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Fructose-1,6-bisphosphatase opposes renal carcinoma progression
Open accessAbstract
Clear cell renal cell carcinoma (ccRCC), the most common form of kidney cancer, is characterized by elevated glycogen levels and fat deposition. These consistent metabolic alterations are associated with normoxic stabilization of hypoxia-inducible factors (HIFs) secondary to von Hippel-Lindau (VHL) mutations that occur in over 90% of ccRCC tumours. However, kidney-specific VHL deletion in mice fails to elicit ccRCC-specific metabolic phenotypes and tumour formation, suggesting that additional mechanisms are essential. Recent large-scale sequencing analyses revealed the loss of several chromatin remodelling enzymes in a subset of ccRCC (these included polybromo-1, SET domain containing 2 and BRCA1-associated protein-1, among others), indicating that epigenetic perturbations are probably important contributors to the natural history of this disease. Here we used an integrative approach comprising pan-metabolomic profiling and metabolic gene set analysis and determined that the gluconeogenic enzyme fructose-1,6-bisphosphatase 1 (FBP1) is uniformly depleted in over six hundred ccRCC tumours examined. Notably, the human FBP1 locus resides on chromosome 9q22, the loss of which is associated with poor prognosis for ccRCC patients. Our data further indicate that FBP1 inhibits ccRCC progression through two distinct mechanisms. First, FBP1 antagonizes glycolytic flux in renal tubular epithelial cells, the presumptive ccRCC cell of origin, thereby inhibiting a potential Warburg effect. Second, in pVHL (the protein encoded by the VHL gene)-deficient ccRCC cells, FBP1 restrains cell proliferation, glycolysis and the pentose phosphate pathway in a catalytic-activity-independent manner, by inhibiting nuclear HIF function via direct interaction with the HIF inhibitory domain. This unique dual function of the FBP1 protein explains its ubiquitous loss in ccRCC, distinguishing FBP1 from previously identified tumour suppressors that are not consistently mutated in all tumours.
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“Hypoxia can provide energy to tumor cells by activating transcriptional programs that induce glucose uptake and glycolysis.”
From Hypoxia signaling in cancer: Implications for therapeutic interventions (2023) · cites this paper as [47]
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Cites
Understanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation
Vander Heiden, M. G., Cantley, L. C., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1160809 · Cited by 16,197
Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing
Gerlinger, M., Rowan, A. J., Horswell, S., Larkin, J., Endesfelder, D., Gronroos, E., Martinez, P., Matthews, N., Stewart, A., Tarpey, P., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1113205 · Cited by 7,774
Comprehensive molecular characterization of clear cell renal cell carcinoma
The Cancer Genome Atlas Research Network (2013) · Nature · doi:10.1038/nature12222 · Cited by 3,485
Hypoxia-inducible factors and the response to hypoxic stress
Majmundar, A. J., Wong, W. J., & Simon, M. C. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.09.022 · Cited by 2,380
