Multiomic Evaluation of Metastasis Evolution, from Primary, CTC, to Metastatic Tumors
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA670340 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12855431_1.fastq.gz | Fastqsanger.gz | |||
| SRR12855431_2.fastq.gz | Fastqsanger.gz | |||
| SRR12855432_1.fastq.gz | Fastqsanger.gz | |||
| SRR12855432_2.fastq.gz | Fastqsanger.gz | |||
| SRR12855433_1.fastq.gz | Fastqsanger.gz |
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Project description:Melanoma brain metastasis (MBM) is linked to dismal prognosis, low overall survival, and is detected in up to 80% of patients at autopsy. Circulating tumor cells (CTCs) are the smallest functional units of cancer and precursors of fatal metastasis. We previously employed an unbiased multilevel approach to discover a unique ribosomal protein large/small subunits (RPL/RPS) CTC gene signature associated with MBM. Here, we hypothesized that CTC-driven MBM secondary metastasis (?metastasis of metastasis? per clinical scenarios), has targeted organ specificity for liver. We injected parallel cohorts of immunodeficient and newly-developed humanized NBSGW (HuNBSGW) mice with cells from CTC-derived MBM to identify secondary metastatic patterns. We found the presence of a melanoma brain-liver metastasis axis in humanized NBSGW mice. Further, RNA-Seq analyses of tissues showed a significant upregulation of the RPL/RPS CTC gene signature linked to metastatic spread to liver. Additional RNA-Seq of CTCs from HuNBSGW blood revealed extensive CTC clustering with human B cells in these mice. CTC:B cell clusters were also upregulated in blood of primary melanoma patients, and maintained either in CTC-driven MBM or MBM CTC-derived cells promoting liver metastasis. CTC-generated tumor tissues were interrogated at single-cell gene and protein expression levels (10x Genomics Xenium and HALO spatial biology platforms, respectively). Collectively, our findings suggest that heterotypic CTC:B cell interactions can be critical at multiple stages of metastasis. This study provides important insights for relevance of pro-metastatic CTC:B cell clusters extending from primary metastatic disease, and identifies new targets for therapies of clinical metastasis to improve patient care.
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Project description:Circulating tumor cell clusters/micro-emboli (CTM) possess greater metastatic capacity and survival advantage compared to individual circulating tumor cell (CTCs). However, the formation of CTM subtypes and their role in tumor metastasis remain unclear. In this study, we used a microfluidic Cluster-chip with easy operation and high efficiency to isolate CTM from peripheral blood, which confirmed their correlation with clinicopathological features and identified the critical role of CTC-platelet clusters in BC metastasis. The correlation between platelets and CTM function was further confirmed in a mouse model and RNA-seq of CTM identified high-expressed genes related to hypoxia stimulation and platelet activation which possibly suggested the correlation of hypoxia and CTC-platelet cluster formation. In conclusion, we successfully developed the Cluster-chip platform to realize the clinical capture of CTMs and analyze the biological properties of CTC-platelet clusters, which could benefit the design of potential treatment regimens to prevent CTM-mediated metastasis and tumor malignant progression.
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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.
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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
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:Metastatic colorectal cancer (mCRC) relies on the detachment of aggressive malignant cells from the primary tumor into the bloodstream, these Circulating Tumor Cells (CTC) being the principal source of the further metastasis. Here, we approached the massive molecular profiling of the CTC population isolated from mCRC patients. Clinically, the presence of CTC is associated with poor prognosis and there exists a clear necessity for more specific and efficient chemotherapies in the treatment of mCRC. Immunoisolation of CTC from these patients combined with a whole transcriptome amplification and hybridization onto gene expression arrays, lead us to specifically describe for the first time a CTC population with adhesive and migratory characteristics, in addition to a modulated expression of genes related to cell death and survival. Furthermore, bioinformatic analysis provided with an armamentarium of highly specific and sensitive valuable markers that should impact on the management and follow-up of mCRC patients. Finally, molecular profiling of CTC resulted in the identification of new therapeutic targets, like TGF-β1 impairing, specifically targeting the CTC population which should improve the efficacy in the eradication and prevention of CRC metastasis. In conclusion, molecular profiling of CTC represents an innovative and promising approach in the clinical management of mCRC patients. Circulating Tumor Cells (CTC) were immunoisolated from six metastatic colorectal patients (mCRC). Moreover, blood from three healthy donors were obtained, immunoisolating non-specific cellularity background. RNA was extracted and globally amplified with a Whole Transcriptome Amplification system. Samples were hybridized onto agilent arrays and CTC specific genes were obtained. Gene networks were built with IPA software and a gene ontology analysis was performed. Eleven candidate genes were validated by real time PCR. Finally, TGFB1 was evaluated as a potential drugable target against CTC population.
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Project description:Comparison of matched cfDNA and CTC gDNA in HR+HER2- metastatic breast cancer patients
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