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Breast cancer metastasis: Is it a matter of OMICS and proper ex-vivo models?
Cioce, Mario; Sacconi, Andrea; Donzelli, Sara; Bonomo, Claudia; Perracchio, Letizia; Carosi, Mariantonia; Telera, Stefano; Fazio, Vito Michele; Botti, Claudio; Strano, Sabrina; Blandino, Giovanni.
Afiliación
  • Cioce M; Laboratory of Molecular Medicine and Biotechnology, University Campus Bio-Medico of Rome, Rome, Italy.
  • Sacconi A; Institute of Translational Pharmacology, National Research Council of Italy (CNR), Rome, Italy.
  • Donzelli S; Clinical Trial Center, Biostatistics and Bioinformatics Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • Bonomo C; Translational Oncology Research Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • Perracchio L; Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • Carosi M; Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • Telera S; Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • Fazio VM; Neurosurgery Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • Botti C; Laboratory of Molecular Medicine and Biotechnology, University Campus Bio-Medico of Rome, Rome, Italy.
  • Strano S; Institute of Translational Pharmacology, National Research Council of Italy (CNR), Rome, Italy.
  • Blandino G; Laboratory of Oncology, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy.
Comput Struct Biotechnol J ; 20: 4003-4008, 2022.
Article en En | MEDLINE | ID: mdl-35983233
ABSTRACT
Genomics has greatly increased the understanding of the study of breast cancer (BC) and has shaped the concept of intra-tumor heterogeneity, currently recognized as a propelling force for cancer progression. In this context, knowledge and understanding of metastatic breast cancer (mBC) has somehow lagged behind that of primary breast cancer. This may be explained by the relative scarcity of matched mBC samples, however it is possible that the mutation spectrum obtained from primary BC does not capture the full complexity of the metastatic disease. Here, we provide a few examples supporting this possibility, from public databases. We evoke the need to perform an integrated multi-OMICS characterization of mBC, to obtain a broad understanding of this complex disease, whose evolution cannot be explained solely by genomics. Pertinent to this, we suggest that rather an infrequent use of Patient-Derived -Tumor-Organoids (PDTOs) may be influenced by assuming that the metastatic conditions of PDTOs growth (mPDTOs) should be similar to those of the tissue of origin. We challenge this view by suggesting that the use of "target-organ inspired" growth conditions for mPDTOs, may better fit the emerging knowledge of metastatic disease. Thus, the integrated use of multi-OMICS and of clinically relevant mPDTOs may allow a further understanding of such disease and foster therapeutically relevant advances. We believe that our points may be valid for other solid cancers.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Comput Struct Biotechnol J Año: 2022 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Comput Struct Biotechnol J Año: 2022 Tipo del documento: Article País de afiliación: Italia