Hyperpolarized MRI of Human Prostate Cancer Reveals Increased Lactate with Tumor Grade Driven by Monocarboxylate Transporter 1
Open accessAbstract
Metabolic imaging using hyperpolarized magnetic resonance can increase the sensitivity of MRI, though its ability to inform on relevant changes to biochemistry in humans remains unclear. In this work, we image pyruvate metabolism in patients, assessing the reproducibility of delivery and conversion in the setting of primary prostate cancer. We show that the time to max of pyruvate does not vary significantly within patients undergoing two separate injections or across patients. Furthermore, we show that lactate increases with Gleason grade. RNA sequencing data demonstrate a significant increase in the predominant pyruvate uptake transporter, monocarboxylate transporter 1. Increased protein expression was also observed in regions of high lactate signal, implicating it as the driver of lactate signal in vivo. Targeted DNA sequencing for actionable mutations revealed the highest lactate occurred in patients with PTEN loss. This work identifies a potential link between actionable genomic alterations and metabolic information derived from hyperpolarized pyruvate MRI.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In human prostate cancer, tumor grade correlates with MCT1 expression and with imaging of 13C-lactate after injection of hyperpolarized 13C-pyruvate.
“In human prostate cancer, tumor grade correlates with MCT1 expression and with imaging of 13C-lactate after injection of hyperpolarized 13C-pyruvate (122).”
From Metabolic reprogramming and cancer progression (2020) · cites this paper as [122]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21492 · Cited by 84,109 · see citing works
Siegel, R. L., Miller, K. D., & Jemal, A. (2018) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21442 · Cited by 16,632 · see citing works
voom: precision weights unlock linear model analysis tools for RNA-seq read counts
Law, C. W., Chen, Y., Shi, W., & Smyth, G. K. (2014) · Genome Biology · doi:10.1186/gb-2014-15-2-r29 · Cited by 6,155 · see citing works
Regulation of cancer cell metabolism
Cairns, R. A., Harris, I. S., & Mak, T. W. (2011) · Nature Reviews Cancer · doi:10.1038/nrc2981 · Cited by 4,744 · see citing works
The Biology of Cancer: Metabolic Reprogramming Fuels Cell Growth and Proliferation
DeBerardinis, R. J., Lum, J. J., Hatzivassiliou, G., & Thompson, C. B. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2007.10.002 · Cited by 4,088 · see citing works
Integrative Genomic Profiling of Human Prostate Cancer
Taylor, B. S., Schultz, N. D., Hieronymus, H., Gopalan, A., Xiao, Y., Carver, B. S., Arora, V. K., Kaushik, P., Cerami, E. G., Reva, B. A., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2010.05.026 · Cited by 3,653 · see citing works
Self-citationThe Molecular Taxonomy of Primary Prostate Cancer
Abeshouse, A. A., Ahn, J., Akbani, R., Ally, A., Amin, S. B., Andry, C., Annala, M., Aprikian, A. G., Armenia, J., Arora, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.10.025 · Cited by 3,081 · see citing works
Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT)
Cheng, D. T., Mitchell, T. N., Zehir, A., Shah, R. H., Benayed, R., Syed, A., Chandramohan, R., Liu, Z. Y., Won, H. H., Scott, S. N., et al. (2015) · The Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2014.12.006 · Cited by 2,119 · see citing works
Radical Prostatectomy versus Watchful Waiting in Early Prostate Cancer
Bill‐Axelson, A., Holmberg, L., Ruutu, M. L., Garmo, H., Rider, J. R., Busch, C., Nordling, S., Häggman, M., Andersson, S., BRATELL, S., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1011967 · Cited by 1,899 · see citing works
Glucose feeds the TCA cycle via circulating lactate
Hui, S., Ghergurovich, J. M., Morscher, R. J., Jang, C., Teng, X., Lu, W., Esparza, L. A., Reya, T., Zhan, L., Yanxiang Guo, J., et al. (2017) · Nature · doi:10.1038/nature24057 · Cited by 1,721 · see citing works
The proton-linked monocarboxylate transporter (MCT) family: structure, function and regulation
Halestrap, A. P., & Price, N. T. (1999) · Biochemical Journal · doi:10.1042/bj3430281 · Cited by 1,346 · see citing works
Lactate Metabolism in Human Lung Tumors
Faubert, B., Li, K. Y., Cai, L., Hensley, C. T., Kim, J., Zacharias, L. G., Yang, C., Do, Q. N., Doucette, S., Burguete, D., et al. (2017) · Cell · doi:10.1016/j.cell.2017.09.019 · Cited by 1,343 · see citing works
Metabolic Imaging of Patients with Prostate Cancer Using Hyperpolarized [1- 13 C]Pyruvate
Nelson, S. J., Kurhanewicz, J. V., Vigneron, D. B., Larson, P. E. Z., Harzstark, A. L., Ferrone, M., Criekinge, M. V., Chang, J. W., Bok, R., Park, I., et al. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3006070 · Cited by 1,289 · see citing works
Self-citationThe genomic complexity of primary human prostate cancer
Berger, M. F., Lawrence, M. S., Demichelis, F., Drier, Y., Cibulskis, K., Sivachenko, A., Sboner, A., Esgueva, R., Pflueger, D., Sougnez, C. L., et al. (2011) · Nature · doi:10.1038/nature09744 · Cited by 1,213 · see citing works
The Multiple Roles of PTEN in Tumor Suppression
