Assessing Spatial Distribution of Multicellular Self-Assembly Enables the Prediction of Phenotypic Heterogeneity in Glioblastoma Article Swipe
Junghwa Cha
,
Woogwang Sim
,
Insung Yong
,
Junseong Park
,
Jin‐Kyoung Shim
,
Jong Hee Chang
,
Seok‐Gu Kang
,
Pilnam Kim
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/cancers14235910
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/cancers14235910
Phenotypic heterogeneity of glioblastomas is a leading determinant of therapeutic resistance and treatment failure. However, functional assessment of the heterogeneity of glioblastomas is lacking. We developed a self-assembly-based assessment system that predicts inter/intracellular heterogeneity and phenotype associations, such as cell proliferation, invasiveness, drug responses, and gene expression profiles. Under physical constraints for cellular interactions, mixed populations of glioblastoma cells are sorted to form a segregated architecture, depending on their preference for binding to cells of the same phenotype. Cells distributed at the periphery exhibit a reduced temozolomide (TMZ) response and are associated with poor patient survival, whereas cells in the core of the aggregates exhibit a significant response to TMZ. Our results suggest that the multicellular self-assembly pattern is indicative of the intertumoral and intra-patient heterogeneity of glioblastomas, and is predictive of the therapeutic response.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/cancers14235910
- https://www.mdpi.com/2072-6694/14/23/5910/pdf?version=1669783582
- OA Status
- gold
- Cited By
- 2
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4311009748
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4311009748Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/cancers14235910Digital Object Identifier
- Title
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Assessing Spatial Distribution of Multicellular Self-Assembly Enables the Prediction of Phenotypic Heterogeneity in GlioblastomaWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-11-30Full publication date if available
- Authors
-
Junghwa Cha, Woogwang Sim, Insung Yong, Junseong Park, Jin‐Kyoung Shim, Jong Hee Chang, Seok‐Gu Kang, Pilnam KimList of authors in order
- Landing page
-
https://doi.org/10.3390/cancers14235910Publisher landing page
- PDF URL
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https://www.mdpi.com/2072-6694/14/23/5910/pdf?version=1669783582Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2072-6694/14/23/5910/pdf?version=1669783582Direct OA link when available
- Concepts
-
Phenotype, Temozolomide, Genetic heterogeneity, Multicellular organism, Glioblastoma, Biology, Cancer research, Tumour heterogeneity, Cell, Computational biology, Gene, Cancer, GeneticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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34Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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