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Nasioudis D, Pashankar FD. Management of recurrent and persistent malignant ovarian germ cell tumors: a narrative review. Int J Gynecol Cancer 2024; 34:1454-1460. [PMID: 38991656 DOI: 10.1136/ijgc-2023-005052] [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] [Indexed: 07/13/2024] Open
Abstract
Approximately 10% of patients with malignant ovarian germ cell tumors will experience a tumor relapse. Given the rarity of malignant ovarian germ cell tumors, management of these patients is challenging. Secondary cytoreductive surgery can be considered for carefully selected patients with a goal to achieve complete gross or optimal resection. For patients with platinum sensitive disease who have already received platinum-based chemotherapy, standard dose chemotherapy with paclitaxel/ifosfamide/cisplatin or vinblastine/ifosfamide/cisplatin can be considered. High-dose chemotherapy protocols at specialized centers should be explored even for patients with platinum-resistant disease; however, optimal timing is under investigation. A subset of patients with malignant ovarian germ cell tumors harbors potentially actionable genomic alterations. Further research is required to identify novel therapeutic approaches for these patients.
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Affiliation(s)
- Dimitrios Nasioudis
- Division of Gynecologic Oncology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Vonniessen B, Tabariès S, Siegel PM. Antibody-mediated targeting of Claudins in cancer. Front Oncol 2024; 14:1320766. [PMID: 38371623 PMCID: PMC10869466 DOI: 10.3389/fonc.2024.1320766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 01/09/2024] [Indexed: 02/20/2024] Open
Abstract
Tight junctions (TJs) are large intercellular adhesion complexes that maintain cell polarity in normal epithelia and endothelia. Claudins are critical components of TJs, forming homo- and heteromeric interaction between adjacent cells, which have emerged as key functional modulators of carcinogenesis and metastasis. Numerous epithelial-derived cancers display altered claudin expression patterns, and these aberrantly expressed claudins have been shown to regulate cancer cell proliferation/growth, metabolism, metastasis and cell stemness. Certain claudins can now be used as biomarkers to predict patient prognosis in a variety of solid cancers. Our understanding of the distinct roles played by claudins during the cancer progression has progressed significantly over the last decade and claudins are now being investigated as possible diagnostic markers and therapeutic targets. In this review, we will summarize recent progress in the use of antibody-based or related strategies for targeting claudins in cancer treatment. We first describe pre-clinical studies that have facilitated the development of neutralizing antibodies and antibody-drug-conjugates targeting Claudins (Claudins-1, -3, -4, -6 and 18.2). Next, we summarize clinical trials assessing the efficacy of antibodies targeting Claudin-6 or Claudin-18.2. Finally, emerging strategies for targeting Claudins, including Chimeric Antigen Receptor (CAR)-T cell therapy and Bi-specific T cell engagers (BiTEs), are also discussed.
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Affiliation(s)
- Benjamin Vonniessen
- Goodman Cancer Institute, McGill University, Montréal, QC, Canada
- Department of Medicine, McGill University, Montréal, QC, Canada
| | - Sébastien Tabariès
- Goodman Cancer Institute, McGill University, Montréal, QC, Canada
- Department of Medicine, McGill University, Montréal, QC, Canada
| | - Peter M. Siegel
- Goodman Cancer Institute, McGill University, Montréal, QC, Canada
- Department of Medicine, McGill University, Montréal, QC, Canada
- Department of Biochemistry, McGill University, Montréal, QC, Canada
- Department of Anatomy & Cell Biology, McGill University, Montréal, QC, Canada
- Department of Oncology, McGill University, Montréal, QC, Canada
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Wakileh GA, Bierholz P, Kotthoff M, Skowron MA, Bremmer F, Stephan A, Anbuhl SM, Heukers R, Smit MJ, Ströbel P, Nettersheim D. Molecular characterization of the CXCR4 / CXCR7 axis in germ cell tumors and its targetability using nanobody-drug-conjugates. Exp Hematol Oncol 2023; 12:96. [PMID: 37996954 PMCID: PMC10668499 DOI: 10.1186/s40164-023-00460-9] [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: 01/24/2023] [Accepted: 11/17/2023] [Indexed: 11/25/2023] Open
Abstract
Being stimulated by the chemokine CXCL12, the CXCR4 / CXCR7 cascade is involved in tumor proliferation, migration, and metastasis. The interaction between CXCL12, secreted by cells from the microenvironment, and its receptors is complex and has been ascribed to promote chemotherapy resistance. However, the role of this signaling axis and its targetability in germ cell tumors (GCT) is not fully understood. Thus, this study investigated the therapeutic efficacy of a nanobody-drug-conjugate targeting CXCR4 (CXCR4-NDC) and functionally characterized this signaling pathway in GCT using small molecule inhibitors and nanobodies. As shown by diminished cell viability, enhanced apoptosis induction, and detection of mitotic catastrophes, we confirmed the cytotoxic efficacy of the CXCR4-NDC in CXCR4+-GCT cells (i.e. seminoma and yolk-sac tumor), while non-malignant CXCR4--fibroblasts, remained largely unaffected. Stimulation of CXCR4+ / CXCR7+-GCT cells with CXCL12 resulted in an enhanced proliferative and migratory capacity, while this effect could be reverted using CXCR4 inhibitors or a CXCR7-nanobody. Molecularly, the CXCR4 / CXCR7-signaling cascade could be activated independently of MAPK (ERK1 / 2)-phosphorylation. Although, in CXCR4- / CXCR7--embryonal carcinoma cells, CXCR7-expression was re-induced upon inhibition of ERK1 / 2-signaling. This study identified a nanobody-drug-conjugate targeting CXCR4 as a putative therapeutic option for GCT, i.e. seminoma and yolk-sac tumors. Furthermore, this study shed light on the functional role of the CXCR4 / CXCR7 / CXCL12-signaling cascade in GCT, demonstrating an important influence on proliferation and migration.
