Evidence map›Paper›PMID 38196375›Full record

ArticleJournal of the Royal Society, Interface2024

Evolutionary dynamics of glucose-deprived cancer cells: insights from experimentally informed mathematical modelling.

Luis Almeida, Jérôme Alexandre Denis, Nathalie Ferrand, Tommaso Lorenzi, Antonin Prunet, Michéle Sabbah, Chiara Villa

Open access · greenAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.0field-weighted citation impact, top 7% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Luis AlmeidaSorbonne Université, CNRS, Université de Paris, Inria, Laboratoire Jacques-Louis Lions UMR 7598, Paris 75005, France.
Jérôme Alexandre DenisSorbonne Université, Cancer Biology and Therapeutics, INSERM, CNRS, Institut Universitaire de Cancérologie, Saint-Antoine Research Center (CRSA), Paris 75012, France.ORCID 0000-0002-1617-4617
Nathalie FerrandSorbonne Université, Cancer Biology and Therapeutics, INSERM, CNRS, Institut Universitaire de Cancérologie, Saint-Antoine Research Center (CRSA), Paris 75012, France.
Tommaso LorenziDepartment of Mathematical Sciences 'G. L. Lagrange', Dipartimento di Eccellenza 2018-2022, Politecnico di Torino, Torino 10129, Italy.ORCID 0000-0001-9165-1666
Antonin PrunetSorbonne Université, CNRS, Université de Paris, Inria, Laboratoire Jacques-Louis Lions UMR 7598, Paris 75005, France.
Michéle SabbahSorbonne Université, CNRS, Université de Paris, Inria, Laboratoire Jacques-Louis Lions UMR 7598, Paris 75005, France.
Chiara VillaSorbonne Université, CNRS, Université de Paris, Inria, Laboratoire Jacques-Louis Lions UMR 7598, Paris 75005, France.ORCID 0000-0003-3127-0532
Centre National de la Recherche Scientifique · FRPolitecnico di Torino · IT

Funding

European Research Council
6 · The paper itself

Abstract

Glucose is a primary energy source for cancer cells. Several lines of evidence support the idea that monocarboxylate transporters, such as MCT1, elicit metabolic reprogramming of cancer cells in glucose-poor environments, allowing them to re-use lactate, a by-product of glucose metabolism, as an alternative energy source with serious consequences for disease progression. We employ a synergistic experimental and mathematical modelling approach to explore the evolutionary processes at the root of cancer cell adaptation to glucose deprivation, with particular focus on the mechanisms underlying the increase in MCT1 expression observed in glucose-deprived aggressive cancer cells. Data from

Indexed as

NeoplasmsBiological EvolutionDisease ProgressionGlucoseHumansLactic AcidGlucoseLactic Acidbreast cancerevolutionary dynamicsmathematical modellingMCT1 expressionmetabolic reprogrammingphenotype-structured equations

Identifiers

PMID38196375
PMCPMC10777142
OpenAlexW4322757010

What OpenQuestion 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 OpenQuestion graph.