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International Journal of Cancer|March 29, 2002
Identification of BRCA1 and BRCA2 carriers by allele-specific gene expression (AGE) analysisMarco Montagna, Simona Agata, Arcangela De Nicolo, et al.
Human Molecular Genetics|April 18, 2003
Genomic rearrangements account for more than one-third of the BRCA1 mutations in northern Italian breast/ovarian cancer familiesMarco Montagna, Maurizia Dalla Palma, Chiara Menin, et al.
Frontiers in Oncology|December 31, 2020
Synchronous and Metachronous Breast and Ovarian Cancer: Experience From Two Large Cancer CenterGiulia Tasca, Maria Vittoria Dieci, Zora Baretta, et al.
Plos One|September 11, 2012
The role of genetic variants of Stromal cell-Derived Factor 1 in pediatric HIV-1 infection and disease progressionKetty Gianesin, Riccardo Freguja, Francesco Carmona, et al.
Frontiers in Surgery|July 22, 2024
Needle size for thyroid fine needle aspiration cytology. A single institution experiencePasquale Cianci, Rocco Tumolo, Ivana Conversano, et al.
Clinics and Practice|November 26, 2025
Advancing Toward P6 Medicine: Recommendations for Integrating Artificial Intelligence in Internal MedicineIsmael Said-Criado, Filomena Pietrantonio, Marco Montagna, et al.
Cancer Letters|July 16, 2011
DNA copy number profile discriminates between esophageal adenocarcinoma and squamous cell carcinoma and represents an independent prognostic parameter in esophageal adenocarcinomaEnrica Rumiato, Giulia Pasello, Marco Montagna, et al.
International Journal of Oncology|April 6, 2005
Differential sensitivity of BRCA1-mutated HCC1937 human breast cancer cells to microtubule-interfering agentsPierfrancesco Tassone, Simona Blotta, Camillo Palmieri, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|September 30, 2008
DNA copy number alterations correlate with survival of esophageal adenocarcinoma patientsGiulia Pasello, Simona Agata, Laura Bonaldi, et al.
Journal of Medical Internet Research|May 1, 2023
Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative StudyJing Han, Marco Montagna, Andreas Grammenos, et al.
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