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

Small molecule marker for predicting brain metastasis of lung cancer and application to diagnosis

A technology for brain metastases and lung cancer, applied in the field of precise diagnosis, can solve problems such as difficult acceptance by patients, detection of small lesions, difficulty in obtaining materials, etc.

Active Publication Date: 2018-01-16
浙江高美生物科技有限公司
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The gold standard for the diagnosis of lung cancer brain metastases is pathological examination. This method has high specificity, but it is traumatic and difficult for patients to accept, and it is difficult to obtain materials
Imaging examination is currently the main method for the diagnosis of brain metastases from lung cancer, but the cost is high, and it is difficult to detect small lesions, which cannot meet the requirements for early diagnosis of brain metastases from lung 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
  • Small molecule marker for predicting brain metastasis of lung cancer and application to diagnosis
  • Small molecule marker for predicting brain metastasis of lung cancer and application to diagnosis
  • Small molecule marker for predicting brain metastasis of lung cancer and application to diagnosis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0019] Example 1: Accuracy of Small Molecular Markers in Predicting Brain Metastasis of Lung Cancer

[0020] 1. Materials and methods

[0021] 1. Research object

[0022] The cases of lung cancer brain metastases group and lung cancer non-brain metastases group were all patients hospitalized in Nanjing Drum Tower Hospital from March 2015 to December 2016. There were 68 cases in the lung cancer brain metastases group, including 36 males, 32 females, and aged 34. -69 years old, with an average age of 41 years; there were 100 cases in the lung cancer non-brain metastasis group, including 62 males and 38 females, aged 35-70, with an average age of 43 years. All cases were confirmed clinically and pathologically. Cases in lung cancer brain metastases group and lung cancer non-brain metastases group were randomly divided into two groups, one for training set and the other for validation set. The grouping results are as follows.

[0023]

[0024] 2. Instruments and reagents

...

Embodiment 2

[0051] Embodiment 2: Diagnostic kit

[0052] A diagnostic kit for early prediction of brain metastases from lung cancer, including lysophosphatidylcholine (18:0), 3-hydroxypropionic acid, dihydrocholesterol and L-2-chlorophenylalanine, lysophosphatidylcholine Base (18:0), 3-hydroxypropionic acid, and dihydrocholesterol were used as reference substances to qualitatively locate the target compound in the serum to be tested, and L-2-chlorophenylalanine was used as an internal standard to add to the serum sample to be tested for Relative quantification of 3-hydroxypropionic acid, lysophosphatidylcholine (18:0), and dihydrocholesterol.

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 small molecule marker for predicting brain metastasis of lung cancer and application to diagnosis, and discloses a composition for predicting the brain metastasis of the lungcancer. The small molecule marker at least comprises lysophosphatidylcholine (18:0), and preferably comprises lysophosphatidylcholine (18:0), 3-hydroxypropanoic acid and dihydrocholesterol, wherein the lysophosphatidylcholine (18:0), the 3-hydroxypropanoic acid or the dihydrocholesterol is used for singly diagnosing that the AUC (area under the curve) of the brain metastasis of the lung cancer isbetween 0.7 and 0.9, and the accuracy is medium; lysophosphatidylcholine (18:0), the 3-hydroxypropanoic acid and the dihydrocholesterol are used for jointly diagnosing that the AUC of the brain metastasis of the lung cancer and the non-brain metastasis of the lung caner is 0.928, and the accuracy is higher; the sensitivity and specificity at the optimum diagnosis critical value respectively reach0.9 or above. After centralized further verifying by independent samples, the small molecule marker has the advantages that the accuracy of the lysophosphatidylcholine (18:0), the 3-hydroxypropanoicacid or the dihydrocholesterol for jointly diganosing the brain metastasis of the lung cancer and the non-brain metastasis of the lung caner reaches 89.3%, and the clinical value is higher.

Description

technical field [0001] The invention belongs to the field of precise diagnosis and relates to a diagnostic marker and a diagnostic kit, in particular to a small molecular marker for predicting brain metastasis of lung cancer and its application in diagnosis. Background technique [0002] Lung cancer is a common malignant tumor. Its morbidity and mortality rank first among all kinds of malignant tumors, and it continues to rise. In the late stage of lung cancer, metastases to different organs can occur, which can cause corresponding symptoms, often bring great pain to patients, and even threaten their lives. Among them, brain metastases from lung cancer are very common. Brain metastases from lung cancer are extremely occult, without any symptoms in the early stage, and the best time window for treatment has been missed by the time of pathological diagnosis. [0003] The gold standard for the diagnosis of brain metastases from lung cancer is pathological examination. This me...

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
IPC IPC(8): G01N30/02
Inventor 王玉梅董明淑曹阳吴桐
Owner 浙江高美生物科技有限公司
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

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