ArticleiScience2018
Single-Cell Imaging of Metastatic Potential of Cancer Cells.
Article in iScience, 2018. 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.
- Innovative Designs of Multimodal Imaging Based on Radionuclide, Quantum, and Cargo-Loaded Nanoplatform Emitters Towards Enhanced Energy-Matter Interactions for Photonics and Bioassays.Materials (Basel, Switzerland) · 2026Review
- A Constellation of Fluorescent Biosensors to Illuminate the Galaxy of Protein Kinases.Chembiochem : a European journal of chemical biology · 2026Review
- Heterotrimeric G protein signaling without GPCRs: The Gα-binding-and-activating (GBA) motif.The Journal of biological chemistry · 2024Review
- Intermetastatic and Intrametastatic Heterogeneity Shapes Adaptive Therapy Cycling Dynamics.Cancer research · 2023Article
- A circuit for secretion-coupled cellular autonomy in multicellular eukaryotic cells.Molecular systems biology · 2023Article
- Shining Light on Protein Kinase Biomarkers with Fluorescent Peptide Biosensors.Life (Basel, Switzerland) · 2022Review
- Article
- The frontier of live tissue imaging across space and time.Cell stem cell · 2021Review
- Regulating cellular cyclic adenosine monophosphate: "Sources," "sinks," and now, "tunable valves".Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- GIV/Girdin and Exo70 Collaboratively Regulate the Mammalian Polarized Exocytic Machinery.iScience · 2020Article
- GIV•Kindlin Interaction Is Required for Kindlin-Mediated Integrin Recognition and Activation.iScience · 2020Article
- Genetically encoded fluorescent biosensors illuminate kinase signaling in cancer.The Journal of biological chemistry · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Molecular imaging of metastatic "potential" is an unvanquished challenge. To engineer biosensors that can detect and measure the metastatic "potential" of single living cancer cells, we carried out a comprehensive analysis of the pan-cancer phosphoproteome to search for actin remodelers required for cell migration, which are enriched in cancers but excluded in normal cells. Only one phosphoprotein emerged, tyr-phosphorylated CCDC88A (GIV/Girdin), a bona fide metastasis-related protein across a variety of solid tumors. We designed multi-modular biosensors that are partly derived from GIV, and because GIV integrates prometastatic signaling by multiple oncogenic receptors, we named them "'integrators of metastatic potential (IMP)." IMPs captured the heterogeneity of metastatic potential within primary lung and breast tumors at steady state, detected those few cells that have acquired the highest metastatic potential, and tracked their enrichment during metastasis. These findings provide proof of concept that IMPs can measure the diversity and plasticity of metastatic potential of tumor cells in a sensitive and unbiased way.
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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.