BROWSE

Related Scientist

Researcher

나노입자 연구단
나노입자 연구단
more info

An NMR metabolomics approach for the diagnosis of leptomeningeal carcinomatosis in lung adenocarcinoma cancer patients

Cited 14 time in webofscience Cited 0 time in scopus
129 Viewed 8 Downloaded
Title
An NMR metabolomics approach for the diagnosis of leptomeningeal carcinomatosis in lung adenocarcinoma cancer patients
Author(s)
An, YJ; Hye Rim Cho; Keam, B; Kim, JW; Wen, H; Park, CK; Lee, SH; Im, SA; Kim, JE; Seung Hong Choi; Park, S
Publication Date
2015-01
Journal
INTERNATIONAL JOURNAL OF CANCER, v.136, no.1, pp.162 - 171
Publisher
WILEY-BLACKWELL
Abstract
Leptomeningeal carcinomatosis (LC) is a metastatic cancer invading the central nervous system (CNS). We previously reported a metabolomic diagnostic approach as tested on an animal model and compared with current modalities. Here, we provide a proof of concept by applying it to human LC originating from lung cancer, the most common cause of CNS metastasis. Cerebrospinal fluid from LC (n526) and normal groups (n541) were obtained, and the diagnosis was established with clinical signs, cytology, MRI and biochemical tests. The cytology on the CSF, the current gold standard, exhibited 69% sensitivity (~100% specificity) from the first round of CSF tapping. In comparison, the nuclear magnetic resonance spectra on the CSF showed a clear difference in the metabolic profile between the LC and normal groups. Multivariate analysis and crossvalidation yielded the diagnostic sensitivity of 92%, the specificity of 96% and the area under the curve (AUC) of 0.991. Further spectral and statistical analysis identified myo-inositol (p < 5 3 10214), creatine (p < 7 3 1028), lactate (p < 9 3 1024), alanine (p < 7.9 3 1023) and citrate (p < 3 3 1024) as the most contributory metabolites, whose combination exhibited an receiver.operating characteristic diagnostic AUC of 0.996. In addition, the metabolic profile could be correlated with the grading of radiological leptomeningeal enhancement (R250.3881 and p56.66 3 1024), suggesting its potential utility in grading LC. Overall, we propose that the metabolomic approach might augment current diagnostic modalities for LC, the accurate diagnosis of which remains a challenge.
URI
https://pr.ibs.re.kr/handle/8788114/2149
ISSN
0020-7136
Appears in Collections:
Center for Nanoparticle Research(나노입자 연구단) > Journal Papers (저널논문)
Files in This Item:
ijc28949.pdfDownload

qrcode

  • facebook

    twitter

  • Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
해당 아이템을 이메일로 공유하기 원하시면 인증을 거치시기 바랍니다.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse