Browsing by Author "Piva, Francesco"

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    Emerging immunotherapeutic strategies targeting telomerases in genitourinary tumors
    (Elsevier, 2018) Carrozza, Francesco; Santoni, Matteo; Piva, Francesco; Cheng, Liang; Lopez-Beltran, Antonio; Scarpelli, Marina; Montironi, Rodolfo; Battelli, Nicola; Tamberi, Stefano; Pathology and Laboratory Medicine, School of Medicine
    Telomerase activity and telomere length are essential for the pathogenesis of several human diseases, including genitourinary tumors. Telomerase constitutes a complex system that includes human telomerase reverse transcriptase (hTERT), human telomerase RNA component (hTR) and telomerase associated protein 1 (TEP1), which are overexpressed in tumor cells compared to normal cells and are involved in the carcinogenesis and progression of renal cell carcinoma (RCC), bladder (BC) and prostate cancer (PCa). In addition, telomerase degraded peptide fragments expressed on the surface of tumor cells lead to their recognition by immune cells. On this scenario, in vitro and in vivo studies have shown effective anti-tumor activity of hTERT-tailored strategies in genitourinary tumors, including active immunotherapy with hTERT-peptide vaccines and passive immunotherapy with hTERT-transduced T cell infusion. This review emphasizes the role of telomerase in the carcinogenesis and progression of genitourinary tumors, thus underlying the potential of emerging telomerase-tailored immunotherapies in these patients.
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    Exploring Small Extracellular Vesicles for Precision Medicine in Prostate Cancer
    (Frontiers Media, 2018-06-13) Giulietti, Matteo; Santoni, Matteo; Cimadamore, Alessia; Carrozza, Francesco; Piva, Francesco; Cheng, Liang; Lopez-Beltran, Antonio; Scarpelli, Marina; Battelli, Nicola; Montironi, Rodolfo; Pathology and Laboratory Medicine, School of Medicine
    Tumor microenvironment constitutes a complex network in which tumor cells communicate among them and with stromal and immune cells. It has been shown that cancer cells are able to exchange genetic materials through small extracellular vesicles (EVs), a heterogeneous group of vesicles with different size and shape, cargo content, and function. The importance to investigate populations of circulating EVs would be of great importance as prostate cancer (PCa) biomarkers. In several neoplasms as well as in PCa, nanometer-sized EVs of endosomal origin are implicated in supporting tumor growth and metastatic spread by both altering local stroma cells and creating a protumor environment that favors the formation of pre-metastatic niches. Several techniques are applicable for the isolation and analysis of PCa-derived small EVs and are illustrated in this article. Due to the high sensitivity and specificity of these techniques, small EVs have become ideal candidates for early diagnosis. Moreover, we discuss the role of small EVs during PCa carcinogenesis, as well as in modulating the development of drug resistance to hormonal therapy and chemotherapy, thus underlining the potential of EV-tailored strategies in PCa patients.
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    Key Role of Obesity in Genitourinary Tumors with Emphasis on Urothelial and Prostate Cancers
    (MDPI, 2019-08-22) Santoni, Matteo; Cimadamore, Alessia; Massari, Francesco; Piva, Francesco; Aurilio, Gaetano; Martignetti, Angelo; Scarpelli, Marina; Di Nunno, Vincenzo; Gatto, Lidia; Battelli, Nicola; Cheng, Liang; Lopez-Beltran, Antonio; Montironi, Rodolfo; Pathology and Laboratory Medicine, School of Medicine
    Background: In human populations, a certain amount of data correlate obesity/body mass index (BMI) with urothelial cancer (UC) and prostate cancer (PCa) occurrence, however this is not fully elucidated at all stages of disease. In an attempt to shed light on uncertain areas in such field, in the present review we illustrate the main molecular mechanisms linking obesity and cancer, focusing on the correlation between obesity and tumor risk, disease progression and response to chemo- and immunotherapy in patients with UC and the predictive/prognostic role of obesity in PCa patients treated with the currently available therapeutic approaches. Methods: We did a large-scale literature search on existing scientific websites focusing on keywords "obesity", "body mass index (BMI)", "urothelial cancer", "prostate cancer", "docetaxel", "cabazitaxel", "abiraterone acetate", "enzalutamide", and "radium223". Results: Many adipocytes-induced molecules support tumor proliferation through activation of various cellular pathways. The available evidence in the postoperative setting do the role of BMI in oncological outcomes prediction still not completely clear. Likewise, in metastatic UC patients controversial results link the role of obesity/BMI with clinical outcomes of tumor response to chemotherapy. Adipose stromal cells recruitment, induced by PCa cells, from white adipose tissue to the tumor sites inducing cell invasiveness was associated with poor survival. Conflicting data, although more oriented towards a better survival outcome, resulted in obese patients treated with docetaxel. In PCa cell-lines a certain cabazitaxel chemo resistance adipose stromal cells (ASC)-mediated was demonstrated. In metastatic castration-resistant PCa patients with high BMI (>25 kg/m2) receiving abiraterone acetate there were significant worse survival outcomes, while in enzalutamide patients BMI did not affect survival outcome. In radium 223 patients higher BMI significantly correlated with favorable overall survival. Conclusions: The main focus of this review was to understand the interplay between obesity/BMI and UC/PCa. Several pathogenic cellular pathways exploring the issue are discussed, opening the way to challenging tailored treatments on the basis of BMI. Improving the knowledge of molecular connections between obesity and UC and PCa could favor the development of new therapies likely reducing chemo- and immunotherapy drug resistance.