Di Cristofano, A., & Pandolfi, P. P. (2000) · Cell · doi:10.1016/s0092-8674(00)80674-1 · Cited by 1,182 · see citing works
Radical Prostatectomy versus Watchful Waiting in Early Prostate Cancer
Bill-Axelson, A., Holmberg, L., Ruutu, M., Häggman, M., Andersson, S.-O., Bratell, S., Spångberg, A., Busch, C., Nordling, S., Garmo, H., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa043739 · Cited by 1,111 · see citing works
Day, S. E., Kettunen, M. I., Gallagher, F. A., Hu, D., Lerche, M. H., Wolber, J., Golman, K., Ardenkjær‐Larsen, J. H., & Brindle, K. M. (2007) · Nature Medicine · doi:10.1038/nm1650 · Cited by 882 · see citing works
Natural History of Early, Localized Prostate Cancer
Johansson, J. (2004) · JAMA · doi:10.1001/jama.291.22.2713 · Cited by 698 · see citing works
The androgen receptor fuels prostate cancer by regulating central metabolism and biosynthesis
Massie, C. E., Lynch, A., Ramos‐Montoya, A., Boren, J., Stark, R., Fazli, L., Warren, A., Scott, H., Madhu, B., Sharma, N., et al. (2011) · The EMBO Journal · doi:10.1038/emboj.2011.158 · Cited by 624 · see citing works
San-Millán, I., & Brooks, G. A. (2016) · Carcinogenesis · doi:10.1093/carcin/bgw127 · Cited by 613 · see citing works
PATTERNS OF PROGRESSION IN PROSTATE CANCER
McNeal, J. E., Kindrachuk, R. W., Freiha, F. S., Bostwick, D. G., Redwine, E. A., & Stamey, T. A. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90715-4 · Cited by 582 · see citing works
Akt-dependent metabolic reprogramming regulates tumor cell histone acetylation
Lee, J. V., Carrer, A., Shah, S., Snyder, N. W., Wei, S., Venneti, S., Worth, A. J., Yuan, Z.-F., Lim, H.-W., Liu, S., et al. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.06.004 · Cited by 563 · see citing works
Albers, M. J., Bok, R., Chen, A. P., Cunningham, C. H., Zierhut, M. L., Zhang, V. Y., Kohler, S. J., Tropp, J. S., Hurd, R. E., Yen, Y., et al. (2008) · Cancer Research · doi:10.1158/0008-5472.can-08-0749 · Cited by 521 · see citing works
Self-citationHyperpolarized 13C MRI: Path to Clinical Translation in Oncology
Kurhanewicz, J. V., Vigneron, D. B., Ardenkjær‐Larsen, J. H., Bankson, J. A., Brindle, K. M., Cunningham, C. H., Gallagher, F. A., Keshari, K. R., Kjær, A., Laustsen, C., et al. (2018) · Neoplasia · doi:10.1016/j.neo.2018.09.006 · Cited by 441 · see citing works
Self-citationHyperpolarized 13 C Metabolic MRI of the Human Heart
Cunningham, C. H., Lau, J. Y. C., Chen, A. P., Geraghty, B. J., Perks, W. J., Roifman, I., Wright, G. A., & Connelly, K. A. (2016) · Circulation Research · doi:10.1161/circresaha.116.309769 · Cited by 359 · see citing works
Self-citationKeshari, K. R., & Wilson, D. M. (2013) · Chemical Society Reviews · doi:10.1039/c3cs60124b · Cited by 357 · see citing works
Self-citationPathway Thermodynamics Highlights Kinetic Obstacles in Central Metabolism
Noor, Ε., Bar‐Even, A., Flamholz, A. I., Reznik, E., Liebermeister, W., & Milo, R. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003483 · Cited by 342 · see citing works
Self-citationValencia, T., Kim, J. Y., Abu-Baker, S., Moscat-Pardos, J., Ahn, C. S., Reina-Campos, M., Duran, A., Castilla, E. A., Metallo, C. M., Diaz-Meco, M. T., et al. (2014) · Cancer Cell · doi:10.1016/j.ccr.2014.05.004 · Cited by 304 · see citing works
Han, M., Partin, A. W., Piantadosi, S., Epstein, J. I., & Walsh, P. C. (2001) · The Journal of Urology · doi:10.1016/s0022-5347(05)65955-1 · Cited by 286 · see citing works
Smith, J. A. J., Chan, R. C., Chang, S. S., Herrell, S. D., Clark, P. E., Baumgartner, R., & Cookson, M. S. (2007) · The Journal of Urology · doi:10.1016/j.juro.2007.08.008 · Cited by 279 · see citing works
Miloushev, V. Z., Granlund, K. L., Boltyanskiy, R., Lyashchenko, S. K., DeAngelis, L. M., Mellinghoff, I. K., Brennan, C. W., Tabar, V., Yang, J. T., Holodny, A. I., et al. (2018) · Cancer Research · doi:10.1158/0008-5472.can-18-0221 · Cited by 218 · see citing works
Self-citationTessem, M., Swanson, M. G., Keshari, K. R., Albers, M. J., Joun, D., Tabatabai, Z. L., Simko, J., Shinohara, K., Nelson, S. J., Vigneron, D. B., et al. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21694 · Cited by 200 · see citing works
Self-citationPucar, D., Shukla‐Dave, A., Hricak, H., Moskowitz, C. S., Kuroiwa, K., Olgac, S., Ebora, L. E., Scardino, P. T., Koutcher, J. A., & Zakian, K. L. (2005) · Radiology · doi:10.1148/radiol.2362040739 · Cited by 197 · see citing works
Self-citationMolecular imaging using hyperpolarized 13C
Golman, K., Olsson, L. E., Axelsson, O., Månsson, S., Karlsson, M. G., & Petersson, J. (2003) · British Journal of Radiology · doi:10.1259/bjr/26631666 · Cited by 182 · see citing works
Aggarwal, R. R., Vigneron, D. B., & Kurhanewicz, J. V. (2017) · European Urology · doi:10.1016/j.eururo.2017.07.022 · Cited by 153 · see citing works
AKT1 and MYC Induce Distinctive Metabolic Fingerprints in Human Prostate Cancer
Priolo, C., Pyne, S., Rose, J. A., Regan, E. R., Zadra, G., Photopoulos, C., Cacciatore, S., Schultz, D., Scaglia, N., McDunn, J. E., et al. (2014) · Cancer Research · doi:10.1158/0008-5472.can-14-1490 · Cited by 135 · see citing works
