Project description:The enumeration of circulating tumor cells (CTCs) in peripheral blood correlates with clinical outcome in castration-resistant prostate cancer (CRPC). We analyzed the molecular profiling of peripheral blood from 43 metastatic CRPC patients with known CTC content in order to identify genes that may be related to prostate cancer progression. Global gene expression analysis identified the differential expression of 282 genes between samples with ?5 CTCs vs <5 CTCs, 58.6% of which were previously described as over-expressed in prostate cancer (18.9% in primary tumors and 56.1% in metastasis). Those genes were involved in survival functions such as metabolism, signal transduction, gene expression, and cell growth, death, and movement. The expression of selected genes was evaluated by quantitative RT-PCR. This analysis revealed a two-gene model (SELENBP1 and MMP9) with a high significant prognostic ability (HR 6; 95% CI 2.61 - 13.79; P<0.0001). The combination of the two-gene signature plus the CTCs count showed a higher prognostic ability than neither CTCs enumeration nor gene expression alone (P<0.05). This study shows a gene expression profile in PBMNC is associated with CTCs count and clinical outcome in metastatic CRPC, describing genes and pathways potentially associated with CRPC progression. The complete database comprised the expression measurements of 43 metastatic castration-resistant prostate cancer (CRPC) samples and their asociation with the number of circulating tumor cells (CTCs). Twenty of them have a number circulating tumor cells (CTCs) greater than 5.
Project description:The CTC-iChip microfluidic device [PMID: 23552373 ] enables isolation of rare viable circulating tumor cells (CTCs) directly from whole blood specimens of patients with cancer. Reanalysis of freshly isolated CTC from 31 women with hormone receptor positive metastatic breast cancer.
Project description:We developed a method to isolate pure circulating tumor cells (CTC). RNA from such CTCs isolated from the peripheral blood of metastatic breast cancer patients and gene expression was performed using cDNAmicroarray. we used cDNA array to compare gene expression of CTCs with normal epithelial and breast tumor samples normal blood vs. breast tumor
Project description:The number of circulating tumor cells (CTCs) in metastatic prostate cancer patients provides prognostic and predictive information. However, it is the molecular characterization of CTCs that offers insight into the biology of these tumor cells in the context of personalized treatment. We performed a pilot study to evaluate the feasibility of isolation and genomic profiling of CTCs in castration-resistant prostate cancer. CTCs in 7.5 mLs of blood in 20 castration-resistant metastatic prostate cancer patients were enumerated using CellSearch. Additional 10-20 mLs of blood from 12 patients positive for CTCs were subjected to immunomagnetic enrichment and fluorescence activated cell sorting (IE/FACS) to isolate pools of ~20 CTCs. Genomic DNA of CTCs was subjected to whole genome amplification followed by gene copy number analysis via array comparative genomic hybridization (aCGH). Archival primary tumor biopsy samples available from 2 patients were also subjected to aCGH.
Project description:Analyses of circulating tumor cells (CTC) cultured from blood of patients with cancer may allow individualized testing for susceptibility to therapeutic regimens. We established ex vivo cultures of CTCs from six patients with metastatic estrogen receptor-positive breast cancer and performed RNA-Seq on those cultures. One sample each from six metastatic estrogen receptor positive breast cancer patients
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>
Project description:We developed a method to isolate pure circulating tumor cells (CTC). RNA from such CTCs isolated from the peripheral blood of metastatic breats cnacer patients and gene expression was performed using cDNAmicroarray. we used cDNA array to compare gene expression of CTCs with normal epithelial and breast tumor samples CTCs vs. breast tumors
Project description:We developed a method to isolate pure circulating tumor cells (CTC). RNA from such CTCs isolated from the peripheral blood of metastatic breats cnacer patients and gene expression was performed using cDNAmicroarray. we used cDNA array to compare gene expression of CTCs with normal epithelial and breast tumor samples normal peripheral blood, normal epithelium, and CTCs
Project description:We developed a method to isolate pure circulating tumor cells (CTC). RNA from such CTCs isolated from the peripheral blood of metastatic breast cancer patients and gene expression was performed using cDNAmicroarray. we used cDNA array to compare gene expression of CTCs with normal epithelial and breast tumor samples
