ReviewACS omega2025
Role of Cell Adhesion in Cancer Metastasis Formation: A Review.
Review in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Integrin inhibition differentially remodels vascular networks in lung metastases driven by vessel co-option or angiogenesis.Angiogenesis · 2026Article
- Cytoskeletal dynamics in breast cancer: mechanistic insights and therapeutic opportunities.Journal of the National Cancer Center · 2026Review
- Cadherin-mediated cell adhesion networks drive tumor growth and therapeutic responses in head and neck cancer.World journal of surgical oncology · 2026Article
- The Tumor-suppressive role of CNTNAP2 in glioma: Dual regulation of the NDN-ERK axis and M2 macrophage polarization.Cancer gene therapy · 2026Article
- Oncogenic Gαq Signaling Remodels the Tumor Surfaceome and Rewires Intracellular Networks in Uveal Melanoma Models.Cancers · 2026Article
- Colloid-patterned surfaces distinguish malignant mechanophenotypes.Materials today. Bio · 2026Article
- The pre-metastatic niche: mechanisms, heterogeneity, and therapeutic opportunities.Molecular cancer · 2026Review
- A bioinformatics pipeline for identifying clinically relevant immune and adhesion biomarkers in thyroid risk stratification.Frontiers in molecular biosciences · 2026Article
- A 'Spicy' Mechanotransduction Switch: Capsaicin-Activated TRPV1 Receptor Modulates Osteosarcoma Cell Behavior and Drug Sensitivity.International journal of molecular sciences · 2025Article
- Proximity Mapping of the ER Proteome Reveals Metastasis-specific Candidate Biomarkers in Breast Cancer Cell Lines.Cancer genomics & proteomicsArticle
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
No grant is acknowledged in the PubMed record.
Abstract
Intercellular adhesion is accompanied by several physical quantities and actions. In this review, we tried to collect information about the influence of surface energy and its impact on cell-cell adhesion. It still undergoes development for cancer treatment. Data on receptor-ligand interactions that occur on circulating tumor cells (CTCs) are described, and adhesion receptors as therapeutic targets are collected. Additionally, the impact of surface roughness on the interactions between CTC cells and the surface was monitored. The effects of different cell adhesion molecules (CAMs) on cell adhesion, growth, and proliferation were investigated. This review offers general principles of cell adhesion, through the blockade of adhesion with blocking drugs and inhibitors like computational models that describe the process of adhesion. Some theoretical models based on the minimum of the total free energy of interaction between CAMs and selected organic molecules have been presented. The final aim was to find information on how modulation of the surface of CTCs (by medicals or physically) inhibits cancer metastases formation.
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.