Larson, P. E. Z., Chen, H., Gordon, J. W., Korn, N. J., Maidens, J., Arcak, M., Tang, S., Criekinge, M. V., Carvajal, L. E., Mammoli, D., et al. (2018) · NMR in Biomedicine · doi:10.1002/nbm.3997 · Cited by 111 · see citing works
Keshari, K. R., Sriram, R., Criekinge, M. V., Wilson, D. M., Wang, Z. J., Vigneron, D. B., Peehl, D. M., & Kurhanewicz, J. V. (2013) · The Prostate · doi:10.1002/pros.22665 · Cited by 105 · see citing works
Self-citationMoussa, A. S., Meshref, A. W., Schoenfield, L. R., Masoud, A., Abdelrahman, S. F., Li, J., Flazoura, S., Magi‐Galluzzi, C., Fergany, A. F., Fareed, K., et al. (2010) · Urology · doi:10.1016/j.urology.2009.11.008 · Cited by 99 · see citing works
Improved prostate cancer detection with anterior apical prostate biopsies
Wright, J. L., & Ellis, W. J. (2006) · Urologic Oncology Seminars and Original Investigations · doi:10.1016/j.urolonc.2006.03.003 · Cited by 76 · see citing works
Updegraff, B. L., Zhou, X., Guo, Y., Padanad, M. S., Chen, P.-H., Yang, C., Sudderth, J., Tirado, C. R., Girard, L., Minna, J. D., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.10.100 · Cited by 57 · see citing works
Self-citationVery distal apical prostate tumours: identification on multiparametric MRI at 3 Tesla
Nix, J. W., Türkbey, B., Hoang, A., Volkin, D., Yerram, N. K., Chua, C., Linehan, W. M., Wood, B. J., Choyke, P. L., & Pinto, P. A. (2012) · British Journal of Urology · doi:10.1111/j.1464-410x.2012.11503.x · Cited by 56 · see citing works
Tropp, J. S., Lupo, J., Chen, A., Calderon, P. D., McCune, D., Grafendorfer, T., Öztürk-Işık, E., Larson, P. E. Z., Hu, S., Yen, Y., et al. (2010) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2010.10.007 · Cited by 54 · see citing works
Self-citationHigh‐speed 3T MR spectroscopic imaging of prostate with flyback echo‐planar encoding
Chen, A. P., Cunningham, C. H., Öztürk-Işık, E., Xu, D., Hurd, R. E., Kelley, D. A. C., Pauly, J. M., Kurhanewicz, J. V., Nelson, S. J., & Vigneron, D. B. (2007) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20916 · Cited by 50 · see citing works
Self-citationProstate Cancer: Top Places Where Tumors Hide on Multiparametric MRI
Rosenkrantz, A. B., Verma, S., & Türkbey, B. (2015) · American Journal of Roentgenology · doi:10.2214/ajr.14.13280 · Cited by 40 · see citing works
Boutier, R., Girouin, N., Cheikh, A. B., Belot, A., Rabilloud, M., Gelet, A., Chapelon, J., & Rouvière, O. (2011) · British Journal of Urology · doi:10.1111/j.1464-410x.2011.10251.x · Cited by 38 · see citing works
Dong, Y., Eskandari, R., Ray, C., Granlund, K. L., Cunha, L. S., Miloushev, V. Z., Tee, S. S., Jeong, S., Aras, Ö., Chen, Y., et al. (2018) · Cancer Research · doi:10.1158/0008-5472.can-18-2231 · Cited by 36 · see citing works
Self-citationKeshari, K. R., Wilson, D. M., Criekinge, M. V., Sriram, R., Koelsch, B. L., Wang, Z. J., VanBrocklin, H. F., Peehl, D. M., O'Brien, T., Sampath, D., et al. (2015) · The Prostate · doi:10.1002/pros.23036 · Cited by 33 · see citing works
Self-citationMRI of the Pelvis: A Text Atlas
Carrington, B. M., & Hricak, H. (1992) · Medical Entomology and Zoology · Cited by 31 · see citing works
Self-citationHan, M., Partin, A. W., Piantadosi, S., et al. (2001) · The Journal of Urology · doi:10.1097/00005392-200108000-00005 · Cited by 26 · see citing works
Levin, Y. S., Albers, M. J., Butler, T. N., Spielman, D. M., Peehl, D. M., & Kurhanewicz, J. V. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22120 · Cited by 24 · see citing works
Measurement Repeatability of18F-FDG PET/CT Versus18F-FDG PET/MRI in Solid Tumors of the Pelvis
Fraum, T. J., Fowler, K. J., Crandall, J. P., Laforest, R. A., Salter, A. R., An, H., Jacobs, M. A., Grigsby, P. W., Dehdashti, F., & Wahl, R. L. (2019) · Journal of Nuclear Medicine · doi:10.2967/jnumed.118.218735 · Cited by 24 · see citing works
Tee, S. S., Suster, I., Truong, S., Jeong, S., Eskandari, R., DiGialleonardo, V., Alvarez, J. A., Aldeborgh, H. N., & Keshari, K. R. (2018) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-17-0458 · Cited by 23 · see citing works
Self-citationNoninvasive Interrogation of Cancer Metabolism with Hyperpolarized 13C MRI
Cho, A., Lau, J. Y. C., Geraghty, B. J., Cunningham, C. H., & Keshari, K. R. (2017) · Journal of Nuclear Medicine · doi:10.2967/jnumed.116.182170 · Cited by 22 · see citing works
Self-citationStarobinets, O., Simko, J., Kuchinsky, K., Kornak, J., Carroll, P. R., Greene, K. L., Kurhanewicz, J. V., & Noworolski, S. M. (2017) · NMR in Biomedicine · doi:10.1002/nbm.3796 · Cited by 22 · see citing works
Multinuclear NMR and MRI Reveal an Early Metabolic Response to mTOR Inhibition in Sarcoma
Gialleonardo, V. D., Aldeborgh, H. N., Miloushev, V. Z., Folkers, K. M., Granlund, K. L., Tap, W. D., Lewis, J. S., Weber, W., & Keshari, K. R. (2017) · Cancer Research · doi:10.1158/0008-5472.can-16-3310 · Cited by 19 · see citing works
Self-citationBolus tracking for improved metabolic imaging of hyperpolarised compounds
Durst, M., Koellisch, U., Gringeri, C. V., Janich, M., Rancan, G., Frank, A., Wiesinger, F., Menzel, M. I., Haase, A., & Schulte, R. F. (2014) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2014.02.011 · Cited by 18 · see citing works
