EPCO-26. INTRATUMORAL HETEROGENEITY OF GBM IDENTIFIED AND CHARACTERIZED BY A MULTISAMPLING APPROACH AND METHYLATION PROFILING Article Swipe
Omkar Singh
,
Zied Abdullaev
,
Yuji Matsumoto
,
Steven Brem
,
Donald M. O’Rourke
,
Christos Davatzikos
,
Kenneth Aldape
,
MacLean P. Nasrallah
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1093/neuonc/noad179.0489
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1093/neuonc/noad179.0489
Intratumoral heterogeneity in glioblastoma is known and is considered a key feature of GBM’s clinical aggressiveness. To more fully characterize this phenomenon, we conducted methylation profiling on the EPIC array for 79 regions from 20 glioblastomas. Using the Heidelberg classifier, each of the 20 tumors had at least 1 region with a match to a GBM subtype with >0.84 score. Among these, 6 tumors (30%) showed homogeneous-high score matches to the same GBM subclass, while the remaining 14 tumors (70%) showed heterogeneity in GBM subclass, with either lower scores, or disparate matches to different glioma subtypes. Comparing these subclass-homogeneous versus subclass-heterogeneous groups of tumors using methylCIBERSORT deconvolution, the subclass-heterogeneous cases showed a significantly higher proportions of CD8+ T cells and microglia, and significantly lower proportions of CD4+ T cells, B cells and monocytes. While low tumor purity can be a cause of lower confidence scores in the methylation classifier, we did not find that the subclass-heterogeneous tumors had lower tumor purity compared to subclass-homogeneous cases, suggesting that this heterogeneity was due to factors other than tumor purity. Within the subclass-heterogeneous tumors we identified the common intratumorally most variable probes and examined their characteristics. Compared to the overall distribution of probes on the array, these intratumoral-variable probes were significantly more likely to be intergenic and located on enhancers. Conversely, they were significantly less likely to be on gene promoters and CpG islands. Gene ontology analysis showed that genes associated with these probes were enriched for pathways involved in DNA repair. Overall, our multisampling methylation profiling analysis identifies specific biologic correlates of intratumoral heterogeneity that is not simply due to tumor purity. Methylation changes associated with intratumoral heterogeneity converge on specific genomic patterns that warrant further study.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/neuonc/noad179.0489
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388588396
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4388588396Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/neuonc/noad179.0489Digital Object Identifier
- Title
-
EPCO-26. INTRATUMORAL HETEROGENEITY OF GBM IDENTIFIED AND CHARACTERIZED BY A MULTISAMPLING APPROACH AND METHYLATION PROFILINGWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-01Full publication date if available
- Authors
-
Omkar Singh, Zied Abdullaev, Yuji Matsumoto, Steven Brem, Donald M. O’Rourke, Christos Davatzikos, Kenneth Aldape, MacLean P. NasrallahList of authors in order
- Landing page
-
https://doi.org/10.1093/neuonc/noad179.0489Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://pmc.ncbi.nlm.nih.gov/articles/PMC10639823/pdf/noad179.0489.pdfDirect OA link when available
- Concepts
-
Subclass, Glioma, Biology, Methylation, CDKN2A, Homogeneous, CDKN2B, Cancer research, Gene, Immunology, Genetics, Antibody, Mathematics, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4388588396 |
|---|---|
| doi | https://doi.org/10.1093/neuonc/noad179.0489 |
| ids.doi | https://doi.org/10.1093/neuonc/noad179.0489 |
| ids.openalex | https://openalex.org/W4388588396 |
| fwci | 0.18567041 |
| type | article |
| title | EPCO-26. INTRATUMORAL HETEROGENEITY OF GBM IDENTIFIED AND CHARACTERIZED BY A MULTISAMPLING APPROACH AND METHYLATION PROFILING |
| biblio.issue | Supplement_5 |
| biblio.volume | 25 |
| biblio.last_page | v129 |
| biblio.first_page | v129 |
| topics[0].id | https://openalex.org/T10269 |
| topics[0].field.id | https://openalex.org/fields/13 |
| topics[0].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[0].score | 0.9750000238418579 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1312 |
| topics[0].subfield.display_name | Molecular Biology |
| topics[0].display_name | Epigenetics and DNA Methylation |
