The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Lactate dehydrogenase A silencing in IDH mutant gliomas
Open accessAbstract
BACKGROUND: Mutations of the isocitrate dehydrogenase 1 and 2 gene (IDH1/2) were initially thought to enhance cancer cell survival and proliferation by promoting the Warburg effect. However, recent experimental data have shown that production of 2-hydroxyglutarate by IDH mutant cells promotes hypoxia-inducible factor (HIF)1α degradation and, by doing so, may have unexpected metabolic effects. METHODS: We used human glioma tissues and derived brain tumor stem cells (BTSCs) to study the expression of HIF1α target genes in IDH mutant ((mt)) and IDH wild-type ((wt)) tumors. Focusing thereafter on the major glycolytic enzyme, lactate dehydrogenase A (LDHA), we used standard molecular methods and pyrosequencing-based DNA methylation analysis to identify mechanisms by which LDHA expression was regulated in human gliomas. RESULTS: We found that HIF1α-responsive genes, including many essential for glycolysis (SLC2A1, PDK1, LDHA, SLC16A3), were underexpressed in IDH(mt) gliomas and/or derived BTSCs. We then demonstrated that LDHA was silenced in IDH(mt) derived BTSCs, including those that did not retain the mutant IDH1 allele (mIDH(wt)), matched BTSC xenografts, and parental glioma tissues. Silencing of LDHA was associated with increased methylation of the LDHA promoter, as was ectopic expression of mutant IDH1 in immortalized human astrocytes. Furthermore, in a search of The Cancer Genome Atlas, we found low expression and high methylation of LDHA in IDH(mt) glioblastomas. CONCLUSION: To our knowledge, this is the first demonstration of downregulation of LDHA in cancer. Although unexpected findings, silencing of LDHA and downregulation of several other glycolysis essential genes raise the intriguing possibility that IDH(mt) gliomas have limited glycolytic capacity, which may contribute to their slow growth and better prognosis.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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 the citing paper
“It was demonstrated that brown adipocytes possess a unique capacity to sequester extracellular succinate, which serves to increase UCP1 activity as a consequence of elevated mtROS160.”
From Coupling Krebs cycle metabolites to signalling in immunity and cancer (2018) · cites this paper as [160]
In the citing paper
“a portion of the succinate that accumulates during ischemia and inflammation is released from the cell into the extracellular environment through poorly defined processes. This occurs following IR injury158,159, inflammation10, or cold exposure160.”
From Coupling Krebs cycle metabolites to signalling in immunity and cancer (2018) · cites this paper as [160]
Citations
Cites
An Integrated Genomic Analysis of Human Glioblastoma Multiforme
Parsons, D. W., Jones, S., Zhang, X., Lin, J. C.-H., Leary, R. J., Angenendt, P., Mankoo, P., Carter, H., Siu, I.-M., Gallia, G. L., et al. (2008) · Science · doi:10.1126/science.1164382 · Cited by 5,857
IDH1 and IDH2 Mutations in Gliomas
Yan, H., Parsons, D. W., Jin, G., McLendon, R., Rasheed, B. A., Yuan, W., Kos, I., Batinic-Haberle, I., Jones, S., Riggins, G. J., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0808710 · Cited by 5,847
Cancer-associated IDH1 mutations produce 2-hydroxyglutarate
Dang, L., White, D. W., Gross, S., Bennett, B. D., Bittinger, M. A., Driggers, E. M., Fantin, V. R., Jang, H. G., Jin, S., Keenan, M. C., et al. (2009) · Nature · doi:10.1038/nature08617 · Cited by 4,154
Xu, W., Yang, H., Liu, Y., Yang, Y., Wang, P., Kim, S.-H., Ito, S., Yang, C., Wang, P., Xiao, M.-T., et al. (2011) · Cancer Cell · doi:10.1016/j.ccr.2010.12.014 · Cited by 2,875
Tet-Mediated Formation of 5-Carboxylcytosine and Its Excision by TDG in Mammalian DNA
He, Y., Li, B.-Z., Li, Z., Liu, P., Wang, Y., Tang, Q., Ding, J., Jia, Y., Chen, Z., Li, L., et al. (2011) · Science · doi:10.1126/science.1210944 · Cited by 2,776
Figueroa, M. E., Abdel-Wahab, O., Lu, C., Ward, P. S., Patel, J., Shih, A., Li, Y., Bhagwat, N., Vasanthakumar, A., Fernandez, H. F., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2010.11.015 · Cited by 2,766
IDH1 mutation is sufficient to establish the glioma hypermethylator phenotype
Turcan, S., Rohle, D., Goenka, A., Walsh, L. A., Fang, F., Yilmaz, E., Campos, C., Fabius, A. W. M., Lu, C., Ward, P. S., et al. (2012) · Nature · doi:10.1038/nature10866 · Cited by 1,974
Transcriptional regulation of genes encoding glycolytic enzymes by hypoxia-inducible factor 1.
