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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" dtd-version="1.2" xml:lang="EN" article-type="research-article"><front><journal-meta><journal-id journal-id-type="pmc">pnas</journal-id><journal-id journal-id-type="publisher-id">PNAS</journal-id><journal-title-group><journal-title>Proceedings of the National Academy of Sciences</journal-title><abbrev-journal-title abbrev-type="pubmed">Proc Natl Acad Sci USA</abbrev-journal-title></journal-title-group><issn pub-type="ppub">0027-8424</issn><issn pub-type="epub">1091-6490</issn><publisher><publisher-name>National Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">202502423</article-id><article-id pub-id-type="doi">10.1073/pnas.2502423122</article-id><article-version vocab="JAV" vocab-identifier="http://www.niso.org/publications/rp/RP-8-2008.pdf" article-version-type="vor" vocab-term="Version of Record">version-of-record</article-version><article-categories><subj-group subj-group-type="type"><compound-subject><compound-subject-part content-type="code">research-article</compound-subject-part><compound-subject-part content-type="label">Research Article</compound-subject-part></compound-subject></subj-group><subj-group subj-group-type="topic"><compound-subject><compound-subject-part content-type="code">med-sci</compound-subject-part><compound-subject-part content-type="label">Medical Sciences</compound-subject-part></compound-subject></subj-group><subj-group subj-group-type="hwp-journal-coll"><subject>422</subject></subj-group><subj-group subj-group-type="heading"><subject>Biological Sciences</subject><subj-group><subject>Medical Sciences</subject></subj-group></subj-group></article-categories><title-group><article-title>Spatial metabolomics informs the use of clinical imaging for improved detection of cribriform prostate cancer</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes" equal-contrib="yes"><string-name name-style="western"><given-names>Nikita</given-names><x xml:space="preserve"> </x><surname>Sushentsev</surname></string-name><x xml:space="preserve"> </x><email>ns784@medschl.cam.ac.uk</email><xref ref-type="aff" rid="aff1"><sup>a</sup></xref><xref rid="fn2" ref-type="fn"><sup>2</sup></xref><xref rid="cor1" ref-type="corresp"><sup>1</sup></xref><contrib-id contrib-id-type="orcid" authenticated="false">https://orcid.org/0000-0003-4500-9714</contrib-id></contrib><contrib contrib-type="author" equal-contrib="yes"><string-name name-style="western"><given-names>Gregory</given-names><x xml:space="preserve"> </x><surname>Hamm</surname></string-name><xref ref-type="aff" rid="aff2"><sup>b</sup></xref><xref rid="fn2" ref-type="fn"><sup>2</sup></xref></contrib><contrib contrib-type="author"><string-name name-style="western"><given-names>Roido</given-names><x xml:space="preserve"> </x><surname>Manavaki</surname></string-name><xref ref-type="aff" rid="aff1"><sup>a</sup></xref><contrib-id contrib-id-type="orcid" authenticated="false">https://orcid.org/0000-0002-4384-6626</contrib-id></contrib><contrib contrib-type="author"><string-name name-style="western"><given-names>Mary A.</given-names><x xml:space="preserve"> </x><surname>McLean</surname></string-name><xref ref-type="aff" rid="aff1"><sup>a</sup></xref></contrib><contrib contrib-type="author"><string-name name-style="western"><given-names>Jonathan</given-names><x xml:space="preserve"> </x><surname>Birchall</surname></string-name><xref ref-type="aff" rid="aff1"><sup>a</sup></xref></contrib><contrib contrib-type="author"><string-name name-style="western"><given-names>Dmitry</given-names><x xml:space="preserve"> </x><surname>Soloviev</surname></string-name><xref ref-type="aff" rid="aff3"><sup>c</sup></xref><contrib-id contrib-id-type="orcid" authenticated="false">https://orcid.org/0000-0002-1324-3197</contrib-id></contrib><contrib contrib-type="author"><string-name name-style="western"><given-names>David Y.