Self-citationReductive glutamine metabolism by IDH1 mediates lipogenesis under hypoxia
Metallo, C. M., Gameiro, P. A., Bell, E. L., Mattaini, K. R., Yang, J., Hiller, K., Jewell, C. M., Johnson, Z. R., Irvine, D. J., Guarente, L., et al. (2012) · Nature · doi:10.1038/nature10602 · Cited by 1,791
HIF1α and HIF2α: sibling rivalry in hypoxic tumour growth and progression
Keith, B., Johnson, R. S., & Simon, M. C. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3183 · Cited by 1,693
Self-citationFunctional genomics reveal that the serine synthesis pathway is essential in breast cancer
Possemato, R., Marks, K. M., Shaul, Y. D., Pacold, M. E., Kim, D., Birsoy, K., Sethumadhavan, S., Woo, H.-K., Jang, H. G., Jha, A. K., et al. (2011) · Nature · doi:10.1038/nature10350 · Cited by 1,683
Rini, B. I., Campbell, S. C., & Escudier, B. J. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60229-4 · Cited by 1,634
Cohen, H. T., & McGovern, F. J. (2005) · New England Journal of Medicine · doi:10.1056/nejmra043172 · Cited by 1,591
Exome sequencing identifies frequent mutation of the SWI/SNF complex gene PBRM1 in renal carcinoma
Varela, I., Tarpey, P. S., Raine, K. M., Huang, D., Ong, C. K., Stephens, P., Davies, H. R., Jones, D., Lin, M., Teague, J. W., et al. (2011) · Nature · doi:10.1038/nature09639 · Cited by 1,302
Flagged first, then by citations
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Items 401–500 of 550
Hsieh, J. J.-D., & Cheng, E. H. Y. (2016) · Translational Andrology and Urology · doi:10.21037/tau.2016.11.03 · Cited by 8
Duda, P., Budziak, B., & Rakus, D. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22094800 · Cited by 7
High expression of FBP1 and LDHB in fibroadenomas and invasive breast cancers
Yustisia, I., Amriani, R., Cangara, H. M., Syahrijuita, S., Zainuddin, A. A., & Natsir, R. (2021) · Breast Disease · doi:10.3233/bd-201035 · Cited by 7
Nejati, R., Wei, S., Uzzo, R. G., Poureghbali, S., Pei, J., Talarchek, J. N., Ruth, K. J., Dulaimi, E., Kutikov, A., Testa, J. R., et al. (2019) · Clinical Genitourinary Cancer · doi:10.1016/j.clgc.2019.09.016 · Cited by 7
Gender-Specific Metabolomics Approach to Kidney Cancer
Deja, S., Litarski, A., Mielko, K. A., Pudełko‐Malik, N., Wojtowicz, W., Ząbek, A., Szydełko, T., & Młynarz, P. (2021) · Metabolites · doi:10.3390/metabo11110767 · Cited by 7
Aldolase B attenuates clear cell renal cell carcinoma progression by inhibiting CtBP2
Tan, M., Pan, Q., Wu, Q., Li, J., & Wang, J. (2023) · Frontiers of Medicine · doi:10.1007/s11684-022-0947-9 · Cited by 7
Ras-dependent activation of BMAL2 regulates hypoxic metabolism in pancreatic cancerPreprint
Curiel-Garcia, A., Holmstrom, S. R., Castillo, C., Palermo, C. F., Sastra, S. A., Andren, A. C., Tomassoni, L., Zhang, L., Large, T. Y. S. L., Sagalovskiy, I. R., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.19.533333 · Cited by 7
An overview of multiomics: a powerful tool applied in cancer molecular subtyping for cancer therapy
Zou, Y., Zhao, Z., & Song, Y. (2023) · Malignancy Spectrum · doi:10.1002/msp2.16 · Cited by 6
Hajka, D., Budziak, B., Rakus, D., & Gizak, A. (2024) · Scientific Reports · doi:10.1038/s41598-024-71560-7 · Cited by 6
Intracellular checkpoints for NK cell cancer immunotherapy
Huang, Y., Tian, Z., & Bi, J. (2024) · Frontiers of Medicine · doi:10.1007/s11684-024-1090-6 · Cited by 6
