ArticleCell communication and signaling : CCS2016
Hunting for the ultimate liquid cancer biopsy - let the TEP dance begin.
Article in Cell communication and signaling : CCS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Expression of Epithelial and Mesenchymal Markers in Plasmatic Extracellular Vesicles as a Diagnostic Tool for Neoplastic Processes.International journal of molecular sciences · 2023Article
- Bidirectional Interaction Between Cancer Cells and Platelets Provides Potential Strategies for Cancer Therapies.Frontiers in oncology · 2021Review
- Extracellular vesicles from plasma have higher tumour RNA fraction than platelets.Journal of extracellular vesicles · 2020Article
- Innovative Molecular Testing Strategies for Adjunctive Investigations in Hemostasis and Thrombosis.Seminars in thrombosis and hemostasis · 2019Review
- Identification of potential tumor-educated platelets RNA biomarkers in non-small-cell lung cancer by integrated bioinformatical analysis.Journal of clinical laboratory analysis · 2018Article
- Modern work-up and extended resection in perihilar cholangiocarcinoma: the AMC experience.Langenbeck's archives of surgery · 2018Review
- Exosomes in Cancer Liquid Biopsy: A Focus on Breast Cancer.Molecular therapy. Nucleic acids · 2018Review
- Platelet Metabolism and Other Targeted Drugs; Potential Impact on Immunotherapy.Frontiers in oncology · 2018Review
- Deciphering Platelet Kinetics in Diagnostic and Prognostic Evaluation of Hepatocellular Carcinoma.Canadian journal of gastroenterology & hepatology · 2018Review
- Swarm Intelligence-Enhanced Detection of Non-Small-Cell Lung Cancer Using Tumor-Educated Platelets.Cancer cell · 2017Article
- Implementing liquid biopsies into clinical decision making for cancer immunotherapy.Oncotarget · 2017Review
- Cancer and Thrombosis: The Platelet Perspective.Frontiers in cell and developmental biology · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non-protein coding RNAs in different flavors (miRNAs, piRNAs, snoRNAs, lncRNAs, SHOT-RNAs), exosomes, large oncosomes, exoDNA and now tumor-educated platelets (TEPs) have emerged as crucial signal transmitting, transporting and regulating devices of cells in the last two decades. They are also establishing themselves increasingly in the realm of tumor research. We are currently witnessing a mushrooming of candidate entities for diagnostic and prognostic cancer detection and characterization tests that could have a major impact on how this diverse group of diseases is initially spotted and subsequently treated in the near future. But how do the new kids on the block stand up to the more established circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA)? Without question, much earlier disease detection would be expected to save numerous lives. With all these new players around, will we finally win a major battle in the never-ending war against cancer?
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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.