Longitudinal CSF Tumor Cell Enumeration and Mutational Analysis as a Driver for Leptomeningeal Disease Management
- 1Department of Neurosurgery, University of Michigan, Ann Arbor, MI 48109, USA.
- 2AGEA Biotechnologies, San Diego, CA 92101, USA.
- 3Plus Therapeutics, Austin, TX 78756, USA.
- 4College of Human Medicine, Michigan State University, East Lansing, MI 48808, USA.
- 5Department of Neurology, University of Southwestern Medical Center, Dallas, TX 75390, USA.
- 6Neurology (Neuro-Oncology) and Medicine (Hematology and Oncology), Northwestern Medicine Lou and Jean Malani Brain Tumor Institute, Chicago, IL 60611, USA.
- 0Department of Neurosurgery, University of Michigan, Ann Arbor, MI 48109, USA.
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View abstract on PubMed
Summary
This summary is machine-generated.Cerebrospinal fluid tumor cells (CSF-TCs) detected by the CNSide platform offer a sensitive method for diagnosing and monitoring leptomeningeal disease (LMD). This approach identifies actionable biomarkers that change over time, enabling personalized treatment strategies.
Area Of Science
- Neuro-oncology
- Molecular Diagnostics
- Cancer Biomarkers
Background
- Leptomeningeal disease (LMD) diagnosis and monitoring are challenging due to the low sensitivity of current methods.
- Cerebrospinal fluid tumor cells (CSF-TCs) are being investigated as biomarkers, but their heterogeneity poses challenges.
- The CNSide platform combines CSF-TC enumeration with oncogene analysis (ICC, FISH, NGS) for improved LMD management.
Purpose Of The Study
- To evaluate the utility of the CNSide platform for diagnosing and monitoring LMD.
- To assess the diagnostic and monitoring capabilities of combined CSF-TC enumeration and mutational analysis.
- To report on the largest cohort to date of LMD patients evaluated using CSF-TCs.
Main Methods
- A multicenter, retrospective analysis of 613 commercially ordered assays from 218 patients with suspected or confirmed LMD (January 2020 - July 2023).
- Utilized the CNSide platform for CSF-TC enumeration and oncogene expression analysis via ICC, FISH, and NGS.
- Included longitudinal CSF draws for a subset of patients to assess biomarker changes over time.
Main Results
- CSF-TCs were detected in 67% of samples.
- Commonly analyzed cancers included breast (n=105) and lung (n=65).
- Actionable markers like ALK, c-MET, HER2, and ER were detected. Longitudinal analysis revealed biomarker fluctuations in 30% of patients, with 58 oncogene detection 'flips' observed.
Conclusions
- Longitudinal CSF testing using the CNSide platform shows variable CSF-TC counts potentially correlating with clinical course.
- This platform identifies actionable tumor markers that frequently fluctuate, supporting personalized LMD treatment.
- The combined approach enables timely, personalized chemotherapy for LMD patients.
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