Submit Your Article CMED MEACR meeting
An official publication of the Middle-Eastern Association for Cancer Research
Clinical Cancer Investigation Journal
ISSN Print: 2278-1668, Online: 2278-0513
ARTICLE
Year: 2023   |   Volume: 12   |   Issue: 3   |   Page: 1-5     View issue

Role of Ki-67 as an Adjunct to Histopathological Diagnosis in the Grading of Astrocytic Tumors

 

Namita Singh1, Prita Pradhan1*, Ranjana Giri1, Diptiranjan Satapathy2

1Department of Pathology, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India-751024. 2Department of Neurosurgery, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India-751024.


Abstract

The Ki-67 Labelling Index (LI) is used as an ancillary tool to assess cell proliferation activity in glioma diagnosis. It is a potent biologic marker that estimates the growth of neoplasm and thus will aid in identifying the prognosis in patients with glioma. To study the expression of Ki-67 in astrocytic tumors and its correlation with clinicopathological parameters. Clinico-radiological details of forty-three cases of glioma were documented. H&E slides were reviewed for histopathological grade and morphology. KI-67 Labelling Index was studied by immunohistochemical analysis at ‘hot-spot’ areas. Cases were segregated into high and low grades taking 4% as a cut-off as per WHO criteria. Statistical analysis was carried out using standard statistical software with a p-value of ≤ 0.05 taken as statistically significant. A total of 43 patients were included comprising 31 males and 12 females with a mean age of 46.14 years. Ki-67 labeling index showed a statistically significant relationship with the advanced age (p=0.01), higher histological grade (p=<0.00001), presence of cellular atypia (p=0.0002), necrosis (p=<0.00001), and microvascular proliferation (p=<0.00001). Ki-67 assessment supplements standard histopathological grading. It is a simple and reliable method. This study demonstrates that it can serve as an important prognostic marker. It can be used as an adjunct to histopathological diagnosis.

Keywords: Astrocytic tumors, Ki-67, Grade, Atypia


Introduction

Gliomas are common malignancies of the central nervous system(CNS).[1, 2] Scholzer and Gerdes discovered the Ki-67 antigen in the early 1980s, which expresses two protein variants with molecular weights of 345 and 395 kDa.[3] It is present at all active cell cycle phases (G1,S,G2, and M) but absent in resting cells (G0).[4, 5] In the later stages of mitosis significant decrease in Ki-67 (during anaphase and telophase) levels takes place.[6] The Ki-67protein (pKi-67) expression has been linked to the proliferation of intrinsic cell components in malignant tumors enabling its use as a measure of tumor aggressiveness.[7, 8]

The cell cycle's advancement, changes in cellular distribution, interphase, and process of cell mitosis are all regulated by the expression of Ki-67.[9] Ki-67 is utilized in diffuse astrocytic tumors as a biomarker of tumor cell proliferation that forecasts the biological characteristics of the tumor and the patient's prognosis.[10, 11] Low-grade astrocytomas have a considerably different mean Ki-67 LI compared to anaplastic astrocytomas and glioblastoma.[12]

 


Glial cell proliferation is the foundation of gliomagenesis.[13, 14] It is well established that histological grading can be used to assess a patient prognosis in CNS neoplasm but histological differentiation in glioma may not always be evident, particularly when tiny tissue pieces from stereotactic guided needle biopsies are available.[15, 16] Proliferation indices have thus been utilized for prognostic purposes in both disease progression and patient survival.[17, 18] The MIB-1 antibody recognizes the Ki-67 antigen in formalin-treated paraffin-embedded tissue.[3, 19] Classification and prognosis of astrocytomas have been determined using the MIB-1antibody because in order to predict tumor behavior, it is crucial to develop better prognostic markers. [20, 21]

 

Evaluation of the tumor's proliferative index (Ki-67) is one such complementary method.[22] Among the many useful biological markers available, the proliferative index provides a quantitative measure of tumor proliferation.[23] Several techniques have been used to calculate the

 

proliferative index of malignancies in the CNS. In this group, the Ki-67 labeling index stands out as one of the most effective techniques for many human malignancies, particularly brain neoplasm. Numerous studies have demonstrated the value of Ki-67 LI in assessing cell proliferation.[24]

Materials and Methods

The study was conducted in the Department of Pathology, over two years between September 2020 to August 2022 after approval from the Institute Review Board as well as Institute Ethical Committee, as per the Declaration of Helsinki. Before, the initiation of the study, informed consent was taken from all the participants whose biopsies were considered for the study. Formalin-fixed paraffin-embedded (FFPE) blocks of histopathologically proven cases of glial tumors were included both prospectively and retrospectively from the archives. Inadequate and poorly-fixed tissues were excluded from the study. After taking informed consent, detailed clinical and radiological information was documented.