</given-names><x xml:space="preserve"> </x><surname>Lewis</surname></string-name><xref ref-type="aff" rid="aff3"><sup>c</sup></xref></contrib><contrib contrib-type="author"><string-name name-style="western"><given-names>Luigi</given-names><x xml:space="preserve"> </x><surname>Aloj</surname></string-name><xref ref-type="aff" rid="aff1"><sup>a</sup></xref><contrib-id contrib-id-type="orcid" authenticated="false">https://orcid.org/0000-0002-7452-4961</contrib-id></contrib><contrib contrib-type="author"><string-name name-style="western"><given-names>Lucy</given-names><x xml:space="preserve"> </x><surname>Flint</surname></string-name><xref ref-type="aff" rid="aff2"><sup>b</sup></xref></contrib><contrib contrib-type="author"><string-name name-style="western"><given-names>Aleksandr</given-names><x xml:space="preserve"> </x><surname>Zakirov</surname></string-name><xref ref-type="aff" rid="aff4"><sup>d</sup></xref></contrib><contrib contrib-type="author"><string-name name-style="western"><given-names>Ian G.</given-names><x xml:space="preserve"> </x><surname>Mills</surname></string-name><xref ref-type="aff" rid="aff5"><sup>e</sup></xref><xref ref-type="aff" rid="aff6"><sup>f</sup></xref><xref ref-type="aff" rid="aff7"><sup>g</sup></xref><contrib-id contrib-id-type="orcid" authenticated="false">https://orcid.org/0000-0001-5347-5083</contrib-id></contrib><contrib contrib-type="author"><string-name name-style="western"><given-names>Vincent J.</given-names><x xml:space="preserve"> </x><surname>Gnanapragasam</surname></string-name><xref ref-type="aff" rid="aff8"><sup>h</sup></xref><xref ref-type="aff" rid="aff9"><sup>i</sup></xref></contrib><contrib contrib-type="author"><string-name name-style="western"><given-names>Anne Y.</given-names><x xml:space="preserve"> </x><surname>Warren</surname></string-name><xref ref-type="aff" rid="aff10"><sup>j</sup></xref></contrib><contrib contrib-type="author"><string-name name-style="western"><given-names>Simon T.</given-names><x xml:space="preserve"> </x><surname>Barry</surname></string-name><xref ref-type="aff" rid="aff11"><sup>k</sup></xref></contrib><contrib contrib-type="author" equal-contrib="yes"><string-name name-style="western"><given-names>Richard J. A.</given-names><x xml:space="preserve"> </x><surname>Goodwin</surname></string-name><xref ref-type="aff" rid="aff2"><sup>b</sup></xref><xref ref-type="fn" rid="fn3"><sup>3</sup></xref><contrib-id contrib-id-type="orcid" authenticated="false">https://orcid.org/0000-0001-5699-8488</contrib-id></contrib><contrib contrib-type="author" equal-contrib="yes"><string-name name-style="western"><given-names>Ferdia A.</given-names><x xml:space="preserve"> </x><surname>Gallagher</surname></string-name><xref ref-type="aff" rid="aff1"><sup>a</sup></xref><xref ref-type="fn" rid="fn3"><sup>3</sup></xref></contrib><contrib contrib-type="author" equal-contrib="yes"><string-name name-style="western"><given-names>Tristan</given-names><x xml:space="preserve"> </x><surname>Barrett</surname></string-name><xref ref-type="aff" rid="aff1"><sup>a</sup></xref><xref ref-type="fn" rid="fn3"><sup>3</sup></xref><contrib-id contrib-id-type="orcid" authenticated="false">https://orcid.org/0000-0002-1180-1474</contrib-id></contrib><aff id="aff1"><sup>a</sup><institution>Department of Radiology, Addenbrooke’s Hospital and University of Cambridge</institution>, Cambridge Biomedical Campus, <city>Cambridge</city> <postal-code>CB2 0QQ</postal-code>, <country>United Kingdom</country></aff><aff id="aff2"><sup>b</sup><institution>Integrated BioAnalysis, Clinical Pharmacology and Safety Sciences, R&amp;D, AstraZeneca</institution>, <city>Cambridge</city> <postal-code>CB2 0AA</postal-code>, <country>United Kingdom</country></aff><aff id="aff3"><sup>c</sup><institution>Lewis Group, School of Cancer Sciences, University of Glasgow</institution>, <city>Glasgow</city> <postal-code>G61 1BD</postal-code>, <country>United Kingdom</country></aff><aff id="aff4"><sup>d</sup><institution>Department of Clinical Neurosciences, University of Cambridge</institution>, <city>Cambridge</city> <postal-code>CB2 0QQ</postal-code>, <country>United Kingdom</country></aff><aff id="aff5"><sup>e</sup><institution>Nuffield Department of Surgical Sciences, University of Oxford</institution>, <city>Oxford</city> <postal-code>OX3 9DU</postal-code>, <country>United Kingdom</country></aff><aff id="aff6"><sup>f</sup><institution>Prostate Cancer Centre of Excellence, Patrick G. Johnston Centre for Cancer Research, Queen’s University Belfast</institution>, <city>Belfast</city> <postal-code>BT9 7AE</postal-code>, <country>United Kingdom</country></aff><aff id="aff7"><sup>g</sup><institution>Department of Biomedicine, Aarhus University</institution>, <city>Aarhus</city> <postal-code>DK-8000</postal-code>, <country>Denmark</country></aff><aff id="aff8"><sup>h</sup><institution>Department of Urology, Cambridge University