| Article Access Statistics | | | Viewed | 9514 | | | Printed | 289 | | | Emailed | 10 | | | PDF Downloaded | 224 | | | Comments | [Add] | | | Cited by others | 9 | | |
|
Click on image for details.
|
|
 |
| ORIGINAL ARTICLE |
|
|
|
| Year : 2011 | Volume
: 59
| Issue : 2 | Page : 204-207 |
Meningiomas: Correlation of Ki67 with histological grade
Sashidhar Babu1, Shantveer G Uppin1, Megha S Uppin1, Manas Kumar Panigrahi2, Vijay Saradhi3, Suchanda Bhattacharjee3, BP Sahu3, AK Purohit3, Sundaram Challa1
1 Department of Pathology, Nizam's Institute of Medical Sciences, Hyderabad, India
2 Department of Neurosurgey, Krishna Institute of Medical Sciences, Hyderabad, India
3 Department of Neurosurgey, Nizam's Institute of Medical Sciences, Hyderabad, India
| Date of Submission | 30-Aug-2010 |
| Date of Decision | 05-Oct-2010 |
| Date of Acceptance | 26-Dec-2010 |
| Date of Web Publication | 7-Apr-2011 |
Correspondence Address:
Sundaram Challa
Department of Pathology, Nizam's Institute Medical Sciences, Hyderabad - 500082, Andhra Pradesh
India
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/0028-3886.79140
Background : Meningiomas are slow-growing tumors. Grading of meningiomas based on histological features has certain limitations in predicting the exact biological behavior, necessitating ancillary techniques. Objective : To study the Ki67 labeling index (Ki67 LI) in various histological subtypes and grades of meningioma and correlate it with various parameters for recurrence. Material and Methods : All intracranial and intraspinal meningiomas diagnosed between 2005 and 2008 were graded according to WHO 2007 criteria. Immunohistochemistry was performed using Ki67 (Dako, USA 1:50) in 300 cases. Statistical analysis was performed. Results : There was female predominance. The age ranged from 2-75 years including 11 children below the age of 18 years. There were 211 Grade I, 78 Grade II and 11 Grade III meningiomas. The mean Ki67 LI increased from Grade I to II and from Grade II to III and these were statistically significant. The Ki67 LI was high for the subtypes of clear cell, chordoid, papillary and rhabdoid but there was no statistical significance between the subtypes. The difference in Ki67 LI between recurrent versus non-recurrent and brain-invasive versus non-invasive meningiomas was statistically significant. Conclusion : High Ki67 LI indicates higher grade of meningioma. The difference in KI67 LI between recurrent and non-recurrent meningiomas was statistically significant.
Keywords: Invasion, Ki67 labeling index, meningioma, recurrent, WHO 2007 criteria
How to cite this article:
Babu S, Uppin SG, Uppin MS, Panigrahi MK, Saradhi V, Bhattacharjee S, Sahu B P, Purohit A K, Challa S. Meningiomas: Correlation of Ki67 with histological grade. Neurol India 2011;59:204-7 |
How to cite this URL:
Babu S, Uppin SG, Uppin MS, Panigrahi MK, Saradhi V, Bhattacharjee S, Sahu B P, Purohit A K, Challa S. Meningiomas: Correlation of Ki67 with histological grade. Neurol India [serial online] 2011 [cited 2021 Jan 27];59:204-7. Available from: https://www.neurologyindia.com/text.asp?2011/59/2/204/79140 |
| » Introduction | |  |
Meningiomas are common primary central nervous system (CNS) tumors and account for about 30% of primary adult intracranial tumors. [1] They are usually slow-growing tumors with a female predominance. Meningiomas are classified into three grades according to World Health Organization (WHO) 2007. [2] The grading has implications on management. Grade I tumors are treated with surgery alone whereas Grade II and III are treated with surgery and radiotherapy. [3],[4] Despite complete total resection, 7-20% of benign (Grade I), 29-40% of atypical (Grade II), 50-78% of anaplastic (Grade III) meningiomas recur. [5] Grading system based on histopathological features has certain limitations in predicting the exact biological behavior of meningioma. The other factors implicated in tumor recurrence are extent of surgery, age, gender, location and brain invasion. [6],[7] Hence the use of ancillary techniques is necessitated to predict the tumor growth and recurrence. The net growth rate of a tumor is a balance between cell proliferation and apoptosis. Amongst the various techniques available to measure cell proliferation, Ki67 is the most widely used immunohistochemical marker. Ki-67 is a non-histone protein that is expressed in the proliferative phase of the cell cycle. It is a simple technique that can be applied on formalin-fixed paraffin-embedded sections.
