ArticlePloS one2016
EGFR-Based Immunoisolation as a Recovery Target for Low-EpCAM CTC Subpopulation.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03979339 (Feasibility of a New Technology for Isolating Circulating Tumour Cells in Selected Cancer Patients and Healthy Volunteers), which is not on this map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Feasibility of a New Technology for Isolating Circulating Tumour Cells in Selected Cancer Patients and Healthy Volunteers
Who cites it
11 citing papers in PubMed.
- Circulating tumour cells as a window into lethality in prostate cancer.Nature reviews. Urology · 2026Review
- Article
- Article
- Multiple valence states of Fe boosting SERS activity of FeFundamental research · 2024Article
- Peptide-Functionalized Nanoemulsions as a Promising Tool for Isolation and Ex Vivo Culture of Circulating Tumor Cells.Bioengineering (Basel, Switzerland) · 2022Article
- Continuous centrifugal microfluidics (CCM) isolates heterogeneous circulating tumor cells via full automation.Theranostics · 2022Article
- Sorting and gene mutation verification of circulating tumor cells of lung cancer with epidermal growth factor receptor peptide lipid magnetic spheres.Thoracic cancer · 2020Article
- Magnetic Iron Nanocubes Effectively Capture Epithelial and Mesenchymal Cancer Cells.ACS omega · 2020Article
- Shedding light on the EpCAM: An overview.Journal of cellular physiology · 2019Review
- Polymer nanofiber-based microchips for EGFR mutation analysis of circulating tumor cells in lung adenocarcinoma.International journal of nanomedicine · 2018Article
- Epidermal Growth Factor Receptor Status in Circulating Tumor Cells as a Predictive Biomarker of Sensitivity in Castration-Resistant Prostate Cancer Patients Treated with Docetaxel Chemotherapy.International journal of molecular sciences · 2016Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Circulating tumour cells (CTCs) play a key role in the metastasis process, as they are responsible for micrometastasis and are a valuable tool for monitoring patients in real-time. Moreover, efforts to develop new strategies for CTCs isolation and characterisation, and the translation of CTCs into clinical practice needs to overcome the limitation associated with the sole use of Epithelial Cell Adhesion Molecule (EpCAM) expression to purify this tumour cell subpopulation. CTCs are rare events in the blood of patients and are believed to represent the epithelial population from a primary tumour of epithelial origin, thus EpCAM immunoisolation is considered an appropriate strategy. The controversy stems from the impact that the more aggressive mesenchymal tumour phenotypes might have on the whole CTC population. In this work, we first characterised a panel of cell lines representative of tumour heterogeneity, confirming the existence of tumour cell subpopulations with restricted epithelial features and supporting the limitations of EpCAM-based technologies. We next developed customised polystyrene magnetic beads coated with antibodies to efficiently isolate the phenotypically different subpopulations of CTCs from the peripheral blood mononuclear cells (PBMCs) of patients with metastatic cancer. Besides EpCAM, we propose Epidermal Growth Factor Receptor (EGFR) as an additional isolation marker for efficient CTCs detection.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.