Hospitals National Health Service Foundation Trust</institution>, <city>Cambridge</city> <postal-code>CB2 0QQ</postal-code>, <country>United Kingdom</country></aff><aff id="aff9"><sup>i</sup><institution>Cambridge Urology Translational Research and Clinical Trials Office, Addenbrooke’s Hospital</institution>, Cambridge Biomedical Campus, <city>Cambridge</city> <postal-code>CB2 0QQ</postal-code>, <country>United Kingdom</country></aff><aff id="aff10"><sup>j</sup><institution>Department of Pathology, Cambridge University Hospitals National Health Service Foundation Trust</institution>, <city>Cambridge</city> <postal-code>CB2 0QQ</postal-code>, <country>United Kingdom</country></aff><aff id="aff11"><sup>k</sup><institution>Bioscience, Discovery, Oncology Research and Development, AstraZeneca</institution>, <city>Cambridge</city> <postal-code>CB2 0AA</postal-code>, <country>United Kingdom</country></aff></contrib-group><author-notes><corresp id="cor1"><sup>1</sup>To whom correspondence may be addressed. Email: <email>ns784@medschl.cam.ac.uk</email>.</corresp><fn id="fn1" fn-type="edited-by"><p>Edited by Myles Brown, Dana-Farber Cancer Institute, Boston, MA; received January 31, 2025; accepted May 15, 2025</p></fn><fn id="fn2" fn-type="equal"><p><sup>2</sup>N.S. and G.H. contributed equally to this work.</p></fn><fn id="fn3" fn-type="equal"><p><sup>3</sup>R.J.A.G., F.A.G., and T.B. contributed equally to this work.</p></fn><fn fn-type="conflict" id="fn4"><label>Competing interests statement:</label><p>G.H., L.F., S.T.B., and R.J.A.G. are AstraZeneca employees. F.A.G. has research support from GE Healthcare and has consulted for AstraZeneca on behalf of the University of Cambridge.</p></fn></author-notes><pub-date publication-format="electronic" date-type="pub"><day>23</day><month>6</month><year>2025</year></pub-date><pub-date publication-format="print" date-type="pub"><day>1</day><month>7</month><year>2025</year></pub-date><volume>122</volume><issue>26</issue><elocation-id>e2502423122</elocation-id><history><date date-type="received"><day>31</day><month>01</month><year>2025</year></date><date date-type="accepted"><day>15</day><month>05</month><year>2025</year></date></history><permissions><copyright-statement>Copyright © 2025 the Author(s). Published by PNAS.</copyright-statement><copyright-year>2025</copyright-year><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><ali:license_ref specific-use="version-of-record">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This open access article is distributed under <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License 4.0 (CC BY)</ext-link>.</license-p></license></permissions><self-uri xlink:href="pnas.2502423122.pdf" content-type="pdf" /><abstract abstract-type="executive-summary"><title>Significance</title><p>Cribriform prostate cancer is a specific disease phenotype known for its high potential of transforming into incurable or even lethal disease. As conventional diagnostic methods tend to miss this disease subtype, identifying biologically informed methods for its early detection is important. Here, we show that one such method could be the imaging of tumor lipid metabolism using clinical imaging techniques: [1-<sup>11</sup>C]acetate positron emission tomography/computed tomography (PET/CT) and proton magnetic resonance spectroscopy. Both techniques, which are available to clinicians, showed promise for distinguishing between cribriform and noncribriform tumors in patients with biopsy-proven prostate cancer.</p></abstract><abstract><p>Cribriform prostate cancer (crPCa) is associated with poor clinical outcomes, yet its accurate detection remains challenging due to the poor sensitivity of standard-of-care diagnostic tools. Here, we use untargeted spatial metabolomics to identify fatty acid biosynthesis as a key metabolic pathway enriched in crPCa epithelium. We also show that imaging tumor lipid metabolism using [1-<sup>11</sup>C]acetate PET/CT and proton magnetic resonance spectroscopy differentiates cribriform from noncribriform intermediate-risk prostate cancers in two prospective patient cohorts. These findings support the feasibility of using clinical metabolic imaging techniques as adjunctive tools for improving crPCa detection in clinical practice, with prospective studies in larger cohorts warranted to obtain definitive results.