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Cancer type prediction system and method based on tissue and organ differentiation hierarchical relationship

A technology of tissue, organ and hierarchical relationship, applied in the field of biomedicine, can solve problems such as unknown primary tumors and difficulty in judging cancer types, and achieve cost-saving effects

Active Publication Date: 2020-01-17
SHANGHAI ORIGIMED CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the method of the present invention solves the problem that metastatic cancer with unknown primary tumor or multiple primary malignant tumors is difficult to determine the type of cancer

Method used

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  • Cancer type prediction system and method based on tissue and organ differentiation hierarchical relationship
  • Cancer type prediction system and method based on tissue and organ differentiation hierarchical relationship
  • Cancer type prediction system and method based on tissue and organ differentiation hierarchical relationship

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Embodiment Construction

[0070] Below by embodiment the present invention will be further described, and its purpose is only to understand research content of the present invention better but not limit protection scope of the present invention.

[0071] Such as figure 1 As shown, a structural block diagram of a system for predicting cancer types based on the hierarchical relationship of tissue and organ differentiation according to an embodiment of the present invention, the system includes:

[0072] The acquisition module 1 is used to obtain the transcriptome gene expression data of each cancer in multiple cancer types as a training set; the tissue and organ differentiation hierarchical relationship definition module 2 is used to divide different cancer types into the first group according to the tissue and organ differentiation relationship. The first level and the second level; feature selection module 3, which is used to perform feature selection based on the hierarchical relationship of tissue an...

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Abstract

The invention provides a cancer type prediction system and method based on a tissue and organ differentiation hierarchical relationship. The method comprises the following steps of: acquiring transcriptome gene expression quantity data of each cancer in a plurality of cancer types as a training set; dividing different cancer types into a first grade and a second grade according to a tissue and organ differentiation relationship; performing feature selection based on the tissue and organ differentiation hierarchical relationship, that is, for each tissue and organ type or cancer type of each grade, the cancer type is selected to differentially express genes compared with all other cancer types in the training set, and the genes are high-expression genes; carrying out normalization processing on the gene expression data; inputting the normalized gene expression data into a machine learning algorithm to construct a double-layer machine learning classification model; and inputting a processed to-be-detected sample data into the double-layer machine learning classification model for prediction.

Description

technical field [0001] The invention relates to the field of biomedicine, in particular to a cancer type prediction system and method based on the hierarchical relationship of tissue and organ differentiation. Background technique [0002] Metastatic cancer with unknown primary tumor refers to metastatic cancer that can be confirmed by histological or cytological examination, but the medical history and clinical manifestations cannot provide evidence of the primary tumor. Adenocarcinoma accounts for 40% of metastatic cancers with unknown primary tumors, and the primary tumors may be: tumors of the lung, pancreas, gastrointestinal tract, gallbladder, liver, kidney, breast, prostate, thyroid, adrenal gland, and germ cells; Undifferentiated carcinoma accounts for 40%, and can occur in almost any location; squamous cell carcinoma accounts for 13%, mainly from tumors of the lung, head and neck, esophagus, cervix, bladder, etc.; other types of tumors account for 7%. [0003] Mult...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B40/20G16H50/20
CPCG16B40/20G16H50/20
Inventor 李鹏施巍炜王凯
Owner SHANGHAI ORIGIMED CO LTD
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