In this paper, we studied Ki67 labeling index (LI) in the various histological subtypes and grades of meningioma and correlated it with the various parameters known for recurrence. To the best of our knowledge, this is the largest series from India including 300 meningiomas classified according to the WHO 2007 criteria and studied with Ki67 LI.
| » Material and Methods | | |
This was a retrospective study of patients with intracranial and intraspinal meningiomas diagnosed at the Department of Pathology during the period 2005-08. The study was approved by the institutional ethics committee. The medical records of the patients were reviewed and details of age, gender, clinical presentation, location and recurrence if any were noted. The histological sections were reviewed and all tumors were graded according to WHO criteria 2007. [2] Immunohisochemistry with epithelial membrane antigen (EMA) and vimentin was done in histological subtypes of chordoid, clear cell, papillary and rhabdoid meningioma using monoclonal antibodies (DAKO USA). Presence or absence of brain invasion was noted in all tumors. Meningiomas with brain invasion were classified as atypical (Grade II) meningiomas. Immunohistochemistry with Ki67 was performed in as many samples as possible.
Ki-67 immunohistochemistry technique
Sections of 5-micron thickness collected on poly-L-lysine coated slides were subjected to immunohistochemistry by indirect immunoperoxidase technique. Briefly, the sections were dewaxed in two changes each in xylene and alcohol and stabilized in 0.1 M phosphate buffer saline (PBS) solution. Antigen retrieval was performed by high-temperature unmasking using pressure cooker (125 o C for 30 sec at 25 lbs pressure). Sections were then cooled at room temperature and immersed in 3% methanol hydrogen peroxide for blocking endogenous peroxidase activity. Following blockage of non-specific binding sites using 3% casein, sections were incubated in primary antibody (Ki67, monoclonal antibody, 1:50, DAKO, USA) for 1 h, followed by incubation in secondary antibody for 30 min (Polymer detection kit, Biogenix, USA). Antigen-antibody complex was visualized by using diaminobenzidine as chromogen. Sections were counterstained with Harris Hematoxylin, dehydrated and mounted in DPX. At least 1000 nuclei were counted at high magnification (40Χ objective) without recounting same areas and the average was expressed as percentage. Foci of necrosis were excluded [Figure 1]. | Figure 1: Ki 67 labelling index in (a) grade I, (b) grade II and (c) grade III meningioma (×400)
Click here to view |
Statistical analysis
The statistical analysis done in this study was ANOVA (Analysis of variance between groups) and unpaired t test. The test is significant when P value is <0.05. The details of the test type used are mentioned in [Table 1] and [Table 2]. | Table 1: Ki67 index in all meningiomas with respect to age, gender, location and subtype
Click here to view |
 | Table 2: Significance of Ki67 LI with respect to gender, grade, location, recurrence and brain invasion
Click here to view |
| » Results | | |
There were 429 meningiomas diagnosed during the study period and immunohistochemistry with Ki67 was done in 300 samples. Further analysis was restricted to meningiomas where Ki67 LI was available. There were 115 males and 185 females. The age ranged from 2 to 75 years with mean age of 45.8 years. There were 11 children below the age of 18 years. Convexity was the commonest location. There were 211 Grade I, 78 Grade II and 11 Grade III meningiomas. Transitional meningioma was the commonest subtype of meningioma. Grade II meningiomas included four each of clear cell and chordoid and 70 atypical meningiomas. Grade III meningiomas included two papillary, one rhabdoid and eight anaplastic meningiomas. [Table 1] gives Ki67 LI in 300 meningiomas with respect to age, gender, location and histological subtype. There was female predominance and the mean age was in the fifth decade in all grades. In children, 8/11 (72.73%) meningiomas were atypical (Grade II). The mean grade-wise Ki67 LI for males versus females was not statistically significant [Table 2]. [Table 2] also gives significance of Ki67 LI in all meningiomas with respect to gender, location and recurrent tumors. The mean Ki67 LI increased from Grade I to II and from Grade II to III and this difference statistically significant. The Ki67 LI for histological subtypes chordoid, clear cell, papillary and rhabdoid was high but there was no statistical significance between the subtypes. There were 290 intracranial and 10 spinal meningiomas. Ki67 LI between intracranial and spinal meningiomas was not statistically significant and this could be attributed to the disproportion of numbers in the two groups. Convexity was the commonest location and transitional meningioma was the commonest subtype [Table 1]. Meningiomas at convexity, basal region, falx and parasagittal locations showed statistical significance with Ki67 LI grade-wise; however, at other locations; there was no statistical significance. There were 55 meningiomas showing brain invasion. These included 49 Grade II and six Grade III tumors. The mean Ki67 LI grade-wise for brain-invasive versus non-invasive tumors was statistically significant [Table 2]. There were 23 recurrent meningiomas. The mean Ki67 LI between recurrent and non-recurrent meningiomas was statistically significant [Table 2]. The Ki67 LI for meningiomas at initial surgery was not available.
| » Discussion | | |
Meningiomas most commonly occur in middle-aged and elderly patients with a female predominance. Meningiomas that occur in males and in children tend to behave aggressively and recur. There were conflicting reports in the literature about the influence of age and gender on the proliferative potential of meningiomas and recurrence. Ilidian et al, reported that age and gender has no influence on proliferative activity. [8] Kasuya et al, reported that male gender was an independent risk factor for high proliferative potential. [9] The mean Ki67 LI with respect to age and gender was not statistically significant in our series. Eight out of 11 tumors in children were Grade II tumors. Location was one of the factors implicated in recurrence. Meningiomas of the skull base and tumors close to major sinuses were reported to have a high proliferative index and were associated with recurrence. [8],[9] Tumors at convexity, basal region, falx, and parasagittal region showed statistical significance grade-wise with Ki67 LI. All spinal tumors in our series were Grade I and had Ki 67 LI in the range of 2.5000 ± 3.61 and none of them were recurrent.
Grade-I meningiomas constituted about 90%, Grade-II about 7% and Grade-III about 2% of the meningiomas in various reported series. [5],[6],[10],[11],[12] Our results were similar to the earlier reported series. Histopathologic grading is one of the important predictors of recurrence. Ki67 LI correlates with histological grade and recurrence. However, all the tumors in each grade do not behave uniformly. [9] Kasuya et al, reported that 56 out of 296 Grade-I tumors, 27 out of 28 Grade-II tumors and 17 out of 18 Grade-III tumors had MIB-1 staining index ≥ 3. [9] Ilidian et al, reported that atypical meningiomas were heterogeneous and had two groups i.e. tumors with low proliferative grade and tumors with high proliferative grade. [8] Increased MIB-1 labeling indices were associated with an increased risk of recurrence and emphasized that they can be used as an accessory to grading meningiomas. [13] The Ki67 LI increased with the grade of meningiomas and mean Ki67 LI between Grade I and II and I and III were statistically significant in our series. This is in agreement with other reported series. [4],[14] There was no statistically significant difference in the Ki67 LI between the histological subtypes in each grade in our series.
Brain invasion is defined as irregular tongue-like protrusions of tumor into brain parenchyma without leptomeninges. [11] Brain-invasive meningiomas are prognostically equivalent to Grade-II meningiomas and not all of them are histologically atypical. They tend to recur and behave like atypical meningiomas. [2] So all brain-invasive meningiomas were classified as atypical meningiomas according to the WHO 2007 classification of CNS tumors. The Ki67 LI was high in brain-invasive meningiomas when compared to noninvasive meningiomas and it was statistically significant [Table 2].
In our study there were 23 recurrent meningiomas. The Ki67 LI was not available at the time of initial surgery. The Ki 67 LI of recurrent tumors when correlated with that of non-recurrent tumors was statistically significant. In our study the majority of the recurrent tumors were Grade II. The mean Ki67 LI in recurrent tumors was 10.018±8.94 and in non-recurrent ones was 6.4580±6.29. Guarnaschelli et al, suggested that meningothelial meningiomas were the most common in benign recurrent meningiomas. [15] Perry et al, in a study of 62 cases of meningiomas suggested that Ki67 LI in excess of 4.2% was indicative of high tumor proliferation activity and recurrence. [5] Ho et al, suggested a cutoff value of 10 for Ki67 LI as the most accurate predictor of recurrence. [16] As Ki67 LI varies among individual laboratories, long-term follow-up studies are required to establish these values. Maes et al, studied recurrent and non-recurrent meningiomas with Ki67 and human telomerase catalytic submit (hTERT) and opined that Ki67 was a good marker of proliferation potential but not a good predictor of recurrence as no statistically significant differences were found between recurrent and non-recurrent meningiomas. [17] We have not correlated the extent of surgical resection and Ki67 LI as the number of recurrent tumors was small in our series. Extent of surgery is a very important and independent prognostic marker for recurrence. Currently, molecular characterization and gene profiling studies are underway to define the biological behavior of meningiomas. [13],[18] To conclude, high Ki67 LI indicates higher grade of meningioma and possible recurrence.
| » References | | |
| 1. | CBTRUS. Statistical Report: Primary brain tumors in the United States, 1998-2002. Publis. Tumor Registry of United States. 2005. 
|
| 2. | Perry A, Louis DN, Scheithauer BW, Budka H, Deimling VA. Meningiomas. In: Louis DN, Ohgaki H, Wiestler OD, Cavenee WK, editors. World Health Organization classification of the central nervous system. 2007. p. 164-72.
|
| 3. | Modha A, Gutin PH. Diagnosis and treatment of atypical and anaplastic meningiomas: A review. Neurosurgery 2005;57:538-50.
|
| 4. | Ragel B, Jensen RL. New approaches for the treatment of refractory meningiomas. Cancer Control 2003;10:148-58.
|
| 5. | Perry A, Scheithauer BW, Stafford SL, Lohse CM, Wollean PC. "Malignancy" in meningioma study of 116 patients, with grading implications. Cancer 1999;85:2046-56.
|
| 6. | Jaaskelainen J. Seemingly complete removal of histologically benign intracranial meningioma: Late recurrence rate and factors predisposing recurrence in 657 patients: A multivariate analysis. Surg Neurol 1986;26:461-9.
|
| 7. | Nakasu S, Nakasu Y, Nakajima M, Matsuda M, Handa J. Preoperative identification of meningiomas that are highly likely to recur. J Neurosurg 1999;90:455-62.
|
| 8. | Ildan F, Erman T, Göçer AI, Tuna M, Baðdatoðlu H, Cetinalp E, et al. Predicting the probability of meningioma recurrence in the preoperative and early postoperative period: A multivariate analysis in the midterm follow-up. Skull Base 2007;17:157-71.
|
| 9. | Kasuya H, Kubo O, Tanaka M, Amano K, Kato K, Hori T. Clinical and radiological features related to the growth potential of meningioma. Neurosurg Rev 2006;29:293-7.
|
| 10. | Maier H, Ofner D, Hittmair A, Kitz K, Budka H. Classic, atypical, and anaplastic meningioma: Three histopathological subtypes of clinical relevance. J Neurosurg 1992;77:616-23.
|
| 11. | Perry A, Stafford SL, Scheithauer BW, Suman VJ, Lohse CM. Meningioma grading: An analysis of histologic parameters. Am J Surg Pathol 1997;21:1455-65.
|
| 12. | Willis J, Smith C, Ironside JW, Erridge S, Whittle IR, Everington D. The accuracy of meningioma grading: A 10-year retrospective audit. Neuropathol Appl Neurobiol 2005;31:141-9.
|
| 13. | Louis DN, Scheithauer BW, Budka H, von Deimling A, Kepes JJ. Meningiomas. In: Kleihues P, Cavenee K, editors. WHO Classification of tumors, Pathology and Genetics, Tumors of the Nervous System. Lyon: IARC Press; 2000. p. 176-84.
|
| 14. | Carvalho LH, Smirnov I, Baia GS, Modrusan Z, Smith JS, Jun P, et al. Molecular signatures define two main classes of meningiomas Mol Cancer 2007;6:64.
|
| 15. | Guarnaschelli JJ, Stawicki SP. Brief communication: Recurrent brain meningiomas. OPUS 12 Scientist 2008;2:32-4.
|
| 16. | Ho DMT, Hsu CY, Ting LT, Chiang H. Histopathology and MIB-1 labeling index predicted recurrence of meningiomas. Cancer 2002;94:1538-47.
|
| 17. | Maes L, Kalala JP, Cornelissen R, de Ridder L. Telomerase activity and hTERT protein expression in meningiomas: An analysis in vivo versus in vitro. Anticancer Res 2006;26:2295-300.
|
| 18. | Watson MA, Gutmann DH, Peterson K, Chicoine MR, Kleinschmidt-DeMasters BK, Brown HG, et al. Molecular characterization of human meningiomas by gene expression profiling using high-density oligonucleotide microarrays. Am J Pathol 2002;161:665-72.
|
[Figure 1]
[Table 1], [Table 2]
| This article has been cited by | | 1 |
Bayesian model for detection and classification of meningioma nuclei in microscopic images |
|
| O. WIRJADI,Y.-J. KIM,F. STECH,L. BONFERT,M. WAGNER | | Journal of Microscopy. 2017; 265(2): 159 | | [Pubmed] | [DOI] | | | 2 |
Impaired oligodendroglial turnover is associated with myelin pathology in focal cortical dysplasia and tuberous sclerosis complex |
|
| Theresa Scholl,Angelika Mühlebner,Gerda Ricken,Victoria Gruber,Anna Fabing,Sharon Samueli,Gudrun Gröppel,Christian Dorfer,Thomas Czech,Johannes A. Hainfellner,Avanita S. Prabowo,Roy J. Reinten,Lisette Hoogendijk,Jasper J. Anink,Eleonora Aronica,Martha Feucht | | Brain Pathology. 2017; 27(6): 770 | | [Pubmed] | [DOI] | | | 3 |
Microsurgical Treatment of Meningiomas in the Torcular Herophili Region |
|
| Xuezhen Li,Xin He,Jianxing Niu,Changsheng Du,Jianzhen Wang | | Journal of Craniofacial Surgery. 2016; 27(2): e211 | | [Pubmed] | [DOI] | | | 4 |
Pathodiagnostic parameters and evaluation of O6– methyl guanine methyl transferase gene promoter methylation in meningiomas |
|
| Raheleh Jabini,Afshin Moradi,Sima Afsharnezhad,Hossein Ayatollahi,Javad Behravan,Hamid Reza Raziee,Fatemeh Mosaffa | | Gene. 2014; | | [Pubmed] | [DOI] | | | 5 |
Significance of COX-2 and VEGF expression in histopathologic grading and invasiveness of meningiomas |
|
| Sung Hak Lee,Youn Soo Lee,Yong Gil Hong,Chang Suk Kang | | APMIS. 2013; : n/a | | [Pubmed] | [DOI] | | | 6 |
An immunohistochemical study of HER2 expression in meningioma and its correlation with tumor grade |
|
| Parvin Mahzouni,Mohammad Movahedipour | | Pathology - Research and Practice. 2012; 208(4): 221 | | [Pubmed] | [DOI] | | | 7 |
An immunohistochemical study of HER2 expression in meningioma and its correlation with tumor grade |
|
| Mahzouni, P., Movahedipour, M. | | Pathology Research and Practice. 2012; 208(4): 221-224 | | [Pubmed] | | | 8 |
Status of Ki-67, estrogen and progesterone receptors in various subtypes of intracranial meningiomas |
|
| Fakhrjou, A. and Meshkini, A. and Shadrvan, S. | | Pakistan Journal of Biological Sciences. 2012; 15(11): 530-535 | | [Pubmed] | | | 9 |
Histologic features and MIB-1/Ki67 indices in atypical meningiomas (GII WHO) [Histologiczne kryteria diagnostyczne oponiaków atypowych (GII WHO) i ich zwia̧zek z potencjałem proliferacyjnym] |
|
| Józefowicz, M. and Papierz, W. | | Aktualnosci Neurologiczne. 2012; 12(2): 104-128 | | [Pubmed] | |
|
|
|
|
|
|
|
|
