Evidence map›Paper›PMID 42098393›Full record

ReviewMolecular diagnosis & therapy2026

Liquid Biopsy in Primary CNS Tumors: Bridging Biology, Technology, and Clinical Care.

Catalina Trejo-Becerril, Ariela Souroujon-Torun, Lucia Taja-Chayeb, Alexandra Díaz-Alba, Enrique Caballé-Pérez, David Aguilar-Cardoso, Sylvia Harari-Arakindji, Alejandro Rodríguez-Camacho, Sergio Moreno-Jimenez, Rogelio Trejo and 4 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular diagnosis & therapy, 2026. 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

14 authors.

Catalina Trejo-Becerril *Precision Medicine Laboratory, Instituto Nacional de Cancerología, Mexico, Mexico.
Ariela Souroujon-Torun *Precision Medicine Laboratory, Instituto Nacional de Cancerología, Mexico, Mexico.
Lucia Taja-ChayebPrecision Medicine Laboratory, Instituto Nacional de Cancerología, Mexico, Mexico.
Alexandra Díaz-AlbaNeuro-Oncology Clinic, Instituto Jalisciense de Cancerología, Mexico, Mexico.
Enrique Caballé-PérezNeuro-Oncology Functional Unit, Instituto Nacional de Cancerología, Mexico, Mexico.
David Aguilar-CardosoPrecision Medicine Laboratory, Instituto Nacional de Cancerología, Mexico, Mexico.
Sylvia Harari-ArakindjiPrecision Medicine Laboratory, Instituto Nacional de Cancerología, Mexico, Mexico.
Alejandro Rodríguez-CamachoNeuro-Oncology Functional Unit, Instituto Nacional de Cancerología, Mexico, Mexico.
Sergio Moreno-JimenezNeurosurgery Department, Instituto Nacional de Neurología y Neurocirugía, Mexico, Mexico.
Rogelio TrejoNeuro-Oncology Functional Unit, Instituto Nacional de Cancerología, Mexico, Mexico.
Alipio González-VázquezNeuro-Oncology Functional Unit, Instituto Nacional de Cancerología, Mexico, Mexico.
José Omar Navarro-FernándezNeuro-Oncology Functional Unit, Instituto Nacional de Cancerología, Mexico, Mexico.
Bernardo Cacho-DíazNeuro-Oncology Functional Unit, Instituto Nacional de Cancerología, Mexico, Mexico.
Talia Wegman-OstroskyPrecision Medicine Laboratory, Instituto Nacional de Cancerología, Mexico, Mexico. taliaw@gmail.com.ORCID http://orcid.org/0000-0002-3207-6697

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liquid biopsy has emerged as a minimally invasive approach for the molecular characterization and longitudinal monitoring of primary central nervous system (CNS) tumors. Although extensively validated in systemic malignancies, its clinical application in CNS tumors is challenged by the blood-brain barrier, low analyte abundance, and heterogeneous assay performance. Recent advances have expanded the spectrum of detectable tumor-derived components, including circulating tumor DNA (ctDNA), cell-free DNA, extracellular vesicles, RNA species, nucleosomes, metabolites, and lipids, across multiple biofluids such as cerebrospinal fluid (CSF), plasma, serum, urine, saliva, and tears. The aim of this study was to review the biological foundations, analytes, biofluids, clinical applications, and technical limitations of liquid biopsy in primary CNS tumors, with emphasis on diagnostic, prognostic, and surveillance value. We synthesized current evidence on tumor-derived analytes detectable through liquid biopsy, their molecular correlates, and their performance across biofluids. CSF is consistently the most informative biofluid for CNS tumors, with higher analyte concentration and superior concordance with tumor tissue compared with plasma. CtDNA in CSF reliably identifies hallmark alterations, including IDH1/2, H3K27M, TERT, BRAF, ATRX, TP53, 1p/19q codeletion, and MYCN amplification, thereby enabling better diagnosis, molecular classification, and therapeutic stratification. Plasma-based assays are less sensitive but remain valuable for longitudinal monitoring, especially when combined with ultrasensitive sequencing or fragmentomic approaches. Emerging biomarkers, including nucleosome footprints, exosomes, proteins, microRNA (miRNA)/long noncoding RNA (lncRNA)/circular RNA (circRNA) signatures, lipidomic panels, and metabolites such as D-2-hydroxyglutarate, show potential for integration into multimodal diagnostics. Liquid biopsy provides a powerful and rapidly evolving tool for the minimally invasive molecular assessment of CNS tumors. While CSF remains the optimal matrix for diagnosis and characterization, advances in ultrasensitive detection methods increasingly support the feasibility of plasma and urine for longitudinal follow-up. Integrating liquid biopsy with advanced imaging and tissue-based data will likely transform diagnostic accuracy, therapeutic decision-making, and real-time monitoring of CNS tumors.

Indexed as

Biomarkers, TumorCentral Nervous System NeoplasmsCirculating Tumor DNAHumansLiquid BiopsyPrognosisBiomarkers, TumorCirculating Tumor DNA

Identifiers

What Socratic 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 Socratic graph.