Semenza, G., Roth, P. H., Fang, H. M., & Wang, G. L. (1994) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(17)31580-6 · Cited by 1,892
Fantin, V. R., St-Pierre, J., & Leder, P. (2006) · Cancer Cell · doi:10.1016/j.ccr.2006.04.023 · Cited by 1,635
Inhibition of lactate dehydrogenase A induces oxidative stress and inhibits tumor progression
Le, A., Cooper, C. R., Gouw, A. M., Dinavahi, R., Maitra, A., Deck, L. M., Royer, R. E., Jagt, D. L. V., Semenza, G. L., & Dang, C. V. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0914433107 · Cited by 1,528
Cited by
Sorted by citations
Items 101–200 of 210
Najac, C., & Ronen, S. M. (2016) · Topics in Magnetic Resonance Imaging · doi:10.1097/rmr.0000000000000104 · Cited by 27
Self-citationA Comprehensive Review of miRNAs and Their Epigenetic Effects in Glioblastoma
Hasan, H., Afzal, M., Castresana, J. S., & Shahi, M. H. (2023) · Cells · doi:10.3390/cells12121578 · Cited by 28
Oncometabolite 2-hydroxyglutarate regulates anti-tumor immunity
Cai, M., Zhao, J., Ding, Q., & Wei, J. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e24454 · Cited by 30
Oxidative and Glycolytic Metabolism: Their Reciprocal Regulation and Dysregulation in Cancer
Cordani, M., Rumio, C., Bontempi, G., Strippoli, R., & Marcucci, F. (2025) · Cells · doi:10.3390/cells14151177 · Cited by 28
Subramani, E., Radoul, M., Najac, C., Batsios, G., Molloy, A. R., Hong, D., Gillespie, A. M., Santos, R. D., Viswanath, P., Costello, J., et al. (2020) · Cancer Research · doi:10.1158/0008-5472.can-20-1314 · Cited by 25
Self-citationCancer metabolism in a snapshot: MRS(I)
Julià‐Sapé, M., Candiota, A. P., & Arús, C. (2019) · NMR in Biomedicine · doi:10.1002/nbm.4054 · Cited by 25
Extracellular glutamate and IDH1R132H inhibitor promote glioma growth by boosting redox potential
Tiburcio, P. D. B., Gillespie, D. L., Jensen, R. L., & Huang, E. L. (2020) · Journal of Neuro-Oncology · doi:10.1007/s11060-019-03359-w · Cited by 25
Illuminating the cross-talk between tumor metabolism and immunity in IDH-mutated cancers
Leca, J., Fortin, J., & Mak, T. W. (2020) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2020.11.013 · Cited by 23
Auezova, R., Ivanova, N. E., Akshulakov, S., Жетписбаев, Б. Б., Kozhakhmetova, A., Ryskeldiyev, N., Mustafin, K., Teltayev, D., & Auezova, L. (2019) · Cancer Management and Research · doi:10.2147/cmar.s195754 · Cited by 22
Amino Acid and Glucose Fermentation Maintain ATP Content in Mouse and Human Malignant Glioma Cells
Lee, D. C., Ta, N. L., Mukherjee, P., Duraj, T., Domin, M. A., Greenwood, B. P., Karmacharya, S., Narain, N. R., Kiebish, M. A., Chinopoulos, C., et al. (2024) · ASN NEURO · doi:10.1080/17590914.2024.2422268 · Cited by 21
Genetic and Drug Inhibition of LDH-A: Effects on Murine Gliomas
Maeda, M., Ko, M. K., Mane, M. M., Cohen, I., Shindo, M., Vemuri, K., Serganova, I. S., & Blasberg, R. G. (2022) · Cancers · doi:10.3390/cancers14092306 · Cited by 21
Emerging Approaches for Targeting Metabolic Vulnerabilities in Malignant Glioma