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    Predicting future cancer burden in the United States by artificial neural networks
    (Taylor & Francis, 2021) Piva, Francesco; Tartari, Francesca; Giulietti, Matteo; Aiello, Marco Maria; Cheng, Liang; Lopez-Beltran, Antonio; Mazzucchelli, Roberta; Cimadamore, Alessia; Cerqueti, Roy; Battelli, Nicola; Montironi, Rodolfo; Santoni, Matteo; Pathology and Laboratory Medicine, School of Medicine
    Aims: To capture the complex relationships between risk factors and cancer incidences in the US and predict future cancer burden. Materials & methods: Two artificial neural network (ANN) algorithms were adopted: a multilayer feed-forward network (MLFFNN) and a nonlinear autoregressive network with eXogenous inputs (NARX). Data on the incidence of the four most common tumors (breast, colorectal, lung and prostate) from 1992 to 2016 (available from National Cancer Institute online datasets) were used for training and validation, and data until 2050 were predicted. Results: The rapid decreasing trend of prostate cancer incidence started in 2010 will continue until 2018-2019; it will then slow down and reach a plateau after 2050, with several differences among ethnicities. The incidence of breast cancer will reach a plateau in 2030, whereas colorectal cancer incidence will reach a minimum value of 35 per 100,000 in 2030. As for lung cancer, the incidence will decrease from 50 per 100,000 (2017) to 31 per 100,000 in 2030 and 26 per 100,000 in 2050. Conclusion: This up-to-date prediction of cancer burden in the US could be a crucial resource for planning and evaluation of cancer-control programs.
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    Real-World Data on Cabozantinib in Previously Treated Patients with Metastatic Renal Cell Carcinoma: Focus on Sequences and Prognostic Factor
    (MDPI, 2019) Santoni, Matteo; Heng, Daniel Y.; Bracarda, Sergio; Procopio, Giuseppe; Milella, Michele; Porta, Camillo; Matrana, Marc R.; Cartenì, Giacomo; Crabb, Simon J.; De Giorgi, Ugo; Basso, Umberto; Masini, Cristina; Calabrò, Fabio; Vitale, Maria Giuseppa; Santini, Daniele; Massari, Francesco; Galli, Luca; Fornarini, Giuseppe; Ricotta, Riccardo; Buti, Sebastiano; Zucali, Paolo; Caffo, Orazio; Morelli, Franco; Carrozza, Francesco; Martignetti, Angelo; Gelibter, Alain; Iacovelli, Roberto; Mosca, Alessandra; Atzori, Francesco; Vau, Nuno; Incorvaia, Lorena; Ortega, Cinzia; Scarpelli, Marina; Lopez-Beltran, Antonio; Cheng, Liang; Paolucci, Vittorio; Graham, Jeffrey; Pierce, Erin; Scagliarini, Sarah; Sepe, Pierangela; Verzoni, Elena; Merler, Sara; Rizzo, Mimma; Sorgentoni, Giulia; Conti, Alessandro; Piva, Francesco; Cimadamore, Alessia; Montironi, Rodolfo; Battelli, Nicola; Pathology and Laboratory Medicine, School of Medicine
    Cabozantinib is approved for the treatment of renal cell carcinoma (RCC). However, prognostic factors are still lacking in this context. The aim of this study was to evaluate prognostic factors in RCC patients treated with second- or third-line cabozantinib. A multicenter retrospective real-world study was conducted, involving 32 worldwide centers. A total of 237 patients with histologically confirmed clear-cell and non-clear-cell RCC who received cabozantinib as second- or third-line therapy for metastatic disease were included. We analyzed overall survival (OS), progression-free survival (PFS) and time-to-strategy failure (TTSF) using Kaplan-Meier curves. Cox proportional models were used at univariate and multivariate analyses.The median PFS and OS of cabozantinib were 7.76 months (95% CI 6.51-10.88) and 11.57 months (95% CI 10.90-not reached (NR)) as second-line and 11.38 months (95% CI 5.79-NR) and NR (95% CI 11.51-NR) as third-line therapy. The median TTSF and OS were 11.57 and 15.52 months with the sequence of cabozantinib-nivolumab and 25.64 months and NR with nivolumab-cabozantinib, respectively. The difference between these two sequences was statistically significant only in good-risk patients. In the second-line setting, hemoglobin (Hb) levels (HR= 2.39; 95% CI 1.24-4.60, p = 0.009) and IMDC (International Metastatic Renal Cell Carcinoma Database Consortium) group (HR = 1.72, 95% CI 1.04-2.87, p = 0.037) were associated with PFS while ECOG-PS (HR = 2.33; 95%CI, 1.16-4.69, p = 0.018) and Hb levels (HR = 3.12; 95%CI 1.18-8.26, p = 0.023) correlated with OS at multivariate analysis, while in the third-line setting, only Hb levels (HR = 2.72; 95%CI 1.04-7.09, p = 0.042) were associated with OS. Results are limited by the retrospective nature of the study.This real-world study provides evidence on the presence of prognostic factors in RCC patients receiving cabozantinib.
