Porru Manuela, Zizza Pasquale, Panera Nadia, Alisi Anna, Biroccio Annamaria, Leonetti Carlo
UOSD SAFU, Department of Research, Advanced Diagnostic, and Technological Innovation, IRCSS-Regina Elena National Cancer Institute, 00144 Rome, Italy.
UOSD Oncogenomic and Epigenetic Unit, Department of Research, Advanced Diagnostic, and Technological Innovation, IRCSS-Regina Elena National Cancer Institute, 00144 Rome, Italy.
Cancers (Basel). 2020 Jul 8;12(7):1830. doi: 10.3390/cancers12071830.
Metastatic colorectal cancer (mCRC) remains challenging because of the emergence of resistance mechanisms to anti-epidermal growth factor receptor (EGFR) therapeutics, so more effective strategies to improve the patients' outcome are needed. During the last decade, the application of a multi-omics approach has contributed to a deeper understanding of the complex molecular landscape of human CRC, identifying a plethora of drug targets for precision medicine. Target validation relies on the use of experimental models that would retain the molecular and clinical features of human colorectal cancer, thus mirroring the clinical characteristics of patients. In particular, organoids and patient-derived-xenografts (PDXs), as well as genetically engineered mouse models (GEMMs) and patient-derived orthotopic xenografts (PDOXs), should be considered for translational purposes. Overall, omics and advanced mouse models of cancer represent a portfolio of sophisticated biological tools that, if optimized for use in concert with accurate data analysis, could accelerate the anticancer discovery process and provide new weapons against cancer. In this review, we highlight success reached following the integration of omics and experimental models; moreover, results produced by our group in the field of mCRC are also presented.
转移性结直肠癌(mCRC)仍然具有挑战性,因为针对抗表皮生长因子受体(EGFR)疗法出现了耐药机制,因此需要更有效的策略来改善患者的预后。在过去十年中,多组学方法的应用有助于更深入地了解人类结直肠癌复杂的分子格局,为精准医学确定了大量药物靶点。靶点验证依赖于使用能够保留人类结直肠癌分子和临床特征的实验模型,从而反映患者的临床特征。特别是,类器官和患者来源的异种移植(PDX),以及基因工程小鼠模型(GEMM)和患者来源的原位异种移植(PDOX),应出于转化目的加以考虑。总体而言,癌症的组学和先进小鼠模型代表了一系列复杂的生物学工具,如果与准确的数据分析协同优化使用,可加速抗癌发现进程,并提供对抗癌症的新武器。在本综述中,我们强调了组学与实验模型整合后取得的成功;此外,还展示了我们团队在mCRC领域取得的成果。