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Li S, Zhang E, Cai Z. Liquid biopsy by analysis of circulating myeloma cells and cell-free nucleic acids: a novel noninvasive approach of disease evaluation in multiple myeloma. Biomark Res 2023; 11:27. [PMID: 36890597 PMCID: PMC9997021 DOI: 10.1186/s40364-023-00469-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 02/26/2023] [Indexed: 03/10/2023] Open
Abstract
Multiple myeloma (MM) is an incurable hematological cancer with high spatial- and temporal-heterogeneity. Invasive single-point bone marrow sampling cannot capture the tumor heterogeneity and is difficult to repeat for serial assessments. Liquid biopsy is a technique for identifying and analyzing circulating MM cells and cell products produced by tumors and released into the circulation, allowing for the minimally invasive and comprehensive detection of disease burden and molecular alterations in MM and monitoring treatment response and disease progression. Furthermore, liquid biopsy can provide complementary information to conventional detection approaches and improve their prognostic values. This article reviewed the technologies and applications of liquid biopsy in MM.
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Affiliation(s)
- Shuchan Li
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79, Qingchun Road, Hangzhou, Zhejiang, China.,Institute of Hematology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Enfan Zhang
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79, Qingchun Road, Hangzhou, Zhejiang, China.,Institute of Hematology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Zhen Cai
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79, Qingchun Road, Hangzhou, Zhejiang, China. .,Institute of Hematology, Zhejiang University, Hangzhou, Zhejiang, China.
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Arifuzzman AKM, Asmare N, Ozkaya-Ahmadov T, Civelekoglu O, Wang N, Sarioglu AF. An autonomous microchip for real-time, label-free immune cell analysis. Biosens Bioelectron 2023; 222:114916. [PMID: 36462431 DOI: 10.1016/j.bios.2022.114916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/05/2022] [Accepted: 11/13/2022] [Indexed: 11/21/2022]
Abstract
Characterization of cell populations and identification of distinct subtypes based on surface markers are needed in a variety of applications from basic research and clinical assays to cell manufacturing. Conventional immunophenotyping techniques such as flow cytometry or fluorescence microscopy require immunolabeling of cells, expensive and complex instrumentation, skilled operators, and are therefore incompatible with field deployment and automated cell manufacturing systems. In this work, we introduce an autonomous microchip that can electronically quantify the immunophenotypical composition of a cell suspension. Our microchip identifies different cell subtypes by capturing each in different microfluidic chambers functionalized against the markers of the target populations. All on-chip activity is electronically monitored by an integrated sensor network, which informs an algorithm determining subpopulation fractions from chip-wide immunocapture statistics in real time. Moreover, optimal operational conditions within the chip are enforced through a closed-loop feedback control on the sensor data and the cell flow speed, and hence, the antibody-antigen interaction time is maintained within its optimal range for selective immunocapture. We apply our microchip to analyze a mixture of unlabeled CD4+ and CD8+ T cell sub-populations and then validated the results against flow cytometry measurements. The demonstrated capability to quantitatively analyze immune cells with no labels has the potential to enable not only autonomous biochip-based immunoassays for remote testing but also cell manufacturing bioreactors with built-in, adaptive quality control.
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Affiliation(s)
- A K M Arifuzzman
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Norh Asmare
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Tevhide Ozkaya-Ahmadov
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Ozgun Civelekoglu
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Ningquan Wang
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - A Fatih Sarioglu
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA; Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, 30332, USA; Institute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
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Teixeira A, Carneiro A, Piairo P, Xavier M, Ainla A, Lopes C, Sousa-Silva M, Dias A, Martins AS, Rodrigues C, Pereira R, Pires LR, Abalde-Cela S, Diéguez L. Advances in Microfluidics for the Implementation of Liquid Biopsy in Clinical Routine. Microfluidics and Biosensors in Cancer Research 2022; 1379:553-590. [DOI: 10.1007/978-3-031-04039-9_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Vázquez M, Anfossi L, Ben-Yoav H, Diéguez L, Karopka T, Della Ventura B, Abalde-Cela S, Minopoli A, Di Nardo F, Shukla VK, Teixeira A, Tvarijonaviciute A, Franco-Martínez L. Use of some cost-effective technologies for a routine clinical pathology laboratory. Lab Chip 2021; 21:4330-4351. [PMID: 34664599 DOI: 10.1039/d1lc00658d] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Classically, the need for highly sophisticated instruments with important economic costs has been a major limiting factor for clinical pathology laboratories, especially in developing countries. With the aim of making clinical pathology more accessible, a wide variety of free or economical technologies have been developed worldwide in the last few years. 3D printing and Arduino approaches can provide up to 94% economical savings in hardware and instrumentation in comparison to commercial alternatives. The vast selection of point-of-care-tests (POCT) currently available also limits the need for specific instruments or personnel, as they can be used almost anywhere and by anyone. Lastly, there are dozens of free and libre digital tools available in health informatics. This review provides an overview of the state-of-the-art on cost-effective alternatives with applications in routine clinical pathology laboratories. In this context, a variety of technologies including 3D printing and Arduino, lateral flow assays, plasmonic biosensors, and microfluidics, as well as laboratory information systems, are discussed. This review aims to serve as an introduction to different technologies that can make clinical pathology more accessible and, therefore, contribute to achieve universal health coverage.
