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Marin ND, Becker-Hapak M, Song WM, Alayo QA, Marsala L, Sonnek N, Berrien-Elliott MM, Foster M, Foltz JA, Tran J, Wong P, Cubitt CC, Pence P, Hwang K, Zhou AY, Jacobs MT, Schappe T, Russler-Germain DA, Fields RC, Ciorba MA, Fehniger TA. Memory-like differentiation enhances NK cell responses against colorectal cancer. Oncoimmunology 2024; 13:2348254. [PMID: 38737793 PMCID: PMC11086027 DOI: 10.1080/2162402x.2024.2348254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 04/23/2024] [Indexed: 05/14/2024] Open
Abstract
Metastatic (m) colorectal cancer (CRC) is an incurable disease with a poor prognosis and thus remains an unmet clinical need. Immune checkpoint blockade (ICB)-based immunotherapy is effective for mismatch repair-deficient (dMMR)/microsatellite instability-high (MSI-H) mCRC patients, but it does not benefit the majority of mCRC patients. NK cells are innate lymphoid cells with potent effector responses against a variety of tumor cells but are frequently dysfunctional in cancer patients. Memory-like (ML) NK cells differentiated after IL-12/IL-15/IL-18 activation overcome many challenges to effective NK cell anti-tumor responses, exhibiting enhanced recognition, function, and in vivo persistence. We hypothesized that ML differentiation enhances the NK cell responses to CRC. Compared to conventional (c) NK cells, ML NK cells displayed increased IFN-γ production against both CRC cell lines and primary patient-derived CRC spheroids. ML NK cells also exhibited improved killing of CRC target cells in vitro in short-term and sustained cytotoxicity assays, as well as in vivo in NSG mice. Mechanistically, enhanced ML NK cell responses were dependent on the activating receptor NKG2D as its blockade significantly decreased ML NK cell functions. Compared to cNK cells, ML NK cells exhibited greater antibody-dependent cytotoxicity when targeted against CRC by cetuximab. ML NK cells from healthy donors and mCRC patients exhibited increased anti-CRC responses. Collectively, our findings demonstrate that ML NK cells exhibit enhanced responses against CRC targets, warranting further investigation in clinical trials for mCRC patients, including those who have failed ICB.
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Affiliation(s)
- Nancy D. Marin
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Michelle Becker-Hapak
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Wilbur M. Song
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Quazim A. Alayo
- Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Lynne Marsala
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Naomi Sonnek
- Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Melissa M. Berrien-Elliott
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Mark Foster
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Jennifer A. Foltz
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Jennifer Tran
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Pamela Wong
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Celia C. Cubitt
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Patrick Pence
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Kimberly Hwang
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Alice Y. Zhou
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Miriam T. Jacobs
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Timothy Schappe
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - David A. Russler-Germain
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Ryan C. Fields
- Section of Surgical Oncology, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Matthew A. Ciorba
- Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Todd A. Fehniger
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
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Kim HA, Kim H, Nam MK, Park JK, Lee MY, Chung S, Lee KM, Kuh HJ. Suppression of the antitumoral activity of natural killer cells under indirect coculture with cancer-associated fibroblasts in a pancreatic TIME-on-chip model. Cancer Cell Int 2023; 23:219. [PMID: 37759302 PMCID: PMC10536815 DOI: 10.1186/s12935-023-03064-9] [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: 04/23/2023] [Accepted: 09/13/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND Recently, natural killer (NK) cells emerged as a treatment option for various solid tumors. However, the immunosuppressive tumor immune microenvironment (TIME) can reduce the cytotoxic ability of NK cells in pancreatic ductal adenocarcinoma. Cancer-associated fibroblasts within the tumor stroma can suppress immune surveillance by dysregulating factors involved in the cellular activity of NK cells. Herein, the effect of activated pancreatic stellate cells (aPSCs) on NK cell-mediated anticancer efficacy under three-dimensional (3D) coculture conditions was investigated. METHODS 3D cocultures of PANC-1 tumor spheroids (TSs) with aPSCs and NK-92 cells in a collagen matrix were optimized to identify the occurring cellular interactions and differential cytokine profiles in conditioned media using microchannel chips. PANC-1 TSs and aPSCs were indirectly cocultured, whereas NK-92 cells were allowed to infiltrate the TS channel using convective medium flow. RESULTS Coculture with aPSCs promoted PANC-1 TSs growth and suppressed the antitumor cytotoxic effects of NK-92 cells. Mutual inhibition of cellular activity without compromising migration ability was observed between aPSCs and NK-92 cells. Moreover, the reduced killing activity of NK-92 cells was found to be related with reduced granzyme B expression in NK cells. CONCLUSIONS Herein, a novel TIME-on-chip model based on the coculture of PANC-1 TSs, aPSCs, and NK-92 cells was described. This model may be useful for studying the detailed mechanisms underlying NK cells dysregulation and for exploring future therapeutic interventions to restore NK cell activity in the tumor microenvironment.