Consecutive H&E sections slides were reviewed for histomorphological features including-histological type and grade of tumors, degree of cellularity, atypia, mitosis, presence of necrosis, and microvascular proliferation. Grade I and Grade II tumors were referred to as low-grade tumors, while Grade III and Grade IV were tumors referred to as high-grade tumors. The corresponding sections from paraffin block with a viable tumor in highly cellular areas (including necrosis if present) were chosen for IHC.

Immunohistochemical analysis

IHC for Ki-67 was performed on deparaffinized sections taken on albumin-coated slides using two-step indirect methods. Prediluted ready-to-use Ki-67 monoclonal antibody CAT-P-K001-30 (Clone QR015, Berlin, Germany) was used. Placenta tissue was taken as a positive control. For negative control, the same sections were used by omitting the primary antibody step. The observations were taken independently by two pathologists blinded to the clinical details. The discrepant cases were reviewed and evaluated over a multiheaded microscope with an expert for consensus observations.

Evaluation of Ki-67

A hot spot (area with the highest density of immunostained nuclei) was selected and adjacent fields were counted to include 1000 nuclei. Distinct nuclear staining of tumor cells was recorded as positive. Ki-67 labelling index was recorded as a ‘percentage’ of positively stained nuclei in 1000 tumor cells. The Ki-67 cut-off value given by WHO for glioma is less than 4% for low-grade gliomas and more than or equal to 5% for high-grade gliomas. We categorically divided Ki-67 expression into low and high expression taking 4% as cut off.

Statistical analysis

For statistical analysis, data were entered into a Microsoft Excel spreadsheet in 2010. Quantitative data were expressed as range, mean±SD, or median. The categorical variables were analyzed using Pearson’s chi-square test or Fisher’s exact test. Statistical analysis was carried out using Microsoft Excel spreadsheet 2010, GraphPad QuickCalcs ©2021 GraphPad Software, and Social Science Statistics©2021 Jeremy Stangroom. A p-value of ≤ 0.05 was taken as statistically significant.

Results and Discussion

A total of 43 patients were included with a Mean age of 46.14y with M:F=2.5:1. Tumours most frequently involved the frontal lobe (12/43) with 15low-grade gliomas comprising pilocytic and diffuse astrocytoma (11/43) 25% (Figure 1).

a)

b)

c)

d)

Figure 1. Showing different grades of glial tumors encountered in the study. a) Grade I-Pilocytic Astrocytoma. (H&E,400X); b) Grade II- Diffuse Astrocytoma.(H&E,100X); c) Grade III- Anaplastic Astrocytoma.(H&E,400X), d) Grade IV-Glioblastoma (H&E, 100X)

Ki-67 expression in glioma

The Ki-67 LI was found to be in 95.3% of cases ranging from 0-80% (Mean: 22.65±24.28%) with strong nuclear positivity. Low Ki-67(<4%) was seen in 14 out of 43 cases (32.6%). The correlation of Ki-67 with the clinicopathological parameters is summarized in Table 1.

Ki-67 LI showed a statistically significant relationship with age, histomorphological grade, presence of cellular atypia, necrosis, and microvascular proliferation (Table 1). Higher Ki-67 LI was associated with higher age of the patient, higher histologic grade, and a greater degree of cellular atypia (Figure 2).

Table 1. Correlation of PD-L1 and Ki-67 with clinicopathological parameters

Sl. No.

Parameters

Category (n)

Ki-67 expression

‘p’-

value

Low

High

1.

Age (years)

<46 (19)

10

09

0.01

>46 (24)

04

20

2.

Cellularity

Reduced (27)

13

17

0.22

Increased (16)

04

12

3.

Atypia

Minimal(12)

09

03

0.0002

Marked (31)

05

26

4.

MVP**

Absence (19)

13

06

<0.00001

Noted (24)

01

23

5.

Necrosis

Absence (19)

13

06

<0.00001

Presence (24)

01

23

6.