| topics[1].id | https://openalex.org/T11297 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.9682000279426575 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2740 |
| topics[1].subfield.display_name | Pulmonary and Respiratory Medicine |
| topics[1].display_name | Ferroptosis and cancer prognosis |
| topics[2].id | https://openalex.org/T10129 |
| topics[2].field.id | https://openalex.org/fields/27 |
| topics[2].field.display_name | Medicine |
| topics[2].score | 0.9474999904632568 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2716 |
| topics[2].subfield.display_name | Genetics |
| topics[2].display_name | Glioma Diagnosis and Treatment |
| is_xpac | False |
| apc_list.value | 4612 |
| apc_list.currency | USD |
| apc_list.value_usd | 4612 |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2776194381 |
| concepts[0].level | 3 |
| concepts[0].score | 0.8884303569793701 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q3965271 |
| concepts[0].display_name | Subclass |
| concepts[1].id | https://openalex.org/C2778227246 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6271975636482239 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1365309 |
| concepts[1].display_name | Glioma |
| concepts[2].id | https://openalex.org/C86803240 |
| concepts[2].level | 0 |
| concepts[2].score | 0.5130218863487244 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[2].display_name | Biology |
| concepts[3].id | https://openalex.org/C33288867 |
| concepts[3].level | 3 |
| concepts[3].score | 0.4986858367919922 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q518328 |
| concepts[3].display_name | Methylation |
| concepts[4].id | https://openalex.org/C2780265364 |
| concepts[4].level | 3 |
| concepts[4].score | 0.4779118001461029 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q5009957 |
| concepts[4].display_name | CDKN2A |
| concepts[5].id | https://openalex.org/C66882249 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4597042500972748 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q169336 |
| concepts[5].display_name | Homogeneous |
| concepts[6].id | https://openalex.org/C2776300330 |
| concepts[6].level | 4 |
| concepts[6].score | 0.4543738067150116 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q17860505 |
| concepts[6].display_name | CDKN2B |
| concepts[7].id | https://openalex.org/C502942594 |
| concepts[7].level | 1 |
| concepts[7].score | 0.4355734884738922 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q3421914 |
| concepts[7].display_name | Cancer research |
| concepts[8].id | https://openalex.org/C104317684 |
| concepts[8].level | 2 |
| concepts[8].score | 0.3873295485973358 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q7187 |
| concepts[8].display_name | Gene |
| concepts[9].id | https://openalex.org/C203014093 |
| concepts[9].level | 1 |
| concepts[9].score | 0.2451547384262085 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q101929 |
| concepts[9].display_name | Immunology |
| concepts[10].id | https://openalex.org/C54355233 |
| concepts[10].level | 1 |
| concepts[10].score | 0.21676737070083618 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q7162 |
| concepts[10].display_name | Genetics |
| concepts[11].id | https://openalex.org/C159654299 |
| concepts[11].level | 2 |
| concepts[11].score | 0.14854127168655396 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q79460 |
| concepts[11].display_name | Antibody |
| concepts[12].id | https://openalex.org/C33923547 |
| concepts[12].level | 0 |
| concepts[12].score | 0.1157774031162262 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[12].display_name | Mathematics |
| concepts[13].id | https://openalex.org/C114614502 |
| concepts[13].level | 1 |
| concepts[13].score | 0.08036074042320251 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q76592 |
| concepts[13].display_name | Combinatorics |
| keywords[0].id | https://openalex.org/keywords/subclass |
| keywords[0].score | 0.8884303569793701 |
| keywords[0].display_name | Subclass |
| keywords[1].id | https://openalex.org/keywords/glioma |
| keywords[1].score | 0.6271975636482239 |
| keywords[1].display_name | Glioma |
| keywords[2].id | https://openalex.org/keywords/biology |
| keywords[2].score | 0.5130218863487244 |
| keywords[2].display_name | Biology |
| keywords[3].id | https://openalex.org/keywords/methylation |
