Massively Parallel Rogue Cell Detection Using Serial Time-Encoded Amplified Microscopy of Inertially Ordered Cells in High Throughput Flow
Abstract
The identification of cancer cells (CTCs) in patient blood has shown to be useful for predicting patient prognosis after primary treatment, and small amounts of CTCs have also been observed in early stage breast cancers. Current gold standard techniques to isolate CTCs based on immunomagnetic capture, however, have low throughput leading to high statistical uncertainty in early stage disease when CTC numbers are very low (< 1 cell/mL). Revolutionary new techniques are required to screen statistically significant larger volumes of blood for CTCs in a cost effective manner. This will critically enable applications in early detection of occult breast cancer not detectable by standard mammography and ultrasonography and dramatically reduce breast cancer related deaths. During this performance period, we successful completed the development of the STEAM flow analyzer and demonstrated real-time detection of rare MCF7 cells in lysed blood with the analyzer with sensitivity of 75% and a false positive rate of 1 in 1,000,000 white blood cells.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 2011
- Accession Number
- ADA566873
Entities
People
- Bahram Jalali
- Dino Di Carlo
Organizations
- University of California, Los Angeles