,;where exp – exponent; z – coefficient of linear regression = 4.81-0.16*X1+2.3*X2-0.75*X3-0.34*X4, XI – IL-1β of the peritumoral zone; X2 – IFN-γ of tumors; X3 – IFN-γ of peritumoral zone; X4 – IL-2 peritumoral area pg/ml/g of protein. If K is more than 0.4, a favorable response to adjuvant interferon therapy is predicted.;EFFECT: method provides higher accuracy and information value of prediction of effectiveness of adjuvant interferon therapy of skin melanoma by determining indicators, predicting the effectiveness of interferon therapy in skin melanoma patients: IL-1β, IFN-γ, IL-2, and calculating an individual prognosis by a prognostic coefficient K, calculated using a logistic regression equation.;1 cl, 2 dwg, 1 tbl, 2 ex"/> METHOD FOR PREDICTING THE EFFECTIVENESS OF ADJUVANT INTERFERON THERAPY OF SKIN MELANOMA
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METHOD FOR PREDICTING THE EFFECTIVENESS OF ADJUVANT INTERFERON THERAPY OF SKIN MELANOMA

机译:预测皮肤黑素瘤辅助干扰素治疗效果的方法

摘要

FIELD: medicine.;SUBSTANCE: invention refers to medicine, namely to oncology, and can be used for prediction of efficiency of adjuvant interferon therapy of skin melanoma. In homogenates of tumor tissue and adjacent visually unchanged tissue – peritumoral zone, obtained for no more than 1 hour after operation, quantitative content of cytokines is determined by EIA method: IFN-γ in tumor and peritumoral region, IL-1β and IL-2 in peritumoral region. Their specific levels are calculated, by the formula the prognostic coefficient K is determined: ; ,;where exp – exponent; z – coefficient of linear regression = 4.81-0.16*X1+2.3*X2-0.75*X3-0.34*X4, XI – IL-1β of the peritumoral zone; X2 – IFN-γ of tumors; X3 – IFN-γ of peritumoral zone; X4 – IL-2 peritumoral area pg/ml/g of protein. If K is more than 0.4, a favorable response to adjuvant interferon therapy is predicted.;EFFECT: method provides higher accuracy and information value of prediction of effectiveness of adjuvant interferon therapy of skin melanoma by determining indicators, predicting the effectiveness of interferon therapy in skin melanoma patients: IL-1β, IFN-γ, IL-2, and calculating an individual prognosis by a prognostic coefficient K, calculated using a logistic regression equation.;1 cl, 2 dwg, 1 tbl, 2 ex
机译:技术领域本发明涉及医学,即肿瘤学,可用于预测皮肤黑素瘤辅助干扰素治疗的效率。在手术后不超过1小时获得的肿瘤组织匀浆和邻近的视觉不变组织-肿瘤周围区域,通过EIA方法确定细胞因子的定量含量:肿瘤和肿瘤周围区域的IFN-γ,IL-1β和IL-2在肿瘤周围区域。计算其具体水平,通过公式确定预后系数K: ,; exp –指数; z –线性回归系数= 4.81-0.16 * X1 + 2.3 * X2-0.75 * X3-0.34 * X4,XI –肿瘤周围区域的IL-1β; X2 –肿瘤的IFN-γ; X3 –肿瘤周围区域的IFN-γ; X4 – IL-2肿瘤周围区域pg / ml / g蛋白质。如果K大于0.4,则可以预测对辅助干扰素治疗的良好反应。;效果:通过确定指标,预测皮肤中干扰素治疗的有效性,该方法提供了更高的准确性和信息价值,可预测皮肤黑色素瘤辅助干扰素治疗的有效性黑色素瘤患者:IL-1β,IFN-γ,IL-2,并通过逻辑回归方程计算预后系数K来计算个体预后。1cl,2 dwg,1 tbl,2 ex

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