Method for screening characteristic molecules related to drug sensitivity, detecting drug sensitivity degree and detecting cell subtype

Abstract

The invention discloses a drug sensitivity-related characteristic molecule screening, drug sensitivity degree detection and cell subtype detection method. The method comprises the steps: 1, carrying out cell culture, combining cells with an array mass spectrometry chip, and detecting a mass spectrometry signal through laser desorption / ionization mass spectrometry; 2, calculating the change degreeRr of the lipid-to-peak intensity of the cell relative to a non-drug group under each drug concentration; 3, correspondingly carrying out correlation analysis on the Rr value and the survival rate ofthe cells. According to the drug sensitivity degree detection method, cell drug sensitivity is judged by using Rr on the basis of characteristic molecule screening, and PCA and LDA analysis is carriedout after a mass spectrum signal is detected by using a cell subtype detection method; cell subtypes are distinguished through cell lipid mass spectrometry, meanwhile, the sensitivity of different cells to drugs can be judged through mass spectrometry peaks, and the method can be used as an alternative scheme for in-vitro drug sensitivity molecular diagnosis of the cells.

Description

technical field [0001] The invention relates to the field of medical detection, in particular to a method for screening characteristic molecules related to drug sensitivity, detecting drug sensitivity degree, and detecting cell subtype. Background technique [0002] Liver cancer is one of the malignant cancers with the highest morbidity and mortality in the world. The prognosis of liver cancer is very poor, and the 5-year survival period of patients with advanced liver cancer is less than 20%. The high heterogeneity of liver cancer tumor tissue is one of the important obstacles to the effective drug treatment of patients. Heterogeneous liver cancer cells show different sensitivities and drug resistance to anticancer drugs, resulting in the curative effect of anticancer drugs in patients with liver cancer. There are obvious differences among the groups. Combined with the clinical pathological information of liver cancer patients, detection of some characteristic genes (TP53...

AI Technical Summary

Problems solved by technology

Among them, the MTT method and the ATP fluorescence method both detect a single specific molecule in the cell, and cannot provide information on the type of cell and other characteristic molecular information related to drug action.

However, flow cytometry detects the cell cycle and apoptosis by fluorescent labeling, and can also identify the type of cells, but it is limited by the small number of fluorescent labeling reagents and cannot provide more cell molecular information.

However, the mouse PDX model test cycle is long and the cost is high

It is precisely because of the bottleneck of the screening method that it seriously restricts the large-scale and high-throughput mining and discovery of drug-sensitive specific molecules

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