In an attempt to identify molecules that clearly reflect the oncogenic role of cell signaling pathways in human tumors, we propose a concept we term ''funnel factor'', a factor where several oncogenic signals converge and drive the proliferative signal downstream. In studies done in various tumor types, the expression of key cell signaling factors, including Her1 and Her2 growth factor receptors, as well as the RAS-RAF-mitogenactivated protein kinase and the phosphatidylinositol 3-kinase-AKT-mammalian target of rapamycin pathways was correlated with the associated clinicopathologic characteristics of these tumors. The downstream factors p70, S6, 4E-binding protein 1 (4E-BP1), and eukaryotic translation initiation factor 4E, which play a critical role in the control of protein synthesis, survival, and cell growth, were also analyzed. We found that phosphorylated 4E-BP1 (p-4E-BP1) expression in breast, ovary, and prostate tumors is associated with malignant progression and an adverse prognosis regardless of the upstream oncogenic alterations. Thus, p-4E-BP1 seems to act as a funnel factor for an essential oncogenic capability of tumor cells, self-sufficiency in growth signals, and could be a highly relevant molecular marker of malignant potential. Further investigation into this concept may identify additional funnel factors in the oncogenic pathways and provide potential therapeutic targets. [Cancer Res 2007;67(16):7551-5]

Helical computerized tomography (CT) and magnetic resonance imaging (MRI) are used for staging of hepatocellular carcinoma (HCC) prior to curative treatments but underestimate tumor extension in 30% to 50% of cases when compared with pathologic explants. This study compares a new technology, MRI angiography (MRA), with triphasic helical CT in detection of HCC. Fifty cirrhotic patients, 29 with HCC, undergoing liver transplantation were analyzed. MRA was performed with a 3-D breath-hold fast spoiled gradient-echo sequence by using an effective section thickness of 2 to 2.5 mm. The gold standard was the pathologic examination (liver cut into 5-mm slices). One hundred twenty-seven lesions were identified at the explant: 76 HCC, 13 high-grade dysplastic nodules, 31 macroregenerative nodules, 7 hemangiomas. Diameter of the main HCC nodules was 29 +/- 14 mm and 11 +/- 7 mm for the 47 additional nodules. On a per nodule basis, sensitivity of MRA was superior to CT (58/76 [76%] vs. 43/70 [61%], respectively, P =.001). Sensitivity of MRA for detection of additional nodules decreased with size (>20 mm: 6/6 [100%]; 10-20 mm: 16/19 [84%]; <10 mm: 7/22 [32%]) and was superior to CT for nodules 10 to 20 mm (84% vs. 47%, P =.016). Nonspecific hypervascular nodules >5 mm at MRA were HCC in two thirds of the cases. In conclusion, MRA has a high diagnostic accuracy for HCC > or =10 mm and is more sensitive than triphasic helical CT in nodules sized 10 to 20 mm. MRA is the optimal technique for HCC staging prior to curative therapies.

Purpose: To analyze the expression of PTOV1 in high-grade prostatic intraepithelial neoplasia (HG-PIN) and to explore its usefulness to predict prostate cancer in patients with isolated HG-PIN in needle biopsy (prostate needle biopsy). Experimental Design: PTOV1expression in HG-PIN lesions from 140 patients was analyzed by immunohistochemistry in a semiquantitative manner (Histo-score). HG-PIN derived from 79 radical prostatectomies for prostate cancer and from 11 cistoprostatectomies for bladder cancer without prostate cancer were used as positive and negative controls, respectively. Fifty patients with HG-PIN without concomitant cancer at their first prostate needle biopsy were chosen as the study group. Patients were followed by a mean of 2.5 repeated prostate needle biopsies (1-5), during a mean period of 12.4 months (1-39). Results: PTOV1expression in HG-PIN from radical prostatectomies showed a significantly higher Histo-score (162.6) compared with specimens from cistoprostatectomies (67.0). In the study group, PTOV1 expression was significantly higher in samples with cancer in the follow-up (11 patients, 22%) compared with samples in which cancer was not detected (151.4 versus 94.6). PTOV1expression was the only independent predictor of cancer in the multivariate analysis and the area under the curve was 0.803 (95% confidence interval, 0.728-0.878). A threshold of 100 for PTOV1 expression provided 90.9% sensitivity, 51.3% specificity, 34.5% positive predictive value, and 95.2% negative predictive value. Conclusions: PTOV1 is overexpressed in HG-PIN associated with cancer and is a potential marker for studying the carcinogenesis and progression of prostate cancer. Prostate needle biopsy with PTOV1 expression in HG-PIN above a threshold of 100 should be repeated immediately for the likely presence of undiagnosed cancer.Prostate tumor overexpressed-1 (PTOV1) was identified in our laboratory as a novel gene and protein during a screening for genes differentially expressed in prostate cancer. PTOV1 protein consists of two repeated blocks of 151 and 147 amino acids, joined by a short linker peptide, and is encoded by a 12-exon gene localized in chromosome 19q13.3 (1). The expression of PTOV1 is regulated by androgens (2). By immunohistochemical analysis, PTOV1 was undetectable in normal prostate tissue and benign prostate hyperplasia, whereas a strong immunoreactivity was shown in areas of carcinoma and high-grade prostatic intraepithelial neoplasia (HG-PIN). The high expression of PTOV1 in tumors correlated with their proliferative status, assessed by Ki67 immunoreactivity, and associated with nuclear localization of the protein, suggesting a functional relationship between PTOV1 overexpression, proliferative status, and nuclear localization. In cultured prostate tumor cells, PTOV1 localized in the cytoplasm of quiescent cells and after serum stimulation, the protein partially translocated to the nucleus. Exogenous overexpression of tagged-PTOV1 induced the entry of cells into the S phase of the cell ...

ATC diverge from PTC early in tumour development and both tumour types evolve independently. Our work allows the understanding of the relationship between ATC and PTC facilitating the clinical management of these malignancies.