Imbalance between apostain expression and proliferative index can predict survival in primary glioblastoma

Three-dimensional nuclear telomere architecture is associated with differential time to progression and overall survival in glioblastoma patients

The absence of biological markers allowing for the assessment of the evolution and prognosis of glioblastoma (GBM) is a major impediment to the clinical management of GBM patients. The observed variability in patients' treatment responses and in outcomes implies biological heterogeneity and the existence of unidentified patient categories. Here, we define for the first time three GBM patient categories with distinct and clinically predictive three-dimensional nuclear-telomeric architecture defined by telomere number, size, and frequency of telomeric aggregates. GBM patient samples were examined by three-dimensional fluorescent in situ hybridization of telomeres using two independent three-dimensional telomere-measurement tools (TeloView program [P(1)] and SpotScan system [P(2)]). These measurements identified three patients categories (categories 1-3), displaying significant differences in telomere numbers/nucleus (P(1) = .0275; P(2) <or= .0001), telomere length (P(1) and P(2) = .0275), and number of telomeric aggregates (P(1) = .0464; P(2) <or= .0001). These categories corresponded to patients with long-term, intermediate, and short-term survival, respectively (P = .0393). The time to progression analyses showed significant differences between the three categories (P = .0167). There was a correlation between time to progression, median survival, and nuclear telomere architecture. Our study suggests a link between patient outcome and three-dimensional nuclear-telomere organization and highlights the potential clinical power of telomere signatures as a new prognostic, predictive, and potentially pharmacodynamic biomarker in GBM. Furthermore, novel automated three-dimensional high-throughput scanning as developed here permits to obtain data from 300 nuclei in 20 minutes. This method is applicable to any cell type and scanning application.

Prognostic significance of the immunohistochemical index of survivin in glioma: a comparative study with the MIB-1 index

OBJECTIVE

Survivin has been identified as a protein expressed in cancer cells and a member of the inhibitor-of-apoptosis protein family. Recent studies suggest that the expression of survivin increases during the G2/M phase of the cell cycle, and may be used in clinical prognosis. We examined whether survivin expression in human gliomas would be a correlative of prognosis.

METHODS

We prepared polyclonal anti-survivin serum to establish a survivin index for stained sections, using an immunohistochemical procedure, according to the method used for scoring MIB-1 index, and then stained 29 paraffin-embedded sections from surgical specimens of 29 patients who were classified into three grades of World Health Organization with the mean age of low grade astocytoma (grade II) being 34.7; anaplastic astrocytoma (grade III), 48.8; and glioblastoma multiform (grade IV), 58.4.

RESULTS

On staining with the anti-survivin antiserum, all specimens contained positive cells, but the survivin index was heterogeneous among grades. The mean percentage of immunoreactive cells in each specimen was 70.0 (SD 18.2) in grade II, 81.3 (16.5) in grade III, and 85.0 (13.6) in grade IV. Then we compared the survivin index to the MIB-1 index and found that in low-grade gliomas (grade II and III), the difference in survival times between the high and low survivin indexes was significant (P=0.007), whereas that between the high and low MIB-1 indexes was not significant (P=0.092). ONCLUSION: Survivin is more sensitive marker than MIB-1 for the evaluation of low-grade gliomas in that it helps to predict patient survival. Much larger glioma patient series are needed to validate the findings of our limited study.

Relationship between apoptosis and proliferation in secondary tumors of the brain

A correlation between apoptosis and proliferation in astrocytomas and oligodendrogliomas, but not in glioblastomas, has been previously reported. An index for apoptosis and proliferation was established for each tumor in a series of 20 brain metastases, and its correlation was studied using the Spearman rank correlation test. Apoptosis index (AI) ranged between 1 and 78% (mean SD: 11.48+/-16.4). Proliferation index (PI) ranged between 2.4 and 21% (mean+/-SD: 8.23+/-4.8). When the relationship between AI and PI was studied, a clear correlation was found (r: 0.8965, 95% CI: 0.74-0.95; P < 0.0001). Therefore, it is concluded that a clear correlation exists between proliferation and apoptosis in secondary tumors of the brain.

Secreted Protein Acidic, Rich in Cysteine (SPARC), Mediates Cellular Survival of Gliomas through AKT Activation

Secreted protein acidic, rich in cysteine (SPARC), is an extracellular matrix protein expressed in many advanced cancers, including malignant gliomas. We and others have previously shown that human glioma cell lines engineered to overexpress SPARC adopt an invasive phenotype. We now show that SPARC expression increases cell survival under stress initiated by serum withdrawal through a decrease in apoptosis. Phosphatidylinositol 3-OH kinase/AKT is a potent pro-survival pathway that contributes to the malignancy of gliomas. Cells expressing SPARC display increased AKT activation with decreased caspase 3/7 activity. Exogenous SPARC rapidly induces AKT phosphorylation, an effect that is blocked by a neutralizing SPARC antibody. Furthermore, AKT activation is essential for the anti-apoptotic effects of SPARC as the decreased apoptosis and caspase activity associated with SPARC expression can be blocked with dominant-negative AKT or a specific AKT inhibitor. As tumor cells face stressful microenvironments particularly during the process of invasion, these results suggest that SPARC functions, in part, to promote tumor progression by enabling tumor cells to survive under stressful conditions.