You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
24 October 2012Histology-directed MALDI mass spectrometry for the diagnostic pathology
With the advent of targeted agents, it has become clinically important to distinguish histologic types of non-small cell
lung cancers (NSCLCs) using biopsy samples. We investigated whether direct tissue matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) analysis on lipid may classify histology of NSCLCs. Twentyone
pairs of frozen, resected NSCLCs were analyzed using histology-directed, MALDI MS. 2,5-dihydroxybenzoic acid/α-cyano-4-hydroxycinnamic acid were manually deposited on areas of each tissue section enriched in epithelial cells
to identify lipid profiles, and mass spectra were acquired using a MALDI-time of flight instrument. Squamous cell
carcinomas and adenocarcinomas, two major histologic types of NSCLC, were found to have different lipid profiles.
Discriminatory lipids correctly classified the histology of 80.4% of independent NSCLC surgical tissue samples (41 out
of 51) in validation set, suggesting that lipid profiles can classify NSCLCs according to the histologic type. We also
found that protein and lipid MALDI MS profiles can classify 30 breast cancers according to the intrinsic subtypes.
Immunohistochemistry-defined, luminal, HER2+, and triple-negative tumors demonstrated different protein and lipid
profiles, as evidenced by cross validation P values < 0.01. Discriminatory proteins and lipids classified tumors according
to the intrinsic subtype with median prediction accuracies of 80.0-81.3% in 100 random test sets. Potential advantages of this label-free approach may include small tissue requirement, relatively rapid procedure, and low reagent cost. Day-today variation of this technology is also acceptable, with the Pearson correlation of 0.95. Taken together, these results suggest the possible clinical utility of histology-directed, lipid and protein MALDI MS.
The alert did not successfully save. Please try again later.
Hark Kyun Kim, In-Hoo Kim, "Histology-directed MALDI mass spectrometry for the diagnostic pathology," Proc. SPIE 8548, Nanosystems in Engineering and Medicine, 854823 (24 October 2012); https://doi.org/10.1117/12.1000001