National Collaborations

IRCCS Fondazione Salvatore Maugeri, Milano

Most relevant recent bibliography

Cava C, Bertoli G, Castiglioni I. In Silico Discovery of Candidate Drugs against Covid-19. Viruses. 2020;12(4):E404. Published 2020 Apr 6. doi:10.3390/v12040404

Colaprico A, Olsen C, Bailey MH, et al. Interpreting pathways to discover cancer driver genes with Moonlight. Nat Commun. 2020;11(1):69. Published 2020 Jan 3. doi:10.1038/s41467-019-13803-0

Cava C, Novello C, Martelli C, Lodico A, Ottobrini L, Piccotti F, Truffi M, Corsi F, Bertoli G, Castiglioni I. Theranostics application of miR-429 in HER2+ breast cancer. Theranostics 2020; 10(1): 50-61. doi:10.7150/thno.36274

Cantini L, Bertoli G, Cava C, Dubois T, Zinovyev A, Caselle M, Castiglioni I,  Barillot E, Martignetti L. Identification of microRNA clusters cooperatively acting on epithelial to mesenchymal transition in triple negative breast cancer.  Nucleic Acids Res. 2019 Jan 18. doi: 10.1093/nar/gkz016

Cava C, Bertoli G, Castiglioni I. In silico identification of drug target pathways in breast cancer subtypes using pathway cross-talk inhibition. J Transl  Med. 2018 Jun 5;16(1):154. doi: 10.1186/s12967-018-1535-2

Cava C, Bertoli G, Colaprico A, Olsen C, Bontempi G, Castiglioni I. Integration of multiple networks and pathways identifies cancer driver genes in pan-cancer analysis. BMC Genomics. 2018 Jan 6;19(1):25. doi: 10.1186/s12864-017-4423-x

Cava C, Colaprico A, Bertoli G, Bontempi G, Mauri G, Castiglioni I. How interacting pathways are regulated by miRNAs in breast cancer subtypes. BMC Bioinformatics. 2016 Nov 8;17(Suppl 12):348. doi: 10.1186/s12859-016-1196-1

Cava C,  Colaprico A, Bertoli, G, Graudenzi A,  Silva TC, Olsen, C, Noushmehr H, Bontempi G, Mauri G, Castiglioni I. SpidermiR: An R/Bioconductor Package for Integrative Analysis with miRNA Data. Int. J. Mol. Sci. 2017, 18, 274

Colaprico A, Silva TC, Olsen C, Garofano L, Cava C, Garolini D, Sabedot TS, Malta TM, Pagnotta SM, Castiglioni I, Ceccarelli M, Bontempi G, Noushmehr H. TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data. Nucleic Acids Res. 2016 May 5;44(8):e71

Cava C, Bertoli G, Ripamonti M, Mauri G, Zoppis I, Della Rosa PA, Gilardi MC, Castiglioni I. Integration of mRNA expression profile, copy number alterations, and microRNA espression levels in breast cancer to improve grade definition. Plos One. 2014; 9(5), e97681