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Merteroglu M, Santoro MM. Exploiting the metabolic vulnerability of circulating tumour cells. Trends Cancer 2024; 10:541-556. [PMID: 38580535 DOI: 10.1016/j.trecan.2024.03.004] [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: 11/22/2023] [Revised: 03/11/2024] [Accepted: 03/12/2024] [Indexed: 04/07/2024]
Abstract
Metastasis has a major part in the severity of disease and lethality of cancer. Circulating tumour cells (CTCs) represent a reservoir of metastatic precursors in circulation, most of which cannot survive due to hostile conditions in the bloodstream. Surviving cells colonise a secondary site based on a combination of physical, metabolic, and oxidative stress protection states required for that environment. Recent advances in CTC isolation methods and high-resolution 'omics technologies are revealing specific metabolic pathways that support this selection of CTCs. In this review, we discuss recent advances in our understanding of CTC biology and discoveries of adaptations in metabolic pathways during their selection. Understanding these traits and delineating mechanisms by which they confer acquired resistance or vulnerability in CTCs is crucial for developing successful prognostic and therapeutic strategies in cancer.
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2
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Wang J, Liu X, Li J, Chen W. Digital Circulating Tumor Cells Quantification. Anal Chem 2024; 96:6881-6888. [PMID: 38659346 DOI: 10.1021/acs.analchem.3c02769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Circulating tumor cells (CTCs) are an emerging but vital biomarker for cancer management. An efficient methodology for accurately quantifying CTCs remains challenging due to their rareness. Here, we develop a digital CTC detection strategy using partitioning instead of enrichment to quantify CTCs. By utilizing the characteristics of droplet microfluidics that can rapidly generate a large number of parallel independent reactors, combined with Poisson distribution, we realize the quantification of CTCs in the blood directly. The limit of detection of our digital CTCs quantification assay is five cells per 5 mL of whole blood. By simultaneously detecting multiple genetic mutations, our approach achieves highly sensitive and specific detection of CTCs in peripheral blood from NSCLC patients (AUC = 1). Our digital platform offers a potential approach and strategy for the quantification of CTCs, which could contribute to the advancement of cancer medical management.
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Affiliation(s)
- Jidong Wang
- Medical Research Center, Huazhong University of Science and Technology Union Shenzhen Hospital, the Sixth Affiliated Hospital, Shenzhen University Medical School, Shenzhen University, Shenzhen 518052, People's Republic of China
| | - Xiaolei Liu
- School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, People's Republic of China
| | - Jiang Li
- Gynecology Department, Huazhong University of Science and Technology Union Shenzhen Hospital, the Sixth Affiliated Hospital, Shenzhen University Medical School, Shenzhen University, Shenzhen 518052, People's Republic of China
| | - Wenwen Chen
- School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, People's Republic of China
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3
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Dong Z, Wang Y, Xu G, Liu B, Wang Y, Reboud J, Jajesniak P, Yan S, Ma P, Liu F, Zhou Y, Jin Z, Yang K, Huang Z, Zhuo M, Jia B, Fang J, Zhang P, Wu N, Yang M, Cooper JM, Chang L. Genetic and phenotypic profiling of single living circulating tumor cells from patients with microfluidics. Proc Natl Acad Sci U S A 2024; 121:e2315168121. [PMID: 38683997 PMCID: PMC11087790 DOI: 10.1073/pnas.2315168121] [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: 09/11/2023] [Accepted: 03/08/2024] [Indexed: 05/02/2024] Open
Abstract
Accurate prediction of the efficacy of immunotherapy for cancer patients through the characterization of both genetic and phenotypic heterogeneity in individual patient cells holds great promise in informing targeted treatments, and ultimately in improving care pathways and clinical outcomes. Here, we describe the nanoplatform for interrogating living cell host-gene and (micro-)environment (NICHE) relationships, that integrates micro- and nanofluidics to enable highly efficient capture of circulating tumor cells (CTCs) from blood samples. The platform uses a unique nanopore-enhanced electrodelivery system that efficiently and rapidly integrates stable multichannel fluorescence probes into living CTCs for in situ quantification of target gene expression, while on-chip coculturing of CTCs with immune cells allows for the real-time correlative quantification of their phenotypic heterogeneities in response to immune checkpoint inhibitors (ICI). The NICHE microfluidic device provides a unique ability to perform both gene expression and phenotypic analysis on the same single cells in situ, allowing us to generate a predictive index for screening patients who could benefit from ICI. This index, which simultaneously integrates the heterogeneity of single cellular responses for both gene expression and phenotype, was validated by clinically tracing 80 non-small cell lung cancer patients, demonstrating significantly higher AUC (area under the curve) (0.906) than current clinical reference for immunotherapy prediction.
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Affiliation(s)
- Zaizai Dong
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing100191, China
- School of Engineering Medicine, Beihang University, Beijing100191, China
| | - Yusen Wang
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing100191, China
| | - Gaolian Xu
- Shanghai Sci-Tech InnoCenter for Infection and Immunity, Shanghai200438, China
| | - Bing Liu
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing100142, China
| | - Yang Wang
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing100191, China
- School of Engineering Medicine, Beihang University, Beijing100191, China
| | - Julien Reboud
- Division of Biomedical Engineering, University of Glasgow, G12 8LTGlasgow, United Kingdom
| | - Pawel Jajesniak
- Division of Biomedical Engineering, University of Glasgow, G12 8LTGlasgow, United Kingdom
| | - Shi Yan
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing100142, China
| | - Pingchuan Ma
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing100191, China
| | - Feng Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing100191, China
| | - Yuhao Zhou
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing100191, China
| | - Zhiyuan Jin
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing100191, China
| | - Kuan Yang
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing100191, China
| | - Zhaocun Huang
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing100191, China
| | - Minglei Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing100142, China
| | - Bo Jia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing100142, China
| | - Jian Fang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology II, Peking University Cancer Hospital and Institute, Beijing100142, China
| | - Panpan Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology II, Peking University Cancer Hospital and Institute, Beijing100142, China
| | - Nan Wu
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing100142, China
| | - Mingzhu Yang
- Beijing Research Institute of Mechanical Equipment, Beijing100143, China
| | - Jonathan M. Cooper
- Division of Biomedical Engineering, University of Glasgow, G12 8LTGlasgow, United Kingdom
| | - Lingqian Chang
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing100191, China
- School of Biomedical Engineering, Research and Engineering Center of Biomedical Materials, Anhui Medical University, Hefei230032, China
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4
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Jakab M, Lee KH, Uvarovskii A, Ovchinnikova S, Kulkarni SR, Jakab S, Rostalski T, Spegg C, Anders S, Augustin HG. Lung endothelium exploits susceptible tumor cell states to instruct metastatic latency. NATURE CANCER 2024; 5:716-730. [PMID: 38308117 PMCID: PMC11136671 DOI: 10.1038/s43018-023-00716-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 12/15/2023] [Indexed: 02/04/2024]
Abstract
In metastasis, cancer cells travel around the circulation to colonize distant sites. Due to the rarity of these events, the immediate fates of metastasizing tumor cells (mTCs) are poorly understood while the role of the endothelium as a dissemination interface remains elusive. Using a newly developed combinatorial mTC enrichment approach, we provide a transcriptional blueprint of the early colonization process. Following their arrest at the metastatic site, mTCs were found to either proliferate intravascularly or extravasate, thereby establishing metastatic latency. Endothelial-derived angiocrine Wnt factors drive this bifurcation, instructing mTCs to follow the extravasation-latency route. Surprisingly, mTC responsiveness towards niche-derived Wnt was established at the epigenetic level, which predetermined tumor cell behavior. Whereas hypomethylation enabled high Wnt activity leading to metastatic latency, methylated mTCs exhibited low activity and proliferated intravascularly. Collectively the data identify the predetermined methylation status of disseminated tumor cells as a key regulator of mTC behavior in the metastatic niche.
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Affiliation(s)
- Moritz Jakab
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.
- Division of Vascular Oncology and Metastasis, German Cancer Research Center Heidelberg (DKFZ-ZMBH Alliance), Heidelberg, Germany.
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany.
| | - Ki Hong Lee
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
- Division of Vascular Oncology and Metastasis, German Cancer Research Center Heidelberg (DKFZ-ZMBH Alliance), Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Alexey Uvarovskii
- Center for Molecular Biology, Heidelberg University, Heidelberg, Germany
- Evotec SE, Göttingen, Germany
| | - Svetlana Ovchinnikova
- Center for Molecular Biology, Heidelberg University, Heidelberg, Germany
- Bioquant Center, Heidelberg University, Heidelberg, Germany
| | - Shubhada R Kulkarni
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
- Division of Vascular Oncology and Metastasis, German Cancer Research Center Heidelberg (DKFZ-ZMBH Alliance), Heidelberg, Germany
| | - Sevinç Jakab
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Till Rostalski
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
- Division of Vascular Oncology and Metastasis, German Cancer Research Center Heidelberg (DKFZ-ZMBH Alliance), Heidelberg, Germany
| | - Carleen Spegg
- Division of Vascular Oncology and Metastasis, German Cancer Research Center Heidelberg (DKFZ-ZMBH Alliance), Heidelberg, Germany
| | - Simon Anders
- Center for Molecular Biology, Heidelberg University, Heidelberg, Germany
- Bioquant Center, Heidelberg University, Heidelberg, Germany
| | - Hellmut G Augustin
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.
- Division of Vascular Oncology and Metastasis, German Cancer Research Center Heidelberg (DKFZ-ZMBH Alliance), Heidelberg, Germany.
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5
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Liu W, Ma J, Zhang J, Cao J, Hu X, Huang Y, Wang R, Wu J, Di W, Qian K, Yin X. Identification and validation of serum metabolite biomarkers for endometrial cancer diagnosis. EMBO Mol Med 2024; 16:988-1003. [PMID: 38355748 PMCID: PMC11018850 DOI: 10.1038/s44321-024-00033-1] [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: 09/23/2023] [Revised: 01/24/2024] [Accepted: 01/26/2024] [Indexed: 02/16/2024] Open
Abstract
Endometrial cancer (EC) stands as the most prevalent gynecological tumor in women worldwide. Notably, differentiation diagnosis of abnormity detected by ultrasound findings (e.g., thickened endometrium or mass in the uterine cavity) is essential and remains challenging in clinical practice. Herein, we identified a metabolic biomarker panel for differentiation diagnosis of EC using machine learning of high-performance serum metabolic fingerprints (SMFs) and validated the biological function. We first recorded the high-performance SMFs of 191 EC and 204 Non-EC subjects via particle-enhanced laser desorption/ionization mass spectrometry (PELDI-MS). Then, we achieved an area-under-the-curve (AUC) of 0.957-0.968 for EC diagnosis through machine learning of high-performance SMFs, outperforming the clinical biomarker of cancer antigen 125 (CA-125, AUC of 0.610-0.684, p < 0.05). Finally, we identified a metabolic biomarker panel of glutamine, glucose, and cholesterol linoleate with an AUC of 0.901-0.902 and validated the biological function in vitro. Therefore, our work would facilitate the development of novel diagnostic biomarkers for EC in clinics.
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Affiliation(s)
- Wanshan Liu
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China
- School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Jinglan Ma
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China
| | - Juxiang Zhang
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China
- School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Jing Cao
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China
- School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Xiaoxiao Hu
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China
| | - Yida Huang
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China
- School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Ruimin Wang
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China
- School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Jiao Wu
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China
- School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Wen Di
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China.
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China.
| | - Kun Qian
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China.
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China.
- School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China.
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China.
| | - Xia Yin
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China.
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, 200127, P. R. China.
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Tian T, Lin S, Yang C. Beyond single cells: microfluidics empowering multiomics analysis. Anal Bioanal Chem 2024; 416:2203-2220. [PMID: 38008783 DOI: 10.1007/s00216-023-05028-4] [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: 09/09/2023] [Revised: 10/26/2023] [Accepted: 10/30/2023] [Indexed: 11/28/2023]
Abstract
Single-cell multiomics technologies empower simultaneous measurement of multiple types of molecules within individual cells, providing a more profound comprehension compared with the analysis of discrete molecular layers from different cells. Microfluidic technology, on the other hand, has emerged as a pivotal facilitator for high-throughput single-cell analysis, offering precise control and manipulation of individual cells. The primary focus of this review encompasses an appraisal of cutting-edge microfluidic platforms employed in the realm of single-cell multiomics analysis. Furthermore, it discusses technological advancements in various single-cell omics such as genomics, transcriptomics, epigenomics, and proteomics, with their perspective applications. Finally, it provides future prospects of these integrated single-cell multiomics methodologies, shedding light on the possibilities for future biological research.
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Affiliation(s)
- Tian Tian
- Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China
| | - Shichao Lin
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province, Xiamen, 361005, China
| | - Chaoyong Yang
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province, Xiamen, 361005, China.
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China.
