ArticleCancer reports (Hoboken, N.J.)2025
Dissecting Morphological and Functional Dynamics of Non-Tumorigenic and Triple-Negative Breast Cancer Cell Lines Using PCA and t-SNE Analysis.
Article in Cancer reports (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Morphological and Optical Characterization of NRAS-Mutant Melanoma Cells and Primary Melanocytes via Quantitative Phase Imaging With Digital Holographic Microscopy.Cell biochemistry and function · 2026Article
- Dissecting Morphological and Functional Dynamics of Non-Tumorigenic and Triple-Negative Breast Cancer Cell Lines Using PCA and t-SNE Analysis.Cancer reports (Hoboken, N.J.) · 2025Article
- Single-cell transcriptomics in metastatic breast cancer: mapping tumor evolution and therapeutic resistance.Frontiers in genetics · 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
4 authors.
Funding
Abstract
backgroundTriple-negative breast cancer (TNBC) poses significant challenges due to its aggressive nature and lack of targeted therapies. Understanding the cellular behaviors of TNBC is crucial for developing effective treatments.
aimsThis study aims to compare the morphological characteristics of non-tumorigenic MCF10A and aggressive MDA-MB-231 TNBC cell lines using advanced analytical techniques. METHODS AND
resultsAdvanced techniques such as Principal Component Analysis (PCA), t-Distributed Stochastic Neighbor Embedding (t-SNE), and digital holographic microscopy were utilized. Cellular features such as area, migration, motility, irregularity, and optical thickness were thoroughly analyzed over time. Our results revealed significant morphological differences between the MCF10A and MDA-MB-231 cell lines. Specifically, MDA-MB-231 cells displayed enhanced motility and a smaller, more variable size, attributes that may facilitate their invasive potential. In contrast, MCF10A cells exhibited larger sizes and more regular migration patterns, suggesting stability in structured tissue environments. Additionally, temporal analysis highlighted consistent phenotypic behaviors over time, with MDA-MB-231 cells demonstrating higher optical thickness and irregularity, indicating potential structural complexities associated with malignant transformation. Correlative analysis further confirmed these results by revealing connections between cell size, motility, and optical properties crucial for understanding cell behavior within their microenvironment.
conclusionThe profound differences in cellular dynamics between MCF10A and MDA-MB-231 cell lines underscore the unique adaptive mechanisms of TNBC cells. Our study provides valuable insights into the cellular foundations of TNBC aggressiveness, offering a foundation for future research aimed at understanding the mechanistic underpinnings of TNBC progression and therapeutic targeting.
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.