Federico Paolieri

Dr. Federico Paolieri

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Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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4 May 2022 in Cancers
Verified
Journal Article
Open access
PDF file
UBUmberto Basso
Umberto Basso
FPFederico Paolieri
Federico Paolieri
MRMimma Rizzo
Mimma Rizzo
UGUgo De Giorgi
Ugo De Giorgi
SBSergio Bracarda
Sergio Bracarda
Giampaolo TortoraGiampaolo Tortora
Giampaolo Tortora
This is a retrospective analysis on the safety and activity of compassionate Ipilimumab and Nivolumab (IPI-NIVO) administered to patients with metastatic Renal Cell Carcinoma (mRCC) with intermediate or poor International Metastatic RCC Database Consortium (IMDC) score as a first-line regimen. IPI was infused at 1 mg/kg in combination with Nivolumab 3 mg/kg every three weeks for four doses, followed by maintenance Nivolumab (240 or 480 mg flat dose every two or four weeks, respectively) until disease progression or unacceptable toxicity. A total of 324 patients started IPI-NIVO at 86 Italian centers. Median age was 62 years, 68.2% IMDC intermediate risk. Primary tumor had been removed in 65.1% of patients. Two hundred and twenty patients (67.9%) completed the four IPI-NIVO doses. Investigator-assessed overall response rate was 37.6% (2.8% complete). Twelve-month survival rate was 66.8%, median progression-free survival was 8.3 months. Grade 3 or 4 treatment-related adverse events occurred in 67 patients (26.9%). IMDC intermediate risk, nephrectomy, BMI ≥ 25 kg/m2, and steroid use for toxicities correlated with improved survival, while age < 70 years did not. IPI-NIVO combination is a feasible and effective regimen for the first-line treatment of intermediate-poor IMDC risk mRCC patients in routine clinical practice.

29 August 2021 in Genes
Verified
Journal Article
Open access
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LBLaura Boldrini
Laura Boldrini
PFPinuccia Faviana
Pinuccia Faviana
LGLuca Galli
Luca Galli
FPFederico Paolieri
Federico Paolieri
PEPaola Erba
Paola Erba
MBMassimo Bardi
Massimo Bardi
Prostate cancer (PC) is a polygenic disease with multiple gene interactions. Therefore, a detailed analysis of its epidemiology and evaluation of risk factors can help to identify more accurate predictors of aggressive disease. We used the transcriptome data from a cohort of 243 patients from the Cancer Genome Atlas (TCGA) database. Key regulatory genes involved in proliferation activity, in the regulation of stress, and in the regulation of inflammation processes of the tumor microenvironment were selected to test a priori multi-dimensional scaling (MDS) models and create a combined score to better predict the patients’ survival and disease-free intervals. Survival was positively correlated with cortisol expression and negatively with Mini-Chromosome Maintenance 7 (MCM7) and Breast-Related Cancer Antigen2 (BRCA2) expression. The disease-free interval was negatively related to the expression of enhancer of zeste homolog 2 (EZH2), MCM7, BRCA2, and programmed cell death 1 ligand 1 (PD-L1). MDS suggested two separate pathways of activation in PC. Within these two dimensions three separate clusters emerged: (1) cortisol and brain-derived neurotrophic factor BDNF, (2) PD-L1 and cytotoxic-T-lymphocyte-associated protein 4 (CTL4); (3) and finally EZH2, MCM7, BRCA2, and c-Myc. We entered the three clusters of association shown in the MDS in several Kaplan–Meier analyses. It was found that only Cluster 3 was significantly related to the interval-disease free, indicating that patients with an overall higher activity of regulatory genes of proliferation and DNA repair had a lower probability to have a longer disease-free time. In conclusion, our data study provided initial evidence that selecting patients with a high grade of proliferation and DNA repair activity could lead to an early identification of an aggressive PC with a potentials for metastatic development.

2 June 2024 in Cells
Verified
Journal Article
Open access
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FBFrancesco Bloise
Francesco Bloise
FMFiorella Manfredi
Fiorella Manfredi
LZLuca Zatteri
Luca Zatteri
GDGiovanni Dima
Giovanni Dima
CCChiara Carli
Chiara Carli
FPFederico Paolieri
Federico Paolieri
The treatment landscape for metastatic renal cell carcinoma (mRCC) has undergone significant transformations in recent years. The introduction of novel combination therapies involving tyrosine kinase inhibitors (TKI) and immune checkpoint inhibitors has resulted in improved oncological outcomes compared to traditional TKI monotherapy. In this evolving paradigm, the pivotal role of the multidisciplinary tumor board is underscored, particularly in shaping the therapeutic trajectory for patients eligible for locoregional interventions like cytoreductive nephrectomy and metastasectomy. In cases where systemic treatment is deemed appropriate, the absence of direct comparisons among the various combination therapies complicates the selection of a first-line approach. The clinician is faced with the challenge of making decisions based on patient-specific factors such as performance status, risk classification according to the International Metastatic Renal Cell Carcinoma Database Consortium, comorbidities, and disease characteristics, including the number and location of metastases and tumor histology. Considering these concerns, we propose, as a member of a Tuscany Interdisciplinary Uro-Oncologic Group, an algorithm to streamline the decision-making process for mRCC patients, offering guidance to clinicians in their day-to-day clinical practice.

2 June 2022 in Vaccines
Verified
Journal Article
Open access
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ANAmedeo Nuzzo
Amedeo Nuzzo
SMSimona Manacorda
Simona Manacorda
ESEnrico Sammarco
Enrico Sammarco
ASAndrea Sbrana
Andrea Sbrana
SBSerena Bazzurri
Serena Bazzurri
Gianluca MasiGianluca Masi
Gianluca Masi
Background: Severe acute respiratory syndrome coronavirus 2 disease (COVID-19) has caused a worldwide challenging and threatening pandemic. Multinational, placebo-controlled, observer-blinded trials were conducted since the beginning of pandemic because safe and effective vaccines were needed urgently. In most trials of COVID-19 vaccines patients affected by malignancies or on treatment with immunosuppressive drugs were excluded. Patients and methods: A retrospective monocentric study was conducted at Medical Oncological Unit of Santa Chiara Hospital (Pisa, Italy) in this subset of population to investigate safety and tolerability of COVID-19 vaccines; 377 patients with solid tumor on treatment were enrolled. Vaccine-related adverse events were recorded using a face-to-face questionnaire including a toxicity grading scale. Most of the patients (94%) received mRNA vaccine as indicated by Italian health ministry guidelines. Mean age was 66 years (range 27–87), 62% of the patients were older than 65 years and 68% had at least one additional comorbidity. The majority (86%) of patients were in a metastatic setting and 29% received immunotherapy-based treatment. For statistical analysis, multivariate binary logistic regression models were performed and linear regression models were applied. Results: Adverse events were mild and transient and ended in a few days without any sequelae. No severe or uncommon adverse events were recorded. In multivariate analysis, we found that the female sex was associated with a greater risk of more severe and longer lasting adverse events, and a higher risk of adverse events was found for patients treated with immunotherapy. Conclusions: Our results demonstrate that COVID-19 vaccines were safe and well-tolerated in this population of patients being treated for solid tumors.