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Affiliation(s)
- Hyun-Ah Kim
- Department of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hyunsoo Kim
- School of Mechanical Engineering, College of Engineering, Korea University, Seoul, Republic of Korea
| | - Min-Kyung Nam
- Cancer Evolution Research Center, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jong Kook Park
- Department of Biomedical Science and Research Institute for Bioscience & Biotechnology, Hallym University, Chuncheon, 24252 Republic of Korea
| | - Moo-Yeal Lee
- Department of Biomedical Engineering, University of North Texas, 3940 North Elm Street, Denton, TX 76207 USA
| | - Seok Chung
- School of Mechanical Engineering, College of Engineering, Korea University, Seoul, Republic of Korea
| | - Kyung-Mi Lee
- Department of Biochemistry and Molecular Biology, Korea University College of Medicine, Seoul, Republic of Korea
| | - Hyo-Jeong Kuh
- Department of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul, Republic of Korea
- Cancer Evolution Research Center, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Department of Medical Life Sciences, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-ku, Seoul, 06591 Republic of Korea
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Banda Sánchez C, Cubo Mateo N, Saldaña L, Valdivieso A, Earl J, González Gómez I, Rodríguez-Lorenzo LM. Selection and Optimization of a Bioink Based on PANC-1- Plasma/Alginate/Methylcellulose for Pancreatic Tumour Modelling. Polymers (Basel) 2023; 15:3196. [PMID: 37571089 PMCID: PMC10421301 DOI: 10.3390/polym15153196] [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: 06/04/2023] [Revised: 07/18/2023] [Accepted: 07/25/2023] [Indexed: 08/13/2023] Open
Abstract
3D bioprinting involves using bioinks that combine biological and synthetic materials. The selection of the most appropriate cell-material combination for a specific application is complex, and there is a lack of consensus on the optimal conditions required. Plasma-loaded alginate and alginate/methylcellulose (Alg/MC) inks were chosen to study their viscoelastic behaviour, degree of recovery, gelation kinetics, and cell survival after printing. Selected inks showed a shear thinning behavior from shear rates as low as 0.2 s-1, and the ink composed of 3% w/v SA and 9% w/v MC was the only one showing a successful stacking and 96% recovery capacity. A 0.5 × 106 PANC-1 cell-laden bioink was extruded with an Inkredible 3D printer (Cellink) through a D = 410 μm tip conical nozzle into 6-well culture plates. Cylindrical constructs were printed and crosslinked with CaCl2. Bioinks suffered a 1.845 Pa maximum pressure at the tip that was not deleterious for cellular viability. Cell aggregates can be appreciated for the cut total length observed in confocal microscopy, indicating a good proliferation rate at different heights of the construct, and suggesting the viability of the selected bioink PANC-1/P-Alg3/MC9 for building up three-dimensional bioprinted pancreatic tumor constructs.
