ReviewSensors (Basel, Switzerland)2025
The Young's Modulus as a Mechanical Biomarker in AFM Experiments: A Tool for Cancer Diagnosis and Treatment Monitoring.
Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Atomic Force Microscopy-Based Nanomechanical Profiling Reveals Oxidative Stress-Associated Structural Alterations and Curcumin-Associated Protection in Chicken Erythrocytes.Current issues in molecular biology · 2026Article
- Multimodal transformers predict cancer therapy response from tumor mechanics.Array (New York, N.Y.) · 2026Article
- Atomic force microscopy-based nanomechanical signatures as cancer biomarkers in a nutshell.FEBS letters · 2026Review
- Review
- Gigantol Preserves Lens Biophysical Homeostasis by Restoring Cytoskeletal Integrity and Membrane Fluidity in a Diabetic Cataract Model.International journal of molecular sciences · 2026Article
- Mechanical Properties of Endothelial Cells: A Key to Physiology, Drug Testing and Nanostructure Interaction.Cells · 2025Review
- Advances in nanomechanical property mapping by atomic force microscopy.Nanoscale advances · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
This review explores recent advances in data processing for atomic force microscopy (AFM) nanoindentation on soft samples, with a focus on "apparent" or "average" Young's modulus distributions used for cancer diagnosis and treatment monitoring. Young's modulus serves as a potential key biomarker, distinguishing normal from cancerous cells or tissue by assessing stiffness variations at the nanoscale. However, user-independent, reproducible classification remains challenging due to assumptions in traditional mechanics models, particularly Hertzian theory. To enhance accuracy, depth-dependent mechanical properties and polynomial corrections have been introduced to address sample heterogeneity and finite thickness. Additionally, AFM measurements are affected by tip imperfections and the viscoelastic nature of biological samples, requiring careful data processing and consideration of loading conditions. Furthermore, a quantitative approach using distributions of mechanical properties is suitable for tissue classification and for evaluating treatment-induced changes in nanomechanical properties. As part of this review, the use of AFM-based mechanical properties as a tool for monitoring treatment outcomes-including treatments with antifibrotic drugs and photodynamic therapy-is also presented. By analyzing nanomechanical property distributions before and after treatment, AFM provides insights for optimizing therapeutic strategies, reinforcing its role in personalized cancer care and expanding its applications in research and clinical settings.
Indexed as
Identifiers
What Socratic 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 Socratic graph.