Data from A Genetic Platform to Model Sarcomagenesis from Primary Adult Mesenchymal Stem Cells

التفاصيل البيبلوغرافية
العنوان: Data from A Genetic Platform to Model Sarcomagenesis from Primary Adult Mesenchymal Stem Cells
المؤلفون: Pier Paolo Pandolfi, Andrea Lunardi, Carlos Cordon-Cardo, Mireia Castillo-Martin, Roderick T. Bronson, Rosa Bernardi, Paolo Sportoletti, Min Sup Song, Robin M. Hobbs, Guocan Wang, Takahiro Maeda, Riccardo Taulli, Luisa Riccardi, Jlenia Guarnerio
بيانات النشر: American Association for Cancer Research (AACR), 2023.
سنة النشر: 2023
الوصف: The regulatory factors governing adult mesenchymal stem cell (MSC) physiology and their tumorigenic potential are still largely unknown, which substantially delays the identification of effective therapeutic approaches for the treatment of aggressive and lethal forms of MSC-derived mesenchymal tumors, such as undifferentiated sarcomas. Here, we have developed a novel platform to screen and quickly identify genes and pathways responsible for adult MSC transformation, modeled undifferentiated sarcoma in vivo, and, ultimately, tested the efficacy of targeting the identified oncopathways. Importantly, by taking advantage of this new platform, we demonstrate the key role of an aberrant LRF–DLK1–SOX9 pathway in the pathogenesis of undifferentiated sarcoma, with important therapeutic implications.Significance: The paucity of therapeutic options for the treatment of sarcoma calls for a rapid and effective preclinical assessment of new therapeutic modalities. We have here developed a new platform to deconstruct the molecular genetics underlying the pathogenesis of sarcoma and to evaluatein vivo the efficacy of novel targeted therapies. Cancer Discov; 5(4); 396–409. ©2015 AACR.This article is highlighted in the In This Issue feature, p. 333
DOI: 10.1158/2159-8290.c.6546098.v1
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6a378339673b81120419100236a0816
https://doi.org/10.1158/2159-8290.c.6546098.v1
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....a6a378339673b81120419100236a0816
قاعدة البيانات: OpenAIRE
الوصف
DOI:10.1158/2159-8290.c.6546098.v1