The glioma proteome
Intracranial tumors comprise approximately 2% of all adult cancers, but form a larger fraction within the group of childhood tumors. Gliomas are tumors with an estimated origin from glial cells, accounting for approximately 80% of all malignant intracranial tumors. Gliomas are classified according to cell type of origin, differentiation and malignancy grade. Gliomas include astrocytoma, oligodendrocytoma and ependymoma, and are classified according to cell type of origin, differentiation and malignancy grade. Survival time after diagnosis with glioma varies significantly depending on grade. The prognosis for high-grade gliomas is poor due to limited possibilities of curative treatment.
The most common form of glioma is astrocytoma, representing approximately 50% of all gliomas. Grade IV astrocytoma, also known as glioblastoma or glioblastoma multiforme (GBM) is the most common and aggressive glioma with a very poor 5-year survival (less than 5%). There is currently no cure for GBM but it is normally treated with surgery followed by chemotherapy and radiotherapy to increase the length of survival.
Here, we explore the glioma proteome using TCGA transcriptomics data and antibody based protein data. 268 genes are suggested as prognostic based on transcriptomics data from 153 patients; 201 genes associated with unfavourable prognosis and 67 genes associated with favourable prognosis.
TCGA data analysis
In this metadata study we focused on the GBM data available from TCGA. The transcriptomics data was available from 153 patients; 54 female and 99 male, 30 were still alive and 123 patients deceased at the time of data collection. Information on stage distribution was missing.
Unfavourable prognostic genes in GBM
For unfavourable genes, higher relative expression levels at diagnosis gives significantly lower overall survival for the patients. There are 201 genes associated with unfavourable prognosis in GBM. In Table 1, the top 20 most significant genes related to unfavourable prognosis are listed.
REEP2 is a gene associated with unfavourable prognosis in GBM. The best separation is achieved by an expression cutoff at 38.3 fpkm which divides the patients into two groups with 0% 3-year survival for patients with high expression versus 10% for patients with low expression, p-value: 3.43e-4. Immunohistochemical staining using an antibody targeting REEP2 (HPA031813) shows differential expression pattern in glioma samples.
Table 1. The 20 genes with highest significance associated with unfavourable prognosis in GBM.
Favourable prognostic genes in GBM
For favourable genes, higher relative expression levels at diagnosis gives significantly higher overall survival for the patients. There are 67 genes associated with favourable prognosis in GBM. In Table 2, the top 20 most significant genes related to favourable prognosis are listed.
PHGDH is a gene associated with favourable prognosis in GBM. The best separation is achieved by an expression cutoff at 17.9 fpkm which divides the patients into two groups with 9% 3-year survival for patients with high expression versus 0% for patients with low expression, p-value: 2.26e-4. Immunohistochemical staining using an antibody targeting PHGDH (CAB003681) shows differential expression pattern in glioma samples.
Table 2. The 20 genes with highest significance associated with favourable prognosis in GBM.
The GBM transcriptome
The transcriptome analysis shows that 72% (n=14217) of all human genes (n=19670) are expressed in glioma. All genes were classified according to the glioma-specific expression into one of five different categories, based on the ratio between mRNA levels in glioma compared to the mRNA levels in the other 16 analyzed cancer tissues.
Figure 1. The distribution of all genes across the five categories based on transcript abundance in GBM as well as in all other cancer tissues.
682 genes show some level of elevated expression in glioma compared to other cancers (Figure 1). The elevated category is further subdivided into three categories as shown in Table 3.
Table 3. Number of genes in the subdivided categories of elevated expression in GBM.
The classification of gliomas is based on cell type, grade and location. Cell type classification is divided into 6 main categories; astrocytoma, oligodendrogliomas, brain stem gliomas, ependymomas, oligo-astrocytomas and optic pathway gliomas. Grade classification is divided inte low-grade (benign tendencies) and high-grade gliomas (malignant). Gliomas can also be classified according whether they are above or below the tentorium, a membrane in the brain that separates the cerebrum from the cerebellum. The classification is supertentorium (cerebrum) and infratentorium (cerebellum), there is also one more known as pontine tumors and is located in the brainstem.
Astrocytomas represent almost half of all brain tumors and are defined based on morphological features such as cellularity, nuclear atypia, mitotic rate, endothelial proliferation and necrosis.Astrocytomas are assigned to grades I-IV according to the current WHO classification system. These include pilocytic astrocytoma (Grade I), astrocytoma (Grade II), anaplastic astrocytoma (Grade III), and glioblastoma (Grade IV). The various forms of glioma are highly variable and several phenotypically different cell types exist, including gemistocytic glioma cells. Gemistocytic cells resemble a morphological alteration that can also be found in reactive astrocytes and is characterized by eosinophilic staining of a large, swollen cytoplasm.
Approximately 15% of gliomas are oligodendrogliomas. Histologically, oligodendrogliomas commonly show uniform cell architecture with increased numbers of delicate blood vessels. The tumor cell nuclei are mainly round and regular, and often surrounded by an artifactual perinuclear clearing that results in the so called "fried egg" appearance. High-grade oligodendrogliomas (anaplastic oligodendrogliomas) are recognized by features such as increased cellularity, mitotic activity and nuclear pleomorphism, as well as necrosis and endothelial proliferation.
The distinction between different forms of brain tumors is mainly based on morphological features, but immunohistochemistry plays an important role to distinguish between different tumor types, in particular when the tumor is poorly differentiated. In neuropathological diagnostics, antibodies directed towards proteins such as Glial Fibrillary Acidic Protein, Synaptophysin, EGFR, p53 and the proliferation marker Ki-67 are commonly used.
Relevant links and publications
Uhlen M et al, 2017. A pathology atlas of the human cancer transcriptome. Science.