DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhang, Yue | ko |
dc.contributor.author | Udayakumar, Durga | ko |
dc.contributor.author | Cai, Ling | ko |
dc.contributor.author | Hu, Zeping | ko |
dc.contributor.author | Kapur, Payal | ko |
dc.contributor.author | Kho, Eun-Young | ko |
dc.contributor.author | Pavia-Jimenez, Andrea | ko |
dc.contributor.author | Fulkerson, Michael | ko |
dc.contributor.author | de Leon, Alberto Diaz | ko |
dc.contributor.author | Yuan, Qing | ko |
dc.contributor.author | Dimitrov, Ivan E. | ko |
dc.contributor.author | Yokoo, Takeshi | ko |
dc.contributor.author | Ye, Jin | ko |
dc.contributor.author | Mitsche, Matthew A. | ko |
dc.contributor.author | Kim, Hyeonwoo | ko |
dc.contributor.author | McDonald, Jeffrey G. | ko |
dc.contributor.author | Xi, Yin | ko |
dc.contributor.author | Madhuranthakam, Ananth J. | ko |
dc.contributor.author | Dwivedi, Durgesh K. | ko |
dc.contributor.author | Lenkinski, Robert E. | ko |
dc.contributor.author | Cadeddu, Jeffrey A. | ko |
dc.contributor.author | Margulis, Vitaly | ko |
dc.contributor.author | Brugarolas, James | ko |
dc.contributor.author | DeBerardinis, Ralph J. | ko |
dc.contributor.author | Pedrosa, Ivan | ko |
dc.date.accessioned | 2022-04-16T06:42:29Z | - |
dc.date.available | 2022-04-16T06:42:29Z | - |
dc.date.created | 2022-03-10 | - |
dc.date.created | 2022-03-10 | - |
dc.date.issued | 2017-08 | - |
dc.identifier.citation | JCI INSIGHT, v.2, no.15 | - |
dc.identifier.issn | 2324-7703 | - |
dc.identifier.uri | http://hdl.handle.net/10203/295168 | - |
dc.description.abstract | BACKGROUND. Dysregulated lipid and glucose metabolism in clear cell renal cell carcinoma (ccRCC) has been implicated in disease progression, and whole tumor tissue-based assessment of these changes is challenged by the tumor heterogeneity. We studied a noninvasive quantitative MRI method that predicts metabolic alterations in the whole tumor. METHODS. We applied Dixon-based MRI for in vivo quantification of lipid accumulation (fat fraction [FF]) in targeted regions of interest of 45 primary ccRCCs and correlated these MRI measures to mass spectrometry-based lipidomics and metabolomics of anatomically colocalized tissue samples isolated from the same tumor after surgery. RESULTS. In vivo tumor FF showed statistically significant (P < 0.0001) positive correlation with histologic fat content (Spearman correlation coefficient, rho = 0.79), spectrometric triglycerides (rho = 0.56) and cholesterol (rho = 0.47); it showed negative correlation with free fatty acids (rho = -0.44) and phospholipids (rho = -0.65). We observed both inter-and intratumoral heterogeneity in lipid accumulation within the same tumor grade, whereas most aggressive tumors (International Society of Urological Pathology [ISUP] grade 4) exhibited reduced lipid accumulation. Cellular metabolites in tumors were altered compared with adjacent renal parenchyma. CONCLUSION. Our results support the use of noninvasive quantitative Dixon-based MRI as a biomarker of reprogrammed lipid metabolism in ccRCC, which may serve as a predictor of tumor aggressiveness before surgical intervention. | - |
dc.language | English | - |
dc.publisher | AMER SOC CLINICAL INVESTIGATION INC | - |
dc.title | Addressing metabolic heterogeneity in clear cell renal cell carcinoma with quantitative Dixon MRI | - |
dc.type | Article | - |
dc.identifier.wosid | 000407042000015 | - |
dc.identifier.scopusid | 2-s2.0-85046504207 | - |
dc.type.rims | ART | - |
dc.citation.volume | 2 | - |
dc.citation.issue | 15 | - |
dc.citation.publicationname | JCI INSIGHT | - |
dc.identifier.doi | 10.1172/jci.insight.94278 | - |
dc.contributor.localauthor | Kim, Hyeonwoo | - |
dc.contributor.nonIdAuthor | Zhang, Yue | - |
dc.contributor.nonIdAuthor | Udayakumar, Durga | - |
dc.contributor.nonIdAuthor | Cai, Ling | - |
dc.contributor.nonIdAuthor | Hu, Zeping | - |
dc.contributor.nonIdAuthor | Kapur, Payal | - |
dc.contributor.nonIdAuthor | Kho, Eun-Young | - |
dc.contributor.nonIdAuthor | Pavia-Jimenez, Andrea | - |
dc.contributor.nonIdAuthor | Fulkerson, Michael | - |
dc.contributor.nonIdAuthor | de Leon, Alberto Diaz | - |
dc.contributor.nonIdAuthor | Yuan, Qing | - |
dc.contributor.nonIdAuthor | Dimitrov, Ivan E. | - |
dc.contributor.nonIdAuthor | Yokoo, Takeshi | - |
dc.contributor.nonIdAuthor | Ye, Jin | - |
dc.contributor.nonIdAuthor | Mitsche, Matthew A. | - |
dc.contributor.nonIdAuthor | McDonald, Jeffrey G. | - |
dc.contributor.nonIdAuthor | Xi, Yin | - |
dc.contributor.nonIdAuthor | Madhuranthakam, Ananth J. | - |
dc.contributor.nonIdAuthor | Dwivedi, Durgesh K. | - |
dc.contributor.nonIdAuthor | Lenkinski, Robert E. | - |
dc.contributor.nonIdAuthor | Cadeddu, Jeffrey A. | - |
dc.contributor.nonIdAuthor | Margulis, Vitaly | - |
dc.contributor.nonIdAuthor | Brugarolas, James | - |
dc.contributor.nonIdAuthor | DeBerardinis, Ralph J. | - |
dc.contributor.nonIdAuthor | Pedrosa, Ivan | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordPlus | FATTY-ACID SYNTHASE | - |
dc.subject.keywordPlus | CHOLESTEROL | - |
dc.subject.keywordPlus | CANCER | - |
dc.subject.keywordPlus | MASSES | - |
dc.subject.keywordPlus | CLASSIFICATION | - |
dc.subject.keywordPlus | LOCALIZATION | - |
dc.subject.keywordPlus | VALIDATION | - |
dc.subject.keywordPlus | EVOLUTION | - |
dc.subject.keywordPlus | INSIGHTS | - |
dc.subject.keywordPlus | THERAPY | - |
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