IGF system, CD99 and tumor-specific chromosomal translocations: evaluation of their cross-talk and definition of their role in Ewing sarcoma and prostate cancer

Aberrant expression of ETS transcription factors, including FLI1 and ERG, due to chromosomal translocations has been described as a driver event in initiation and progression of different tumors. In this study, the impact of prostate cancer (PCa) fusion gene TMPRSS2-ERG was evaluated on components of the insulin-like growth factor (IGF) system and the CD99 molecule, two well documented targets of EWS-FLI1, the hallmark of Ewing sarcoma (ES). The aim of this study was to identify common or distinctive ETS-related mechanisms which could be exploited at biological and clinical level. The results demonstrate that IGF-1R represents a common target of ETS rearrangements as ERG and FLI1 bind IGF-1R gene promoter and their modulation causes alteration in IGF-1R protein levels. At clinical level, this mechanism provides basis for a more rationale use of anti-IGF-1R inhibitors as PCa cells expressing the fusion gene better respond to anti-IGF-1R agents. EWS-FLI1/IGF-1R axis provides rationale for combination of anti-IGF-1R agents with trabectedin, an alkylator agent causing enhanced EWS-FLI1 occupancy on the IGF-1R promoter. TMPRSS2-ERG also influences prognosis relevance of IGF system as high IGF-1R correlates with a better biochemical progression free survival (BPFS) in PCa patients negative for the fusion gene while marginal or no association was found in the total cases or TMPRSS2-ERG-positive cases, respectively. This study indicates CD99 is differentially regulated between ETS-related tumors as CD99 is not a target of ERG. In PCa, CD99 did not show differential expression between TMPRSS2-ERG-positive and –negative cells. A direct correlation was anyway found between ERG and CD99 proteins both in vitro and in patients putatively suggesting that ERG target genes comprehend regulators of CD99. Despite a little trend suggesting a correlation between CD99 expression and a better BPFS, no clinical relevance for CD99 was found in the field of prognostic biomarkers.

Statistical methods for biomedical signal analysis and processing

Statistical modelling and statistical learning theory are two powerful analytical frameworks for analyzing signals and developing efficient processing and classification algorithms. In this thesis, these frameworks are applied for modelling and processing biomedical signals in two different contexts: ultrasound medical imaging systems and primate neural activity analysis and modelling. In the context of ultrasound medical imaging, two main applications are explored: deconvolution of signals measured from a ultrasonic transducer and automatic image segmentation and classification of prostate ultrasound scans. In the former application a stochastic model of the radio frequency signal measured from a ultrasonic transducer is derived. This model is then employed for developing in a statistical framework a regularized deconvolution procedure, for enhancing signal resolution. In the latter application, different statistical models are used to characterize images of prostate tissues, extracting different features. These features are then uses to segment the images in region of interests by means of an automatic procedure based on a statistical model of the extracted features. Finally, machine learning techniques are used for automatic classification of the different region of interests. In the context of neural activity signals, an example of bio-inspired dynamical network was developed to help in studies of motor-related processes in the brain of primate monkeys. The presented model aims to mimic the abstract functionality of a cell population in 7a parietal region of primate monkeys, during the execution of learned behavioural tasks.

Imaging di risonanza magnetica nucleare nello studio del tumore della prostata

Aim of the present study was to evaluate the accuracy of transrectal ultrasound biopsy (TRUS-biopsy) directed to regions with abnormal MRI and/or MRSI (magnetic resonance spectroscopic imaging ) for both the transition (TZ) and the peripheral (PZ) zones in patients who presented with persistent suspect for prostate cancer and with prior negative biopsy. We also evaluated relationship between MRSI results and histopathological findings of biopsy. 54 patients with the aforementioned characteristics underwent MRI/MRSI at least 6 months after prior negative biopsy; interval between MRI/3D-MRSI and the further TRUS-biopsy was less than 3 months. The prostate was divided in 12 regions both for imaging interpretation and biopsy. Moreover one to three cores more were taken from each region with abnormal MRI and/or 3D-MRSI. Twenty-two out of 54 patients presented cancer at MRI/MRSI-directed-TRUS-biopsy. On a patient basis the highest accuracy was obtained by assigning malignancy on a positive finding with MRSI and MRI even though it was not significantly greater than that obtained using MRI alone (area under the ROC curve, AUC: 0.723 vs. 0.676). On a region (n=648) basis the best accuracy was also obtained by considering positive both MRSI and MRI for PZ (0.768) and TZ (0.822). Twenty-eight per cent of cores with prostatitis were false positive findings on MRSI, whereas only 2.7% of benign prostatic hyperplasia was false positive. In conclusion the accuracy of MRI/MRSI-directed biopsies in localization of prostate cancer is good in patient and region analyses. The combination of both MRI and MRSI results makes TRUS-biopsy more accurate particularly in the TZ (0.822) for patients with prior negative biopsies. Histopathological analysis showed that the main limitation of MRSI is the percentage of false positive findings due to prostatitis.

