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

Biomarkers for ovarian cancer

A biomarker and ovarian cancer technology, applied in the field of biomarkers, can solve the problems of ineffectiveness and failure to improve the early detection rate or survival of ovarian cancer

Inactive Publication Date: 2016-04-27
THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIV
View PDF24 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Results from the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial (PLCO) provide conclusive evidence that the current standard of care with a blood test for CA-125 protein and transvaginal ultrasound does not improve early detection or survival of ovarian cancer
Several new markers for early detection have emerged in recent years, but none have proven effective so far

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
  • Biomarkers for ovarian cancer
  • Biomarkers for ovarian cancer
  • Biomarkers for ovarian cancer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0086] Materials and Methods

[0087]Data collection, preprocessing and normalization. Gene expression data from 7 human ovarian cancer studies were downloaded from NCBIGEO (Table 2). The dataset was filtered to include only normal and high-grade serous ovarian cancer samples. All datasets were individually normalized using gcRMA.

[0088] meta-analysis. Two methods of meta-analysis were performed on standardized data. The first method combines the effect sizes from each dataset into meta-effect sizes to estimate the amount of change in expression across all datasets. For each gene in each data set, effect sizes were calculated using Hedges' adjusted g. If more than one probe matches a gene, the effect size for each gene is summarized using the fixed-effects inverse variance model. Then, study-specific effect sizes were combined using the random-effects inverse variance technique to obtain mixed effect sizes and their standard errors. From the ratio of the mixed effect ...

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

Biomarkers and biomarker panels are provided for making ovarian cancer assessments, for example, diagnosing an ovarian cancer, predicting responsiveness of an ovarian cancer to an ovarian cancer therapy, and monitoring an ovarian cancer. A patient may further be treated in accordance with the classification. Also provided are methods, reagents, devices and kits for the use of these biomarkers in making ovarian cancer assessments.

Description

technical field [0001] The present invention relates to biomarkers for ovarian cancer assessment. Background technique [0002] Ovarian cancer is the leading cause of gynecological cancer death and the fifth leading cause of cancer death among North American women, largely due to a lack of early symptoms or effective screening. Early detection of ovarian cancer increases the 5-year survival rate from less than 30% to 70%-90%, but less than 20% of cases are diagnosed early. Results from the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial (PLCO) provide conclusive evidence that the current standard of care with a blood test for CA-125 protein and transvaginal ultrasound does not improve early detection or survival of ovarian cancer . Several new markers for early detection have appeared in recent years, but none of them have been proven effective so far. The present invention addresses these problems. Summary of the invention [0003] Biomarkers and biomark...

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): G01N33/574
CPCC12Q1/6886C12Y207/11001C12Y306/04G01N33/57449G01N2800/52G01N2333/91205G01N2333/914
Inventor A·J·布特L·A·绍博P·卡特里B·X·林
Owner THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR 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