Hyperpolarised C-MRI identifies the emergence of a glycolytic cell population within intermediate-risk human prostate cancer
Nature Communications, ISSN: 2041-1723, Vol: 13, Issue: 1, Page: 466
2022
- 34Citations
- 41Captures
- 1Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations34
- Citation Indexes34
- 34
- CrossRef7
- Captures41
- Readers41
- 41
- Mentions1
- Blog Mentions1
- Blog1
Article Description
Hyperpolarised magnetic resonance imaging (HP C-MRI) is an emerging clinical technique to detect [1-C]lactate production in prostate cancer (PCa) following intravenous injection of hyperpolarised [1-C]pyruvate. Here we differentiate clinically significant PCa from indolent disease in a low/intermediate-risk population by correlating [1-C]lactate labelling on MRI with the percentage of Gleason pattern 4 (%GP4) disease. Using immunohistochemistry and spatial transcriptomics, we show that HP C-MRI predominantly measures metabolism in the epithelial compartment of the tumour, rather than the stroma. MRI-derived tumour [1-C]lactate labelling correlated with epithelial mRNA expression of the enzyme lactate dehydrogenase (LDHA and LDHB combined), and the ratio of lactate transporter expression between the epithelial and stromal compartments (epithelium-to-stroma MCT4). We observe similar changes in MCT4, LDHA, and LDHB between tumours with primary Gleason patterns 3 and 4 in an independent TCGA cohort. Therefore, HP C-MRI can metabolically phenotype clinically significant disease based on underlying metabolic differences in the epithelial and stromal tumour compartments.
Bibliographic Details
Springer Science and Business Media LLC
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