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Affiliation(s)
- Gamal A Wakileh
- Department of Urology, Urological Research Laboratory, Translational UroOncology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
- Department of Urology, University Hospital Ulm, Ulm, Germany
| | - Philipp Bierholz
- Department of Urology, Urological Research Laboratory, Translational UroOncology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Düsseldorf, Germany
| | - Mara Kotthoff
- Department of Urology, Urological Research Laboratory, Translational UroOncology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Düsseldorf, Germany
| | - Margaretha A Skowron
- Department of Urology, Urological Research Laboratory, Translational UroOncology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Düsseldorf, Germany
| | - Felix Bremmer
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany
| | - Alexa Stephan
- Department of Urology, Urological Research Laboratory, Translational UroOncology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Düsseldorf, Germany
| | - Stephanie M Anbuhl
- Amsterdam Institute for Molecular and Life Sciences, Division of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit, Amsterdam, Netherlands
- QVQ Holding BV, Utrecht, the Netherlands
| | - Raimond Heukers
- Amsterdam Institute for Molecular and Life Sciences, Division of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit, Amsterdam, Netherlands
- QVQ Holding BV, Utrecht, the Netherlands
| | - Martine J Smit
- Amsterdam Institute for Molecular and Life Sciences, Division of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit, Amsterdam, Netherlands
| | - Philipp Ströbel
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany
| | - Daniel Nettersheim
- Department of Urology, Urological Research Laboratory, Translational UroOncology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Düsseldorf, Germany.
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Wang J, Gao M, Yang L, Huang Y, Wang J, Wang B, Song G, Wang Z. Cell recognition based on atomic force microscopy and modified residual neural network. J Struct Biol 2023; 215:107991. [PMID: 37451561 DOI: 10.1016/j.jsb.2023.107991] [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: 01/12/2023] [Revised: 06/01/2023] [Accepted: 06/27/2023] [Indexed: 07/18/2023]
Abstract
Cell recognition methods are in high demand in cell biology and medicine, and the method based on atomic force microscopy (AFM) shows a great value in application. The difference in mechanical properties or morphology of cells has been frequently used to detect whether cells are cancerous, but this detection method cannot be a general means for cancer cell detection, and the traditional artificial feature extraction method also has its limitations. In this work, we proposed an analytic method based on the physical properties of cells and deep learning method for recognizing cell types. The residual neural network used for recognition was modified by multi-scale convolutional fusion, attention mechanism and depthwise separable convolution, so as to optimize feature extraction and reduce operation costs. In the method, the collected cells were imaged by AFM, and the processed images were analyzed by the optimized convolutional neural network. The recognition results of two groups of cells (HL-7702 and SMMC-7721, SGC-7901 and GES-1) by this method show that the recognition rate of dataset with the combination of cell surface morphology, adhesion and Young's modulus is higher, and the recognition rate of the dataset with optimal resolution is higher. Our study indicated that the recognition of physical properties of cells using deep learning technology can serve as a universal and effective method for the automated analysis of cell information.
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Affiliation(s)
- Junxi Wang
- International Research Centre for Nano Handling and Manufacturing of China, Changchun University of Science and Technology, Changchun 130022, China; Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, Changchun University of Science and Technology, Changchun 130022, China; Zhongshan Institute of Changchun University of Science and Technology, Zhongshan, China
| | - Mingyan Gao
- International Research Centre for Nano Handling and Manufacturing of China, Changchun University of Science and Technology, Changchun 130022, China; Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, Changchun University of Science and Technology, Changchun 130022, China; Zhongshan Institute of Changchun University of Science and Technology, Zhongshan, China
| | - Lixin Yang
- International Research Centre for Nano Handling and Manufacturing of China, Changchun University of Science and Technology, Changchun 130022, China; Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, Changchun University of Science and Technology, Changchun 130022, China
| | - Yuxi Huang
- International Research Centre for Nano Handling and Manufacturing of China, Changchun University of Science and Technology, Changchun 130022, China; Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, Changchun University of Science and Technology, Changchun 130022, China
| | - Jiahe Wang
- International Research Centre for Nano Handling and Manufacturing of China, Changchun University of Science and Technology, Changchun 130022, China; Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, Changchun University of Science and Technology, Changchun 130022, China
| | - Bowei Wang
- International Research Centre for Nano Handling and Manufacturing of China, Changchun University of Science and Technology, Changchun 130022, China; Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, Changchun University of Science and Technology, Changchun 130022, China; Zhongshan Institute of Changchun University of Science and Technology, Zhongshan, China
| | - Guicai Song
- College of Physics, Changchun University of Science and Technology, Changchun 130022, China.
| | - Zuobin Wang
- International Research Centre for Nano Handling and Manufacturing of China, Changchun University of Science and Technology, Changchun 130022, China; Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, Changchun University of Science and Technology, Changchun 130022, China; Zhongshan Institute of Changchun University of Science and Technology, Zhongshan, China; JR3CN & IRAC, University of Bedfordshire, Luton LU1 3JU, UK.
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