4.7 Article

Exploratory Profiling of Extracellular MicroRNAs in Cerebrospinal Fluid Comparing Leptomeningeal Metastasis with Other Central Nervous System Tumor Statuses

Journal

JOURNAL OF CLINICAL MEDICINE
Volume 10, Issue 21, Pages -

Publisher

MDPI
DOI: 10.3390/jcm10214860

Keywords

leptomeningeal metastasis; cerebrospinal fluid; microRNA; microarray; biomarker

Funding

  1. National Cancer Center, Republic of Korea [NCC 2110531-1]
  2. Korea Health Industry Development Institute
  3. Ministry of Health and Welfare, Republic of Korea [HI17C1018]

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The study demonstrated the potential of extracellular microRNAs in cerebrospinal fluid as biomarkers for the diagnosis and pathogenesis study of leptomeningeal metastasis (LM). The unique miRNA profile in LM compared to brain metastasis (BM) suggests the importance of miRNAs in understanding LM pathogenesis.
The diagnosis of leptomeningeal metastasis (LM) is often difficult due to the paucity of cancer cells in cerebrospinal fluid (CSF) and nonspecific findings on neuroimaging. Investigations of extracellular microRNAs (miRNAs) in CSF could be used for both the diagnosis and study of LM pathogenesis because they reflect the activity of disseminating cancer cells. We isolated CSF extracellular miRNAs from patients (n = 65) of different central nervous system tumor statuses, including cancer control, healthy control, LM, brain metastasis (BM), and primary brain tumor (BT) groups, and performed miRNA microarrays. In unsupervised clustering analyses, all LM and two BM samples showed unique profiles. Among 30 miRNAs identified for LM-specific biomarkers via a Prediction Analysis of Microarrays, miR-335-5p and miR-34b-3p were confirmed in both the discovery and validation samples (n = 23). Next, we performed a significance analysis of the microarray (SAM) to extract discriminative miRNA profiles of two selected CSF groups, with LM samples revealing a greater number of discriminative miRNAs than BM and BT samples compared to controls. Using SAM comparisons between LM and BM samples, we identified 30 upregulated and 6 downregulated LM miRNAs. To reduce bias from different primary cancers, we performed a subset analysis with primary non-small cell lung cancer, and 12 of 13 upregulated miRNAs in LM vs. BM belonged to the upregulated miRNAs in LM. We identified possible target genes and their biological processes that could be affected by LM discriminative miRNAs in NSCLC using the gene ontology database. In conclusion, we identified a unique extracellular miRNA profile in LM CSF that was different from BM, suggesting the use of miRNAs as LM biomarkers in studies of LM pathogenesis.

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