| keywords[3].score | 0.4986858367919922 |
| keywords[3].display_name | Methylation |
| keywords[4].id | https://openalex.org/keywords/cdkn2a |
| keywords[4].score | 0.4779118001461029 |
| keywords[4].display_name | CDKN2A |
| keywords[5].id | https://openalex.org/keywords/homogeneous |
| keywords[5].score | 0.4597042500972748 |
| keywords[5].display_name | Homogeneous |
| keywords[6].id | https://openalex.org/keywords/cdkn2b |
| keywords[6].score | 0.4543738067150116 |
| keywords[6].display_name | CDKN2B |
| keywords[7].id | https://openalex.org/keywords/cancer-research |
| keywords[7].score | 0.4355734884738922 |
| keywords[7].display_name | Cancer research |
| keywords[8].id | https://openalex.org/keywords/gene |
| keywords[8].score | 0.3873295485973358 |
| keywords[8].display_name | Gene |
| keywords[9].id | https://openalex.org/keywords/immunology |
| keywords[9].score | 0.2451547384262085 |
| keywords[9].display_name | Immunology |
| keywords[10].id | https://openalex.org/keywords/genetics |
| keywords[10].score | 0.21676737070083618 |
| keywords[10].display_name | Genetics |
| keywords[11].id | https://openalex.org/keywords/antibody |
| keywords[11].score | 0.14854127168655396 |
| keywords[11].display_name | Antibody |
| keywords[12].id | https://openalex.org/keywords/mathematics |
| keywords[12].score | 0.1157774031162262 |
| keywords[12].display_name | Mathematics |
| keywords[13].id | https://openalex.org/keywords/combinatorics |
| keywords[13].score | 0.08036074042320251 |
| keywords[13].display_name | Combinatorics |
| language | en |
| locations[0].id | doi:10.1093/neuonc/noad179.0489 |
| locations[0].is_oa | False |
| locations[0].source.id | https://openalex.org/S106908163 |
| locations[0].source.issn | 1522-8517, 1523-5866 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1522-8517 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Neuro-Oncology |
| locations[0].source.host_organization | https://openalex.org/P4310311648 |
| locations[0].source.host_organization_name | Oxford University Press |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310311648, https://openalex.org/P4310311647 |
| locations[0].source.host_organization_lineage_names | Oxford University Press, University of Oxford |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Neuro-Oncology |
| locations[0].landing_page_url | https://doi.org/10.1093/neuonc/noad179.0489 |
| locations[1].id | pmh:oai:pubmedcentral.nih.gov:10639823 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S2764455111 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed Central |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | https://pmc.ncbi.nlm.nih.gov/articles/PMC10639823/pdf/noad179.0489.pdf |
| locations[1].version | submittedVersion |
| locations[1].raw_type | Text |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Neuro Oncol |
| locations[1].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/10639823 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5102736655 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-4500-7519 |
| authorships[0].author.display_name | Omkar Singh |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4210140884 |
| authorships[0].affiliations[0].raw_affiliation_string | Laboratory of Pathology, National Cancer Institute , NIH, Bethesda , USA |
| authorships[0].institutions[0].id | https://openalex.org/I4210140884 |
| authorships[0].institutions[0].ror | https://ror.org/040gcmg81 |
| authorships[0].institutions[0].type | government |
| authorships[0].institutions[0].lineage | https://openalex.org/I1299022934, https://openalex.org/I1299303238, https://openalex.org/I4210140884 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | National Cancer Institute |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Omkar Singh |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Laboratory of Pathology, National Cancer Institute , NIH, Bethesda , USA |
| authorships[1].author.id | https://openalex.org/A5043895259 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-6345-2088 |
| authorships[1].author.display_name | Zied Abdullaev |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4210140884 |
| authorships[1].affiliations[0].raw_affiliation_string | Laboratory of Pathology, National Cancer Institute, NIH , Bethesda, MD , USA |
| authorships[1].institutions[0].id | https://openalex.org/I4210140884 |
