ReviewDiscover oncology2025
Transformative insights in breast cancer: review of atomic force microscopy applications.
Review in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Spatial biology of crowded tumor cells: A new map for designing drug combinations.Current opinion in structural biology · 2026Review
- Role of atomic force microscopy in characterization of heterotypic cancer spheroids and their interaction with microplastic particles.Scientific reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Breast cancer remains one of the foremost global health concerns, highlighting the urgent need for innovative diagnostic and therapeutic strategies. Traditional imaging techniques, such as mammography and ultrasound, play essential roles in clinical practice; however, they often fall short in detecting early-stage tumors and providing comprehensive insights into the mechanical properties of cancer cells. In this context, Atomic Force Microscopy (AFM) has emerged as a transformative tool in breast cancer research, owing to its high-resolution imaging capabilities and nanomechanical characterization. This review explores recent advancements in AFM technology as applied to breast cancer research, emphasizing key findings that include the differentiation of various stages of tumor progression through high-resolution imaging, precise characterization of mechanical properties, and the capability for single-cell analysis. These capabilities not only enhance our understanding of tumor heterogeneity but also reveal potential biomarkers for early detection and therapeutic targets. Furthermore, the review critically examines several challenges and limitations associated with the application of AFM in breast cancer research. Issues such as complexities in sample preparation, accessibility, and the cost of AFM technology are discussed. Despite these challenges, the potential of AFM to transform our understanding of breast cancer biology is significant. Looking ahead, continued advancements in AFM technology promise to deepen our insights into breast cancer biology and guide innovative therapeutic strategies aimed at improving patient outcomes.
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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.