scholarly journals Discovery of lipid biomarkers correlated with disease progression in clear cell renal cell carcinoma using desorption electrospray ionization imaging mass spectrometry

Oncotarget ◽  
2019 ◽  
Vol 10 (18) ◽  
pp. 1688-1703 ◽  
Author(s):  
Keita Tamura ◽  
Makoto Horikawa ◽  
Shumpei Sato ◽  
Hideaki Miyake ◽  
Mitsutoshi Setou
PROTEOMICS ◽  
2014 ◽  
Vol 14 (7-8) ◽  
pp. 924-935 ◽  
Author(s):  
Elizabeth Ellen Jones ◽  
Thomas W. Powers ◽  
Benjamin A. Neely ◽  
Lisa H. Cazares ◽  
Dean A. Troyer ◽  
...  

2020 ◽  
Vol 68 (6) ◽  
pp. 403-411
Author(s):  
Hsiang-Chih Lu ◽  
Nathan Heath Patterson ◽  
Audra M. Judd ◽  
Michelle L. Reyzer ◽  
Jennifer K. Sehn

Clear cell renal cell carcinoma (ccRCC) and chromophobe renal cell carcinoma (chRCC) are relatively common tumors that can have significant risk for mortality. Treatment and prognostication in renal cell carcinoma (RCC) are dependent upon correct histologic typing. ccRCC and chRCC are generally straightforward to diagnose based on histomorphology alone. However, high-grade ccRCC and chRCC can sometimes resemble each other morphologically, particularly in small biopsies. Multiple immunostains and/or colloidal iron stain are sometimes required to differentiate the two. Imaging mass spectrometry (IMS) allows simultaneous spatial mapping of thousands of biomarkers, using formalin-fixed paraffin-embedded tissue sections. In this study, we evaluate the ability of IMS to differentiate between World Health Organization/International Society for Urological Pathology grade 3 ccRCC and chRCC. IMS spectra from a training set of 14 ccRCC and 13 chRCC were evaluated via support vector machine algorithm with a linear kernel for machine learning, building a classification model. The classification model was applied to a separate validation set of 6 ccRCC and 6 chRCC, with 19 to 20, 150-μm diameter tumor foci in each case sampled by IMS. Most evaluated tumor foci were classified correctly as ccRCC versus chRCC (99% accuracy, kappa=0.98), demonstrating that IMS is an accurate tool in differentiating high-grade ccRCC and chRCC.


2020 ◽  
Vol 20 (1) ◽  
pp. 841-857
Author(s):  
Malena Manzi ◽  
Martín Palazzo ◽  
María Elena Knott ◽  
Pierre Beauseroy ◽  
Patricio Yankilevich ◽  
...  

2020 ◽  
Vol 147 (1) ◽  
pp. 256-265 ◽  
Author(s):  
Kanchustambham Vijayalakshmi ◽  
Vishnu Shankar ◽  
Ryan M. Bain ◽  
Rosalie Nolley ◽  
Geoffrey A. Sonn ◽  
...  

2018 ◽  
Author(s):  
Malena Manzi ◽  
Martín Palazzo ◽  
Nicolás Zabalegui ◽  
María Knott ◽  
Patricio Yankilevich ◽  
...  

2007 ◽  
Vol 177 (4S) ◽  
pp. 214-214
Author(s):  
Sung Kyu Hong ◽  
Byung Kyu Han ◽  
In Ho Chang ◽  
June Hyun Han ◽  
Ji Hyung Yu ◽  
...  

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