| authorships[1].institutions[0].ror | https://ror.org/040gcmg81 |
| authorships[1].institutions[0].type | government |
| authorships[1].institutions[0].lineage | https://openalex.org/I1299022934, https://openalex.org/I1299303238, https://openalex.org/I4210140884 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | National Cancer Institute |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Zied Abdullaev |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Laboratory of Pathology, National Cancer Institute, NIH , Bethesda, MD , USA |
| authorships[2].author.id | https://openalex.org/A5016062152 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-8798-381X |
| authorships[2].author.display_name | Yuji Matsumoto |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I79576946 |
| authorships[2].affiliations[0].raw_affiliation_string | University of Pennsylvania, USA , Philadelphia, PA , USA |
| authorships[2].institutions[0].id | https://openalex.org/I79576946 |
| authorships[2].institutions[0].ror | https://ror.org/00b30xv10 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I79576946 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | University of Pennsylvania |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Yuji Matsumoto |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | University of Pennsylvania, USA , Philadelphia, PA , USA |
| authorships[3].author.id | https://openalex.org/A5044802659 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-5803-8920 |
| authorships[3].author.display_name | Steven Brem |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I79576946, https://openalex.org/I922845939 |
| authorships[3].affiliations[0].raw_affiliation_string | University of Pennsylvania , Philadelphia , USA |
| authorships[3].institutions[0].id | https://openalex.org/I922845939 |
| authorships[3].institutions[0].ror | https://ror.org/03zzmyz63 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I922845939 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | Philadelphia University |
| authorships[3].institutions[1].id | https://openalex.org/I79576946 |
| authorships[3].institutions[1].ror | https://ror.org/00b30xv10 |
| authorships[3].institutions[1].type | education |
| authorships[3].institutions[1].lineage | https://openalex.org/I79576946 |
| authorships[3].institutions[1].country_code | US |
| authorships[3].institutions[1].display_name | University of Pennsylvania |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Steven Brem |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | University of Pennsylvania , Philadelphia , USA |
| authorships[4].author.id | https://openalex.org/A5071513506 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-8479-7314 |
| authorships[4].author.display_name | Donald M. O’Rourke |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I79576946, https://openalex.org/I922845939 |
| authorships[4].affiliations[0].raw_affiliation_string | University of Pennsylvania , Philadelphia , USA |
| authorships[4].institutions[0].id | https://openalex.org/I922845939 |
| authorships[4].institutions[0].ror | https://ror.org/03zzmyz63 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I922845939 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | Philadelphia University |
| authorships[4].institutions[1].id | https://openalex.org/I79576946 |
| authorships[4].institutions[1].ror | https://ror.org/00b30xv10 |
| authorships[4].institutions[1].type | education |
| authorships[4].institutions[1].lineage | https://openalex.org/I79576946 |
| authorships[4].institutions[1].country_code | US |
| authorships[4].institutions[1].display_name | University of Pennsylvania |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Donald M O'Rourke |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | University of Pennsylvania , Philadelphia , USA |
| authorships[5].author.id | https://openalex.org/A5034999945 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-1025-8561 |
| authorships[5].author.display_name | Christos Davatzikos |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I79576946 |
| authorships[5].affiliations[0].raw_affiliation_string | University of Pennsylvania, USA , Philadelphia, PA , USA |
| authorships[5].institutions[0].id | https://openalex.org/I79576946 |
| authorships[5].institutions[0].ror | https://ror.org/00b30xv10 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I79576946 |
