Prognostic value of flow cytometry and correlation to some conventional prognostic factors: a retrospective study of archival specimens of 134 astrocytomas

1q/19p co-polysomy predicts longer survival in patients with astrocytic gliomas

Recently, we reported that 1q/19p co-polysomy predicted poor prognosis in oligodendroglial tumors. In this study, we aimed to retrospectively analyze the prognostic significance of 1q/19p polysomy in two large cohorts of astrocytic gliomas classified by the 2007 and 2016 WHO classification of tumors of the central nervous system. 1q/19p polysomy was detected using the FISH method, and factors that correlated with polysomy were analyzed by logistic regression. Survival analysis was used to identify independent prognostic factors correlated with survival. In the WHO₂₀₀₇ astrocytic glioma cohort (N=421), co-polysomy was associated with a younger age, whereas single polysomy was associated with higher tumor grades and a higher Ki-67 index (P<0.05). Co-polysomy predicted longer survival, and single polysomy predicted shorter survival (P<0.05). In multivariate analysis, co-polysomy maintained an independent prognostic impact on survival (P=0.001) after adjustment for age, KPS, grade, removal degree, tumor size, Ki-67 index, and IDH1/2. In the WHO₂₀₁₆ cohort (N=572), we validated the prognostic merit of co-polysomy after adjusting for related factors. In conclusion, 1q/19p co-polysomy added prognostic information in cases of astrocytic glioma and could be used for molecular stratification of this disease.

Prognostic Significance of Histologic and Cytometric Factors in Supratentorial Astrocytomas

There is no agreement in the literature on selecting the principal parameters that contribute to explain the different outcomes in supratentorial astrocytomas. Hence, we designed a global study using morphologic parameters and DNA quantification measured by flow cytometry (FCM) and image analysis (IA) on 116 tumors contrasting the results with patients' survival in a univariate and multivariate study. In the Kaplan-Meier study besides the necrosis (p<0.0001) there were other parameters with significant prognostic value such as nuclear atypia (p=0.0001), presence of anaplastic large cells (p=0.0003) and the morphology of the tumor vessels (p=0.009). Proliferative parameters like mitotic index, cell density, the cell fraction in S phase or G2/M phase, and the proliferative phase measured by image analysis (IA) or ploidy patterns did not influence the prognosis. In the Cox's proportional hazards model the presence of necrosis remained as the only prognostic predictor (p=0.001) and increased 5.9 times the risk of mortality in gliomas.

Immunohistochemical estimation of cell cycle entry and phase distribution in astrocytomas: applications in diagnostic neuropathology

An immunohistochemical method for assessing cell cycle phase distribution in neurosurgical biopsies would enable such data to be incorporated into diagnostic algorithms for the estimation of prognosis and response to adjuvant chemotherapy in glial neoplasms, without the requirement for flow cytometric analysis. Paraffin-embedded sections of intracerebral gliomas (n = 48), consisting of diffuse astrocytoma (n = 9), anaplastic astrocytoma (n = 8) and glioblastoma (n = 31), were analysed by immunohistochemistry using markers of cell cycle entry, Mcm-2 and Ki67, and putative markers of cell cycle phase, cyclins D1 (G1-phase), cyclin A (S-phase), cyclin B1 (G2-phase) and phosphohistone H3 (Mitosis). Double labelling confocal microscopy confirmed that the phase markers were infrequently coexpressed. Cell cycle estimations by immunohistochemistry were corroborated by flow cytometric analysis. There was a significant increase in Mcm-2 (P < 0.0001), Ki67 (P < 0.0001), cyclin A (P < 0.0001) and cyclin B1 (P = 0.002) expression with increasing grade from diffuse astrocytoma through anaplastic astrocytoma to glioblastoma, suggesting that any of these four markers has potential as a marker of tumour grade. In a subset of glioblastomas (n = 16) for which accurate clinical follow-up data were available, there was a suggestion that the cyclin A:Mcm-2 labelling fraction might predict a relatively favourable response to radical radiotherapy. These provisional findings, however, require confirmation by a larger study. We conclude that it is feasible to obtain detailed cell cycle data by immunohistochemical analysis of tissue biopsies. Such information may facilitate tumour grading and may enable information of prognostic value to be obtained in the routine diagnostic laboratory.

On-line flow cytometry for real-time surgical guidance

OBJECTIVE

This study tests the feasibility of using on-line analysis of tissue during surgical resection of brain tumors to provide biologically relevant information in a clinically relevant time frame to augment surgical decision making. For the purposes of establishing feasibility, we used measurement of deoxyribonucleic acid (DNA) content as the end point for analysis.

METHODS

We investigated the feasibility of interfacing an ultrasonic aspiration (USA) system with a flow cytometer (FC) capable of analyzing DNA content (DNA-FC). The sampling system design, tissue preparation requirements, and time requirements for each step of the on-line analysis system were determined using fresh beef brain tissue samples. We also compared DNA-FC measurements in 28 nonneoplastic human brain samples with DNA-FC measurements in specimens of 11 glioma patients obtained from central tumor regions and surgical margins after macroscopically gross total tumor removal to estimate the potential for analysis of a biological marker to influence surgical decision making.

RESULTS

With minimal modification, modern FC systems are fully capable of real-time, intraoperative analysis of USA specimens. The total time required for on-line analysis of USA specimens varies between 36 and 63 seconds; this time includes delivery from the tip of the USA to complete analysis of the specimen. Approximately 60% of this time is required for equilibration of the DNA stain. When compared with values for nonneoplastic human brain samples, 50% of samples (10 of 20) from macroscopically normal glioma surgical margins contained DNA-FC abnormalities potentially indicating residual tumor.