Mora, A., Schmidt, C., Balderson, B., Frezza, C., & Mikael Bodén, A. (2024) · Genome Medicine · doi:10.1186/s13073-024-01415-3 · Cited by 6
Toguchi, M., Ishigami, K., Goya, M., Saito, S., Murayama, S., & Nishie, A. (2022) · Cancer Diagnosis & Prognosis · doi:10.21873/cdp.10097 · Cited by 6
Bai, Z., Yan, C., Nie, Y., Zeng, Q., Xu, L., Wang, S., & Chang, D. (2023) · The Journal of Gene Medicine · doi:10.1002/jgm.3620 · Cited by 6
Inhibition of succinate dehydrogenase sensitizes cyclin E ‐driven ovarian cancer to CDK inhibition
Guo, T., Gu, C., Chen, X., Kang, Y., Li, B., & Xu, C. (2016) · BioFactors · doi:10.1002/biof.1257 · Cited by 6
Self-citationYang, L., Luo, G., Zhu, S., Wang, X., Chen, Y., Dong, Z., Wang, S., Ma, J., Deng, H., Wu, D., et al. (2020) · Clinical Proteomics · doi:10.1186/s12014-020-9270-0 · Cited by 6
Hajka, D., Duda, P., Wójcicka, O., Drulis‐Fajdasz, D., Rakus, D., & Gizak, A. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21186903 · Cited by 6
Coronin 3 negatively regulates G6PC3 in HepG2 cells, as identified by label-free mass-spectrometry
Gao, Y., Li, L., Xing, X., Lin, M., Zeng, Y., Liu, X., & Liu, J. (2017) · Molecular Medicine Reports · doi:10.3892/mmr.2017.7002 · Cited by 6
The Tale of Two Hypoxia-Inducible Factors in Renal Cell Carcinoma
Nanus, D. M., & Gudas, L. J. (2015) · European Urology · doi:10.1016/j.eururo.2015.09.020 · Cited by 6
Yu, Z., Li, R., Xu, Q., Chen, L., Gao, J., Yuan, Z., Zhao, R., Liang, W., Cao, B., Zhao, X., et al. (2025) · Cell Death and Disease · doi:10.1038/s41419-025-07997-z · Cited by 6
FBP1 over-expression suppresses HIF-1α in papillary thyroid cancer
Li, H., Xie, W., Huang, X., & Chen, Y. (2024) · Scientific Reports · doi:10.1038/s41598-024-81017-6 · Cited by 5
Zhu, Y., He, X., Ma, X., Zhang, Y., & Feng, W. (2025) · Oncogenesis · doi:10.1038/s41389-025-00555-4 · Cited by 5
Conrad, R. J., Mondo, J. A., Wang, L., Liu, P. S., Lai, Z., Choudhury, F. K., Li, Q., Wong, W. R., Lee, J., Shanahan, F., et al. (2025) · EMBO Reports · doi:10.1038/s44319-025-00463-z · Cited by 5
Liu, J., Shi, Z., Li, Y., Ma, J., Yao, J., Yuan, Z., Wang, Y., Yang, C., Li, X., Xing, N., et al. (2025) · EBioMedicine · doi:10.1016/j.ebiom.2025.105801 · Cited by 5
Metabolomics‐based classification reveals subtypes of hepatocellular carcinoma
Hou, G., Ding, D., Tao, T., Dong, W., Sun, D., Liu, G., Yang, Y., & Zhou, W. (2022) · Molecular Carcinogenesis · doi:10.1002/mc.23455 · Cited by 5
Shi, Y., Li, K., Yuan, Y., Wang, C., Yang, Z., Zuo, D., Niu, Y., Qiu, J., Li, B., Yuan, Y., et al. (2024) · Cancer Cell International · doi:10.1186/s12935-024-03307-3 · Cited by 5
Self-citationFructose-1,6-bisphosphate couples glycolytic activity to cell adhesion
Hoffmann, L., Duchmann, M., Lazarow, K., Huang, Y.-H., Lukas, F., Lo, W., Feil, R., Schmied, C., Lehmann, M., Lunn, J. E., et al. (2026) · Nature Cell Biology · doi:10.1038/s41556-026-01911-1 · Cited by 4
Tang, Q., Yu, R., Wang, Y., Xie, F., Zhang, H., Wu, C., & Fang, M. (2023) · BMC Genomics · doi:10.1186/s12864-023-09457-4 · Cited by 4
Shi, R., Tao, J., Jiang, X., Li, M., Zhu, R., Luo, S., & Lu, Z. (2023) · PubMed Central · Cited by 4
Metabolic signature of renal cell carcinoma tumours and its correlation with the urinary metabolome
