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

Application of cfDNA in non-invasive diagnosis of early breast cancer

A breast cancer, diagnostic model technology, applied in the field of biomedicine, can solve the problems of low specificity, poor observer consistency, high false-positive biopsy rate, and achieve high sensitivity, high ctDNA enrichment, and reliable results.

Active Publication Date: 2020-11-10
WENZHOU INST UNIV OF CHINESE ACAD OF SCI +3
View PDF0 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although BI-RADS has made the diagnosis of breast diseases more standardized and objective, the common problems in clinical diagnosis are poor inter-observer agreement and a high rate of false positive biopsy (Hu Yue, Yang Yaping, Gu Ran, et al. The effect of age on diagnostic breast ultrasound The impact of PPV on BI-RADS classification 3-5 lesions [J]. Lingnan Modern Clinical Surgery, 2018, 18(6): 644-647; Gupta K, Kumaresan M, Venkatesan B, eta1.Sonographic features of invasive ductal breast carcinomas predictive of malignancy grade[J].Indian J Radiol Imaging,2018,28(1):123-131.)
However, its low specificity has plagued clinicians

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 cfDNA in non-invasive diagnosis of early breast cancer
  • Application of cfDNA in non-invasive diagnosis of early breast cancer
  • Application of cfDNA in non-invasive diagnosis of early breast cancer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0080] 1. Research object

[0081] Select from April 1, 2019 to August 31, 2019 in Cancer Hospital of Chinese Academy of Medical Sciences and Peking Union Medical College Hospital (CHCAMS, n = 160, training set) and Cancer Hospital Affiliated to Harbin Medical University (HMUCH, n = 50, validation set ) 210 cases of BI-RADS4 lesions found by conventional ultrasonography, all patients were female, all patients underwent mammography and ultrasonography, and all patients were confirmed by surgery or biopsy pathological examination. In this study, the age, imaging appearance, pathological features, molecular subtype, stage and serum tumor markers such as carcinoembryonic antigen (CEA) and cancer antigen 15-3 (CA15-3) of the patients in the training set and validation set were compared. Perform phenotypic analysis. Two experienced radiologists at each center interpreted images and classified them according to the fifth edition of the BI-RADS classification. CEA and CA15-3 analyze...

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

Application of cfDNA in non-invasive diagnosis of early breast cancer The present invention discloses an application of cfDNA in non-invasive diagnosis of early breast cancer, a cfDNA marker with relatively high sensitivity and specificity for diagnosing breast cancer and a product for diagnosing breast cancer prepared based on the marker, and at the same time a method for screening cancer markers.

Description

technical field [0001] The invention belongs to the field of biomedicine and relates to the application of cfDNA in the non-invasive diagnosis of early breast cancer. Background technique [0002] Breast cancer is the most common cancer in women and the second leading cause of cancer death in women, after lung cancer. According to the latest statistics from the National Cancer Center, new breast cancer cases in my country are mainly in the age group of 30-59, and it is the leading cause of cancer death in women under the age of 45 (CHEN W, ZHENG R, BAADE P D, et al. Cancer statistics in China, 2015[J ]. CA Cancer J Clin, 2016, 66(2): 115-132.). [0003] The currently recognized gold standard for breast cancer detection is triple evaluation: 1) clinical examination, 2) mammography and / or ultrasonography, and 3) fine-needle aspiration cytology (SALOD Z, SINGH Y. Comparison of the performance of machine learning algorithms in breast cancer screening and detection: Aprotocol[J]...

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): C12Q1/6886C12N15/11G16H50/20G16B40/00
CPCC12Q1/6886G16H50/20G16B40/00C12Q2600/154
Inventor 苏建忠刘嘉琦赵恒强许守平吴南黄宇宽
Owner WENZHOU INST UNIV OF CHINESE ACAD OF SCI
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