Radiotherapy sensitive marker gene screening method for balancing clinical confounding factors

Abstract

The method is characterized in that data of patients with malignant tumors are divided into clinical factors and pre-radiation gene expression profile data, ie, gene sets; a regression model of the clinical factors is constructed based on whether drugs are used or not for clinical factor data, and the clinical factors PS of each sample are calculated; t-test tests of two independent samples are performed based on radiotherapy sensitivity or tolerance groups, and a subset of differentially expressed genes with P less than 0.1 is screened out; the PS is included as a fixed independent variable,the expression amount of each gene of remaining genes included in the gene subset is taken as an independent variable, a regression model taking the radiotherapy sensitivity or tolerance as the outcome is constructed, the area AUC under a curve is calculated, and the gene expression amount with the largest AUC is selected and included to the regression model till loop termination is realized to form a multi-element regression model when the AUC of the regression model reaches the largest; the genes included in the multi-element regression model constitute radiosensitive sensitivity marker genes; based on the multi-element regression model, a dependent variable or its reciprocal is taken as the patient radiotherapy sensitivity score to predict whether a patient is sensitive to radiotherapywith a certain cutoff value.

Description

technical field [0001] The invention relates to a method for screening radiotherapy sensitivity marker genes based on gene expression profiles of clinical samples, and in particular proposes a screening method for balancing clinical confounding factors. Background technique [0002] Surgery, chemotherapy, and radiotherapy are the three traditional methods for the treatment of malignant tumors. With the development of omics technology, the treatment of malignant tumors has gradually entered the era of precision medicine. The development of radiation oncology is currently at such an inflection point that the eyes of molecular biology and genetics can be more accurately targeted. In recent years, individualized precision radiotherapy models based on genomics models have been gradually developed and applied. [0003] At present, most of the methods to find the main genes that affect radiosensitivity are through cell in vitro experiments combined with gene expression profiling....

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Problems solved by technology

In particular, the treatment of tumors is often comprehensive treatment, and radiotherapy is often combined with chemotherapy or molecular targeted drug therapy, so other treatment factors also greatly interfere with the evaluation of radiotherapy efficacy

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