SIFT, a Postprocessing Method That Increases the Signal-to-Noise Ratio of Spectra Which Vary in Time
Doyle, M., Chapman, B. L. W., Balschi, J. A., & Pohost, G. M. (1994) · Journal of Magnetic Resonance Series B · doi:10.1006/jmrb.1994.1020 · Cited by 9 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Metabolic reprogramming and cancer progression
Faubert, B., Solmonson, A., & DeBerardinis, R. J. (2020) · Science · doi:10.1126/science.aaw5473 · Cited by 2,740 · see citing works
Limited Environmental Serine and Glycine Confer Brain Metastasis Sensitivity to PHGDH Inhibition
Ngo, B., Kim, E., Osorio-Vasquez, V., Doll, S., Bustraan, S., Liang, R. J., Luengo, A., Davidson, S. M., Ali, A., Ferraro, G. B., et al. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-1228 · Cited by 268 · see citing works
Self-citationLuo, Y., Yang, Z., Yu, Y., & Zhang, P. (2022) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2022.10.014 · Cited by 252 · see citing works
Hayes, C., Donohoe, C. L., Davern, M., & Donlon, N. E. (2020) · Cancer Letters · doi:10.1016/j.canlet.2020.12.021 · Cited by 215 · see citing works
The pleiotropic functions of reactive oxygen species in cancer
Wu, K., Zowalaty, A. E. E., Sayin, V. I., & Papagiannakopoulos, T. Y. (2024) · Nature Cancer · doi:10.1038/s43018-024-00738-9 · Cited by 203 · see citing works
The emerging role of lactate in tumor microenvironment and its clinical relevance
Chen, S., Xu, Y., Zhuo, W., & Zhang, L. (2024) · Cancer Letters · doi:10.1016/j.canlet.2024.216837 · Cited by 200 · see citing works
Imaging breast cancer using hyperpolarized carbon-13 MRI
Gallagher, F. A., Woitek, R., McLean, M. A., Gill, A. B., García, R. M., Provenzano, E., Riemer, F., Kaggie, J. D., Chhabra, A., Ursprung, S., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1913841117 · Cited by 199 · see citing works
Lactate Rewires Lipid Metabolism and Sustains a Metabolic–Epigenetic Axis in Prostate Cancer
Ippolito, L., Comito, G., Parri, M., Iozzo, M., Duatti, A., Virgilio, F., Lorito, N., Bacci, M., Pardella, E., Sandrini, G., et al. (2022) · Cancer Research · doi:10.1158/0008-5472.can-21-0914 · Cited by 181 · see citing works
Metabolic analysis as a driver for discovery, diagnosis, and therapy
DeBerardinis, R. J., & Keshari, K. R. (2022) · Cell · doi:10.1016/j.cell.2022.06.029 · Cited by 172 · see citing works
Self-citationMRI-guided Radiation Therapy: An Emerging Paradigm in Adaptive Radiation Oncology
Otazo, R., Lambin, P., Pignol, J., Ladd, M. E., Schlemmer, H., Baumann, M. A., & Hricak, H. (2020) · Radiology · doi:10.1148/radiol.2020202747 · Cited by 170 · see citing works
Self-citationTumour metabolism and its unique properties in prostate adenocarcinoma
Bader, D. A., & McGuire, S. E. (2020) · Nature Reviews Urology · doi:10.1038/s41585-020-0288-x · Cited by 154 · see citing works
Metabolic pathway analysis using stable isotopes in patients with cancer
Bartman, C., Faubert, B., Rabinowitz, J. D., & DeBerardinis, R. J. (2023) · Nature reviews. Cancer · doi:10.1038/s41568-023-00632-z · Cited by 87 · see citing works
Rao, Y., Gammon, S. T., Zacharias, N. M., Liu, T. W. B., Salzillo, T. C., Xi, Y., Wang, J., Bhattacharya, P. K., & Piwnica-Worms, D. R. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2003537117 · Cited by 79 · see citing works
Metabolic adaptations in prostate cancer
Pujana-Vaquerizo, M., Bozal‐Basterra, L., & Carracedo, A. (2024) · British Journal of Cancer · doi:10.1038/s41416-024-02762-z · Cited by 72 · see citing works
Current methods for hyperpolarized [ 1‐ 13 C ]pyruvate MRI human studies
Larson, P. E. Z., Bernard, J. M. L., Bankson, J. A., Bøgh, N., Bok, R., Chen, A. P., Cunningham, C. H., Gordon, J. W., Hövener, J., Laustsen, C., et al. (2024) · Magnetic Resonance in Medicine · doi:10.1002/mrm.29875 · Cited by 69 · see citing works
Self-citationXia, F., Zhao, P., Gao, S., Liu, D., Zhang, S., Shan, M., Wang, Y., Herrmann, J., Li, Q., & Wang, F. (2023) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2023.123810 · Cited by 69 · see citing works
Sushentsev, N., McLean, M. A., Warren, A. Y., Benjamin, A. J. V., Brodie, C. R., Frary, A. J., Gill, A. B., Jones, J. L., Kaggie, J. D., Lamb, B. W., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28069-2 · Cited by 67 · see citing works
Self-citationTargeting Mitochondrial OXPHOS and Their Regulatory Signals in Prostate Cancers
Chen, C., Lin, C., & Kung, H. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222413435 · Cited by 62 · see citing works
Tang, S., Meng, M. V., Slater, J. B., Gordon, J. W., Vigneron, D. B., Stohr, B. A., Larson, P. E. Z., & Wang, Z. J. (2021) · Cancer · doi:10.1002/cncr.33554 · Cited by 57 · see citing works
Boufaied, N., Chetta, P., Hallal, T., Cacciatore, S., Lalli, D., Luthold, C., Homsy, K., Imada, E. L., Syamala, S., Photopoulos, C., et al. (2024) · Cancer Research · doi:10.1158/0008-5472.can-23-0519 · Cited by 54 · see citing works
Woitek, R., McLean, M. A., Ursprung, S., Rueda, O. M., García, R. M., Locke, M. J., Beer, L., Baxter, G. C., Rundo, L., Provenzano, E., et al. (2021) · Cancer Research · doi:10.1158/0008-5472.can-21-1499 · Cited by 53 · see citing works
Clinical and genomic features of SPOP‐mutant prostate cancer