Histologic Grade(WHO)

Grade I/Grade II (15)

12

03

<0.00001

Grade III/Grade IV (28)

02

26

*MVP=Microvascular proliferation.

a)

b)

Figure 2. Ki-67LI showing low (<4%) nuclear expression, a) in a case of low-grade glial tumor (Pilocytic Astrocytoma, WHO Grade I) while a case of glioblastoma (WHO grade IV)shows higher (>4%) nuclear staining in b) (IHC for Ki-67, A,B:100X)

 

Ki-67 is a biological marker thatis used for grading astrocytoma. It estimates the growth of neoplasm quantitatively as well as predicts the progress accurately. Through qualitative and quantitative estimation of mitosis is important to know the proliferative rate of all tumors but in CNS tumors the mitotic rate is very less and difficult to quantify accurately also. A variety of methods have been used to know the proliferative rate in CNS tumors. Out of these, the most widely used is based on immunohistochemistry with Ki-67. Ki-67 has been established to be a standalone indicator of tumor development and prognosis inglioma patients.[25, 26] HGG (WHO grade III/IV) has a much higher Ki-67 labeling index thanLow-grade glioma (LGG) (WHO grade I/II).[27] Therefore, although histological grade and clinical characteristics are significant prognostic factors in astrocytomas, Ki-67 LI can be utilized in addition to histopathological diagnosis when clinical characteristics and histomorphological grade do not correlate with one another.[10]

Skjulsvik et al. in 2014 studied KI-67 immunostaining in a cohort study of glioma in 267 cases. They observed that Ki-67 expression for high-grade gliomas (grade III/IV) was significantly higher than in low-grade (grade I/II) tumors.[26] Authors who studied the role of immunohistochemical markers p53 and Ki-67 in the grading of glial tumors in a statistically significant rise in Ki67 with grade.[28] Hu et al. in 2013 studied the expression of p53, epidermal growth factor receptor, Ki-67, and O6-methylguanine-DNA methyltransferase in human gliomas and also found that the rate of cell proliferation (Ki-67) increased significantly with the gliomas grade. A statistically significant difference was observed among all WHO grades.[29] Thotakura et al. in 2014 studied the role of the Ki-67 labeling index as an adjunct to the histopathological diagnosis and grading of astrocytomas in cases of astrocytoma and found that mean Ki-67 LI in Grade I astrocytomas was 3.36 ± 4.59 standard deviation (SD), 7.05 ± 4.16 SD in Grade II astrocytomas, 28.24 ± 6.23 SD in Grade III astrocytomas and 38.7 ± 7.19 SD in Grade IV astrocytomas. P values were significant between all grades of astrocytomas except between Grade I and Grade II tumors.[10]

Prior studies have shown that the protein Ki-67 is greatly expressed in glioma cells, however, not in normal brain tissue, therefore, the degree of positive expression increases as the tumor develops.[30] In addition to complementing postoperative pathology in the prediction of tumor biological behavior, the identification of the Ki-67 antigen may be utilized to determine the grade of glioma.[31] Ki-67 is seen in dividing cells and offers an indicator of cellular replication.[30, 32] Tumor progression is facilitated by stem cells which is a part of the epithelial-mesenchymal transition (EMT).[33] Ki 67expression has been documented in stem cells further reinforcing the same.[34] Studies have highlighted that higher Ki-67 in gliomas increases the severity of malignancy. It helps in grading as well as prognostication. Also, solid malignancies are accompanied by chronic inflammation and raised CRP which is associated with high lymphocyte levels.[35] High Ki-67 levels are associated with poor prognosis and may respond to immunotherapeutic intervention.[3] Ki-67 is seen in dividing cells and offers an indicator of proliferation.[30, 36] Studies have highlighted higher Ki-67 in the gliomas increases the severity of malignancy. Prognostic markers are of relevance for glioblastoma, particularly for survival. Few authors who have studied Ki-67 LI in gliomas have found Ki-67 to be associated with an increase in grade, but they did not show a significant association with isocitrate dehydrogenase (IDH) or with survival.[37]  However, few authors have correlated the Ki-67 LI with the volume of the edema zone in radiology.[38]

Morphologic grading of gliomas is fraught with limitations especially due to heterogeneity leading to sampling bias in small biopsy specimens. Ki-67 LI offers a more unified grade for the assessment. Though the Ki-67 LI may also be high in cases of reactive gliosis, p53 expression in conjunction with morphological parameters and IDH mutation studies can help in arriving at a definitive diagnosis.[38] Several pre- and analytical factors affect the grading of gliomas ranging from technical factors like the tissue and paraffin block quality to the IHC procedure and interpretation. There are no unified guidelines available for the Ki-67 LI assessment and there are various methods for it. Theresia et al. who used a method similar to the present study have highlighted the low inter-observer variability while counting 1000 cells.[13] The authors also mention that though the common practice is to use the manual hotspot technique, as done in the present study, the average of the entire slide is a better approach. The reason for the same as discussed is the lack of certainty that the actual hotspot exists in the supplied tissue. The present study holds merit in a reliable and reproducible method of Ki-67 LI and is limited by the lack of survival data and a low number of cases per category for statistical analysis.