| authorships[5].institutions[0].country_code | US |
| authorships[5].institutions[0].display_name | University of Pennsylvania |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Christos Davatzikos |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | University of Pennsylvania, USA , Philadelphia, PA , USA |
| authorships[6].author.id | https://openalex.org/A5063290790 |
| authorships[6].author.orcid | https://orcid.org/0000-0001-5119-7550 |
| authorships[6].author.display_name | Kenneth Aldape |
| authorships[6].countries | US |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I4210140884 |
| authorships[6].affiliations[0].raw_affiliation_string | Laboratory of Pathology, National Cancer Institute, NIH , Bethesda, MD , USA |
| authorships[6].institutions[0].id | https://openalex.org/I4210140884 |
| authorships[6].institutions[0].ror | https://ror.org/040gcmg81 |
| authorships[6].institutions[0].type | government |
| authorships[6].institutions[0].lineage | https://openalex.org/I1299022934, https://openalex.org/I1299303238, https://openalex.org/I4210140884 |
| authorships[6].institutions[0].country_code | US |
| authorships[6].institutions[0].display_name | National Cancer Institute |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Kenneth Aldape |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Laboratory of Pathology, National Cancer Institute, NIH , Bethesda, MD , USA |
| authorships[7].author.id | https://openalex.org/A5052402717 |
| authorships[7].author.orcid | https://orcid.org/0000-0003-4861-0898 |
| authorships[7].author.display_name | MacLean P. Nasrallah |
| authorships[7].countries | US |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I79576946 |
| authorships[7].affiliations[0].raw_affiliation_string | University of Pennsylvania , USA, Philadelphia , USA |
| authorships[7].institutions[0].id | https://openalex.org/I79576946 |
| authorships[7].institutions[0].ror | https://ror.org/00b30xv10 |
| authorships[7].institutions[0].type | education |
| authorships[7].institutions[0].lineage | https://openalex.org/I79576946 |
| authorships[7].institutions[0].country_code | US |
| authorships[7].institutions[0].display_name | University of Pennsylvania |
| authorships[7].author_position | last |
| authorships[7].raw_author_name | MacLean P Nasrallah |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | University of Pennsylvania , USA, Philadelphia , USA |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://pmc.ncbi.nlm.nih.gov/articles/PMC10639823/pdf/noad179.0489.pdf |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | EPCO-26. INTRATUMORAL HETEROGENEITY OF GBM IDENTIFIED AND CHARACTERIZED BY A MULTISAMPLING APPROACH AND METHYLATION PROFILING |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10269 |
| primary_topic.field.id | https://openalex.org/fields/13 |
| primary_topic.field.display_name | Biochemistry, Genetics and Molecular Biology |
| primary_topic.score | 0.9750000238418579 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1312 |
| primary_topic.subfield.display_name | Molecular Biology |
| primary_topic.display_name | Epigenetics and DNA Methylation |
| related_works | https://openalex.org/W2533209863, https://openalex.org/W2056639876, https://openalex.org/W1954558184, https://openalex.org/W4387811902, https://openalex.org/W2022367820, https://openalex.org/W2800722497, https://openalex.org/W122607557, https://openalex.org/W2099598908, https://openalex.org/W2006316372, https://openalex.org/W2728525472 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:pubmedcentral.nih.gov:10639823 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2764455111 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | PubMed Central |
| best_oa_location.source.host_organization | https://openalex.org/I1299303238 |
| best_oa_location.source.host_organization_name | National Institutes of Health |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I1299303238 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://pmc.ncbi.nlm.nih.gov/articles/PMC10639823/pdf/noad179.0489.pdf |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | Text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | Neuro Oncol |
| best_oa_location.landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/10639823 |
| primary_location.id | doi:10.1093/neuonc/noad179.0489 |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S106908163 |