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Affiliation(s)
| | - Nieves Cubo Mateo
- Nebrija Research Group ARIES, Higher Polytechnic School, Antonio de Nebrija University, 28015 Madrid, Spain
- Institute for Physical and Information Technologies (ITEFI-CSIC), Sensors and Ultrasonic Systems, 28006 Madrid, Spain
| | - Laura Saldaña
- IdiPAZ, Hospital Universitario La Paz, 28046 Madrid, Spain
- Biomedical Research Networking Center in Bioengineering, Biomaterials, and Nanomedicine, CIBER-BBN, 28029 Madrid, Spain
| | - Alba Valdivieso
- Institute for Physical and Information Technologies (ITEFI-CSIC), Sensors and Ultrasonic Systems, 28006 Madrid, Spain
| | - Julie Earl
- Ramón y Cajal Health Research Institute (IRYCIS), Molecular Epidemiology and Predictive Tumour Markers, 28034 Madrid, Spain
- Biomedical Research Network in Cancer (CIBERONC), 28034 Madrid, Spain
| | - Itziar González Gómez
- Institute for Physical and Information Technologies (ITEFI-CSIC), Sensors and Ultrasonic Systems, 28006 Madrid, Spain
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Pushparaj K, Balasubramanian B, Pappuswamy M, Anand Arumugam V, Durairaj K, Liu WC, Meyyazhagan A, Park S. Out of Box Thinking to Tangible Science: A Benchmark History of 3D Bio-Printing in Regenerative Medicine and Tissues Engineering. Life (Basel) 2023; 13:life13040954. [PMID: 37109483 PMCID: PMC10145662 DOI: 10.3390/life13040954] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/31/2023] [Accepted: 04/04/2023] [Indexed: 04/09/2023] Open
Abstract
Advancements and developments in the 3D bioprinting have been promising and have met the needs of organ transplantation. Current improvements in tissue engineering constructs have enhanced their applications in regenerative medicines and other medical fields. The synergistic effects of 3D bioprinting have brought technologies such as tissue engineering, microfluidics, integrated tissue organ printing, in vivo bioprinted tissue implants, artificial intelligence and machine learning approaches together. These have greatly impacted interventions in medical fields, such as medical implants, multi-organ-on-chip models, prosthetics, drug testing tissue constructs and much more. This technological leap has offered promising personalized solutions for patients with chronic diseases, and neurodegenerative disorders, and who have been in severe accidents. This review discussed the various standing printing methods, such as inkjet, extrusion, laser-assisted, digital light processing, and stereolithographic 3D bioprinter models, adopted for tissue constructs. Additionally, the properties of natural, synthetic, cell-laden, dECM-based, short peptides, nanocomposite and bioactive bioinks are briefly discussed. Sequels of several tissue-laden constructs such as skin, bone and cartilage, liver, kidney, smooth muscles, cardiac and neural tissues are briefly analyzed. Challenges, future perspectives and the impact of microfluidics in resolving the limitations in the field, along with 3D bioprinting, are discussed. Certainly, a technology gap still exists in the scaling up, industrialization and commercialization of this technology for the benefit of stakeholders.
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Affiliation(s)
- Karthika Pushparaj
- Department of Zoology, School of Biosciences, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore 641 043, Tamil Nadu, India
| | | | - Manikantan Pappuswamy
- Department of Life Science, CHRIST (Deemed to be University), Bengaluru 560 076, Karnataka, India
| | - Vijaya Anand Arumugam
- Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore 641 046, Tamil Nadu, India
| | - Kaliannan Durairaj
- Department of Infection Biology, School of Medicine, Wonkwang University, lksan 54538, Republic of Korea
| | - Wen-Chao Liu
- Department of Animal Science, College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524088, China
| | - Arun Meyyazhagan
- Department of Life Science, CHRIST (Deemed to be University), Bengaluru 560 076, Karnataka, India
| | - Sungkwon Park
- Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul 05006, Republic of Korea
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Mu P, Zhou S, Lv T, Xia F, Shen L, Wan J, Wang Y, Zhang H, Cai S, Peng J, Hua G, Zhang Z. Newly developed 3D in vitro models to study tumor-immune interaction. J Exp Clin Cancer Res 2023; 42:81. [PMID: 37016422 PMCID: PMC10074642 DOI: 10.1186/s13046-023-02653-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 03/24/2023] [Indexed: 04/06/2023] Open
Abstract
Immunotherapy as a rapidly developing therapeutic approach has revolutionized cancer treatment and revitalized the field of tumor immunology research. 3D in vitro models are emerging as powerful tools considering their feature to maintain tumor cells in a near-native state and have been widely applied in oncology research. The novel 3D culture methods including the co-culture of organoids and immune cells, ALI culture, 3D-microfluidic culture and 3D-bioprinting offer new approaches for tumor immunology study and can be applied in many fields such as personalized treatment, immunotherapy optimizing and adoptive cell therapy. In this review, we introduce commonly used 3D in vitro models and summarize their applications in different aspects of tumor immunology research. We also provide a preliminary analysis of the current shortcomings of these models and the outlook of future development.