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7
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Pouryosef M, Abedini-Nassab R, Akrami SMR. A Novel Framework for Epileptic Seizure Detection Using Electroencephalogram Signals Based on the Bat Feature Selection Algorithm. Neuroscience 2024; 541:35-49. [PMID: 38301741 DOI: 10.1016/j.neuroscience.2024.01.014] [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: 08/11/2023] [Revised: 01/11/2024] [Accepted: 01/16/2024] [Indexed: 02/03/2024]
Abstract
The precise electroencephalogram (EEG) signal classification with the highest possible accuracy is a key goal in the brain-computer interface (BCI). Considering the complexity and nonstationary nature of the EEG signals, there is an urgent need for effective feature extraction and data mining techniques. Here, we introduce a novel pipeline based on Bat and genetic algorithms for feature construction and dimension reduction of EEG signals. After wavelet extraction and segmentation, the Bat algorithm identifies the most relevant features. We use these features and a genetic algorithm combined with a neural network method to automatically classify the segments of the epilepsy EEG signals. We also use available classification methods based on k-Nearest Neighbors or naïve Bayes for comparison purposes. The code distinguishes individual signals within various combinations of data obtained from healthy volunteers with open or closed eyes and patients suffering from epilepsy disorders during seizure-free periods or seizure activities. Compared to the previously introduced methods, our proposed framework demonstrates a superior balance of high accuracy and short runtime. The minimum achieved accuracies for balanced and unbalanced classes are 100% and 75.9%, respectively. This approach has the potential for direct applications in clinics, enabling accurate and rapid analysis of the epilepsy EEG signals obtained from patients.
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Affiliation(s)
- Mahrad Pouryosef
- Division of Mechatronics Engineering, Faculty of Mechanical Engineering, University of Tabriz, 29 Bahman Blvd, Tabriz 51666 14761, Iran
| | | | - Seyed Mohammad Reza Akrami
- Division of Mechatronics Engineering, Faculty of Mechanical Engineering, University of Tabriz, 29 Bahman Blvd, Tabriz 51666 14761, Iran
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8
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Lin S, Feng D, Han X, Li L, Lin Y, Gao H. Microfluidic platform for omics analysis on single cells with diverse morphology and size: A review. Anal Chim Acta 2024; 1294:342217. [PMID: 38336406 DOI: 10.1016/j.aca.2024.342217] [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: 08/29/2023] [Revised: 01/04/2024] [Accepted: 01/04/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND Microfluidic techniques have emerged as powerful tools in single-cell research, facilitating the exploration of omics information from individual cells. Cell morphology is crucial for gene expression and physiological processes. However, there is currently a lack of integrated analysis of morphology and single-cell omics information. A critical challenge remains: what platform technologies are the best option to decode omics data of cells that are complex in morphology and size? RESULTS This review highlights achievements in microfluidic-based single-cell omics and isolation of cells based on morphology, along with other cell sorting methods based on physical characteristics. Various microfluidic platforms for single-cell isolation are systematically presented, showcasing their diversity and adaptability. The discussion focuses on microfluidic devices tailored to the distinct single-cell isolation requirements in plants and animals, emphasizing the significance of considering cell morphology and cell size in optimizing single-cell omics strategies. Simultaneously, it explores the application of microfluidic single-cell sorting technologies to single-cell sequencing, aiming to effectively integrate information about cell shape and size. SIGNIFICANCE AND NOVELTY The novelty lies in presenting a comprehensive overview of recent accomplishments in microfluidic-based single-cell omics, emphasizing the integration of different microfluidic platforms and their implications for cell morphology-based isolation. By underscoring the pivotal role of the specialized morphology of different cells in single-cell research, this review provides robust support for delving deeper into the exploration of single-cell omics data.
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Affiliation(s)
- Shujin Lin
- Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China; Central Laboratory at the Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fujian-Macao Science and Technology Cooperation Base of Traditional Chinese Medicine-Oriented Chronic Disease Prevention and Treatment, Innovation and Transformation Center, Fujian University of Traditional Chinese Medicine, China
| | - Dan Feng
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xiao Han
- College of Biological Science and Engineering, Fuzhou University, Fuzhou, 350108, China.
| | - Ling Li
- Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China; The First Clinical Medical College of Fujian Medical University, Fuzhou, 350004, China; Hepatopancreatobiliary Surgery Department, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350004, China.
| | - Yao Lin
- Central Laboratory at the Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fujian-Macao Science and Technology Cooperation Base of Traditional Chinese Medicine-Oriented Chronic Disease Prevention and Treatment, Innovation and Transformation Center, Fujian University of Traditional Chinese Medicine, China; Collaborative Innovation Center for Rehabilitation Technology, Fujian University of Traditional Chinese Medicine, China.
| | - Haibing Gao
- Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China.
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9
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Chen Y, Wang X, Na X, Zhang Y, Li Z, Chen X, Cai L, Song J, Xu R, Yang C. Highly Multiplexed, Efficient, and Automated Single-Cell MicroRNA Sequencing with Digital Microfluidics. SMALL METHODS 2024; 8:e2301250. [PMID: 38016072 DOI: 10.1002/smtd.202301250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/14/2023] [Indexed: 11/30/2023]
Abstract
Single-cell microRNA (miRNA) sequencing has allowed for comprehensively studying the abundance and complex networks of miRNAs, which provides insights beyond single-cell heterogeneity into the dynamic regulation of cellular events. Current benchtop-based technologies for single-cell miRNA sequencing are low throughput, limited reaction efficiency, tedious manual operations, and high reagent costs. Here, a highly multiplexed, efficient, integrated, and automated sample preparation platform is introduced for single-cell miRNA sequencing based on digital microfluidics (DMF), named Hiper-seq. The platform integrates major steps and automates the iterative operations of miRNA sequencing library construction by digital control of addressable droplets on the DMF chip. Based on the design of hydrophilic micro-structures and the capability of handling droplets of DMF, multiple single cells can be selectively isolated and subject to sample processing in a highly parallel way, thus increasing the throughput and efficiency for single-cell miRNA measurement. The nanoliter reaction volume of this platform enables a much higher miRNA detection ability and lower reagent cost compared to benchtop methods. It is further applied Hiper-seq to explore miRNAs involved in the ossification of mouse skeletal stem cells after bone fracture and discovered unreported miRNAs that regulate bone repairing.
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Affiliation(s)
- Yingwen Chen
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, Key Laboratory of Analytical Chemistry, and Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Xuanqun Wang
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, Key Laboratory of Analytical Chemistry, and Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Xing Na
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, Key Laboratory of Analytical Chemistry, and Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Yingkun Zhang
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, Key Laboratory of Analytical Chemistry, and Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Zan Li
- Department of Sports Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Xiaohui Chen
- State Key Laboratory of Cellular Stress Biology, The First Affiliated Hospital of Xiamen University-ICMRS Collaborating Center for Skeletal Stem Cell, School of Medicine, Xiamen University, Xiamen, 361100, China
- Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, 361100, China
| | - Linfeng Cai
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, Key Laboratory of Analytical Chemistry, and Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Jia Song
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Ren Xu
- State Key Laboratory of Cellular Stress Biology, The First Affiliated Hospital of Xiamen University-ICMRS Collaborating Center for Skeletal Stem Cell, School of Medicine, Xiamen University, Xiamen, 361100, China
- Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, 361100, China
| | - Chaoyong Yang
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, Key Laboratory of Analytical Chemistry, and Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
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10
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Xie Q, Liu S, Zhang S, Liao L, Xiao Z, Wang S, Zhang P. Research progress on the multi-omics and survival status of circulating tumor cells. Clin Exp Med 2024; 24:49. [PMID: 38427120 PMCID: PMC10907490 DOI: 10.1007/s10238-024-01309-z] [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: 11/22/2023] [Accepted: 02/08/2024] [Indexed: 03/02/2024]
Abstract
In the dynamic process of metastasis, circulating tumor cells (CTCs) emanate from the primary solid tumor and subsequently acquire the capacity to disengage from the basement membrane, facilitating their infiltration into the vascular system via the interstitial tissue. Given the pivotal role of CTCs in the intricate hematogenous metastasis, they have emerged as an essential resource for a deeper comprehension of cancer metastasis while also serving as a cornerstone for the development of new indicators for early cancer screening and new therapeutic targets. In the epoch of precision medicine, as CTC enrichment and separation technologies continually advance and reach full fruition, the domain of CTC research has transcended the mere straightforward detection and quantification. The rapid advancement of CTC analysis platforms has presented a compelling opportunity for in-depth exploration of CTCs within the bloodstream. Here, we provide an overview of the current status and research significance of multi-omics studies on CTCs, including genomics, transcriptomics, proteomics, and metabolomics. These studies have contributed to uncovering the unique heterogeneity of CTCs and identifying potential metastatic targets as well as specific recognition sites. We also review the impact of various states of CTCs in the bloodstream on their metastatic potential, such as clustered CTCs, interactions with other blood components, and the phenotypic states of CTCs after undergoing epithelial-mesenchymal transition (EMT). Within this context, we also discuss the therapeutic implications and potential of CTCs.
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Affiliation(s)
- Qingming Xie
- NHC Key Laboratory of Cancer Proteomics, Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Shilei Liu
- NHC Key Laboratory of Cancer Proteomics, Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Sai Zhang
- NHC Key Laboratory of Cancer Proteomics, Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Liqiu Liao
- Department of Breast Surgery, Hunan Clinical Meditech Research Center for Breast Cancer, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Zhi Xiao
- Department of Breast Surgery, Hunan Clinical Meditech Research Center for Breast Cancer, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Shouman Wang
- Department of Breast Surgery, Hunan Clinical Meditech Research Center for Breast Cancer, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
| | - Pengfei Zhang
- NHC Key Laboratory of Cancer Proteomics, Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
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11
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Igder S, Zamani M, Fakher S, Siri M, Ashktorab H, Azarpira N, Mokarram P. Circulating Nucleic Acids in Colorectal Cancer: Diagnostic and Prognostic Value. DISEASE MARKERS 2024; 2024:9943412. [PMID: 38380073 PMCID: PMC10878755 DOI: 10.1155/2024/9943412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 01/07/2024] [Accepted: 01/25/2024] [Indexed: 02/22/2024]
Abstract
Colorectal cancer (CRC) is the third most prevalent cancer in the world and the fourth leading cause of cancer-related mortality. DNA (cfDNA/ctDNA) and RNA (cfRNA/ctRNA) in the blood are promising noninvasive biomarkers for molecular profiling, screening, diagnosis, treatment management, and prognosis of CRC. Technological advancements that enable precise detection of both genetic and epigenetic abnormalities, even in minute quantities in circulation, can overcome some of these challenges. This review focuses on testing for circulating nucleic acids in the circulation as a noninvasive method for CRC detection, monitoring, detection of minimal residual disease, and patient management. In addition, the benefits and drawbacks of various diagnostic techniques and associated bioinformatics tools have been detailed.
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Affiliation(s)
- Somayeh Igder
- Department of Clinical Biochemistry, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Mozhdeh Zamani
- Autophagy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
- Department of Biochemistry, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Shima Fakher
- Department of Biochemistry, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Morvarid Siri
- Autophagy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Hassan Ashktorab
- Department of Medicine, Gastroenterology Division and Cancer Center, Howard University College of Medicine, Washington, DC, USA
| | - Negar Azarpira
- Autophagy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Pooneh Mokarram
- Autophagy Research Center, Department of Biochemistry, Shiraz University of Medical Sciences, Shiraz, Iran
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12
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Fontana R, Mestre-Farrera A, Yang J. Update on Epithelial-Mesenchymal Plasticity in Cancer Progression. ANNUAL REVIEW OF PATHOLOGY 2024; 19:133-156. [PMID: 37758242 PMCID: PMC10872224 DOI: 10.1146/annurev-pathmechdis-051222-122423] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
Epithelial-mesenchymal transition (EMT) is a cellular process by which epithelial cells lose their characteristics and acquire mesenchymal traits to promote cell movement. This program is aberrantly activated in human cancers and endows tumor cells with increased abilities in tumor initiation, cell migration, invasion, metastasis, and therapy resistance. The EMT program in tumors is rarely binary and often leads to a series of gradual or intermediate epithelial-mesenchymal states. Functionally, epithelial-mesenchymal plasticity (EMP) improves the fitness of cancer cells during tumor progression and in response to therapies. Here, we discuss the most recent advances in our understanding of the diverse roles of EMP in tumor initiation, progression, metastasis, and therapy resistance and address major clinical challenges due to EMP-driven phenotypic heterogeneity in cancer. Uncovering novel molecular markers and key regulators of EMP in cancer will aid the development of new therapeutic strategies to prevent cancer recurrence and overcome therapy resistance.
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Affiliation(s)
- Rosa Fontana
- Department of Pharmacology, Moores Cancer Center, University of California San Diego School of Medicine, La Jolla, California, USA;
| | - Aida Mestre-Farrera
- Department of Pharmacology, Moores Cancer Center, University of California San Diego School of Medicine, La Jolla, California, USA;
| | - Jing Yang
- Department of Pharmacology, Moores Cancer Center, University of California San Diego School of Medicine, La Jolla, California, USA;
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
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13
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Najafi S, Majidpoor J, Mortezaee K. Liquid biopsy in colorectal cancer. Clin Chim Acta 2024; 553:117674. [PMID: 38007059 DOI: 10.1016/j.cca.2023.117674] [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: 09/09/2023] [Revised: 11/16/2023] [Accepted: 11/20/2023] [Indexed: 11/27/2023]
Abstract
Liquid biopsy refers to a set of pathological samples retrieved from non-solid sources, such as blood, cerebrospinal fluid, urine, and saliva through non-invasive or minimally invasive approaches. In the recent decades, an increasing number of studies have focused on clinical applications and improving technological investigation of liquid biopsy biosources for diagnostic goals particularly in cancer. Materials extracted from these sources and used for medical evaluations include cells like circulating tumor cells (CTCs), tumor-educated platelets (TEPs), cell-free nucleic acids released by cells, such as circulating tumor DNA (ctDNA), cell-free DNA (cfDNA), cell-free RNA (cfRNA), and exosomes. Playing significant roles in the pathogenesis of human malignancies, analysis of these sources can provide easier access to genetic and transcriptomic information of the cancer tissue even better than the conventional tissue biopsy. Notably, they can represent the inter- and intra-tumoral heterogeneity and accordingly, liquid biopsies demonstrate strengths for improving diagnosis in early detection and screening, monitoring and follow-up after therapies, and personalization of therapeutical strategies in various types of human malignancies. In this review, we aim to discuss the roles, functions, and analysis approaches of liquid biopsy sources and their clinical implications in human malignancies with a focus on colorectal cancer.
