Evidence map›Paper›PMID 37108611›Full record

ArticleInternational journal of molecular sciences2023

Crosstalk between Metabolite Production and Signaling Activity in Breast Cancer.

Cankut Çubuk, Carlos Loucera, María Peña-Chilet, Joaquin Dopazo

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

4 authors.

Cankut ÇubukComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain.
Carlos LouceraComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain.ORCID 0000-0001-9598-6965
María Peña-ChiletComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain.ORCID 0000-0002-6445-9617
Joaquin DopazoComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain.ORCID 0000-0003-3318-120X

Funding

Instituto de Salud Carlos III IMP/00019Instituto de Salud Carlos III PI20/01305Regional Government of Andalusia PAIDI2020- DOC_00350Regional Government of Andalusia PE-0002-2018Spanish Ministry of Science and Innovation PID2020-117979RB-I00
6 · The paper itself

Abstract

The reprogramming of metabolism is a recognized cancer hallmark. It is well known that different signaling pathways regulate and orchestrate this reprogramming that contributes to cancer initiation and development. However, recent evidence is accumulating, suggesting that several metabolites could play a relevant role in regulating signaling pathways. To assess the potential role of metabolites in the regulation of signaling pathways, both metabolic and signaling pathway activities of Breast invasive Carcinoma (BRCA) have been modeled using mechanistic models. Gaussian Processes, powerful machine learning methods, were used in combination with SHapley Additive exPlanations (SHAP), a recent methodology that conveys causality, to obtain potential causal relationships between the production of metabolites and the regulation of signaling pathways. A total of 317 metabolites were found to have a strong impact on signaling circuits. The results presented here point to the existence of a complex crosstalk between signaling and metabolic pathways more complex than previously was thought.

Indexed as

Breast NeoplasmsFemaleHumansMachine LearningMetabolic Networks and PathwaysSignal Transductionartificial intelligencebreast cancercrosstalkmachine learningmathematical modelingmetabolismsignaling pathway

Identifiers

PMID37108611
PMCPMC10138666

What OpenQuestion holds

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Registered trials

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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.