Selenica, Pier

Loss of the FAT1 Tumor Suppressor Promotes Resistance to CDK4/6 Inhibitors via the Hippo Pathway

Li, Z., Razavi, P., Li, Q., Toy, W., Liu, B., Ping, C., Hsieh, W., Sanchez-Vega, F., Brown, D. N., Da Cruz Paula, A. F., et al. (2018) · Cancer Cell

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Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer

Boehm, K. M., Aherne, E. A., Ellenson, L., Nikolovski, I., Alghamdi, M., Vázquez-García, I., Zamarin, D., Long Roche, K., Liu, Y., Patel, D., et al. (2022) · Nature Cancer

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FOXA1 mutations reveal distinct chromatin profiles and influence therapeutic response in breast cancer

Arruabarrena-Aristorena, A., Maag, J. L. V., Kittane, S., Cai, Y., Karthaus, W. R., Ladewig, E., Park, J., Kannan, S., Ferrando, L., Cocco, E., et al. (2020) · Cancer Cell

Estrogen and related hormone effectsChromatin Remodeling and Cancer

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The landscape of somatic genetic alterations in breast cancers from ATM germline mutation carriers

Weigelt, B., Bi, R., Kumar, R., Blecua, P., Mandelker, D. L., Geyer, F. C., Pareja, F., James, P. A., kConFab Investigators, Couch, F. J., et al. (2018) · JNCI: Journal of the National Cancer Institute

BRCA gene mutations in cancerCancer Genomics and Diagnostics

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Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study

Lavinia Loeffler, C. M., El Nahhas, O. S. M., Muti, H. S., Seibel, T., Cifci, D., Treeck, M. V., Gustav, M., Carrero, Z. I., Gaisa, N. T., Lehmann, K.-V., et al. (2023) · medRxiv

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

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