Clark, P. M., Mai, W. X., Cloughesy, T. F., & Nathanson, D. A. (2016) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-015-0613-6 · Cited by 21
Metabolic dysregulation of tricarboxylic acid cycle and oxidative phosphorylation in glioblastoma
Trejo‐Solís, C., Serrano-García, N., Castillo‐Rodríguez, R. A., Robledo‐Cadena, D. X., Jiménez‐Farfán, D., Marín‐Hernández, Á., Silva‐Adaya, D., Rodríguez-Pérez, C. E., & Gallardo‐Pérez, J. C. (2024) · Reviews in the Neurosciences · doi:10.1515/revneuro-2024-0054 · Cited by 20
Wenger, K. J., Steinbach, J. P., Bähr, O., Pilatus, U., & Hattingen, E. (2020) · American Journal of Neuroradiology · doi:10.3174/ajnr.a6633 · Cited by 20
Long non-coding RNA LINK-A promotes glioma cell growth and invasion via lactate dehydrogenase A
Wu, D., Zhao, B., Cao, X., & Wan, J. (2017) · Oncology Reports · doi:10.3892/or.2017.5806 · Cited by 20
Liu, Y., Gilbert, M. R., Kyprianou, N., Rangnekar, V. M., & Horbinski, C. (2014) · Acta Neuropathologica · doi:10.1007/s00401-014-1334-7 · Cited by 20
Imaging biomarkers of TERT or GABPB1 silencing in TERT-positive glioblastoma
Minami, N., Hong, D., Stevers, N. O., Barger, C. J., Radoul, M., Hong, C., Chen, L., Kim, Y., Batsios, G., Gillespie, A. M., et al. (2022) · Neuro-Oncology · doi:10.1093/neuonc/noac112 · Cited by 19
Self-citationDifferent Approaches for the Profiling of Cancer Pathway-Related Genes in Glioblastoma Cells
Majerčíková, Z., Dibdiaková, K., Gala, M., Horváth, D., Murín, R., Žoldák, G., & Hatok, J. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms231810883 · Cited by 19
Dong, W., Liu, Y., Wang, P., Ruan, X., Liu, L., Xue, Y., Ma, T., Tiange, E., Wang, D., Yang, C., et al. (2023) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14218 · Cited by 17
Somlyai, G., Kovács, B. Z., Papp, A., & Somlyai, I. (2023) · Biomedicines · doi:10.3390/biomedicines11071989 · Cited by 17
Wen, H., Cho, H. R., Yun, T., Kim, H., Park, C., Lee, S., Choi, S. H., & Park, S. (2014) · Journal of Neurochemistry · doi:10.1111/jnc.12950 · Cited by 20
Therapeutic targeting of chromatin alterations in leukemia and solid tumors
Perner, F., Berg, T., Sasca, D., Mersiowsky, S., Gadrey, J. Y., Thomas, J. M., Kühn, M. W. M., & Lübbert, M. (2025) · International Journal of Cancer · doi:10.1002/ijc.35389 · Cited by 16
Hoshino, F., & Sakane, F. (2020) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2020.158768 · Cited by 15
Bridging Cancer Biology with the Clinic: Comprehending and Exploiting IDH Gene Mutations in Gliomas
Romanidou, O., Kotoula, V., & Fountzilas, G. (2018) · Cancer Genomics & Proteomics · doi:10.21873/cgp.20101 · Cited by 15
Metabolic Landscape of a Genetically Engineered Mouse Model of IDH1 Mutant Glioma
Ruiz‐Rodado, V., Seki, T., Dowdy, T., Lita, A., Zhang, M., Han, S., Yang, C., Cherukuri, M. K., Gilbert, M. R., & Larion, M. (2020) · Cancers · doi:10.3390/cancers12061633 · Cited by 15
Microbial metabolites in tumor epigenetic regulation
