The invention provides a method for identifying
breast cancer subtypes through
exosome surface markers, and belongs to the technical field of
exosome surface marker detection.The method includes the steps that multicolor
fluorescence markers are adopted for CD9, CD63, CD81 and
breast cancer subtype related surface proteins, a multidimensional
fluorescence intensity matrix is constructed through
flow cytometry, and the
breast cancer subtypes are identified through the multidimensional
fluorescence intensity matrix; and the
interaction strength between the markers is analyzed by combining a fluorescence
resonance energy transfer technology. K-means clustering is adopted to determine different subtype fluorescence characteristic
modes,
Mahalanobis distance is calculated to quantify difference between subtypes, contour coefficients and cohesion are evaluated to screen an optimal marker combination, an
entropy weight method is applied to determine marker weight coefficients, a
support vector machine classification model is constructed, and finally, the distance
score between a sample to be detected and the clustering center of each subtype is calculated to determine the subtype fluorescence characteristic mode. The breast
cancer subtype is accurately judged based on the
minimum distance principle, and an important basis is provided for clinical individualized diagnosis and treatment.