adaptation-semiautomated-circulating-tumor-cell-ctc-assays-for

Adaptation of Semiautomated Circulating Tumor Cell (CTC) Assays for Clinical and Preclinical Research Applications

The majority of cancer-related deaths occur subsequent to the development of metastatic disease. This highly lethal disease stage is associated with the ...

London Health Sciences Centre

Western University

The majority of cancer-related deaths are as a result of metastatic disease, which has been correlated with the presence of circulating tumor cells (CTCs) in the bloodstream. Therefore the ability to reliably enumerate and characterize these cells could provide useful information about the biology of the metastatic cascade; facilitate patient prognosis; act as a marker of therapeutic response; and/or aid in novel anticancer drug development. Several different techniques have been utilized for the enrichment and detection of these rare CTCs, each having their own unique advantages and disadvantages. In this chapter we will briefly discuss each of these techniques as well as the pros and cons of each approach. In particular, we will provide a comprehensive examination of two image cytometry approaches for CTC analysis that are in routine use in our laboratory; the iCys Laser Scanning Cytometer (Compucyte, Cambridge, MA), and the CellSearchÂ® system (Veridex, North Raritan, NJ). The ability to detect, enumerate, and characterize CTCs is an important tool for the study of the metastatic cascade and the improved clinical management of cancer patients. These rare cells could shed light on the basic biology behind this highly lethal process and ultimately change current patient treatment guidelines.

Image cytometry analysis of circulating tumor cells.

Early detection of circulating tumor cells (CTCs) offers the possibility of improved outcome for patients with head and neck squamous cell cancer (HNSCC).

Detection of circulating tumor cells in advanced head and neck cancer using the CellSearch system.

Within 10 years of radical prostatectomy (RP), up to 30% of prostate cancer (PCa) patients will have a rise in prostate-specific antigen (PSA), requiring radiation therapy (RT). However, with current technology, distinction between local and distant recurrent PCa is not possible. This lack of an accurate test constrains the decision whether to offer systemic or local treatment. We hypothesise tests for detecting circulating tumour cells (CTCs) within the blood may assist with clinical decision-making and in this pilot study we investigated whether CTCs could be detected in this patient population using the CellSearch® system.

Circulating tumour cells in prostate cancer patients receiving salvage radiotherapy.

The majority of cancer-related deaths result from metastasis, which has been associated with the presence of circulating tumor cells (CTCs). It has been shown that CTC cut-off values exist that predict for poorer overall survival in metastatic breast (≥5), prostate (≥5), and colorectal (≥3) cancer based on assessment of 7.5 ml of blood. Development of the CellSearch® system (Veridex) has allowed for sensitive enumeration of CTCs. In the current study, protocols were developed and optimized for use with the CellSearch system to characterize CTCs with respect to user-defined protein markers of interest in human blood samples, including the cancer stem cell marker CD44 and the apoptosis marker M-30. Flow cytometry (FCM) experiments were initially carried out to assess expression of CD44 and M-30 on MDA-MB-468 human tumor cells. Human blood samples were then spiked with MDA-MB-468 cells and processed with the appropriate antibody (CD44/M-30) on the CellSearch. Detailed optimization of CD44 was carried out on the CellSearch using various antibody concentrations, exposure times, and cell lines with varying CD44 expression. Troubleshooting experiments were undertaken to explain observed discrepancies between FCM and CellSearch results for the M-30 marker. After extensive optimization, the best CD44/M-30 concentrations and exposure times were determined to be 1.5/3.5 μg/ml and 0.2/0.8 s, respectively. The percentage of CD44(+) tumor cells was 99.5 ± 0.39% by FCM and 98.8 ± 0.51% by the CellSearch system. The percentage of M-30(+) tumor cells following paclitaxel treatment was 17.6 ± 1.18% by FCM and 10.9 ± 2.41% by CellSearch. Proper optimization of the CD44 marker was achieved; however, M-30 does not appear to be a suitable marker for use in this platform. Taken together, the current study provides a detailed description of the process of user-defined protein marker development and optimization using the CellSearch, and will be an important resource for the future development of protein marker assays by users of this platform.

Lori E. Lowes

London Regional Cancer Program

London Health Sciences Centre

Adaptation of Semiautomated Circulating Tumor Cell (CTC) Assays for Clinical and Preclinical Research Applications

Lori E. Lowes

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}London Regional Cancer Program

London Health Sciences Centre

Adaptation of Semiautomated Circulating Tumor Cell (CTC) Assays for Clinical and Preclinical Research Applications

London Regional Cancer Program