2019, Number 5
<< Back Next >>
Gac Med Mex 2019; 155 (5)
Evaluación semicuantitativa de gliomas cerebrales en adultos: un enfoque de las características neuropatológicas
Rodríguez-Florido MA, Feria-Romero IA, Nettel-Rueda B, Guerrero-Cantera J, Orozco-Suárez S, Chavez JA, Guinto G, Grijalva I
Language: Spanish
References: 23
Page: 473-480
PDF size: 379.90 Kb.
ABSTRACT
Introduction: Gliomas are neoplasms with high recurrence and mortality. Due to the difficulty to apply the World Health
Organization (2016) classification, developing countries continue to use histological evaluation to diagnose and classify these
neoplasms.
Objective: To develop a semi-quantitative scale to numerically grade gliomas morphological characteristics.
Method: A cohort of patients with gliomas was assessed and followed for 36 months. Tumor tissue sections were analyzed
and graded, including aspects such as cell line, cellularity, nuclear pleomorphism, mitosis, endothelial hyperplasia, hypoxic
changes, apoptotic bodies, necrosis, hemorrhage and proliferation index.
Results: 58 cases were analyzed. Low-grade gliomas
median score was 12 points (9 and 13.5 for percentiles 25 and 75, respectively), whereas for high-grade gliomas it was
17 points (16 and 20.5 for percentiles 25 and 75, respectively) (p ‹ 0.0001). Thirty-six-month survival of patients with low
(13/17) and high grade gliomas (6/41) was also significantly different (p ‹ 0.0001).
Conclusions: The semi-quantitative
morphological scale allows an objective evaluation of gliomas, with an adequate correlation between the score, tumor grade
and survival time.
REFERENCES
Louis DN, Perry A, Reifenberger G, Von Deimling A, Figarella-Branger D, Cavenee WK, Ohgaki H, et al. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary. Acta Neuropathol. 2016;131:803-820. DOI: 10.1007/s00401-016-1545-1
Van den Bent MJ. Interobserver variation of the histopathological diagnosis in clinical trials on glioma: a clinician’s perspective. Acta Neuropathol. 2010;120:297-304.
Weller M, Wick W, Aldape K, Brada M, Berger M, Pfister SM, et al. Glioma. Nat Rev Dis Primers. 2015;1:15017.
Louis DN, Ohgaki H, Wiestler OD, Cavenee WK. WHO Classification of Tumours of the Central Nervous System. Francia: International Agency for Research on Cancer; 2007.
Aldape K, Simmons ML, Davis RL, Miike R, Wiencke J, Barger G, et al. Discrepancies in diagnoses of neuroepithelial neoplasms. Cancer. 2000;88:2342-2349.
Ostrom QT, Gittleman H, Fulop J, Liu M, Blanda R, Kromer C, et al. CBTRUS Statistical Report: primary brain and central nervous system tumors diagnosed in the United States in 2008-2012. Neuro Oncol. 2015;17:iv1-iv62.
Burger PC, Vollmer RT. Histologic factors of prognostic significance in the glioblastoma multiforme. Cancer. 1980;46:1179-1186.
Sharma S, Deb P. Intraoperative neurocytology of primary central nervous system neoplasia: a simplified and practical diagnostic approach. J Cytol. 2011;28:147-158.
Watanabe K, Tachibana O, Yonekawa Y, Kleiuhes P, Ohgaki H. Role of gemistocytes in astrocytoma progression. Lab Invest. 1997;76:277-284.
Thotakura M, Tirumalasetti N, Krishna R. Role of Ki-67 labeling index as an adjunct to the histopathological diagnosis and grading of astrocytomas. J Cancer Res Ther. 2014;10 641-645.
Acker T, Plate KH. Hypoxia and hypoxia inducible factors (HIF) as important regulators of tumor physiology. Cancer Treat Res. 2004;117:219-248.
Jhaveri N, Chen TC, Hofman FM. Tumor vasculature and glioma stem cells: contributions to glioma progression. Cancer Lett. 2016;380 545-551.
Chen L, Lin ZX, Lin GS, Zhou CF, Chen YP, Wang XF, et al. Classification of microvascular patterns via cluster analysis reveals their prognostic significance in glioblastoma. Hum Pathol. 2015;46:120-128.
Burger PC, Green SB. Patient age, histologic features, and length of survival in patients with glioblastoma multiforme. Cancer. 1987;59:1617-1625.
Brat DJ, Van Meir EG. Vaso-occlusive and prothrombotic mechanisms associated with tumor hypoxia, necrosis, and accelerated growth in glioblastoma. Lab Invest. 2004;84:397-405.
Rong Y, Durden DL, Van Meir EG, Brat DJ. “Pseudopalisading” necrosis in glioblastoma: a familiar morphologic feature that links vascular pathology, hypoxia, and angiogenesis. J Neuropathol Exp Neurol. 2006;65:529-539.
Ohgaki H, Kleihues P. The definition of primary and secondary glioblastoma. Clin Cancer Res. 2013;19:764-772.
Hao C, Beguinot F, Condorelli G, Trencia A, Van Meir EG, Yong VW, et al. Induction and intracellular regulation of tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) mediated apoptosis in human malignant glioma cells. Cancer Res. 2001;61:1162-1170.
Pignatti F, Van den-Bent M, Curran D, Debruyne C, Sylvester R, Therasse P, et al. Prognostic factors for survival in adult patients with cerebral low-grade glioma. J Clin Oncol. 2002;20:2076-2084.
Stupp R, Brada M, Van den-Bent MJ, Tonn JC, Pentheroudakis G, ESMO Guidelines Working Group. High-grade glioma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2014;25:iii93-iii101.
Adeberg S, Bostel T, König L, Welzel T, Debus J, Combs SE. A comparison of long-term survivors and short-term survivors with glioblastoma, subventricular zone involvement: a predictive factor for survival? Radiat Oncol. 2014;9:95.
Towner RA, Jensen RL, Colman H, Vaillant B, Smith N, Casteel R, et al. ELTD1, a potential new biomarker for gliomas. Neurosurgery. 2013;72:77-90.
Su J, Guo B, Zhang T, Wang K, Li X, Liang G. Stanniocalcin-1, a new biomarker of glioma progression, is associated with prognosis of patients. Tumour Biol. 2015;36 6333-6339.