Molecular profiling of single circulating tumor cells with diagnostic intention
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE58192 | GEO | 2014/11/05
SECONDARY ACCESSION(S): PRJNA251541
REPOSITORIES: GEO
Similar Datasets
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.
2014-11-05 | E-GEOD-58192 | biostudies-arrayexpress
Project description:Circulating tumor cells (CTCs) represent the molecular characteristics of tumor sites and travel in the blood for seeding distant metastases. "EpCAM+/pan-cytokeratin (CK)+/CD45-/DAPI+" has been widely accepted as a CTC definition, especially in breast cancer, prostate cancer and colorectal cancer. However, reports on CTC detection in non-small cell lung cancer are limited due to a lack of efficient CTC marker. We describe hexokinase 2 (HK2) that assays elevated glycolysis of cancer cells, called Warburg effect, as a new marker for CTC detection in lung adenocarcinoma (LUAD), especially the CK negative CTCs. Single-cell sequencing was used to confirm the malignancy of putative CTCs by detecting genome-wide copy number alternations characteristic of malignant cells. We employed this marker in a variety of liquid biopsies from LUAD patients, including peripheral blood, pleural effusion and cerebrospinal fluid.
2021-02-28 | E-MTAB-8767 | biostudies-arrayexpress
Project description:The ability of circulating tumor cells (CTCs) to form clusters has been linked to increased metastatic potential. Yet biological features and vulnerabilities of CTC clusters remain largely unknown. Our DNA methylation analysis led us to hypothesize that CTC clusters are characterized by active TF networks that support both stemness and proliferation. To identify whether the stemness- and proliferation-related TF networks are also transcriptionally active in CTC clusters compared to single CTCs, we performed single-cell resolution RNA sequencing analysis of single CTCs and CTC clusters, matched within individual liquid biopsies and isolated from six breast cancer patients with progressive metastatic disease, and of single CTCs and CTC clusters isolated from three xenograft models. In addition, among 2,486 FDA-approved compounds, we identify Na+/K+ ATPase inhibitors that enable the dissociation of CTC clusters into single cells, leading to DNA methylation remodeling at critical sites and metastasis suppression. We performed RNA sequencing analysis of BR16 and Brx50 cells upon treatment to assess the molecular consequences of clusters dissociation.
2019-01-11 | GSE111065 | GEO
Project description:<p>Circulating tumor cells (CTCs) are recognized as direct seeds of metastasis. However, CTC count may not be the 'best' indicator of metastatic risk because their heterogeneity is generally neglected. In this study, we develop a molecular typing system to predict colorectal cancer metastasis potential based on the metabolic fingerprints of single CTCs. After identification of the metabolites potentially related to metastasis using mass spectrometry-based untargeted metabolomics, setup of a home-built single-cell quantitative mass spectrometric platform for target metabolite analysis in individual CTCs and use of a machine learning method composed of non-negative matrix factorization and logistic regression, CTCs are divided into two subgroups, C1 and C2, based on a 4-metabolite fingerprint. Both <em>in vitro</em> and <em>in vivo</em> experiments demonstrate that CTC count in C2 subgroup is closely associated with metastasis incidence. This is an interesting report on the presence of a specific population of CTCs with distinct metastatic potential at the single-cell metabolite level. </p>
2023-08-21 | MTBLS5028 | MetaboLights
Project description:Clusters of circulating tumor cells (CTC-clusters) are present in the blood of patients with cancer but their contribution to metastasis is not well defined. Here, we first use mouse models to demonstrate that breast cancer cells injected intravascularly as clusters are more prone to survive and colonize the lungs than single cells. Primary mammary tumors comprised of tagged cells give rise to oligoclonal CTC-clusters, with 50-fold increased metastatic potential, compared with single CTCs. Using intravital imaging and in vivo flow cytometry, CTC-clusters are visualized in the tumor circulation, and they demonstrate rapid clearance in peripheral vessels. In patients with breast cancer, presence of CTC-clusters is correlated with decreased progression-free survival. RNA sequencing identifies the cell junction protein plakoglobin as most differentially expressed between clusters and single human breast CTCs. Expression of plakoglobin is required for efficient CTC-cluster formation and breast cancer metastasis in mice, while its expression is associated with diminished metastasis-free survival in breast cancer patients. Together, these observations suggest that plakoglobin-enriched primary tumor cells break off into the vasculature as CTC-clusters, with greatly enhanced metastasis propensity. RNA-seq from 29 samples (15 pools of single CTCs and 14 CTC-clusters) isolated from 10 breast cancer patients
2014-07-11 | E-GEOD-51827 | biostudies-arrayexpress
Project description: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:<br><br> 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.<br> 1b) SAMPLE170712SUB735: Corresponding CTC-depleted blood sample for the above patient with breast cancer.<br> 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.<br> 2b) SAMPLE170830SUB750: Corresponding CTC-depleted blood sample for the above patient with prostate cancer.<br> 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.<br> 3b) SAMPLE170832SUB751: Corresponding CTC-depleted blood sample for the above patient with colorectal cancer.
