1. Murine Xenograft Models as Preclinical Tools in Endometrial Cancer Research.
- Author
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Yildiz, Merve, Romano, Andrea, and Xanthoulea, Sofia
- Subjects
BIOLOGICAL models ,TISSUES ,CELL physiology ,XENOGRAFTS ,ENDOMETRIAL tumors ,CELL lines ,METASTASIS ,MICE ,MEDICAL research ,ECTOPIC tissue ,INDIVIDUALIZED medicine ,MEDICAL needs assessment ,MEDICAL care costs - Abstract
Simple Summary: With both prevalence and mortality increasing, endometrial cancer (EC) is the most common gynecological cancer in high-income countries. Despite significant advances in EC research and management, there are still unmet needs. Patients suffering from advanced-stage and recurrent EC lack treatment options and have poor prognosis. Robust preclinical models are crucial in the development of novel therapies, and xenograft models have recently gained increasing interest in drug discovery and precision medicine. A clear overview of all developed EC mouse xenograft models is currently lacking. The aim of this review is to summarize these studies, reporting on their methodology and main findings. The different models are grouped based on the source material used to generate the xenografts, i.e., cell lines, patient-derived tumors, or patient-derived tumor organoids, and on the location of tumor formation, i.e., heterotopic or orthotopic. Finally, the advantages and disadvantages of the different tumor source material and xenograft locations, as well as some considerations on the translational potential, limitations, and future directions of EC xenograft models, are discussed. Murine xenograft models are valuable and increasingly used preclinical tools in cancer research to understand disease pathogenesis and guide treatment options. The aim of this narrative review is to summarize the studies that employed mouse xenograft models, using cell lines, patient-derived tumors, or organoids, in endometrial cancer (EC) research, detailing their methodology and main findings. We identified 27 articles reporting on heterotopic EC xenografts, including subcutaneous, subrenal capsule, intraperitoneal, and retro-orbital models, and 18 articles using orthotopic xenografts. Subcutaneous xenografts generated using either cell lines or patient tumors have been widely used; however, their low engraftment rates and the inability to recapitulate main clinical features such as metastases limit their translational value. Subrenal capsule models showed improved engraftment rates compared to subcutaneous models, but tumors exhibited slower and constrained tumor growth. Orthotopic models are technically more challenging to generate and monitor, but tumor growth occurs in a relevant microenvironment and EC ortho-xenografts exhibit high engraftment rates and metastases to clinically relevant sites. Cell line-based xenograft (CDX) models are attractive tools because they are convenient, easy to use, and amenable to genetic modifications, making them suitable for proof-of-concept approaches and large-scale studies. EC xenografts developed from patient tumors (PDTXs) are more labor/cost-intensive for their establishment but can capture the genetic and molecular heterogeneity within and across histologic subtypes and can inform personalized patient treatment. EC organoid-based xenograft (PDOX) models combine the advantages of both CDXs and PDTXs since they are more time- and cost-effective, faithfully maintain tumor characteristics and therapeutic responses, and can be genetically modified. Despite substantial progress in EC management, there are still several unmet needs. Efficient targeted treatments are currently indicated only for a small subgroup of patients, while women with recurrent or advanced-stage EC have very few therapeutic options and their prognosis remains unfavorable. Novel (targeted) drugs, combinational regimens and tools to predict the real drug response in patients are urgently needed. Xenograft models are expected to inform about disease mechanisms and to help identify novel therapeutic options and suitable target patients. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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