Evidence map›Paper›PMID 39353424›Full record

ReviewCell reports methods2024

Mimicking and analyzing the tumor microenvironment.

Roxane Crouigneau, Yan-Fang Li, Jamie Auxillos, Eliana Goncalves-Alves, Rodolphe Marie, Albin Sandelin, Stine Falsig Pedersen

Abstract readReview
In one paragraph

Review in Cell reports methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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  11. Rethinking the microenvironment's role in chemical-induced malignancy.Toxicological sciences : an official journal of the Society of Toxicology · 2026
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  19. JMJD5: a multifunctional regulator in development, homeostasis, and cancer.Frontiers in cell and developmental biology · 2026
    Review
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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

7 authors.

Roxane CrouigneauSection for Cell Biology and Physiology, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
Yan-Fang LiDepartment of Health Technology, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.
Jamie AuxillosSection for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark; Biotech Research and Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
Eliana Goncalves-AlvesSection for Cell Biology and Physiology, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
Rodolphe MarieDepartment of Health Technology, Technical University of Denmark, 2800 Kongens Lyngby, Denmark. Electronic address: rcwm@dtu.dk.
Albin SandelinSection for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark; Biotech Research and Innovation Centre, University of Copenhagen, Copenhagen, Denmark. Electronic address: albin@bio.ku.dk.
Stine Falsig PedersenSection for Cell Biology and Physiology, Department of Biology, University of Copenhagen, Copenhagen, Denmark. Electronic address: sfpedersen@bio.ku.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment (TME) is increasingly appreciated to play a decisive role in cancer development and response to therapy in all solid tumors. Hypoxia, acidosis, high interstitial pressure, nutrient-poor conditions, and high cellular heterogeneity of the TME arise from interactions between cancer cells and their environment. These properties, in turn, play key roles in the aggressiveness and therapy resistance of the disease, through complex reciprocal interactions between the cancer cell genotype and phenotype, and the physicochemical and cellular environment. Understanding this complexity requires the combination of sophisticated cancer models and high-resolution analysis tools. Models must allow both control and analysis of cellular and acellular TME properties, and analyses must be able to capture the complexity at high depth and spatial resolution. Here, we review the advantages and limitations of key models and methods in order to guide further TME research and outline future challenges.

Indexed as

NeoplasmsTumor MicroenvironmentAnimalsHumansModels, BiologicalcancerCP: BiotechnologyCP: Cancer biologyheterogeneitymetabolismmicrofluidicsorganoidstumor microenvironmenttumor models

Identifiers

PMID39353424
PMCPMC11573787

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.