RNA-based Ovarian Cancer Diagnostic
RNA-based Ovarian Cancer Diagnostic
mRNA transcripts that are selectively expressed in ovarian tumors and may be used to detect the presence of an ovarian tumor in a Pap smear and/or endometrial biopsy.
San Diego, CA, United States
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Background

Ovarian cancer is the fifth leading cause of cancer death among women in the US and the poor prognosis is related to the reality that the disease is not usually detected until a patient is in the advanced stages of the disease. Because there is an unmet need, some markers (e.g., Cancer Antigen 125 (CA125) and human epididymis protein 4 (HE4)) are being investigated for their ability to monitor ovarian cancer but there is no available test that has proven to be effective for early detection of the disease. There remains a need for predictive biomarkers that are able to reliably detect disease in the asymptomatic phase.


Technology Description

UC Inventors have discovered a number of mRNA transcripts that are selectively expressed in ovarian tumors and may be used to detect the presence of an ovarian tumor in a Pap smear and/or endometrial biopsy.


Applications

Early detection of ovarian cancer


Advantages

Advantages of this approach include the ability to:

  • detect ovarian cancer in the asymptomatic phase of the disease;
  • use tissue samples that are routinely collected in a gynecologic exam; and
  • detect at high sensitivity (a few tumor cells).

 

State Of Development

A number of ovarian tumor-specific transcripts have been identified and relevant primers developed. Work is continuing to identify additional tumor-specific transcripts and to optimize primers for detection in the relevant tissues.


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