</p></abstract><abstract abstract-type="key-image"><fig position="float" orientation="portrait"><graphic xlink:href="keyimage.jpg" position="float" orientation="portrait" /></fig></abstract><kwd-group><kwd>prostate cancer</kwd><kwd>cancer metabolism</kwd><kwd>MRI</kwd><kwd>nuclear medicine</kwd><kwd>spectroscopy</kwd></kwd-group><funding-group specific-use="FundRef"><award-group award-type="grant"><funding-source id="sp1"><institution-wrap><institution>Prostate Cancer UK (ProstateUK)</institution><institution-id institution-id-type="FundRef">501100000771</institution-id></institution-wrap></funding-source><award-id rid="sp1">PA14-012</award-id><principal-award-recipient>Ferdia A Gallagher</principal-award-recipient><principal-award-recipient>Tristan Barrett</principal-award-recipient></award-group><award-group award-type="grant"><funding-source id="sp2"><institution-wrap><institution>NIHR | NIHR Cambridge Biomedical Research Centre (NIHR Cambridge BRC)</institution><institution-id institution-id-type="FundRef">501100018956</institution-id></institution-wrap></funding-source><award-id rid="sp2">NIHR203312</award-id><principal-award-recipient>Nikita Sushentsev</principal-award-recipient><principal-award-recipient>Roido Manavaki</principal-award-recipient><principal-award-recipient>Mary A. McLean</principal-award-recipient><principal-award-recipient>Jonathan Birchall</principal-award-recipient><principal-award-recipient>Luigi Aloj</principal-award-recipient><principal-award-recipient>Vincent J Gnanapragasam</principal-award-recipient><principal-award-recipient>Anne Y. Warren</principal-award-recipient><principal-award-recipient>Ferdia A Gallagher</principal-award-recipient><principal-award-recipient>Tristan Barrett</principal-award-recipient></award-group></funding-group><counts><page-count count="4" /><word-count count="1338" /></counts></article-meta></front><body><p content-type="flushleft">Cribriform prostate cancer (crPCa), manifesting in the form of either intraductal carcinoma or invasive cribriform carcinoma, independently predicts biochemical recurrence, metastasis, and disease-specific mortality (<xref ref-type="bibr" rid="r1">1</xref>). Early detection of crPCa is therefore critical, as reflected in its mandatory reporting in diagnostic biopsies (<xref ref-type="bibr" rid="r2">2</xref>, <xref ref-type="bibr" rid="r3">3</xref>) and exclusion of patients with any crPCa from active surveillance in European clinical guidelines (<xref ref-type="bibr" rid="r4">4</xref>). However, MRI-targeted biopsy shows poor sensitivity for detecting crPCa (<xref ref-type="bibr" rid="r5">5</xref>), likely due to overlapping apparent diffusion coefficient (ADC) and dynamic contrast-enhanced features between cribriform and noncribriform lesions (<xref ref-type="bibr" rid="r6">6</xref>). To address this, we used untargeted spatial metabolomics to identify fatty acid biosynthesis as a key metabolic pathway distinguishing crPCa from noncribriform disease in radical prostatectomy (RP) samples. Drawing on previous research demonstrating the advantage of PCa detection using [1-<sup>11</sup>C]acetate PET/CT over routine 2-fluoro-2-deoxy-D-glucose PET (<xref ref-type="bibr" rid="r7">7</xref><xref ref-type="bibr" rid="r8" />–<xref ref-type="bibr" rid="r9">9</xref>), we then assessed the ability of [1-<sup>11</sup>C]acetate PET/CT and <sup>1</sup>H magnetic resonance spectroscopic imaging (<sup>1</sup>H-MRSI) to noninvasively differentiate cribriform from noncribriform intermediate-risk tumors, compared to standard ADCratio assessment.</p><sec id="s1" sec-type="results"><title>Results</title><p content-type="flushleft">In a primary cohort of 28 PCa patients with MRI-visible biopsy-proven disease, RP identified 39 Gleason score 7 (GS7) tumors, comprising 27 noncribriform and 12 cribriform lesions based on the dominant Gleason pattern 4 (GP4) phenotype (<xref ref-type="fig" rid="fig01">Fig. 1<italic toggle="yes">A</italic></xref>). MRI-targeted biopsy identified only 7/12 cribriform tumors, with a sensitivity of 58%, consistent with prior reports (<xref ref-type="bibr" rid="r5">5</xref>). ADCratio and digital pathology-derived epithelial cell density showed no significant differences between cribriform and noncribriform tumors (<xref ref-type="fig" rid="fig01">Fig. 1<italic toggle="yes">B</italic></xref>).</p><fig position="float" fig-type="featured" id="fig01" orientation="portrait"><label>Fig. 1.