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1.
PLoS One ; 11(8): e0158354, 2016.
Article in English | MEDLINE | ID: mdl-27479125

ABSTRACT

BACKGROUND AND METHODS: Circulating tumor cells (CTCs) constitute a useful approach for personalized medicine. Nevertheless, the isolation of these cells remains very challenging because they rarely circulate in the blood. Another current problem is the cancer-specific characterization of these cells, which requires a method that allows for the molecular and immunocytochemical profiling of all captured cells. The purpose of our proof of concept study was to investigate the use of a medical wire (CellCollector, GILUPI) to isolate CTCs in the blood of prostate cancer (PCa) patients, which allowed CTCs to be counted and molecularly characterized. Forty-three PCa patients in different stages and 11 control subjects were studied. Some randomized samples were used to detect tumor-associated transcripts, such as prostate-specific membrane antigen (PSMA), prostate-specific antigen (PSA) and epidermal growth factor receptor (EGFR), in the isolated CTCs. RESULTS: The mean CTC counts were 4.6 CTCs [range, 0-8] in patients with localized PCa, 16.8 CTCs [range, 10-25] in patients with locally advanced PCa, and 26.8 CTCs [range, 0-98] in patients with metastatic PCa. The median follow-up time was 24 months, and there was a significant difference in the cancer-specific survival rates. Patients with CTC counts under 5 CTCs lived significantly longer (p = 0.035) than patients with more than 5 CTCs. We also demonstrated that the captured CTCs could be molecularly characterized. We detected tumor-associated transcripts of EGFR and PSMA in patients with metastatic PCa in 42.8% and 14.3% of the analyzed samples, respectively. CONCLUSION: Our results indicate that the sensitive isolation and molecular characterization of CTCs can be achieved ex vivo using the wire. Patients with more than 5 CTCs had a mortality risk that was 7.0 times greater that of those with fewer than 5 CTCs (hazard ratio 7.0 95%, CI 1.1-29.39). This proof of concept was required for the approval of the use of the CellCollector in a clinical study for the in vivo isolation of CTCs from the blood stream of PCa patients by the Federal Institute for Drugs and Medical devices (Germany, BfArM).


Subject(s)
Cell Separation/methods , Models, Biological , Neoplastic Cells, Circulating , Prostatic Neoplasms/pathology , Aged , Aged, 80 and over , Case-Control Studies , Cell Count , Cell Line, Tumor , Humans , Immunohistochemistry , Male , Microfluidic Analytical Techniques , Middle Aged , Neoplasm Metastasis , Neoplasm Staging , Neoplastic Cells, Circulating/metabolism , Prostate-Specific Antigen/blood , Prostatic Neoplasms/mortality , Prostatic Neoplasms/therapy , Survival Rate
2.
Biol Chem ; 396(3): 277-81, 2015 Mar.
Article in English | MEDLINE | ID: mdl-25205719

ABSTRACT

Cathepsin B has been demonstrated to be involved in several proteolytic processes that support tumor progression and metastasis and neurodegeneration. To further clarify its role, defined monoclonal antibodies are needed. As the primary structure of human cathepsin B is almost identical to that of the mouse, cathepsin B-deficient mice were used in a novel approach for generating such antibodies, providing the chance of an increased immune response to the antigen, human cathepsin B. Thirty clones were found to produce cathepsin B-specific antibodies. Seven of these antibodies were used to detect cathepsin B in MCF10-DCIS human breast cancer cells by immunocytochemistry and immunoblotting. Five different binding sites were identified by epitope mapping giving the opportunity to combine these antibodies in oligoclonal antibody mixtures for an improved detection of cathepsin B.


Subject(s)
Antibodies, Monoclonal/immunology , Cathepsin B/deficiency , Cathepsin B/immunology , Amino Acid Sequence , Animals , Cathepsin B/chemistry , Cell Line, Tumor , Electrophoresis, Polyacrylamide Gel , Epitope Mapping , Epitopes/chemistry , Epitopes/immunology , Fluorescent Antibody Technique , Humans , Immunoblotting , Mice , Molecular Sequence Data
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