Label-free spectroscopic imaging unravels altered lipid metabolism in human cancers (Conference Presentation)

Shuhua Yue; Sishan Cui; Shuo Zhang; Shuai Yan; Lin Yao; Yu Fan; Ping Wang; Liqun Zhou

doi:10.1117/12.2510831

4 March 2019 Label-free spectroscopic imaging unravels altered lipid metabolism in human cancers (Conference Presentation)

Shuhua Yue, Sishan Cui, Shuo Zhang, Shuai Yan, Lin Yao, Yu Fan, Ping Wang, Liqun Zhou

Author Affiliations +

Proceedings Volume 10882, Multiphoton Microscopy in the Biomedical Sciences XIX; 108821N (2019) https://doi.org/10.1117/12.2510831
Event: SPIE BiOS, 2019, San Francisco, California, United States

Abstract

Altered lipid metabolism is increasingly recognized as a signature of cancer cells. Enabled by label-free spectroscopic imaging, we performed quantitative analysis of lipogenesis at single-cell level in human clear cell renal cell carcinoma (ccRCC), which accounts for about 90% kidney cancers. Our hyperspectral stimulated Raman scattering (SRS) imaging data revealed an aberrant accumulation of lipid droplets in human clear cell renal cell carcinoma (ccRCC), but no detectable lipid droplets in normal or benign kidney tissues. We also found that such lipid accumulation was significantly higher in low grade (Furhman Grade≤2) ccRCC compared that in high grade (Furhman Grade≥3) ccRCC, and was correlated well with the prognosis of ccRCC. Moreover, cholesteryl ester is the dominant form of lipids accumulated in ccRCC. Besides, the unsaturation level of lipids was significantly higher in high grade ccRCC compared to low grade ccRCC. Furthermore, depletion of cholesteryl ester storage significantly reduced cancer proliferation, impaired cancer invasion capability, and suppressed tumor growth and metastasis in mouse xenograft and orthotopic models, with negligible toxicity. These findings herald the potential of using lipid accumulation as a marker for diagnosis of human ccRCC and open a new way of treating aggressive human ccRCC by targeting the altered lipid metabolism.

Conference Presentation

Citation Download Citation

Shuhua Yue, Sishan Cui, Shuo Zhang, Shuai Yan, Lin Yao, Yu Fan, Ping Wang, and Liqun Zhou "Label-free spectroscopic imaging unravels altered lipid metabolism in human cancers (Conference Presentation)", Proc. SPIE 10882, Multiphoton Microscopy in the Biomedical Sciences XIX, 108821N (4 March 2019); https://doi.org/10.1117/12.2510831

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KEYWORDS

Cancer

Mode conditioning cables

Imaging spectroscopy

Spectroscopy

Kidney

Quantitative analysis

Raman scattering

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