Amaro, F., Carvalho, M. C., Carvalho‐Maia, C., Jerónimo, C., Henrique, R., Bastos, M. D. L., de Pinho, P. G., & Pinto, J. (2025) · Metabolomics · doi:10.1007/s11306-024-02212-0 · Cited by 4
Liang, X., Liu, X., Li, W., Zhang, L., Zhang, B., Lai, G., & Zhao, Y. (2023) · Archives of Biochemistry and Biophysics · doi:10.1016/j.abb.2023.109619 · Cited by 4
Ren, K., Ling, X., Lin, C., Li, Z., & Huang, T. (2024) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.18346 · Cited by 4
LncRNAs in hypoxic microenvironment; insight in their impact in cancer biology
Kuriakose, B. B., Hjazi, A., Saleh, R. O., Bishoyi, A. K., Jyothi, S. R., Almalki, S. G., Sridevi, G., Chaudhary, K., Zwamel, A. H., & Matchonov, O. (2025) · Functional & Integrative Genomics · doi:10.1007/s10142-025-01635-9 · Cited by 3
MRPL12 K163 acetylation inhibits ccRCC via driving mitochondrial metabolic reprogramming
Ji, X., Xue, F., Wang, Y., Gao, D., Sun, J., Dong, T., Mu, Q., Xu, Q., Sun, S., Liu, Y., et al. (2025) · Cell Death and Disease · doi:10.1038/s41419-025-07896-3 · Cited by 3
Zhang, D., Zhang, K., Deng, M., Ma, J., Zhu, J., Shen, S., Xie, J., & Chen, C. (2025) · Human Mutation · doi:10.1155/humu/4647115 · Cited by 3
Lu, W., Huang, G., Yu, Y., Zhai, X., & Zhou, X. (2025) · PeerJ · doi:10.7717/peerj.18926 · Cited by 3
On the Relevance of Soft Tissue Sarcomas Metabolic Landscape Mapping
Esperança‐Martins, M., Duarte, I. F., Rodrigues, M., do Brito, J. S., Lopéz‐Presa, D., Costa, L., Fernandes, I., & Dias, S. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms231911430 · Cited by 3
Metabolic phosphatase moonlights for proteins
Gerber, S. A., & Kettenbach, A. N. (2022) · Nature Cell Biology · doi:10.1038/s41556-022-00993-x · Cited by 3
A primer on metabolic contributions in tumor angiogenic microenvironment
Ocaña, M. C., Bernal, M., Quesada, A. R., & Medina, M. Á. (2025) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2025.189417 · Cited by 4
Tumour sampling conditions perturb the metabolic landscape of clear cell renal cell carcinoma
Yong, C., Schmidt, C., Yang, M. H., von Kriegsheim, A., Warren, A. Y., Anand, S., Armitage, J. N., Riddick, A. C. P., Mitchell, T. J., Patil, V., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-65676-1 · Cited by 2
Association of fructose-1,6-diphosphatase 1 with the progression of diabetic kidney disease
Fu, Z., Chen, Z., Bian, S., Li, L., Geng, S., Dong, J., Liu, S., Wu, L., Zhu, J., Guo, H., et al. (2025) · Nutrition & Metabolism · doi:10.1186/s12986-025-01038-4 · Cited by 2
Huang, Y., Zhang, W., Xu, W., Du, L., Zhang, X., Wang, W., Shi, G., & Wang, J. (2026) · Journal of the Renin-Angiotensin-Aldosterone System · doi:10.1177/14703203251401461 · Cited by 2
The paradox of nuclear miRNAs: Mechanisms, therapeutic potential, and future directions
Yang, K., Zhang, C., Zhao, Z., Feng, M., Song, L., & Xu, Z. (2026) · Non-coding RNA Research · doi:10.1016/j.ncrna.2026.01.010 · Cited by 2
Ouyang, Q., Wu, G., Chen, A., Zhang, R., Xiao, S., Guo, D., Zhang, Q., Yan, C., Chen, X., Tang, J., et al. (2026) · Biomolecules · doi:10.3390/biom16030456 · Cited by 2
Obesity-driven metabolic reprogramming and immune dysfunction in renal cancer
Ogbonna, H. N., & Norian, L. A. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1866875 · Cited by 2
Pang, L. F., Hou, Y., Wang, X., Du, J., Huang, H., Yang, M., Wang, S., An, C., Meng, T., & Li, H. (2023) · Current Chinese Science · doi:10.2174/0122102981264993230925164537 · Cited by 2
