Lesion detection and classification in breast cancer: evaluation of approaches based on morphological features, tracer kinetic modelling and semi-quantitative parameters in MR functional imaging (DCE-MRI)

The diagnosis, grading and classification of tumours has benefited considerably from the development of DCE-MRI which is now essential to the adequate clinical management of many tumour types due to its capability in detecting active angiogenesis. Several strategies have been proposed for DCE-MRI evaluation. Visual inspection of contrast agent concentration curves vs time is a very simple yet operator dependent procedure, therefore more objective approaches have been developed in order to facilitate comparison between studies. In so called model free approaches, descriptive or heuristic information extracted from time series raw data have been used for tissue classification. The main issue concerning these schemes is that they have not a direct interpretation in terms of physiological properties of the tissues. On the other hand, model based investigations typically involve compartmental tracer kinetic modelling and pixel-by-pixel estimation of kinetic parameters via non-linear regression applied on region of interests opportunely selected by the physician. This approach has the advantage to provide parameters directly related to the pathophysiological properties of the tissue such as vessel permeability, local regional blood flow, extraction fraction, concentration gradient between plasma and extravascular-extracellular space. Anyway, nonlinear modelling is computational demanding and the accuracy of the estimates can be affected by the signal-to-noise ratio and by the initial solutions. The principal aim of this thesis is investigate the use of semi-quantitative and quantitative parameters for segmentation and classification of breast lesion. The objectives can be subdivided as follow: describe the principal techniques to evaluate time intensity curve in DCE-MRI with focus on kinetic model proposed in literature; to evaluate the influence in parametrization choice for a classic bi-compartmental kinetic models; to evaluate the performance of a method for simultaneous tracer kinetic modelling and pixel classification; to evaluate performance of machine learning techniques training for segmentation and classification of breast lesion.

High sensitivity analysis of BRAF mutations in neoplastic and non-neoplastic thyroid lesions

The clonal distribution of BRAFV600E in papillary thyroid carcinoma (PTC) has been recently debated. No information is currently available about precursor lesions of PTCs. My first aim was to establish whether the BRAFV600E mutation occurs as a subclonal event in PTCs. My second aim was to screen BRAF mutations in histologically benign tissue of cases with BRAFV600E or BRAFwt PTCs in order to identify putative precursor lesions of PTCs. Highly sensitive semi-quantitative methods were used: Allele Specific LNA quantitative PCR (ASLNAqPCR) and 454 Next-Generation Sequencing (NGS). For the first aim 155 consecutive formalin-fixed and paraffin-embedded (FFPE) specimens of PTCs were analyzed. The percentage of mutated cells obtained was normalized to the estimated number of neoplastic cells. Three groups of tumors were identified: a first had a percentage of BRAF mutated neoplastic cells > 80%; a second group showed a number of BRAF mutated neoplastic cells < 30%; a third group had a distribution of BRAFV600E between 30-80%. The large presence of BRAFV600E mutated neoplastic cell sub-populations suggests that BRAFV600E may be acquired early during tumorigenesis: therefore, BRAFV600E can be heterogeneously distributed in PTC. For the second aim, two groups were studied: one consisted of 20 cases with BRAFV600E mutated PTC, the other of 9 BRAFwt PTCs. Seventy-five and 23 histologically benign FFPE thyroid specimens were analyzed from the BRAFV600E mutated and BRAFwt PTC groups, respectively. The screening of BRAF mutations identified BRAFV600E in “atypical” cell foci from both groups of patients. “Unusual” BRAF substitutions were observed in histologically benign thyroid associated with BRAFV600E PTCs. These mutations were very uncommon in the group with BRAFwt PTCs and in BRAFV600E PTCs. Therefore, lesions carrying BRAF mutations may represent “abortive” attempts at cancer development: only BRAFV600E boosts neoplastic transformation to PTC. BRAFV600E mutated “atypical foci” may represent precursor lesions of BRAFV600E mutated PTCs.

Ricerca di nuove strategie differenziative: Analisi degli effetti di stimoli fisici e molecolari su cellule mesenchimali umane isolate da tessuto adiposo

Introduzione. Le cellule mesenchimali derivate dal tessuto adiposo (hASC) rappresentano un importante strumento per la terapia cellulare, in quanto derivano da un tessuto adulto abbondante e facilmente reperibile. Con il dispositivo medico Lipogems l’isolamento di tali cellule è eseguito esclusivamente mediante sollecitazioni meccaniche. Il prodotto ottenuto è quindi minimamente manipolato e subito utilizzabile. Ad oggi, il condizionamento pro-differenziativo delle staminali è per lo più attuato mediante molecole di sintesi. Tuttavia, altri fattori possono modulare la fisiologia cellulare, come gli stimoli fisici e molecole naturali. Onde elettromagnetiche hanno indotto in modelli cellulari staminali l’espressione di alcuni marcatori di differenziamento e, in cellule adulte, una riprogrammazione, mentre estratti embrionali di Zebrafish sono risultati antiproliferativi sia in vitro che in vivo. Metodi. La ricerca di nuove strategie differenziative sia di natura fisica che molecolare, nel particolare onde acustiche ed estratti embrionali di Zebrafish, è stata condotta utilizzando come modello cellulare le hASC isolate con Lipogems. Onde acustiche sono state somministrate mediante l’utilizzo di due apparati di trasduzione, un generatore di onde meccaniche e il Cell Exciter . I trattamenti con gli estratti embrionali sono stati effettuati utilizzando diverse concentrazioni e diversi tempi sperimentali. Gli effetti sull’espressione dei marcatori di staminalità e differenziamento relativi ai trattamenti sono stati saggiati in RT-PCR quantitativa relativa e/o in qPCR. Per i trattamenti di tipo molecolare è stata valutata anche la proliferazione. Risultati e conclusioni. La meta-analisi dei dati delle colture di controllo mostra la stabilità d’espressione genica del modello. I trattamenti con i suoni inducono variazioni dell’espressione genica, suggerendo un ruolo regolatorio di tali stimoli, in particolare del processo di commitment cardiovascolare. Due degli estratti embrionali di Zebrafish testati inibiscono la proliferazione alle 72 ore dalla somministrazione. L’analisi d’espressione associata ai trattamenti antiproliferativi suggerisce che tale effetto abbia basi molecolari simili ai processi di differenziamento.