Evidence map›Paper›PMID 37652007›Full record

ArticleCancer cell2023

Machine learning identifies experimental brain metastasis subtypes based on their influence on neural circuits.

Alberto Sanchez-Aguilera, Mariam Masmudi-Martín, Andrea Navas-Olive, Patricia Baena, Carolina Hernández-Oliver, Neibla Priego, Lluís Cordón-Barris, Laura Alvaro-Espinosa, Santiago García, Sonia Martínez and 6 more

Abstract read
In one paragraph

Article in Cancer cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
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  5. Analysis of the current status and influencing factors of cognitive impairment in patients with different cancer types: a cross-sectional study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
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  11. Value of artificial intelligence in neuro-oncology.The Lancet. Digital health · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Alberto Sanchez-AguileraInstituto Cajal, CSIC, 28002 Madrid, Spain.
Mariam Masmudi-MartínBrain Metastasis Group, CNIO, 28029 Madrid, Spain.
Andrea Navas-OliveInstituto Cajal, CSIC, 28002 Madrid, Spain.
Patricia BaenaBrain Metastasis Group, CNIO, 28029 Madrid, Spain.
Carolina Hernández-OliverBrain Metastasis Group, CNIO, 28029 Madrid, Spain.
Neibla PriegoBrain Metastasis Group, CNIO, 28029 Madrid, Spain.
Lluís Cordón-BarrisBrain Metastasis Group, CNIO, 28029 Madrid, Spain.
Laura Alvaro-EspinosaBrain Metastasis Group, CNIO, 28029 Madrid, Spain.
Santiago GarcíaBioinformatics Unit, CNIO, Madrid, Spain.
Sonia MartínezExperimental Therapeutics Programme, CNIO, 28029 Madrid, Spain.
Miguel LafargaDepartment of Anatomy and Cell Biology and CIBERNED, University of Cantabria- IDIVAL, 39011 Santander, Spain.
RENACER
Michael Z LinDepartments of Neurobiology and Bioengineering, Stanford University, Stanford, CA 94305-5090, USA.
Fátima Al-ShahrourBioinformatics Unit, CNIO, Madrid, Spain.
Liset Menendez de la PridaInstituto Cajal, CSIC, 28002 Madrid, Spain. Electronic address: lmprida@cajal.csic.es.
Manuel ValienteBrain Metastasis Group, CNIO, 28029 Madrid, Spain. Electronic address: mvaliente@cnio.es.

Funding

Bioluminescent indicators for noninvasive imaging of acetylcholine releaseR21NS122055 · NINDS · STANFORD UNIVERSITY · PI LIN, MICHAEL Z. · 2021 to 2021
$434k
NINDS NIH HHS R21 NS122055
6 · The paper itself

Abstract

A high percentage of patients with brain metastases frequently develop neurocognitive symptoms; however, understanding how brain metastasis co-opts the function of neuronal circuits beyond a tumor mass effect remains unknown. We report a comprehensive multidimensional modeling of brain functional analyses in the context of brain metastasis. By testing different preclinical models of brain metastasis from various primary sources and oncogenic profiles, we dissociated the heterogeneous impact on local field potential oscillatory activity from cortical and hippocampal areas that we detected from the homogeneous inter-model tumor size or glial response. In contrast, we report a potential underlying molecular program responsible for impairing neuronal crosstalk by scoring the transcriptomic and mutational profiles in a model-specific manner. Additionally, measurement of various brain activity readouts matched with machine learning strategies confirmed model-specific alterations that could help predict the presence and subtype of metastasis.

Indexed as

Brain NeoplasmsBrainGene Expression ProfilingHumansMachine LearningMutationbiomarkersbrain circuit impactbrain metastasiscancer neurosciencedecision treeselectrophysiologyelta oscillationsgamma oscillations

Identifiers

PMID37652007
PMCPMC10507426

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.