Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of circulating tumor cells (CTC) from peripheral blood from patients with breast and prostate cancer

ABSTRACT: In many patients with solid tumors circulating tumor cells (CTCs), that form metastases, can be identified in peripheral blood. Detection and characterization of CTCs in cancer patients provide a unique opportunity to predict patient survival, select and monitor the efficacy of treatment as well as to gain insights into the cascade of metastatic events. Here, we describe a novel approach to identify CTC-specific molecular markers. Using an integrated platform for immunomagnetic enrichment and immunofluorescent identification of CTCs, blood samples with large numbers of CTCs were identified from patients with colorectal, prostate and breast cancers. Despite enrichment, CTCs are still outnumbered by "nonspecifically" captured leukocytes. In order to determine gene expression profile for CTCs, "background" gene expression signature of white blood cells must be taken into account. To this end, following enrichment for CTCs, RNA was also extracted from the remaining CTC-depleted blood samples. The following samples were used to generate the global expression profiles for CTCs:

1a) SAMPLE170711SUB735: CTC-enriched blood sample from a patient with breast cancer). 3700 CTCs were identified per 7.5 ml of peripheral blood in this patient.
1b) SAMPLE170712SUB735: Corresponding CTC-depleted blood sample for the above patient with breast cancer.
2a) SAMPLE170829SUB750: CTC-enriched blood sample from a patient with prostate cancer. 647 CTCs were identified per 7.5 ml of peripheral blood in this patient.
2b) SAMPLE170830SUB750: Corresponding CTC-depleted blood sample for the above patient with prostate cancer.
3a) SAMPLE170831SUB751: CTC-enriched sample from a patient with colorectal cancer. 180 CTCs were identified per 7.5 ml of peripheral blood in this patient.
3b) SAMPLE170832SUB751: Corresponding CTC-depleted blood sample for the above patient with colorectal cancer.

ORGANISM(S): Homo sapiens

DISEASE(S): colon mucinous adenocarcinoma (NCI Metathesaurus CL029553) in DiseaseLocation rectosigmoid colon has DiseaseStaging T3N2M1

SUBMITTER: Mark O'Hara

PROVIDER: E-MEXP-136 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Global gene expression profiling of circulating tumor cells.

Smirnov Denis A DA Zweitzig Daniel R DR Foulk Bradley W BW Miller M Craig MC Doyle Gerald V GV Pienta Kenneth J KJ Meropol Neal J NJ Weiner Louis M LM Cohen Steven J SJ Moreno Jose G JG Connelly Mark C MC Terstappen Leon W M M LW O'Hara S Mark SM

Cancer research 20050601 12

Metastases from primary tumors are responsible for most cancer deaths. It has been shown that circulating tumor cells (CTCs) can be detected in the peripheral blood of patients with a variety of metastatic cancers and that the presence of these cells is associated with poor clinical outcomes. Characterization of CTCs in metastatic cancer patients could provide additional information to augment management of the disease. Here, we describe a novel approach for the identification of molecular marke ...[more]

PMID: 15958538

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Project description:Cancer cells metastasize through the bloodstream either as single migratory circulating tumor cells (CTCs) or as multicellular groupings (CTC-clusters). Existing technologies for CTC enrichment are designed primarily to isolate single CTCs, and while CTC-clusters are detectable in some cases, their true prevalence and significance remain to be determined. Here, we developed a microchip technology (Cluster-Chip) specifically designed to capture CTC-clusters independent of tumor-specific markers from unprocessed blood. CTC-clusters are isolated through specialized bifurcating traps under low shear-stress conditions that preserve their integrity and even two-cell clusters are captured efficiently. Highly parallel architecture of the chip allows deterministic screening of clinically relevant volumes of blood samples at slow, and hence, non-damaging flow rates. Using the Cluster-Chip, we identify CTC-clusters in 30-40% of patients with metastatic cancers of the breast, prostate and melanoma. RNA sequencing of CTC-clusters confirms their tumor origin and identifies leukocytes within the clusters as being tissue-derived macrophages. Together, the development of a device for efficient capture of CTC-clusters will enable detailed characterization of their biological properties and role in cancer metastasis. We used the Cluster-Chip to capture CTC-clusters from the blood of a breast cancer patient with high CTC counts, released CTC-clusters in solution, stained them with TexasRed-conjugated antibodies against the leukocyte cell surface markers CD45, CD14 and CD16, and then isolated intact CTC-clusters individually using a micromanipulator. From a single time point, we retrieved 15 CTC-clusters, and each of those clusters was individually subjected to RNA-sequencing analysis using a next generation platform (SOLiD 5500). In addition, two leukocytes were isolated from the blood of a healthy donor were individually subjected to RNA-sequencing analysis using the same platform.