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Affiliation(s)
- Peiyuan Mu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Shujuan Zhou
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Tao Lv
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Fan Xia
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Lijun Shen
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Juefeng Wan
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Yaqi Wang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Hui Zhang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Sanjun Cai
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Cancer institute, Fudan University Shanghai Cancer Center, 200032, Shanghai, China
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Fudan University, 200032, Shanghai, China
| | - Junjie Peng
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Fudan University, 200032, Shanghai, China
| | - Guoqiang Hua
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China.
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China.
- Cancer institute, Fudan University Shanghai Cancer Center, 200032, Shanghai, China.
| | - Zhen Zhang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China.
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China.
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Visalakshan RM, Lowrey MK, Sousa MGC, Helms HR, Samiea A, Schutt CE, Moreau JM, Bertassoni LE. Opportunities and challenges to engineer 3D models of tumor-adaptive immune interactions. Front Immunol 2023; 14:1162905. [PMID: 37081897 PMCID: PMC10110941 DOI: 10.3389/fimmu.2023.1162905] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 03/14/2023] [Indexed: 04/09/2023] Open
Abstract
Augmenting adaptive immunity is a critical goal for developing next-generation cancer therapies. T and B cells infiltrating the tumor dramatically influence cancer progression through complex interactions with the local microenvironment. Cancer cells evade and limit these immune responses by hijacking normal immunologic pathways. Current experimental models using conventional primary cells, cell lines, or animals have limitations for studying cancer-immune interactions directly relevant to human biology and clinical translation. Therefore, engineering methods to emulate such interplay at local and systemic levels are crucial to expedite the development of better therapies and diagnostic tools. In this review, we discuss the challenges, recent advances, and future directions toward engineering the tumor-immune microenvironment (TME), including key elements of adaptive immunity. We first offer an overview of the recent research that has advanced our understanding of the role of the adaptive immune system in the tumor microenvironment. Next, we discuss recent developments in 3D in-vitro models and engineering approaches that have been used to study the interaction of cancer and stromal cells with B and T lymphocytes. We summarize recent advancement in 3D bioengineering and discuss the need for 3D tumor models that better incorporate elements of the complex interplay of adaptive immunity and the tumor microenvironment. Finally, we provide a perspective on current challenges and future directions for modeling cancer-immune interactions aimed at identifying new biological targets for diagnostics and therapeutics.
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7
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Fibroblasts Impair Migration and Antitumor Activity of NK-92 Lymphocytes in a Melanoma-on-Chip Model. BIOENGINEERING (BASEL, SWITZERLAND) 2022; 10:bioengineering10010052. [PMID: 36671624 PMCID: PMC9854880 DOI: 10.3390/bioengineering10010052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 12/28/2022] [Accepted: 12/28/2022] [Indexed: 01/03/2023]
Abstract
Adoptive cell therapy in solid tumors, such as melanoma, is impaired, but little is known about the role that the fibroblasts present in the tumor microenvironment could exert. However, the mechanism at play is not well understood, partly due to the lack of relevant pre-clinical models. Three-dimensional culture and microfluidic chips are used to recapitulate the dynamic interactions among different types of cells in the tumor microenvironment in controlled and physiological settings. In this brief report, we propose a reductionist melanoma-on-a-chip model for evaluating the essential role of fibroblasts in the antitumor activity of lymphocytes. To this end, 3D melanoma spheroids were monocultured and co-cultured with human dermal fibroblasts and the NK-92 cell migration towards the tumor compartment was tested in a commercially available microfluidic device. Utilizing confocal microscopy, we observed the different recruitment of NK-92 cells in the presence and absence of fibroblasts. Our results show that fibroblasts' presence inhibits immune effector recruiting by exploiting a 3D pre-clinical tumor model.
