Evidence map›Paper›PMID 35113288›Full record

ArticleJournal of neuro-oncology2022

Quantitative assessment of circulating tumor cells in cerebrospinal fluid as a clinical tool to predict survival in leptomeningeal metastases.

Maria Diaz, Priya Singh, Ivan S Kotchetkov, Anna Skakodub, Alicia Meng, Christel Tamer, Robert J Young, Anne S Reiner, Katherine S Panageas, Lakshmi V Ramanathan and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of neuro-oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.6field-weighted citation impact, top 3% of its field
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

27 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
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  9. Article
  10. Leptomeningeal Disease: Current Approaches and Future Directions.Current neurology and neuroscience reports · 2025
    Review
  11. Review
  12. Advancing leptomeningeal metastases treatment inTranslational lung cancer research · 2025
    Article
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  14. Article
  15. 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

11 authors at 2 institutions in 1 country.

Maria DiazDepartment of Neurology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.ORCID http://orcid.org/0000-0001-9103-0202
Priya SinghHunter College, New York, NY, USA.
Ivan S KotchetkovDepartment of Neurology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
Anna SkakodubDepartment of Neurology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
Alicia MengDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Christel TamerDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Robert J YoungDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Anne S ReinerDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Katherine S PanageasDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Lakshmi V RamanathanDepartment of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Elena PentsovaDepartment of Neurology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA. pentsove@mskcc.org.
Memorial Sloan Kettering Cancer Center · USHunter College · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748NIH HHS P30-CA008748
6 · The paper itself

Abstract

purposeCirculating tumor cells in cerebrospinal fluid are a quantitative diagnostic tool for leptomeningeal metastases from solid tumors, but their prognostic significance is unclear. Our objective was to evaluate CSF-CTC quantification in predicting outcomes in LM.

methodsThis is a single institution retrospective study of patients with solid tumors who underwent CSF-CTC quantification using the CellSearch

resultsOut of 290 patients with CNS metastases, we identified a cohort of 101 patients with newly diagnosed LM. In this group, CSF-CTC count (median 200 CTCs/3 ml) predicted survival continuously (HR = 1.005, 95% CI: 1.002-1.009, p = 0.0027), and the risk of mortality doubled (HR = 2.84, 95% CI: 1.45-5.56, p = 0.0023) at the optimal cutoff of ≥ 61 CSF-CTCs/3 ml. Neuroimaging findings of LM (assessed by 3 independent neuroradiologists) were associated with a higher CSF-CTC count (median CSF-CTCs range 1.5-4 for patients without radiographic LM vs 200 for patients with radiographic LM, p < 0.001), but did not predict survival.

conclusionOur data shows that CSF-CTCs quantification predicts survival in newly diagnosed LM, and outperforms neuroimaging. CSF-CTC analysis can be used as a prognostic tool in patients with LM and provides quantitative assessment of disease burden in the CNS compartment.

Indexed as

Meningeal CarcinomatosisNeoplastic Cells, CirculatingBiomarkers, TumorCell CountHumansPrognosisRetrospective StudiesBiomarkers, TumorBiomarkerBrain metastasesCirculating tumor cellsLeptomeningeal metastases

Identifiers

PMID35113288
PMCPMC9119011
OpenAlexW4220862816

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.