SBIR/STTR Research Award

Multimarker Detection of Breast Metastases in PET Nodes

Award identifier 7c95b608ea3bdb3162f3eec18bffba0fa7f1c6f1b74776841239ec73ad339f87Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$99,860

Program and phase

SBIR · Phase I

Award year

2003

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
BRT LABORATORIES, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant) In 2001, it was estimated that 192,000 women would be diagnosed with invasive breast cancer; 40,600 women would die from it. Current staging modalities for breast cancer are invasive, expensive, may miss metastatic cells, and limit the ability of clinicians to tailor therapies to individual patients. Our hypothesis is that multi-marker real-time RT-PCR detection of breast cancer cells in paraffin embedded lymph nodes of breast cancer patients will provide a sensitive, cost effective, and widely applicable method for the detection of breast cancer metastases. We propose to accomplish this by: (1) establishing an isolation method for the recovery of RNA obtained from nodes embedded in paraffin, (2) confirming that a novel panel of seven breast cancer-associated RNA can be detected from paraffin embedded tissue (PET), and (3) validating the commercial application of multi-marker real-time RT-PCR through a feasibility study using PET samples from diverse sources. The long term goal of this study is to develop an innovative diagnostic test, with broad based applications and marketability, with the potential to reduce morbidity and mortality in women with breast cancer. In addition, the platform of multi-markers using real-time RT-PCR can be expanded to other cancers.

Technology keywords

Not reported

Agency intelligence

Department of Health and Human Services

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