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Affiliation(s)
- Mercedes Vázquez
- National Centre For Sensor Research, School of Chemical Sciences, Dublin City University, Glasnevin, Dublin 9, Ireland
| | - Laura Anfossi
- Department of Chemistry, University of Turin, Via Giuria, 5, I-10125 Turin, Italy
| | - Hadar Ben-Yoav
- Nanobioelectronics Laboratory (NBEL), Department of Biomedical Engineering, Ilse Katz Institute of Nanoscale Science and Technology, Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel
| | - Lorena Diéguez
- Medical Devices Research Group, International Iberian Nanotechnology Laboratory - INL, 4715-330 Braga, Portugal
| | | | - Bartolomeo Della Ventura
- Department of Physics "E. Pancini", University of Naples Federico II, Via Cintia 26, I-80126 Napoli, Italy
| | - Sara Abalde-Cela
- Medical Devices Research Group, International Iberian Nanotechnology Laboratory - INL, 4715-330 Braga, Portugal
| | - Antonio Minopoli
- Department of Physics "E. Pancini", University of Naples Federico II, Via Cintia 26, I-80126 Napoli, Italy
| | - Fabio Di Nardo
- Department of Chemistry, University of Turin, Via Giuria, 5, I-10125 Turin, Italy
| | - Vikas Kumar Shukla
- Nanobioelectronics Laboratory (NBEL), Department of Biomedical Engineering, Ilse Katz Institute of Nanoscale Science and Technology, Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel
| | - Alexandra Teixeira
- Medical Devices Research Group, International Iberian Nanotechnology Laboratory - INL, 4715-330 Braga, Portugal
| | - Asta Tvarijonaviciute
- Interdisciplinary Laboratory of Clinical Pathology, Interlab-UMU, Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, 30100 Murcia, Spain.
| | - Lorena Franco-Martínez
- Interdisciplinary Laboratory of Clinical Pathology, Interlab-UMU, Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, 30100 Murcia, Spain.
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Pahattuge TN, Freed IM, Hupert ML, Vaidyanathan S, Childers K, Witek MA, Weerakoon-Ratnayake K, Park D, Kasi A, Al-Kasspooles MF, Murphy MC, Soper SA. System Modularity Chip for Analysis of Rare Targets (SMART-Chip): Liquid Biopsy Samples. ACS Sens 2021; 6:1831-1839. [PMID: 33938745 DOI: 10.1021/acssensors.0c02728] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Liquid biopsies are becoming popular for managing a variety of diseases due to the minimally invasive nature of their acquisition, thus potentially providing better outcomes for patients. Circulating tumor cells (CTCs) are among the many different biomarkers secured from a liquid biopsy, and a number of efficient platforms for their isolation and enrichment from blood have been reported. However, many of these platforms require manual sample handling, which can generate difficulties when translating CTC assays into the clinic due to potential sample loss, contamination, and the need for highly specialized operators. We report a system modularity chip for the analysis of rare targets (SMART-Chip) composed of three task-specific modules that can fully automate processing of CTCs. The modules were used for affinity selection of the CTCs from peripheral blood with subsequent photorelease, simultaneous counting, and viability determinations of the CTCs and staining/imaging of the CTCs for immunophenotyping. The modules were interconnected to a fluidic motherboard populated with valves, interconnects, pneumatic control channels, and a fluidic network. The SMART-Chip components were made from thermoplastics via microreplication, which lowers the cost of production making it amenable to clinical implementation. The utility of the SMART-Chip was demonstrated by processing blood samples secured from colorectal cancer (CRC) and pancreatic ductal adenocarcinoma (PDAC) patients. We were able to affinity-select EpCAM expressing CTCs with high purity (0-3 white blood cells/mL of blood), enumerate the selected cells, determine their viability, and immunophenotype the cells. The assay could be completed in <4 h, while manual processing required >8 h.