Nakazawa, M., Fang, M., Marshall, C. H., Lotan, T. L., Velho, P. I., & Antonarakis, E. S. (2021) · The Prostate · doi:10.1002/pros.24269 · Cited by 53 · see citing works
Ursprung, S., Woitek, R., McLean, M. A., Priest, A. N., Crispin‐Ortuzar, M., Brodie, C. R., Gill, A. B., Gehrung, M., Beer, L., Riddick, A. C. P., et al. (2022) · Cancers · doi:10.3390/cancers14020335 · Cited by 52 · see citing works
pH-Channeling in Cancer: How pH-Dependence of Cation Channels Shapes Cancer Pathophysiology
Pethő, Z., Najder, K., Carvalho, T. M. A., McMorrow, R., Todesca, L. M., Rugi, M., Bulk, E., Chan, A. B., Löwik, C. W. G. M., Reshkin, S. J., et al. (2020) · Cancers · doi:10.3390/cancers12092484 · Cited by 51 · see citing works
Nutrient transporters: connecting cancer metabolism to therapeutic opportunities
Nwosu, Z. C., Song, M. G., di Magliano, M. P., Lyssiotis, C. A., & Kim, S. E. (2023) · Oncogene · doi:10.1038/s41388-023-02593-x · Cited by 47 · see citing works
The use of hyperpolarised 13C-MRI in clinical body imaging to probe cancer metabolism
Woitek, R., & Gallagher, F. A. (2021) · British Journal of Cancer · doi:10.1038/s41416-020-01224-6 · Cited by 46 · see citing works
Hyperpolarized Carbon 13 MRI: Clinical Applications and Future Directions in Oncology
Deen, S. S., Rooney, C. H. E., Shinozaki, A., McGing, J., Grist, J. T., Tyler, D. J., Serrão, E. M., & Gallagher, F. A. (2023) · Radiology Imaging Cancer · doi:10.1148/rycan.230005 · Cited by 46 · see citing works
A variable resolution approach for improved acquisition of hyperpolarized 13 C metabolic MRI
Gordon, J. W., Autry, A. W., Tang, S., Graham, J. Y., Bok, R., Zhu, X., Villanueva-Meyer, J. E., Li, Y., Ohliger, M. A., Abraham, M. R., et al. (2020) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28421 · Cited by 46 · see citing works
Comprehensive Literature Review of Hyperpolarized Carbon-13 MRI: The Road to Clinical Application
Væggemose, M., Schulte, R. F., & Laustsen, C. (2021) · Metabolites · doi:10.3390/metabo11040219 · Cited by 45 · see citing works
Germain, L., Lafront, C., Paquette, V., Neveu, B., Paquette, J., Pouliot, F., & Audet‐Walsh, É. (2023) · Nature Reviews Urology · doi:10.1038/s41585-023-00726-1 · Cited by 43 · see citing works
Lactate as Key Metabolite in Prostate Cancer Progression: What Are the Clinical Implications?
Chetta, P., Sriram, R., & Zadra, G. (2023) · Cancers · doi:10.3390/cancers15133473 · Cited by 43 · see citing works
Crane, J. C., Gordon, J. W., Chen, H., Autry, A. W., Li, Y., Olson, M. P., Kurhanewicz, J. V., Vigneron, D. B., Larson, P. E. Z., & Xu, D. (2020) · NMR in Biomedicine · doi:10.1002/nbm.4280 · Cited by 42 · see citing works
Wang, Q., Liu, J., Chen, Z., Zheng, J., Wang, Y., & Dong, J. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.116021 · Cited by 40 · see citing works
van Zijl, P. C. M., Brindle, K. M., Lu, H., Barker, P. B., Edden, R. A. E., Yadav, N. N., & Knutsson, L. (2021) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2021.06.003 · Cited by 38 · see citing works
Giafaglione, J. M., Crowell, P. D., Delcourt, A. M. L., Hashimoto, T., Ha, S. M., Atmakuri, A., Nunley, N. M., Dang, R. M. A., Tian, M., Diaz, J. A., et al. (2023) · Nature Cell Biology · doi:10.1038/s41556-023-01274-x · Cited by 37 · see citing works
Fast Imaging for Hyperpolarized MR Metabolic Imaging
Gordon, J. W., Chen, H., Dwork, N., Tang, S., & Larson, P. E. Z. (2020) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.27070 · Cited by 36 · see citing works
Aisu, Y., Oshima, N., Hyodo, F., Elhelaly, A. E., Masuo, A., Okada, T., Hisamori, S., Tsunoda, S., Hida, K., Morimoto, T., et al. (2024) · PLoS ONE · doi:10.1371/journal.pone.0309700 · Cited by 35 · see citing works
Metabolomics in hepatocellular carcinoma: From biomarker discovery to precision medicine
Wu, X., Wang, Z., Luo, L., Shu, D., & Wang, K. (2023) · Frontiers in Medical Technology · doi:10.3389/fmedt.2022.1065506 · Cited by 35 · see citing works
New Horizons in Hyperpolarized 13C MRI
Chaumeil, M. M., Bankson, J. A., Brindle, K. M., Epstein, S., Gallagher, F. A., Grashei, M., Guglielmetti, C., Kaggie, J. D., Keshari, K. R., Knecht, S., et al. (2023) · Molecular Imaging and Biology · doi:10.1007/s11307-023-01888-5 · Cited by 33 · see citing works
Self-citationMulti-nuclear magnetic resonance spectroscopy: state of the art and future directions
Wei, Y., Yang, C., Jiang, H., Li, Q., Che, F., Wan, S., Yao, S., Gao, F., Zhang, T., Wang, J., et al. (2022) · Insights into Imaging · doi:10.1186/s13244-022-01262-z · Cited by 33 · see citing works
Clinical Cardiovascular Applications of Hyperpolarized Magnetic Resonance
Lewis, A., Tyler, D. J., & Rider, O. J. (2020) · Cardiovascular Drugs and Therapy · doi:10.1007/s10557-020-06942-w · Cited by 29 · see citing works
PFKFB3-mediated Pro-glycolytic Shift in Hepatocellular Carcinoma Proliferation
Dou, Q., Grant, A. K., Callahan, C. J., de Souza, P. C., Mwin, D., Booth, A. L., Nasser, I. A., Moussa, M., Ahmed, M., & Tsai, L. L. (2022) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2022.09.009 · Cited by 28 · see citing works
Personalized Medicine for Prostate Cancer: Is Targeting Metabolism a Reality?
