ReviewSensors (Basel, Switzerland)2014
Biosensors for the detection of circulating tumour cells.
Review in Sensors (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Circulating tumor cells: overcoming challenges of detecting a needle in a haystack.Exploration of targeted anti-tumor therapy · 2025Review
- Diagnosis, Monitoring, and Prognosis of Liquid Biopsy in Cancer Immunotherapy.Methods in molecular biology (Clifton, N.J.) · 2023Review
- Recent Development of Nanomaterials-Based Cytosensors for the Detection of Circulating Tumor Cells.Biosensors · 2021Review
- Review
- Review
- Application of electrochemical biosensors in tumor cell detection.Thoracic cancer · 2020Review
- Prognostic and therapeutic significance of circulating tumor cells in patients with lung cancer.Cellular oncology (Dordrecht, Netherlands) · 2020Review
- Liquid Biopsy in Oligometastatic Prostate Cancer-A Biologist's Point of View.Frontiers in oncology · 2019Review
- Current Status and Future Direction of Nanomedicine: Focus on Advanced Biological and Medical Applications.Nuclear medicine and molecular imaging · 2017Review
- Article
- Single-Cell Sequencing Technology in Oncology: Applications for Clinical Therapies and Research.Analytical cellular pathology (Amsterdam) · 2016Review
- Molecular profiling of circulating tumor cells links plasticity to the metastatic process in endometrial cancer.Molecular cancer · 2014Article
- Sensors and technologies in Spain: state-of-the-art.Sensors (Basel, Switzerland) · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metastasis is the cause of most cancer deaths. Circulating tumour cells (CTCs) are cells released from the primary tumour into the bloodstream that are considered the main promoters of metastasis. Therefore, these cells are targets for understanding tumour biology and improving clinical management of the disease. Several techniques have emerged in recent years to isolate, detect, and characterise CTCs. As CTCs are a rare event, their study requires multidisciplinary considerations of both biological and physical properties. In addition, as isolation of viable cells may give further insights into metastatic development, cell recovery must be done with minimal cell damage. The ideal system for CTCs analysis must include maximum efficiency of detection in real time. In this sense, new approaches used to enrich CTCs from clinical samples have provided an important improvement in cell recovery. However, this progress should be accompanied by more efficient strategies of cell quantification. A range of biosensor platforms are being introduced into the technology for CTCs quantification with promising results. This review provides an update on recent progress in CTCs identification using different approaches based on sensor signaling.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.