Clinicopathological significance of homeoprotein Six1 in hepatocellular carcinoma

Tumour recurrence and metastases of hepatocellular carcinoma (HCC) after hepatectomy are the major obstacles of long-term survival. The present study investigated the clinicopathological significance of a possible metastasis regulator Six1 in HCC patients who were undergone hepatectomy. Seventy-two pairs of RNA and 103 pairs of protein from tumour and adjacent nontumour liver tissues of HCC patients were examined. About 85 and 60% of HCC tumour tissues were found to overexpress Six1 mRNA and protein, respectively, compared with nontumour liver tissues. No Six1 protein was detected in HCC nontumour liver tissues and normal liver tissues. Increased Six1 protein expression in HCC patients was significantly correlated with pathologic tumour-node-metastasis (pTNM) stage (P=0.002), venous infiltration (P=0.004) and poor overall survival (P=0.0423). We concluded that Six1 is frequently overexpressed in HCC patients and elevated Six1 protein in HCC patients may be an indication of advanced stage and poor overall survival after hepatectomy

PrognoScan: a new database for meta-analysis of the prognostic value of genes

<p>Abstract</p> <p>Background</p> <p>In cancer research, the association between a gene and clinical outcome suggests the underlying etiology of the disease and consequently can motivate further studies. The recent availability of published cancer microarray datasets with clinical annotation provides the opportunity for linking gene expression to prognosis. However, the data are not easy to access and analyze without an effective analysis platform.</p> <p>Description</p> <p>To take advantage of public resources in full, a database named "PrognoScan" has been developed. This is 1) a large collection of publicly available cancer microarray datasets with clinical annotation, as well as 2) a tool for assessing the biological relationship between gene expression and prognosis. PrognoScan employs the minimum <it>P</it>-value approach for grouping patients for survival analysis that finds the optimal cutpoint in continuous gene expression measurement without prior biological knowledge or assumption and, as a result, enables systematic meta-analysis of multiple datasets.</p> <p>Conclusion</p> <p>PrognoScan provides a powerful platform for evaluating potential tumor markers and therapeutic targets and would accelerate cancer research. The database is publicly accessible at <url>http://gibk21.bse.kyutech.ac.jp/PrognoScan/index.html</url>.</p

Gene amplification is a mechanism of SW overexpression in breast cancer

The Six1 homeoprotein plays a critical role in expanding progenitor populations during normal development via its stimulation of proliferation and inhibition of apoptosis. Overexpression of Six1 is observed in several tumor types, suggesting that when expressed out of context, Six1 may contribute to tumorigenesis by reinstating properties normally conveyed on developing cells. Indeed, Six1 contributes to tumor cell proliferation both in breast cancer and in rhabdomyosarcomas, in which it is also implicated in metastasis. Whereas Six1 overexpression has been reported in several tumor types, the mechanism responsible for its overexpression has not previously been examined. Here we show that a change in gene dosage may contribute to Six1 mRNA overexpression. Significant Six1 gene amplification and overrepresentation occurs in numerous breast cancer cell lines as compared with normal mammary epithelial cells, and the changes in gene dosage correlate with increased Six1 mRNA levels. Of 214 human infiltrating ductal breast carcinomas examined for Six1 gene dosage, 4.7% show Six1 amplification/ overrepresentation, and tumors that exhibit an increase in Six1 gene dosage overexpress Six1 mRNA. These data implicate SUI gene amplification/overrepresentation as a mechanism of Six1 mRNA overexpression in human breast cancer.6572668267

Increasing incidence of mucormycosis in a large Spanish hospital from 2007 to 2015: Epidemiology and microbiological characterization of the isolates

We studied 19 cases of proven/probable mucormycosis diagnosed from 2007 to 2015 in our hospital and assessed the microbiological characteristics of the isolates. We recorded the incidence of mucormycosis and clinical and microbiological data of infected patients. Isolates were identified to molecular level and tested for their antifungal susceptibility to azoles, amphotericin B, and liposomal amphotericin B according to the CLSI M-38 A2 procedure. The incidence of mucormycosis in cases/100,000 hospital admissions during 2007-2015 increased significantly with respect to that reported in 1988-2006 (3.3 vs. 1.2; P<0.05). Patients mainly had hematological malignancies (52.6%) and/or trauma/surgical wounds (52.6%) and had received antifungal agents before the diagnosis of mucormycosis in 68% of cases. Diagnosis was by isolation (n = 17/19) and/or direct staining (n = 17/18) of Mucorales fungi in clinical samples. Identification was by panfungal PCR in patients with negative results in culture and in direct staining. The microorganisms identified were Lichtheimia spp. (42%), Rhizopus spp. (21%), Cunninghamella bertholletiae (16%), and others (21%). Liposomal amphotericin B was always more active than the other drugs against all the microorganisms except C. bertholletiae. All patients received antifungal treatment with 1 or more antifungal agents, mainly liposomal amphotericin B (17/19). Mortality was 47.4%, although this was significantly lower in the 11 patients in whom debridement was performed (18% vs. 87.5%) (P = 0.015). The incidence of mucormycosis has risen in recent years. The proportion of cases with soft tissue involvement was high, and Lichtheimia was the most frequently involved species. The highest antifungal activity was observed with liposomal amphotericin B