19 research outputs found
The evolving landscape in the management of gastric metastases from melanoma: a case series
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E-recruiting Platforms: Features that Influence the Efficiency of Online Recruitment Systems
Twenty active e-recruitment platform users took part in this study for discovering the most asked for features in a web based hiring process. The respondents were chosen based on their history on such recruitment platforms. With the help of our Internet users we narrowed down the number of platforms, to research for outstanding features and tool efficiency, to five most impressive ones (e-jobs, hipo, bestjobs, LinkedIn, Freelancer). The results were as useful as we expected when we proposed an investigation related to the future of web recruiting platforms. They underlined in a specific manner that most of such web platform users need to have a professional and fully functional environment where they can list their accomplishments and experience and receive direct feedback from employers or employees. The study also shows in detail how much and why do users like to have certain functionalities when they are searching for a new job
Synchronous Mandibular and Giant Parieto-occipital Skull Metastasis From Hepatocellular Carcinoma
La biopsia ecoguidata Elite con sistema TruVac e sonda da 13 G: risultati preliminari
OBIETTIVO: La tipizzazione di noduli mammari mediante prelievi con ago sottile è talora complicata, per varie ragioni da esiti inconclusivi. Queste problematiche dilatano i tempi diagnostici rendendo necessarie ulteriori biopsie con risultati spesso discordanti. Per questo, in molti centri si stanno utilizzando aghi di calibro maggiore sostituendo la citologia con la microistologia: i sistemi di biopsia vuoto-assistita (vacuum-assisted breast biopsy, VABB) evidenziano performance superiori, risultando, tuttavia, spesso meno maneggevoli e più costosi. Lo scopo di questo studio è di valutare le performance di sistema del prelievo microistologico con ago 13 G e tecnologia VABB senza cavi con una maneggiabilità vicina a quella di un ago tranciante.
METODI: Da gennaio 2016 a febbraio 2018, due operatori hanno eseguito complessivamente 86 prelievi microistologici con ago 13 G Elite su lesioni BIRADS 3, 4 e 5, delle quali 30 ripetute dopo precedenti prelievi cito-istologici inconclusivi. Sono state biopsiate lesioni tra 5 e 43 mm di cui 70 noduli, 12 aree di alterazione ecostrutturale non-mass like e tre cisti complex.
RISULTATI: Il sistema 13 G ha evidenziato 3,53% casi B1, 41,17% B2, 17,64% B3 e 37,64% B5. Nello stesso periodo i prelievi con ago tranciante 14-16 G con i medesimi operatori hanno evidenziato i seguenti risultati: 2,65% B1, 44,33% B2, 9% B3, 0,48% B4, 43,49% B5. Il prelievo da 13 G Elite ha permesso un cambio di classe istologica nell’83,33% delle procedure ripetute dopo prelievo non dirimente.
CONCLUSIONI: La procedura bioptica con sistema TruVac si è dimostrata affidabile e potrebbe essere utilizzata per ridurre i casi con esito cito-istologico non dirimente
NHERF1 and tumor microenvironment: a new scene in invasive breast carcinoma
Abstract Background Tumor microenvironment (TME) includes many factors such as tumor associated inflammatory cells, vessels, and lymphocytes, as well as different signaling molecules and extracellular matrix components. These aspects can be de-regulated and consequently lead to a worsening of cancer progression. In recent years an association between the scaffolding protein Na+/H+ exchanger regulatory factor 1 (NHERF1) and tumor microenvironment changes in breast cancer (BC) has been reported. Methods Subcellular NHERF1 localization, vascular endothelial growth factor (VEGF), its receptor VEGFR1, hypoxia inducible factor 1 alpha (HIF-1α), TWIST1 expression and microvessel density (MVD) in 183 invasive BCs were evaluated, using immunohistochemistry on tissue microarrays (TMA). Immunofluorescence was employed to explore protein interactions. Results Cytoplasmic NHERF1(cNHERF1) expression was directly related to cytoplasmic VEGF and VEGFR1 expression (p = 0.001 and p = 0.027 respectively), and inversely to nuclear HIF-1α (p = 0.021) and TWIST1 (p = 0.001). Further, immunofluorescence revealed an involvement of tumor cells with NHERF1 positive staining in neo-vascular formation, suggesting a “mosaic” structure development of these neo-vessels. Survival analyses showed that loss of nuclear TWIST1 (nTWIST1) expression was related to a decrease of disease free survival (DFS) (p < 0.001), while nTWIST1-/mNHERF1+ presented an increased DFS with respect to nTWIST1+/mNHERF1- phenotype (p < 0.001). Subsequently, the analyses of nTWIST1+/cNHERF1+ phenotype selected a subgroup of patients with a worse DFS compared to nTWIST1-/cNHERF1- patients (p = 0.004). Conclusion Resulting data suggested a dynamic relation between NHERF1 and TME markers, and confirmed both the oncosuppressor role of membranous NHERF1 expression and the oncogene activity of cytoplasmic NHERF1
Should Tumor Infiltrating Lymphocytes, Androgen Receptor, and FOXA1 Expression Predict the Clinical Outcome in Triple Negative Breast Cancer Patients?
A combined approach of multiscale texture analysis and interest point/corner detectors for microcalcifications diagnosis
creening programs use mammography as primary diagnostic tool for detecting breast cancer at an early stage. The diagnosis of some lesions, such as microcalcifications, is still difficult today for radiologists. In this paper, we proposed an automatic model for characterizing and discriminating tissue in normal/abnormal and benign/malign in digital mammograms, as support tool for the radiologists. We trained a Random Forest classifier on some textural features extracted on a multiscale image decomposition based on the Haar wavelet transform combined with the interest points and corners detected by using Speeded Up Robust Feature (SURF) and Minimum Eigenvalue Algorithm (MinEigenAlg), respectively. We tested the proposed model on 192 ROIs extracted from 176 digital mammograms of a public database. The model proposed was high performing in the prediction of the normal/abnormal and benign/malignant ROIs, with a median AUC value of 98.46% and 94.19%, respectively. The experimental result was comparable with related work performance