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Affiliation(s)
- Sajad Najafi
- Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Cellular and Molecular Biology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Jamal Majidpoor
- Department of Anatomy, School of Medicine, Infectious Diseases Research Center, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Keywan Mortezaee
- Department of Anatomy, School of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran.
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14
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Hongo H, Kosaka T, Takayama KI, Baba Y, Yasumizu Y, Ueda K, Suzuki Y, Inoue S, Beltran H, Oya M. G-protein signaling of oxytocin receptor as a potential target for cabazitaxel-resistant prostate cancer. PNAS NEXUS 2024; 3:pgae002. [PMID: 38250514 PMCID: PMC10799637 DOI: 10.1093/pnasnexus/pgae002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 12/27/2023] [Indexed: 01/23/2024]
Abstract
Although the treatment armamentarium for patients with metastatic prostate cancer has improved recently, treatment options after progression on cabazitaxel (CBZ) are limited. To identify the mechanisms underlying CBZ resistance and therapeutic targets, we performed single-cell RNA sequencing of circulating tumor cells (CTCs) from patients with CBZ-resistant prostate cancer. Cells were clustered based on gene expression profiles. In silico screening was used to nominate candidate drugs for overcoming CBZ resistance in castration-resistant prostate cancer. CTCs were divided into three to four clusters, reflecting intrapatient tumor heterogeneity in refractory prostate cancer. Pathway analysis revealed that clusters in two cases showed up-regulation of the oxytocin (OXT) receptor-signaling pathway. Spatial gene expression analysis of CBZ-resistant prostate cancer tissues confirmed the heterogeneous expression of OXT-signaling molecules. Cloperastine (CLO) had significant antitumor activity against CBZ-resistant prostate cancer cells. Mass spectrometric phosphoproteome analysis revealed the suppression of OXT signaling specific to CBZ-resistant models. These results support the potential of CLO as a candidate drug for overcoming CBZ-resistant prostate cancer via the inhibition of OXT signaling.
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Affiliation(s)
- Hiroshi Hongo
- Department of Urology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Takeo Kosaka
- Department of Urology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Ken-Ichi Takayama
- Department of Systems Aging Science and Medicine, Tokyo Metropolitan Institute of Gerontology, Itabashi-ku, Tokyo 173-001, Japan
| | - Yuto Baba
- Department of Urology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Yota Yasumizu
- Department of Urology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Koji Ueda
- Cancer Proteomics Group, Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Koto-ku, Tokyo 135-8550, Japan
| | - Yutaka Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
| | - Satoshi Inoue
- Department of Systems Aging Science and Medicine, Tokyo Metropolitan Institute of Gerontology, Itabashi-ku, Tokyo 173-001, Japan
- Division of Systems Medicine and Gene Therapy, Saitama Medical University, Hidaka, Saitama 350-1298, Japan
| | - Himisha Beltran
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, MA 02215, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02215, USA
| | - Mototsugu Oya
- Department of Urology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan
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15
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Heidrich I, Roeper CMT, Rautmann C, Pantel K, Smit DJ. [Liquid Biopsy - A new diagnostic concept in oncology]. Laryngorhinootologie 2024; 103:40-46. [PMID: 37748502 DOI: 10.1055/a-2144-4262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
The analysis of tumor cells circulating in the blood or of products of tumor cells circulating in other body fluids has gained increasing attention in recent years and is summarized under the term liquid biopsy (LB). LB includes the analysis of circulating tumor cells, cell-free circulating tumor-associated nucleic acids, extracellular vesicles, proteins, or other products that are released into the peripheral bloodstream by the primary or metastatic tumor. For a huge number of solid tumor entities, LB has already been successfully applied in preclinical and clinical studies for the detection, risk stratification, treatment monitoring and relapse detection. LB provides valuable real-time information on tumor cell development, therapeutic targets, and mechanisms of therapy resistance using a non-invasive peripheral blood test. In this article, the most important LB analytes and the current state of research are presented. In addition, the remaining obstacles and the diverse efforts to implement LB in clinical routine are critically discussed.
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Affiliation(s)
- Isabel Heidrich
- Klinik und Poliklinik für Dermatologie und Venerologie, Fleur Hiege-Centrum für Hautkrebsforschung, Universitätsklinikum Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Deutschland
- Institut für Tumorbiologie, Fleur Hiege-Centrum für Hautkrebsforschung, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
- Mildred-Scheel-Nachwuchszentrum, Universitäres Cancer Center Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - Carmen M T Roeper
- Klinik und Poliklinik für Dermatologie und Venerologie, Fleur Hiege-Centrum für Hautkrebsforschung, Universitätsklinikum Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Deutschland
| | - Charlotte Rautmann
- Klinik und Poliklinik für Dermatologie und Venerologie, Fleur Hiege-Centrum für Hautkrebsforschung, Universitätsklinikum Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Deutschland
| | - Klaus Pantel
- Institut für Tumorbiologie, Fleur Hiege-Centrum für Hautkrebsforschung, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - Daniel J Smit
- Institut für Tumorbiologie, Fleur Hiege-Centrum für Hautkrebsforschung, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
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16
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Zhou M, Ma Y, Chiang CC, Rock EC, Butler SC, Anne R, Yatsenko S, Gong Y, Chen YC. Single-cell morphological and transcriptome analysis unveil inhibitors of polyploid giant breast cancer cells in vitro. Commun Biol 2023; 6:1301. [PMID: 38129519 PMCID: PMC10739852 DOI: 10.1038/s42003-023-05674-5] [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: 06/06/2023] [Accepted: 12/04/2023] [Indexed: 12/23/2023] Open
Abstract
Considerable evidence suggests that breast cancer therapeutic resistance and relapse can be driven by polyploid giant cancer cells (PGCCs). The number of PGCCs increases with the stages of disease and therapeutic stress. Given the importance of PGCCs, it remains challenging to eradicate them. To discover effective anti-PGCC compounds, there is an unmet need to rapidly distinguish compounds that kill non-PGCCs, PGCCs, or both. Here, we establish a single-cell morphological analysis pipeline with a high throughput and great precision to characterize dynamics of individual cells. In this manner, we screen a library to identify promising compounds that inhibit all cancer cells or only PGCCs (e.g., regulators of HDAC, proteasome, and ferroptosis). Additionally, we perform scRNA-Seq to reveal altered cell cycle, metabolism, and ferroptosis sensitivity in breast PGCCs. The combination of single-cell morphological and molecular investigation reveals promising anti-PGCC strategies for breast cancer treatment and other malignancies.
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Affiliation(s)
- Mengli Zhou
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA, 15232, USA
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA, 15260, USA
- Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Yushu Ma
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA, 15232, USA
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA, 15260, USA
| | - Chun-Cheng Chiang
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA, 15232, USA
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA, 15260, USA
| | - Edwin C Rock
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA, 15260, USA
| | - Samuel Charles Butler
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA, 15232, USA
| | - Rajiv Anne
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA, 15260, USA
| | - Svetlana Yatsenko
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA, USA
- Magee Womens Research Institute, Pittsburgh, PA, USA
| | - Yinan Gong
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA, 15232, USA
- Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15261, USA
| | - Yu-Chih Chen
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA, 15232, USA.
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA, 15260, USA.
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA, 15260, USA.
- CMU-Pitt Ph.D. Program in Computational Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA, 15260, USA.
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17
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Zhou M, Ma Y, Rock EC, Chiang CC, Luker KE, Luker GD, Chen YC. Microfluidic single-cell migration chip reveals insights into the impact of extracellular matrices on cell movement. LAB ON A CHIP 2023; 23:4619-4635. [PMID: 37750357 PMCID: PMC10615797 DOI: 10.1039/d3lc00651d] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
Cell migration is a complex process that plays a crucial role in normal physiology and pathologies such as cancer, autoimmune diseases, and mental disorders. Conventional cell migration assays face limitations in tracking a large number of individual migrating cells. To address this challenge, we have developed a high-throughput microfluidic cell migration chip, which seamlessly integrates robotic liquid handling and computer vision to swiftly monitor the movement of 3200 individual cells, providing unparalleled single-cell resolution for discerning distinct behaviors of the fast-moving cell population. This study focuses on the ECM's role in regulating cellular migration, utilizing this cutting-edge microfluidic technology to investigate the impact of ten different ECMs on triple-negative breast cancer cell lines. We found that collagen IV, collagen III, and collagen I coatings were the top enhancers of cell movement. Combining these ECMs increased cell motility, but the effect was sub-additive. Furthermore, we examined 87 compounds and found that while some compounds inhibited migration on all substrates, significantly distinct effects on differently coated substrates were observed, underscoring the importance of considering ECM coating. We also utilized cells expressing a fluorescent actin reporter and observed distinct actin structures in ECM-interacting cells. ScRNA-Seq analysis revealed that ECM coatings induced EMT and enhanced cell migration. Finally, we identified genes that were particularly up-regulated by collagen IV and the selective inhibitors successfully blocked cell migration on collagen IV. Overall, the study provides insights into the impact of various ECMs on cell migration and dynamics of cell movement with implications for developing therapeutic strategies to combat diseases related to cell motility.
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Affiliation(s)
- Mengli Zhou
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA.
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
- Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Yushu Ma
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA.
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
| | - Edwin C Rock
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA 15260, USA
| | - Chun-Cheng Chiang
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA.
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
| | - Kathryn E Luker
- Center for Molecular Imaging, Department of Radiology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI 48109-2200, USA
| | - Gary D Luker
- Center for Molecular Imaging, Department of Radiology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI 48109-2200, USA
- Department of Microbiology and Immunology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI 48109-2200, USA
- Department of Biomedical Engineering, University of Michigan, 2200 Bonisteel, Blvd., Ann Arbor, MI 48109-2099, USA
| | - Yu-Chih Chen
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA.
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA 15260, USA
- CMU-Pitt Ph.D. Program in Computational Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
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18
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Lei Y, Wang X, Tian Y, Xu R, Pei J, Fu Y, Sun H, Wang Y, Zheng P, Xia F, Wang J. Effect of various hepatectomy procedures on circulating tumor cells in postoperative patients: a case-matched comparative study. Front Med (Lausanne) 2023; 10:1209403. [PMID: 37841010 PMCID: PMC10568028 DOI: 10.3389/fmed.2023.1209403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 09/15/2023] [Indexed: 10/17/2023] Open
Abstract
Background The objective of this study is to elucidate the prevalence of systemic circulating tumor cells (CTCs) prior to and following resection of hepatocellular carcinoma (HCC), and to compare the disparities in postoperative CTCs in terms of quantity and classifications between the open liver resection (OPEN) and laparoscopic liver resection (LAP) cohorts. Patients materials and methods From September 2015 to May 2022, 32 consecutive HCC patients who underwent laparoscopic liver resection at Southwest Hospital were retrospectively enrolled in this study. The clinicopathological data were retrieved from a prospectively collected computer database. Patients in the OPEN group matched at a 1:1 ratio with patients who underwent open liver resection during the study period on age, gender, tumor size, number of tumors, tumor location, hepatitis B surface antigen (HBsAg) positivity, alpha-fetoprotein (AFP) level, TNM and Child-Pugh staging from the database of patients to form the control group. The Can-Patrol CTC enrichment technique was used to enrich and classify CTCS based on epithelial-mesenchymal transformation phenotypes. The endpoint was disease-free survival (DFS), and the Kaplan-Meier method and multiple Cox proportional risk model were used to analyze the influence of clinicopathological factors such as total CTCs and CTC phenotype on prognosis. Results The mean age of the 64 patients with primary liver cancer was 52.92 years (23-71), and 89.1% were male. The postoperative CTC clearance rate was more significant in the OPEN group. The total residual CTC and phenotypic CTC of the LAP group were significantly higher than those of the OPEN group (p = 0.017, 0.012, 0.049, and 0.030, respectively), which may increase the possibility of metastasis (p = 0.042). In Kaplan-Meier analysis, DFS was associated with several clinicopathological risk factors, including Barcelona Clinical Liver Cancer (BCLC) stage, tumor size, and vascular invasion. Of these analyses, BCLC Stage [p = 0.043, HR (95% CI) =2.03(1.022-4.034)], AFP [p = 0.007, HR (95% CI) =1.947 (1.238-3.062)], the number of positive CTCs [p = 0.004, HR (95% CI) =9.607 (2.085-44.269)] and vascular invasion [p = 0.046, HR (95% CI) =0.475 (0.22-1.023)] were significantly associated with DFS. Conclusion In comparison to conventional OPEN technology, LAP technology has the capacity to augment the quantity of epithelial, mixed, and mesenchymal circulating tumor cells (CTCs). Following the surgical procedure, there was a notable increase in the total CTCs, epithelial CTCs, and mixed CTCs within the LAP group, indicating a potential drawback of LAP in facilitating the release of CTCs.
