Patient-derived renal cell carcinoma organoids for precision medicine

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The paper studied whether patient-derived renal cell carcinoma (RCC) tumor organoids can serve as representative preclinical models for precision medicine. Using clinical RCC tissue, the authors generated three-dimensional organoids and characterized them with H&E staining, immunohistochemistry, and whole-exome sequencing, including organoids derived from patients treated with different drugs to assess drug responses. The organoids recapitulated key histological features and transcriptional profiles of the parent tumors and showed differential responses to sunitinib, pazopanib, cabozantinib, lenvatinib plus everolimus, and MK6482 plus sunitinib. A major stated caveat is that this work is a preprint that has not been peer reviewed. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract Background: Renal cell carcinoma (RCC) is one of the most common diseases with limited treatment options. A better understanding of this disease and treatment has been hindered by a lack of representative preclinical models. Methods: We established tumor organoids, three-dimensional cultures from clinical RCC samples. RCC organoids were characterized by H&E staining, immunohistochemical staining and whole-exome sequencing. Organoids were derived from patients treated with different drugs to test their responses to the drugs. Results: H&E staining, immunohistochemical staining and whole-exome sequencing revealed that RCC organoids recapitulated the histological feature and transcriptional profile of the parent tumor. Using the RCC organoid model, we found that RCC organoids exhibited differential responses to sunitinib, pazopanib, Cabozantinib, Lenvatinib + Everolimus, and MK6482 + Sunitinib treatment. Conclusions: Our research suggests that organoids may become a favorable model for precise drug use in RCC.
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Patient-derived renal cell carcinoma organoids for precision medicine | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Patient-derived renal cell carcinoma organoids for precision medicine Xiaoxiao Wu, Meiyou Liu, Wanxiang Zheng, Fan Wang, Li Peng, Lianghua Cheng, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4785533/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background: Renal cell carcinoma (RCC) is one of the most common diseases with limited treatment options. A better understanding of this disease and treatment has been hindered by a lack of representative preclinical models. Methods: We established tumor organoids, three-dimensional cultures from clinical RCC samples. RCC organoids were characterized by H&E staining, immunohistochemical staining and whole-exome sequencing. Organoids were derived from patients treated with different drugs to test their responses to the drugs. Results: H&E staining, immunohistochemical staining and whole-exome sequencing revealed that RCC organoids recapitulated the histological feature and transcriptional profile of the parent tumor. Using the RCC organoid model, we found that RCC organoids exhibited differential responses to sunitinib, pazopanib, Cabozantinib, Lenvatinib + Everolimus, and MK6482 + Sunitinib treatment. Conclusions: Our research suggests that organoids may become a favorable model for precise drug use in RCC. renal cell carcinoma tumor organoid whole‑exome sequencing precision medicine Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Full Text Additional Declarations No competing interests reported. Tables are available in the Supplementary Files section. Supplementary Files Table1.docx Table2.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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