The University of Tokyo · Medicine
Professor Ryosuke Tateishi's research lab specializes in hepatocellular carcinoma (HCC) management, with a focus on improving prognosis prediction, treatment efficacy, and risk stratification. The lab investigates the impact of body composition—such as sarcopenia, visceral adiposity, and fat deposition—on patient outcomes, emphasizing that body composition is a stronger prognostic indicator than BMI. They also explore the role of tumor markers (AFP, DCP, AFP-L3) in predicting recurrence after curative ablation and evaluate clinical scoring systems like the Tokyo score for Japanese HCC patients. Additionally, the lab examines non-viral etiologies of HCC, particularly those linked to lifestyle factors like obesity, diabetes, and alcohol consumption.
Figures are computed from collected data and may differ slightly.
The authors confirmed the safety and efficacy of RFA for HCC in a large-scale series and long-term prognosis was satisfactory.
Sarcopenia, IMF deposition, and visceral adiposity independently predict mortality in patients with HCC. Body composition rather than BMI is a major determinant of prognosis in patients with HCC.
The Tokyo score is a simple system which provides good prediction of prognosis for Japanese patients with HCC requiring radical therapy.
The proportion of HCC patients with non-viral etiologies continues to increase in Japan. Lifetime total amount of alcohol consumption may be a risk factor.
Most cases of non-B, non-C HCC are related to lifestyle factors, including obesity and diabetes. Slightly overweight patients showed the best prognosis.
Three tumor markers for hepatocellular carcinoma (HCC) are available in daily practice in Japan: alpha-fetoprotein (AFP), des-gamma-carboxy prothrombin (DCP), and lens culinaris agglutinin-reactive fraction of alpha-fetoprotein (AFP-L3). To elucidate the predictability of these tumor markers on HCC recurrence after curative ablation, we enrolled 416 consecutive patients with naïve HCC who had been treated by percutaneous ablation at our department from July 1997 to December 2002. Tumor marker le
Using the National Oceanic & Atmospheric Administration (NOAA) National Aeronautics & Space Administration (NASA) Pathfinder Land dataset (PAL data) from 1982–2000, vegetation phenology (onset, peak and offset) was defined and analysed with climate data. In areas of precipitation-dependent phenology such as Central Africa, it was found that Normalized Difference Vegetation Index (NDVI) is affected approximately 20–40 days after the occurrence of precipitation, depending on land cover types. In a
Poor differentiation degree was the risk factor of neoplastic seeding after RFA for HCC. The surrogate markers for poor differentiation degree were larger tumor size and elevated tumor marker levels. Indication for RFA should be carefully considered for HCC patients under these conditions.
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