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Affiliation(s)
- YongRong Lei
- Key Laboratory of Biorheological Science and Technology (Ministry of Education), College of Bioengineering, Chongqing University, Chongqing, China
- Key Laboratory of Hepatobiliary and Pancreatic Surgery, Institute of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - XiShu Wang
- Key Laboratory of Hepatobiliary and Pancreatic Surgery, Institute of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - YiChen Tian
- Key Laboratory of Biorheological Science and Technology (Ministry of Education), College of Bioengineering, Chongqing University, Chongqing, China
| | - Rong Xu
- Key Laboratory of Biorheological Science and Technology (Ministry of Education), College of Bioengineering, Chongqing University, Chongqing, China
| | - Jun Pei
- Key Laboratory of Hepatobiliary and Pancreatic Surgery, Institute of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - YuNa Fu
- Key Laboratory of Biorheological Science and Technology (Ministry of Education), College of Bioengineering, Chongqing University, Chongqing, China
| | - Heng Sun
- Key Laboratory of Biorheological Science and Technology (Ministry of Education), College of Bioengineering, Chongqing University, Chongqing, China
| | - YaNi Wang
- Key Laboratory of Biorheological Science and Technology (Ministry of Education), College of Bioengineering, Chongqing University, Chongqing, China
| | - Ping Zheng
- Key Laboratory of Hepatobiliary and Pancreatic Surgery, Institute of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Feng Xia
- Key Laboratory of Hepatobiliary and Pancreatic Surgery, Institute of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - JianHua Wang
- Key Laboratory of Biorheological Science and Technology (Ministry of Education), College of Bioengineering, Chongqing University, Chongqing, China
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Davies A, Zoubeidi A, Beltran H, Selth LA. The Transcriptional and Epigenetic Landscape of Cancer Cell Lineage Plasticity. Cancer Discov 2023; 13:1771-1788. [PMID: 37470668 PMCID: PMC10527883 DOI: 10.1158/2159-8290.cd-23-0225] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 04/25/2023] [Accepted: 06/09/2023] [Indexed: 07/21/2023]
Abstract
Lineage plasticity, a process whereby cells change their phenotype to take on a different molecular and/or histologic identity, is a key driver of cancer progression and therapy resistance. Although underlying genetic changes within the tumor can enhance lineage plasticity, it is predominantly a dynamic process controlled by transcriptional and epigenetic dysregulation. This review explores the transcriptional and epigenetic regulators of lineage plasticity and their interplay with other features of malignancy, such as dysregulated metabolism, the tumor microenvironment, and immune evasion. We also discuss strategies for the detection and treatment of highly plastic tumors. SIGNIFICANCE Lineage plasticity is a hallmark of cancer and a critical facilitator of other oncogenic features such as metastasis, therapy resistance, dysregulated metabolism, and immune evasion. It is essential that the molecular mechanisms of lineage plasticity are elucidated to enable the development of strategies to effectively target this phenomenon. In this review, we describe key transcriptional and epigenetic regulators of cancer cell plasticity, in the process highlighting therapeutic approaches that may be harnessed for patient benefit.
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Affiliation(s)
- Alastair Davies
- Oncology Research Discovery, Pfizer Worldwide Research and Development, San Diego, CA, USA
| | - Amina Zoubeidi
- Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada
- Vancouver Prostate Centre, Vancouver, British Columbia, Canada
| | - Himisha Beltran
- Department of Medical Oncology, Dana Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Luke A. Selth
- Flinders Health and Medical Research Institute and Freemasons Centre for Male Health and Wellbeing, Flinders University, Bedford Park, South Australia, 5042 Australia
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, 5005 Australia
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20
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Orrapin S, Thongkumkoon P, Udomruk S, Moonmuang S, Sutthitthasakul S, Yongpitakwattana P, Pruksakorn D, Chaiyawat P. Deciphering the Biology of Circulating Tumor Cells through Single-Cell RNA Sequencing: Implications for Precision Medicine in Cancer. Int J Mol Sci 2023; 24:12337. [PMID: 37569711 PMCID: PMC10418766 DOI: 10.3390/ijms241512337] [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: 06/29/2023] [Revised: 07/25/2023] [Accepted: 07/27/2023] [Indexed: 08/13/2023] Open
Abstract
Circulating tumor cells (CTCs) hold unique biological characteristics that directly involve them in hematogenous dissemination. Studying CTCs systematically is technically challenging due to their extreme rarity and heterogeneity and the lack of specific markers to specify metastasis-initiating CTCs. With cutting-edge technology, single-cell RNA sequencing (scRNA-seq) provides insights into the biology of metastatic processes driven by CTCs. Transcriptomics analysis of single CTCs can decipher tumor heterogeneity and phenotypic plasticity for exploring promising novel therapeutic targets. The integrated approach provides a perspective on the mechanisms underlying tumor development and interrogates CTCs interactions with other blood cell types, particularly those of the immune system. This review aims to comprehensively describe the current study on CTC transcriptomic analysis through scRNA-seq technology. We emphasize the workflow for scRNA-seq analysis of CTCs, including enrichment, single cell isolation, and bioinformatic tools applied for this purpose. Furthermore, we elucidated the translational knowledge from the transcriptomic profile of individual CTCs and the biology of cancer metastasis for developing effective therapeutics through targeting key pathways in CTCs.
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Affiliation(s)
- Santhasiri Orrapin
- Center of Multidisciplinary Technology for Advanced Medicine (CMUTEAM), Faculty of Medicine, Chiang Mai University, Muang, Chiang Mai 50200, Thailand; (S.O.); (P.T.); (S.U.); (S.M.); (S.S.); (P.Y.); (D.P.)
| | - Patcharawadee Thongkumkoon
- Center of Multidisciplinary Technology for Advanced Medicine (CMUTEAM), Faculty of Medicine, Chiang Mai University, Muang, Chiang Mai 50200, Thailand; (S.O.); (P.T.); (S.U.); (S.M.); (S.S.); (P.Y.); (D.P.)
| | - Sasimol Udomruk
- Center of Multidisciplinary Technology for Advanced Medicine (CMUTEAM), Faculty of Medicine, Chiang Mai University, Muang, Chiang Mai 50200, Thailand; (S.O.); (P.T.); (S.U.); (S.M.); (S.S.); (P.Y.); (D.P.)
- Musculoskeletal Science and Translational Research (MSTR) Center, Faculty of Medicine, Chiang Mai University, Muang, Chiang Mai 50200, Thailand
| | - Sutpirat Moonmuang
- Center of Multidisciplinary Technology for Advanced Medicine (CMUTEAM), Faculty of Medicine, Chiang Mai University, Muang, Chiang Mai 50200, Thailand; (S.O.); (P.T.); (S.U.); (S.M.); (S.S.); (P.Y.); (D.P.)
| | - Songphon Sutthitthasakul
- Center of Multidisciplinary Technology for Advanced Medicine (CMUTEAM), Faculty of Medicine, Chiang Mai University, Muang, Chiang Mai 50200, Thailand; (S.O.); (P.T.); (S.U.); (S.M.); (S.S.); (P.Y.); (D.P.)
| | - Petlada Yongpitakwattana
- Center of Multidisciplinary Technology for Advanced Medicine (CMUTEAM), Faculty of Medicine, Chiang Mai University, Muang, Chiang Mai 50200, Thailand; (S.O.); (P.T.); (S.U.); (S.M.); (S.S.); (P.Y.); (D.P.)
| | - Dumnoensun Pruksakorn
- Center of Multidisciplinary Technology for Advanced Medicine (CMUTEAM), Faculty of Medicine, Chiang Mai University, Muang, Chiang Mai 50200, Thailand; (S.O.); (P.T.); (S.U.); (S.M.); (S.S.); (P.Y.); (D.P.)
- Musculoskeletal Science and Translational Research (MSTR) Center, Faculty of Medicine, Chiang Mai University, Muang, Chiang Mai 50200, Thailand
- Department of Orthopedics, Faculty of Medicine, Chiang Mai University, Muang, Chiang Mai 50200, Thailand
| | - Parunya Chaiyawat
- Center of Multidisciplinary Technology for Advanced Medicine (CMUTEAM), Faculty of Medicine, Chiang Mai University, Muang, Chiang Mai 50200, Thailand; (S.O.); (P.T.); (S.U.); (S.M.); (S.S.); (P.Y.); (D.P.)
- Musculoskeletal Science and Translational Research (MSTR) Center, Faculty of Medicine, Chiang Mai University, Muang, Chiang Mai 50200, Thailand
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21
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Surappa S, Multani P, Parlatan U, Sinawang PD, Kaifi J, Akin D, Demirci U. Integrated "lab-on-a-chip" microfluidic systems for isolation, enrichment, and analysis of cancer biomarkers. LAB ON A CHIP 2023; 23:2942-2958. [PMID: 37314731 PMCID: PMC10834032 DOI: 10.1039/d2lc01076c] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The liquid biopsy has garnered considerable attention as a complementary clinical tool for the early detection, molecular characterization and monitoring of cancer over the past decade. In contrast to traditional solid biopsy techniques, liquid biopsy offers a less invasive and safer alternative for routine cancer screening. Recent advances in microfluidic technologies have enabled handling of liquid biopsy-derived biomarkers with high sensitivity, throughput, and convenience. The integration of these multi-functional microfluidic technologies into a 'lab-on-a-chip' offers a powerful solution for processing and analyzing samples on a single platform, thereby reducing the complexity, bio-analyte loss and cross-contamination associated with multiple handling and transfer steps in more conventional benchtop workflows. This review critically addresses recent developments in integrated microfluidic technologies for cancer detection, highlighting isolation, enrichment, and analysis strategies for three important sub-types of cancer biomarkers: circulating tumor cells, circulating tumor DNA and exosomes. We first discuss the unique characteristics and advantages of the various lab-on-a-chip technologies developed to operate on each biomarker subtype. This is then followed by a discussion on the challenges and opportunities in the field of integrated systems for cancer detection. Ultimately, integrated microfluidic platforms form the core of a new class of point-of-care diagnostic tools by virtue of their ease-of-operation, portability and high sensitivity. Widespread availability of such tools could potentially result in more frequent and convenient screening for early signs of cancer at clinical labs or primary care offices.
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Affiliation(s)
- Sushruta Surappa
- Canary Center at Stanford for Cancer Early Detection, Bio-Acoustic MEMS in Medicine (BAMM) Lab, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA 94304, USA.
| | - Priyanka Multani
- Canary Center at Stanford for Cancer Early Detection, Bio-Acoustic MEMS in Medicine (BAMM) Lab, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA 94304, USA.
| | - Ugur Parlatan
- Canary Center at Stanford for Cancer Early Detection, Bio-Acoustic MEMS in Medicine (BAMM) Lab, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA 94304, USA.
| | - Prima Dewi Sinawang
- Canary Center at Stanford for Cancer Early Detection, Bio-Acoustic MEMS in Medicine (BAMM) Lab, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA 94304, USA.
- Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA
| | - Jussuf Kaifi
- Department of Surgery, School of Medicine, University of Missouri, Columbia, MO 65212, USA
- Harry S. Truman Memorial Veterans' Hospital, Columbia, MO 65201, USA
| | - Demir Akin
- Canary Center at Stanford for Cancer Early Detection, Bio-Acoustic MEMS in Medicine (BAMM) Lab, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA 94304, USA.
- Center for Cancer Nanotechnology Excellence for Translational Diagnostics (CCNE-TD), School of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Utkan Demirci
- Canary Center at Stanford for Cancer Early Detection, Bio-Acoustic MEMS in Medicine (BAMM) Lab, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA 94304, USA.
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22
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Heidrich I, Roeper CMT, Rautmann C, Pantel K, Smit DJ. [Liquid Biopsy - A new diagnostic concept in oncology]. Dtsch Med Wochenschr 2023; 148:597-604. [PMID: 37105187 DOI: 10.1055/a-1928-0225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
The analysis of tumor cells circulating in the blood or of products of tumor cells circulating in other body fluids has gained increasing attention in recent years and is summarized under the term liquid biopsy (LB). LB includes the analysis of circulating tumor cells, cell-free circulating tumor-associated nucleic acids, extracellular vesicles, proteins, or other products that are released into the peripheral bloodstream by the primary or metastatic tumor. For a huge number of solid tumor entities, LB has already been successfully applied in preclinical and clinical studies for the detection, risk stratification, treatment monitoring and relapse detection. LB provides valuable real-time information on tumor cell development, therapeutic targets, and mechanisms of therapy resistance using a non-invasive peripheral blood test. In this article, the most important LB analytes and the current state of research are presented. In addition, the remaining obstacles and the diverse efforts to implement LB in clinical routine are critically discussed.
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Affiliation(s)
- Isabel Heidrich
- Klinik und Poliklinik für Dermatologie und Venerologie, Fleur Hiege-Centrum für Hautkrebsforschung, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
- Institut für Tumorbiologie, Fleur Hiege-Centrum für Hautkrebsforschung, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
- Mildred-Scheel-Nachwuchszentrum, Universitäres Cancer Center Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - Carmen M T Roeper
- Klinik und Poliklinik für Dermatologie und Venerologie, Fleur Hiege-Centrum für Hautkrebsforschung, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - Charlotte Rautmann
- Klinik und Poliklinik für Dermatologie und Venerologie, Fleur Hiege-Centrum für Hautkrebsforschung, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - Klaus Pantel
- Institut für Tumorbiologie, Fleur Hiege-Centrum für Hautkrebsforschung, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
| | - Daniel J Smit
- Institut für Tumorbiologie, Fleur Hiege-Centrum für Hautkrebsforschung, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Deutschland
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23
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Tian Z, Yuan Z, Duarte PA, Shaheen M, Wang S, Haddon L, Chen J. Highly efficient cell-microbead encapsulation using dielectrophoresis-assisted dual-nanowell array. PNAS NEXUS 2023; 2:pgad155. [PMID: 37252002 PMCID: PMC10210622 DOI: 10.1093/pnasnexus/pgad155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 04/03/2023] [Accepted: 05/03/2023] [Indexed: 05/31/2023]
Abstract
Recent advancements in micro/nanofabrication techniques have led to the development of portable devices for high-throughput single-cell analysis through the isolation of individual target cells, which are then paired with functionalized microbeads. Compared with commercially available benchtop instruments, portable microfluidic devices can be more widely and cost-effectively adopted in single-cell transcriptome and proteome analysis. The sample utilization and cell pairing rate (∼33%) of current stochastic-based cell-bead pairing approaches are fundamentally limited by Poisson statistics. Despite versatile technologies having been proposed to reduce randomness during the cell-bead pairing process in order to statistically beat the Poisson limit, improvement of the overall pairing rate of a single cell to a single bead is typically based on increased operational complexity and extra instability. In this article, we present a dielectrophoresis (DEP)-assisted dual-nanowell array (ddNA) device, which employs an innovative microstructure design and operating process that decouples the bead- and cell-loading processes. Our ddNA design contains thousands of subnanoliter microwell pairs specifically tailored to fit both beads and cells. Interdigitated electrodes (IDEs) are placed below the microwell structure to introduce a DEP force on cells, yielding high single-cell capture and pairing rates. Experimental results with human embryonic kidney cells confirmed the suitability and reproducibility of our design. We achieved a single-bead capture rate of >97% and a cell-bead pairing rate of >75%. We anticipate that our device will enhance the application of single-cell analysis in practical clinical use and academic research.
