Evidence map›Paper›PMID 38347328›Full record

ArticleBulletin of mathematical biology2024

A Model for Membrane Degradation Using a Gelatin Invadopodia Assay.

Giorgia Ciavolella, Nathalie Ferrand, Michéle Sabbah, Benoît Perthame, Roberto Natalini

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In one paragraph

Article in Bulletin of mathematical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 3 institutions in 2 countries.

Giorgia CiavolellaInria Centre de l'Université de Bordeaux, Institut de Mathématiques de Bordeaux, CNRS UMR 5251, 351 cours de la Libération, 33405, Talence Cedex, France. giorgia.ciavolella@inria.fr.ORCID 0000-0002-6614-3966
Nathalie FerrandSorbonne Université Cancer Biology and Therapeutics, INSERM, CNRS, Institut Universitaire de Cancérologie, Saint- Antoine Research Center (CRSA), 75012, Paris, France.
Michéle SabbahSorbonne Université Cancer Biology and Therapeutics, INSERM, CNRS, Institut Universitaire de Cancérologie, Saint- Antoine Research Center (CRSA), 75012, Paris, France.
Benoît PerthameSorbonne Université, Inria, Université de Paris, Laboratoire Jacques-Louis Lions, UMR7598, 4 place Jussieu, 75005, Paris, France.
Roberto NataliniIstituto per le Applicazioni del Calcolo 'M.Picone', Rome, Italy.
Centre National de la Recherche Scientifique · FRIstituto per le Applicazioni del Calcolo Mauro Picone · ITUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most crucial and lethal characteristics of solid tumors is represented by the increased ability of cancer cells to migrate and invade other organs during the so-called metastatic spread. This is allowed thanks to the production of matrix metalloproteinases (MMPs), enzymes capable of degrading a type of collagen abundant in the basal membrane separating the epithelial tissue from the connective one. In this work, we employ a synergistic experimental and mathematical modelling approach to explore the invasion process of tumor cells. A mathematical model composed of reaction-diffusion equations describing the evolution of the tumor cells density on a gelatin substrate, MMPs enzymes concentration and the degradation of the gelatin is proposed. This is completed with a calibration strategy. We perform a sensitivity analysis and explore a parameter estimation technique both on synthetic and experimental data in order to find the optimal parameters that describe the in vitro experiments. A comparison between numerical and experimental solutions ends the work.

Indexed as

PodosomesExtracellular MatrixGelatinHumansMathematical ConceptsMatrix MetalloproteinasesModels, BiologicalNeoplasm InvasivenessGelatinMatrix MetalloproteinasesFinite difference methodsParameter estimationReaction-diffusion equationsSensitivity analysisTumour degradation and invasion models

Identifiers

PMID38347328
OpenAlexW4391673475

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.