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Method for quantitative evaluation of molecule mutation degree by tobacco

A quantitative evaluation and molecular technology, applied in instrumentation, genomics, proteomics, etc., can solve the problems of single index and inaccurate evaluation

Inactive Publication Date: 2019-08-13
TIANJIN UNIV
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Problems solved by technology

[0006] In order to solve the problems existing in the prior art, the present invention provides a method for quantitatively evaluating the degree of molecular mutation caused by tobacco—the F-score method, so as to solve the single index and inaccurate evaluation of the damage degree of smoke to gene molecules in the prior art The problem

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Embodiment Construction

[0023] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0024] This invention mainly has the following steps:

[0025] (1) Acquire data. The present invention is mainly aimed at lung adenocarcinoma (LUAD), lung squamous cell carcinoma (LUSC) and small cell lung cancer (SCLC). LUAD has two independent datasets: the GDC dataset is downloaded from the genome data sharing website (https: / / portal.gdc.cancer.gov / ), which is the whole exome data of somatic mutations. This data set contains a total of 567 samples as a training set for modeling; another data set comes from a literature with a total of 183 LUAD tumor samples, of which 159 exome data samples are selected as a test set (Imielinski M, et al.Mapping the Hallmarks of LungAdenocarcinoma with Massively Parallel Sequencing, in which 159 exome data are clinical data WES, which can be obtained in the supplementary file of ...

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Abstract

The invention discloses a method for quantitative evaluation of molecule mutation degree by tobacco. Two variables of TMB and TTR are comprehensively considered. An F-score model which is obtained through training can more objectively and accurately evaluate existence and degree of smoke-related molecule damage of smoked patients and non-smoker patients in lung cancer. Through detecting the molecule mutation condition of the lung cancer patient, whether the lung cancer is caused by smoking is backwards derived. Results prove a fact that the F-score method can realize matching between a predicting result and a sample smoke exposure history.

Description

technical field [0001] The invention relates to a method for evaluating tobacco exposure, in particular to a method for quantitatively evaluating the degree of molecular mutation caused by tobacco. Background technique [0002] Tobacco exposure (cigarettes, cigars, pipes, etc.) is the number one risk factor for lung cancer. About 80% to 90% of lung cancers in the United States are related to smoking. Smokers are about 15-30 times more likely to develop or die from lung cancer than non-smokers. The risk of lung cancer in ex-smokers is lower than that of continuous smokers but higher than that of never smokers. [0003] Tobacco exposure causes genetic changes in genes, and increases in somatic mutations (number and type) increase cancer risk, with an estimated 150 mutations per lung cell per year associated with smoking a pack of cigarettes per day. One of the major molecular alterations is an increase in tumor mutational burden (TMB), the tumor mutational burden of three co...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B20/50G16B40/00
CPCG16B20/50G16B40/00
Inventor 宋凯仇哲炜何奇恩
Owner TIANJIN UNIV
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