The prognostic power of three proliferation estimation methods, Ki-67 (MIB-1) and PCNA immunohistochemistry, and flow cytometry (S-phase and S + G2/M fractions, respectively), were evaluated in 50 cases of astrocytoma. Each proliferation index showed a strong association with the grade of malignancy (grades I-IV). The MIB-1 labelling index (LI) provided additional information, as it could be used for the discrimination of grade II and grade III astrocytomas (P = 0.0357). All three proliferation estimation methods also had strong prognostic potential (MIB-1 LI: P < 0.0001; PCNA Li: P < 0.0001; S-phase: P = 0.0004; S + G2/M: P = 0.0124). According to the receiver operating characteristics (ROC) curve, the MIB-1 LI showed generally the best sensitivity and specificity in placing the patients correctly into groups of survivors and non-survivors, which was further confirmed in the multivariate analysis. Only 4 per cent of the patients having high MIB-1 scores (> 15.3 per cent) were alive after 2-years' follow-up. In contrast, 72 per cent of patients with tumours of low proliferation activity survived. It appears that Ki-67 (MIB-1) immunolabelling using archival paraffin-embedded samples is of value in predicting prognosis in astrocytic tumours.

The aim of the study was to evaluate the applicability of quantitative histopathology as an aid for grading diffusely infiltrating astrocytomas. Primary astrocytomas were analysed for parameters (mean nuclear size, mitosis count, area fraction of endothelial cells and tumour necrosis, area fraction of nuclei, and Ki-67 (MIB-1) labelling index), which are closely related to the World Health Organization (WHO) 1979 and WHO 1993 grading criteria. All estimates correlated with the WHO histopathological grade and patient outcome. According to the receiver-operating characteristics curve, the presence of tumour necrosis and mitosis count (cut-off at 3 mitoses/mm2 of neoplastic tissue) showed the best sensitivity and specificity in separating patients with different survival. The multivariate survival analyses confirmed this result. A decision-tree model was constructed based on these two variables: twig I with less than 3 mitoses/mm2, twig II with equal or more than 3 mitoses/mm2 but no necrosis, and twig III with tumour necrosis. This model was found to be more strongly associated with survival than the WHO 1979 or WHO 1993 grading schemes. Low-malignancy astrocytomas (WHO grade II or twig I tumours) could be further divided into two prognostic categories by the image cytometric DNA analysis. The results put an emphasis on astrocytoma grading on mitosis counts (grade II vs. III) and tumour necrosis (grade III vs. IV). To standardize the sampling for mitosis counting, it is suggested that a parallel Ki-67 immunostaining be used for the identification of the most proliferative areas.

Our results support the present view that loss of chromosome 22q harboring the NF2 gene plays a universal role in the pathogenesis of schwannomas without consistent involvement of other chromosomal regions.

Cell proliferation indices of 31 primary intracranial haemangiopericytomas (HPC) and their recurrences and metastases were correlated with the long-term recurrence, metastasis and survival rates. Paraffin-embedded specimens were used for K-67, PCNA and p53 immunostainings and for estimation of S-phase fraction (S-PF) in flow cytometry. The median Ki-67 and PCNA indices and S-PFs were 10.4, 3.2, and 4.0 for primary HPCs and 14.1, 14.1, and 5.5 for recurrences, respectively. High indices were associated with higher recurrence, metastasis and death rates, but not at the p < or = 0.5 level. Consequently, these indices do not seem useful in planning of treatment and follow-up of meningeal HPCs. Meningeal HPCs, in contrast to meningiomas, recur almost always despite seemingly complete removal and often metastasize elsewhere in the body. This difference between two sharply demarcated tumours must reflect particularly adhesive and infiltrative properties of HPC cells and not just higher proliferation potential.

Recent studies on astrocytic tumours demonstrated a close association between patient prognosis and neoplastic proliferation estimated by such methods as Ki-67 and bromodeoxyuridine labelling. Novel monoclonal PCNA antibodies and special antigen-retrieval techniques have the advantage of working on routinely fixed and embedded specimens and thus make the estimation of proliferation simpler. In addition to PCNA-positive cell count expressed in percentages (PCNA-LI), we estimated the number of PCNA-immunopositive cells count expressed in percentages (PCNA-LI), we estimated the number of PCNA-immunopositive cells of 83 astrocytomas in two ways: (1) per mm2 of neoplastic tissue (uncorrected PCNA index); and (2) per mm2 of total neoplastic nuclear area (corrected PCNA index). Both of these methods were reproducible and showed a good correlation with PCNA-LI and malignancy grade (I-IV). With quantitation methods 1 and 2, the proliferative status of about 2000 cells could be estimated in about 7-10 min, whereas the PCNA count by PCNA-LI of 200 cells took approximately the same time. The proliferation indices obtained by all three quantitation methods were highly significantly related to patient prognosis. The corrected PCNA index, having a close association with the neoplastic cellularity, even divided the glioblastoma group (grade IV) into two significantly different prognostic groups in which 56 and 17 per cent of the patients were alive after 1-year follow-up. The combination of PCNA immunohistochemistry and morphometry seems to give important prognostic information about astrocytomas independent of the histopathological grade.