Trattamento radioterapico ipofrazionato ad alte dosi del carcinoma prostatico con tecnica ad intensità modulata (IMRT) guidata dalle immagini (IGRT)

Obiettivo: valutare la tossicità ed il controllo di malattia di un trattamento radioterapico ipofrazionato ad alte dosi con tecnica ad intensità modulata (IMRT) guidata dalle immagini (IGRT) in pazienti affetti da carcinoma prostatico a rischio intermedio, alto ed altissimo di recidiva. Materiali e metodi: tutti i pazienti candidati al trattamento sono stati stadiati e sottoposti al posizionamento di tre “markers” fiduciali intraprostatici necessari per l’IGRT. Mediante tecnica SIB – IMRT sono stati erogati alla prostata 67,50 Gy in 25 frazioni (EQD2 = 81 Gy), alle vescichette 56,25 Gy in 25 frazioni (EQD2 = 60,35 Gy) e ai linfonodi pelvici, qualora irradiati, 50 Gy in 25 frazioni. La tossicità gastrointestinale (GI) e genitourinaria (GU) è stata valutata mediante i CTCAE v. 4.03. Per individuare una possibile correlazione tra i potenziali fattori di rischio e la tossicità registrata è stato utilizzato il test esatto di Fisher e la sopravvivenza libera da malattia è stata calcolata mediante il metodo di Kaplan-Meier. Risultati: sono stati arruolati 71 pazienti. Il follow up medio è di 19 mesi (3-35 mesi). Nessun paziente ha dovuto interrompere il trattamento per la tossicità acuta. Il 14% dei pazienti (10 casi) ha presentato una tossicità acuta GI G ≥ 2 e il 15% (11 pazienti) ha riportato una tossicità acuta GU G2. Per quanto riguarda la tossicità tardiva GI e GU G ≥ 2, essa è stata documentata, rispettivamente, nel 14% dei casi (9 pazienti) e nell’11% (7 pazienti). Non è stata riscontrata nessuna tossicità, acuta o cronica, G4. Nessun fattore di rischio correlava con la tossicità. La sopravvivenza libera da malattia a 2 anni è del 94%. Conclusioni: il trattamento radioterapico ipofrazionato ad alte dosi con IMRT-IGRT appare essere sicuro ed efficace. Sono comunque necessari ulteriori studi per confermare questi dati ed i presupposti radiobiologici dell’ipofrazionamento del carcinoma prostatico.

Sviluppo di un sistema di Realta Aumentata applicato a un modello 3D della prostata, sviluppato a partire da immagini RM, al fine di facilitare la dissezione del tumore e la conservazione dei fasci neuro vascolari durante l'intervento chirurgico di prostatectomia radicale robot-assistita

La realtà aumentata (AR) è una nuova tecnologia adottata in chirurgia prostatica con l'obiettivo di migliorare la conservazione dei fasci neurovascolari (NVB) ed evitare i margini chirurgici positivi (PSM). Abbiamo arruolato prospetticamente pazienti con diagnosi di cancro alla prostata (PCa) sul base di biopsia di fusione mirata con mpMRI positiva. Prima dell'intervento, i pazienti arruolati sono stati indirizzati a sottoporsi a ricostruzione del modello virtuale 3D basato su mpMRI preoperatoria immagini. Infine, il chirurgo ha eseguito la RARP con l'ausilio del modello 3D proiettato in AR all'interno della console robotica (RARP guidata AR-3D). I pazienti sottoposti a AR RARP sono stati confrontati con quelli sottoposti a "RARP standard" nello stesso periodo. Nel complesso, i tassi di PSM erano comparabili tra i due gruppi; I PSM a livello della lesione indice erano significativamente più bassi nei pazienti riferiti al gruppo AR-3D (5%) rispetto a quelli nel gruppo di controllo (20%; p = 0,01). La nuova tecnica di guida AR-3D per l'analisi IFS può consentono di ridurre i PSM a livello della lesione dell'indice