Fidelito, G., Watt, M. J., & Taylor, R. A. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2021.778761 · Cited by 27 · see citing works
Lapa, P., Castelli, M., Gonçalves, I., Sala, E., & Rundo, L. (2020) · Applied Sciences · doi:10.3390/app10010338 · Cited by 26 · see citing works
The Environmental Impact of Medical Imaging Agents and the Roadmap to Sustainable Medical Imaging
Pichler, V., Martinho, R. P., Temming, L., Segers, T., Wurm, F. R., & Koshkina, O. (2025) · Advanced Science · doi:10.1002/advs.202404411 · Cited by 25 · see citing works
Hyperpolarized Metabolic MRI—Acquisition, Reconstruction, and Analysis Methods
Larson, P. E. Z., & Gordon, J. W. (2021) · Metabolites · doi:10.3390/metabo11060386 · Cited by 25 · see citing works
Eskandari, R., Kim, N., Mamakhanyan, A., Saoi, M., Zhang, G., Berishaj, M., Granlund, K. L., Poot, A. J., Cross, J. R., Thompson, C. B., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2120595119 · Cited by 25 · see citing works
Self-citationFederated Learning from Small DatasetsPreprint
Kamp, M., Fischer, J., & Vreeken, J. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2110.03469 · Cited by 25 · see citing works
Consensus recommendations for hyperpolarized [1‐ 13 C ]pyruvate MRI multi‐center human studies
Punwani, S., Larson, P. E. Z., Laustsen, C., van der Meulen, J., Ardenkjær‐Larsen, J. H., Autry, A. W., Bankson, J. A., Bernard, J. M. L., Bok, R., Bertelsen, L. B., et al. (2025) · Magnetic Resonance in Medicine · doi:10.1002/mrm.30570 · Cited by 24 · see citing works
Self-citationPredicting response to radiotherapy of intracranial metastases with hyperpolarized $$^{13}$$C MRI
Lee, C. Y., Soliman, H., Bragagnolo, N. D., Sahgal, A., Geraghty, B. J., Chen, A. P., Endre, R., Perks, W. J., Detsky, J. S., Leung, E., et al. (2021) · Journal of Neuro-Oncology · doi:10.1007/s11060-021-03725-7 · Cited by 24 · see citing works
Self-citationEmerging MR methods for improved diagnosis of prostate cancer by multiparametric MRI
Dwivedi, D. K., & Jagannathan, N. R. (2022) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-022-01031-5 · Cited by 24 · see citing works
Bøgh, N., Gordon, J. W., Hansen, E. S. S., Bok, R., Blicher, J. U., Hu, J. Y., Larson, P. E. Z., Vigneron, D. B., & Laustsen, C. (2022) · Tomography · doi:10.3390/tomography8020048 · Cited by 21 · see citing works
Deh, K., Zhang, G., Park, A. H., Cunningham, C. H., Bragagnolo, N. D., Lyashchenko, S. K., Ahmmed, S., Leftin, A., Coffee, E., Hricak, H., et al. (2024) · Magnetic Resonance in Medicine · doi:10.1002/mrm.30002 · Cited by 21 · see citing works
Self-citationFala, M., Somai, V., Dannhorn, A., Hamm, G. R., Gibson, K., Couturier, D., Hesketh, R. L., Wright, A. J., Takáts, Z., Bunch, J., et al. (2021) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28652 · Cited by 19 · see citing works
Mishkovsky, M., Gusyatiner, O., Lanz, B., Cudalbu, C., Vassallo, I., Hamou, M., Bloch, J., Comment, A., Rolf Gruetter, A., & Hegi, M. E. (2021) · Scientific Reports · doi:10.1038/s41598-021-85339-7 · Cited by 18 · see citing works
Quo Vadis Hyperpolarized 13C MRI?
Wodtke, P., Grashei, M., & Schilling, F. (2023) · Zeitschrift für Medizinische Physik · doi:10.1016/j.zemedi.2023.10.004 · Cited by 17 · see citing works
Lactate signaling and immune suppression in tumors: mechanisms and therapeutic implications
Wang, X., Xiong, D., Cui, S., Duan, B., Ding, G., Huang, Y., & Wang, Q. (2026) · Cellular Oncology · doi:10.1007/s13402-026-01186-6 · Cited by 16 · see citing works
PDGF-BB accelerates TSCC via fibroblast lactates limiting miR-26a-5p and boosting mitophagy
Xu, J., Bian, L., You, D., Li, Z., Wang, T., Li, Y., Ren, X., & He, Y. (2024) · Cancer Cell International · doi:10.1186/s12935-023-03172-6 · Cited by 16 · see citing works
Metabolic imaging across scales reveals distinct prostate cancer phenotypes
Sushentsev, N., Hamm, G. R., Flint, L., Birtles, D., Zakirov, A., Richings, J., Ling, S., Tan, J. Y., McLean, M. A., Ayyappan, V., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-50362-5 · Cited by 16 · see citing works
Integrative metabolic flux analysis reveals an indispensable dimension of phenotypes
Law, R. C., Lakhani, A., O’Keeffe, S., Erşan, S., & Park, J. O. (2022) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2022.102701 · Cited by 16 · see citing works
Prostate cancer stem cell dynamics in the evolution of drug resistance
Zhang, X., Zhang, X., Deng, X., Cao, J., Bao, Q., Wang, H., Chen, D., & Tang, H. (2025) · International Journal of Surgery · doi:10.1097/js9.0000000000002611 · Cited by 15 · see citing works
Salzillo, T. C., Mawoneke, V., Weygand, J., Shetty, A., Gumin, J., Zacharias, N. M., Gammon, S. T., Piwnica-Worms, D. R., Fuller, G. N., Logothetis, C. J., et al. (2021) · Cells · doi:10.3390/cells10102621 · Cited by 15 · see citing works
Hyperpolarized Carbon-13 MRI in Breast Cancer
Woitek, R., & Brindle, K. M. (2023) · Diagnostics · doi:10.3390/diagnostics13132311 · Cited by 14 · see citing works
