No abstract

Background and Objective: We developed a new imaging system to detect sentinel nodes (SNs) using a novel fluorescent tracer, ATX-S10Na(II), and investigated its usefulness in an animal model. Study Design/Materials and Methods: Human gastric carcinoma cells were implanted orthotopically into nude rats. ATX-S10Na(II) was injected subserosally into the primary tumor lesion, and visualized by a fluorescence spectro-laparoscope. Presence of tumor cells in lymph nodes (LNs) was determined by RT-PCR specific for human b-actin. Results: Injection of ATX-S10Na(II) was successful in 27 tumor-bearing rats. A red fluorescence was incorporated into the left gastric and hepatic LNs in 25 and 2 rats, respectively. Of note, human b-actin was detected in most of these LNs. Fluorescence was not detected in LNs that did not contain cancer. Conclusion: ATX-S10Na(II) is useful for the detection of cancer-containing SNs in an animal model of gastric carcinoma, and may serve as a novel tracer in SN navigation surgery.

These results support the validity of the ATX-S10Na(II)-guided approach in the detection of SNs in gastric cancer in vivo.

To identify key genes involved in the complex multistep process of hepatotumorigenesis, we reduced multivariate clinicopathological variables by using the Long-Evans Cinnamon rat, a model with naturally occurring and oxidative stress-induced hepatotumorigenesis. Gene expression patterns were analyzed serially by profiling liver tissues from rats of a naive status (4 weeks old), through to those with chronic hepatitis (26 and 39 weeks old) to tumor development (67 weeks old). Of 31 099 probe sets used for microarray analysis, 87 were identified as being upregulated in a stepwise manner during disease progression and tumor development. Quantitative real-time reverse transcription-polymerase chain reaction and statistical analyses verified that IQGAP1 and vimentin mRNA expression levels increased significantly throughout hepatotumorigenesis. A hierarchical clustering algorithm showed both genes clustered together and in the same cluster group. Immunohistochemical and western blot analyses showed similar increases in protein levels of IAGAP1 and vimentin. Finally, pathway analyses using text-mining technology with more comprehensive and recent gene-gene interaction data identified IQGAP1 and vimentin as important nodes in underlying gene regulatory networks. These findings enhance our understanding of the multistep hepatotumorigenesis and identification of target molecules for novel treatments.