Publications by authors named "F Hirata"
Background/aim: The aim of the study was to analyze the association between abdominal aortic calcification (AAC) and patient prognosis following resection of colorectal liver metastases (CRLM). AAC potentially reflects intrahepatic immunity and is involved in tumor development and progression. However, the clinical effects of AAC on colorectal cancer (CRC) prognosis after curative-intent liver resection for CRLM remain unclear.
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- - Recent advances in glioma diagnosis have been fueled by new technologies, enhancing our understanding of tumor behavior and leading to the updated 2021 WHO classification of CNS tumors.
- - The article highlights key diagnostic methods like immunohistochemistry, genetic sequencing, and neuroimaging, which are essential for accurate glioma classification and treatment planning.
- - It emphasizes the role of multidisciplinary collaboration and the potential of artificial intelligence and radiogenomics to improve glioma diagnosis and patient outcomes in the future.
In 2012, Kim and Hirata derived two generalized Langevin equations (GLEs) for a biomolecule in water, one for the structural fluctuation of the biomolecule and the other for the density fluctuation of water, by projecting all the mechanical variables in phase space onto the two dynamic variables: the structural fluctuation defined by the displacement of atoms from their equilibrium positions, and the solvent density fluctuation. The equation has an expression similar to the classical Langevin equation (CLE) for a harmonic oscillator, possessing terms corresponding to the restoring force proportional to the structural fluctuation, as well as the frictional and random forces. However, there is a distinct difference between the two expressions that touches on the essential physics of the structural fluctuation, that is, the in the restoring force.
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- The study investigates the variability of anti-tumor effects of natural killer (NK) cells, specifically through a liver immune status index (LISI) that predicts low expression of TRAIL, a protein linked to tumor cell destruction.
- Researchers analyzed liver NK cells from 40 donors and created the LISI using logistic regression to assess its predictive capability in a larger cohort of 586 patients who underwent liver surgery for hepatocellular carcinoma (HCC).
- Findings showed that LISI is a strong independent predictor of cancer recurrence risk, especially in high-risk patients, outperforming other common evaluation indices in those with vascular invasion.
Article Synopsis
- The generalized Langevin mode analysis (GLMA) examines chemical reactions in biomolecules as barrier-crossing processes, similar to the established Marcus theory.
- It utilizes the concept of free-energy surfaces, which are assumed to be quadratic or harmonic, based on the Kim-Hirata theory regarding protein structural fluctuations.
- The analysis emphasizes the importance of identifying a relevant reaction coordinate, with the reaction rate determined by factors such as the activation barrier and frequency of fluctuations, following a formula akin to the Marcus expression for electron transfer reactions.