</label><caption><p>Clinical metabolic imaging for crPCa detection in surgical patients. (<italic toggle="yes">A</italic>) Study flowchart including the constituent subcohorts with matching clinico-pathologic characteristics. (<italic toggle="yes">B</italic>) Comparison of <sup>1</sup>H-MRI tumor-to-urine ADCratio and digital pathology-derived epithelial cell density between cribriform and noncribriform GS7 tumors in the surgical cohort. (<italic toggle="yes">C</italic>) Metabolic pathway enrichment analysis of cribriform (red) and noncribriform (yellow) epithelial regions from the spatial metabolomics subcohort, with top three pathways labeled for each morphological entity; for the same plot featuring individual metabolites, see <ext-link ext-link-type="uri" xlink:href="http://www.pnas.org/lookup/doi/10.1073/pnas.2502423122#supplementary-materials" xlink:show="new"><italic toggle="yes">SI Appendix</italic></ext-link>. (<italic toggle="yes">D</italic>) Representative hematoxylin and eosin (H&amp;E) and DESI-MSI slides from specimens containing cribriform and noncribriform morphologies derived from the same patient from the spatial metabolomics subcohort; scale bars denote 2 mm. (<italic toggle="yes">E</italic>) Comparison of the percentage of cells with strongly positive MCT1 and FASN immunoexpression between cribriform and noncribriform tumors from the IHC subcohort. (<italic toggle="yes">F</italic>) Representative H&amp;E and IHC images from the IHC subcohort; scale bars denote 50 μm. (<italic toggle="yes">G</italic>) Comparison of [1-<sup>11</sup>C]acetate SUV<sub>bw</sub> between cribriform and noncribriform tumors from the [1-<sup>11</sup>C]acetate PET/CT subcohort; yellow dots denote SUV<sub>bw</sub> values for the two cribriform lesions misclassified at diagnostic biopsy. (<italic toggle="yes">H</italic>) Representative whole-mount H&amp;E, <sup>1</sup>H-MRI, and [1-<sup>11</sup>C]acetate PET/CT images from a patient harboring [1-<sup>11</sup>C]acetate PET/CT-visible cribriform lesion in the left peripheral zone (white arrow) and [1-<sup>11</sup>C]acetate PET/CT-occult noncribriform transition zone tumor.</p></caption><graphic xlink:href="pnas.2502423122fig01.tif" position="float" orientation="portrait" /></fig><p>Using spatially resolved desorption electrospray ionization mass spectrometry imaging (DESI-MSI) in one subcohort (<xref ref-type="fig" rid="fig01">Fig. 1<italic toggle="yes">A</italic></xref>), we found that unsaturated fatty acid biosynthesis was significantly enriched in cribriform epithelium (<xref ref-type="fig" rid="fig01">Fig. 1 <italic toggle="yes">C</italic> and <italic toggle="yes">D</italic></xref>), with 7 out of the 10 most distinctively enriched metabolites being unsaturated fatty acids (<ext-link ext-link-type="uri" xlink:href="http://www.pnas.org/lookup/doi/10.1073/pnas.2502423122#supplementary-materials" xlink:show="new"><italic toggle="yes">SI Appendix</italic></ext-link>). Immunohistochemistry in a second subcohort showed significant overexpression of the plasma membrane transporter for acetate (monocarboxylate transporter 1; MCT1) and fatty acid synthase (FASN) in cribriform GS7 tumors compared to noncribriform lesions (<xref ref-type="fig" rid="fig01">Fig. 1 <italic toggle="yes">E</italic> and <italic toggle="yes">F</italic></xref>). Consistently, [1-<sup>11</sup>C]acetate PET/CT demonstrated an average 1.5-fold increase in body-weight-normalized standardized uptake values (SUVbw) in cribriform lesions, sustained up to 60 min postinjection (<italic toggle="yes">P</italic> &lt; 0.05; <xref ref-type="fig" rid="fig01">Fig. 1 <italic toggle="yes">G</italic> and <italic toggle="yes">H</italic></xref>). Notably, two cribriform tumors misclassified on biopsy compared to prostatectomy had the highest [1-<sup>11</sup>C]acetate uptake (<xref ref-type="fig" rid="fig01">Fig. 1<italic toggle="yes">G</italic></xref>).