Imaging tumor lactate is feasible for identifying intermediate- risk prostate cancer patients with postsurgical biochemical recurrence

被引:1
|
作者
Sushentsev, Nikita [1 ,2 ]
Hamm, Gregory [3 ]
Richings, Jack [3 ]
Mclean, Mary A. [1 ,2 ]
Menih, Ines Horvat [1 ,2 ,6 ]
Ayyappan, Vinay [1 ,2 ]
Cde, Ian G. Mills [4 ,5 ]
Warren, Anne Y. [7 ]
Warren, Y.
Gnanapragasam, Vincent J. [8 ,9 ]
Barrett, Tristan [1 ,2 ]
Barry, Simon T. [1 ,2 ,10 ]
Goodwin, Richard J. A.
Gallagher, Ferdia A.
Barret, Tristan
机构
[1] Addenbrookes Hosp, Dept Radiol, Cambridge Biomed Campus, Cambridge CB2 0QQ, England
[2] Univ Cambridge, Cambridge Biomed Campus, Cambridge CB2 0QQ, England
[3] AstraZeneca, Imaging & Data Analyt, Clin Pharmacol & Safety Sci, Res & Dev, Cambridge CB2 0AA, England
[4] Queens Univ Belfast, Patrick G Johnston Ctr Canc Res, Genito Urinary & Prostate Focus Grp, Belfast BT9 7AE, North Ireland
[5] Univ Oxford, John Radcliffe Hosp, Nuffield Dept Surg Sci, Oxford OX3 7DQ, England
[6] Univ Bergen, Dept Clin Sci, Ctr Canc Biomarkers, N-5021 Bergen, Norway
[7] Cambridge Univ Hosp Natl Hlth Serv Fdn Trust, Dept Pathol, Cambridge CB2 0QQ, England
[8] Cambridge Univ Hosp Natl Hlth Serv Fdn Trust, Dept Urol, Cambridge CB2 0QQ, England
[9] Addenbrookes Hosp, Cambridge Urol Translat Res & Clin Trials Off, Cambridge Biomed Campus, Cambridge CB2 0QQ, England
[10] AstraZeneca, Biosci Discovery Oncol Res & Dev, Cambridge CB2 0AA, England
基金
英国工程与自然科学研究理事会;
关键词
prostate cancer; cancer metabolism; MRI;
D O I
10.1073/pnas.2312261120
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
While radical prostatectomy remains the mainstay of prostate cancer (PCa) treatment, 20 to 40% of patients develop postsurgical biochemical recurrence (BCR). A particularly challenging clinical cohort includes patients with intermediate -risk disease whose risk stratification would benefit from advanced approaches that complement standard -of -care diagnostic tools. Here, we show that imaging tumor lactate using hyperpolarized 13C MRI and spatial metabolomics identifies BCR- positive patients in two prospective intermediate -risk surgical cohorts. Supported by spatially resolved tissue analysis of estab-lished glycolytic biomarkers, this study provides the rationale for multicenter trials of tumor metabolic imaging as an auxiliary tool to support PCa treatment decision- making.
引用
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页数:3
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