Novel method for breast cancer prognosis evaluation based on collagen distribution in tumor microenvironment

Abstract

The invention relates to a novel method for breast cancer prognosis evaluation based on collagen distribution in a tumor microenvironment. The method comprises the steps of dividing the development ofcollagen fibers in the tumor microenvironment into three stages and eight collagen morphological distribution characteristics; performing multi-photon scanning imaging on a dewaxed breast cancer paraffin embedded tissue slice to obtain second harmonic images, namely, collagen fiber distribution images; classifying the collagen fiber distribution in each second harmonic image to obtain corresponding scores of the eight collagen distribution characteristics of the whole slice; dividing the score of each collagen morphological distribution characteristic by the total score of the eight collagendistribution characteristics to calculate the percentage of each collagen characteristic; performing cross validation by adopting ridge regression analysis, and calculating to obtain the weight of each collagen characteristic; and performing weighted sum on the percentages of the eight collagen morphological distribution characteristics and the corresponding eight weights, and calculating the final collagen distribution score of each patient, wherein the final collagen distribution score is used for judging the probability that the patient has five-year disease-free survival time. According tothe method, the postoperative risk condition of the patient can be simply, accurately and rapidly evaluated.

Description

technical field [0001] The invention relates to a method for evaluating the prognosis of breast cancer, in particular to a new method for evaluating the prognosis of breast cancer based on the distribution of collagen in the tumor microenvironment. Background technique [0002] According to the data of the World Health Organization (WHO), breast cancer is currently one of the most common malignant tumors in women worldwide. The second leading cause of death from cancer. Breast cancer is a highly heterogeneous tumor with four distinct molecular subtypes that differ significantly in risk factors, treatment response, and prognosis. Local recurrence and distant metastasis remain the main problems after primary breast resection, significantly increasing the risk of death for patients. At present, some clinical prognostic factors such as clinical stage, tumor size, lymph node metastasis and distant metastasis are widely used, but the accuracy needs to be improved. Therefore, th...

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Problems solved by technology

At present, some clinical prognostic factors such as clinical stage, tumor size, lymph node metastasis and distant metastasis are widely used, but the accuracy needs to be improved.

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