</p><p>To complement the use [1-<sup>11</sup>C]acetate PET/CT as a sensitive nuclear medicine technique which may not be routinely available outside centers with sufficient capacity for in-house [1-<sup>11</sup>C]acetate production, we also explored <sup>1</sup>H-MRSI as an alternative clinical lipid imaging technique with high metabolite specificity and the potential to be added to the standard-of-care prostate MRI protocol. To do so, we performed <sup>1</sup>H-MRSI as part of routine imaging in a prospective cohort of 12 PCa patients who underwent <sup>1</sup>H-MRSI prior to an MRI-targeted biopsy (<xref ref-type="fig" rid="fig02">Fig. 2<italic toggle="yes">A</italic></xref>). <sup>1</sup>H-MRSI-derived fat fraction showed an almost fivefold increase in cribriform GS7 lesions compared to all other tissue types, including GS7 noncribriform tumors, GS6 tumors, and histologically benign regions (<italic toggle="yes">P</italic> &lt; 0.05; <xref ref-type="fig" rid="fig02">Fig. 2 <italic toggle="yes">B</italic> and <italic toggle="yes">C</italic></xref>). These findings aligned with the DESI-MSI results, while the ADCratio showed no distinction between the three tumor subtypes (<xref ref-type="fig" rid="fig02">Fig. 2<italic toggle="yes">B</italic></xref>).</p><fig position="float" fig-type="figure" id="fig02" orientation="portrait"><label>Fig. 2.</label><caption><p>Clinical fat-water <sup>1</sup>H-MRSI for crPCa detection in patients undergoing MRI-targeted biopsy. (<italic toggle="yes">A</italic>) Cohort description. (<italic toggle="yes">B</italic>) Comparison of <sup>1</sup>H-MRI tumor-to-urine ADCratio and <sup>1</sup>H-MRSI fat fraction between areas of histologically benign prostate, along with GS6, GS7 noncribriform, and GS7 cribriform tumors. (<italic toggle="yes">C</italic>) Representative T<sub>2</sub>-weighted images (T2WI) from patients with noncribriform (<italic toggle="yes">Top</italic>) and cribriform (<italic toggle="yes">Bottom</italic>) GS7 tumors with black, yellow, and red dotted areas denoting benign, noncribriform, and cribriform regions-of-interests (ROIs) used for extracting <sup>1</sup>H-MRI tumor-to-urine ADCratio and <sup>1</sup>H-MRSI fat fraction data. The panel also presents fused T2WI and <sup>1</sup>H-MRSI fat fraction maps from the same patients, along with representative 2 × 2 spectra from voxels within the outlined benign and tumor ROIs; lipid peaks are denoted by black arrows, with boxes in the right top corner of spectra presenting their magnified images. To aid visualization, these spectra have thicker lines and are black in color compared to the raw spectra presented in <ext-link ext-link-type="uri" xlink:href="http://www.pnas.org/lookup/doi/10.1073/pnas.2502423122#supplementary-materials" xlink:show="new"><italic toggle="yes">SI Appendix</italic></ext-link>.</p></caption><graphic xlink:href="pnas.2502423122fig02.tif" position="float" orientation="portrait" /></fig></sec><sec id="s2" sec-type="discussion"><title>Discussion</title><p content-type="flushleft">This study demonstrates the feasibility of using two clinical metabolic imaging techniques—[1-<sup>11</sup>C]acetate PET/CT and <sup>1</sup>H-MRSI—to improve noninvasive detection of crPCa by targeting its distinct metabolic features. Unlike our previous work, where DESI-MSI analysis was limited to just three metabolic pathways (<xref ref-type="bibr" rid="r10">10</xref>), here we leverage the full list of detected metabolites to confirm that increased fatty acid biosynthesis is among the most distinctive metabolic features of crPCa epithelium. As more in-depth studies of crPCa metabolism are conducted, the findings presented here warrant prospective multicenter validation in larger cohorts to assess the integration of metabolic imaging into routine clinical practice for improved crPCa detection.</p></sec><sec id="s3" sec-type="materials|methods"><title>Materials and Methods</title><p content-type="flushleft">Prior to surgery, all patients from the spatial metabolomics, immunohistochemistry, and [1-<sup>11</sup>C]acetate PET/CT subcohorts provided written informed consent for participation in the DIAMOND (03/018), MISSION-Prostate (16/EE/0205), and APtITuDE (CUH/15/EE/0213) studies approved by the National Research Ethics Service (NRES) Committee East of England, Cambridge South. APtITuDE study was also approved by the Administration of Radioactive Substances Advisory Committee (certificate reference RPC/83/400/33606). All patients from the targeted biopsy cohort provided written informed consent for adding <sup>1</sup>H-MRSI to their standard-of-care prostate MRI protocol as part of the prospective study approved by NRES East of England, Cambridge South (16/EE/0346). <sup>1</sup>H-MRI ADCratio and epithelial cell density quantification methods have been described previously (<xref ref-type="bibr" rid="r10">10</xref>, <xref ref-type="bibr" rid="r11">11</xref>). Detailed DESI-MSI and immunohistochemistry acquisition and analysis protocols are provided in the original cohort description (<xref ref-type="bibr" rid="r10">10</xref>). [1-<sup>11</sup>C]acetate PET/CT and <sup>1</sup>H-MRSI acquisition and analysis protocols are provided in <ext-link ext-link-type="uri" xlink:href="http://www.pnas.org/lookup/doi/10.1073/pnas.2502423122#supplementary-materials" xlink:show="new"><italic toggle="yes">SI Appendix</italic></ext-link>, with the [1-<sup>11</sup>C]acetate production method detailed previously (<xref ref-type="bibr" rid="r12">12</xref>).