CONCLUSION

With an interface of existing technologies, DNA content of brain tissue samples can be analyzed in a meaningful time frame that has the potential to provide real-time information for surgical guidance. The identification of DNA content abnormalities in macroscopically normal tumor resection margins by DNA-FC supports the practical potential for on-line analysis of a tumor marker to guide surgical resections. The development of such a device would provide neurosurgeons with an objective method for intraoperative analysis of a clinically relevant biological parameter that can be measured in real time.

Flow cytometric characterization of tumor-associated macrophages in experimental gliomas

OBJECTIVE

Although microglia have been suggested to be a component of the inflammatory reaction to tumors of the central nervous system, their role in glioma biology remains unknown. One obstacle to studying the function of microglia is the inability to effectively separate them from macrophages. Because flow cytometry can effectively discern immune cells with similar surface antigens, we evaluated its role in characterizing the mononuclear cell infiltration in experimental gliomas.

METHODS

Freshly prepared rat C6, 9L, and RG-2 tumor specimens were labeled ex vivo with monoclonal antibodies against CD11b/c, CD45, and CD8a antigens and analyzed by flow cytometry. The extent of microglia (CD11b/c(high), CD45(low)), macrophage (CD11b/c(high), CD45(high)), and lymphocyte (CD11b/c(negative), CD45(high)) infiltration into tumors, tumor periphery, and contralateral tumor-free hemispheres was measured for each glioma type.

RESULTS

Microglia, which accounted for 13 to 34% of viable cells, were distributed throughout the central nervous system and were present in the tumors, tumor periphery, and contralateral tumor-free hemispheres. In contrast, macrophages were less prominent within the tumors and tumor periphery (4.2-12%) and were scarce in the contralateral tumor-free hemispheres (0.9-1.1%). Among the tumor types, RG-2 gliomas had the least microglia/macrophage infiltration. The frequency and the distribution pattern of lymphocytes also varied among tumor models. Whereas lymphocytes accounted for more than one-third of the cells in C6 and 9L tumors, they represented only 1% of cells in RG-2 gliomas.

CONCLUSION

More abundant than macrophages and scattered throughout the central nervous system, microglia account for a significant component of the inflammatory response to experimental gliomas. A better understanding of microglial function in gliomas may be important in the development of immunotherapy strategies.

Prognostic relevance of MIB-1 immunoreactivity, S-phase fraction, 5-bromo-2'-deoxyuridine labeling indices, and mitotic figures in gliomas

Prognostic relevance of cell proliferation markers was evaluated in 27 glioma patients. By 1) flow cytometry (FCM), i.e., S-phase fraction (SPF), and BrdUrd-labeling index (LIfcm); 2) immunohistochemistry (IHC), i.e., BrdUrd-labeling index (LIihc) and MIB-1 immunoreactivity (MIB-1 LIihc); and 3) histologic examination, i.e., the presence or absence of cells in mitoses, were assessed. A longer local progression free survival (LPFS) was significantly associated with low SPF, low LIfcm, and low MIB-1 LIihc. For LIihc, no significant association was found. LIfcm appeared to be a more promising prognosticator than MIB-1 LIihc. In comparison with this marker, the presence or absence of mitotic figures appeared to be an even stronger prognosticator. Prognostic significance of LIfcm appeared to be of importance in low-grade gliomas. The number of patients in our study is limited. Our findings were: 1) the presence or absence of cells in mitoses (M-phase activity) appeared to be of more prognostic significance than LIfcm (S-phase activity) and MIB-1 LIihc (non-G0-phase activity); 2) of the tested experimental cell proliferation markers, LIfcm appeared to be of more prognostic significance than MIB-1 LIihc, SPF, and LIihc; and 3) LIfcm is likely to be an important prognosticator in low-grade gliomas and is, therefore, not definitive and only of potential interest.

Clinicopathologic study of 85 similarly treated patients with anaplastic astrocytic tumors. An analysis of DNA content (ploidy), cellular proliferation, and p53 expression

BACKGROUND

The biologic behavior of anaplastic (World Health Organization Grade III) astrocytomas and oligoastrocytomas is highly variable, ranging from rapid progression to prolonged survival. It is difficult to predict the outcome of an individual patient based on morphology alone.

METHODS

To determine the prognostic value of commonly used clinicopathologic markers, we reviewed our experience with 85 similarly treated patients enrolled in 3 North Central Cancer Treatment Group high grade glioma protocols. The pathology was comprised exclusively of primary anaplastic astrocytic tumors (66 astrocytomas and 19 oligoastrocytomas). Variables examined included patient age, morphologic type, preoperative performance score, extent of surgery, solitary versus multiple mitoses, DNA flow cytometric and image morphometric parameters, and expression of proliferating cell nuclear antigen, MIB-1, and p53 expression.

RESULTS

The study was comprised of 48 men and 37 women ranging in age from 14-79 years (median age, 47 years). Overall survival ranged from <1 month to >12 years (median, 21.6 months). Statistical analyses revealed that age accounted for the majority of this extensive variability in survival. The median survival times were 65. 5 months, 22.1 months, and 4.4 months, respectively, for the groups <40 years, 40-59 years, and >/=60 years, respectively (P < 0.0001). On univariate analyses, aneuploidy by flow cytometry and a low performance score also predicted a better survival (P values of 0.04 and 0.009, respectively). Statistical trends predicting a better survival were observed for patients with a solitary mitosis and p53 immunopositivity. However, only patient age remained significant in multivariate models.

CONCLUSIONS

In a small but relatively uniformly treated cohort of patients with anaplastic astrocytomas and oligoastrocytomas, patient age was associated strongly and inversely with overall survival. Once patient age was taken into account, the clinical and pathologic markers tested appeared to be of limited prognostic value.