The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Spatial genomic heterogeneity in diffuse intrinsic pontine and midline high-grade glioma: implications for diagnostic biopsy and targeted therapeutics
Open accessAbstract
INTRODUCTION: Diffuse intrinsic pontine glioma (DIPG) and midline high-grade glioma (mHGG) are lethal childhood brain tumors. Spatial genomic heterogeneity has been well-described in adult HGG but has not been comprehensively characterized in pediatric HGG. We performed whole exome sequencing on 38-matched primary, contiguous, and metastatic tumor sites from eight children with DIPG (n = 7) or mHGG (n = 1) collected using a unique MRI-guided autopsy protocol. Validation was performed using Sanger sequencing, Droplet Digital polymerase-chain reaction, immunohistochemistry, and fluorescent in-situ hybridization. RESULTS: Median age at diagnosis was 6.1 years (range: 2.9-23.3 years). Median overall survival was 13.2 months (range: 11.2-32.2 months). Contiguous tumor infiltration and distant metastases were observed in seven and six patients, respectively, including leptomeningeal dissemination in three DIPGs. Histopathological heterogeneity was evident in seven patients, including intra-pontine heterogeneity in two DIPGs, ranging from World Health Organization grade II to IV astrocytoma. We found conservation of heterozygous K27M mutations in H3F3A (n = 4) or HIST1H3B (n = 3) across all primary, contiguous, and metastatic tumor sites in all DIPGs. ACVR1 (n = 2), PIK3CA (n = 2), FGFR1 (n = 2), and MET (n = 1) were also intra-tumorally conserved. ACVR1 was co-mutated with HIST1H3B (n = 2). In contrast, PDGFRA amplification and mutation were spatially heterogeneous, as were mutations in BCOR (n = 1), ATRX (n = 2), and MYC (n = 1). TP53 aberrations (n = 3 patients) varied by type and location between primary and metastatic tumors sites but were intra-tumorally conserved. CONCLUSION: Spatial conservation of prognostically-relevant and therapeutically-targetable somatic mutations in DIPG and mHGG contrasts the significant heterogeneity of driver mutations seen in adult HGG and supports uniform implementation of diagnostic biopsy in DIPG and mHGG to classify molecular risk groups and guide therapeutic strategy.
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.
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
Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
Patel, A. P., Tirosh, I., Trombetta, J. J., Shalek, A. K., Gillespie, S. M., Wakimoto, H., Cahill, D. P., Nahed, B. V., Curry, W. T., Martuza, R. L., et al. (2014) · Science · doi:10.1126/science.1254257 · Cited by 5,063
Driver mutations in histone H3.3 and chromatin remodelling genes in paediatric glioblastoma
Schwartzentruber, J., Korshunov, A., Liu, X.-Y., Jones, D. T. W., Pfaff, E., Jacob, K., Sturm, D., Fontebasso, A. M., Quang, D.-A. K., Tönjes, M., et al. (2012) · Nature · doi:10.1038/nature10833 · Cited by 2,631
Khuong-Quang, D.-A., Buczkowicz, P., Rakopoulos, P., Liu, X.-Y., Fontebasso, A. M., Bouffet, E., Bartels, U., Albrecht, S., Schwartzentruber, J., Letourneau, L., et al. (2012) · Acta Neuropathologica · doi:10.1007/s00401-012-0998-0 · Cited by 1,028
Self-citationMutational 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
Functionally defined therapeutic targets in diffuse intrinsic pontine glioma
Grasso, C. S., Tang, Y., Truffaux, N., Berlow, N. E., Liu, L., Debily, M.-A., Quist, M. J., Davis, L. E., Huang, E. C., Woo, P. J., et al. (2015) · Nature Medicine · doi:10.1038/nm.3855 · Cited by 687
Self-citationPharmacologic inhibition of histone demethylation as a therapy for pediatric brainstem glioma
Hashizume, R., Andor, N., Ihara, Y., Lerner, R., Gan, H., Chen, X., Fang, D., Huang, X., Tom, M. W., Ngo, V., et al. (2014) · Nature Medicine · doi:10.1038/nm.3716 · Cited by 476
Novel Oncogenic PDGFRA Mutations in Pediatric High-Grade Gliomas
Paugh, B. S., Zhu, X., Qu, C., Endersby, R., Diaz, A. K., Zhang, J., Bax, D. A., Carvalho, D., Reis, R. M., Onar-Thomas, A., et al. (2013) · Cancer Research · doi:10.1158/0008-5472.can-13-1491 · Cited by 235
Cited by
Ostrom, Q. T., Patil, N., Cioffi, G., Waite, K., Kruchko, C., & Barnholtz-Sloan, J. S. (2020) · Neuro-Oncology · doi:10.1093/neuonc/noaa200 · Cited by 1,789
Role of tau protein in Alzheimer’s disease: The prime pathological player
Muralidar, S., Ambi, S. V., Sekaran, S., Thirumalai, D., & Palaniappan, B. (2020) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2020.07.327 · Cited by 278
Astolfi, A., Fiore, M., Melchionda, F., Indio, V., Bertuccio, S. N., & Pession, A. (2019) · Epigenomics · doi:10.2217/epi-2018-0195 · Cited by 183
Tau Proteolysis in the Pathogenesis of Tauopathies: Neurotoxic Fragments and Novel Biomarkers
Quinn, J. P., Corbett, N. J., Kellett, K. A. B., & Hooper, N. M. (2018) · Journal of Alzheimer's Disease · doi:10.3233/jad-170959 · Cited by 170
Steele, N. Z. R., Carr, J. S., Bonham, L. W., Geier, E. G., Damotte, V., Miller, Z. A., Desikan, R. S., Boehme, K. L., Mukherjee, S., Crane, P. K., et al. (2017) · PLOS Medicine · doi:10.1371/journal.pmed.1002272 · Cited by 91
Metadata
- Authors
- Hoffman, L. M., DeWire, M., Ryall, S., Buczkowicz, P., Leach, J., Miles, L., Ramani, A., Brudno, M., Kumar, S. S., Drissi, R., Dexheimer, P., Salloum, R., Chow, L., Hummel, T., Stevenson, C., Lu, Q. R., Jones, B., Witte, D., Aronow, B., Hawkins, C. E., & Fouladi, M.
- Venue
- Acta Neuropathologica Communications
- Published
- 2016-01-04
- Volume
- 4
- Issue
- 1
- Pages
- 1-1
- ISSN
- 2051-5960 (ISSN-L)
- OpenAlex
- W2197936961
- Cited by
- 199
- References
- 7
- FWCI
- 14.06
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Spatial genomic heterogeneity in diffuse intrinsic pontine and midline high-grade glioma: implications for diagnostic biopsy and targeted therapeutics. https://app.cochat.ai/papers/10.1186/s40478-015-0269-0
- The paper
- Hoffman, L. M., DeWire, M., Ryall, S., Buczkowicz, P., Leach, J., Miles, L., Ramani, A., Brudno, M., Kumar, S. S., Drissi, R., Dexheimer, P., Salloum, R., Chow, L., Hummel, T., Stevenson, C., Lu, Q. R., Jones, B., Witte, D., Aronow, B., . . . Fouladi, M. (2016). Spatial genomic heterogeneity in diffuse intrinsic pontine and midline high-grade glioma: implications for diagnostic biopsy and targeted therapeutics. Acta Neuropathologica Communications. https://doi.org/10.1186/s40478-015-0269-0
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.