Rayhan, M. A., Hossen, M. S., Niloy, M. S., Bhuiyan, M. H., Paul, S., & Shakil, M. S. (2021) · Symmetry · doi:10.3390/sym13060974 · Cited by 14 · see citing works
Guglielmetti, C., Cordano, C., Najac, C., Green, A., & Chaumeil, M. M. (2023) · Communications Medicine · doi:10.1038/s43856-023-00300-1 · Cited by 13 · see citing works
Sushentsev, N., Hamm, G. R., Richings, J., McLean, M. A., Menih, I. H., Ayyappan, V., Mills, I. G., Warren, A. Y., Gnanapragasam, V. J., Barry, S. T., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2312261120 · Cited by 13 · see citing works
Lee, P. M., Chen, H., Gordon, J. W., Zhu, Z., Larson, P. E. Z., Dwork, N., Criekinge, M. V., Carvajal, L. E., Ohliger, M. A., Wang, Z. J., et al. (2021) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28901 · Cited by 13 · see citing works
Retter, A., Gong, F., Syer, T., Singh, S., Adeleke, S. M., & Punwani, S. (2021) · Molecular Oncology · doi:10.1002/1878-0261.13071 · Cited by 13 · see citing works
Kinetic analysis of multi‐resolution hyperpolarized 13C human brain MRI to study cerebral metabolism
Hu, J. Y., Kim, Y., Autry, A. W., Frost, M., Bok, R., Villanueva-Meyer, J. E., Xu, D., Li, Y., Larson, P. E. Z., Vigneron, D. B., et al. (2022) · Magnetic Resonance in Medicine · doi:10.1002/mrm.29354 · Cited by 12 · see citing works
Dou, Q., Grant, A. K., de Souza, P. C., Moussa, M., Nasser, I. A., Ahmed, M., & Tsai, L. L. (2024) · Radiology Imaging Cancer · doi:10.1148/rycan.230056 · Cited by 11 · see citing works
Lai, Y., Hsieh, C., Juan, Y., Lu, K., Lee, H.-J., Ng, S., Wan, Y., & Lin, G. (2024) · Korean Journal of Radiology · doi:10.3348/kjr.2024.0069 · Cited by 11 · see citing works
Hyperpolarized Dihydroxyacetone Is a Sensitive Probe of Hepatic Gluconeogenic State
Ragavan, M., McLeod, M., Giacalone, A., & Merritt, M. E. (2021) · Metabolites · doi:10.3390/metabo11070441 · Cited by 11 · see citing works
Advances in application of novel magnetic resonance imaging technologies in liver disease diagnosis
Qi, Y., & Xiao, E. (2023) · World Journal of Gastroenterology · doi:10.3748/wjg.v29.i28.4384 · Cited by 11 · see citing works
Hyperpolarised 13C-MRI using 13C-pyruvate in breast cancer: A review
Arponen, O., Wodtke, P., Gallagher, F. A., & Woitek, R. (2023) · European Journal of Radiology · doi:10.1016/j.ejrad.2023.111058 · Cited by 11 · see citing works
Hyperpolarized [2–13C]pyruvate MR molecular imaging with whole brain coverage
Chung, B. T., Kim, Y., Gordon, J. W., Chen, H., Autry, A. W., Lee, P. M., Hu, J. Y., Tan, C. T., Suszczynski, C., Chang, S. M., et al. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120350 · Cited by 11 · see citing works
Qiao, K., Page, L. M. L., & Chaumeil, M. M. (2021) · Metabolites · doi:10.3390/metabo11070410 · Cited by 11 · see citing works
Key considerations for a prostate cancer mRNA vaccine
Lin, G., Elkashif, A., Saha, C., Coulter, J. A., Dunne, N., & McCarthy, H. O. (2025) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2025.104643 · Cited by 10 · see citing works
Yu, W., Zhang, T., Wang, B., Pan, J. G., Jin, S., Fang, B., Gu, W., Qin, X., Dai, B., Lin, G., et al. (2023) · Molecular Oncology · doi:10.1002/1878-0261.13511 · Cited by 9 · see citing works
Chen, H., Bok, R., Cooperberg, M. R., Nguyen, H. G., Shinohara, K., Westphalen, A. C., Wang, Z. J., Ohliger, M. A., Gebrezgiabhier, D., Carvajal, L. E., et al. (2022) · Magnetic Resonance in Medicine · doi:10.1002/mrm.29399 · Cited by 9 · see citing works
Combined 23Na and 13C imaging at 3.0 Tesla using a single‐tuned large FOV birdcage coil
Kaggie, J. D., Lanz, T. E., McLean, M. A., Riemer, F., Schulte, R. F., Benjamin, A. J. V., Kessler, D. A., Sun, C. J., Gilbert, F. J., Graves, M. J., et al. (2021) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28772 · Cited by 9 · see citing works
Miyahira, A. K., Zarif, J. C., Coombs, C. C., Flavell, R. R., Russo, J. W., Zaidi, S., Zhao, D., Zhao, S. G., Pienta, K. J., & Soule, H. R. (2021) · The Prostate · doi:10.1002/pros.24262 · Cited by 8 · see citing works
Metabolomic profiles of intact tissues reflect clinically relevant prostate cancer subtypes
Dudka, I., Lundquist, K., Wikström, P., Bergh, A. R. J., & Gröbner, G. (2023) · Journal of Translational Medicine · doi:10.1186/s12967-023-04747-7 · Cited by 8 · see citing works
Metabolic Profiling to Assess Response to Targeted and Immune Therapy in Melanoma
Farah, C., Mignion, L., & Jordan, B. F. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25031725 · Cited by 8 · see citing works
Dual hyperpolarized [1-13C]pyruvate and [13C]urea magnetic resonance imaging of prostate cancer
de Kouchkovsky, I., Nguyen, H. G., Chen, H., Liu, X., Qin, H., Stohr, B. A., Santos, R. D., Ohliger, M. A., Wang, Z. J., Bok, R., et al. (2024) · Journal of Magnetic Resonance Open · doi:10.1016/j.jmro.2024.100165 · Cited by 8 · see citing works
The potential of hyperpolarised 13C-MRI to target glycolytic tumour core in prostate cancer
Sushentsev, N., McLean, M. A., Warren, A. Y., Brodie, C. R., Jones, J. L., Gallagher, F. A., & Barrett, T. (2022) · European Radiology · doi:10.1007/s00330-022-08929-7 · Cited by 7 · see citing works
