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

A target for predicting the sensitivity of small cell lung cancer patients to chemotherapy drugs and its application

A technology for small cell lung cancer and chemotherapeutic drugs, applied in biochemical equipment and methods, microbial measurement/inspection, etc., can solve non-existent problems, achieve low cost, fast and convenient detection

Active Publication Date: 2021-08-10
ZHUJIANG HOSPITAL SOUTHERN MEDICAL UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] How to better predict the sensitivity of small cell lung cancer patients to chemotherapy drugs, so as to provide support for clinicians to quickly and accurately understand the efficacy of small cell lung cancer patients on chemotherapy drugs, and to adopt more individualized prevention and treatment programs in a timely manner, there is no effective solution yet. method

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
  • A target for predicting the sensitivity of small cell lung cancer patients to chemotherapy drugs and its application
  • A target for predicting the sensitivity of small cell lung cancer patients to chemotherapy drugs and its application
  • A target for predicting the sensitivity of small cell lung cancer patients to chemotherapy drugs and its application

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] 1. Screening of long non-coding RNAs associated with drug resistance in small cell lung cancer cells using gene chips

[0051] method:

[0052] (1) Cell culture Small cell lung cancer cells H69 and drug-resistant cells H69AR were purchased from The American TypeCulture Collection (ATCC) in the United States, using RPMI-1640 culture medium, and the cells were placed at 37 ° C, 5% CO 2 cultured in an incubator.

[0053] (2) RNA extraction Total RNA was extracted according to Trizol instructions, the main steps are as follows: H69 and H69AR cells (1×10 7 ), add 1ml Trizol, add chloroform at a ratio of 0.2ml per 1ml Trizol solution, cover the centrifuge tube tightly, shake the centrifuge tube vigorously by hand for 15 seconds; transfer the upper layer water phase to a new centrifuge tube, add 0.5ml per ml Trizol solution Proportion of isopropanol Add isopropanol, stand at room temperature for 10 minutes, and centrifuge for 10 minutes (12000g / min). Discard the supernatant...

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 target point and application for predicting the sensitivity of small cell lung cancer patients to chemotherapeutic drugs. The present invention verifies the long-chain non-coding RNA related to the drug resistance of small cell lung cancer cells screened out, and then verifies it by RT-qPCR method, and screens out the molecular marker composed of HOTTIP and TUG1. Animal experiments in nude mice confirmed that HOTTIP and TUG1 can promote the growth of SCLC and increase the sensitivity of cells to SCLC chemotherapeutic drugs. Through ROC curve analysis, the present invention finds that HOTTIP and TUG1 markers have high sensitivity and specificity for predicting the sensitivity of chemotherapeutic drugs in patients with small cell lung cancer. Using the invention to predict the sensitivity of small cell lung cancer chemotherapeutic drugs has a simple method, short time and high efficiency, can stratify SCLC patients, and provides a basis for precise treatment of small cell lung cancer.

Description

technical field [0001] The invention belongs to the technical field of medical prediction and diagnosis. The invention relates to a kit for predicting the sensitivity of chemotherapeutic drugs for small cell lung cancer, in particular to a combined kit containing long-chain non-coding RNA HOTTIP and TUG1 and its use in predicting small cell lung cancer. Applications in Chemotherapy Drug Sensitivity. Background technique [0002] Long noncoding RNA (long noncoding RNA, lncRNA) is a new type of gene expression regulator with a length greater than 200 nucleotides. Recent studies have shown that lncRNA plays a role in the epigenetic level, transcriptional level and post-transcriptional level in the form of RNA. Regulate the expression of genes horizontally, widely participate in the regulation of individual growth and development, cell apoptosis, proliferation, differentiation and other life activities, and also participate in pathological processes such as human cancer, cardiov...

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): C12Q1/6886
Inventor 郭琳琅孙艳芹牛玉春郭琳珽张健朱伟良王琼瑶
Owner ZHUJIANG HOSPITAL SOUTHERN MEDICAL UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com