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Liu X, Su Q, Zhang X, Yang W, Ning J, Jia K, Xin J, Li H, Yu L, Liao Y, Zhang D. Recent Advances of Organ-on-a-Chip in Cancer Modeling Research. BIOSENSORS 2022; 12:bios12111045. [PMID: 36421163 PMCID: PMC9688857 DOI: 10.3390/bios12111045] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 11/15/2022] [Accepted: 11/16/2022] [Indexed: 05/27/2023]
Abstract
Although many studies have focused on oncology and therapeutics in cancer, cancer remains one of the leading causes of death worldwide. Due to the unclear molecular mechanism and complex in vivo microenvironment of tumors, it is challenging to reveal the nature of cancer and develop effective therapeutics. Therefore, the development of new methods to explore the role of heterogeneous TME in individual patients' cancer drug response is urgently needed and critical for the effective therapeutic management of cancer. The organ-on-chip (OoC) platform, which integrates the technology of 3D cell culture, tissue engineering, and microfluidics, is emerging as a new method to simulate the critical structures of the in vivo tumor microenvironment and functional characteristics. It overcomes the failure of traditional 2D/3D cell culture models and preclinical animal models to completely replicate the complex TME of human tumors. As a brand-new technology, OoC is of great significance for the realization of personalized treatment and the development of new drugs. This review discusses the recent advances of OoC in cancer biology studies. It focuses on the design principles of OoC devices and associated applications in cancer modeling. The challenges for the future development of this field are also summarized in this review. This review displays the broad applications of OoC technique and has reference value for oncology development.
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Affiliation(s)
- Xingxing Liu
- Guangdong Provincial Key Laboratory of Industrial Surfactant, Institute of Chemical Engineering, Guangdong Academy of Sciences, Guangzhou 510075, China
| | - Qiuping Su
- Guangdong Provincial Key Laboratory of Industrial Surfactant, Institute of Chemical Engineering, Guangdong Academy of Sciences, Guangzhou 510075, China
| | - Xiaoyu Zhang
- Research Center for Intelligent Sensing Systems, Zhejiang Laboratory, Hangzhou 311100, China
| | - Wenjian Yang
- Research Center for Intelligent Sensing Systems, Zhejiang Laboratory, Hangzhou 311100, China
| | - Junhua Ning
- Guangdong Provincial Key Laboratory of Industrial Surfactant, Institute of Chemical Engineering, Guangdong Academy of Sciences, Guangzhou 510075, China
| | - Kangle Jia
- Guangdong Provincial Key Laboratory of Industrial Surfactant, Institute of Chemical Engineering, Guangdong Academy of Sciences, Guangzhou 510075, China
| | - Jinlan Xin
- Guangdong Provincial Key Laboratory of Industrial Surfactant, Institute of Chemical Engineering, Guangdong Academy of Sciences, Guangzhou 510075, China
| | - Huanling Li
- Guangdong Provincial Key Laboratory of Industrial Surfactant, Institute of Chemical Engineering, Guangdong Academy of Sciences, Guangzhou 510075, China
| | - Longfei Yu
- Guangdong Provincial Key Laboratory of Industrial Surfactant, Institute of Chemical Engineering, Guangdong Academy of Sciences, Guangzhou 510075, China
| | - Yuheng Liao
- Research Center for Intelligent Sensing Systems, Zhejiang Laboratory, Hangzhou 311100, China
| | - Diming Zhang
- Research Center for Intelligent Sensing Systems, Zhejiang Laboratory, Hangzhou 311100, China
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9
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Sonju JJ, Dahal A, Prasasty VD, Shrestha P, Liu YY, Jois SD. Assessment of Antitumor and Antiproliferative Efficacy and Detection of Protein-Protein Interactions in Cancer Cells from 3D Tumor Spheroids. Curr Protoc 2022; 2:e569. [PMID: 36286844 PMCID: PMC9886098 DOI: 10.1002/cpz1.569] [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: 11/06/2022]
Abstract
When compared to two-dimensional (2D) cell cultures, 3D spheroids have been considered suitable in vitro models for drug discovery research and other studies of drug activity. Based on different 3D cell culture procedures, we describe procedures we have used to obtain 3D tumor spheroids by both the hanging-drop and ultra-low-attachment plate methods and to analyze the antiproliferative and antitumor efficacy of different chemotherapeutic agents, including a peptidomimetic. We have applied this method to breast and lung cancer cell lines such as BT-474, MCF-7, A549, and Calu-3. We also describe a proximity ligation assay of the cells from the spheroid model to detect protein-protein interactions of EGFR and HER2. © 2022 Wiley Periodicals LLC. Basic Protocol 1: Growth of 3D spheroids using the hanging-drop method Basic Protocol 2: Growth of spheroids using ultra-low-attachment plates Support Protocol 1: Cell viability assay of tumor spheroids Support Protocol 2: Antiproliferative and antitumor study in 3D tumor spheroids Support Protocol 3: Proximity ligation assay on cells derived from 3D spheroids.
