Brief Report - (2025) Volume 10, Issue 2
Received: 03-Mar-2025, Manuscript No. jncr-25-165206;
Editor assigned: 05-Mar-2025, Pre QC No. P-165206;
Reviewed: 19-Mar-2025, QC No. Q-165206;
Revised: 24-Mar-2025, Manuscript No. R-165206;
Published:
31-Mar-2025
, DOI: 10.37421/2572-0813.2025.10.284
Citation: Tenum, Mingteo. “Atomic Force Microscopy in Cancer Research: A Nanoscale Approach to Cell Mechanics.” J Nanosci Curr Res 10 (2025): 284.
Copyright: © 2025 Tenum M. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Atomic Force Microscopy (AFM) fills this gap by providing high-resolution, label-free, and quantitative data on cell morphology and mechanics. With its ability to measure stiffness, adhesion forces, and surface topography in live cells under physiological conditions, AFM has become increasingly relevant in oncology research. AFM operates by scanning a sharp tip attached to a flexible cantilever over a sample surface. As the tip interacts with the sample, deflections of the cantilever are measured and converted into force-distance curves, from which mechanical properties can be derived. AFM force spectroscopy involves indenting the cell with a calibrated tip and analyzing the force-indentation response using contact mechanics models (e.g., Hertz, Sneddon). Cancer cells are often mechanically softer than their non-cancerous counterparts. Decreased stiffness is associated with enhanced deformability, allowing tumor cells to migrate through tight extracellular spaces. Breast, ovarian, and prostate cancer cells have consistently shown lower Youngâ??s modulus values compared to healthy epithelial cells. AFM has been used to classify cell lines based on metastatic potential, providing a mechanical phenotype of malignancy. AFM studies have revealed that changes in cell stiffness are closely linked to cytoskeletal remodeling. Actin filament reorganization, common in metastatic cells, leads to a more compliant cytoplasm and irregular surface morphology. AFM, when combined with fluorescence microscopy, allows correlation between cytoskeletal protein expression and mechanical measurements. AFM enables the quantification of cellâ??substrate and cellâ??cell adhesion forces. These measurements are crucial in understanding cancer cell detachment, migration, and invasion Cancer cells often exhibit reduced adhesion to the extracellular matrix, promoting mobility. Functionalized AFM tips (e.g., coated with ligands or antibodies) can probe specific receptorâ??ligand interactions involved in metastasis.
Treated cancer cells often show increased stiffness, correlating with reduced viability and proliferation. Time-lapse AFM imaging can monitor mechanical changes in real time, providing early indicators of drug efficacy before morphological alterations become visible. Differentiating benign vs. malignant tissues based on stiffness. Identifying mechanical signatures of drug-resistant phenotypes. Using primary tumor cells for personalized drug screening. Emerging portable and high-throughput AFM platforms are making these clinical applications more feasible. Single-cell measurements are time-consuming and labor-intensive. Maintaining physiological conditions and consistent cell attachment is critical. Mechanical properties vary with cell cycle, morphology, and local microenvironment. Classical contact mechanics models may not accurately describe viscoelastic or heterogeneous cells. Addressing these limitations requires advances in automation, integration with other analytical tools, and more sophisticated data analysis algorithms. Combining AFM with genomics, proteomics, and metabolomics could link mechanical changes to molecular alterations. Hybrid systems combining AFM with confocal or super-resolution microscopy will provide holistic cellular profiles. Machine learning can assist in pattern recognition and classification based on AFM datasets. Applying AFM to organoids and spheroids will better simulate in vivo tumor environments. These advancements will enhance AFMâ??s utility as both a basic research and clinical tool in oncology [1-5].
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Journal of Nanosciences: Current Research received 387 citations as per Google Scholar report