Zhang, W., Zhang, H., Liao, Y., Jiang, S., Zhang, H., Huang, C., Song, Z., Zhao, R., Lü, P., Kang, X., et al. (2026) · iMeta · doi:10.1002/imt2.70115 · Cited by 17
Hammon, K., Renner, K., Althammer, M., Voll, F., Babl, N., Decking, S.-M., Siska, P. J., Matos, C., Cárdenas-Conejo, Z. E., Mendes, K., et al. (2024) · Haematologica · doi:10.3324/haematol.2023.283597 · Cited by 16
A negative feedback loop underlies the Warburg effect
Jaiswal, A., & Singh, R. (2024) · npj Systems Biology and Applications · doi:10.1038/s41540-024-00377-x · Cited by 13
Tiburcio, P. D. B., Xiao, B., Berg, S., Asper, S., Lyne, S. B., Zhang, Y., Zhu, X., Yan, H., & Huang, L. E. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1800-0 · Cited by 12
Rana, R., Joon, S., Chauhan, K., Rathi, V., Ganguly, N. K., Kumari, C., & Yadav, D. K. (2020) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026620666201207100139 · Cited by 13
Metabolism: an important player in glioma survival and development
Wang, N., Yuan, Y., Hu, T., Xu, H., & Piao, H. (2024) · Discover Oncology · doi:10.1007/s12672-024-01402-5 · Cited by 11
Linking epigenetic signature and metabolic phenotype in IDH mutant and IDH wildtype diffuse glioma
Braun, Y., Filipski, K., Bernatz, S., Baumgarten, P., Roller, B., Zinke, J., Zeiner, P. S., Ilina, E. I., Senft, C., Ronellenfitsch, M. W., et al. (2020) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12669 · Cited by 11
Cho, N. S., Hagiwara, A., Eldred, B. S. C., Raymond, C., Wang, C., Sanvito, F., Lai, A., Nghiemphu, P. L., Salamon, N., Steelman, L., et al. (2022) · Neuro-Oncology Advances · doi:10.1093/noajnl/vdac124 · Cited by 11
Nano-Based Technology in Glioblastoma
Bartusik‐Aebisher, D., Rudy, I., Pięta, K., & Aebisher, D. (2025) · Molecules · doi:10.3390/molecules30173485 · Cited by 11
Yao, J., Hagiwara, A., Oughourlian, T. C., Wang, C., Raymond, C., Pope, W. B., Salamon, N., Lai, A., Ji, M., Nghiemphu, P. L., et al. (2022) · Cancers · doi:10.3390/cancers14102520 · Cited by 10
Wang, K., Li, Y., Cheng, H., Li, S., Xiang, W., Ming, Y., Chen, L., & Zhou, J. R. (2021) · BMC Neurology · doi:10.1186/s12883-021-02490-4 · Cited by 10
Peng, S., Chen, H., Chen, L., Yang, G., Liu, J., Cheng, X., & Tang, Y. (2022) · Chemical Research in Toxicology · doi:10.1021/acs.chemrestox.1c00254 · Cited by 10
A patient-derived cell model for malignant transformation in IDH-mutant glioma
Kim, O., Sergi, Z., Yu, G., Yamamoto, K., Quezado, M., Abdullaev, Z., Crooks, D., Kishimoto, S., Li, Q., Lu, P., et al. (2024) · Acta Neuropathologica Communications · doi:10.1186/s40478-024-01860-6 · Cited by 10
Mechanism analysis and targeted therapy of IDH gene mutation in glioma
Ma, X. (2025) · American Journal of Cancer Research · doi:10.62347/nsxc2205 · Cited by 10
Tiburcio, P. D. B., Xiao, B., Chai, Y., Asper, S., Tripp, S. R., Gillespie, D. L., Jensen, R. L., & Huang, E. L. (2018) · Oncotarget · doi:10.18632/oncotarget.26203 · Cited by 9
Tsitlakidis, A., Tsingotjidou, A., Κritis, A., Cheva, A., Selviaridis, P., Aifantis, E. C., & Foroglou, N. (2021) · Cancers · doi:10.3390/cancers13184539 · Cited by 9
