Evidence mapPaperPMID 39411957Full record

ReviewMini reviews in medicinal chemistry2025

Energy Metabolism Behavior and Response to Microenvironmental Factors of the Experimental Cancer Cell Models Differ from that of Actual Human Tumors.

Rafael Moreno-Sanchez, Jorge Luis Vargas-Navarro, Joaquin Alberto Padilla-Flores, Diana Xochiquetzal Robledo-Cadena, Juan Carlos Granados-Rivas, Rutt Taba, Anton Terasmaa, Giuseppe Leonardo Auditano, Tuuli Kaambre, Sara Rodriguez-Enriquez

Abstract readReview
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In one paragraph

Review in Mini reviews in medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Energy Metabolism Profiling of Human Colorectal Tumours.Journal of cellular and molecular medicine · 2025
    Article
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

10 authors.

Rafael Moreno-SanchezLaboratorio de Control Metabólico, Carrera de Biología, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla de Baz, Estado de México, México.
Jorge Luis Vargas-NavarroLaboratorio de Control Metabólico, Carrera de Biología, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla de Baz, Estado de México, México.
Joaquin Alberto Padilla-FloresLaboratorio de Control Metabólico, Carrera de Biología, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla de Baz, Estado de México, México.
Diana Xochiquetzal Robledo-CadenaDepartamento de Bioquímica, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano No. 1. Colonia Sección XVI, Tlalpan, México.
Juan Carlos Granados-RivasLaboratorio de Control Metabólico, Carrera de Biología, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla de Baz, Estado de México, México.
Rutt TabaLaboratory of Chemical Biology, National Institute of Chemical Physics and Biophysics, Tallinn, Estonia.
Anton TerasmaaLaboratory of Chemical Biology, National Institute of Chemical Physics and Biophysics, Tallinn, Estonia.
Giuseppe Leonardo AuditanoLaboratory of Chemical Biology, National Institute of Chemical Physics and Biophysics, Tallinn, Estonia.
Tuuli KaambreLaboratory of Chemical Biology, National Institute of Chemical Physics and Biophysics, Tallinn, Estonia.
Sara Rodriguez-EnriquezLaboratorio de Control Metabólico, Carrera de Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla de Baz, Estado de México, México.

Funding

CONAHCyT-México 6379PAPIIT, DGAPA-UNAM, México IA201823
6 · The paper itself

Abstract

Analysis of the biochemical differences in the energy metabolism among bi-dimensional (2D) and tri-dimensional (3D) cultured cancer cell models and actual human tumors was undertaken. In 2D cancer cells, the oxidative phosphorylation (OxPhos) fluxes range is 2.5-19 nmol O2/min/mg cellular protein. Hypoxia drastically decreased OxPhos flux by 2-3 times in 2D models, similar to what occurs in mature multicellular tumor spheroids (MCTS), a representative 3D cancer cell model. However, mitochondrial protein contents and enzyme activities were significantly different between both models. Moreover, glycolytic fluxes were also significantly different between 2D and MCTS. The glycolytic flux range in 2D models is 1-34 nmol lactate/min/mg cellular protein, whereas in MCTS the range of glycolysis fluxes is 60-80 nmol lactate/min/mg cellular. In addition, sensitivity to anticancer canonical and metabolic drugs was greater in MCTS than in 2D. Actual solid human tumor samples show lower (1.6-4.5 times) OxPhos fluxes compared to normoxic 2D cancer cell cultures. These observations indicate that tridimensional organization provides a unique microenvironment affecting tumor physiology, which has not been so far faithfully reproduced by the 2D environment. Thus, the analysis of the resemblances and differences among cancer cell models undertaken in the present study raises caution on the interpretation of results derived from 2D cultured cancer cells when they are extended to clinical settings. It also raises awareness about detecting which biological and environmental factors are missing in 2D and 3D cancer cell models to be able to reproduce the actual human tumor behavior.

Indexed as

Energy MetabolismNeoplasmsTumor MicroenvironmentCell Line, TumorGlycolysisHumansModels, BiologicalOxidative PhosphorylationSpheroids, Cellularbi-dimensional cancer modelenergy pathwaysHuman tumorsmulticellular tumor spheroids.tri-dimensional cancer modeltumor microenvironment

Identifiers

PMID39411957

What Socratic holds

Textmetadata
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.