Mondal, A., Bhattacharya, A., Singh, V., Pandita, S., Bacolla, A., PANDITA, R. K., Tainer, J. A., Ramos, K. S., Pandita, T. K., & Das, C. (2021) · Molecular and Cellular Biology · doi:10.1128/mcb.00483-21 · Cited by 2
Wu, H.-Y., Han, L., Ran, T., Sun, Y., Zhang, Q. C., Huang, T., Zou, G.-L., Zhang, Y., Zhou, Y.-M., Lin, G.-Y., et al. (2025) · World Journal of Gastroenterology · doi:10.3748/wjg.v31.i28.107361 · Cited by 2
The role of fibroblast growth factors in cell and cancer metabolism
Price, J., & Francavilla, C. (2025) · FEBS Letters · doi:10.1002/1873-3468.70199 · Cited by 3
Key advances promise progress for kidney cancer patients
Ito, T. K., & Kutikov, A. (2015) · Nature Reviews Urology · doi:10.1038/nrurol.2014.356 · Cited by 2
Zaburzenia metabolizmu i funkcji enzymów metabolicznych a proces nowotworzenia
Sarnowska, E. A., Leszczynski, M., Macech-Klicka, E., Stachowiak, M., & SIEDLECKI, J. A. (2016) · Nowotwory Journal of Oncology · doi:10.5603/njo.2016.0024 · Cited by 3
Uncoupling the Oncogenic Engine
Schambach, A., Schott, J. W., & Morgan, M. A. (2017) · Cancer Research · doi:10.1158/0008-5472.can-17-2362 · Cited by 2
Sun, Q., Uddin, M. N., Li, M., Wang, X., & Lai, M. (2020) · Journal of Oncology · doi:10.1155/2020/2503790 · Cited by 2
Gao, M., Mei, C., Guo, Y., Xia, P., Zhang, H., Liu, Y., Yao, Y., Jiang, X. W., Yuan, Y., & Qian, Y. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.756419 · Cited by 2
Aynadamar: la primera acequia de Madina Garnata
José, M. C. T. S. (2003) · Tst: Transportes, Servicios y telecomunicaciones · Cited by 2
Brown, B. A., & Lazzara, M. J. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.30.542969 · Cited by 2
Schabort, D. T. W. P., Kilian, S. G., & du Preez, J. C. (2017) · PLoS ONE · doi:10.1371/journal.pone.0177319 · Cited by 1
Zhang, K., He, L., Wang, Y., Qin, S., Yu, C., Zheng, E., Zhang, Z., Xu, Y., Chen, X., Liu, Y., et al. (2026) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-026-02622-7 · Cited by 1
Amaro, F., Carvalho, M. C., Bastos, M. D. L., de Pinho, P. G., & Pinto, J. (2026) · Journal of Proteome Research · doi:10.1021/acs.jproteome.6c00079 · Cited by 1
Lin, H., Chen, Y., & Chu, P. (2026) · Biochemical Pharmacology · doi:10.1016/j.bcp.2026.118269 · Cited by 1
Epigenetic Small-Molecule Modulators Targeting Metabolic Pathways in Cancer
Das, D., Karthik, N., & Taneja, R. (2022) · Sub-cellular biochemistry/Subcellular biochemistry · doi:10.1007/978-3-031-07634-3_16 · Cited by 1
Metabolic subtypes of clear cell renal cell carcinoma defined by tobacco smoking
Czyzyk-Krzeska, M., Meller, J., Figueroa, J. A. L., Plas, D. R., & Cunningham, J. T. (2021) · Molecular & Cellular Oncology · doi:10.1080/23723556.2020.1859917 · Cited by 1
Zhang, X., Li, S., He, J., Jin, Y., Zhang, R., Dong, W., Lin, M., Yang, Y., Tian, T., Zhou, Y., et al. (2023) · doi:10.1158/0008-5472.c.6513850.v1 · Cited by 1
A Landscape of Genetic and Cellular Hallmarks in Chronic Kidney DiseasePreprint
Luo, Y., Lin, L., de Araujo, I. B. B. A., Kristensen, A. M., Haskó, J., Madsen, M., Keller, A. K., Olsen, A. L., Zhao, X., Fang, W., et al. (2024) · Research Square · doi:10.21203/rs.3.rs-4681754/v1 · Cited by 1
[Bite marks as evidence in violent incidents, rapes and murders. Report of 2 cases].