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Affiliation(s)
- Jafrin Jobayer Sonju
- School of Basic Pharmaceutical and Toxicological Sciences, College of Pharmacy, University of Louisiana Monroe, Monroe, Louisiana
- These authors contributed equally to this work
| | - Achyut Dahal
- School of Basic Pharmaceutical and Toxicological Sciences, College of Pharmacy, University of Louisiana Monroe, Monroe, Louisiana
- These authors contributed equally to this work
| | - Vivitri Dewi Prasasty
- School of Basic Pharmaceutical and Toxicological Sciences, College of Pharmacy, University of Louisiana Monroe, Monroe, Louisiana
| | - Prajesh Shrestha
- School of Basic Pharmaceutical and Toxicological Sciences, College of Pharmacy, University of Louisiana Monroe, Monroe, Louisiana
| | - Yong-Yu Liu
- School of Basic Pharmaceutical and Toxicological Sciences, College of Pharmacy, University of Louisiana Monroe, Monroe, Louisiana
| | - Seetharama D. Jois
- School of Basic Pharmaceutical and Toxicological Sciences, College of Pharmacy, University of Louisiana Monroe, Monroe, Louisiana
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Diegmiller R, Salphati L, Alicke B, Wilson TR, Stout TJ, Hafner M. Growth‐rate model predicts in vivo tumor response from in vitro data. CPT Pharmacometrics Syst Pharmacol 2022; 11:1183-1193. [PMID: 35731938 PMCID: PMC9469692 DOI: 10.1002/psp4.12836] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/18/2022] [Accepted: 06/07/2022] [Indexed: 11/18/2022] Open
Abstract
A major challenge in oncology drug development is to elucidate why drugs that show promising results in cancer cell lines in vitro fail in mouse studies or human trials. One of the fundamental steps toward solving this problem is to better predict how in vitro potency translates into in vivo efficacy. A common approach to infer whether a model will respond in vivo is based on in vitro half‐maximal inhibitory concentration values (IC50), but yields limited quantitative comparison between cell lines and drugs, potentially because cell division and death rates differ between cell lines and in vivo models. Other methods based either on mechanistic modeling or machine learning require molecular insights or extensive training data, limiting their use for early drug development. To address these challenges, we propose a mathematical model integrating in vitro growth rate inhibition values with pharmacokinetic parameters to estimate in vivo drug response. Upon calibration with a drug‐specific factor, our model yields precise estimates of tumor growth rate inhibition for in vivo studies based on in vitro data. We then demonstrate how our model can be used to study dosing schedules and perform sensitivity analyses. In addition, it provides meaningful metrics to assess association with genotypes and guide clinical trial design. By relying on commonly collected data, our approach shows great promise for optimizing drug development, better characterizing the efficacy of novel molecules targeting proliferation, and identifying more robust biomarkers of sensitivity while limiting the number of in vivo experiments.
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Affiliation(s)
- Rocky Diegmiller
- Department of Chemical and Biological Engineering and Lewis‐Sigler Institute for Integrative Genomics Princeton University Princeton New Jersey USA
| | - Laurent Salphati
- Department of Drug Metabolism and Pharmacokinetics Genentech Inc. South San Francisco California USA
| | - Bruno Alicke
- Department of Translational Oncology Genentech Inc. South San Francisco California USA
| | - Timothy R. Wilson
- Department of Oncology Biomarker Development Genentech Inc. South San Francisco California USA
| | - Thomas J. Stout
- Department of Product Development Oncology Genentech Inc. South San Francisco California USA
| | - Marc Hafner
- Department of Oncology Bioinformatics Genentech Inc. South San Francisco California USA
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Poggi A, Zocchi MR. Anti-cancer γδ T lymphocytes: contradictory past and promising future. EXPLORATION OF IMMUNOLOGY 2022:220-228. [DOI: 10.37349/ei.2022.00047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 03/14/2022] [Indexed: 08/15/2024]
Abstract
Recent anti-cancer strategies are based on the stimulation of anti-tumor immune reaction, exploiting distinct lymphocyte subsets. Among them, γδ T cells represent optimal anti-cancer candidates, especially in those tissues where they are highly localized, such as the respiratory or gastrointestinal tract. One important challenge has been the identification of stimulating drugs able to induce and maintain γδ T cell-mediated anti-cancer immune response. Amino-bisphosphonates (N-BPs) have been largely employed in anti-cancer clinical trials due to their ability to upregulate the accumulation of pyrophosphates that promote the activation of Vγ9Vδ2 T cells. This activation depends on the butyrophilin A family, which is crucial in contributing to Vγ9Vδ2 T cells stimulation but is not equally expressed in all cancer tissues. Thus, the clinical outcome of such treatments is still a challenge. In this viewpoint, a critical picture of γδ T cells as effective anti-cancer effectors is designed, with a specific focus on the best immune-stimulating therapeutic schemes involving this lymphocyte subset and the tools available to measure their efficacy and presence in tumor tissues. Some pre-clinical models, useful to measure γδ T cell anti-cancer potential and their response to stimulating drugs, therapeutic monoclonal antibodies, or bispecific antibodies are described. Computerized imaging and digital pathology are also proposed as a help in the identification of co-stimulatory molecules and localization of γδ T cell effectors. Finally, two types of novel drug preparation are proposed: nanoparticles loaded with N-BPs and pro-drug formulations that enhance the effectiveness of γδ T lymphocyte stimulation.
