Imaging Mass Spectrometry Is an Accurate Tool in Differentiating Clear Cell Renal Cell Carcinoma and Chromophobe Renal Cell Carcinoma: A Proof-of-concept Study

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 stra...

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Veröffentlicht in:The journal of histochemistry and cytochemistry Jg. 68; H. 6; S. 403
Hauptverfasser: Lu, Hsiang-Chih, Patterson, Nathan Heath, Judd, Audra M, Reyzer, Michelle L, Sehn, Jennifer K
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States 01.06.2020
Schlagworte:
Adult
Aged
Aged, 80 and over
Carcinoma, Renal Cell - diagnostic imaging
Cohort Studies
Diagnosis, Differential
Female
Humans
Kidney Neoplasms - diagnostic imaging
Male
Mass Spectrometry
Middle Aged
Molecular Imaging
imaging mass spectrometry
clear cell renal cell carcinoma
renal cell cancer
kidney neoplasms
chromophobe renal cell carcinoma
ISSN:1551-5044, 1551-5044
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1551-5044
1551-5044
DOI:10.1369/0022155420931417