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    The Role of Obesity in Renal Cell Carcinoma Patients: Clinical-Pathological Implications
    (MDPI, 2019-11-13) Aurilio, Gaetano; Piva, Francesco; Santoni, Matteo; Cimadamore, Alessia; Sorgentoni, Giulia; Lopez-Beltran, Antonio; Cheng, Liang; Battelli, Nicola; Nolè, Franco; Montironi, Rodolfo; Pathology and Laboratory Medicine, School of Medicine
    Obesity is a well-known risk factor for renal cell carcinoma (RCC) development. However, the RCC–obesity link has not been fully addressed when considering a comprehensive scenario starting from pathogenetic aspects through pathological issues up to the outcome of medical treatment. We therefore conducted an electronic PubMed search using keywords “obesity”, “body mass index”, “overweight”, “renal cell carcinoma/kidney cancer”, “medical treatment”, “targeted therapy”, and “immunotherapy/immune checkpoint inhibitors”. The selected data supported a crosstalk between adipose tissue (adipocytes and other white adipose tissue cells) and cancer cells inducing several signaling pathways that finally stimulated angiogenesis, survival, and cellular proliferation. Accurate sampling of renal sinus fat correlated with a prognostic value. Retrospective clinical evidence in metastatic RCC patients with higher body mass index (BMI) and treated with targeted therapies and/or immune checkpoint inhibitors showed advantageous survival outcomes. Therefore, obesity may influence the course of RCC patients, although the interplay between obesity/BMI and RCC warrants a large prospective confirmation. We are therefore still far from determining a clear role of obesity as a prognostic/predictive factor in metastatic RCC patients undergoing targeted therapy and immunotherapy.
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    Role of STAT3 pathway in genitourinary tumors
    (Future Science Group, 2015-11-01) Santoni, Matteo; Conti, Alessandro; Piva, Francesco; Massari, Francesco; Ciccarese, Chiara; Burattini, Luciano; Cheng, Liang; Lopez-Beltran, Antonio; Scarpelli, Marina; Santini, Daniele; Tortora, Giampaolo; Cascinu, Stefano; Montironi, Rodolfo; Department of Pathology and Laboratory Medicine, IU School of Medicine
    The STAT3 is often dysregulated in genitourinary tumors. In prostate cancer, STAT3 activation correlates with Gleason score and pathological stage and modulates cancer stem cells and epithelial-mesenchymal transition. In addition, STAT3 promotes the progression from carcinoma in situ to invasive bladder cancer and modulates renal cell carcinoma angiogenesis by increasing the expression of HIF1α and VEGF. STAT3 is also involved in the response to tyrosine kinase inhibitors sunitinib and axitinib, in patients with metastatic renal cell carcinoma, and to second-generation androgen receptor inhibitor enzalutamide in patients with advanced prostate cancer. In this review, we describe the role of STAT3 in genitourinary tumors, thus describing its potential for future therapeutic strategies.
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    Sequential or Concomitant Inhibition of Cyclin-Dependent Kinase 4/6 Before mTOR Pathway in Hormone-Positive HER2 Negative Breast Cancer: Biological Insights and Clinical Implications
    (Frontiers Media, 2020) Occhipinti, Giulia; Romagnoli, Emanuela; Santoni, Matteo; Cimadamore, Alessia; Sorgentoni, Giulia; Cecati, Monia; Giulietti, Matteo; Battelli, Nicola; Maccioni, Alessandro; Storti, Nadia; Cheng, Liang; Principato, Giovanni; Montironi, Rodolfo; Piva, Francesco; Pathology and Laboratory Medicine, School of Medicine
    About 75% of all breast cancers are hormone receptor-positive (HR+). However, the efficacy of endocrine therapy is limited due to the high rate of either pre-existing or acquired resistance. In this work we reconstructed the pathways around estrogen receptor (ER), mTOR, and cyclin D in order to compare the effects of CDK4/6 and PI3K/AKT/mTOR inhibitors. A positive feedback loop links mTOR and ER that support each other. We subsequently considered whether a combined or sequential inhibition of CDK4/6 and PI3K/AKT/mTOR could ensure better results. Studies indicate that inhibition of CDK4/6 activates mTOR as an escape mechanism to ensure cell proliferation. In literature, the little evidence dealing with this topic suggests that pre-treatment with mTOR pathway inhibitors could prevent or delay the onset of CDK4/6 inhibitor resistance. Additional studies are needed in order to find biomarkers that can identify patients who will develop this resistance and in whom the sensitivity to CDK4/6 inhibitors can be restored.