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Affiliation(s)
- Thilanga N. Pahattuge
- Department of Chemistry, University of Kansas, 1567 Irving Hill Road, Lawrence, Kansas 66045, United States
- Center of BioModular Multi-scale Systems for Precision Medicine, University of Kansas, Lawrence, Kansas 66045, United States
| | - Ian M. Freed
- Department of Chemistry, University of Kansas, 1567 Irving Hill Road, Lawrence, Kansas 66045, United States
- Center of BioModular Multi-scale Systems for Precision Medicine, University of Kansas, Lawrence, Kansas 66045, United States
| | - Mateusz L. Hupert
- BioFluidica, Inc., 1567 Irving Hill Road, Lawrence, Kansas 66045, United States
| | - Swarnagowri Vaidyanathan
- Center of BioModular Multi-scale Systems for Precision Medicine, University of Kansas, Lawrence, Kansas 66045, United States
- Department of BioEngineering, University of Kansas, 1530 West 15th Street, Lawrence, Kansas 66045, United States
| | - Katie Childers
- Center of BioModular Multi-scale Systems for Precision Medicine, University of Kansas, Lawrence, Kansas 66045, United States
- Department of BioEngineering, University of Kansas, 1530 West 15th Street, Lawrence, Kansas 66045, United States
| | - Malgorzata A. Witek
- Department of Chemistry, University of Kansas, 1567 Irving Hill Road, Lawrence, Kansas 66045, United States
- Center of BioModular Multi-scale Systems for Precision Medicine, University of Kansas, Lawrence, Kansas 66045, United States
| | - Kumuditha Weerakoon-Ratnayake
- Department of Chemistry, University of Kansas, 1567 Irving Hill Road, Lawrence, Kansas 66045, United States
- Center of BioModular Multi-scale Systems for Precision Medicine, University of Kansas, Lawrence, Kansas 66045, United States
| | - Daniel Park
- Center of BioModular Multi-scale Systems for Precision Medicine, University of Kansas, Lawrence, Kansas 66045, United States
- Department of Mechanical & Industrial Engineering, Louisiana State University, 3261 Patrick F. Taylor Hall, Baton Rouge, Louisiana 70803, United States
| | - Anup Kasi
- Department of Medical Oncology, University of Kansas Medical Center, Kansas City, Kansas 66160, United States
| | - Mazin F Al-Kasspooles
- Department of Medical Oncology, University of Kansas Medical Center, Kansas City, Kansas 66160, United States
| | - Michael C. Murphy
- Center of BioModular Multi-scale Systems for Precision Medicine, University of Kansas, Lawrence, Kansas 66045, United States
- Department of Mechanical & Industrial Engineering, Louisiana State University, 3261 Patrick F. Taylor Hall, Baton Rouge, Louisiana 70803, United States
| | - Steven A. Soper
- Department of Chemistry, University of Kansas, 1567 Irving Hill Road, Lawrence, Kansas 66045, United States
- Center of BioModular Multi-scale Systems for Precision Medicine, University of Kansas, Lawrence, Kansas 66045, United States
- BioFluidica, Inc., 1567 Irving Hill Road, Lawrence, Kansas 66045, United States
- Department of BioEngineering, University of Kansas, 1530 West 15th Street, Lawrence, Kansas 66045, United States
- Department of Mechanical Engineering, University of Kansas, 3138 Learned Hall, 1530 West 15th Street, Lawrence, Kansas 66045, United States
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Alix-Panabières C. "Circulating Tumor Cells: Finding Rare Events for a Huge Knowledge of Cancer Dissemination". Cells 2020; 9:cells9030661. [PMID: 32182830 PMCID: PMC7140633 DOI: 10.3390/cells9030661] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 03/05/2020] [Indexed: 12/12/2022] Open
Affiliation(s)
- Catherine Alix-Panabières
- Laboratory of Rare Human Circulating Cells (LCCRH), University Medical Centre of Montpellier, 641 Avenue du Doyen Gaston Giraud, 34093 Montpellier CEDEX 5, France
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