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Affiliation(s)
- Zuyuan Tian
- Department of Electrical and Computer Engineering, University of Alberta, 9107 116 Street NW, T6G 1H9 Edmonton, AB, Canada
| | - Zhipeng Yuan
- Department of Electrical and Computer Engineering, University of Alberta, 9107 116 Street NW, T6G 1H9 Edmonton, AB, Canada
| | - Pedro A Duarte
- Department of Electrical and Computer Engineering, University of Alberta, 9107 116 Street NW, T6G 1H9 Edmonton, AB, Canada
| | - Mohamed Shaheen
- Department of Electrical and Computer Engineering, University of Alberta, 9107 116 Street NW, T6G 1H9 Edmonton, AB, Canada
| | - Shaoxi Wang
- School of Microelectronics, Northwestern Polytechnical University, 127 Youyi St West, 710129 Xi’an, Shannxi, China
| | - Lacey Haddon
- Department of Electrical and Computer Engineering, University of Alberta, 9107 116 Street NW, T6G 1H9 Edmonton, AB, Canada
| | - Jie Chen
- To whom correspondence should be addressed:
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24
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Ren J, Fan L. A reliable elasticity sensing method for analysis of cell entosis using microfluidic cytometer. Biomed Eng Lett 2023; 13:175-183. [PMID: 37124106 PMCID: PMC10130291 DOI: 10.1007/s13534-023-00264-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/15/2023] [Accepted: 01/22/2023] [Indexed: 02/05/2023] Open
Abstract
Cell entosis is a novel cell death process starting from cell-in-cell invasion. In general, cancer cells own higher incidence rate of cell entosis comparing to non-cancerous cells. Studies arguing whether cell entosis is a tumor suppressing process or a tumor accelerating process can deepen our understanding of tumor development. Cell elasticity is recognized as one of tumor malignant biomarkers. There have been some researchers studying cell elasticity in cell entosis. However, existing cell elasticity sensing technique (i.e. micropipette aspiration) can hardly be reliable neither high-throughput. In this work, we introduce an elasticity sensing method for quantifying both cell elasticity in cell-in-cell structures and single floating cells using a microfluidic cytometer. We not only argue our cell elasticity sensing method is reliable for already occurred entosis but also apply such method on predicting the "outer" cells in entosis of different cell types. The elasticity sensing method proposed in this manuscript is able to provide an effective and reliable way to further study deeper mechanism in cell entosis. Supplementary Information The online version contains supplementary material available at 10.1007/s13534-023-00264-0.
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Affiliation(s)
- Jifeng Ren
- School of Biomedical Engineering, Capital Medical University, Beijing, 100069 China
- Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing, 100069 China
| | - Lei Fan
- Centre for Robotics and Automation, Shenzhen Research Institute of City University of Hong Kong, Shenzhen, 518057 China
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25
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Shen S, Zhang F, Zhang Y, Li Y, Niu Y, Pang L, Wang J. Construction of multiple concentration gradients for single-cell level drug screening. MICROSYSTEMS & NANOENGINEERING 2023; 9:46. [PMID: 37064165 PMCID: PMC10102073 DOI: 10.1038/s41378-023-00516-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 02/27/2023] [Accepted: 02/27/2023] [Indexed: 06/19/2023]
Abstract
Isolation and manipulation of single cells play a crucial role in drug screening. However, previously reported single-cell drug screening lacked multiple-dose concentration gradient studies, which limits their ability to predict drug performance accurately. To solve this problem, we constructed a multiconcentration gradient generator in which a Tai Chi-spiral mixer can accelerate solution mixing in a short time and produce a linear concentration gradient. Later, a gradient generator combined with a single-cell capture array was adopted to investigate the effects of single or combined doses of 5-fluorouracil and cisplatin on human hepatoma cells and human breast carcinoma cells (at the single-cell level). The results showed that both drugs were effective in inhibiting the growth of cancer cells, and the combination was more effective for human hepatoma cells. In addition, the relationship between the biomechanical heterogeneity (e.g., deformability and size) of tumor cells and potential drug resistance at the single-cell level was investigated, indicating that small and/or deformable cells were more resistant than large and/or less deformable cells. The device provides a simple and reliable platform for studying the optimal dosage of different drug candidates at the single-cell level and effectively screening single-agent chemotherapy regimens and combination therapies.
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Affiliation(s)
- Shaofei Shen
- Shanxi Key Lab for Modernization of TCVM, College of Life Science, Shanxi Agricultural University, Taigu, Shanxi 030801 China
| | - Fangjuan Zhang
- Shanxi Key Lab for Modernization of TCVM, College of Life Science, Shanxi Agricultural University, Taigu, Shanxi 030801 China
| | - Yali Zhang
- Shanxi Key Lab for Modernization of TCVM, College of Life Science, Shanxi Agricultural University, Taigu, Shanxi 030801 China
| | - Yi Li
- Shanxi Key Lab for Modernization of TCVM, College of Life Science, Shanxi Agricultural University, Taigu, Shanxi 030801 China
| | - Yanbing Niu
- Shanxi Key Lab for Modernization of TCVM, College of Life Science, Shanxi Agricultural University, Taigu, Shanxi 030801 China
| | - Long Pang
- School of Basic Medical Science, Xi’an Medical University, Xi’an, Shaanxi 710021 China
| | - Jinyi Wang
- College of Chemistry and Pharmacy, Northwest A&F University, Yangling, Shaanxi 712100 China
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26
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Di Sario G, Rossella V, Famulari ES, Maurizio A, Lazarevic D, Giannese F, Felici C. Enhancing clinical potential of liquid biopsy through a multi-omic approach: A systematic review. Front Genet 2023; 14:1152470. [PMID: 37077538 PMCID: PMC10109350 DOI: 10.3389/fgene.2023.1152470] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 03/20/2023] [Indexed: 04/05/2023] Open
Abstract
In the last years, liquid biopsy gained increasing clinical relevance for detecting and monitoring several cancer types, being minimally invasive, highly informative and replicable over time. This revolutionary approach can be complementary and may, in the future, replace tissue biopsy, which is still considered the gold standard for cancer diagnosis. “Classical” tissue biopsy is invasive, often cannot provide sufficient bioptic material for advanced screening, and can provide isolated information about disease evolution and heterogeneity. Recent literature highlighted how liquid biopsy is informative of proteomic, genomic, epigenetic, and metabolic alterations. These biomarkers can be detected and investigated using single-omic and, recently, in combination through multi-omic approaches. This review will provide an overview of the most suitable techniques to thoroughly characterize tumor biomarkers and their potential clinical applications, highlighting the importance of an integrated multi-omic, multi-analyte approach. Personalized medical investigations will soon allow patients to receive predictable prognostic evaluations, early disease diagnosis, and subsequent ad hoc treatments.
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27
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Oumeddour A. Screening of potential hub genes and key pathways associated with breast cancer by bioinformatics tools. Medicine (Baltimore) 2023; 102:e33291. [PMID: 36930083 PMCID: PMC10019133 DOI: 10.1097/md.0000000000033291] [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: 11/19/2022] [Accepted: 02/24/2023] [Indexed: 03/18/2023] Open
Abstract
Breast cancer (BC) remains the leading cause of cancer-related death in women worldwide. The development of new targeted therapies that may improve patient survival remains an area of growing interest. This study aimed to identify new biomarkers involved in BC progression that could be used as potential targeted therapies. DEGs were selected from three gene expression profiles, GSE55715, GSE124646, and GSE87049, using the GEO2R tool and Venn diagram software. Gene Ontology and KEGG pathways were then performed using DAVID software. Next, the PPI network was constructed using STRING and visualized using Cytoscape software, and hub genes were extracted using the cytoHubba plug-in. Survival analysis was performed using the Kaplan-Meier Plotter, while the expression of hub genes in BC was verified using the GEPIA2 tool. Finally, transcription the factors of hub genes were determined using the NetworkAnalyst database, and the TIMER tool was employed to explore the infiltration levels of tumor immune cells with related genes. A total of 146 DEGs were identified in the three datasets, including 60 upregulated genes that were enriched in the cell cycle, and 86 downregulated genes that were mainly enriched in the TNF signaling pathway and pathways in cancer. Ten genes were identified: BUB1, CDK1, HMMR, MAD2L1, CEP55, AURKA, CCNB2, TPX2, MELK, and KIF20A. The overexpression of hub genes, except CDK1, was associated with poor survival in BC and was regulated by several transcription factors involved in DNA binding activity and transcription regulation. The infiltration levels of immune cells were positively correlated with hub genes, particularly macrophages and CD4+ T cells. This study identified new reliable molecular biomarkers that can serve as potential therapeutic targets for BC treatment.
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Affiliation(s)
- Abdelkader Oumeddour
- Department of Natural Sciences and Life, 8 May 1945 University of Guelma, Guelma, Algeria
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28
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Sommer ER, Napoli GC, Chau CH, Price DK, Figg WD. Targeting the metastatic niche: Single-cell lineage tracing in prime time. iScience 2023; 26:106174. [PMID: 36895653 PMCID: PMC9988656 DOI: 10.1016/j.isci.2023.106174] [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: 02/12/2023] Open
Abstract
Identification of actionable drug targets remains a rate-limiting step of, and one of the most prominent barriers to successful drug development for metastatic cancers. CRISPR-Cas9, a tool for making targeted genomic edits, has given rise to various novel applications that have greatly accelerated discovery in developmental biology. Recent work has coupled a CRISPR-Cas9-based lineage tracing platform with single-cell transcriptomics in the unexplored context of cancer metastasis. In this perspective, we briefly reflect on the development of these distinct technological advances and the process by which they have become integrated. We also highlight the importance of single-cell lineage tracing in oncology drug development and suggest the profound capacity of a high-resolution, computational approach to reshape cancer drug discovery by enabling identification of novel metastasis-specific drug targets and mechanisms of resistance.
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Affiliation(s)
- Elijah R Sommer
- Molecular Pharmacology Section, Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Giulia C Napoli
- Molecular Pharmacology Section, Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Cindy H Chau
- Molecular Pharmacology Section, Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Douglas K Price
- Molecular Pharmacology Section, Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - William D Figg
- Molecular Pharmacology Section, Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
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29
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Yu H, Yang C, Tai Q, Gao M, Zhang X. New Method for Counting and Picking Out Single Circulating Tumor Cells from Microliter-Volume Samples for Tumor Progression Surveillance and Single-Cell Heterogeneity Analysis. Anal Chem 2023; 95:5232-5239. [PMID: 36913664 DOI: 10.1021/acs.analchem.2c04994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2023]
Abstract
Circulating tumor cells (CTCs) are crucial in tumor progression and metastasis, but the knowledge of their roles grows slowly at single-cell levels. Characterizing the rarity and fragility of CTCs by nature, highly stable and efficient single-CTC sampling methods are still lacking, which impedes the development of single-CTC analysis. Herein, an improved, capillary-based single-cell sampling (SiCS) method, the so-called bubble-glue single-cell sampling (bubble-glue SiCS), is introduced. Benefiting from the characteristic that the cells tend to adhere to air bubbles in the solution, single cells can be sampled with bubbles as low as 20 pL with a self-designed microbubble-volume-controlled system. Benefiting from the excellent maneuverability, single CTCs are sampled directly from 10 μL volume of real blood samples after fluorescent labeling. Meanwhile, over 90% of the CTCs obtained survived and well proliferated after the bubble-glue SiCS process, which showed considerable superiority for downstream single-CTC profiling. Furthermore, a highly metastatic breast cancer model of the 4T1 cell line in vivo was employed for the real blood sample analysis. Increases in CTC numbers were observed during the tumor progression process, and significant heterogeneities among individual CTCs were discovered. In all, we propose a novel avenue for target SiCS and provide an alternative technique route for CTC separation and analysis.
