4 results about "Gene profile" patented technology

The invention discloses a breast cancer lymph node metastasis prediction system based on a gene spectrum, and relates to the technical field of breast cancer prediction systems. Comprising a data acquisition module which collects gene spectrum data of a breast cancer patient and collects detailed clinical information of the patient; the preprocessing module is used for carrying out data cleaning and data normalization processing on the collected data; and the feature extraction module is used for extracting principal component features by applying principal component analysis on the basis of the gene expression data. According to the method, gene expression data are considered, various gene spectrum data such as gene mutation and copy number variation and detailed clinical information are integrated, the biological characteristics of the breast cancer can be reflected more comprehensively, and the prediction accuracy is improved.

In my present innovation, the innovative methods introduce transformative advancements in analysis of nucleic acid molecules, gene expression profiling, in situ hybridization and molecular interaction studies, addressing key limitations of conventional methodologies. This versatile assay integrates miRNA, DNA, ctDNA, mRNA, siRNA, in situ hybridization, gene expression profiling, molecular interactions, and microarray technologies into efficient platform for precise molecular analysis. Key features of these innovative methods include the elimination of wash steps, a streamlined workflow, and enhanced sensitivity. The assay provides a qPCR-free solution to overcome size and amplification challenges in miRNA and siRNA assays and introduces a paradigm shift in genomic analysis. It enables in situ hybridization without relying on antibodies and radioactivity and delivers superior gene profiling without requiring wash steps, cDNA generation, or fluorescence incorporation into cDNA. These innovative features ensure heightened accuracy, reproducibility, and efficiency, establishing a new standard for molecular analysis.

The application of N-lactoyl phenylalanine in the preparation of a drug for treating tumors belongs to the technical field of medicine. The structural formula of the N-lactoyl phenylalanine is. The drug plays a role by regulating T cell activation, gene profile changes related to effector function, promoting CD8 + T cell activation, and enhancing the secretion of killing effectors. N-lactoyl phenylalanine can be used in combination with an immune checkpoint inhibitor. The present application first provides a novel use of N-lactoyl phenylalanine (Lac-Phe) as an anti-tumor drug, and determines that the compound is one of the core functional molecules mediating the anti-tumor effect of exercise; and simultaneously first discloses the core action mechanism of Lac-Phe in enhancing CD8 + T cell activation, promoting effector secretion, and improving anti-tumor immune response, which can significantly optimize the efficacy of existing tumor immunotherapy, fill many gaps in the prior art, and have important scientific innovation value and high clinical conversion application prospect.

A method, device and kit for predicting drug efficacy based on a small number of gene expression profiles. The screening method for gene profiles for drug prediction comprises: constructing a 978*978 gene expression correlation matrix using 978 landmark genes in the public data of L1000; clustering the 978 genes into N classes using a clustering method, and selecting a central gene in each class cluster, i.e. the gene with the highest average correlation with other genes in the same cluster as the landmark gene; wherein 90<=N<=150. Compared with the L1000 technology, the method of the present application reduces the number of genes to be detected, and does not require the use of a magnetic bead to detect two genes in proportion, which can effectively reduce the detection cost, improve the detection efficiency, and is suitable for large-scale compound transcriptome data acquisition; the prediction accuracy of the present application is high, while the detection cost is greatly reduced.