Hagiwara, A., Yao, J., Raymond, C., Cho, N. S., Everson, R. G., Patel, K. S., Morrow, D., Desousa, B. R., Mareninov, S., Chun, S., et al. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102882 · Cited by 9
C-13 Hyperpolarized MR Spectroscopy for Metabolic Imaging of Brain Tumors
Viswanath, P., Li, Y., & Ronen, S. M. (2019) · Springer eBooks · doi:10.1007/978-3-030-27359-0_12 · Cited by 8
Self-citationOn an optimal control problem describing lactate production inhibition
Alsayed, H., Fakih, H., Miranville, A., & Wehbe, A. (2021) · Applicable Analysis · doi:10.1080/00036811.2021.1999418 · Cited by 8
Preclinical modeling of lower-grade gliomas
Tang, L. W., Mallela, A. N., Deng, H., Richardson, T. E., Hervey‐Jumper, S. L., McBrayer, S. K., & Abdullah, K. G. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1139383 · Cited by 8
Rosiak, K., Grot, D., & Rieske, P. (2020) · PLoS ONE · doi:10.1371/journal.pone.0239325 · Cited by 6
Tateishi, K., & Yamamoto, T. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.84543 · Cited by 7
Cai, X., Chen, Z., Huang, C., Shen, J., Zeng, W., Feng, S., Liu, Y. S., Li, S., & Chen, M. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.950917 · Cited by 7
Li, S., Wu, J., Lu, R., Zhou, B., Dai, H., Zhang, Z., Yang, X., & Liang, X. (2025) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2025.106839 · Cited by 6
Shindo, M., Maeda, M., Ko, M. K., Mane, M. M., Cohen, I., Vemuri, K., Albeg, A. S., Serganova, I. S., & Blasberg, R. G. (2022) · Cancers · doi:10.3390/cancers14092303 · Cited by 6
Balaya, R. D. A., Kumar, S. T. A., Rai, A. B., Kotimoole, C. N., Modi, P. K., & Prasad, T. S. K. (2021) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2021.0050 · Cited by 4
Klement, R. J., Popp, I., Kaul, D., Ehret, F., Grosu, A., Polat, B., Sweeney, R. A., & Lewitzki, V. (2021) · Journal of Neuro-Oncology · doi:10.1007/s11060-021-03926-0 · Cited by 3
Obukhova, L. M., Nikiforova, О. N., Копытова, Т. В., Orlinskaya, N. Y., Kontorshchikov, М. М., Конторщикова, К. Н., Medyanik, I. A., Grishin, A., & Vasina, D. D. (2021) · Bulletin of Experimental Biology and Medicine · doi:10.1007/s10517-021-05332-y · Cited by 3
Yang, G., Shan, D., Zhao, R., & Li, G. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.902298 · Cited by 4
Orthogonal targeting of KDM6A/B and HDACs mediates potent therapeutic effects in IDH1 -mutant gliomaPreprint
Kayabölen, A., Yilmaz, E., Şahin, G. N., Seker-Polat, F., Cingöz, A., Isik, B., Acar, S., Wakimoto, H., Cahill, D. P., Solaroğlu, İ., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.26.400234 · Cited by 5
Quantitative susceptibility mapping for the comprehensive assessment of adult-type diffuse gliomas
Shen, P., Li, Y., Xu, W., Zhang, Z., Wang, X., Yang, G., Du, J., Zhang, H., & Tan, Y. Q. (2025) · European Journal of Radiology · doi:10.1016/j.ejrad.2025.112595 · Cited by 2
Sharma, S., Gowda, P., Lathoria, K., Mitra, M. K., & Sen, E. (2023) · Integrative Biology · doi:10.1093/intbio/zyad008 · Cited by 2
