Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Immune gene prognosis model for predicting hepatocellular carcinoma tumor immune infiltration and postoperative survival time

A technology of hepatocellular carcinoma and survival time, which is applied in the field of biomedicine, can solve problems that need to be developed and researched, and achieve the effect of improving the value of prognosis evaluation, prediction effect and postoperative survival rate

Active Publication Date: 2020-12-01
上海顿慧医疗科技发展有限公司
View PDF5 Cites 37 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

More and more studies have shown that the prognostic model based on immune-related genes can accurately assess the survival risk of cancer patients, but in hepatocellular carcinoma, based on immune-related genes, it can reflect the degree of immune infiltration in the tumor and predict the survival of patients after surgery. Prognostic models of risk remain to be developed and studied

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Immune gene prognosis model for predicting hepatocellular carcinoma tumor immune infiltration and postoperative survival time
  • Immune gene prognosis model for predicting hepatocellular carcinoma tumor immune infiltration and postoperative survival time
  • Immune gene prognosis model for predicting hepatocellular carcinoma tumor immune infiltration and postoperative survival time

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0043] 1. Research object:

[0044] The subjects of this case study were 471 postoperative tumor tissues of patients with hepatocellular carcinoma. The inclusion and exclusion criteria were as follows:

[0045] (1) Pathologically diagnosed as hepatocellular carcinoma;

[0046] (2) Never received cancer treatment before operation;

[0047] (3) No history of other tumors;

[0048] (4) Complete clinicopathological data and follow-up information.

[0049] 2. Research methods:

[0050] (1) 471 postoperative tumor tissue samples from patients with hepatocellular carcinoma were randomly divided into a training set and a validation set, with 250 samples in the training set and 221 samples in the validation set. The RNA of tumor tissue was extracted with TRIzol reagent, the purity of RNA was detected with nanospectrophotometer, and the integrity of RNA was detected with Agilent 2100 bioanalyzer, followed by library construction and transcriptome Illumina sequencing.

[0051] (2) D...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an immune gene prognosis model for predicting hepatocellular carcinoma tumor immune infiltration and postoperative survival time, and belongs to the technical field of biological medicines. The model can be used for evaluating the infiltration degree of immune cells in a tumor in clinical practice by detecting the expression levels of 22 specific immune related genes of ahepatocellular carcinoma patient, so that the model can be used for predicting hepatocellular carcinoma tumor immune infiltration in clinical practice and improve the prediction capability of the liver cancer immunotherapy response. The model can be used for judging the postoperative overall survival risk of a patient and guiding the formulation of a postoperative treatment strategy, and the corresponding microarray chip kit can realize the standardization and convenience of detection. Meanwhile, the immune gene prognosis model provided by the invention can increase the prediction accuracy andthe clinical net income of a hepatocellular carcinoma TNM staging system on the total survival time of three years and five years after operation. As a molecular marker for objectively and accuratelyevaluating the tumor immune state and poor prognosis risk of hepatocellular carcinoma, the model can realize accurate implementation of hepatocellular carcinoma immunotherapy and accurate prognosis prediction.

Description

technical field [0001] The invention relates to an immune gene prognostic model for predicting tumor immune infiltration and postoperative survival time of hepatocellular carcinoma, belonging to the technical field of biomedicine. Background technique [0002] Due to the associated chronic liver disease epidemic caused by viral infections and metabolic disturbances, the global incidence of HCC continues to increase, reaching 2%-3% per year, the fastest growing rate among all tumors. According to the latest national cancer statistics from the National Cancer Center of my country, the incidence of liver cancer ranks fourth, accounting for the fifth cause of cancer-related deaths, with approximately 326,000 deaths per year. Frequent recurrence after curative treatment in early patients and limited efficacy after systemic treatment in advanced patients lead to poor prognosis of HCC, with a 5-year survival rate of only 18%. However, there is currently a lack of effective and rel...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886G16B40/00G16H50/20
CPCC12Q1/6886G16B40/00G16H50/20C12Q2600/118C12Q2600/158
Inventor 任宁周晨浩沈英皓翁佳雷陈万勇孙嘉磊周强尹毅锐
Owner 上海顿慧医疗科技发展有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products