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

IMPORTANCE: Leptomeningeal disease (LMD) is a devastating complication of cancer that is frequently underdiagnosed owing to the low sensitivity of cerebrospinal fluid (CSF) cytologic assessment, the current benchmark diagnostic method. Improving diagnostic sensitivity may lead to improved treatment...

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Autores principales: White, Michael D., Klein, Robert H., Shaw, Brian, Kim, Albert, Subramanian, Megha, Mora, Joana L., Giobbie-Hurder, Anita, Nagabhushan, Deepika, Jain, Aarushi, Singh, Mohini, Kuter, Benjamin M., Nayyar, Naema, Bertalan, Mia S., Stocking, Jackson H., Markson, Samuel C., Lastrapes, Matthew, Alvarez-Breckenridge, Christopher, Cahill, Daniel P., Gydush, Gregory, Rhoades, Justin, Rotem, Denisse, Adalsteinsson, Viktor A., Mahar, Maura, Kaplan, Alexander, Oh, Kevin, Sullivan, Ryan J., Gerstner, Elizabeth, Carter, Scott L., Brastianos, Priscilla K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353541/
https://www.ncbi.nlm.nih.gov/pubmed/34369989
http://dx.doi.org/10.1001/jamanetworkopen.2021.20040
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author White, Michael D.
Klein, Robert H.
Shaw, Brian
Kim, Albert
Subramanian, Megha
Mora, Joana L.
Giobbie-Hurder, Anita
Nagabhushan, Deepika
Jain, Aarushi
Singh, Mohini
Kuter, Benjamin M.
Nayyar, Naema
Bertalan, Mia S.
Stocking, Jackson H.
Markson, Samuel C.
Lastrapes, Matthew
Alvarez-Breckenridge, Christopher
Cahill, Daniel P.
Gydush, Gregory
Rhoades, Justin
Rotem, Denisse
Adalsteinsson, Viktor A.
Mahar, Maura
Kaplan, Alexander
Oh, Kevin
Sullivan, Ryan J.
Gerstner, Elizabeth
Carter, Scott L.
Brastianos, Priscilla K.
author_facet White, Michael D.
Klein, Robert H.
Shaw, Brian
Kim, Albert
Subramanian, Megha
Mora, Joana L.
Giobbie-Hurder, Anita
Nagabhushan, Deepika
Jain, Aarushi
Singh, Mohini
Kuter, Benjamin M.
Nayyar, Naema
Bertalan, Mia S.
Stocking, Jackson H.
Markson, Samuel C.
Lastrapes, Matthew
Alvarez-Breckenridge, Christopher
Cahill, Daniel P.
Gydush, Gregory
Rhoades, Justin
Rotem, Denisse
Adalsteinsson, Viktor A.
Mahar, Maura
Kaplan, Alexander
Oh, Kevin
Sullivan, Ryan J.
Gerstner, Elizabeth
Carter, Scott L.
Brastianos, Priscilla K.
author_sort White, Michael D.
collection PubMed
description IMPORTANCE: Leptomeningeal disease (LMD) is a devastating complication of cancer that is frequently underdiagnosed owing to the low sensitivity of cerebrospinal fluid (CSF) cytologic assessment, the current benchmark diagnostic method. Improving diagnostic sensitivity may lead to improved treatment decisions. OBJECTIVE: To assess whether cell-free DNA (cfDNA) analysis of CSF may be used to diagnose LMD more accurately than cytologic analysis. DESIGN, SETTING, AND PARTICIPANTS: This diagnostic study conducted in a neuro-oncology clinic at 2 large, tertiary medical centers assessed the use of genomic sequencing of CSF samples obtained from 30 patients with suspected or confirmed LMD from 2015 through 2018 to identify tumor-derived cfDNA. From the same CSF samples, cytologic analyses were conducted, and the results of the 2 tests were compared. This study consisted of 2 patient populations: 22 patients with cytologically confirmed LMD without parenchymal tumors abutting their CSF and 8 patients with parenchymal brain metastases with no evidence of LMD. Patients were considered positive for the presence of LMD if previous CSF cytologic analysis was positive for malignant cells. The analysis was conducted from 2015 to 2018. MAIN OUTCOMES AND MEASURES: The primary outcome was the diagnostic accuracy of cfDNA analysis, defined as the number of tests that resulted in correct diagnoses out of the total number of tests assayed. Hypotheses were formed before data collection. RESULTS: In total, 30 patients (23 women [77%]; median age, 51 years [range, 28-81 years]), primarily presenting with metastatic solid malignant neoplasms, participated in this study. For 48 follow-up samples from patients previously diagnosed via cytologic analysis as having LMD with no parenchymal tumor abutting CSF, cfDNA findings were accurate in the assessment of LMD in 45 samples (94%; 95% CI, 83%-99%), whereas cytologic analysis was accurate in 36 samples (75%; 95% CI, 60%-86%), a significant difference (P = .02). Of 43 LMD-positive samples, CSF cfDNA analysis was sensitive to LMD in 40 samples (93%; 95% CI, 81%-99%), and cytologic analysis was sensitive to LMD in 31 samples (72%; 95% CI, 56%-85%), a significant difference (P = .02). For 3 patients with parenchymal brain metastases abutting the CSF and no suspicion of LMD, cytologic findings were negative for LMD in all 3 patients, whereas cfDNA findings were positive in all 3 patients. CONCLUSIONS AND RELEVANCE: This diagnostic study found improved sensitivity and accuracy of cfDNA CSF testing vs cytologic assessment for diagnosing LMD with the exception of parenchymal tumors abutting CSF, suggesting improved ability to diagnosis LMD. Consideration of incorporating CSF cfDNA analysis into clinical care is warranted.
