Methods for classifying patients with a solid cancer
A cancer and patient technology, applied in the field of patient responsiveness to anti-tumor therapy, can solve problems such as unpredictable response to therapy, and achieve the effect of prolonging survival
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[0212] A reference group of patients (n=539) with stage I / II / III colorectal cancer was analyzed according to the algorithm scoring method. Whole slide tumors were stained with CD3 antibody and CD8 antibody. Using digital pathology and image analysis software, determine the invasive margin (IM) of the tumor and the core (center) of the tumor (CT). Quantification of CD3 and CD8 densities in CT and IM regions (cells / mm 2 ). Distributions of all densities or all markers were plotted and reported in the table. The corresponding percentiles are derived (i.e. at 5% step intervals). In the example shown in the table below, the average of 4 density biomarker values was calculated, each biomarker being weighted by 1. The Kaplan-Meier curves for this cohort are shown in image 3 Above, the 5 groups of categories (I0, I1, I2, I3, I4) correspond to the average percentile value.
[0213] In the table below is an illustration of an example of calculating the arithmetic mean of the p...
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