Evidence map›Paper›PMID 39433780›Full record

ArticleNPJ systems biology and applications2024

Emergence of cyclic hypoxia and the impact of PARP inhibitors on tumor progression.

Martina Conte, Vanesa Cabeza Fernández, F Javier Oliver, Tomás Alarcón, Juan Soler

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2024. 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. 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

5 authors.

Martina ConteDepartment of Mathematical, Physical and Computer Sciences, University of Parma, Parco Area delle Scienze 53/A, 43124, Parma, Italy. martina.conte@unipr.it.
Vanesa Cabeza FernándezInstitute of Parasitology and Biomedicine López-Neyra, CSIC, Parque Tecnológico de Ciencias de la Salud, Avenida del Conocimiento 17, Armilla, 18016, Spain.
F Javier OliverInstitute of Parasitology and Biomedicine López-Neyra, CSIC, Parque Tecnológico de Ciencias de la Salud, Avenida del Conocimiento 17, Armilla, 18016, Spain.
Tomás AlarcónInstitució Catalana de Recerca i Estudis Avançats (ICREA), Passeig de Lluís Companys 23, Barcelona, 08010, Spain.
Juan SolerDepartamento de Matemática Aplicada and Research Unit "Modeling Nature" (MNat), Universidad de Granada, Avenida de la Fuente Nueva S/N, Granada, 18071, Spain. jsoler@ugr.es.

Funding

Generalitat de Catalunya (Government of Catalonia) CERCA ProgramIsaac Newton Institute for Mathematical Sciences (Isaac Newton Institute) EP/R014604/1Istituto Nazionale di Alta Matematica "Francesco Severi" (Istituto Nazionale di Alta Matematica "F. Severi") CUP E53C22001930001Junta de Andalucía QUAL21-011Ministero dell'Istruzione, dell'Università e della Ricerca (Ministry of Education, University and Research) E11G18000350001Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) CEX2020-001084-MMinistry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) PID2021-127896OB-I00Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) RTI2018-098968-B-I00
6 · The paper itself

Abstract

Tumor hypoxia is a dynamic phenomenon marked by fluctuations in oxygen levels across both rapid (seconds to minutes) and slow (hours to days) time scales. While short hypoxia cycles are relatively well understood, the mechanisms behind longer cycles remain largely unclear. In this paper, we present a novel mechanistic mathematical model that explains slow hypoxia cycles through feedback loops involving vascular expansion and regression, oxygen-regulated tumor growth, and toxic cytokine production. Our study reveals that, for the emergence of slow hypoxia cycles, endothelial cells must adapt by decreasing receptor activation as ligand concentration increases. Additionally, the interaction between tumor cells and toxic cytokines influences frequency and intensity of these cycles. By examining the effects of pharmacological interventions, specifically poly (ADP-ribose) polymerase inhibitors, we also demonstrate how targeting cell proliferation can help regulate oxygen levels. Our findings enhance the understanding of hypoxia regulation and suggest PARP proteins as promising therapeutic targets.

Indexed as

NeoplasmsPoly(ADP-ribose) Polymerase InhibitorsTumor HypoxiaCell ProliferationCytokinesDisease ProgressionHumansModels, BiologicalOxygenPoly(ADP-ribose) PolymerasesCytokinesOxygenPoly(ADP-ribose) Polymerase InhibitorsPoly(ADP-ribose) Polymerases

Identifiers

PMID39433780
PMCPMC11494044

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.