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Peer-reviewedCC BYCurrent oncology (Toronto, Ont.)

Nuclear Eccentricity as a Potential Biomarker for Tumor Biology and Survival in Glioblastoma.

  • Luna Han1
  • Teresia John1
  • Mohid Hassan1
  • Jonathan J Wisco1
  1. 1Department of Anatomy and Neurobiology, Boston University Aram V. Chobanian & Edward Avedisian School of Medicine, Boston, MA 02118, USA.
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Abstract

Purpose: To investigate whether quantitative nuclear morphology from routine H&E images can be used as a biomarker for glioblastoma (GBM) biology and prognosis. Methods: Nuclear eccentricity, circularity, density, and heterogeneity were measured from H&E whole-slide images in the TCGA-GBM cohort and independently validated in the CPTAC-GBM cohort. A multivariable Cox model was used to test the survival associations in both cohorts, and transcriptome-wide and gene set enrichment analyses were conducted in TCGA RNA data and validated using CPTAC RNA and proteomic data. Results: In TCGA-GBM, greater nuclear eccentricity was associated with better survival (HR, 0.85; 95% CI, 0.71-1.02; p = 0.089), with the same favorable association independently observed in CPTAC-GBM (HR, 0.74; 95% CI, 0.60-0.90; p = 0.003). No individual gene association with eccentricity was statistically significant in the TCGA cohort, but pathway analysis identified its association with epithelial-mesenchymal transition (EMT), inflammatory, hypoxic, and stress-related programs. Across the TCGA RNA, CPTAC RNA and proteomic datasets, greater eccentricity was consistently associated with increased NF-κB signaling, collagen biosynthesis, and ER-to-Golgi transport and decreased L1CAM-related and neuronal-projection programs, with EMT showing the strongest cross-cohort consistency. Conclusions: Nuclear eccentricity from patient H&E slide images is a potential biomarker associated with survival and transcriptional/translational programs in GBM. Integrating quantitative pathology with RNA and proteomic data may provide an accessible approach for GBM prognosis and tumor biology characterization.

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Cite

BibTeXRIS
BibTeX
@article{han2026nuclear,
  title = {{Nuclear Eccentricity as a Potential Biomarker for Tumor Biology and Survival in Glioblastoma.}},
  author = {Luna Han and Teresia John and Mohid Hassan and Jonathan J Wisco},
  journal = {Current oncology (Toronto, Ont.)},
  year = {2026},
  month = oct,
  doi = {10.3390/curroncol33100627},
  url = {https://europepmc.org/article/MED/42930194},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Nuclear Eccentricity as a Potential Biomarker for Tumor Biology and Survival in Glioblastoma.
AU  - Luna Han
AU  - Teresia John
AU  - Mohid Hassan
AU  - Jonathan J Wisco
PY  - 2026
DA  - 2026/10/17
JO  - Current oncology (Toronto, Ont.)
DO  - 10.3390/curroncol33100627
UR  - https://europepmc.org/article/MED/42930194
AB  - Purpose: To investigate whether quantitative nuclear morphology from routine H&E images can be used as a biomarker for glioblastoma (GBM) biology and prognosis. Methods: Nuclear eccentricity, circularity, density, and heterogeneity were measured from H&E whole-slide images in the TCGA-GBM cohort and independently validated in the CPTAC-GBM cohort. A multivariable Cox model was used to test the survival associations in both cohorts, and transcriptome-wide and gene set enrichment analyses were conducted in TCGA RNA data and validated using CPTAC RNA and proteomic data. Results: In TCGA-GBM, greater nuclear eccentricity was associated with better survival (HR, 0.85; 95% CI, 0.71-1.02; p = 0.089), with the same favorable association independently observed in CPTAC-GBM (HR, 0.74; 95% CI, 0.60-0.90; p = 0.003). No individual gene association with eccentricity was statistically significant in the TCGA cohort, but pathway analysis identified its association with epithelial-mesenchymal transition (EMT), inflammatory, hypoxic, and stress-related programs. Across the TCGA RNA, CPTAC RNA and proteomic datasets, greater eccentricity was consistently associated with increased NF-κB signaling, collagen biosynthesis, and ER-to-Golgi transport and decreased L1CAM-related and neuronal-projection programs, with EMT showing the strongest cross-cohort consistency. Conclusions: Nuclear eccentricity from patient H&E slide images is a potential biomarker associated with survival and transcriptional/translational programs in GBM. Integrating quantitative pathology with RNA and proteomic data may provide an accessible approach for GBM prognosis and tumor biology characterization.
SN  - 1198-0052
SN  - 1718-7729
ER  -