Project description:Circulating tumor cells (CTCs) are critical in the development of distant organ tumor metastasis, and are associated with advanced cancer stage and poor patient outcome. Here, we present the first genome-wide nucleotide-level characterization of CTCs. Our single-nucleotide polymorphism (SNP) analysis in patients with melanoma involved: 1) global comparative genomic analysis of CTCs and matched regional metastases, 2) identification of key genomic aberrations in CTCs, 3) verification of these target genes in aggressive distant tumor metastases, and 4) evidence of selective expression and functional consequence of CTC-associated genes in melanomas. We report 131 aberrant loci in CTCs that are potentially pro-metastatic, and show that such expression of a 5-marker gene panel (CSMD2, CNTNAP5, FLJ14051, ADAM6, TRPM2) in melanomas confers prognostic utility. Successful treatment of melanoma requires understanding of the metastatic process and identification of patients with tumors most likely to develop aggressive metastatic disease. Melanomas are heterogeneous, and CTCs have long been recognized as vehicles for cancer spread, representing particularly aggressive tumor clones that can evolve into successful clinical metastases. Elucidation of genomic aberrations in CTCs will aid in the development of prognostic biomarkers and therapeutic strategies to target CTCs to prevent or control distant cancer spread. This study provides the first detailed genomic confirmation of the close relation between CTCs and tumor metastases, and illustrates how CTCs can be utilized as a novel approach and rational source for identification of pro-metastatic genes in cancer research. Three individual patient cohorts were utilized in the study. CNV and LOH loci were evaluated initially in metastatic melanoma patients (n=13) in a discovery cohort. SNP loci that harbored CNV/LOH in CTCs were then separately verified for: (a) presence in distant organ metastasis (AJCC Stage IV melanoma) (n=27), and (b) relevance to prognosis in regional melanoma metastasis (AJCC Stage III melanoma) (n=35). The first discovery patient cohort group was utilized for capture of CTCs, and consisted of peripheral blood mononuclear cell (PBMC) and tumor specimens from metastatic melanoma patients (n=13). CTC-related loci were verified in a second cohort of patients with Stage IV distant organ metastases (n=27), including 15 brain, 4 lung, and 8 gastrointestinal (bowel, liver) metastases. The third patient cohort consisted of early passage (<12) established melanoma cell lines derived from 35 regional melanoma metastases (Stage III) for evaluation of the prognostic utility of the CTC-associated aberrant loci.

Project description:About 230 clinical trials currently explore the role of circulating tumor cell (CTC) analysis for therapy decisions, but no assays enable comprehensive molecular characterization of CTCs with diagnostic precision. We therefore combined a workflow for CTC enrichment and isolation with 100% purity with a non-random whole genome amplifiation method for single cells and applied it to 510 single CTCs and 189 leukocytes of 66 breast cancer patients. We defined a genome integrity index (GII) to identify cells suited for molecular chracterization by different molecular assay in more than 90% of single cells, such as diagnostic profiling for point mutations, gene amplifications and whole genomes of single cells. The high reliability on clinical samples enabled assessing the molecular heterogeneity of single CTCs of metastatic breast cancer patients. We readily identified therapeutically relevant genomic disparity between primary tumors and CTCs. Microheterogeneity analysis among individual CTCs uncovered preexisting cells reistsant to ERBB2 targeted therapies suggesting ongoing microevolution at late stage disease whose exploration may provide essential information for personalized treatment decisions. The analysis aimed to indentify profiles of copy number changes in genomic DNA of single circulating tumor cells (CTCs). For this, CTCs were enrched using the FDA approved CellSearch System and single-cell were isolated using the DEPArray System. Subsequently, single-cell DNA was amplified using the Ampli1 WGA Kits and subjected to single-cell aCGH analysis according to previously published protocol (Czyz ZT et al., PLoS One. 2014 Jan 21;9(1):e85907). The analysis included 38 single CTCs and 10 white blood cells (WBCs) obtained from 16 breast cancer patient. WBCs were used as controls for the analysis. In addition, four CTC cell pools were included in the analysis. This was done to show the discrepancies between the profiles of individual cells and corresponing average genomic profile of CTCs in a patient material (cell pools), thereby demonstrating the importance of the analysis on the cell-by-cell basis. The reference sample used for all aCGH experiments consisted of a pool of four single-cell WGA products generated from WBCs of a healthy female donor.

Dataset Information

Transcription profiling of circulating tumor cells (CTC) from peripheral blood from patients with breast and prostate cancer

Publications

Global gene expression profiling of circulating tumor cells.

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