Circulating tumor cell analysis from stage III lung cancer patients
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE249262 | GEO | 2024/01/18
REPOSITORIES: GEO
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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.
2014-07-01 | E-GEOD-43934 | biostudies-arrayexpress
Project description:Progression to stage IV disease remains the main cause of breast cancer-related deaths. Increasing knowledge of the hematogenous phase of metastasis is key for exploiting the entire window of opportunity to interfere with early dissemination and to achieve a more effective disease control. On the hypothesis that the distinguishing molecular features of circulating tumor cells (CTCs) reveal useful information on metastasis biology and disease outcome, we compared the transcriptomes of CTCs and solid primary/secondary lesions of the MDA-MB-231 xenograft model and provided evidence that blood-borne dissemination is regulated by numerous genes. Our new CTC-specific signature improved CTC detection and outcome prognostication in early-stage breast cancer patients compared to conventional CTC markers, and shed light on the metastatic process by highlighting the role of two genes.
2022-03-02 | GSE188893 | GEO
Project description:Progression to stage IV disease remains the main cause of breast cancer-related deaths. Increasing knowledge of the hematogenous phase of metastasis is key for exploiting the entire window of opportunity to interfere with early dissemination and to achieve a more effective disease control. On the hypothesis that the distinguishing molecular features of circulating tumor cells (CTCs) reveal useful information on metastasis biology and disease outcome, we compared the transcriptomes of CTCs and solid primary/secondary lesions of the MDA-MB-231 xenograft model and provided evidence that blood-borne dissemination is regulated by numerous genes. Our new CTC-specific signature improved CTC detection and outcome prognostication in early-stage breast cancer patients compared to conventional CTC markers, and shed light on the metastatic process by highlighting the role of two genes.
2022-03-02 | GSE188897 | GEO
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:Therapy resistance is a major limitation for treatment efficacy in colorectal cancer. Circulating tumor cells (CTCs) and epigenetic modifications, such as DNA methylation, are involved in the development of acquired resistance during treatment. The aim of this work was to characterize the DNA methylation landscape of colon CTCs during cancer progression and the development of therapy resistance. We analyzed nine permanent colon CTC-derived cell lines, which were collected at baseline (CTC-MCC-41) and during treatment and cancer progression (CTC-MCC-41.4 and CTC-MCC-41.5 [A-G]) from peripheral blood samples of a patient with metastatic colon cancer. The DNA methylome of these nine CTC lines was analyzed by EPIC arrays.
2023-12-13 | GSE239549 | GEO
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:BACKGROUND: We characterized the whole transcriptome of circulating tumor cells (CTCs) in Stage II-III breast cancer to evaluate correlations with primary tumor biology. METHODS: CTCs were isolated from peripheral blood (PB) via immunomagnetic enrichment followed by fluorescence-activated cell sorting (IE-FACS). CTCs, PB and fresh tumors were profiled with RNA Seq. Formalin-fixed, paraffin-embedded (FFPE) tumors were subjected to RNA Seq and NanoString PAM50 assays with Risk of Recurrence (ROR) scores. RESULTS: CTCs were detected in 29/33 (88%) of patients. We selected 21 cases to attempt RNA Seq (median number of CTCs=9). 16 CTC samples yielded results that passed quality control metrics. These samples had a median of 4,311,255 uniquely mapped reads, less than PB or tumors. Intrinsic subtype predicted by comparing estrogen receptor (ER), progesterone receptor (PR) and HER2 versus PAM50 for FFPE tumors was 85% concordant. However, CTC RNA Seq subtype assessed by the PAM50 classification genes was highly discordant both with the subtype predicted by ER/PR/HER2 as well as by tumor PAM50. Two patients died of metastatic disease - both had high ROR scores and high CTC counts. We identified significant genes, canonical pathways, upstream regulators and molecular interaction networks comparing CTCs by various clinical factors. We identified a 75-gene signature with highest expression in CTCs and tumors taken together that was prognostic in The Cancer Genome Atlas and METABRIC datasets. CONCLUSION: It is feasible to use RNA Seq of CTCs in non-metastatic patients to discover novel tumor biology characteristics.
2019-02-04 | GSE111842 | GEO
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:Background and aims: Immune checkpoint inhibitors have promising outcomes in patients with hepatocellular carcinoma (HCC); however, there is no reliable biomarker for predicting disease progression. Circulating tumor cells (CTCs) derived from peripheral blood have attracted attention in monitoring therapeutic efficacy. In this study, CTCs were serially collected from patients with HCC undergoing atezolizumab plus bevacizumab (Atezo+Bev) treatment, and changes in molecular expression and CTC numbers were analyzed to identify effective biomarkers. Approach and results: The peripheral blood samples were collected serially from 22 patients with HCC treated with Atezo+Bev, and CTCs were enriched using RosetteSep. The CD45(-)PanCK(+) cell counts were measured using flow cytometry. RNA extracted from enriched CTCs underwent targeted RNA sequencing with next-generation sequencing (NGS) and performed unsupervised hierarchical clustering analysis. Changes in CTC numbers during Atezo+Bev treatment reflected the tumor volume. NGS analysis revealed that patients with elevated transforming growth factor (TGF)-β signaling molecules had a poorer response, whereas those with elevated apoptosis signaling molecules had a favorable response (p < 0.05). In addition, compared with changes in CTC counts, changes in TGF-β signaling molecule expression in CTCs accurately and promptly predicted treatment response. Conclusions: NGS analysis of CTC-derived RNA showed that changes in TGF-β signaling molecules predict treatment response earlier than changes in CTC counts. These findings suggest that changes in the expression of TGF-β molecules in CTCs could serve as novel biomarkers for the early prediction of therapeutic response in patients with unresectable HCC undergoing Atezo+Bev therapy.
2024-07-17 | GSE261186 | GEO
Project description:The identification and characterisation of Circulating Tumour Cells (CTCs) is important to get insights into the biology of metastatic cancers, monitoring disease progression, and potential use in liquid biopsy-based personalised cancer treatment. The major limitation of CTC isolation is due to their heterogeneous nature, altered phenotype from primary tumour and availability in limited numbers. In the past years, several techniques have been developed to detect CTCs from peripheral blood, based on canonical markers. These methods are, however, prone to miss a larger set of CTCs due to variable or no expression of these markers. Furthermore, CTC enrichment processes are not free from White Blood Cell (WBC) contamination. Single cell RNA sequencing (scRNA-Seq) of CTCs provides a wealth of information about their tumors of origin as well as their fate. The first and most important roadblock encountered in CTC scRNA-Seq data analysis is confirmation of CTC capture. We present unCTC, an R software for unsupervised and semi-supervised characterisation of CTC transcriptomes, in contrast with WBCs. unCTC features various standard and novel computational/statistical modules for clustering, Copy Number Variation (CNV) inference, and marker based verification of the malignant phenotypes. Notably, we propose Deep Dictionary Learning using K-means clustering cost (DDLK) that robustly clusters scRNA-Seq profiles of CTCs and WBC contaminates to characterise heterogeneity among the concerned cell population. Interestingly, DDLK performs better as gene expression data is transformed into pathway enrichment profiles. To demonstrate the utility of unCTC, we produce scRNA-Seq profiles of breast CTCs enriched by the integrated ClearCell® FX/PolarisTM workflow that works on the principles of size selection and negative enrichment for CD45, a pan leukocyte marker.
2022-11-09 | GSE186288 | GEO