Evidence map›Paper›PMID 40075672›Full record

ArticleCancers2025

Longitudinal CSF Tumor Cell Enumeration and Mutational Analysis as a Driver for Leptomeningeal Disease Management.

Arushi Tripathy, Pericles Corkos, Barbara Blouw, Deondra A Montgomery, Melissa Moore, Marc H Hedrick, Michael Youssef, Priya U Kumthekar

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

8 authors.

Arushi TripathyDepartment of Neurosurgery, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-5635-6036
Pericles CorkosAGEA Biotechnologies, San Diego, CA 92101, USA.
Barbara BlouwPlus Therapeutics, Austin, TX 78756, USA.
Deondra A MontgomeryCollege of Human Medicine, Michigan State University, East Lansing, MI 48808, USA.
Melissa MoorePlus Therapeutics, Austin, TX 78756, USA.
Marc H HedrickPlus Therapeutics, Austin, TX 78756, USA.
Michael YoussefDepartment of Neurology, University of Southwestern Medical Center, Dallas, TX 75390, USA.
Priya U KumthekarNeurology (Neuro-Oncology) and Medicine (Hematology and Oncology), Northwestern Medicine Lou and Jean Malani Brain Tumor Institute, Chicago, IL 60611, USA.ORCID 0000-0001-5923-0677

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeptomeningeal disease (LMD) is challenging to diagnose and monitor given the poor sensitivity of current gold-standard diagnostics. Cerebrospinal fluid tumor cells (CSF-TCs) have been studied as a biomarker for disease management because oncogene amplification of the primary, metastatic, and CNS metastatic tumors can be heterogeneous. The CNSide platform enumerates CSF-TCs and analyzes oncogene expression via immunocytochemistry (ICC), fluorescent in situ hybridization (FISH), and next-generation sequencing (NGS). We report the utility of this combined enumerative and mutational testing for LMD diagnosis and disease monitoring.

methodsA multicenter, retrospective analysis of commercially ordered assays from two health systems between January 2020 and July 2023 included 613 tests on 218 individual patients with suspected or confirmed LMD. To date, this is the largest cohort of patients in LMD literature evaluated using CSF-TCs.

resultsCSF-TCs were detected in 67% (412/613) of samples. The most analyzed cancer types were breast (

conclusionsLongitudinal combined ICC/FISH/NGS CSF testing demonstrates a wide range in CSF-TC enumeration, which may be correlated with clinical course, and furthermore identifies actionable tumor markers that frequently fluctuate over time. Utilization of this platform would enable timely, personalized LMD-specific chemotherapy.

Indexed as

biomarkerscerebrospinal fluid cytologycerebrospinal fluid tumor cellsCNSideleptomeningeal disease

Identifiers

PMID40075672
PMCPMC11899081

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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.