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Evaluation gene sets and kits for predicting the prognosis of liver cancer

A kit and gene set technology, applied in the field of evaluating the prognosis of liver cancer patients, can solve the problems of incomplete evaluation of prognosis and long observation time, and achieve the effect of reducing the limitation of mutation frequency and making accurate prediction

Active Publication Date: 2021-11-09
SHANGHAI ORIGIMED CO LTD +1
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  • Claims
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AI Technical Summary

Problems solved by technology

The disadvantage is that the observation time is long, and all events need to be recorded, that is, the death of all patients
However, the occurrence of immune response in the body involves the participation of various immune cells, and the evaluation of prognosis by a single immune gene or a small number of immune cells is not complete

Method used

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  • Evaluation gene sets and kits for predicting the prognosis of liver cancer
  • Evaluation gene sets and kits for predicting the prognosis of liver cancer
  • Evaluation gene sets and kits for predicting the prognosis of liver cancer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] Embodiment 1: Lasso regression method builds a model, obtains the selected characteristic gene set

[0054] Data processing, screening immune genes related to liver cancer prognosis

[0055] Download the gene expression data of hepatocellular carcinoma and clinical data such as patient overall survival time and survival endpoints from The Cancer Genome Atlas (TCGA), including 363 hepatocellular carcinoma samples, and the gene expression data contains 60483 genes. In order to construct a liver cancer prognosis prediction model, 547 immune-related genes were selected from 60483 genes for subsequent screening of gene sets for predicting patient prognosis.

[0056] Construction of Prognostic Model of Liver Cancer

[0057] Taking the clinical stage as a reference, 363 liver cancer patient samples in the TCGA dataset were randomly divided into 80% training set (290 samples) and 20% test set (73 samples). Using the training set samples and 547 immune-related genes, the l...

Embodiment 2

[0073] Example 2: Comparison of the predictive power of selected feature gene sets and random gene sets

[0074] In order to further verify the validity of the evaluation gene set of the selected 62 genes, other 62 genes were randomly selected from 547 genes (except the 62 genes selected above) to form a "random gene set", And compared with the selected "assessment gene set"; see Table 3 for the genes and their weight coefficients of the random gene set.

[0075] Table 3: The 62 genes of the random gene set and their weight coefficients

[0076] .

[0077] With reference to the process described in Example 1, patients are also divided into a training set (80%) and a test set (20%), and each gene in the random gene set in Table 3 and its weight coefficient are used to calculate the test set patients in this random model risk score in . The calculation method of the random gene set risk score is similar to that in Example 1. Calculate the C-index of the training set and th...

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Abstract

The invention relates to a liver cancer prognosis evaluation gene set. Specifically, the present invention uses a gene set composed of 62 specific immune-related genes to predict and evaluate the prognosis of liver cancer patients and provide scientific basis for medical decision-making. The invention also relates to a kit, a computing device and a storage medium for predicting the prognosis of liver cancer.

Description

technical field [0001] The present invention relates to a method for evaluating the prognosis of liver cancer patients using a specific set of immune-related genes. Specifically, the present invention relates to a characteristic gene set of 62 immune-related genes, which can be used to evaluate the prognosis of liver cancer patients and provide scientific basis for medical decision-making. Background technique [0002] As an incurable disease, tumors have very clear treatment goals. After the tumor is diagnosed, patients can live longer through treatment. Liver cancer is one of the most common cancer types in my country, with high morbidity and mortality. Treatment generally adopts surgery, radiotherapy and chemotherapy, and combination therapy of traditional Chinese medicine. For a long time, the recurrence rate and adverse outcome rate of liver cancer are still high, and the 5-year recurrence-free survival rate and overall survival rate are low. Currently available clin...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C12Q1/6886G01N33/574G16B40/00
CPCC12Q1/6886G01N33/57438G01N33/57484G16B40/00C12Q2600/118C12Q2600/158
Inventor 王维锋张欣王丛茂
Owner SHANGHAI ORIGIMED CO LTD
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