首页> 外国专利> METHOD FOR PREDICTION OF DEGREE OF FULL REGRESSION PROBABILITY DURING NEOADJUVANT CHEMOTHERAPY IN PATIENTS WITH LUMINAL MOLECULAR-GENETIC SUBTYPE OF BREAST CANCER

METHOD FOR PREDICTION OF DEGREE OF FULL REGRESSION PROBABILITY DURING NEOADJUVANT CHEMOTHERAPY IN PATIENTS WITH LUMINAL MOLECULAR-GENETIC SUBTYPE OF BREAST CANCER

机译:肿瘤分子遗传基因亚型患者新辅助化疗过程中全回归概率的预测方法

摘要

FIELD: medicine.;SUBSTANCE: histological study of primary neoplasm tissue preparations is performed prior to neoadjuvant chemotherapy. In the preparations, the infiltrative component is evaluated, where the presence of trabecular, tubular, alveolar, solid structures and discrete groups of tumour cells is determined. The stromal component is then evaluated. Presence or absence of discrete groups of tumour cells is determined in the infiltrative component of the tumour. In the tumour stroma, the severity of inflammatory infiltration, the degree of malignancy are estimated. An immunohistochemical study is performed to evaluate the expression of bcl-2, P-glycoprotein in inflammatory infiltrate cells, membrane expression of MRP2 in tumour cells. Malignancy degree of X 1 at the first degree is estimated as 1 point, at the second - as 2 points, at the third - as 3 points. The presence of discrete cell groups X2 in the infiltrative component; the absence is estimated as 1 point, the presence - as 2 points. Presence of bcl-2-positive cells X3 in the inflammatory infiltrate is estimated as 2 points, absence - as 1 point. Positive expression of P-glycoprotein in inflammatory infiltrate cells X4 is estimated as 2 points, absence - as 1 point. The presence of membrane expression of MRP2 in tumour cells X5 is estimated as 2 points, absence - as 1 point. Further, the value of the regression equation Y is calculated from the formula: Y=5-3.0X1-18.5X2-25.5X3+75.6X4-19.8X5, further, the value of the probability of complete tumour regression P is determined by the formula: P=eY/(1+eY), and at P≥0.5, a high, and at P0.5, a low probability of complete regression after neoadjuvant chemotherapy is predicted.;EFFECT: increased accuracy of forecasting.;2 ex
机译:领域:医学;研究对象:在新辅助化疗之前进行原发性肿瘤组织制剂的组织学研究。在制剂中,评估了浸润成分,其中确定了小梁,管状,肺泡,实体结构和肿瘤细胞的离散组的存在。然后评估基质成分。在肿瘤的浸润成分中确定是否存在离散的肿瘤细胞群。在肿瘤基质中,估计炎症浸润的严重程度,恶性程度。进行免疫组织化学研究以评估炎性浸润细胞中bcl-2,P-糖蛋白的表达以及肿瘤细胞中MRP2的膜表达。 X 1 在第一度的恶性度估计为1分,第二度为2分,第三度为3分。渗透成分中存在离散的细胞群X 2 ;不存在估计为1分,存在-估计为2分。炎性浸润中bcl-2阳性细胞X 3 的存在估计为2分,缺失-1分。 P-糖蛋白在炎性浸润细胞X 4 中的阳性表达估计为2分,不存在时为1分。肿瘤细胞X 5 中MRP2膜表达的存在估计为2分,缺失-为1分。此外,从公式Y = 5-3.0X 1 -18.5X 2 -25.5X 3 + 75.6X 4 -19.8X 5 ,此外,完全消退肿瘤的概率P的值由以下公式确定:P = e Y < / Sup> /(1 + e Y ),在P≥0.5时较高,在P <0.5处时,新辅助化疗后完全消退的可能性较低。效果:准确性提高的预测。; 2 ex

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