Epigenomic reprogramming of therapy-resistant circulating tumor cells in colon cancer
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE239549 | GEO | 2023/12/13
REPOSITORIES: GEO
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Project description:Metastasis is the main cause of cancer-related deaths in patients with solid tumors, including colorectal cancer (CRC). Circulating tumor cells (CTCs) and epigenetic alterations are involved in the development of metastasis. It is important to characterize the DNA methylation pattern of metastasis-competent CTCs to better understand the metastatic process and obtain new clinical applications for cancer patients. Therefore, the aim of this study was to investigate the DNA methylation landscape of metastasis-competent CTCs in CRC. The DNA methylome of the human colorectal cancer-derived cell line CTC-MCC-41 was compared with primary (HT29, Caco2, HCT116, RKO) and metastatic (SW620 and COLO205) CRC cells using a genome-wide methylation analysis.
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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
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2019-06-02 | GSE82198 | GEO
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.
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Project description:<p>Comprehensive analyses of cancer genomes in clinical settings promise to inform prognoses and guide the deployment of precise cancer treatments. A major barrier, however, is the inaccessibility of adequate metastatic tissue for accurate genomic analysis in prostate and other cancers. A potential solution is to characterize circulating tumor cells (CTCs), but this requires overcoming multiple technical hurdles. Here, we report an integrated process to isolate, qualify, and sequence whole exomes of CTCs with high fidelity, using a census-based sequencing strategy. Power calculations suggest that mapping of over 99.995% of the territory accessible in bulk exome sequencing is possible in CTCs. We validated our sequencing process in two prostate cancer patients including one for whom we compared CTC-derived mutations to mutations found in a lymph node metastasis and nine cores of the primary tumor. 51 of 73 CTC mutations (70%) were observed in matched tissue. Moreover, we identified 10 early trunk mutations and 56 metastatic trunk mutations in the non-CTC tumor samples and found 90% and 73% of these, respectively, in CTC exomes. This study establishes a foundation for CTC genomics in the clinic.</p>
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Project description:The enumeration of EpCAM-positive circulating tumor cells (CTCs) has allowed clinicians to estimate the overall metastatic burden in breast cancer patients. However, a thorough understanding of CTCs associated with breast cancer brain metastasis (BCBM) is necessary for early identification and evaluation of treatment response to BCBM. In this study, we report that BCBM CTCs are enriched in a distinct sub-population of cells identifiable by their biomarker expression and mutational content. Here we report the discovery of a unique “CTC gene signature” that is distinct from primary breast cancer tissues. Further dissection of the CTC signature identified signaling pathways associated with BCBM CTCs that may play roles in potentiating BCBM.
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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.
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