Functional Genetic Screening Enables Theranostic Molecular Imaging in Cancer
Perkons, N. R., Johnson, O., Pilla, G., Profka, E., Mercadante, M., Ackerman, D., & Gade, T. P. F. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-20-0826 · Cited by 7 · see citing works
Cardiac pH-Imaging With Hyperpolarized MRI
Bøgh, N., Hansen, E. S. S., Mariager, C. Ø., Bertelsen, L. B., Ringgaard, S., & Laustsen, C. (2020) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2020.603674 · Cited by 7 · see citing works
Metabolic traits ruling the specificity of the immune response in different cancer types
Flerin, N. C., Cappellesso, F., Pretto, S., & Mazzone, M. (2020) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2020.10.011 · Cited by 7 · see citing works
Williams, C., Daneshvar, M., & Pinto, P. A. (2021) · Current Opinion in Oncology · doi:10.1097/cco.0000000000000717 · Cited by 7 · see citing works
Park, S., Hashizume, R., Kim, S. K., & Park, I. (2021) · Metabolites · doi:10.3390/metabo11080504 · Cited by 7 · see citing works
Hyperpolarized 13C tracers: Technical advancements and perspectives for clinical applications
Fiedorowicz, M., Wieteska, M., Rylewicz, K., Kossowski, B., Piątkowska-Janko, E., Czarnecka, A. M., Toczyłowska, B., & Bogorodzki, P. (2021) · Journal of Applied Biomedicine · doi:10.1016/j.bbe.2021.03.010 · Cited by 7 · see citing works
Pardella, E., Comito, G., Ippolito, L., Pranzini, E., Iozzo, M., Gangarossa, G., Virgilio, F. D., Bua, S., Nocentini, A., Sandrini, G., et al. (2025) · Molecular Oncology · doi:10.1002/1878-0261.70083 · Cited by 6 · see citing works
Sheng, W., Li, Y., Tan, T., Yu, X., Huang, X., Li, L., Zhang, C., Chen, Y., Liu, L., Feng, M., et al. (2025) · Cancer Cell International · doi:10.1186/s12935-025-03927-3 · Cited by 6 · see citing works
Mutual-information based optimal experimental design for hyperpolarized $$^{13}$$C-pyruvate MRI
Jha, P. K., Walker, C. J., Mitchell, D., Oden, J. T., Schellingerhout, D., Bankson, J. A., & Fuentes, D. (2023) · Scientific Reports · doi:10.1038/s41598-023-44958-y · Cited by 5 · see citing works
A reproducible dynamic phantom for sequence testing in hyperpolarised 13C-magnetic resonance
Chowdhury, R., Papoutsaki, M., Müller, C. A., Smith, L. A., Gong, F., Bullock, M., Rogers, H. J., Mathew, M., Syer, T., Singh, S., et al. (2022) · British Journal of Radiology · doi:10.1259/bjr.20210770 · Cited by 5 · see citing works
Micro-Slab Coil Design for Hyperpolarized Metabolic Flux Analysis in Multiple Samples
Lee, G., Ruan, T., Wong, C., Deh, K., Abolarin, A., Correa, A., Keshari, K. R., & Jeong, S. (2022) · Bioengineering · doi:10.3390/bioengineering10010014 · Cited by 5 · see citing works
Self-citationDynamic volumetric hyperpolarized 13C imaging with multi‐echo EPI
Deh, K., Granlund, K. L., Eskandari, R., Kim, N., Mamakhanyan, A., & Keshari, K. R. (2020) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28466 · Cited by 5 · see citing works
Self-citationMoving from conventional to adaptive risk stratification for oropharyngeal cancer
Sandulache, V. C., Kirby, R. P., & Lai, S. Y. (2024) · Frontiers in Oncology · doi:10.3389/fonc.2024.1287010 · Cited by 4 · see citing works
Chen, H., de Kouchkovsky, I., Bok, R., Ohliger, M. A., Wang, Z. J., Gebrezgiabhier, D., Nickles, T. M., Carvajal, L. E., Gordon, J. W., Larson, P. E. Z., et al. (2025) · Cancers · doi:10.3390/cancers17132211 · Cited by 4 · see citing works
Liu, X., Lai, Y., Cui, D., Kung, S., Park, M., Laszik, Z. G., Larson, P. E. Z., & Wang, Z. J. (2024) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.29580 · Cited by 4 · see citing works
- Authors
- Granlund, K. L., Tee, S.-S., Vargas, H. A., Lyashchenko, S. K., Reznik, E., Fine, S., Laudone, V., Eastham, J. A., Touijer, K. A., Reuter, V. E., Gonen, M., Sosa, R. E., Nicholson, D., Guo, Y. W., Chen, A. P., Tropp, J., Robb, F., Hricak, H., & Keshari, K. R.
- Affiliations
- Memorial Sloan Kettering Cancer Center (US)
- Corresponding author
- Keshari, Kayvan R.
- ORCID
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 31
- Issue
- 1
- Pages
- 105-114.e3
- ISSN
- 1550-4131 (ISSN-L)
- PMC
- PMC6949382
- OpenAlex
- W2975630107
- Cited by
- 138
- References
- 57
- Citations by year
- 2026: 11 · 2025: 12 · 2024: 21 · 2023: 25 · 2022: 19 · 2021: 32 · 2020: 18
- FWCI
- 5.46
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Physical Sciences › Chemistry › Spectroscopy › Advanced NMR Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- hyperpolarized MRI, prostate cancer, pyruvate metabolism, lactate, MCT1, Gleason grade, tumor metabolic imaging, PTEN loss, actionable mutations, tumor grade
- MeSH terms
- RNA-Seq, Monocarboxylate Transport Protein 1, Aged, Carbon Isotopes, Humans, Kinetics, Magnetic Resonance Imaging, Male, Middle Aged, Prostatic Neoplasms, Reproducibility of Results, Pyruvic Acid, Lactic Acid, Monocarboxylic Acid Transporters, Symporters, PTEN Phosphohydrolase, Neoplasm Grading
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review