Author Page for Maria Vittoria Dieci

Expanding Lynch Syndrome Spectrum: The Role of Non-Colorectal/Endometrial Malignancies and Implications for Universal Tumor Screening

Number of pages: 40 Posted: 27 Jan 2025

University of Padua, University of Padua, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) - IRCCS Veneto Institute of Oncology (IOV-IRCCS), Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) - IRCCS Veneto Institute of Oncology (IOV-IRCCS), Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) - IRCCS Veneto Institute of Oncology (IOV-IRCCS), University of Padua, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) - IRCCS Veneto Institute of Oncology (IOV-IRCCS), Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) - IRCCS Veneto Institute of Oncology (IOV-IRCCS), University of Padua, University of Padua, University of Padua - School of Medicine, University of Padua - Azienda Ospedale Padova, University of Padua, University of Verona, University of Verona, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) - IRCCS Veneto Institute of Oncology (IOV-IRCCS), Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) - IRCCS Veneto Institute of Oncology (IOV-IRCCS), Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) - IRCCS Veneto Institute of Oncology (IOV-IRCCS), affiliation not provided to SSRN, Università di Padova - Dipartimento di Scienze Chirurgiche, ULSS6 Euganea, Azienda Ulss 8 Berica, AULSS1 Dolomiti, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) - Medical Oncology 1, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) - Medical Oncology 1 and University of Padua

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Abstract:

2.

Effectiveness comparison of first-line CDK4/6 inhibitors in patients with hormone-positive HER2-negative according to tumor histology: a sub-analysis of the real-world, multicenter, Italian study PALMARES-2

Number of pages: 34 Posted: 12 Sep 2025

Fondazione IRCCS Istituto Nazionale dei Tumori, Fondazione IRCCS Istituto Nazionale dei Tumori, Università di Padova - Dipartimento di Scienze Chirurgiche, European Institute of Oncology (IEO) IRCCS - Division of New Drugs and Early Drug Development for Innovative Therapies, Baylor College of Medicine, Sapienza University of Rome, University of Genova - Department of Internal Medicine and Medical Specialties (DiMI), Fondazione IRCCS Policlinico San Matteo, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, ASST Papa Giovanni XXIII, affiliation not provided to SSRN, Università Vita-Salute San Raffaele - IRCCS Ospedale San Raffaele, Azienda Socio Sanitaria Territoriale Lariana, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Fondazione IRCCS Istituto Nazionale dei Tumori, Fondazione IRCCS Istituto Nazionale dei Tumori, Fondazione IRCCS Istituto Nazionale dei Tumori and Fondazione IRCCS Istituto Nazionale dei Tumori

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Abstract:

3.

Development of a machine learning model to guide further metastatic biopsy decision in patients with HER2-0 status on both primary breast cancer and first biopsied metastatic site: who should undergo a repeated biopsy to detect HER2-low gain?

Downloads 32 (1,318,317)

2

Development of a machine learning model to guide further metastatic biopsy decision in patients with HER2-0 status on both primary breast cancer and first biopsied metastatic site: who should undergo a repeated biopsy to detect HER2-low gain?

Number of pages: 17 Posted: 12 Jan 2026

affiliation not provided to SSRN, affiliation not provided to SSRN, Fondazione IRCCS Istituto Nazionale dei Tumori, affiliation not provided to SSRN, affiliation not provided to SSRN, London School of Hygiene & Tropical Medicine - Cancer Survival Group, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Sapienza University of Rome, Fondazione IRCCS Istituto Nazionale dei Tumori, affiliation not provided to SSRN, Fondazione IRCCS Istituto Nazionale dei Tumori, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Fondazione IRCCS Istituto Nazionale dei Tumori, affiliation not provided to SSRN, University of Padua - Department of Medicine, Università di Padova - Dipartimento di Scienze Chirurgiche and affiliation not provided to SSRN

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Abstract:

Development of a machine learning model to guide further metastatic biopsy decision in patients with HER2-0 status on both primary breast cancer and first biopsied metastatic site: who should undergo a repeated biopsy to detect HER2-low gain?

Number of pages: 17 Posted: 14 Jan 2026

affiliation not provided to SSRN, affiliation not provided to SSRN, Fondazione IRCCS Istituto Nazionale dei Tumori, affiliation not provided to SSRN, affiliation not provided to SSRN, London School of Hygiene & Tropical Medicine - Cancer Survival Group, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Sapienza University of Rome, Fondazione IRCCS Istituto Nazionale dei Tumori, affiliation not provided to SSRN, Fondazione IRCCS Istituto Nazionale dei Tumori, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Fondazione IRCCS Istituto Nazionale dei Tumori, affiliation not provided to SSRN, University of Padua - Department of Medicine, Università di Padova - Dipartimento di Scienze Chirurgiche and affiliation not provided to SSRN

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Maria Vittoria Dieci

Università di Padova - Dipartimento di Scienze Chirurgiche

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Scholarly Papers (3)

Expanding Lynch Syndrome Spectrum: The Role of Non-Colorectal/Endometrial Malignancies and Implications for Universal Tumor Screening

Abstract:

Effectiveness comparison of first-line CDK4/6 inhibitors in patients with hormone-positive HER2-negative according to tumor histology: a sub-analysis of the real-world, multicenter, Italian study PALMARES-2

Abstract:

Development of a machine learning model to guide further metastatic biopsy decision in patients with HER2-0 status on both primary breast cancer and first biopsied metastatic site: who should undergo a repeated biopsy to detect HER2-low gain?

Development of a machine learning model to guide further metastatic biopsy decision in patients with HER2-0 status on both primary breast cancer and first biopsied metastatic site: who should undergo a repeated biopsy to detect HER2-low gain?

Abstract:

Development of a machine learning model to guide further metastatic biopsy decision in patients with HER2-0 status on both primary breast cancer and first biopsied metastatic site: who should undergo a repeated biopsy to detect HER2-low gain?

Abstract: