The DOI matches its Crossref record; 53 of the 54 references it cites were found in a registry or an index.
Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas
Open accessAbstract
BACKGROUND: Diffuse low-grade and intermediate-grade gliomas (which together make up the lower-grade gliomas, World Health Organization grades II and III) have highly variable clinical behavior that is not adequately predicted on the basis of histologic class. Some are indolent; others quickly progress to glioblastoma. The uncertainty is compounded by interobserver variability in histologic diagnosis. Mutations in IDH, TP53, and ATRX and codeletion of chromosome arms 1p and 19q (1p/19q codeletion) have been implicated as clinically relevant markers of lower-grade gliomas. METHODS: We performed genomewide analyses of 293 lower-grade gliomas from adults, incorporating exome sequence, DNA copy number, DNA methylation, messenger RNA expression, microRNA expression, and targeted protein expression. These data were integrated and tested for correlation with clinical outcomes. RESULTS: Unsupervised clustering of mutations and data from RNA, DNA-copy-number, and DNA-methylation platforms uncovered concordant classification of three robust, nonoverlapping, prognostically significant subtypes of lower-grade glioma that were captured more accurately by IDH, 1p/19q, and TP53 status than by histologic class. Patients who had lower-grade gliomas with an IDH mutation and 1p/19q codeletion had the most favorable clinical outcomes. Their gliomas harbored mutations in CIC, FUBP1, NOTCH1, and the TERT promoter. Nearly all lower-grade gliomas with IDH mutations and no 1p/19q codeletion had mutations in TP53 (94%) and ATRX inactivation (86%). The large majority of lower-grade gliomas without an IDH mutation had genomic aberrations and clinical behavior strikingly similar to those found in primary glioblastoma. CONCLUSIONS: The integration of genomewide data from multiple platforms delineated three molecular classes of lower-grade gliomas that were more concordant with IDH, 1p/19q, and TP53 status than with histologic class. Lower-grade gliomas with an IDH mutation either had 1p/19q codeletion or carried a TP53 mutation. Most lower-grade gliomas without an IDH mutation were molecularly and clinically similar to glioblastoma. (Funded by the National Institutes of Health.).
Overview
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
Verification
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Gain-of-function IDH mutations are initiating events that define major clinical and prognostic classes of gliomas1,2.”
From Insulator dysfunction and oncogene activation in IDH mutant gliomas (2016) · cites this paper as [2]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Our patient’s tumor harbored mutations in TERT, FUBP1, and CIC, which are common alterations in oligodendroglioma, but not clinically relevant [46,47].”
From BPC 157 Therapy of Myotendinous Junction Injury in Rats (2025) · cites this paper as [47]
Experimental — accuracy not yet measuredIn the citing paper
“IDH WT astrocytomas are, for the most part, highly aggressive, having a median survival of 18 mo”
From Predicting cancer outcomes from histology and genomics using convolutional networks (2018) · cites this paper as [37]
In the citing paper
“Second, predicted risks are consistent with the published expected overall survivals associated with molecular subtypes (37).”
From Predicting cancer outcomes from histology and genomics using convolutional networks (2018) · cites this paper as [37]
In the citing paper
“and these have the lowest overall predicted risks consistent with overall survivals of 10+ y (37, 39).”
From Predicting cancer outcomes from histology and genomics using convolutional networks (2018) · cites this paper as [37]
In the citing paper
“IDH mutant astrocytomas are another subtype with considerably better overall survival ranging from 3 to 8 y”
From Predicting cancer outcomes from histology and genomics using convolutional networks (2018) · cites this paper as [37]
In the citing paper
“In recent years, two landmark genomic studies carried out in human glioma and acute myeloid leukaemia (AML) found mutations in IDH1/2 and it is now appreciated that these enzymes (which drive elevated production of D-2-HG) are the most frequently mutated metabolic genes in human cancer112-114.”
From Coupling Krebs cycle metabolites to signalling in immunity and cancer (2018) · cites this paper as [114]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The 2007 WHO Classification of Tumours of the Central Nervous System
Louis, D. N., Ohgaki, H., Wiestler, O. D., Cavenee, W. K., Burger, P. C., Jouvet, A., Scheithauer, B. W., & Kleihues, P. (2007) · Acta Neuropathologica · doi:10.1007/s00401-007-0243-4 · Cited by 15,675
Ostrom, Q. T., Gittleman, H. R., Farah, P., Ondracek, A., Chen, Y., Wolinsky, Y., Stroup, N. E., Kruchko, C., & Barnholtz‐Sloan, J. S. (2013) · Neuro-Oncology · doi:10.1093/neuonc/not151 · Cited by 12,063
Verhaak, R. G. W., Hoadley, K. A., Purdom, E., Wang, V., Qi, Y., Wilkerson, M. D., Miller, C. R., Ding, L., Golub, T., Mesirov, J. P., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2009.12.020 · Cited by 7,575
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
Mutational heterogeneity in cancer and the search for new cancer-associated genes
Lawrence, M. S., Stojanov, P., Polak, P., Kryukov, G. V., Cibulskis, K., Sivachenko, A., Carter, S. L., Stewart, C., Mermel, C. H., Roberts, S. A., et al. (2013) · Nature · doi:10.1038/nature12213 · Cited by 5,461
The Somatic Genomic Landscape of Glioblastoma
Brennan, C. W., Verhaak, R. G. W., McKenna, A., Campos, B., Noushmehr, H., Salama, S. R., Zheng, S., Chakravarty, D., Sanborn, J. Z., Berman, S. H., et al. (2013) · Cell · doi:10.1016/j.cell.2013.09.034 · Cited by 5,016
Activating Mutations of NOTCH1 in Human T Cell Acute Lymphoblastic Leukemia
Weng, A. P., Ferrando, A. A., Lee, W., Morris, J. P., Silverman, L. B., Sanchez-Irizarry, C., Blacklow, S. C., Look, A. T., & Aster, J. C. (2004) · Science · doi:10.1126/science.1102160 · Cited by 2,706
Identification of a CpG Island Methylator Phenotype that Defines a Distinct Subgroup of Glioma
Noushmehr, H., Weisenberger, D. J., Diefes, K., Phillips, H. S., Pujara, K., Berman, B. P., Pan, F., Pelloski, C. E., Sulman, E. P., Bhat, K. P., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2010.03.017 · Cited by 2,337
Glioma Groups Based on 1p/19q, IDH , and TERT Promoter Mutations in Tumors
Eckel‐Passow, J. E., Lachance, D. H., Molinaro, A. M., Walsh, K. M., Decker, P. A., Sicotte, H., Pekmezci, M., Rice, T., Kosel, M., Smirnov, I. V., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1407279 · Cited by 1,981
Emerging landscape of oncogenic signatures across human cancers
Ciriello, G., Miller, M. L., Aksoy, B. A., Şenbabaoğlu, Y., Schultz, N. D., & Sander, C. (2013) · Nature Genetics · doi:10.1038/ng.2762 · Cited by 1,401
Killela, P. J., Reitman, Z. J., Jiao, Y., Bettegowda, C., Agrawal, N., Diaz, L. A., Friedman, A. H., Friedman, H., Gallia, G. L., Giovanella, B. C., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1303607110 · Cited by 1,368
Mutational analysis reveals the origin and therapy-driven evolution of recurrent glioma
Johnson, B. E., Mazor, T., Hong, C., Barnes, M., Aihara, K., McLean, C. Y., Fouse, S. D., Yamamoto, S., Ueda, H., Tatsuno, K., et al. (2014) · Science · doi:10.1126/science.1239947 · Cited by 1,362
van den Bent, M. J., Brandes, A. A., TAPHOORN, M. J. B., Kros, J. M., Kouwenhoven, M. C. M., Delattre, J., Bernsen, H. J. J. A., Frénay, M., Tijssen, C. C., Grisold, W., et al. (2012) · Journal of Clinical Oncology · doi:10.1200/jco.2012.43.2229 · Cited by 1,220
An inhibitor of mutant IDH1 delays growth and promotes differentiation of glioma cells
Rohle, D., Popovici-Muller, J., Palaskas, N., Turcan, S., Grommes, C., Campos, C., Tsoi, J., Clark, O., Oldrini, B., Komisopoulou, E., et al. (2013) · Science · doi:10.1126/science.1236062 · Cited by 1,153
Cairncross, G. J., Wang, M., Shaw, E., Jenkins, R. B., Brachman, D. G., Buckner, J. C., Fink, K., Souhami, L., Laperrière, N., Curran, W., et al. (2012) · Journal of Clinical Oncology · doi:10.1200/jco.2012.43.2674 · Cited by 1,152
Whole-genome sequencing identifies genetic alterations in pediatric low-grade gliomas
Zhang, J., Wu, G., Parker, M. D., Huether, R., Chen, X. '., Hedlund, E., Nagahawatte, P., Rusch, M., Becksfort, J. B., Li, Y., et al. (2013) · Nature Genetics · doi:10.1038/ng.2611 · Cited by 843
Mutational landscape and clonal architecture in grade II and III gliomas
Suzuki, H., Aoki, K., Chiba, K., Sato, Y., Shiozawa, Y., Shiraishi, Y., Shimamura, T., Niida, A., Motomura, K., Ohka, F., et al. (2015) · Nature Genetics · doi:10.1038/ng.3273 · Cited by 831
Transforming Fusions of FGFR and TACC Genes in Human Glioblastoma
Singh, D., Chan, J. M., Zoppoli, P., Niola, F., Sullivan, R. J., Castano, A. M., Liu, E. M., Reichel, J. B., Porrati, P., Pellegatta, S., et al. (2012) · Science · doi:10.1126/science.1220834 · Cited by 803
Jakola, A. S., Myrmel, K. S., Kloster, R., Torp, S. H., Lindal, S., Unsgård, G., & Solheim, O. (2012) · JAMA · doi:10.1001/jama.2012.12807 · Cited by 641
Frequent ATRX , CIC , FUBP1 and IDH1 mutations refine the classification of malignant gliomas
Jiao, Y., Killela, P. J., Reitman, Z. J., Rasheed, B. A., Heaphy, C. M., de Wilde, R. F., Rodríguez, F. J., Rosemberg, S., Oba‐Shinjo, S. M., Marie, S. K. N., et al. (2012) · Oncotarget · doi:10.18632/oncotarget.588 · Cited by 610
Louis, D. N., Perry, A., Burger, P. C., Ellison, D. W., Reifenberger, G., von Deimling, A., Aldape, K., Brat, D. J., Collins, V. P., Eberhart, C. G., et al. (2014) · Brain Pathology · doi:10.1111/bpa.12171 · Cited by 580
van den Bent, M. J. (2010) · Acta Neuropathologica · doi:10.1007/s00401-010-0725-7 · Cited by 577
Mutations in CIC and FUBP1 Contribute to Human Oligodendroglioma
Bettegowda, C., Agrawal, N., Jiao, Y., Sausen, M., Wood, L. D., Hruban, R. H., Rodríguez, F. J., Cahill, D. P., McLendon, R. E., Riggins, G. J., et al. (2011) · Science · doi:10.1126/science.1210557 · Cited by 561
deFuse: An Algorithm for Gene Fusion Discovery in Tumor RNA-Seq Data
McPherson, A., Hormozdiari, F., Zayed, A., Giuliany, R., Ha, G., Sun, M. G. F., Griffith, M., Heravi Moussavi, A., Senz, J., Melnyk, N., et al. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001138 · Cited by 557
Martin, M., Maßhöfer, L., Ketteler, P., Rahmann, S., Metz, C. H. D., Bornfeld, N., van de Nes, J. A. P., Klein‐Hitpaß, L., Hinnebusch, A. G., Horsthemke, B., et al. (2013) · Nature Genetics · doi:10.1038/ng.2674 · Cited by 536
Yan, H., Killela, P. J., Reitman, Z. J., Jiao, Y., Bettegowda, C., Agrawal, N., Diaz, L. A., Friedman, A. H., Friedman, H. S., Gallia, G. L., et al. (2014) · Neuro-Oncology · doi:10.1093/neuonc/nou206.18 · Cited by 531
Reuß, D., Sahm, F., Schrimpf, D., Wiestler, B., Capper, D., Koelsche, C., Schweizer, L., Korshunov, A., Jones, D., Hovestadt, V., et al. (2014) · Acta Neuropathologica · doi:10.1007/s00401-014-1370-3 · Cited by 458
Liu, X.-Y., Gerges, N., Korshunov, A., Sabha, N., Khuong-Quang, D.-A., Fontebasso, A. M., Fleming, A. J., Hadjadj, D., Schwartzentruber, J., Majewski, J., et al. (2012) · Acta Neuropathologica · doi:10.1007/s00401-012-1031-3 · Cited by 443
Sanai, N., Chang, S., & Berger, M. S. (2011) · Journal of neurosurgery · doi:10.3171/2011.7.jns101238 · Cited by 408
Yip, S. S. F., Butterfield, Y. S. N., Morozova, O., Chittaranjan, S., Blough, M. D., An, J., Birol, İ., Chesnelong, C., Chiu, R., Chuah, E., et al. (2011) · The Journal of Pathology · doi:10.1002/path.2995 · Cited by 315
Sahm, F., Reuß, D., Koelsche, C., Capper, D., Schittenhelm, J., Heim, S., Jones, D., Pfister, S. M., Herold‐Mende, C. C., Wick, W., et al. (2014) · Acta Neuropathologica · doi:10.1007/s00401-014-1326-7 · Cited by 282
The tumorigenic FGFR3-TACC3 gene fusion escapes miR-99a regulation in glioblastoma
Parker, B. C., Annala, M., Cogdell, D. E., Granberg, K. J., Sun, Y., Ji, P., Li, X., Gumin, J., Zheng, H., Hu, L., et al. (2013) · Journal of Clinical Investigation · doi:10.1172/jci67144 · Cited by 218
Weller, M., Stupp, R., Hegi, M. E., van den Bent, M. J., Tonn, J. C., Sanson, M., Wick, W., & Reifenberger, G. (2012) · Neuro-Oncology · doi:10.1093/neuonc/nos206 · Cited by 209
Molecular Pathways: HER3 Targeted Therapy
Gala, K. P., & Chandarlapaty, S. (2014) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-13-1549 · Cited by 200
Wiestler, B., Capper, D., Sill, M., Jones, D., Hovestadt, V., Sturm, D., Koelsche, C., Bertoni, A., Schweizer, L., Korshunov, A., et al. (2014) · Acta Neuropathologica · doi:10.1007/s00401-014-1315-x · Cited by 195
The UCSC Cancer Genomics Browser: update 2013
Goldman, M. J., Craft, B., Swatloski, T., Ellrott, K., Cline, M., Diekhans, M., Ma, S., Wilks, C., Stuart, J. M., Haussler, D. H., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1008 · Cited by 163
PRADA: pipeline for RNA sequencing data analysis
Torres‐García, W., Zheng, S., Sivachenko, A., Vegesna, R., Wang, Q., Yao, R., Berger, M. F., Weinstein, J. N., Getz, G. A., & Verhaak, R. G. W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu169 · Cited by 158
Clinicopathologic Aspects of 1p/19q Loss and the Diagnosis of Oligodendroglioma
Aldape, K., Burger, P. C., & Perry, A. (2007) · Archives of Pathology & Laboratory Medicine · doi:10.5858/2007-131-242-caoqla · Cited by 153
Update on molecular findings, management and outcome in low-grade gliomas
Bourne, T. D., & Schiff, D. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2010.159 · Cited by 146
Successful chemotherapy for newly diagnosed aggressive oligodendroglioma
Macdonald, D., Gaspar, L. E., & Cairncross, J. G. (1990) · Annals of Neurology · doi:10.1002/ana.410270519 · Cited by 138
Giannini, C., Burger, P. C., Berkey, B. A., Cairncross, J. G., Jenkins, R. B., Mehta, M. P., Curran, W. J., & Aldape, K. D. (2008) · Brain Pathology · doi:10.1111/j.1750-3639.2008.00129.x · Cited by 134
Appin, C., & Brat, D. J. (2014) · The Cancer Journal · doi:10.1097/ppo.0000000000000020 · Cited by 122
van den Bent, M. J. (2014) · Neuro-Oncology · doi:10.1093/neuonc/nou297 · Cited by 118
Sanborn, Z., Salama, S. R., Grifford, M., Brennan, C. W., Mikkelsen, T., Jhanwar, S. C., Katzman, S. J., Chin, L., & Haussler, D. H. (2013) · Cancer Research · doi:10.1158/0008-5472.can-13-0186 · Cited by 111
Altered retinoblastoma protein expression in nonsmall cell lung cancer
Dosaka‐Akita, H., Hu, S., Fujino, M., Harada, M., Kinoshita, I., Xu, H., Kuzumaki, N., Kawakami, Y., & Benedict, W. F. (1997) · Cancer · doi:10.1002/(sici)1097-0142(19970401)79:7 · Cited by 97
PARADIGM-SHIFT predicts the function of mutations in multiple cancers using pathway impact analysis
Ng, S., Collisson, E. A., Sokolov, A., Goldstein, T. C., González-Pérez, A., López-Bigas, N., Benz, C. C., Haussler, D. H., & Stuart, J. M. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts402 · Cited by 95
Moving toward molecular classification of diffuse gliomas in adults
Theeler, B. J., Yung, W. K. A., Fuller, G. N., & de Groot, J. (2012) · Neurology · doi:10.1212/wnl.0b013e318271f7cb · Cited by 90
The genetic landscape of anaplastic astrocytoma
Killela, P. J., Pirozzi, C. J., Reitman, Z. J., Jones, S., Rasheed, B. A., Lipp, E., Friedman, H. S., Friedman, A. H., He, Y., McLendon, R. E., et al. (2013) · Oncotarget · doi:10.18632/oncotarget.1505 · Cited by 80
Zheng, S., Fu, J., Vegesna, R., Mao, Y., Heathcock, L. E., Torres‐García, W., Ezhilarasan, R., Wang, S., McKenna, A., Chin, L., et al. (2013) · Genes & Development · doi:10.1101/gad.213686.113 · Cited by 73
Cho, J., Pastorino, S., Zeng, Q., Xu, X., Johnson, W. E., VandenBerg, S. R., Verhaak, R. G. W., Cherniack, A. D., Watanabe, H., Dutt, A., et al. (2011) · Cancer Research · doi:10.1158/0008-5472.can-11-0821 · Cited by 73
Clinicopathologic Features of Pediatric Oligodendrogliomas
Rodríguez, F. J., Tihan, T., Lin, D., McDonald, W., Nigro, J. M., Feuerstein, B. G., Jackson, S., Cohen, K. J., & Burger, P. C. (2014) · The American Journal of Surgical Pathology · doi:10.1097/pas.0000000000000221 · Cited by 64
Cryan, J. B., Haidar, S., Ramkissoon, L. A., Bi, W. L., Knoff, D. S., Schultz, N. D., Abedalthagafi, M., Brown, L. E., Wen, P. Y., Reardon, D. A., et al. (2014) · Oncotarget · doi:10.18632/oncotarget.2342 · Cited by 60
Flagged first, then by citations
1 of the 54 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Parker BC, 2013, J Clin Invest, 123, 855
Cited by
Sorted by citations
The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary
Louis, D. N., Perry, A., Reifenberger, G., von Deimling, A., Figarella‐Branger, D., Cavenee, W. K., Ohgaki, H., Wiestler, O. D., Kleihues, P., & Ellison, D. W. (2016) · Acta Neuropathologica · doi:10.1007/s00401-016-1545-1 · Cited by 15,703
TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data
Colaprico, A., Silva, T. C., Olsen, C., Garofano, L., Cava, C., Garolini, D., Sabedot, T. S., Malta, T. M., Pagnotta, S. M., Castiglioni, I., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1507 · Cited by 4,205
Liu, J., Lichtenberg, T., Hoadley, K. A., Poisson, L. M., Lazar, A. J., Cherniack, A. D., Kovatich, A. J., Benz, C. C., Levine, D. A., Lee, A. V., et al. (2018) · Cell · doi:10.1016/j.cell.2018.02.052 · Cited by 3,725
Dynamic RNA Modifications in Gene Expression Regulation
Roundtree, I. A., Evans, M., Pan, T., & He, C. (2017) · Cell · doi:10.1016/j.cell.2017.05.045 · Cited by 3,512
Next-generation characterization of the Cancer Cell Line Encyclopedia
Ghandi, M., Huang, F. W., Jané-Valbuena, J., Kryukov, G. V., Lo, C. C., McDonald, E. R., Barretina, J., Gelfand, E. T., Bielski, C. M., Li, H., et al. (2019) · Nature · doi:10.1038/s41586-019-1186-3 · Cited by 3,394
Metadata
- Authors
- The Cancer Genome Atlas Research Network
- Affiliations
- Emory University (US)
- Corresponding author
- The Cancer Genome Atlas Research Network
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2015-06-25
- Volume
- 372
- Issue
- 26
- Pages
- 2481-2498
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- PMC
- PMC4530011
- OpenAlex
- W1812256879
- Cited by
- 3,148
- References
- 54
- Citations by year
- 2026: 139 · 2025: 196 · 2024: 248 · 2023: 282 · 2022: 371 · 2021: 341 · 2020: 366 · 2019: 314 · 2018: 311 · 2017: 284 · 2016: 226 · 2015: 60
- FWCI
- 164.44
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion, other-oa)
- IRIS (submittedVersion)
- SERVAL (Université de Lausanne) (submittedVersion)
- Funders
- National Institutes of Health
- National Human Genome Research Institute (U54HG003067, U54HG003079, U54HG003273, U54HG007990)
- National Cancer Institute (U24CA194362, U24CA126554, U24CA143882, U24CA143843, U24CA143840, U24CA126546, U24CA143858, U24CA126543, U24CA144025, U24CA126563, U01CA168394, U24CA143866, U24CA143883, U24CA143845, U24CA126544, R01CA163722, U24CA180951, U24CA143867, U24CA143848, U24CA143799, U24CA126551, U24CA143835, U24CA126561, P30CA008748, P30CA016672, U24CA143731)
- National Institute of Neurological Disorders and Stroke (R01NS081125)
- Topics
- Health Sciences › Medicine › Oncology › Glioma Diagnosis and Treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Health Sciences › Medicine › Hematology › Acute Myeloid Leukemia Research
- Keywords
- glioma molecular subtypes, IDH mutation, 1p/19q codeletion, TP53 mutation, TERT promoter mutation, NOTCH1 mutation, CIC mutation, glioblastoma, prognostic factors, DNA methylation, DNA copy number, gene expression, microRNA expression
- MeSH terms
- Adolescent, Adult, Aged, Chromosomes, Human, Pair 1, Chromosomes, Human, Pair 19, DNA, Neoplasm, Female, Glioblastoma, Glioma, Humans, Male, Middle Aged, Mutation, Signal Transduction, Cluster Analysis, Proportional Hazards Models, Genes, p53, Sequence Analysis, DNA, Kaplan-Meier Estimate, 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
