Daniela Di Giacomo

Dr. Daniela Di Giacomo


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 March 2023 in Cancers
Verified
Journal Article
Open access
PDF file
AIAzzurra Irelli
Azzurra Irelli
SRSofia Chiatamone Ranieri
Sofia Chiatamone Ranieri
DGDaniela Di Giacomo
Daniela Di Giacomo
SMSara Malatesta
Sara Malatesta
LPLeonardo Valerio Patruno
Leonardo Valerio Patruno
KCKatia Cannita
Katia Cannita
Molecular tumor boards (MTBs) are multidisciplinary groups that combine molecular and clinical data from cancer patients in order to formulate treatment recommendations for precision medicine. To date, there is insufficient data to support the use of singleplex or next-generation sequencing (NGS) technologies to select first-line therapy for patients with metastatic breast cancer (MBC), but considering the high number of level II alterations, according to the ESMO scale for clinical actionability of molecular targets (ESCAT), it is suggested to include patients in molecular screening programs in order to be able to offer targeted therapies for specific genomic alterations. This article aims at reviewing the most recent literature related to the most used methodologies/approaches for molecular diagnostics and variants’ classification, summarizing the internationally published molecular screening studies in support of MTB activity and, in the end, discussing MTBs’ current position and role in Italy, the number of which is increasing, also thanks to the thrust of institutions.

22 March 2024 in Biomedicines
Verified
Journal Article
Open access
PDF file
AIAzzurra Irelli
Azzurra Irelli
LPLeonardo Valerio Patruno
Leonardo Valerio Patruno
SRSofia Chiatamone Ranieri
Sofia Chiatamone Ranieri
DGDaniela Di Giacomo
Daniela Di Giacomo
SMSara Malatesta
Sara Malatesta
KCKatia Cannita
Katia Cannita
Hereditary breast and ovarian cancer (HBOC) syndrome is responsible for approximately 10% of breast cancers (BCs). The HBOC gene panel includes both high-risk genes, i.e., a four times higher risk of BC (BRCA1, BRCA2, PALB2, CDH1, PTEN, STK11 and TP53), and moderate-risk genes, i.e., a two to four times higher risk of BC (BARD1, CHEK2, RAD51C, RAD51D and ATM). Pathogenic germline variants (PGVs) in HBOC genes confer an absolute risk of BC that changes according to the gene considered. We illustrate and compare different BC risk estimation models, also describing their limitations. These models allow us to identify women eligible for genetic testing and possibly to offer surgical strategies for primary prevention, i.e., risk-reducing mastectomies and salpingo-oophorectomies.