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1.
Small ; 12(14): 1909-19, 2016 Apr 13.
Article in English | MEDLINE | ID: mdl-26917414

ABSTRACT

Circulating tumor cells (CTCs) offer tremendous potential for the detection and characterization of cancer. A key challenge for their isolation and subsequent analysis is the extreme rarity of these cells in circulation. Here, a novel label-free method is described to enrich viable CTCs directly from whole blood based on their distinct deformability relative to hematological cells. This mechanism leverages the deformation of single cells through tapered micrometer scale constrictions using oscillatory flow in order to generate a ratcheting effect that produces distinct flow paths for CTCs, leukocytes, and erythrocytes. A label-free separation of circulating tumor cells from whole blood is demonstrated, where target cells can be separated from background cells based on deformability despite their nearly identical size. In doping experiments, this microfluidic device is able to capture >90% of cancer cells from unprocessed whole blood to achieve 10(4) -fold enrichment of target cells relative to leukocytes. In patients with metastatic castration-resistant prostate cancer, where CTCs are not significantly larger than leukocytes, CTCs can be captured based on deformability at 25× greater yield than with the conventional CellSearch system. Finally, the CTCs separated using this approach are collected in suspension and are available for downstream molecular characterization.


Subject(s)
Microfluidics/instrumentation , Neoplastic Cells, Circulating , Humans
2.
Lab Chip ; 15(10): 2278-86, 2015 May 21.
Article in English | MEDLINE | ID: mdl-25876237

ABSTRACT

The enumeration and capture of circulating tumor cells (CTCs) are potentially of great clinical value as they offer a non-invasive means to access tumor materials to diagnose disease and monitor treatment efficacy. Conventional immunoenrichment of CTCs may fail to capture cells with low surface antigen expression. Micropore filtration presents a compelling label-free alternative that enriches CTCs using their biophysical rather than biochemical characteristics. However, this strategy is prone to clogging of the filter microstructure, which dramatically reduces the selectivity after processing large numbers of cells. Here, we use the resettable cell trap (RCT) mechanism to separate cells based on their size and deformability using an adjustable aperture that can be periodically cleared to prevent clogging. After separation, the output sample is stained and analyzed using multi-spectral analysis, which provides a more sensitive and unambiguous method to identify CTC biomarkers than traditional immunofluorescence. We tested the RCT device using blood samples obtained from 22 patients with metastatic castrate-resistant prostate cancer while comparing the results with the established CellSearch® system. The RCT mechanism was able to capture ≥5 CTCs in 18/22 (82%) patients with a mean count of 257 in 7.5 ml of whole blood, while the CellSearch system found ≥5 CTCs in 9/22 (41%) patients with a mean count of 25. The ~10× improvement in the CTC capture rate provides significantly more materials for subsequent analysis of these cells such as immunofluorescence, propagation by tissue culture, and genetic profiling.


Subject(s)
Cell Separation , Lab-On-A-Chip Devices , Neoplastic Cells, Circulating , Prostatic Neoplasms, Castration-Resistant , Cell Separation/instrumentation , Cell Separation/methods , Cell Size , Humans , Male , Neoplastic Cells, Circulating/metabolism , Neoplastic Cells, Circulating/pathology , Prostatic Neoplasms, Castration-Resistant/metabolism , Prostatic Neoplasms, Castration-Resistant/pathology
3.
Clin Cancer Res ; 21(10): 2315-24, 2015 May 15.
Article in English | MEDLINE | ID: mdl-25712683

ABSTRACT

PURPOSE: Although novel agents targeting the androgen-androgen receptor (AR) axis have altered the treatment paradigm of metastatic castration-resistant prostate cancer (mCRPC), development of therapeutic resistance is inevitable. In this study, we examined whether AR gene aberrations detectable in circulating cell-free DNA (cfDNA) are associated with resistance to abiraterone acetate and enzalutamide in mCRPC patients. EXPERIMENTAL DESIGN: Plasma was collected from 62 mCRPC patients ceasing abiraterone acetate (n = 29), enzalutamide (n = 19), or other agents (n = 14) due to disease progression. DNA was extracted and subjected to array comparative genomic hybridization (aCGH) for chromosome copy number analysis, and Roche 454 targeted next-generation sequencing of exon 8 in the AR. RESULTS: On aCGH, AR amplification was significantly more common in patients progressing on enzalutamide than on abiraterone or other agents (53% vs. 17% vs. 21%, P = 0.02, χ(2)). Missense AR exon 8 mutations were detected in 11 of 62 patients (18%), including the first reported case of an F876L mutation in an enzalutamide-resistant patient and H874Y and T877A mutations in 7 abiraterone-resistant patients. In patients switched onto enzalutamide after cfDNA collection (n = 39), an AR gene aberration (copy number increase and/or an exon 8 mutation) in pretreatment cfDNA was associated with adverse outcomes, including lower rates of PSA decline ≥ 30% (P = 0.013, χ(2)) and shorter time to radiographic/clinical progression (P = 0.010, Cox proportional hazards regression). CONCLUSIONS: AR gene aberrations in cfDNA are associated with resistance to enzalutamide and abiraterone in mCRPC. Our data illustrate that genomic analysis of cfDNA is a minimally invasive method for interrogating mechanisms of therapeutic resistance in mCRPC.


