Real-world experience with circulating tumor DNA in cerebrospinal fluid from patients with central nervous system tumors.
Richard A HickmanAlexandra M MillerBridget M HolleJustin JeeSi-Yang LiuDara RossHelena YuGregory J RielyChristina OmbresAlexandra N GewirtzAnne S ReinerSubhiksha NandakumarAdam PriceThomas J KaleyMaya S GrahamChad VanderbiltSatshil RanaKatherine HillKiana ChabotCarl CamposKhedoudja NafaNeerav ShuklaMatthias KarajannisBob LiMichael BergerMarc LadanyiElena PentsovaAdrienne BoireA Rose BrannonTejus BaleIngo K MellinghoffMaria E ArcilaPublished in: Acta neuropathologica communications (2024)
The characterization of genetic alterations in tumor samples has become standard practice for many human cancers to achieve more precise disease classification and guide the selection of targeted therapies. Cerebrospinal fluid (CSF) can serve as a source of tumor DNA in patients with central nervous system (CNS) cancer. We performed comprehensive profiling of CSF circulating tumor DNA (ctDNA) in 711 patients using an FDA-authorized platform (MSK-IMPACT™) in a hospital laboratory. We identified genetic alterations in 489/922 (53.0%) CSF samples with clinically documented CNS tumors. None of 85 CSF samples from patients without CNS tumors had detectable ctDNA. The distribution of clinically actionable somatic alterations was consistent with tumor-type specific alterations across the AACR GENIE cohort. Repeated CSF ctDNA examinations from the same patients identified clonal evolution and emergence of resistance mechanisms. ctDNA detection was associated with shortened overall survival following CSF collection. Next-generation sequencing of CSF, collected through a minimally invasive lumbar puncture in a routine hospital setting, provides clinically actionable cancer genotype information in a large fraction of patients with CNS tumors.
Keyphrases
- circulating tumor
- cerebrospinal fluid
- cell free
- end stage renal disease
- circulating tumor cells
- minimally invasive
- ejection fraction
- newly diagnosed
- peritoneal dialysis
- chronic kidney disease
- prognostic factors
- healthcare
- blood brain barrier
- primary care
- emergency department
- single molecule
- single cell
- copy number
- dna methylation
- machine learning
- young adults
- genome wide
- clinical practice
- patient reported outcomes
- deep learning
- gene expression
- health information
- electronic health record
- robot assisted