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Affiliation(s)
- Hailong Yu
- Department of Chemistry, Fudan University, Shanghai, 200438, China
| | - Chenjie Yang
- Department of Chemistry, Fudan University, Shanghai, 200438, China
| | - Qunfei Tai
- Department of Chemistry, Fudan University, Shanghai, 200438, China
| | - Mingxia Gao
- Department of Chemistry, Fudan University, Shanghai, 200438, China
| | - Xiangmin Zhang
- Department of Chemistry, Fudan University, Shanghai, 200438, China
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30
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Bates M, Mohamed BM, Ward MP, Kelly TE, O'Connor R, Malone V, Brooks R, Brooks D, Selemidis S, Martin C, O'Toole S, O'Leary JJ. Circulating tumour cells: The Good, the Bad and the Ugly. Biochim Biophys Acta Rev Cancer 2023; 1878:188863. [PMID: 36796527 DOI: 10.1016/j.bbcan.2023.188863] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 01/06/2023] [Accepted: 01/21/2023] [Indexed: 02/17/2023]
Abstract
This review is an overview of the current knowledge regarding circulating tumour cells (CTCs), which are potentially the most lethal type of cancer cell, and may be a key component of the metastatic cascade. The clinical utility of CTCs (the "Good"), includes their diagnostic, prognostic, and therapeutic potential. Conversely, their complex biology (the "Bad"), including the existence of CD45+/EpCAM+ CTCs, adds insult to injury regarding their isolation and identification, which in turn hampers their clinical translation. CTCs are capable of forming microemboli composed of both non-discrete phenotypic populations such as mesenchymal CTCs and homotypic and heterotypic clusters which are poised to interact with other cells in the circulation, including immune cells and platelets, which may increase their malignant potential. These microemboli (the "Ugly") represent a prognostically important CTC subset, however, phenotypic EMT/MET gradients bring additional complexities to an already challenging situation.
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Affiliation(s)
- Mark Bates
- Department of Histopathology, Trinity College Dublin, Dublin 2, Ireland; Emer Casey Molecular Pathology Research Laboratory, Coombe Women & Infants University Hospital, Dublin 8, Ireland; Trinity St James's Cancer Institute, Dublin 8, Ireland.
| | - Bashir M Mohamed
- Department of Histopathology, Trinity College Dublin, Dublin 2, Ireland; Emer Casey Molecular Pathology Research Laboratory, Coombe Women & Infants University Hospital, Dublin 8, Ireland; Trinity St James's Cancer Institute, Dublin 8, Ireland
| | - Mark P Ward
- Department of Histopathology, Trinity College Dublin, Dublin 2, Ireland; Emer Casey Molecular Pathology Research Laboratory, Coombe Women & Infants University Hospital, Dublin 8, Ireland; Trinity St James's Cancer Institute, Dublin 8, Ireland
| | - Tanya E Kelly
- Department of Histopathology, Trinity College Dublin, Dublin 2, Ireland; Emer Casey Molecular Pathology Research Laboratory, Coombe Women & Infants University Hospital, Dublin 8, Ireland; Trinity St James's Cancer Institute, Dublin 8, Ireland
| | - Roisin O'Connor
- Department of Histopathology, Trinity College Dublin, Dublin 2, Ireland; Emer Casey Molecular Pathology Research Laboratory, Coombe Women & Infants University Hospital, Dublin 8, Ireland; Trinity St James's Cancer Institute, Dublin 8, Ireland; Department of Pathology, Coombe Women & Infants University Hospital, Dublin 8, Ireland
| | - Victoria Malone
- Department of Histopathology, Trinity College Dublin, Dublin 2, Ireland; Emer Casey Molecular Pathology Research Laboratory, Coombe Women & Infants University Hospital, Dublin 8, Ireland; Trinity St James's Cancer Institute, Dublin 8, Ireland; Department of Pathology, Coombe Women & Infants University Hospital, Dublin 8, Ireland
| | - Robert Brooks
- Cancer Research Institute, University of South Australia, Adelaide, SA 5001, Australia
| | - Doug Brooks
- Department of Histopathology, Trinity College Dublin, Dublin 2, Ireland; Trinity St James's Cancer Institute, Dublin 8, Ireland; Cancer Research Institute, University of South Australia, Adelaide, SA 5001, Australia
| | - Stavros Selemidis
- School of Health and Biomedical Sciences, Royal Melbourne Institute of Technology, Bundoora, VIC 3083, Australia
| | - Cara Martin
- Department of Histopathology, Trinity College Dublin, Dublin 2, Ireland; Emer Casey Molecular Pathology Research Laboratory, Coombe Women & Infants University Hospital, Dublin 8, Ireland; Trinity St James's Cancer Institute, Dublin 8, Ireland; Department of Pathology, Coombe Women & Infants University Hospital, Dublin 8, Ireland
| | - Sharon O'Toole
- Department of Histopathology, Trinity College Dublin, Dublin 2, Ireland; Emer Casey Molecular Pathology Research Laboratory, Coombe Women & Infants University Hospital, Dublin 8, Ireland; Trinity St James's Cancer Institute, Dublin 8, Ireland; Department of Obstetrics and Gynaecology, Trinity College Dublin, Dublin 2, Ireland
| | - John J O'Leary
- Department of Histopathology, Trinity College Dublin, Dublin 2, Ireland; Emer Casey Molecular Pathology Research Laboratory, Coombe Women & Infants University Hospital, Dublin 8, Ireland; Trinity St James's Cancer Institute, Dublin 8, Ireland; Department of Pathology, Coombe Women & Infants University Hospital, Dublin 8, Ireland
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31
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Liquid biopsy for monitoring of tumor dormancy and early detection of disease recurrence in solid tumors. Cancer Metastasis Rev 2023; 42:161-182. [PMID: 36607507 PMCID: PMC10014694 DOI: 10.1007/s10555-022-10075-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 12/22/2022] [Indexed: 01/07/2023]
Abstract
Cancer is one of the three leading causes of death worldwide. Even after successful therapy and achieving remission, the risk of relapse often remains. In this context, dormant residual cancer cells in secondary organs such as the bone marrow constitute the cellular reservoir from which late tumor recurrences arise. This dilemma leads the term of minimal residual disease, which reflects the presence of tumor cells disseminated from the primary lesion to distant organs in patients who lack any clinical or radiological signs of metastasis or residual tumor cells left behind after therapy that eventually lead to local recurrence. Disseminated tumor cells have the ability to survive in a dormant state following treatment and linger unrecognized for more than a decade before emerging as recurrent disease. They are able to breakup their dormant state and to readopt their proliferation under certain circumstances, which can finally lead to distant relapse and cancer-associated death. In recent years, extensive molecular and genetic characterization of disseminated tumor cells and blood-based biomarker has contributed significantly to our understanding of the frequency and prevalence of tumor dormancy. In this article, we describe the clinical relevance of disseminated tumor cells and highlight how latest advances in different liquid biopsy approaches can be used to detect, characterize, and monitor minimal residual disease in breast cancer, prostate cancer, and melanoma patients.
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32
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Spatial RNA sequencing methods show high resolution of single cell in cancer metastasis and the formation of tumor microenvironment. Biosci Rep 2023; 43:232194. [PMID: 36459212 PMCID: PMC9950536 DOI: 10.1042/bsr20221680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 11/30/2022] [Accepted: 12/02/2022] [Indexed: 12/03/2022] Open
Abstract
Cancer metastasis often leads to death and therapeutic resistance. This process involves the participation of a variety of cell components, especially cellular and intercellular communications in the tumor microenvironment (TME). Using genetic sequencing technology to comprehensively characterize the tumor and TME is therefore key to understanding metastasis and therapeutic resistance. The use of spatial transcriptome sequencing enables the localization of gene expressions and cell activities in tissue sections. By examining the localization change as well as gene expression of these cells, it is possible to characterize the progress of tumor metastasis and TME formation. With improvements of this technology, spatial transcriptome sequencing technology has been extended from local regions to whole tissues, and from single sequencing technology to multimodal analysis combined with a variety of datasets. This has enabled the detection of every single cell in tissue slides, with high resolution, to provide more accurate predictive information for tumor treatments. In this review, we summarize the results of recent studies dealing with new multimodal methods and spatial transcriptome sequencing methods in tumors to illustrate recent developments in the imaging resolution of micro-tissues.
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Recent Advances in Methods for Circulating Tumor Cell Detection. Int J Mol Sci 2023; 24:ijms24043902. [PMID: 36835311 PMCID: PMC9959336 DOI: 10.3390/ijms24043902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 02/06/2023] [Accepted: 02/12/2023] [Indexed: 02/17/2023] Open
Abstract
Circulating tumor cells (CTCs) are released from primary tumors and transported through the body via blood or lymphatic vessels before settling to form micrometastases under suitable conditions. Accordingly, several studies have identified CTCs as a negative prognostic factor for survival in many types of cancer. CTCs also reflect the current heterogeneity and genetic and biological state of tumors; so, their study can provide valuable insights into tumor progression, cell senescence, and cancer dormancy. Diverse methods with differing specificity, utility, costs, and sensitivity have been developed for isolating and characterizing CTCs. Additionally, novel techniques with the potential to overcome the limitations of existing ones are being developed. This primary literature review describes the current and emerging methods for enriching, detecting, isolating, and characterizing CTCs.
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Zhou M, Ma Y, Chiang CC, Rock EC, Luker KE, Luker GD, Chen YC. High-Throughput Cellular Heterogeneity Analysis in Cell Migration at the Single-Cell Level. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2206754. [PMID: 36449634 PMCID: PMC9908848 DOI: 10.1002/smll.202206754] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Indexed: 06/17/2023]
Abstract
Cancer cell migration represents an essential step toward metastasis and cancer deaths. However, conventional drug discovery focuses on cytotoxic and growth-inhibiting compounds rather than inhibitors of migration. Drug screening assays generally measure the average response of many cells, masking distinct cell populations that drive metastasis and resist treatments. Here, this work presents a high-throughput microfluidic cell migration platform that coordinates robotic liquid handling and computer vision for rapidly quantifying individual cellular motility. Using this innovative technology, 172 compounds were tested and a surprisingly low correlation between migration and growth inhibition was found. Notably, many compounds were found to inhibit migration of most cells while leaving fast-moving subpopulations unaffected. This work further pinpoints synergistic drug combinations, including Bortezomib and Danirixin, to stop fast-moving cells. To explain the observed cell behaviors, single-cell morphological and molecular analysis were performed. These studies establish a novel technology to identify promising migration inhibitors for cancer treatment and relevant applications.
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Affiliation(s)
- Mengli Zhou
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
- Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Yushu Ma
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
| | - Chun-Cheng Chiang
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
| | - Edwin C. Rock
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O’Hara Street, Pittsburgh, PA 15260, USA
| | - Kathryn E. Luker
- Center for Molecular Imaging, Department of Radiology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI 48109-2200, USA
| | - Gary D. Luker
- Center for Molecular Imaging, Department of Radiology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI 48109-2200, USA
- Department of Microbiology and Immunology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI 48109-2200, USA
- Department of Biomedical Engineering, University of Michigan, 2200 Bonisteel, Blvd. Ann Arbor, MI 48109-2099, USA
| | - Yu-Chih Chen
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O’Hara Street, Pittsburgh, PA 15260, USA
- CMU-Pitt Ph.D. Program in Computational Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
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35
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Menyailo ME, Zainullina VR, Khozyainova AA, Tashireva LA, Zolotareva SY, Gerashchenko TS, Alifanov VV, Savelieva OE, Grigoryeva ES, Tarabanovskaya NA, Popova NO, Choinzonov EL, Cherdyntseva NV, Perelmuter VM, Denisov EV. Heterogeneity of Circulating Epithelial Cells in Breast Cancer at Single-Cell Resolution: Identifying Tumor and Hybrid Cells. Adv Biol (Weinh) 2023; 7:e2200206. [PMID: 36449636 DOI: 10.1002/adbi.202200206] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 11/13/2022] [Indexed: 12/03/2022]
Abstract
Circulating tumor cells and hybrid cells formed by the fusion of tumor cells with normal cells are leading players in metastasis and have prognostic relevance. This study applies single-cell RNA sequencing to profile CD45-negative and CD45-positive circulating epithelial cells (CECs) in nonmetastatic breast cancer patients. CECs are represented by transcriptionally-distinct populations that include both aneuploid and diploid cells. CD45- CECs are predominantly aneuploid, but one population contained more diploid than aneuploid cells. CD45+ CECs mostly diploid: only two populations have aneuploid cells. Diploid CD45+ CECs annotated as different immune cells, surprisingly harbored many copy number aberrations, and positively correlated to tumor grade. It is noteworthy that cancer-associated signaling pathways areabundant only in one aneuploid CD45- CEC population, which may represent an aggressive subset of circulating tumor cells. Thus, CD45- and CD45+ CECs are highly heterogeneous in breast cancer patients and include aneuploid cells, which are most likely circulating tumor and hybrid cells, respectively, and diploid cells. DNA ploidy analysis can be an effective instrument for identifying tumor and hybrid cells among CECs. Further follow-up study is needed to determine which subsets of circulating tumor and hybrid cells contribute to breast cancer metastasis.
