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RNA-based Ovarian Cancer Diagnostic

技术优势
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; anddetect at high sensitivity (a few tumor cells).
技术应用
Early detection of ovarian cancer
详细技术说明
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.
*Abstract
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.
*IP Issue Date
Nov 30, 2017
*Principal Investigation

Name: Christian Barrett

Department:


Name: Dennis Carson

Department:


Name: Kelly Frazer

Department:

申请号码
20170342504
其他

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.


Intellectual Property Info

Worldwide rights available; Pending patents available under confidentiality.


Related Materials

Cramer et al., Ovarian cancer biomarker performance in prostate, lung, colorectral, and ovarian cancer screening trial specimens, 2011; Cancer Prev Res (Phila), 4(3):365-74.
Zhu et. al., A framework for evaluating biomarkers for early detection: validation of biomarker panels for ovarian cancer, 2011, Cancer Prev Res (Phila), 4(3):375-83


Tech ID/UC Case

24303/2014-349-0


Related Cases

2014-349-0

国家/地区
美国

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