HIGHLY SPECIFIC DIAGNOSTIC CLASSIFIERS OF ENDOMETRIOSIS

Tech ID: 24765 / UC Case 2013-003-0

Invention Novelty

This invention provides a non-invasive method to detect endometriosis in women through the use of novel diagnostic biomarkers that detect the presence, absence, and/or severity of endometriosis.

Value Proposition

Endometriosis is a progressive inflammatory disorder characterized by pelvic pain and infertility. Currently, the only way to diagnose pelvic endometriosis is by laparoscopy or laparotomy, both are invasive surgical procedures. Additionally the average time from pelvic pain onset to surgical diagnosis is 6.7-11 years. Thus, there is an unmet medical need for a rapid, non-invasive diagnostic test not only to identify endometriosis but also to determine the stage/severity of the disease.

This novel invention provides the following advantages:

  • Biomarkers are specific to endometriosis
  • Less invasive detection methods involving gene expression profiling of patient endometrial tissue obtained as an office procedure
  • Can detect and stage pelvic endometriosis with 90-100% accuracy with molecular classifiers
  • Can guide treatment options for patients by determining the stage/severity of disease

 

Technology Description

Scientists at the University of California, San Francisco have developed novel diagnostic classifiers for the detection of endometriosis in women. They compared the transcriptome of endometrium in women with and without minimal-mild and moderate-severe stage endometriosis using bioinformatic classifier analysis. The comparison found specific sets of genes that were dysregulated in women with endometriosis at different phases of the menstrual cycle including proliferative, early secretory, and mid secretory, which allowed identification of subjects with endometriosis. Their diagnostic classifiers are highly accurate (90-100%) and use a series of sequential binary decisions that are based on specific gene sets to distinguish between disease and healthy states and the stages of disease.

 

Application

- Non-invasive diagnostic test for endometriosis

- Diagnostic tool to determine the severity or stage of endometriosis

- Used with gene expression technologies (microarray, qPCR), potential development for proteomic and immune-based technologies

- Development of therapeutics to these molecular targets for treatment of endometriosis

 

Looking for Partners

To develop and commercialize this technology as an effective diagnostic for endometriosis and other uterine/pelvic disorders.

Stage of Development

Preclinical

Related Materials

Data Availability

Under NDA/CDA

Patent Status

Country Type Number Dated Case
United States Of America Issued Patent 9,175,349 11/03/2015 2007-095
United States Of America Issued Patent 8,247,174 08/21/2012 2007-095
United States Of America Issued Patent 7,871,778 01/18/2011 2007-095
United States Of America Published Application 20190233893 08/01/2019 2007-095
United States Of America Published Application 20160251718 09/01/2016 2013-003
 

Contact

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Inventors

  • Giudice, Linda C.
  • Irwin, Juan C.
  • Tamaresis, John S.

Other Information

Keywords

Endometriosis, Biomarker, Diagnostics, Prognostic, Fertility, Women, Pelvic Pain

Categorized As