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Affiliation(s)
- Maxim E Menyailo
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
| | - Viktoria R Zainullina
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
| | - Anna A Khozyainova
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
| | - Liubov A Tashireva
- Department of General and Molecular Pathology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
| | - Sofia Yu Zolotareva
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
| | - Tatiana S Gerashchenko
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
| | - Vladimir V Alifanov
- Department of General and Molecular Pathology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
| | - Olga E Savelieva
- Department of General and Molecular Pathology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
| | - Evgeniya S Grigoryeva
- Laboratory of Molecular Oncology and Immunology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
| | - Nataliya A Tarabanovskaya
- Department of General Oncology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
| | - Nataliya O Popova
- Department of Chemotherapy, Cancer Research Institute, Tomsk National Research Medical Center Russian Academy of Sciences, Tomsk, Russia
| | - Evgeny L Choinzonov
- Department of Head and Neck Cancer, Cancer Research Institute, Tomsk National Research Medical Center Russian Academy of Sciences, Tomsk, Russia
| | - Nadezhda V Cherdyntseva
- Laboratory of Molecular Oncology and Immunology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
| | - Vladimir M Perelmuter
- Department of General and Molecular Pathology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
| | - Evgeny V Denisov
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
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36
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Lv S, Zheng D, Chen Z, Jia B, Zhang P, Yan J, Jiang W, Zhao X, Xu JJ. Near-Infrared Light-Responsive Size-Selective Lateral Flow Chip for Single-Cell Manipulation of Circulating Tumor Cells. Anal Chem 2023; 95:1201-1209. [PMID: 36541430 DOI: 10.1021/acs.analchem.2c03947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Accurately obtaining information on the heterogeneity of CTCs at the single-cell level is a very challenging task that may facilitate cancer pathogenesis research and personalized therapy. However, commonly used multicellular population capture and release assays tend to lose effective information on heterogeneity and cannot accurately assess molecular-level studies and drug resistance assessment of CTCs in different stages of tumor metastasis. Herein, we designed a near-infrared (NIR) light-responsive microfluidic chip for biocompatible single-cell manipulation and study the heterogeneity of CTCs by a combination of the lateral flow microarray (LFM) chip and photothermal response system. First, immunomagnetic labeling and a gradient magnetic field were combined to distribute CTCs in different regions of the chip according to the content of surface markers. Subsequently, the LFM chip achieves high single-cell capture efficiency and purity (even as low as 5 CTCs per milliliter of blood) under the influence of lateral fluid and magnetic fields. Due to the rapid dissolution of the gelatin capture structure at 37 °C and the photothermal properties of gold nanorods, the captured single CTC cell can be recovered in large quantities at physiological temperature or released individually at a specific point by NIR. The multifunctional NIR-responsive LFM chip demonstrates excellent performance in capture and site release of CTCs with high viability, which provides a robust and versatile means for CTCs heterogeneity study at the single-cell level.
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Affiliation(s)
- Songwei Lv
- State Key Laboratory of Analytical Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China.,School of Pharmacy, Changzhou University, Changzhou 213164, China
| | - Dong Zheng
- Department of Orthopedics, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213003, China
| | - Zhaoxian Chen
- College of Engineering and Applied Sciences, Nanjing University, Nanjing 210023, China
| | - Bin Jia
- School of Pharmacy, Changzhou University, Changzhou 213164, China
| | - Peng Zhang
- School of Pharmacy, Changzhou University, Changzhou 213164, China
| | - Jiaxuan Yan
- School of Pharmacy, Changzhou University, Changzhou 213164, China
| | - Wanlan Jiang
- Department of Rheumatology and Immunology, The First People's Hospital of Changzhou (The Third Affiliated Hospital of Soochow University), Changzhou 213003, China
| | - Xiubo Zhao
- School of Pharmacy, Changzhou University, Changzhou 213164, China
| | - Jing-Juan Xu
- State Key Laboratory of Analytical Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China
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37
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Isolation, Detection and Analysis of Circulating Tumour Cells: A Nanotechnological Bioscope. Pharmaceutics 2023; 15:pharmaceutics15010280. [PMID: 36678908 PMCID: PMC9864919 DOI: 10.3390/pharmaceutics15010280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 12/17/2022] [Accepted: 01/11/2023] [Indexed: 01/18/2023] Open
Abstract
Cancer is one of the dreaded diseases to which a sizeable proportion of the population succumbs every year. Despite the tremendous growth of the health sector, spanning diagnostics to treatment, early diagnosis is still in its infancy. In this regard, circulating tumour cells (CTCs) have of late grabbed the attention of researchers in the detection of metastasis and there has been a huge surge in the surrounding research activities. Acting as a biomarker, CTCs prove beneficial in a variety of aspects. Nanomaterial-based strategies have been devised to have a tremendous impact on the early and rapid examination of tumor cells. This review provides a panoramic overview of the different nanotechnological methodologies employed along with the pharmaceutical purview of cancer. Initiating from fundamentals, the recent nanotechnological developments toward the detection, isolation, and analysis of CTCs are comprehensively delineated. The review also includes state-of-the-art implementations of nanotechnological advances in the enumeration of CTCs, along with future challenges and recommendations thereof.
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38
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Guo L, Kong D, Liu J, Zhan L, Luo L, Zheng W, Zheng Q, Chen C, Sun S. Breast cancer heterogeneity and its implication in personalized precision therapy. Exp Hematol Oncol 2023; 12:3. [PMID: 36624542 PMCID: PMC9830930 DOI: 10.1186/s40164-022-00363-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 12/29/2022] [Indexed: 01/11/2023] Open
Abstract
Breast cancer heterogeneity determines cancer progression, treatment effects, and prognosis. However, the precise mechanism for this heterogeneity remains unknown owing to its complexity. Here, we summarize the origins of breast cancer heterogeneity and its influence on disease progression, recurrence, and therapeutic resistance. We review the possible mechanisms of heterogeneity and the research methods used to analyze it. We also highlight the importance of cell interactions for the origins of breast cancer heterogeneity, which can be further categorized into cooperative and competitive interactions. Finally, we provide new insights into precise individual treatments based on heterogeneity.
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Affiliation(s)
- Liantao Guo
- Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, No. 238 Jiefang Road, Wuchang District, Wuhan, 430060, Hubei, China
| | - Deguang Kong
- Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, No. 238 Jiefang Road, Wuchang District, Wuhan, 430060, Hubei, China
| | - Jianhua Liu
- Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, No. 238 Jiefang Road, Wuchang District, Wuhan, 430060, Hubei, China
| | - Ling Zhan
- Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, No. 238 Jiefang Road, Wuchang District, Wuhan, 430060, Hubei, China
| | - Lan Luo
- Department of Breast Surgery, The Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Road, Yunyan District, Guiyang, 550001, Guizhou, China
| | - Weijie Zheng
- Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, No. 238 Jiefang Road, Wuchang District, Wuhan, 430060, Hubei, China
| | - Qingyuan Zheng
- Department of Urology, Renmin Hospital of Wuhan University, No. 238 Jiefang Road, Wuchang District, Wuhan, 430060, Hubei, China
| | - Chuang Chen
- Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, No. 238 Jiefang Road, Wuchang District, Wuhan, 430060, Hubei, China.
| | - Shengrong Sun
- Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, No. 238 Jiefang Road, Wuchang District, Wuhan, 430060, Hubei, China.
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39
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Poonia S, Goel A, Chawla S, Bhattacharya N, Rai P, Lee YF, Yap YS, West J, Bhagat AA, Tayal J, Mehta A, Ahuja G, Majumdar A, Ramalingam N, Sengupta D. Marker-free characterization of full-length transcriptomes of single live circulating tumor cells. Genome Res 2023; 33:80-95. [PMID: 36414416 PMCID: PMC9977151 DOI: 10.1101/gr.276600.122] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 11/10/2022] [Indexed: 11/23/2022]
Abstract
The identification and characterization of circulating tumor cells (CTCs) are important for gaining insights into the biology of metastatic cancers, monitoring disease progression, and medical management of the disease. The limiting factor in the enrichment of purified CTC populations is their sparse availability, heterogeneity, and altered phenotypes relative to the primary tumor. Intensive research both at the technical and molecular fronts led to the development of assays that ease CTC detection and identification from peripheral blood. Most CTC detection methods based on single-cell RNA sequencing (scRNA-seq) use a mix of size selection, marker-based white blood cell (WBC) depletion, and antibodies targeting tumor-associated antigens. However, the majority of these methods either miss out on atypical CTCs or suffer from WBC contamination. We present unCTC, an R package for unbiased identification and characterization of CTCs from single-cell transcriptomic data. unCTC features many standard and novel computational and statistical modules for various analyses. These include a novel method of scRNA-seq clustering, named deep dictionary learning using k-means clustering cost (DDLK), expression-based copy number variation (CNV) inference, and combinatorial, marker-based verification of the malignant phenotypes. DDLK enables robust segregation of CTCs and WBCs in the pathway space, as opposed to the gene expression space. We validated the utility of unCTC on scRNA-seq profiles of breast CTCs from six patients, captured and profiled using an integrated ClearCell FX and Polaris workflow that works by the principles of size-based separation of CTCs and marker-based WBC depletion.
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Affiliation(s)
- Sarita Poonia
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi 110020, India
| | - Anurag Goel
- Department of Computer Science and Engineering, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi 110020, India;,Department of Computer Science and Engineering, Delhi Technological University, New Delhi 110042, India
| | - Smriti Chawla
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi 110020, India
| | - Namrata Bhattacharya
- Department of Computer Science and Engineering, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi 110020, India
| | - Priyadarshini Rai
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi 110020, India
| | - Yi Fang Lee
- Biolidics Limited, Singapore 118257, Singapore
| | - Yoon Sim Yap
- National Cancer Centre Singapore, Singapore 169610, Singapore
| | - Jay West
- Fluidigm Corporation, South San Francisco, California 94080, USA
| | | | - Juhi Tayal
- Department of Research, Rajiv Gandhi Cancer Institute and Research Centre-Delhi (RGCIRC-Delhi), New Delhi 110085, India
| | - Anurag Mehta
- Department of Laboratory Services and Molecular Diagnostics, Rajiv Gandhi Cancer Institute and Research Centre-Delhi (RGCIRC-Delhi), New Delhi 110085, India
| | - Gaurav Ahuja
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi 110020, India
| | - Angshul Majumdar
- Department of Computer Science and Engineering, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi 110020, India;,Centre for Artificial Intelligence, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi 110020, India;,Department of Electronics & Communications Engineering, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi 110020, India
| | | | - Debarka Sengupta
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi 110020, India;,Department of Computer Science and Engineering, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi 110020, India;,Centre for Artificial Intelligence, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi 110020, India
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40
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Qin Y, Wu L, Chiu DT. Dielectrophoresis-Assisted Self-Digitization Chip for High-Efficiency Single-Cell Analysis. Methods Mol Biol 2023; 2689:27-38. [PMID: 37430044 DOI: 10.1007/978-1-0716-3323-6_3] [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] [Indexed: 07/12/2023]
Abstract
Single-cell analysis of cell phenotypic information such as surface protein expression and nucleic acid content is essential for understanding heterogeneity within cell populations. Here the design and use of a dielectrophoresis-assisted self-digitization (SD) microfluidics chip is described; it captures single cells in isolated microchambers with high efficiency for single-cell analysis. The self-digitization chip spontaneously partitions aqueous solution into microchambers through a combination of fluidic forces, interfacial tension, and channel geometry. Single cells are guided to and trapped at the entrances of microchambers by dielectrophoresis (DEP) due to local electric field maxima created by an externally applied AC voltage. Excess cells are flushed away, and trapped cells are released into the chambers and prepared for in situ analysis by turning off the external voltage, by running reaction buffer through the chip, and by sealing the chambers with a flow of an immiscible oil phase through the surrounding channels. The use of this device in single-cell analysis is demonstrated by performing single-cell nucleic acid quantitation based on loop-mediated isothermal amplification (LAMP). This platform provides a powerful new tool for single-cell research pertaining to drug discovery. For example, the single-cell genotyping of cancer-related mutant gene observed from the digital chip could be useful biomarker for targeted therapy.
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Affiliation(s)
- Yuling Qin
- School of Public Health, Nantong University, Nantong, Jiangsu, P. R. China.
| | - Li Wu
- School of Public Health, Nantong University, Nantong, Jiangsu, P. R. China
| | - Daniel T Chiu
- Department of Chemistry and Bioengineering, University of Washington, Seattle, WA, USA
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41
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Vegliante R, Pastushenko I, Blanpain C. Deciphering functional tumor states at single-cell resolution. EMBO J 2022; 41:e109221. [PMID: 34918370 PMCID: PMC8762559 DOI: 10.15252/embj.2021109221] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 10/07/2021] [Accepted: 11/10/2021] [Indexed: 01/19/2023] Open
Abstract
Within a tumor, cancer cells exist in different states that are associated with distinct tumor functions, including proliferation, differentiation, invasion, metastasis, and resistance to anti-cancer therapy. The identification of the gene regulatory networks underpinning each state is essential for better understanding functional tumor heterogeneity and revealing tumor vulnerabilities. Here, we review the different studies identifying tumor states by single-cell sequencing approaches and the mechanisms that promote and sustain these functional states and regulate their transitions. We also describe how different tumor states are spatially distributed and interact with the specific stromal cells that compose the tumor microenvironment. Finally, we discuss how the understanding of tumor plasticity and transition states can be used to develop new strategies to improve cancer therapy.
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Affiliation(s)
- Rolando Vegliante
- Laboratory of Stem Cells and CancerUniversité Libre de BruxellesBrusselsBelgium
| | | | - Cédric Blanpain
- Laboratory of Stem Cells and CancerUniversité Libre de BruxellesBrusselsBelgium
- WELBIOUniversité Libre de BruxellesBrusselsBelgium
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42
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Deep transfer learning enables lesion tracing of circulating tumor cells. Nat Commun 2022; 13:7687. [PMID: 36509761 PMCID: PMC9744915 DOI: 10.1038/s41467-022-35296-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 11/28/2022] [Indexed: 12/14/2022] Open
Abstract
Liquid biopsy offers great promise for noninvasive cancer diagnostics, while the lack of adequate target characterization and analysis hinders its wide application. Single-cell RNA sequencing (scRNA-seq) is a powerful technology for cell characterization. Integrating scRNA-seq into a CTC-focused liquid biopsy study can perhaps classify CTCs by their original lesions. However, the lack of CTC scRNA-seq data accumulation and prior knowledge hinders further development. Therefore, we design CTC-Tracer, a transfer learning-based algorithm, to correct the distributional shift between primary cancer cells and CTCs to transfer lesion labels from the primary cancer cell atlas to CTCs. The robustness and accuracy of CTC-Tracer are validated by 8 individual standard datasets. We apply CTC-Tracer on a complex dataset consisting of RNA-seq profiles of single CTCs, CTC clusters from a BRCA patient, and two xenografts, and demonstrate that CTC-Tracer has potential in knowledge transfer between different types of RNA-seq data of lesions and CTCs.