Stavrianos, C., & Hourdakis, K. (1989) · PubMed
Clementino, M. (2019) · UKnowledge (University of Kentucky) · doi:10.13023/etd.2019.047
Brooks, S. A. (2015) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/zhvw-d308
Rajyaguru, P. I. (2020) · Resonance · doi:10.1007/s12045-020-1041-8
Role of glutathione in ferroptosis of tumor cells
Yang, F., Tan, N., Zhang, T., & Cheng, T. (2021) · World Chinese Journal of Digestology · doi:10.11569/wcjd.v29.i15.901
Biyik‐Sit, R. (2021) · ThinkIR: The University of Louisville's Institutional Repository (University of Louisville) · doi:10.18297/etd/3588
Xu, Y. Q., Wu, B., Yang, J., ZHANG, S., Liu, L., Suobao, X., & JIANG, J. (2022) · Biocell · doi:10.32604/biocell.2022.017745
Hou, F. F., & Nie, J. (2017) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.727547054.793537167
Seeber, F., & Blume, M. (2018) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.730966584.793551807
Faculty Opinions recommendation of Four key steps control glycolytic flux in mammalian cells.
Kuroda, S., & Ohno, S. (2018) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.733562817.793549184
Faculty Opinions recommendation of Four key steps control glycolytic flux in mammalian cells.
Olson, A. L. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.733562817.793575560
Urinary FBP1 as a novel biomarker for the diagnosis and progression of diabetic nephropathyPreprint
Zhang, M., Wang, J., Liu, Y., Lu, R., Shi, J., Chen, X., & Li, L. (2023) · Research Square · doi:10.21203/rs.3.rs-2438025/v1
Liao, K., Deng, S., Xu, L., Pan, W., Yang, S., Zheng, F., Wu, X., Hu, H., Liu, Z., Luo, J., et al. (2023) · doi:10.1158/0008-5472.c.6511995.v1
Self-citationLiao, K., Deng, S., Xu, L., Pan, W., Yang, S., Zheng, F., Wu, X., Hu, H., Liu, Z., Luo, J., et al. (2023) · doi:10.1158/0008-5472.c.6511995
Self-citationFeatures of aminothiol metabolism and progression of breast cancer
Markovsky, A. V. (2023) · Siberian Journal of Oncology · doi:10.21294/1814-4861-2023-22-4-128-134
Sun, X., He, L., Ayi, B., Qiu, Y., Xu, J., Yu, W., Yan, T., Ding, G., Tang, B., Wang, G., et al. (2023) · Genetica · doi:10.1007/s10709-023-00198-6
Abbott, K. L., Ali, A., Reinfeld, B. I., Deik, A., Subudhi, S., Landis, M. D., Hongo, R. A., Young, K. L., Kunchok, T., Nabel, C. S., et al. (2024) · eLife · doi:10.7554/elife.95652.1
Zhang, W., Liu, Z., Zheng, S., Liu, S., Ren, S., Wang, W., Shao, H., & Qin, B. (2024) · Research Square · doi:10.21203/rs.3.rs-3992959/v1
Feng, C., Li, Y., Li, K., Lyu, Y., Zhu, W., Jiang, H., & Wen, H. (2021) · Figshare · doi:10.6084/m9.figshare.16714134
Feng, C., Li, Y., Li, K., Lyu, Y., Zhu, W., Jiang, H., & Wen, H. (2021) · Figshare · doi:10.6084/m9.figshare.16714140
Feng, C., Li, Y., Li, K., Lyu, Y., Zhu, W., Jiang, H., & Wen, H. (2021) · Figshare · doi:10.6084/m9.figshare.16714131
Feng, C., Li, Y., Li, K., Lyu, Y., Zhu, W., Jiang, H., & Wen, H. (2021) · Figshare · doi:10.6084/m9.figshare.16714137
核因子-κB相关信号在肾透明细胞癌中与预后和药物敏感性的关系
Fu, Y., Xiang, Y., Ceng, M., Qian, L., & Dong, Z. (2024) · Scientia Sinica Vitae · doi:10.1360/ssv-2024-0058
Metabolic enzymes co-opted in oncogenic signalling
Nance, B., Simon, M. C., & Keith, B. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-15719-6.00004-0
Self-citationCoenzyme A homeostasis regulates hypoxic signalling via UBFD1 in triple-negative breast cancerPreprint