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spelling pubmed-83535412021-08-12 Detection of Leptomeningeal Disease Using Cell-Free DNA From Cerebrospinal Fluid White, Michael D. Klein, Robert H. Shaw, Brian Kim, Albert Subramanian, Megha Mora, Joana L. Giobbie-Hurder, Anita Nagabhushan, Deepika Jain, Aarushi Singh, Mohini Kuter, Benjamin M. Nayyar, Naema Bertalan, Mia S. Stocking, Jackson H. Markson, Samuel C. Lastrapes, Matthew Alvarez-Breckenridge, Christopher Cahill, Daniel P. Gydush, Gregory Rhoades, Justin Rotem, Denisse Adalsteinsson, Viktor A. Mahar, Maura Kaplan, Alexander Oh, Kevin Sullivan, Ryan J. Gerstner, Elizabeth Carter, Scott L. Brastianos, Priscilla K. JAMA Netw Open Original Investigation IMPORTANCE: Leptomeningeal disease (LMD) is a devastating complication of cancer that is frequently underdiagnosed owing to the low sensitivity of cerebrospinal fluid (CSF) cytologic assessment, the current benchmark diagnostic method. Improving diagnostic sensitivity may lead to improved treatment decisions. OBJECTIVE: To assess whether cell-free DNA (cfDNA) analysis of CSF may be used to diagnose LMD more accurately than cytologic analysis. DESIGN, SETTING, AND PARTICIPANTS: This diagnostic study conducted in a neuro-oncology clinic at 2 large, tertiary medical centers assessed the use of genomic sequencing of CSF samples obtained from 30 patients with suspected or confirmed LMD from 2015 through 2018 to identify tumor-derived cfDNA. From the same CSF samples, cytologic analyses were conducted, and the results of the 2 tests were compared. This study consisted of 2 patient populations: 22 patients with cytologically confirmed LMD without parenchymal tumors abutting their CSF and 8 patients with parenchymal brain metastases with no evidence of LMD. Patients were considered positive for the presence of LMD if previous CSF cytologic analysis was positive for malignant cells. The analysis was conducted from 2015 to 2018. MAIN OUTCOMES AND MEASURES: The primary outcome was the diagnostic accuracy of cfDNA analysis, defined as the number of tests that resulted in correct diagnoses out of the total number of tests assayed. Hypotheses were formed before data collection. RESULTS: In total, 30 patients (23 women [77%]; median age, 51 years [range, 28-81 years]), primarily presenting with metastatic solid malignant neoplasms, participated in this study. For 48 follow-up samples from patients previously diagnosed via cytologic analysis as having LMD with no parenchymal tumor abutting CSF, cfDNA findings were accurate in the assessment of LMD in 45 samples (94%; 95% CI, 83%-99%), whereas cytologic analysis was accurate in 36 samples (75%; 95% CI, 60%-86%), a significant difference (P = .02). Of 43 LMD-positive samples, CSF cfDNA analysis was sensitive to LMD in 40 samples (93%; 95% CI, 81%-99%), and cytologic analysis was sensitive to LMD in 31 samples (72%; 95% CI, 56%-85%), a significant difference (P = .02). For 3 patients with parenchymal brain metastases abutting the CSF and no suspicion of LMD, cytologic findings were negative for LMD in all 3 patients, whereas cfDNA findings were positive in all 3 patients. CONCLUSIONS AND RELEVANCE: This diagnostic study found improved sensitivity and accuracy of cfDNA CSF testing vs cytologic assessment for diagnosing LMD with the exception of parenchymal tumors abutting CSF, suggesting improved ability to diagnosis LMD. Consideration of incorporating CSF cfDNA analysis into clinical care is warranted. American Medical Association 2021-08-09 /pmc/articles/PMC8353541/ /pubmed/34369989 http://dx.doi.org/10.1001/jamanetworkopen.2021.20040 Text en Copyright 2021 White MD et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
White, Michael D.
Klein, Robert H.
Shaw, Brian
Kim, Albert
Subramanian, Megha
Mora, Joana L.
Giobbie-Hurder, Anita
Nagabhushan, Deepika
Jain, Aarushi
Singh, Mohini
Kuter, Benjamin M.
Nayyar, Naema
Bertalan, Mia S.
Stocking, Jackson H.
Markson, Samuel C.
Lastrapes, Matthew
Alvarez-Breckenridge, Christopher
Cahill, Daniel P.
Gydush, Gregory
Rhoades, Justin
Rotem, Denisse
Adalsteinsson, Viktor A.
Mahar, Maura
Kaplan, Alexander
Oh, Kevin
Sullivan, Ryan J.
Gerstner, Elizabeth
Carter, Scott L.
Brastianos, Priscilla K.
Detection of Leptomeningeal Disease Using Cell-Free DNA From Cerebrospinal Fluid
title Detection of Leptomeningeal Disease Using Cell-Free DNA From Cerebrospinal Fluid
title_full Detection of Leptomeningeal Disease Using Cell-Free DNA From Cerebrospinal Fluid
title_fullStr Detection of Leptomeningeal Disease Using Cell-Free DNA From Cerebrospinal Fluid
title_full_unstemmed Detection of Leptomeningeal Disease Using Cell-Free DNA From Cerebrospinal Fluid
title_short Detection of Leptomeningeal Disease Using Cell-Free DNA From Cerebrospinal Fluid
title_sort detection of leptomeningeal disease using cell-free dna from cerebrospinal fluid
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353541/
https://www.ncbi.nlm.nih.gov/pubmed/34369989
http://dx.doi.org/10.1001/jamanetworkopen.2021.20040
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