Guyon, J., Fernández‐Moncada, I., Larrieu, C. M., Bouchez, C. L., Chouleur, T., Espedal, H., Røsland, G. V., Daher, B., Barré, A., Dartigues, B., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-690811/v1 · Cited by 2
Laurenge, A., Pugliese, P., Scuderi, S., Mathon, B., Drouiche, L., Richard, Q., Jouannet, S., Benmohamed, C., Smirnov, K., Sakr, L. H. D., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.23.608811 · Cited by 2
On an Optimal Control Problem Describing Lactate Transport Inhibition
Alsayed, H., Fakih, H., Miranville, A., & Wehbe, A. (2023) · Journal of Optimization Theory and Applications · doi:10.1007/s10957-023-02271-8 · Cited by 1
A bacterial enzyme may correct 2-HG accumulation in human cancers
Yin, W. J. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1235191 · Cited by 1
Nuclear-localized metabolic enzymes: emerging key players in tumor epigenetic regulation
Chen, L., Zhi-hui, W., Yuan, W., Chen, N., Lin, P., Liao, S., & Xie, G. (2025) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-025-05316-w · Cited by 1
Lin, D., Xu, G., He, H., Lin, H., Chen, S., Deng, A., Lv, X., Su, H., & Lv, Y. (2026) · Clinical Radiology · doi:10.1016/j.crad.2026.107265 · Cited by 1
Yu, S., Li, X., Wu, J., Wang, M., Gong, Z., Zhang, B., Shi, H., Wang, X., & Xiang, W. (2026) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.71054 · Cited by 1
Josephine, A., Kumar, S. A., Varalakshmi, S., & Rajendran, P. (2026) · 3 Biotech · doi:10.1007/s13205-026-04753-8 · Cited by 1
Metabolic Landscape and Emerging Therapeutic Potential in Pediatric and Adult Gliomas
Brock, C. S., Nguyen, L., Pattillo, C., Ahamed, C., Sato, K., & Kumar, K. K. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27062720 · Cited by 1
Udutha, S., Batsios, G., Taglang, C., Gillespie, A. M., & Viswanath, P. (2026) · Neuro-Oncology · doi:10.1093/neuonc/noag063 · Cited by 1
Huang, J. Z., Yang, X., Li, F., Li, X., Wei, H., & Li, M. Q. (2026) · Cells · doi:10.3390/cells15121107 · Cited by 1
LaFlamme, B. A. (2014) · Nature Genetics · doi:10.1038/ng.3024 · Cited by 1
Isocitrate Dehydrogenase (IDH) Mutation in Gliomas
Chesnelong, C. (2015) · Springer eBooks · doi:10.1007/978-3-319-15811-2_25 · Cited by 1
Self-citationMRS for D-2HG Detection in IDH-Mutant Glioma
Andronesi, O. C., Batchelor, T. T., & Cahill, D. P. (2019) · Springer eBooks · doi:10.1007/978-3-030-27359-0_11 · Cited by 1
MicroRNA Regulation of Glycolytic Metabolism in Glioblastoma
Alfardus, H., McIntyre, A., & Smith, S. J. (2020) · Vide Leaf, Hyderabad eBooks · doi:10.37247/pabs.1.2020.7 · Cited by 1
Li, H., Wang, S., & Wang, Y. (2021) · Research Square · doi:10.21203/rs.3.rs-299422/v1 · Cited by 1
Hypoxia and Associated Acidosis Generate Cell-Type Specific Myeloid Responses in GlioblastomaPreprint
Tiihonen, A. M., Salonen, I., Koivisto, I., Ritamäki, A. S., Jaatinen, S., Hyvärinen, T., Tilvis, J., Kreutzer, J., Karabiyik, G., Mäntylä, S., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.26.707379 · Cited by 1
