ReviewCytotechnology2025
Genes and proteins expression profile of 2D vs 3D cancer models: a comparative analysis for better tumor insights.
Review in Cytotechnology, 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.
- Beyond the Monolayer: Leveraging 3D Culture Systems to Decode Mechanisms of Drug Resistance and Therapeutic Vulnerabilities in Colorectal Cancer.Cancer medicine · 2026Review
- 3D bioprinting for cancer modeling and drug screening.Biomarker research · 2026Review
- Immunotoxin WPD101a as a Potential Drug Candidate for Targeted Therapy in Muscle Invasive Bladder Cancer Expressing IL-13Rα2-In Vitro Study.International journal of molecular sciences · 2026Article
- Quantifying single-cell responses to irradiation in 3D.Frontiers in bioengineering and biotechnology · 2026Article
- NO/iNOS axis impact on glioma stem cells and temozolomide resistance.Journal of molecular medicine (Berlin, Germany) · 2025Article
- Single-cell isolation reveals 5 fluorouracil-resistant subclones in oral squamous cell carcinoma: New insights into stemness and epithelial-mesenchymal transition for targeted therapies.Journal of dental sciences · 2025Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
When juxtaposed with 2D cell culture models, multicellular tumor spheroids demonstrate a capacity to faithfully replicate certain features inherent to solid tumors. These include spatial architecture, physiological responses, the release of soluble mediators, patterns of gene expression, and mechanisms of drug resistance. The morphological and behavioural similarities between 3D-cultured cells and cells within tumor masses highlight the potential of these models in studying cancer biology and drug responses. The liquid overlay method, hanging drop technique, and ultra-low adhesion plates are among the various methods for generating tumor spheroids, each with its advantages and applications. Gene expression studies, employing advanced methods such as microarrays, suppression subtractive hybridization, qRT-PCR, and mass-spectrometry-based proteomics revealed distinct expression patterns in 3D spheroids compared to 2D cultures, uncovering upregulation and downregulation of genes associated with tumor development, metastasis, and drug resistance. Protein expression studies identified alterations in key signaling pathways, metabolic characteristics, and phosphorylation levels, highlighting the impact of 3D culture on cellular responses. This study explores genes and proteins expression variations in various cancer cell lines cultivated in 3D spheroids, shedding light on the complexity of interactions in a more tumor-mimicking environment. The fusion of these analytical approaches not only advances scientific understanding but also holds promise for the development of more effective cancer treatments.
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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.