina, Italy
| | - A Allegra
- Division of Hematology, Dipartimento di Patologia Umana dell'Adulto e dell'Età Evolutiva, Policlinico G Martino, University of Messina, Messina, Italy
| | - S Russo
- Division of Hematology, Dipartimento di Patologia Umana dell'Adulto e dell'Età Evolutiva, Policlinico G Martino, University of Messina, Messina, Italy
| | - D Gerace
- Division of Hematology, Dipartimento di Patologia Umana dell'Adulto e dell'Età Evolutiva, Policlinico G Martino, University of Messina, Messina, Italy
| | - D Vaddinelli
- Division of Hematology, Dipartimento di Patologia Umana dell'Adulto e dell'Età Evolutiva, Policlinico G Martino, University of Messina, Messina, Italy
| | - A Alonci
- Division of Hematology, Dipartimento di Patologia Umana dell'Adulto e dell'Età Evolutiva, Policlinico G Martino, University of Messina, Messina, Italy
| | - A G Allegra
- Division of Hematology, Dipartimento di Patologia Umana dell'Adulto e dell'Età Evolutiva, Policlinico G Martino, University of Messina, Messina, Italy
| | - C Musolino
- Division of Hematology, Dipartimento di Patologia Umana dell'Adulto e dell'Età Evolutiva, Policlinico G Martino, University of Messina, Messina, Italy
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Cordone I, Masi S, Carosi M, Vidiri A, Marchesi F, Marino M, Telera S, Pasquale A, Mengarelli A, Conti L, Pescarmona E, Pace A, Carapella CM. Brain stereotactic biopsy flow cytometry for central nervous system lymphoma characterization: advantages and pitfalls. JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH : CR 2016; 35:128. [PMID: 27567676 PMCID: PMC5002320 DOI: 10.1186/s13046-016-0404-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Accepted: 08/09/2016] [Indexed: 01/06/2023]
Abstract
BACKGROUND Brain stereotactic biopsy (SB) followed by conventional histopathology and immunohistochemistry (IHC) is the gold standard approach for primary central nervous system lymphoma (PCNSL) diagnosis. Flow cytometry (FCM) characterization of fine-needle aspiration cytology and core needle biopsies are increasingly utilized to diagnose lymphomas however, no biological data have been published on FCM characterization of fresh single cell suspension from PCNSL SB. The aim of this study was to establish the feasibility and utility of FCM for the diagnosis and characterization of brain lymphomas from a tissue samples obtained by a single SB disaggregation. METHODS Twenty-nine patients with a magnetic resonance suggestive for PCNSL entered the study. A median of 6 SB were performed for each patient. A cell suspension generated from manual tissue disaggregation of a single, unfixed, brain SB, was characterized by FCM. The FCM versus standard approach was prospectively compared. RESULTS FCM and IHC showed an high degree of agreement (89 %) in brain lymphoma identification. By FCM, 16 out of 18 PCNSL were identified within 2 h from biopsy. All were of B cell type, with a heterogeneous CD20 mean fluorescence intensity (MFI), CD10 positive in 3 cases (19 %) with surface Ig light chain restriction documented in 11 cases (69 %). No false positive lymphomas cases were observed. Up to 38 % of the brain leukocyte population consisted of CD8 reactive T cells, in contrast with the CD4 positive lymphocytes of the peripheral blood samples (P < 0.001). By histopathology, 18 B-PCNSL, only one CD10 positive (5 %), 1 primitive neuroectodermal tumor (PNET) and 10 gliomas were diagnosed. A median of 6 days was required for IHC diagnosis. CONCLUSION Complementary to histopathology FCM can contribute to a better characterization of PCNSL, although necrosis and previous steroid treatment can represent a pitfall of this approach. A single brain SB is a valid source for accurate FCM characterization of both lymphoma and reactive lymphocyte population, routinely applicable for antigen intensity quantification and consistently documenting an active mechanism of reactive CD8 T-lymphocytes migration in brain lymphomas. Moreover, FCM confirmed to be more sensitive than IHC for the identification of selected markers.
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Affiliation(s)
- Iole Cordone
- Clinical Pathology, Regina Elena National Cancer Institute, Rome, Italy
| | - Serena Masi
- Clinical Pathology, Regina Elena National Cancer Institute, Rome, Italy
| | | | | | - Francesco Marchesi
- Hematology and Stem Cell Transplant, Regina Elena National Cancer Institute, Rome, Italy
| | - Mirella Marino
- Pathology, Regina Elena National Cancer Institute, Rome, Italy
| | - Stefano Telera
- Neurosurgery, Regina Elena National Cancer Institute, Rome, Italy
| | - Alessia Pasquale
- Clinical Pathology, Regina Elena National Cancer Institute, Rome, Italy
| | - Andrea Mengarelli
- Hematology and Stem Cell Transplant, Regina Elena National Cancer Institute, Rome, Italy
| | - Laura Conti
- Clinical Pathology, Regina Elena National Cancer Institute, Rome, Italy
| | | | - Andrea Pace
- Neuroncology, Regina Elena National Cancer Institute, Rome, Italy
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