TY - JOUR
T1 - Seq-ing the SINEs of central nervous system tumors in cerebrospinal fluid
AU - Douville, Christopher
AU - Curtis, Samuel
AU - Summers, Mahmoud
AU - Azad, Tej D.
AU - Rincon-Torroella, Jordina
AU - Wang, Yuxuan
AU - Mattox, Austin
AU - Avigdor, Bracha
AU - Dudley, Jonathan
AU - Materi, Joshua
AU - Raj, Divyaansh
AU - Nair, Sumil
AU - Bhanja, Debarati
AU - Tuohy, Kyle
AU - Dobbyn, Lisa
AU - Popoli, Maria
AU - Ptak, Janine
AU - Nehme, Nadine
AU - Silliman, Natalie
AU - Blair, Cherie
AU - Judge, Kathy
AU - Gallia, Gary L.
AU - Groves, Mari
AU - Jackson, Christopher M.
AU - Jackson, Eric M.
AU - Laterra, John
AU - Lim, Michael
AU - Mukherjee, Debraj
AU - Weingart, Jon
AU - Naidoo, Jarushka
AU - Koschmann, Carl
AU - Smith, Natalya
AU - Schreck, Karisa C.
AU - Pardo, Carlos A.
AU - Glantz, Michael
AU - Holdhoff, Matthias
AU - Kinzler, Kenneth W.
AU - Papadopoulos, Nickolas
AU - Vogelstein, Bert
AU - Bettegowda, Chetan
N1 - Publisher Copyright:
© 2023 The Author(s)
PY - 2023/8/15
Y1 - 2023/8/15
N2 - It is often challenging to distinguish cancerous from non-cancerous lesions in the brain using conventional diagnostic approaches. We introduce an analytic technique called Real-CSF (repetitive element aneuploidy sequencing in CSF) to detect cancers of the central nervous system from evaluation of DNA in the cerebrospinal fluid (CSF). Short interspersed nuclear elements (SINEs) are PCR amplified with a single primer pair, and the PCR products are evaluated by next-generation sequencing. Real-CSF assesses genome-wide copy-number alterations as well as focal amplifications of selected oncogenes. Real-CSF was applied to 280 CSF samples and correctly identified 67% of 184 cancerous and 96% of 96 non-cancerous brain lesions. CSF analysis was considerably more sensitive than standard-of-care cytology and plasma cell-free DNA analysis in the same patients. Real-CSF therefore has the capacity to be used in combination with other clinical, radiologic, and laboratory-based data to inform the diagnosis and management of patients with suspected cancers of the brain.
AB - It is often challenging to distinguish cancerous from non-cancerous lesions in the brain using conventional diagnostic approaches. We introduce an analytic technique called Real-CSF (repetitive element aneuploidy sequencing in CSF) to detect cancers of the central nervous system from evaluation of DNA in the cerebrospinal fluid (CSF). Short interspersed nuclear elements (SINEs) are PCR amplified with a single primer pair, and the PCR products are evaluated by next-generation sequencing. Real-CSF assesses genome-wide copy-number alterations as well as focal amplifications of selected oncogenes. Real-CSF was applied to 280 CSF samples and correctly identified 67% of 184 cancerous and 96% of 96 non-cancerous brain lesions. CSF analysis was considerably more sensitive than standard-of-care cytology and plasma cell-free DNA analysis in the same patients. Real-CSF therefore has the capacity to be used in combination with other clinical, radiologic, and laboratory-based data to inform the diagnosis and management of patients with suspected cancers of the brain.
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U2 - 10.1016/j.xcrm.2023.101148
DO - 10.1016/j.xcrm.2023.101148
M3 - Article
C2 - 37552989
AN - SCOPUS:85168016144
SN - 2666-3791
VL - 4
JO - Cell Reports Medicine
JF - Cell Reports Medicine
IS - 8
M1 - 101148
ER -