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Affiliation(s)
- Alessandro Poggi
- Molecular Oncology and Angiogenesis Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| | - Maria Raffaella Zocchi
- Department of Immunology, Transplants and Infectious Diseases, IRCCS Scientific Institute San Raffaele, 20132 Milan, Italy
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12
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Abstract
The discovery of immune checkpoints (ICs) and the development of specific blockers to relieve immune effector cells from this inhibiting mechanism has changed the view of anti-cancer therapy. In addition to cytotoxic T lymphocyte antigen 4 (CTLA4) and programmed death 1 (PD1), classical ICs of T lymphocytes and recently described also on a fraction of natural killer (NK) cells, several NK cell receptors, including killer immunoglobulin-like inhibitory receptors (KIRs) and NGK2A, have been recognized as checkpoint members typical of the NK cell population. This offers the opportunity of a dual-checkpoint inhibition approach, targeting classical and non-classical ICs and leading to a synergistic therapeutic effect. In this review, we will overview and discuss this new perspective, focusing on the most relevant candidates for this role among the variety of potential NK ICs. Beside listing and defining classical ICs expressed also by NK cells, or non-classical ICs either on T or on NK cells, we will address their role in NK cell survival, chronic stimulation or functional exhaustion, and the potential relevance of this phenomenon on anti-tumor immune response. Furthermore, NK ICs will be proposed as possible new targets for the development of efficient combined immunotherapy, not forgetting the relevant concerns that may be raised on NK IC blockade. Finally, the impact of epigenetic drugs in such a complex therapeutic picture will be briefly addressed.
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Nkune NW, Simelane NWN, Montaseri H, Abrahamse H. Photodynamic Therapy-Mediated Immune Responses in Three-Dimensional Tumor Models. Int J Mol Sci 2021; 22:12618. [PMID: 34884424 PMCID: PMC8657498 DOI: 10.3390/ijms222312618] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 11/16/2021] [Accepted: 11/16/2021] [Indexed: 12/12/2022] Open
Abstract
Photodynamic therapy (PDT) is a promising non-invasive phototherapeutic approach for cancer therapy that can eliminate local tumor cells and produce systemic antitumor immune responses. In recent years, significant efforts have been made in developing strategies to further investigate the immune mechanisms triggered by PDT. The majority of in vitro experimental models still rely on the two-dimensional (2D) cell cultures that do not mimic a three-dimensional (3D) cellular environment in the human body, such as cellular heterogeneity, nutrient gradient, growth mechanisms, and the interaction between cells as well as the extracellular matrix (ECM) and therapeutic resistance to anticancer treatments. In addition, in vivo animal studies are highly expensive and time consuming, which may also show physiological discrepancies between animals and humans. In this sense, there is growing interest in the utilization of 3D tumor models, since they precisely mimic different features of solid tumors. This review summarizes the characteristics and techniques for 3D tumor model generation. Furthermore, we provide an overview of innate and adaptive immune responses induced by PDT in several in vitro and in vivo tumor models. Future perspectives are highlighted for further enhancing PDT immune responses as well as ideal experimental models for antitumor immune response studies.
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Affiliation(s)
| | | | | | - Heidi Abrahamse
- Laser Research Centre, Faculty of Health Sciences, University of Johannesburg, P.O. Box 17011, Johannesburg 2028, South Africa; (N.W.N.); (N.W.N.S.); (H.M.)
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