Evidence map›Paper›PMID 39403339›Full record

ReviewFrontiers in oncology2024

Applications of cerebrospinal fluid circulating tumor cells and circulating tumor-derived DNA in diagnosis, prognosis, and personalized treatment of CNS metastases.

Elena Pentsova

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2024. 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. Article
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

1 author.

Elena PentsovaDepartment of Neurology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

A common feature of advanced solid tumors is their ability to metastasize and colonize distant organs, including the Central Nervous System (CNS), which encompasses brain and leptomeningeal metastases (LM). While cerebrospinal fluid cytopathological analysis remains a gold standard diagnostic tool, it only provides limited insights into the biology of tumor cells; thus, it is urgent to develop minimally invasive biomarkers that enable a comprehensive quantitative and molecular characterization of disseminated cells, therapy response assessment, and disease monitoring. Liquid biopsy methods have been swiftly developed for some readily accessible bodily fluids such as plasma and urine; circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA) from these sources have been rapidly implemented into clinical trial design, disease monitoring, and treatment assignment across different tumor types. However, the filter imposed by the brain blood barrier (BBB) hampers the release of tumor-derived cells and molecules from CNS metastases. Crucially, cerebrospinal fluid (CSF) liquid biopsy methods offer a unique and unparallel source to develop liquid biopsy methodologies in patients with CNS-disseminated disease, including the characterization of CTCs and ctDNA arising specifically from brain and leptomeningeal metastasis. These technologies have enabled a deeper understanding of tumor cell and molecular dynamics, including the reconstruction of clonal evolution in the brain microenvironment through longitudinal sapling. Here, we discuss the current challenges and opportunities that CSF liquid biopsy methods face for the implementation of these approaches into clinical settings.

Indexed as

biomarkersbrain metastasiscerebrospinal fluidleptomeningeal metastasisliquid biopsy

Identifiers

PMID39403339
PMCPMC11471434

What Socratic 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 Socratic graph.