Histology-based expression profiling yields novel prognostic markers in human glioblastoma
- PMID: 16254489
- PMCID: PMC1557632
- DOI: 10.1097/01.jnen.0000186940.14779.90
Histology-based expression profiling yields novel prognostic markers in human glioblastoma
Abstract
Although the prognosis for patients with glioblastoma is poor, survival is variable, with some patients surviving longer than others. For this reason, there has been longstanding interest in the identification of prognostic markers for glioblastoma. We hypothesized that specific histologic features known to correlate with malignancy most likely express molecules that are directly related to the aggressive behavior of these tumors. We further hypothesized that such molecules could be used as biomarkers to predict behavior in a manner that might add prognostic power to sole histologic observation of the feature. We reasoned that perinecrotic tumor cell palisading, which denotes the most aggressive forms of malignant gliomas, would be a striking histologic feature on which to test this hypothesis. We therefore used laser capture microdissection and oligonucleotide arrays to detect molecules differentially expressed in perinecrotic palisades. A set of RNAs (including POFUT2, PTDSR, PLOD2, ATF5, and HK2) that were differentially expressed in 3 initially studied, microdissected glioblastomas also provided prognostic information in an independent set of 28 glioblastomas that did not all have perinecrotic palisades. On validation in a second, larger independent series, this approach could be applied to other human glioma types to derive tissue biomarkers that could offer ancillary prognostic and predictive information alongside standard histopathologic examination.
Figures



Similar articles
-
Gene expression profile of glioblastoma multiforme invasive phenotype points to new therapeutic targets.Neoplasia. 2005 Jan;7(1):7-16. doi: 10.1593/neo.04535. Neoplasia. 2005. PMID: 15720813 Free PMC article.
-
EZH2 is a negative prognostic factor and exhibits pro-oncogenic activity in glioblastoma.Cancer Lett. 2015 Jan 28;356(2 Pt B):929-36. doi: 10.1016/j.canlet.2014.11.003. Epub 2014 Nov 11. Cancer Lett. 2015. PMID: 25444902
-
Integrated analysis of 34 microarray datasets reveals CBX3 as a diagnostic and prognostic biomarker in glioblastoma.J Transl Med. 2019 May 28;17(1):179. doi: 10.1186/s12967-019-1930-3. J Transl Med. 2019. PMID: 31138312 Free PMC article.
-
Diagnostic markers for glioblastoma.Histol Histopathol. 2011 Oct;26(10):1327-41. doi: 10.14670/HH-26.1327. Histol Histopathol. 2011. PMID: 21870336 Review.
-
Neoplastic cell palisades and perinecrotic palisades in veterinary neuropathology.Vet Pathol. 2025 Apr 22:3009858251334345. doi: 10.1177/03009858251334345. Online ahead of print. Vet Pathol. 2025. PMID: 40259778 Review.
Cited by
-
Victory and defeat in the induction of a therapeutic response through vaccine therapy for human and canine brain tumors: a review of the state of the art.Crit Rev Immunol. 2014;34(5):399-432. doi: 10.1615/critrevimmunol.2014011577. Crit Rev Immunol. 2014. PMID: 25404047 Free PMC article. Review.
-
Procollagen Lysyl Hydroxylase 2 Expression Is Regulated by an Alternative Downstream Transforming Growth Factor β-1 Activation Mechanism.J Biol Chem. 2015 Nov 20;290(47):28465-28476. doi: 10.1074/jbc.M114.634311. Epub 2015 Oct 2. J Biol Chem. 2015. PMID: 26432637 Free PMC article.
-
The transcription factor ATF5: role in cellular differentiation, stress responses, and cancer.Oncotarget. 2017 Sep 20;8(48):84595-84609. doi: 10.18632/oncotarget.21102. eCollection 2017 Oct 13. Oncotarget. 2017. PMID: 29137451 Free PMC article. Review.
-
Deep learning links localized digital pathology phenotypes with transcriptional subtype and patient outcome in glioblastoma.Gigascience. 2024 Jan 2;13:giae057. doi: 10.1093/gigascience/giae057. Gigascience. 2024. PMID: 39185700 Free PMC article.
-
Intracranial glioblastoma models in preclinical neuro-oncology: neuropathological characterization and tumor progression.J Neurooncol. 2007 Nov;85(2):133-48. doi: 10.1007/s11060-007-9400-9. Epub 2007 Sep 15. J Neurooncol. 2007. PMID: 17874037 Free PMC article.
References
-
- Jaffe ES, Harris NL, Stein H, et al. World Health Organization Classification of Tumours of Haematopoietic and Lymphoid Tissues Lyon: WHO/IARC, 2001
-
- Fletcher CDM, Unni KK, Mertens F. World Health Organization Classification of Tumours of Soft Tissue and Bone Lyon: WHO/IARC, 2002
-
- Nutt CL, Mani DR, Betensky RA, et al. Gene expression-based classification of malignant gliomas correlates better with survival than histological classification. Cancer Res. 2003;63:1602–7. - PubMed
-
- Sasaki H, Zlatescu MC, Betensky RA, et al. Histopathological–molecular genetic correlations in referral pathologist-diagnosed low-grade ‘oligo-dendroglioma. ’ J Neuropathol Exp Neurol. 2002;61:58–63. - PubMed
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Molecular Biology Databases
Miscellaneous