2005-06-30 | E-MEXP-136 | biostudies-arrayexpress
Project description:Circulating Tumor Cells (CTCs) are shed from primary tumors into the bloodstream, mediating the hematogenous spread of cancer to distant organs. To determine the relevance of ECM protein expression to human disease, CTCs were isolated from the blood of metastatic PDAC patients and subjected to single cell RNA-sequencing. Analysis of 7 pancreatic CTCs from 3 patients revealed that the majority expressed keratins defining their epithelial origin. A total of 13 of 60 extracellular protein genes enriched in mouse CTCs (see GEO GSE51372) were expressed at high levels (>100 rpm) in at least one human pancreatic CTC. Human SPARC was the only gene found at high levels in all human pancreatic CTCs. To achieve a deep RNA sequencing profile of CTCs at the single cell level, we applied a novel inertial focusing-enhanced device, the CTC-iChip, which allows high efficiency negative depletion of normal blood cells, leaving unattached CTCs in solution where they can be selected and analyzed as single cells (Pubmed ID 23552373). CTCs were then subjected to single cell RNA-sequencing (Pubmed ID 20203668).
2014-09-22 | E-GEOD-60407 | biostudies-arrayexpress
Project description:Recent technological advances have made it possible to detect circulating breast cancer cells as precursors of distant metastasis and as prognosis marker in nonmetastatic breast cancer patients. Association of circulating tumor cells (CTCs) with molecular alteration in the primary tumor is not widely explored. We reported differential profile of altered genome, copy number alteration and copy-neutral loss of heterogeneity in 14 primary tumors when comparing patients with CTCs+ versus CTCs- using single-nucleotide polymorphism array. The most prevalent copy number alteration in CTCs+ patients was at 8q and particularly at the cytoband 8q24 (MYC loci). As the role of MYC in the process of tumor cell invasion and migration is controversial, we further validated in a larger series of patients whether altered MYC (amplification or gained) in primary tumors was correlated with the presence of CTCs in peripheral blood (as a surrogate of micrometastais). No correlation between MYC alteration and presence of CTCs was observed, providing clinical support to the recent data that MYC suppresses cancer metastasis or at least suggesting that MYC alteration could be contributory but insufficient for the generation of CTCs. This molecular association needs to be further characterized in preclinical model and especially clinically. We analyzed CN and LOH of CTC+ and CTC-
2014-11-19 | E-GEOD-43149 | biostudies-arrayexpress
Project description:Circulating tumor cells (CTCs) are precursors of metastasis in several cancer types, and are occasionally found within the bloodstream in association with non-malignant cells such as white blood cells (WBCs). The identity and function of these CTC-associated WBCs, as well as the molecular features that define the interaction between WBCs and CTCs are unknown. Here, we achieve the isolation and interrogation of individual CTC-associated WBCs, alongside with corresponding cancer cells within each CTC-WBC-cluster, from multiple breast cancer patients and mouse models.
2019-02-06 | GSE109761 | GEO
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.
2015-05-17 | E-GEOD-67939 | biostudies-arrayexpress