| primary_location.source.issn | 1522-8517, 1523-5866 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1522-8517 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Neuro-Oncology |
| primary_location.source.host_organization | https://openalex.org/P4310311648 |
| primary_location.source.host_organization_name | Oxford University Press |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310311648, https://openalex.org/P4310311647 |
| primary_location.source.host_organization_lineage_names | Oxford University Press, University of Oxford |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Neuro-Oncology |
| primary_location.landing_page_url | https://doi.org/10.1093/neuonc/noad179.0489 |
| publication_date | 2023-11-01 |
| publication_year | 2023 |
| referenced_works_count | 0 |
| abstract_inverted_index.1 | 49 |
| abstract_inverted_index.6 | 63 |
| abstract_inverted_index.B | 130 |
| abstract_inverted_index.T | 118, 128 |
| abstract_inverted_index.a | 10, 52, 55, 112, 140 |
| abstract_inverted_index.14 | 78 |
| abstract_inverted_index.20 | 35, 44 |
| abstract_inverted_index.79 | 32 |
| abstract_inverted_index.To | 17 |
| abstract_inverted_index.at | 47 |
| abstract_inverted_index.be | 139, 212, 225 |
| abstract_inverted_index.in | 3, 83, 146, 247 |
| abstract_inverted_index.is | 5, 8, 264 |
| abstract_inverted_index.of | 13, 42, 103, 116, 126, 142, 199, 260 |
| abstract_inverted_index.on | 27, 201, 216, 226, 278 |
| abstract_inverted_index.or | 90 |
| abstract_inverted_index.to | 54, 70, 93, 163, 172, 195, 211, 224, 268 |
| abstract_inverted_index.we | 23, 150, 182 |
| abstract_inverted_index.CpG | 230 |
| abstract_inverted_index.DNA | 248 |
| abstract_inverted_index.GBM | 56, 73, 84 |
| abstract_inverted_index.and | 7, 120, 122, 132, 190, 214, 229 |
| abstract_inverted_index.can | 138 |
| abstract_inverted_index.did | 151 |
| abstract_inverted_index.due | 171, 267 |
| abstract_inverted_index.for | 31, 244 |
| abstract_inverted_index.had | 46, 158 |
| abstract_inverted_index.key | 11 |
| abstract_inverted_index.low | 135 |
| abstract_inverted_index.not | 152, 265 |
| abstract_inverted_index.our | 251 |
| abstract_inverted_index.the | 28, 38, 43, 71, 76, 108, 147, 155, 179, 184, 196, 202 |
| abstract_inverted_index.was | 170 |
| abstract_inverted_index.CD4+ | 127 |
| abstract_inverted_index.CD8+ | 117 |
| abstract_inverted_index.EPIC | 29 |
| abstract_inverted_index.Gene | 232 |
| abstract_inverted_index.each | 41 |
| abstract_inverted_index.find | 153 |
| abstract_inverted_index.from | 34 |
| abstract_inverted_index.gene | 227 |
| abstract_inverted_index.less | 222 |
| abstract_inverted_index.more | 18, 209 |
| abstract_inverted_index.most | 187 |
| abstract_inverted_index.same | 72 |
| abstract_inverted_index.than | 175 |
| abstract_inverted_index.that | 154, 167, 236, 263, 282 |
| abstract_inverted_index.they | 219 |
| abstract_inverted_index.this | 21, 168 |
| abstract_inverted_index.were | 207, 220, 242 |
| abstract_inverted_index.with | 51, 58, 86, 239, 274 |
| abstract_inverted_index.(30%) | 65 |
| abstract_inverted_index.(70%) | 80 |
| abstract_inverted_index.Among | 61 |
| abstract_inverted_index.Using | 37 |
| abstract_inverted_index.While | 134 |
| abstract_inverted_index.array | 30 |
| abstract_inverted_index.cases | 110 |
| abstract_inverted_index.cause | 141 |
| abstract_inverted_index.cells | 119, 131 |
| abstract_inverted_index.fully | 19 |
| abstract_inverted_index.genes | 237 |
| abstract_inverted_index.known | 6 |
| abstract_inverted_index.least | 48 |
| abstract_inverted_index.lower | 88, 124, 143, 159 |
| abstract_inverted_index.match | 53 |
| abstract_inverted_index.other | 174 |
| abstract_inverted_index.score | 68 |
| abstract_inverted_index.their | 192 |
| abstract_inverted_index.these | 98, 204, 240 |
| abstract_inverted_index.tumor | 136, 160, 176, 269 |
| abstract_inverted_index.using | 105 |
| abstract_inverted_index.while | 75 |
| abstract_inverted_index.Within | 178 |
| abstract_inverted_index.array, | 203 |
| abstract_inverted_index.cases, | 165 |
| abstract_inverted_index.cells, | 129 |
| abstract_inverted_index.common | 185 |
| abstract_inverted_index.either | 87 |
| abstract_inverted_index.glioma | 95 |
| abstract_inverted_index.groups | 102 |
| abstract_inverted_index.higher | 114 |
| abstract_inverted_index.likely | 210, 223 |
| abstract_inverted_index.probes | 189, 200, 206, 241 |
| abstract_inverted_index.purity | 137, 161 |
| abstract_inverted_index.region | 50 |
| abstract_inverted_index.score. | 60 |
| abstract_inverted_index.scores | 145 |
| abstract_inverted_index.showed | 66, 81, 111, 235 |
| abstract_inverted_index.simply | 266 |
| abstract_inverted_index.study. | 285 |
| abstract_inverted_index.these, | 62 |
| abstract_inverted_index.tumors | 45, 64, 79, 104, 157, 181 |
| abstract_inverted_index.versus | 100 |
| abstract_inverted_index.GBM’s | 14 |
| abstract_inverted_index.changes | 272 |
| abstract_inverted_index.factors | 173 |
| abstract_inverted_index.feature | 12 |
| abstract_inverted_index.further | 284 |
| abstract_inverted_index.genomic | 280 |
| abstract_inverted_index.located | 215 |
| abstract_inverted_index.matches | 69, 92 |
| abstract_inverted_index.overall | 197 |
| abstract_inverted_index.purity. | 177, 270 |
| abstract_inverted_index.regions | 33 |
| abstract_inverted_index.repair. | 249 |
| abstract_inverted_index.scores, | 89 |
| abstract_inverted_index.subtype | 57 |
| abstract_inverted_index.warrant | 283 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Compared | 194 |
| abstract_inverted_index.Overall, | 250 |
| abstract_inverted_index.analysis | 234, 255 |
| abstract_inverted_index.biologic | 258 |
| abstract_inverted_index.clinical | 15 |
| abstract_inverted_index.compared | 162 |
| abstract_inverted_index.converge | 277 |
| abstract_inverted_index.enriched | 243 |
| abstract_inverted_index.examined | 191 |
| abstract_inverted_index.involved | 246 |
| abstract_inverted_index.islands. | 231 |
| abstract_inverted_index.ontology | 233 |
| abstract_inverted_index.pathways | 245 |
| abstract_inverted_index.patterns | 281 |
| abstract_inverted_index.specific | 257, 279 |
| abstract_inverted_index.variable | 188 |
| abstract_inverted_index.Comparing | 97 |
| abstract_inverted_index.conducted | 24 |
| abstract_inverted_index.different | 94 |
| abstract_inverted_index.disparate | 91 |
| abstract_inverted_index.profiling | 26, 254 |
| abstract_inverted_index.promoters | 228 |
| abstract_inverted_index.remaining | 77 |
| abstract_inverted_index.subclass, | 74, 85 |
| abstract_inverted_index.subtypes. | 96 |
| abstract_inverted_index.Heidelberg | 39 |
| abstract_inverted_index.associated | 238, 273 |
| abstract_inverted_index.confidence | 144 |
| abstract_inverted_index.considered | 9 |
| abstract_inverted_index.correlates | 259 |
| abstract_inverted_index.enhancers. | 217 |
| abstract_inverted_index.identified | 183 |
| abstract_inverted_index.identifies | 256 |
| abstract_inverted_index.intergenic | 213 |
| abstract_inverted_index.microglia, | 121 |
| abstract_inverted_index.monocytes. | 133 |
| abstract_inverted_index.suggesting | 166 |
| abstract_inverted_index.Conversely, | 218 |
| abstract_inverted_index.Methylation | 271 |
| abstract_inverted_index.classifier, | 40, 149 |
| abstract_inverted_index.methylation | 25, 148, 253 |
| abstract_inverted_index.phenomenon, | 22 |
| abstract_inverted_index.proportions | 115, 125 |
| abstract_inverted_index.>0.84 | 59 |
| abstract_inverted_index.Intratumoral | 1 |
| abstract_inverted_index.characterize | 20 |
| abstract_inverted_index.distribution | 198 |
| abstract_inverted_index.glioblastoma | 4 |
| abstract_inverted_index.intratumoral | 261, 275 |
| abstract_inverted_index.heterogeneity | 2, 82, 169, 262, 276 |
| abstract_inverted_index.multisampling | 252 |
| abstract_inverted_index.significantly | 113, 123, 208, 221 |
| abstract_inverted_index.deconvolution, | 107 |
| abstract_inverted_index.glioblastomas. | 36 |
| abstract_inverted_index.intratumorally | 186 |
| abstract_inverted_index.aggressiveness. | 16 |
| abstract_inverted_index.methylCIBERSORT | 106 |
| abstract_inverted_index.characteristics. | 193 |
| abstract_inverted_index.homogeneous-high | 67 |
| abstract_inverted_index.subclass-homogeneous | 99, 164 |
| abstract_inverted_index.intratumoral-variable | 205 |
| abstract_inverted_index.subclass-heterogeneous | 101, 109, 156, 180 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 8 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/14 |
| sustainable_development_goals[0].score | 0.7200000286102295 |
| sustainable_development_goals[0].display_name | Life below water |
| citation_normalized_percentile.value | 0.61466495 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |