Literature DB >> 9075781

Study of the DNA content by flow cytometry and proliferation in 281 brain tumors.

R García1, A Bueno, S Castañon, P Ruiz-Barnes, J Maria de Campos, E Kusak, J R Fortes, F Ortiz, J L Sarasa.   

Abstract

In this paper we investigate the distribution of DNA ploidy as well as proliferation rate (S phase of the cell cycle Ki-67 staining) in 281 tumors of the central and peripheral nervous system (87 meningiomas, 75 astrocytomas, 44 nerve sheath tumors, 25 brain metastases, 18 pituitary adenomas, 17 ependymomas, 12 oligodendrogliomas and 3 medulloblastomas) and their correlation with the histopathological grade. Considering all 281 tumors, aneuploidy is the most frequent finding present: 52%. This percentage increases with malignancy: 69% of malignant tumors are aneuploidy. Levels of aneuploidy decrease from brain metastases to pituitary adenoma (92% in brain metastases, 83% in oligodendrogliomas, 59% in nerve sheath tumors, 47% in ependymomas, 40% in astrocytomas, 35% in meningiomas and 33% in pituitary adenomas), but aneuploidy is also found in many benign tumors. With respect to proliferation rate of tumors, S phase above 20% were recorded in the more malignant tumors: brain metastases, oligodendrogliomas, high-grade ependymomas, high grade astrocytomas, and in atypical and malignant meningiomas, but this parameter is not able to distinguish between low and high grade tumors. However, Ki-67 reactivity was equivalent in all histologies with significant differences between low and high grade tumors.

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Year:  1997        PMID: 9075781     DOI: 10.1159/000227673

Source DB:  PubMed          Journal:  Oncology        ISSN: 0030-2414            Impact factor:   2.935


  3 in total

1.  DNA-flow cytometry of 207 pituitary adenomas: ploidy, proliferation, and prognosis.

Authors:  A L O Machado; P Nomikos; F Kiesewetter; R Fahlbusch; M Buchfelder
Journal:  J Endocrinol Invest       Date:  2005-10       Impact factor: 4.256

Review 2.  Techniques to assess the proliferative potential of brain tumors.

Authors:  Alfredo Quiñones-Hinojosa; Nader Sanai; Justin S Smith; Michael W McDermott
Journal:  J Neurooncol       Date:  2005-08       Impact factor: 4.130

Review 3.  Prognostic indicators in pituitary tumors.

Authors:  Agustinus Suhardja; Kalman Kovacs; Oded Greenberg; Bernd W Scheithauer; Ricardo V Lloyd
Journal:  Endocr Pathol       Date:  2005       Impact factor: 4.056

  3 in total

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