Expressão gênica da família das lisil oxidases e papel funcional de LOX em astrocitomas
da Silva, R. (2014) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.5.2014.tde-12012015-091413
The Implication of Antiangiogenic Treatment of Malignancies on Human Metabolism
Obad, N., & Bjerkvig, R. (2017) · Springer eBooks · doi:10.1007/978-3-319-31215-6_35-1
Targeted RNA NextGenSeq profiling in oncology using single molecule molecular inversion probesPreprint
Lenting, K., van den Heuvel, C. N. A. M., van Ewijk, A., Tindall, E. A., Ge, W., Küsters, B., Dorsthorst, M. T., ter Laan, M., Huynen, M. A., & Leenders, W. P. J. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/440065
Impact of San-mediated Signaling on Glioblastoma and Neuroblastoma Metabolism
Silva, M. R. (2018) · FIU - Digital Commons (Florida International University) · doi:10.25148/etd.fidc006885
Integration into cancer studies
Viswanath, P. (2021) · Advances in magnetic resonance technology and applications · doi:10.1016/b978-0-12-822269-0.00010-5
Tecnologia de fabricação de malte: uma revisão
Porto, P. D. D. (2011)
The Implication of Anti-angiogenic Treatment of Malignancies on Human Metabolism
Obad, N., & Bjerkvig, R. (2019) · Springer eBooks · doi:10.1007/978-3-319-33673-2_35
Development of Hyperpolarized MR Imaging for Clinical Application
Matsuo, M., & Hyodo, F. (2022) · Japanese Journal of Magnetic Resonance in Medicine · doi:10.2463/jjmrm.2022-1767
BCL6 is a context-dependent mediator of the glioblastoma therapy response
Tribe, A. K. W. (2023) · Open Access Victoria University of Wellington | Te Herenga Waka (Figshare) · doi:10.26686/wgtn.21937850
A negative feedback loop underlies the Warburg effectPreprint
Singh, R., & Jaiswal, A. (2023) · Research Square · doi:10.21203/rs.3.rs-3465493/v1
On a singular mathematical model for brain lactate kinetics
Ali, N., Fakih, H., & Wehbe, A. (2024) · Mathematical Methods in the Applied Sciences · doi:10.1002/mma.9898
Kumarapuram, S., Strotzer, Q., Rapalino, O., & Gupta, R. (2025) · European Journal of Radiology · doi:10.1016/j.ejrad.2025.112474
Yan, C., Yang, Z., Chen, P., Yeh, Y., Sun, C., Xie, T., Huang, W., & Zhang, X. (2024) · Figshare · doi:10.6084/m9.figshare.26701963
Wang, K., Li, Y., Cheng, H., Li, S., Xiang, W., Ming, Y., Chen, L., & Zhou, J. (2021) · Figshare · doi:10.6084/m9.figshare.17073273
Wang, K., Li, Y., Cheng, H., Li, S., Xiang, W., Ming, Y., Chen, L., & Zhou, J. (2021) · Figshare · doi:10.6084/m9.figshare.17073279
Additional file 2 of A patient-derived cell model for malignant transformation in IDH-mutant glioma
Kim, O., Sergi, Z., Yu, G., Yamamoto, K., Quezado, M., Abdullaev, Z., Crooks, D. R., Kishimoto, S., Li, Q., Lu, P., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26981907
Additional file 1 of A patient-derived cell model for malignant transformation in IDH-mutant glioma
Kim, O., Sergi, Z., Yu, G., Yamamoto, K., Quezado, M., Abdullaev, Z., Crooks, D. R., Kishimoto, S., Li, Q., Lu, P., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26981901