</p></sec></body><back><sec id="s4" sec-type="data-availability"><title>Data, Materials, and Software Availability</title><p content-type="flushleft">Some study data are available. Access to the de-identified data can be provided upon a reasonable request to the corresponding author and is subject to appropriate regulatory approvals and data transfer agreements between the Cambridge University, Cambridge University Hospitals NHS Foundation Trust, and the recipient institution.</p></sec><ack><p>This study was supported by Prostate Cancer UK (PCUK; Grant PA14-012), Cancer Research UK (CRUK; Grant C197/A16465), CRUK Cambridge Centre, the National Institute of Health Research (NIHR) Cambridge Biomedical Research Centre (NIHR203312), AstraZeneca, the Engineering and Physical Sciences Research Council Imaging Centre in Cambridge and Manchester, and the Cambridge Experimental Cancer Medicine Centre. N.S. acknowledges the support from Emmanuel College, Cambridge. A.Y.W. is supported by the Urological Malignancies Programme of the CRUK Cambridge Centre (C9685/A25177) and NIHR Cambridge Biomedical Research Centre (BRC-1215-20014). V.J.G. acknowledges infrastructure support from the NIHR Cambridge Biomedical Research Centre (BRC-1215-20014).</p><sec id="s5"><title>Author contributions</title><p>N.S., G.H., F.A.G., and T.B. designed research; N.S., G.H., R.M., M.A.M., J.B., D.S., D.Y.L., L.A., L.F., A.Z., A.Y.W., and T.B. performed research; I.G.M., V.J.G., S.T.B., R.J.A.G., F.A.G., and T.B. contributed new reagents/analytic tools; N.S., G.H., R.M., M.A.M., J.B., D.S., D.Y.L., L.A., L.F., A.Z., and A.Y.W. analyzed data; and N.S., G.H., F.A.G., and T.B. wrote the paper.</p></sec><sec id="s6"><title>Competing interests</title><p>G.H., L.F., S.T.B., and R.J.A.G. are AstraZeneca employees. F.A.G. has research support from GE Healthcare and has consulted for AstraZeneca on behalf of the University of Cambridge.</p></sec></ack><fn-group><fn id="fn5" fn-type="other"><p>This article is a PNAS Direct Submission.</p></fn></fn-group><ref-list><ref id="r1"><label>1</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><given-names>G.</given-names> <surname>Marra</surname></string-name> <etal /></person-group>, <article-title>Impact of epithelial histological types, subtypes, and growth patterns on oncological outcomes for patients with nonmetastatic prostate cancer treated with curative intent: A systematic review</article-title>. <source>Eur. Urol.</source> <volume><bold>84</bold></volume>, <fpage>65</fpage>–<lpage>85</lpage> (<year>2023</year>).</mixed-citation></ref><ref id="r2"><label>2</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><given-names>G. J. L. H.</given-names> <surname>Van Leenders</surname></string-name> <etal /></person-group>, <article-title>The 2019 International Society of Urological Pathology (ISUP) consensus conference on grading of prostatic carcinoma</article-title>. <source>Am. J. Surg. Pathol.</source> <volume><bold>44</bold></volume>, <fpage>E87</fpage>–<lpage>E99</lpage> (<year>2020</year>).</mixed-citation></ref><ref id="r3"><label>3</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><given-names>J. I.</given-names> <surname>Epstein</surname></string-name> <etal /></person-group>, <article-title>The 2019 Genitourinary Pathology Society (GUPS) white paper on contemporary grading of prostate cancer</article-title>. <source>Arch. Pathol. Lab. Med.</source> <volume><bold>145</bold></volume>, <fpage>461</fpage>–<lpage>493</lpage> (<year>2021</year>).</mixed-citation></ref><ref id="r4"><label>4</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><given-names>P.</given-names> <surname>Cornford</surname></string-name> <etal /></person-group>, <article-title>EAU-EANM-ESTRO-ESUR-ISUP-SIOG guidelines on prostate cancer—2024 update. Part I: Screening, diagnosis, and local treatment with curative intent</article-title>. <source>Eur. Urol.