scholarly journals Detection of Leptomeningeal Disease Using Cell-Free DNA From Cerebrospinal Fluid

2021 ◽  
Vol 4 (8) ◽  
pp. e2120040
Author(s):  
Michael D. White ◽  
Robert H. Klein ◽  
Brian Shaw ◽  
Albert Kim ◽  
Megha Subramanian ◽  
...  
2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi10-vi10
Author(s):  
Michael White ◽  
Robert Klein ◽  
Brian Shaw ◽  
Albert Kim ◽  
Megha Subramanian ◽  
...  

Abstract Leptomeningeal disease is a devastating complication of cancer that is frequently underdiagnosed due to the low sensitivity of cerebrospinal fluid cytology, the current gold-standard diagnostic method. We performed genomic sequencing on cerebrospinal fluid specimens obtained from patients with suspected or confirmed leptomeningeal disease to identify tumor-derived cell-free DNA. From the same fluid draw, cerebrospinal fluid cytology was assayed for comparison. 30 patients underwent cytology and cell-free DNA analysis. This study consisted of two patient populations: 22 patients with cytology-confirmed leptomeningeal disease without parenchymal tumors abutting their cerebrospinal fluid and 8 patients with parenchymal brain metastases with no evidence of leptomeningeal disease. The primary outcome was the diagnostic accuracy of cell-free DNA, defined as the number of correct diagnoses out of the total number of tests assayed. A total of 30 patients, 23 female and 7 male, with a median age of 51 participated in this study. Participants mostly presented with metastatic solid malignancies. In patients previously diagnosed with leptomeningeal disease via cytology with no parenchymal tumor abutting cerebrospinal fluid, cell-free DNA was accurate in diagnosis of leptomeningeal disease in 45 of 48 follow-up samples (94%; 95% CI, 83%-99%). Cytology was accurate in 36 of 48 follow-up samples (75%; 95% CI, 60%-86%). Cell-free DNA was significantly more accurate (P=.02) and sensitive (P=.02) than cytology in patients without parenchymal tumors abutting the cerebrospinal fluid. In three patients with parenchymal brain metastases abutting the cerebrospinal fluid and no suspicion for leptomeningeal disease, cytology was negative in all three patients; whereas, cell-free DNA was positive in all three. This study demonstrates the improved sensitivity and accuracy of cell-free DNA in diagnosing leptomeningeal disease with the exception of parenchymal tumors abutting cerebrospinal fluid. Overall, these results will lead to improved diagnosis of leptomeningeal disease and potentially earlier intervention and clinical trial enrollment.


2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Zimeng Ye ◽  
Zac Chatterton ◽  
Jahnvi Pflueger ◽  
John A Damiano ◽  
Lara McQuillan ◽  
...  

Abstract Brain somatic mutations are an increasingly recognized cause of epilepsy, brain malformations and autism spectrum disorders and may be a hidden cause of other neurodevelopmental and neurodegenerative disorders. At present, brain mosaicism can be detected only in the rare situations of autopsy or brain biopsy. Liquid biopsy using cell-free DNA derived from cerebrospinal fluid has detected somatic mutations in malignant brain tumours. Here, we asked if cerebrospinal fluid liquid biopsy can be used to detect somatic mosaicism in non-malignant brain diseases. First, we reliably quantified cerebrospinal fluid cell-free DNA in 28 patients with focal epilepsy and 28 controls using droplet digital PCR. Then, in three patients we identified somatic mutations in cerebrospinal fluid: in one patient with subcortical band heterotopia the LIS1 p. Lys64* variant at 9.4% frequency; in a second patient with focal cortical dysplasia the TSC1 p. Phe581His*6 variant at 7.8% frequency; and in a third patient with ganglioglioma the BRAF p. Val600Glu variant at 3.2% frequency. To determine if cerebrospinal fluid cell-free DNA was brain-derived, whole-genome bisulphite sequencing was performed and brain-specific DNA methylation patterns were found to be significantly enriched (P = 0.03). Our proof of principle study shows that cerebrospinal fluid liquid biopsy is valuable in investigating mosaic neurological disorders where brain tissue is unavailable.


2020 ◽  
Author(s):  
Adam J. Olszewski ◽  
Anna Chorzalska ◽  
Diana O. Treaba ◽  
John L. Reagan ◽  
Andrew Hsu ◽  
...  

2018 ◽  
Vol 20 (suppl_6) ◽  
pp. vi112-vi112
Author(s):  
Jun-ichi Adachi ◽  
Tomonari Suzuki ◽  
Kazuhiko Mishima ◽  
Ryo Nishikawa

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 2070-2070
Author(s):  
Jianfei Wang ◽  
Wenbo Han ◽  
Chen Tian ◽  
Ying Hu ◽  
Yanhui Chen ◽  
...  

2070 Background: Because detecting tumor-derived cell free DNA (cfDNA) in the blood of patients with primary or metastatic brain tumors is challenging, here we studied whether cerebrospinal fluid (CSF) could be serve as an alternative “liquid biopsy” by enabling measurement of circulating DNA within CSF to characterize tumor specific mutations. Methods: The paired cfDNA in CSF and plasma were collected from 20 patients with brain tumors and was subjected to enrichment for a 1.15M size panel cover exon regions from 1,086 genes. Followed by next generation sequencing on an Illumina X10 platform, the captured sequencing data was further processed using bioinformatics analysis to identify somatic mutations, including single nucleotide variants (SNV) and short insertions/deletions (indels). Results: The mutation profiles of 48 tumor associated genes in cfDNA were compared between the CSF and plasma. Our results showed that both average somatic mutation number and frequency identified in the cerebrospinal fluid was much higher than that in the corresponding plasma samples (25 vs. 18 & 1.39% vs. 0.55%). Among the twenty cases, one more potential actionable mutation, EGFR exon 19 deletion mutation with a 25.38% allele frequency variation, was only detected in the CSF cfDNA of a patient with brain metastasis lung cancer. Conclusions: Tumor mutations were detectable in CSF cfDNA of patients with different primary and metastatic brain tumors. Thus cerebrospinal fluid cell free DNA analysis could be a potential alternative analysis for patients with primary or metastatic brain tumors.


2017 ◽  
Vol 135 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Ian David Connolly ◽  
Yingmei Li ◽  
Wenying Pan ◽  
Eli Johnson ◽  
Linya You ◽  
...  

2020 ◽  
Vol 81 (5) ◽  
pp. 416-421
Author(s):  
Amy C. Stark ◽  
Stephanie McGrath ◽  
Marta Karn ◽  
Christine E. Thomson

Author(s):  
Adam J. Olszewski ◽  
Anna Chorzalska ◽  
Habibe Kurt ◽  
Thomas A. Ollila ◽  
Diana O. Treaba ◽  
...  

2018 ◽  
Vol 10 (12) ◽  
Author(s):  
Florent Mouliere ◽  
Richard Mair ◽  
Dineika Chandrananda ◽  
Francesco Marass ◽  
Christopher G Smith ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document