Ho, K.-H., Huang, T.-W., Shih, C.-M., Lee, Y.-T., Liu, A.-J., Chen, P.-H., & Chen, K.-C. (2021) · Figshare · doi:10.6084/m9.figshare.14111140
Ho, K.-H., Huang, T.-W., Shih, C.-M., Lee, Y.-T., Liu, A.-J., Chen, P.-H., & Chen, K.-C. (2021) · Figshare · doi:10.6084/m9.figshare.14111167
Ho, K.-H., Huang, T.-W., Shih, C.-M., Lee, Y.-T., Liu, A.-J., Chen, P.-H., & Chen, K.-C. (2021) · Figshare · doi:10.6084/m9.figshare.14111164
Ho, K.-H., Huang, T.-W., Shih, C.-M., Lee, Y.-T., Liu, A.-J., Chen, P.-H., & Chen, K.-C. (2021) · Figshare · doi:10.6084/m9.figshare.14111146
Ho, K.-H., Huang, T.-W., Shih, C.-M., Lee, Y.-T., Liu, A.-J., Chen, P.-H., & Chen, K.-C. (2021) · Figshare · doi:10.6084/m9.figshare.14111152
Ho, K.-H., Huang, T.-W., Shih, C.-M., Lee, Y.-T., Liu, A.-J., Chen, P.-H., & Chen, K.-C. (2021) · Figshare · doi:10.6084/m9.figshare.14111143
Wang, K., Li, Y., Cheng, H., Li, S., Xiang, W., Ming, Y., Chen, L., & Zhou, J. (2021) · Figshare · doi:10.6084/m9.figshare.17073276
Ho, K.-H., Huang, T.-W., Shih, C.-M., Lee, Y.-T., Liu, A.-J., Chen, P.-H., & Chen, K.-C. (2021) · Figshare · doi:10.6084/m9.figshare.14111137
Ho, K.-H., Huang, T.-W., Shih, C.-M., Lee, Y.-T., Liu, A.-J., Chen, P.-H., & Chen, K.-C. (2021) · Figshare · doi:10.6084/m9.figshare.14111173
Metadata
- Authors
- Chesnelong, C., Chaumeil, M. M., Blough, M. D., Al-Najjar, M., Stechishin, O. D., Chan, J. A., Pieper, R. O., Ronen, S. M., Weiss, S., Luchman, H. A., & Cairncross, J. G.
- Affiliations
- Foothills Medical Centre (CA)
- Corresponding author
- Cairncross, J. Gregory
- ORCID
- Venue
- Neuro-Oncology
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-12-22
- Volume
- 16
- Issue
- 5
- Pages
- 686-695
- ISSN
- 1522-8517 (ISSN-L)
- 1523-5866
- PMC
- PMC3984548
- OpenAlex
- W2101246344
- Cited by
- 210
- References
- 39
- Citations by year
- 2026: 16 · 2025: 10 · 2024: 16 · 2023: 13 · 2022: 19 · 2021: 33 · 2020: 22 · 2019: 16 · 2018: 20 · 2017: 12 · 2016: 9 · 2015: 12 · 2014: 11
- FWCI
- 5.25
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neuro-Oncology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Cancer Institute (R01CA172845)
- Topics
- Health Sciences › Medicine › Oncology › Glioma Diagnosis and Treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Health Sciences › Medicine › Hematology › Acute Myeloid Leukemia Research
- Keywords
- LDHA, IDH mutation, isocitrate dehydrogenase, glioma, brain tumor stem cells, hypoxia-inducible factor-1α, 2-hydroxyglutarate, DNA methylation, promoter methylation, glycolysis, glioblastoma, Warburg effect, cancer metabolism
- MeSH terms
- Lactate Dehydrogenase 5, Animals, Glioblastoma, Glioma, Humans, Isocitrate Dehydrogenase, Isoenzymes, L-Lactate Dehydrogenase, Mutation, Gene Expression Regulation, Neoplastic, DNA Methylation, Brain Stem Neoplasms, Gene Silencing, Cell Line, Tumor, Mice, Hypoxia-Inducible Factor 1, alpha Subunit
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