Subject(s)
Androstenes/pharmacology , Biomarkers, Tumor/blood , DNA, Neoplasm/blood , Prostatic Neoplasms, Castration-Resistant/genetics , Receptors, Androgen/genetics , Taxoids/pharmacology , Aged , Aged, 80 and over , Androstenes/therapeutic use , DNA Copy Number Variations , DNA Mutational Analysis , Disease-Free Survival , Docetaxel , Drug Resistance, Neoplasm , High-Throughput Nucleotide Sequencing , Humans , Kaplan-Meier Estimate , Male , Middle Aged , Mutation, Missense , Neoplasm Metastasis , Neoplastic Cells, Circulating , Proportional Hazards Models , Prostatic Neoplasms, Castration-Resistant/blood , Prostatic Neoplasms, Castration-Resistant/drug therapy , Prostatic Neoplasms, Castration-Resistant/mortality , Taxoids/therapeutic use
4.
PLoS One ; 9(1): e85264, 2014.
Article in English | MEDLINE | ID: mdl-24416373

ABSTRACT

Circulating tumor cell (CTC) enumeration promises to be an important predictor of clinical outcome for a range of cancers. Established CTC enumeration methods primarily rely on affinity capture of cell surface antigens, and have been criticized for underestimation of CTC numbers due to antigenic bias. Emerging CTC capture strategies typically distinguish these cells based on their assumed biomechanical characteristics, which are often validated using cultured cancer cells. In this study, we developed a software tool to investigate the morphological properties of CTCs from patients with castrate resistant prostate cancer and cultured prostate cancer cells in order to establish whether the latter is an appropriate model for the former. We isolated both CTCs and cultured cancer cells from whole blood using the CellSearch® system and examined various cytomorphological characteristics. In contrast with cultured cancer cells, CTCs enriched by CellSearch® system were found to have significantly smaller size, larger nuclear-cytoplasmic ratio, and more elongated shape. These CTCs were also found to exhibit significantly more variability than cultured cancer cells in nuclear-cytoplasmic ratio and shape profile.


Subject(s)
Biomarkers, Tumor/analysis , Cell Separation/instrumentation , Neoplastic Cells, Circulating/ultrastructure , Prostatic Neoplasms, Castration-Resistant/ultrastructure , Tumor Cells, Cultured/ultrastructure , Aged , Aged, 80 and over , Cell Count , Cell Nucleus/ultrastructure , Cell Separation/methods , Cytoplasm/ultrastructure , Humans , Male , Middle Aged , Neoplastic Cells, Circulating/pathology , Organ Specificity , Prognosis , Prostate , Prostatic Neoplasms, Castration-Resistant/diagnosis , Prostatic Neoplasms, Castration-Resistant/pathology , Tumor Cells, Cultured/pathology
5.
Cancer Res ; 73(10): 3109-19, 2013 May 15.
Article in English | MEDLINE | ID: mdl-23492367

ABSTRACT

Defining the mechanisms underlying metastatic progression of prostate cancer may lead to insights into how to decrease morbidity and mortality in this disease. An important determinant of metastasis is epithelial-to-mesenchymal transition (EMT), and the mechanisms that control the process of EMT in cancer cells are still emerging. Here, we report that the molecular chaperone Hsp27 (HSPB1) drives EMT in prostate cancer, whereas its attenuation reverses EMT and decreases cell migration, invasion, and matrix metalloproteinase activity. Mechanistically, silencing Hsp27 decreased IL-6-dependent STAT3 phosphorylation, nuclear translocation, and STAT3 binding to the Twist promoter, suggesting that Hsp27 is required for IL-6-mediated EMT via modulation of STAT3/Twist signaling. We observed a correlation between Hsp27 and Twist in patients with prostate cancer, with Hsp27 and Twist expression each elevated in high-grade prostate cancer tumors. Hsp27 inhibition by OGX-427, an antisense therapy currently in phase II trials, reduced tumor metastasis in a murine model of prostate cancer. More importantly, OGX-427 treatment decreased the number of circulating tumor cells in patients with metastatic castration-resistant prostate cancer in a phase I clinical trial. Overall, this study defines Hsp27 as a critical regulator of IL-6-dependent and IL-6-independent EMT, validating this chaperone as a therapeutic target to treat metastatic prostate cancer.


Subject(s)
Epithelial-Mesenchymal Transition , HSP27 Heat-Shock Proteins/physiology , Neoplastic Cells, Circulating , Prostatic Neoplasms/pathology , Animals , Cell Line, Tumor , Humans , Interleukin-6/pharmacology , Male , Mice , Neoplasm Metastasis , Promoter Regions, Genetic , STAT3 Transcription Factor/metabolism , Twist-Related Protein 1/genetics
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