Improvement in performance status after erythropoietin treatment in lung cancer patients undergoing concurrent chemoradiotherapy

PURPOSE: A prospective Phase II trial was carried out to evaluate the effectiveness of erythropoietin in improving or maintaining performance status as determined by the Karnofsky performance status (KPS) score and hemoglobin (Hb) levels in lung cancer patients treated with concurrent chemoradiation (CH-RT). METHODS AND MATERIALS: A total of 51 patients with lung cancer (11 with small-cell, limited stage and 40 with non-small-cell disease, 17 with Stage IIIA and 23 with Stage IIIB), who underwent three different concurrent CH-RT protocols were enrolled. Baseline Hb and KPS values were recorded, as were the nadir Hb and KPS values before concurrent CH-RT. The final Hb and KPS values were recorded the last week of concurrent CH-RT. An Hb level of 相似文献   

Simplified tetrandrine congeners as possible antihypertensive agents with a dual mechanism of action

A series of O- and/or N-substituted derivatives of (+/-)-coclaurine (1a) were synthesized as simplified structural mimics of the antihypertensive alkaloid tetrandrine (2) and assayed for binding to brain cortical sites labeled with the alpha(1)-adrenergic radioligand [(3)H]prazosin or the calcium channel radioligand [(3)H]diltiazem. The introduction of O-benzyl groups on the coclaurine molecule, which exhibits only adrenergic antagonist activity, led to the appearance of calcium channel blocking activity comparable to that of tetrandrine while retaining adrenolytic activity in the same concentration range. Contraction of aortal rings with noradrenaline or KCl was relaxed more potently by some of these coclaurine derivatives than by tetrandrine, suggesting leads for the development of novel antihypertensive drugs with a dual mechanism of action.     

Estimating Electrical Conductivity Tensors of Biological Tissues Using Microelectrode Arrays

Finding the electrical conductivity of tissue is highly important for understanding the tissue's structure and functioning. However, the inverse problem of inferring spatial conductivity from data is highly ill-posed and computationally intensive. In this paper, we propose a novel method to solve the inverse problem of inferring tissue conductivity from a set of transmembrane potential and stimuli measurements made by microelectrode arrays (MEA). We first formalize the discrete forward model of transmembrane potential propagation, based on a reaction-diffusion model with an anisotropic inhomogeneous electrical conductivity-tensor field. Then, we propose a novel parallel optimization algorithm for solving the complex inverse problem of estimating the electrical conductivity-tensor field. Specifically, we propose a single-step approximation with a parallel block-relaxation optimization routine that simplifies the joint tensor field estimation problem into a set of computationally tractable subproblems, allowing the use of efficient standard optimization tools. Finally, using numerical examples of several electrical conductivity field topologies and noise levels, we analyze the performance of our algorithm, and discuss its application to real measurements obtained from smooth-muscle cardiac tissue, using data collected with a high-resolution MEA system.