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

Marker for predicting curative effect of tumor chemotherapy combined with immunotherapy and application thereof

An immunotherapy and marker technology, applied in the field of biomedicine, can solve problems such as difference in effect, and achieve the effect of low price, high accuracy and small tissue sample size

Pending Publication Date: 2022-06-14
SICHUAN CANCER HOSPITAL
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the effect of treatment varies greatly among different patients, and there is currently no tool that can effectively predict the efficacy of chemotherapy combined with immunotherapy in patients with esophageal cancer

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
  • Marker for predicting curative effect of tumor chemotherapy combined with immunotherapy and application thereof
  • Marker for predicting curative effect of tumor chemotherapy combined with immunotherapy and application thereof
  • Marker for predicting curative effect of tumor chemotherapy combined with immunotherapy and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] Example 1: Esophageal cancer paracancer and a large number of microorganisms in tumor tissue

[0023] Surgical removal of esophageal cancer specimens using sterile cryopreservation tubes and preservation under sterile conditions. Prepared frozen sections after fixation at the time of use, using RNAscope 16sRNA probes, and RNAscope® 1X target repair reagents were used in the HybEZ ™ hybridization furnace to probe microorganisms in esophageal cancer paracancer and tumor tissues. At the same time, immunohistochemical staining was used to stain the tissues in the same part with LPS and LTA, and the results were as follows Figure 1 As shown, there are a large number of microbial 16sRNA in the paracancer and tumor tissues of esophageal cancer, as well as the expression of LPS and LTA. Microbial 16sRNA was measured for paracancer and tumor tissues of esophageal cancer, with results such as Figure 2 As shown:

[0024] from Figure 2 It can be seen that a large number of microorganis...

Embodiment 2

[0026] Example 2: There are significant differences in microorganisms within the tissue of patients who respond to treatment or do not respond

[0027] The 16sRNA results of microorganisms in tumor tissues of patients with esophageal cancer showed that Figure 4At the gate level, the composition of microorganisms in the responding and non-responding groups was analyzed, and there were significant differences in microorganisms within the tumor tissue compared with patients who responded to treatment and patients who did not respond, such as Figure 3 shown; Figure 5 From the more subtle genus level analysis, it was found that the reactive and non-reactive groups, Streptococcus spp., Clostridium spp., Streptococcus digestion, Micromonas spp., Carycete spp., etc. were microorganisms with significant differences.

[0028] The above data can prove that there are significant differences in microorganisms within the tumor tissue of patients who respond to or do not respond to treatment.

Embodiment 3

[0029] Example 3: A variety of microorganisms have the effect of predicting the therapeutic efficacy of patients

[0030] The above data have been concluded that the difference between the microorganisms in the immunotherapy response group and the non-response group is related to the enrichment of T cells, thus establishing a relationship with the effect of immune combination chemotherapy. Further analysis of the correlation between five bacteria with predictive efficacy (genus level) and efficacy of immune combination chemotherapy treatment is further analyzed by Pearson correlation, such as Figure 6 The results shown show that streptococcus was positively correlated with CD8+ T cell infiltration and infiltration with CD4+T and FOXP3+T cells, while Clostridium spp., Streptococcus digestion, Micromonas spp. and Carycea spp. were negatively correlated with CD8+ T cell infiltration and positively correlated with CD4+T and FOXP3+T cell infiltration.

[0031] Then, the content of vari...

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 a marker for predicting the curative effect of tumor chemotherapy combined with immunotherapy and application of the marker, and belongs to the technical field of biological medicine, the marker is at least one microorganism selected from streptococcus, fusobacterium, peptostreptococcus, micromonas and carbodiimide in tumor tissue; according to the present invention, the corresponding microorganism expression condition of the tumor tissue of the patient is detected by using the 16sRNA, and then the main coordinate analysis and the AUC prediction titer calculation are performed on the corresponding data to obtain the microorganism variety capable of predicting the chemotherapy-immunotherapy combined treatment effect of the esophageal cancer patient, such that compared with the currently reported tools for predicting the immunotherapy prognosis, such as PD1, PD-L1, and the like, the application has the advantages of higher accuracy, rapidness, convenience, lower price and the like.

Description

Technical field [0001] The present invention relates to the field of biomedical technology, in particular to a microbial as a marker to predict the efficacy of tumor chemotherapy combined with immunotherapy kit and its applications. Background [0002] Esophageal cancer is one of the most common death-related cancers worldwide, and its mortality rate ranks sixth among cancers. Surgery is the preferred method of treatment for esophageal cancer. Early-stage esophageal cancer can be directly surgically removed, and for some patients who cannot be directly surgically removed, they can be treated with chemotherapy-based combination immunotherapy to give patients the opportunity to operate after shrinking the tumor. However, the effect of treatment varies widely from patient to patient, and there is currently no tool that can effectively predict the efficacy of chemotherapy combined with immunotherapy in patients with esophageal cancer. Therefore, finding an effective solution to pre...

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): C12Q1/689C12Q1/14C12Q1/04C12N15/11C12R1/46C12R1/01
CPCC12Q1/689C12Q1/14C12Q1/04C12Q2600/118C12Q2600/158
Inventor 许川邬红刘千什刘益强
Owner SICHUAN CANCER HOSPITAL
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