| CPC G16B 20/50 (2019.02) [G01N 33/6848 (2013.01); G16B 35/20 (2019.02); G01N 2800/52 (2013.01)] | 10 Claims |
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1. A method for inhibiting in vivo tumor metastasis within a patient, the method comprising:
A) identifying key heterogeneous molecules driving that drive tumor metastasis by using a prediction system to obtain a sorted list of heterogeneous molecules, the prediction system comprising a non-transitory computer readable storage medium having computer instructions stored in the medium and a processor for executing the computer instructions, identifying the key heterogeneous molecules that drive tumor metastasis by using the prediction system to obtain a sorted list of heterogeneous molecules comprising:
(1) inputting a first quantitative analysis result of proteins and a second quantitative analysis result of proteins to the prediction system; the first quantitative analysis result of proteins is a collection of quantitative analysis results of various protein expression levels in tumor metastases of the patient before drug intervention, and the second quantitative analysis result of proteins is a collection of quantitative analysis results of various protein expression levels in residual tumor metastases of the patient after drug intervention;
(2) comparing, by using the prediction system, the first quantitative analysis result of proteins and the second quantitative analysis result of proteins, and including proteins with expression changes within a predetermined range in a candidate protein set;
(3) constructing, by using the prediction system to employ a protein interaction network analysis tool, experimentally validated protein interaction networks based on the candidate protein set, supplementing the protein interaction networks by utilizing signal pathways of the candidate protein; including most important proteins in each protein interaction network as independent heterogeneous molecules in an independent molecular set; constructing, by using the prediction system to employ a protein interaction network prediction tool and based on the candidate protein set, a protein interaction prediction network according to a protein interaction law; and including proteins in the candidate protein set that do not participate in any protein interaction prediction network as independent heterogeneous molecules in the independent molecular set; and
(4) calculating, by using the prediction system, a hazard ratio (HR) value of each heterogeneous molecule in the independent molecular set, and sorting the heterogeneous molecules based on the HR value, to form the sorted list of heterogeneous molecules; and
B) conducting a sequential intervention on the heterogeneous molecules within the patient by administering to the patient, in sequence, inhibitors or agonists that respectively target the heterogeneous molecules according to an order in the sorted list of heterogeneous molecules, thereby inhibiting in vivo tumor metastasis within the patient.
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