Grevitt, P., Maiques, Ó., Shah, K., Morales, V., Gadaleta, E., Dodel, M., Bianchi, K., Gout, I. T., Jones, J. L., Chelala, C., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.18.660436
Liu, Y., He, J., Lyu, D., Yang, X., Zhang, H., Tu, S., Yao, Y., Wei, M., Li, Y., Zhao, Z., et al. (2025) · Frontiers in Oncology · doi:10.3389/fonc.2025.1537805
Revisiting the Warburg effect: moonlighting functions of glycolytic-related enzymes in tumorigenesis
Ji, Y., & Sun, L. (2025) · Scientia Sinica Vitae · doi:10.1360/ssv-2025-0122
Cedric, S. R., Coussement, L., Goovaerts, T., Graeve, F. D., Galle, J., Criekinge, W. V., & Meyer, T. D. (2025) · GigaScience · doi:10.1093/gigascience/giaf125
Wang, P., He, K., Wang, B., Zhou, W. X., Zhang, Y., Ma, T., & Ding, S. (2025) · Advanced Science · doi:10.1002/advs.202511880
Godfrey, J., Riscal, R., Skuli, N., & Simon, M. C. (2022) · Figshare · doi:10.6084/m9.figshare.20375944
Self-citationQianwei, X., Zeng, T., Liu, S., Cheng, H., Ma, L., & Wang, Y. (2021) · Figshare · doi:10.6084/m9.figshare.14396797
Qianwei, X., Zeng, T., Liu, S., Cheng, H., Ma, L., & Wang, Y. (2021) · Figshare · doi:10.6084/m9.figshare.14396791
Shi, Y., Li, K., Yuan, Y., Wang, C., Yang, Z., Zuo, D., Niu, Y., 邱际亮, Li, B., Yuan, Y., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26707802
Self-citationTang, Q., Yu, R., Wang, Y., Xie, F., Zhang, H., Wu, C., & Fang, M. (2024) · Figshare · doi:10.6084/m9.figshare.26598800
Metadata
- Authors
- Li, B., Qiu, B., Lee, D. S. M., Walton, Z. E., Ochocki, J. D., Mathew, L. K., Mancuso, A., Gade, T. P. F., Keith, B., Nissim, I., & Simon, M. C.
- Affiliations
- Abramson Cancer Center (US)
- Howard Hughes Medical Institute (US)
- University of Pennsylvania (US)
- Children's Hospital of Philadelphia (US)
- Corresponding author
- Simon, M. Celeste
- ORCID
- Venue
- Nature
- Published
- 2014-07-20
- Volume
- 513
- Issue
- 7517
- Pages
- 251-255
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4162811
- OpenAlex
- W2069663698
- Cited by
- 535
- References
- 31
- Citations by year
- 2026: 24 · 2025: 38 · 2024: 44 · 2023: 44 · 2022: 48 · 2021: 64 · 2020: 54 · 2019: 42 · 2018: 54 · 2017: 42 · 2016: 40 · 2015: 33 · 2014: 6
- FWCI
- 12.92
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institutes of Health
- National Cancer Institute (F30CA177106, P01CA104838, CA104838, F32CA192758, P30CA016520)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK053761, DK-053761, R56DK053761)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Health Sciences › Medicine › Oncology › Renal cell carcinoma treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Keywords
- FBP1, clear cell renal cell carcinoma, von Hippel-Lindau protein, hypoxia-inducible factor, glycolysis, pentose phosphate pathway, Warburg effect, renal tubular epithelial cells, tumor progression, chromatin remodeling, cancer metabolism, epigenetic regulation, gluconeogenesis
- MeSH terms
- Animals, Carcinoma, Renal Cell, Cell Line, Epithelial Cells, Glycolysis, Fructose-Bisphosphatase, Humans, Kidney Neoplasms, Models, Molecular, NADP, Swine, Protein Structure, Tertiary, Disease Progression, Cell Line, Tumor, Cell Proliferation, Basic Helix-Loop-Helix Proteins
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