</source> <volume><bold>86</bold></volume>, <fpage>148</fpage>–<lpage>163</lpage> (<year>2024</year>).</mixed-citation></ref><ref id="r5"><label>5</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><given-names>R. M.</given-names> <surname>Bernardino</surname></string-name> <etal /></person-group>, <article-title>Limitations of prostate biopsy in detection of cribriform and intraductal prostate cancer</article-title>. <source>Eur. Urol. Focus</source> <volume><bold>10</bold></volume>, <fpage>146</fpage>–<lpage>153</lpage> (<year>2024</year>).</mixed-citation></ref><ref id="r6"><label>6</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><given-names>S.</given-names> <surname>Ghai</surname></string-name> <etal /></person-group>, <article-title>Comparison of multiparametric MRI-targeted and systematic biopsies for detection of cribriform and intraductal carcinoma prostate cancer</article-title>. <source>Radiology</source> <volume><bold>312</bold></volume>, <fpage>1</fpage>–<lpage>9</lpage> (<year>2024</year>).</mixed-citation></ref><ref id="r7"><label>7</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><given-names>J.</given-names> <surname>Czernin</surname></string-name>, <string-name name-style="western"><given-names>M. R.</given-names> <surname>Benz</surname></string-name>, <string-name name-style="western"><given-names>M. S.</given-names> <surname>Allen-Auerbach</surname></string-name></person-group>, <article-title>PET imaging of prostate cancer using 11C-acetate</article-title>. <source>PET Clin.</source> <volume><bold>4</bold></volume>, <fpage>163</fpage> (<year>2009</year>).</mixed-citation></ref><ref id="r8"><label>8</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><given-names>E. Y.</given-names> <surname>Yu</surname></string-name> <etal /></person-group>, <article-title>C11-Acetate and F-18 FDG PET for men with prostate cancer bone metastases: Relative findings and response to therapy</article-title>. <source>Clin. Nucl. Med.</source> <volume><bold>36</bold></volume>, <fpage>192</fpage> (<year>2011</year>).</mixed-citation></ref><ref id="r9"><label>9</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><given-names>M.</given-names> <surname>Haseebuddin</surname></string-name> <etal /></person-group>, <article-title>11C-acetate PET/CT before radical prostatectomy: Nodal staging and treatment failure prediction</article-title>. <source>J. Nucl. Med.</source> <volume><bold>54</bold></volume>, <fpage>699</fpage> (<year>2013</year>).</mixed-citation></ref><ref id="r10"><label>10</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><given-names>N.</given-names> <surname>Sushentsev</surname></string-name> <etal /></person-group>, <article-title>Metabolic imaging across scales reveals distinct prostate cancer phenotypes</article-title>. <source>Nat. Commun.</source> <volume><bold>15</bold></volume>, <fpage>1</fpage>–<lpage>22</lpage> (<year>2024</year>).</mixed-citation></ref><ref id="r11"><label>11</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><given-names>T.</given-names> <surname>Barrett</surname></string-name> <etal /></person-group>, <article-title>Ratio of tumor to normal prostate tissue apparent diffusion coefficient as a method for quantifying DWI of the prostate</article-title>. <source>AJR Am. J. Roentgenol.</source> <volume><bold>205</bold></volume>, <fpage>W585</fpage>–<lpage>W593</lpage> (<year>2015</year>).</mixed-citation></ref><ref id="r12"><label>12</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><given-names>D.</given-names> <surname>Soloviev</surname></string-name>, <string-name name-style="western"><given-names>C.</given-names> <surname>Tamburella</surname></string-name></person-group>, <article-title>Captive solvent [11C]acetate synthesis in GMP conditions</article-title>. <source>Appl. Radiat. Isot.</source> <volume><bold>64</bold></volume>, <fpage>995</fpage>–<lpage>1000</lpage> (<year>2006</year>).</mixed-citation></ref></ref-list><sec sec-type="supplementary-material" id="s7"><title>Supporting Information</title><sec id="s8"><title /><supplementary-material xlink:href="suppl/pnas.2502423122.sapp.pdf" mimetype="appendix" mime-subtype="PDF" position="float" orientation="portrait"><caption><p>Appendix 01 (PDF)</p></caption></supplementary-material></sec></sec></back></article>
