2019 ◽  
Vol 32 (Supplement_2) ◽  
Author(s):  
H Patel Pranav ◽  
Kumar Sacheen ◽  
Doria Luisa ◽  
Soares Renata ◽  
Bodai Zsolt ◽  
...  

Abstract Aim This work aims to determine the glycerophospholipid (GPL) abundance between Oesophageal adenocarcinoma (OA) and proximal non-cancerous tissue at multiple levels using Desorption Electrospray Ionisation Mass spectrometry (DESI-MS) tissue imaging. Background & Methods The prevalence of Oesophageal cancer in the United Kingdom has steadily risen since the 1970s. The prognosis for most patients is poor, with two thirds presenting with incurable disease. The abundance of lipids in OA has been shown to be atypical of normal cellular metabolism.1 This work utilises mass spectrometry imaging to identify variations in lipid abundance between OA and normal oesophagus (NO). Tissue was sampled from specimens dissected immediately post-resection from the tumour and at 5-centimetre intervals in the proximal oesophagus. DESI-MS tissue imaging, an ambient form of Mass Spectrometry, was performed to identify GPLs.2 DESI-MS images were correlated with Hematoxylin and Eosin staining (current gold standard). Principle component analysis with a supervised model classified tissue types by sensitivity and specificity. Results Tissue analysis confirmed unsaturated Phosphatidylglycerols and Phosphatidic acids were most abundant in OA compared to NO (p<0.001). Tissue analysis by a Partial Least Square (PLS) supervised linear regression model classified cancer and non-cancer tissue with 85% sensitivity and 88% specificity. The abundance of several unsaturated GPL classes decreased proportionally in tissue sections at 5 and 10 centimetres from the primary tumour. Gene set enrichment has demonstrated potential dysregulation of this pathway in the literature. Conclusions This work highlights an important variant of lipid metabolism in OA, identified by DESI-MS. There is a significant overabundance of unsaturated Phosphatidylglycerol’s in OA compared to proximal NO. In addition, the unsaturated GPL classes found in the cancer become increasingly saturated at 5cm and 10cm from the tumour site. This variation in lipid molecular structure suggests a novel pathway for potential therapeutic modulation.


2021 ◽  
Author(s):  
Maja Carina Nackenhorst ◽  
Mohammad Kasiri ◽  
Bernd Gollackner ◽  
Heinz Regele

Abstract Background: Rapid histologic diagnosis of frozen sections is essential for a variety of surgical procedures. Frozen sections however, require specialized lab equipment, are prone to freezing artifacts and are not applicable to all types of tissue. Adipose tissue is especially difficult to process in frozen sections. Although these limitations are well known, no alternative method for microscopic tissue analysis that might replace frozen sections could be established. Our objective was to evaluate whether tissue imaging based on ex vivo fluorescent confocal microscopy (FCM) is applicable for rapid microscopic assessment of breast tumors specimens with abundant adipose tissue.Methods: We evaluated 17 tissue samples from mastectomy specimens, rich in adipose tissue, submitted to the department of pathology at the Medical University of Vienna. We conducted our study on the FCM VivaScope® 2500M-G4 (Mavig GmbH, Munich, Germany; Caliber I.D.; Rochester NY, USA).Results: When comparing FCM to frozen sections, we found a very similar overall processing time for FCM images and frozen sections respectively. Image quality was mostly superior to frozen sections (especially for adipose tissue and nuclear detail) but inferior to H&E stained FFPE sections. Limitations of the technology were uneven coloring, invisibility of ink applied for marking tissue margins and distortion artifacts if too much pressure is applied to the tissue. Conclusion: FCM has the potential to expand the application and usefulness of rapid tissue analysis as speed is comparable and quality exceeds that of frozen sections especially in tissues rich in adipose cells such as breast specimen.


2019 ◽  
Author(s):  
Arundhati Deshmukh ◽  
Danielle Koppel ◽  
Chern Chuang ◽  
Danielle Cadena ◽  
Jianshu Cao ◽  
...  

Technologies which utilize near-infrared (700 – 1000 nm) and short-wave infrared (1000 – 2000 nm) electromagnetic radiation have applications in deep-tissue imaging, telecommunications and satellite telemetry due to low scattering and decreased background signal in this spectral region. However, there are few molecular species, which absorb efficiently beyond 1000 nm. Transition dipole moment coupling (e.g. J-aggregation) allows for redshifted excitonic states and provides a pathway to highly absorptive electronic states in the infrared. We present aggregates of two cyanine dyes whose absorption peaks redshift dramatically upon aggregation in water from ~ 800 nm to 1000 nm and 1050 nm with sheet-like morphologies and high molar absorptivities (e ~ 10<sup>5 </sup>M<sup>-1</sup>cm<sup>-1</sup>). To describe this phenomenology, we extend Kasha’s model for J- and H-aggregation to describe the excitonic states of <i> 2-dimensional aggregates</i> whose slip is controlled by steric hindrance in the assembled structure. A consequence of the increased dimensionality is the phenomenon of an <i>intermediate </i>“I-aggregate”, one which redshifts yet displays spectral signatures of band-edge dark states akin to an H-aggregate. We distinguish between H-, I- and J-aggregates by showing the relative position of the bright (absorptive) state within the density of states using temperature dependent spectroscopy. Our results can be used to better design chromophores with predictable and tunable aggregation with new photophysical properties.


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