Application of hds in predicting the prognosis of patients with gastric cancer, guiding postoperative adjuvant chemotherapy and predicting the efficacy of immunotherapy

A gastric cancer and PD-L1 technology, applied in the field of biomedicine, can solve problems such as difficult to precisely control TME changes

Active Publication Date: 2022-04-15
PEOPLES HOSPITAL PEKING UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, different types of HDACs are heterogeneous in regulating TME cell infiltration levels, and it is difficult for a single molecule or class of molecular targeted inhibitors to precisely control changes in the TME

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
  • Application of hds in predicting the prognosis of patients with gastric cancer, guiding postoperative adjuvant chemotherapy and predicting the efficacy of immunotherapy
  • Application of hds in predicting the prognosis of patients with gastric cancer, guiding postoperative adjuvant chemotherapy and predicting the efficacy of immunotherapy
  • Application of hds in predicting the prognosis of patients with gastric cancer, guiding postoperative adjuvant chemotherapy and predicting the efficacy of immunotherapy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0104] Example 1 Calculation of histone deacetylase score (histone deacetylase score, HDS)

[0105] NMF cluster analysis was performed on the HDAC expression profiles of the ACRG cohort (also known as the GSE62254 cohort, which contains a large amount of complete clinical information), one of the largest datasets in GEO. It can be divided into three stable isoforms (HDAC clusters A, B and C) ( figure 1 ). The Limma software package was used to identify significantly differentially expressed genes between different HDAC clusters, P 1, and the high expression of this type of gene indicated poor prognosis, and this type of gene was defined as type B gene. Based on the expression of the above 103 genes, an HDS was constructed using principal component analysis (PCA) to quantify the score of each patient, and the first principal component (principal component 1) was used as the feature score. Use a method, such as GGI to define:

[0106] HDS=

[0107] PC1i represents the fea...

Embodiment 2

[0113] Example 2 Correlation analysis between HDS and prognosis of gastric cancer

[0114] Gastric cancer samples in the ACRG cohort were divided into high HDS group and low HDS group according to the median, and the median was 0.08. The results showed that the high HDS group had a longer survival time than the low HDS group ( figure 2 in A).

[0115] Gastric cancer samples in the TCGA cohort were divided into high HDS group and low HDS group according to the median, with a median of 0.78. The results showed that the prognosis of low HDS was worse than that of high HDS ( figure 2 in B).

[0116] Analyzing the prognosis of high HDS and low HDS patients in different GEO cohorts, gastric cancer samples were divided into high HDS group and low HDS group according to the median, the median of GSE1545 was 0.65, the median of GSE34942 was 0.75, and the median of GSE57303 was 0.69GSE84437 The median is 0.106 ( image 3 ).

[0117] The above results indicated that HDS is reliable...

Embodiment 3

[0118] Example 3 Correlation analysis between HDS and the effect of immunotherapy in patients with gastric cancer

[0119] To elucidate the relationship between HDS and TME, the expression of HDS in six gastric cancer cohorts (TCGA-STAD, GSE15459, GSE34942, GSE57303, GSE62254, and GSE84437) was analyzed in relation to antigen presentation-related molecules, co-stimulatory molecules, co-inhibitory molecules, and angiogenesis Molecular correlations. It was found that HDS was positively correlated with the expression of most antigen-presenting molecules ( Figure 4 ), suggesting that the antigen presentation ability of patients with high HDS is significantly higher than that of patients with low HDS, and their ability to recognize and kill tumor cells in vivo is stronger. Further analysis found that HDS was positively correlated with the expression of co-stimulatory and co-inhibitory molecules ( Figure 4 ), suggesting that patients with high HDS have higher immunogenicity, but...

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 discloses the application of HDS in predicting the prognosis of gastric cancer patients, guiding postoperative adjuvant chemotherapy and predicting the curative effect of immunotherapy. The present invention screens and obtains 103 genes related to the prognosis of gastric cancer, constructs the HDS score based on the PCA method, and the analysis results prove that the gastric cancer patients in the high HDS group have a longer survival time than the low HDS group; gastric cancer patients with high HDS are more suitable for the use of immune Treatment; patients with stage II low-HDS gastric cancer benefited more from postoperative chemotherapy than those with high-HDS gastric cancer. The HDS evaluation system of the present invention provides a new method for predicting the prognosis of gastric cancer and selecting postoperative adjuvant chemotherapy and immunotherapy, and has good clinical application prospects.

Description

technical field [0001] The invention belongs to the field of biomedicine and relates to the application of HDS in predicting the prognosis of gastric cancer patients, guiding postoperative adjuvant chemotherapy and predicting the curative effect of immunotherapy. Background technique [0002] Gastric cancer is a common malignant tumor of the digestive tract. According to the 2020 global cancer statistics, the morbidity and mortality of gastric cancer have ranked fifth and fourth among malignant tumors, causing a huge economic burden to the society. Current treatments for gastric cancer include surgery combined with radiotherapy, chemotherapy, or targeted drug therapy. Although the prognosis of patients is gradually improving, the results are still not satisfactory. Therefore, in-depth exploration of the factors affecting the treatment and prognosis of gastric cancer and the development of new clinical treatment strategies are the primary tasks to improve the prognosis of g...

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 Patents(China)
IPC IPC(8): C12Q1/6886G16B30/00G16B40/00
CPCC12Q1/6886G16B30/00G16B40/00C12Q2600/118C12Q2600/158C12Q2600/106
Inventor 申占龙林易霖叶颖江王杉
Owner PEOPLES HOSPITAL PEKING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products