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43
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Shen X, Zhao Y, Wang Z, Shi Q. Recent advances in high-throughput single-cell transcriptomics and spatial transcriptomics. LAB ON A CHIP 2022; 22:4774-4791. [PMID: 36254761 DOI: 10.1039/d2lc00633b] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Single-cell RNA sequencing (scRNA-seq) has been developed for characterizing the transcriptome of cells that are rare but of biological significance. With cell barcoding and microchip technologies, a suite of high-throughput scRNA-seq protocols enable transcriptome profiling in thousands of individual cells at single-cell resolution for classifying cell types, discovering novel cell populations, investigating cellular heterogeneity and elucidating lineage trajectories. Microchip technologies including microfluidics- and microwell-based platforms play a major role in high-throughput scRNA-seq. As the emerging technology, spatial transcriptomics integrates cellular transcriptomics with their spatial coordinates within tissues for spatially deciphering cellular composition, heterogeneity and cell-cell communications. Spatial transcriptomics has been increasingly recognized as one of the most powerful tools for discovering new biology and advancing precision medicine. Microfluidics as an enabling technology plays an increasingly important role in spatial transcriptomics. We review the technological spectrum and advances in high-throughput scRNA-seq and spatial transcriptomics, discuss their advantages and limitations, and pitch into new biology learned from these new tools.
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Affiliation(s)
- Xiaohan Shen
- Key Laboratory of Whole-Period Monitoring and Precise Intervention of Digestive Cancer (SMHC), Minhang Hospital and Shanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China.
| | - Yichun Zhao
- Key Laboratory of Whole-Period Monitoring and Precise Intervention of Digestive Cancer (SMHC), Minhang Hospital and Shanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China.
| | - Zhuo Wang
- Key Laboratory of Whole-Period Monitoring and Precise Intervention of Digestive Cancer (SMHC), Minhang Hospital and Shanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China.
| | - Qihui Shi
- Key Laboratory of Whole-Period Monitoring and Precise Intervention of Digestive Cancer (SMHC), Minhang Hospital and Shanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China.
- Institute of Fudan-Minhang Academic Health System, Minhang Hospital, Fudan University, Shanghai, 201199, China
- Shanghai Engineering Research Center of Biomedical Analysis Reagents, Shanghai, 201203, China
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44
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Microfluidics-based single cell analysis: From transcriptomics to spatiotemporal multi-omics. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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45
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Sreenivasan VKA, Henck J, Spielmann M. Single-cell sequencing: promises and challenges for human genetics. MED GENET-BERLIN 2022; 34:261-273. [PMID: 38836091 PMCID: PMC11006387 DOI: 10.1515/medgen-2022-2156] [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: 06/06/2024]
Abstract
Over the last decade, single-cell sequencing has transformed many fields. It has enabled the unbiased molecular phenotyping of even whole organisms with unprecedented cellular resolution. In the field of human genetics, where the phenotypic consequences of genetic and epigenetic alterations are of central concern, this transformative technology promises to functionally annotate every region in the human genome and all possible variants within them at a massive scale. In this review aimed at the clinicians in human genetics, we describe the current status of the field of single-cell sequencing and its role for human genetics, including how the technology works as well as how it is being applied to characterize and monitor diseases, to develop human cell atlases, and to annotate the genome.
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Affiliation(s)
- Varun K A Sreenivasan
- Institute of Human Genetics, University Hospital Schleswig-Holstein, University of Lübeck and Kiel University, 23562 Lübeck, 24105 Kiel, Germany
| | - Jana Henck
- Institute of Human Genetics, University Hospital Schleswig-Holstein, University of Lübeck and Kiel University, 23562 Lübeck, 24105 Kiel, Germany
- Human Molecular Genomics Group, Max Planck Institute for Molecular Genetics, D-14195 Berlin, Germany
| | - Malte Spielmann
- Institute of Human Genetics, University Hospital Schleswig-Holstein, University of Lübeck and Kiel University, 23562 Lübeck, 24105 Kiel, Germany
- Human Molecular Genomics Group, Max Planck Institute for Molecular Genetics, D-14195 Berlin, Germany
- DZHK e. V. (German Center for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, 23538 Lübeck, Germany
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46
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Tang X, Huang Q, Arai T, Liu X. Cell pairing for biological analysis in microfluidic devices. BIOMICROFLUIDICS 2022; 16:061501. [PMID: 36389274 PMCID: PMC9646252 DOI: 10.1063/5.0095828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 10/10/2022] [Indexed: 06/16/2023]
Abstract
Cell pairing at the single-cell level usually allows a few cells to contact or seal in a single chamber and provides high-resolution imaging. It is pivotal for biological research, including understanding basic cell functions, creating cancer treatment technologies, developing drugs, and more. Laboratory chips based on microfluidics have been widely used to trap, immobilize, and analyze cells due to their high efficiency, high throughput, and good biocompatibility properties. Cell pairing technology in microfluidic devices provides spatiotemporal research on cellular interactions and a highly controlled approach for cell heterogeneity studies. In the last few decades, many researchers have emphasized cell pairing research based on microfluidics. They designed various microfluidic device structures for different biological applications. Herein, we describe the current physical methods of microfluidic devices to trap cell pairs. We emphatically summarize the practical applications of cell pairing in microfluidic devices, including cell fusion, cell immunity, gap junction intercellular communication, cell co-culture, and other applications. Finally, we review the advances and existing challenges of the presented devices and then discuss the possible development directions to promote medical and biological research.
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Affiliation(s)
- Xiaoqing Tang
- Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, State Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Advanced Innovation Center for Intelligent Robots and Systems, and School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Qiang Huang
- Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, State Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Advanced Innovation Center for Intelligent Robots and Systems, and School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Tatsuo Arai
- Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, State Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Advanced Innovation Center for Intelligent Robots and Systems, and School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Xiaoming Liu
- Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, State Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Advanced Innovation Center for Intelligent Robots and Systems, and School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
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47
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Xu X, Zhang Q, Li M, Lin S, Liang S, Cai L, Zhu H, Su R, Yang C. Microfluidic single‐cell multiomics analysis. VIEW 2022. [DOI: 10.1002/viw.20220034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Affiliation(s)
- Xing Xu
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Qiannan Zhang
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Mingyin Li
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Shiyan Lin
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Shanshan Liang
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Linfeng Cai
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Huanghuang Zhu
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Rui Su
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Chaoyong Yang
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
- Institute of Molecular Medicine Renji Hospital Shanghai Jiao Tong University School of Medicine Shanghai China
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48
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Pang S, Xu S, Wang L, Wu H, Chu Y, Ma X, Li Y, Zou B, Wang S, Zhou G. Molecular profiles of single circulating tumor cells from early breast cancer patients with different lymph node statuses. Thorac Cancer 2022; 14:156-167. [PMID: 36408679 PMCID: PMC9834698 DOI: 10.1111/1759-7714.14728] [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: 08/09/2022] [Revised: 10/27/2022] [Accepted: 10/31/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Characterization of early breast cancer circulating tumor cells (CTCs) may provide valuable information on tumor metastasis. METHODS We used immunomagnetic nanospheres to capture CTCs from the peripheral blood of eight early breast cancer patients and then performed single-cell RNA sequencing using our proposed bead-dd-seq method. RESULTS CTCs displayed obvious tumor cell characteristics, such as the activation of oxidative stress, proliferation, and promotion of metastasis. CTCs were clustered into two subtypes significantly correlated with the lymph node metastasis status of patients. CTCs in subtype 1 showed a strong metastatic ability because these CTCs have the phenotype of partial epithelial-mesenchymal transition and enriched transcripts, indicating breast cancer responsiveness and proliferation. Furthermore, DNA damage repair pathways were significantly upregulated in subtype 1. We performed in vitro and in vivo investigations, and found that cellular oxidative stress and further DNA damage existed in CTCs. The activated DNA damage repair pathway in CTCs favors resistance to cisplatin. A checkpoint kinase 1 inhibitor sensitized CTCs to cisplatin in mouse models of breast cancer metastasis. CONCLUSION The present study dissects the molecular characteristics of CTCs from early-stage breast cancer, providing novel insight into the understanding of CTC behavior in breast cancer metastasis.
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Affiliation(s)
- Shuyun Pang
- Department of Clinical Pharmacy, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular MedicineMedical School of Nanjing UniversityNanjingChina
| | - Shu Xu
- School of Basic Medical Science and Clinical PharmacyChina Pharmaceutical UniversityNanjingChina
| | - Lulu Wang
- Department of General Surgery, Jinling HospitalMedical School of Nanjing UniversityNanjingChina
| | - Haiping Wu
- Department of Clinical Pharmacy, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular MedicineMedical School of Nanjing UniversityNanjingChina,School of Pharmaceutical ScienceSouthern Medical UniversityGuangzhouChina
| | - Yanan Chu
- Department of Clinical Pharmacy, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular MedicineMedical School of Nanjing UniversityNanjingChina
| | - Xueping Ma
- Department of Clinical Pharmacy, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular MedicineMedical School of Nanjing UniversityNanjingChina
| | - Yujiao Li
- Department of Clinical Pharmacy, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular MedicineMedical School of Nanjing UniversityNanjingChina
| | - Bingjie Zou
- Key Laboratory of Drug Quality Control and Pharmacovigilance, Ministry of Education, School of PharmacyChina Pharmaceutical UniversityNanjingChina
| | - Shaohua Wang
- Department of General Surgery, Jinling HospitalMedical School of Nanjing UniversityNanjingChina
| | - Guohua Zhou
- Department of Clinical Pharmacy, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular MedicineMedical School of Nanjing UniversityNanjingChina,School of Pharmaceutical ScienceSouthern Medical UniversityGuangzhouChina,School of PharmacyNanjing Medical UniversityNanjingChina
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49
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Circulating tumor cell isolation for cancer diagnosis and prognosis. EBioMedicine 2022; 83:104237. [PMID: 36041264 PMCID: PMC9440384 DOI: 10.1016/j.ebiom.2022.104237] [Citation(s) in RCA: 84] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 08/08/2022] [Accepted: 08/09/2022] [Indexed: 11/03/2022] Open
Abstract
Circulating tumor cells (CTCs) are tumor cells that shed from the primary tumor and intravasate into the peripheral blood circulation system responsible for metastasis. Sensitive detection of CTCs from clinical samples can serve as an effective tool in cancer diagnosis and prognosis through liquid biopsy. Current CTC detection technologies mainly reply on the biomarker-mediated platforms including magnetic beads, microfluidic chips or size-sensitive microfiltration which can compromise detection sensitivity due to tumor heterogeneity. A more sensitive, biomarker independent CTCs isolation technique has been recently developed with the surface-charged superparamagnetic nanoprobe capable of different EMT subpopulation CTC capture from 1 mL clinical blood. In this review, this new strategy is compared with the conventional techniques on biomarker specificity, impact of protein corona, effect of glycolysis on cell surface charge, and accurate CTC identification. Correlations between CTC enumeration and molecular profiling in clinical blood and cancer prognosis are provided for clinical cancer management.
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50
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Sattar RSA, Verma R, Nimisha, Kumar A, Dar GM, Apurva, Sharma AK, Kumari I, Ahmad E, Ali A, Mahajan B, Saluja SS. Diagnostic and prognostic biomarkers in colorectal cancer and the potential role of exosomes in drug delivery. Cell Signal 2022; 99:110413. [PMID: 35907519 DOI: 10.1016/j.cellsig.2022.110413] [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: 04/14/2022] [Revised: 07/13/2022] [Accepted: 07/15/2022] [Indexed: 11/03/2022]
Abstract
Colorectal cancer (CRC) is third most common cancer with second most common cause of death worldwide. One fourth to one fifth of the CRC cases are detected at advance stage. Early detection of colorectal cancer might help in decreasing mortality and morbidity worldwide. CRC being a heterogeneous disease, new non-invasive approaches are needed to complement and improve the screening and management of CRC. Reliable and early detectable biomarkers would improve diagnosis, prognosis, therapeutic responses, and will enable the prediction of drug response and recurrence risk. Over the past decades molecular research has demonstrated the potentials of CTCs, ctDNAs, circulating mRNA, ncRNAs, and exosomes as tumor biomarkers. Non-invasive screening approaches using fecal samples for identification of altered gut microbes in CRC is also gaining attention. Exosomes can be potential candidates that can be employed in the drug delivery system. Further, the integration of in vitro, in vivo and in silico models that involve CRC biomarkers will help to understand the interactions occurring at the cellular level. This review summarizes recent update on CRC biomarkers and their application along with the nanoparticles followed by the application of organoid culture in CRC.
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Affiliation(s)
- Real Sumayya Abdul Sattar
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India
| | - Renu Verma
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India
| | - Nimisha
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India
| | - Arun Kumar
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India
| | - Ghulam Mehdi Dar
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India
| | - Apurva
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India
| | - Abhay Kumar Sharma
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India
| | - Indu Kumari
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India
| | - Ejaj Ahmad
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India
| | - Asgar Ali
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India
| | - Bhawna Mahajan
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India; Department of Biochemistry, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India
| | - Sundeep Singh Saluja
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India; Department of GI Surgery, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi, India.
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