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Adaptation of Semiautomated Circulating Tumor Cell CTC Assays for Clinical and Preclinical Research Applications
Published on: February 28, 2014
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Data-Driven Discovery of Extravasation Pathway in Circulating Tumor Cells.
S Yadavalli1, S Jayaram1,2, S S Manda1,3
1Institute of Bioinformatics, International Technology Park, Whitefield, Bangalore, 560 066, India.
Scientific Reports
|March 7, 2017
Summary
Circulating tumor cells (CTCs) are key to cancer spread. Analyzing their gene activity reveals the leukocyte extravasation pathway is crucial for metastasis, suggesting new ways to monitor and treat cancer.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Circulating tumor cells (CTCs) are vital for cancer metastasis.
- Understanding CTC transcriptional profiles is crucial for analyzing phenotypes.
- High-throughput studies present challenges in extracting clinical information from CTCs.
Purpose of the Study:
- To understand CTC heterogeneity and identify conserved genes, pathways, and processes across tumors.
- To analyze transcriptional profiles and regulatory mechanisms of CTCs.
- To explore the role of CTCs in cancer dissemination and identify potential therapeutic targets.
Main Methods:
- Literature mining for gene expression profiles in CTCs.
- In silico analysis and integration of CTC-specific genes.
- Analysis of gene expression data to identify biological mechanisms and regulatory processes.
Main Results:
- Identified significant biological mechanisms and regulatory processes in CTCs across various cancers.
- Found enrichment of the leukocyte extravasation pathway, crucial for CTC migration to metastatic sites.
- Observed that CTCs exhibit hybrid epithelial and mesenchymal marker expression, indicating dynamic states along the epithelial-mesenchymal transition (EMT) spectrum.
Conclusions:
- The leukocyte extravasation pathway plays a pivotal role in CTC migration and metastasis.
- CTCs exist in dynamic, hybrid states along the EMT spectrum.
- Targeting specific molecular nodes in CTCs can improve real-time disease monitoring and therapeutic control for better cancer management.
