Evidence map›Paper›PMID 39867829›Full record

ReviewCytotechnology2025

Genes and proteins expression profile of 2D vs 3D cancer models: a comparative analysis for better tumor insights.

Sunaina Bhuker, Abhinav Kumar Sinha, Anuksha Arora, Hardeep Singh Tuli, Sonal Datta, Adesh K Saini, Reena V Saini, Seema Ramniwas

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Quantifying single-cell responses to irradiation in 3D.Frontiers in bioengineering and biotechnology · 2026
    Article
  5. NO/iNOS axis impact on glioma stem cells and temozolomide resistance.Journal of molecular medicine (Berlin, Germany) · 2025
    Article
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sunaina BhukerDepartment of Bio-Sciences & Technology, MMEC, Maharishi Markandeshwar (Deemed to Be University), Mullana, 133207 India.
Abhinav Kumar SinhaDepartment of Bio-Sciences & Technology, MMEC, Maharishi Markandeshwar (Deemed to Be University), Mullana, 133207 India.
Anuksha AroraDepartment of Bio-Sciences & Technology, MMEC, Maharishi Markandeshwar (Deemed to Be University), Mullana, 133207 India.
Hardeep Singh TuliDepartment of Bio-Sciences & Technology, MMEC, Maharishi Markandeshwar (Deemed to Be University), Mullana, 133207 India.
Sonal DattaDepartment of Bio-Sciences & Technology, MMEC, Maharishi Markandeshwar (Deemed to Be University), Mullana, 133207 India.
Adesh K SainiDepartment of Bio-Sciences & Technology, MMEC, Maharishi Markandeshwar (Deemed to Be University), Mullana, 133207 India.
Reena V SainiDepartment of Bio-Sciences & Technology, MMEC, Maharishi Markandeshwar (Deemed to Be University), Mullana, 133207 India.ORCID 0000-0002-9025-0702
Seema RamniwasUniversity Centre for Research and Development, University Institute of Pharmaceutical Sciences, Chandigarh University, Gharuan, Mohali, 140413 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Differential expressionGenomics and proteomicsMonolayer cultureTumor spheroids

Identifiers

PMID39867829
PMCPMC11759753

What OpenQuestion holds

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Registered trials

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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.