Conclusion

Gliomas, unlike breast cancer, have no screening methods for early diagnosis and treatment.[39] It can be concluded from the present study that the Ki-67 Proliferation index correlates significantly with higher age, higher histological grade, and a greater degree of cellular atypia. Clinical parameters and histopathological grade are important prognostic indicators, however, Ki-67 can be used as an adjunct to histopathological diagnosis where there is discordant among clinical parameters and histopathological grade, especially in small biopsies.

Acknowledgments

None.

Conflict of interest

None.

Financial support

None.

Ethics statement

The study was approved by the Institutional Ethics Committee (IEC) and informed consent was taken from all participants (IEC 493 /2020).

References

  1. Alshareef AA, Ibrahim M. Probable toxicity of benzene inhalation on nervous system and blood image of gas station workers. J Biochem Technol. 2020;10(72):71-6.
  2. Samir D, Naouel A, Safa G. Assessment of hematological parameters, enzymes activities, and oxidative stress‎ markers in salivary and blood of algerian breast cancer patients receiving‎ chemotherapy. J Biochem Technol. 2019;10(4):50-8.
  3. Scholzen T, Gerdes J. The Ki-67 protein: From the known and the unknown. J Cell Physiol. 2000;182(3):311-22.
  4. Shirendeb U, HishikawaY, Moriyama S, Win N, Thu MM, Mar KS, et al. Human papilloma virus infection and its possible correlation with p63 expression in cervical cancer in Japan, Mongolia, and Myanmar. Acta Histochem Cytochem. 2009;42(6):181-90.
  5. Hooghe B, Hulpiau P, Van Roy F, De Bleser PD. ConTra: A promoter alignment analysis tool for identification of transcription factor binding sites across species. Nucleic Acids Res. 2008;36(suppl_2):128-32.
  6. Modlin IM, Moss SF, Chung DC, Jensen RT, Snyderwine E. Priorities for improving the management of gastroenteropancreatic neuroendocrine tumors. J Natl Cancer Inst. 2008;100(18):1282-9.
  7. Klöppel G, Perren A, Heitz PU. The gastroenteropancreatic neuroendocrine cell system and its tumors: The WHO classification. Ann N YAcad Sci. 2004;1014(1):13-27.
  8. Brown DC, Gatter KC. Ki67 protein: The immaculate deception? Histopathology. 2002;40(1):2-11.
  9. Sun X, Kaufman PD. Ki-67: More than a proliferation marker. Chromosoma. 2018;127:175-86.
  10. 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(3):641-5.
  11. Valizadeh A, Amraei M, GholamiParizad E, Ashraf Eivazi A, Mousavimoghadam SR. Observing professional ethics, treatment team and life expectancy among cancer patients. J Organ Behav Res. 2019;4(2):179-84.
  12. Shivaprasad NV, Satish S, Ravishankar S, Vimalambike MG. Ki-67 immunostaining in astrocytomas: Association with histopathological grade - A South Indian study. J Neurosci Rural Pract. 2016;7(04):510-4.
  13. Theresia E, Malueka RG, Pranacipta S, Kameswari B, Dananjoyo K, Asmedi A, et al. Association between Ki-67 labeling index and histopathological grading of glioma in Indonesian population. Asian Pac J Cancer Prev. 2020;21(4):1063-8.
  14. Homauni A, Mosadeghrad AM, Jaafaripooyan E. Employee performance appraisal in health care organizations: A systematic review search. J Organ Behav Res. 2021;6(2):109-21.
  15. Babaei H, Sepahy AA, Amini K, Saadatmand S. The effect of titanium dioxide nanoparticles synthesized by bacillus tequilensis on clb gene expression of colorectal cancer-causing Escherichia coli. Arch Pharm Pract. 2020;11(1):22-31.
  16. Ambroise MM, Khosla C, Ghosh M, Mallikarjuna VS, Annapurneswari S. Practical value of MIB-1 index in predicting the behavior of astrocytomas. Indian J Pathol Microbiol. 2011;54(3):520.
  17. Gerdes J, Becker MH, Key G, Cattoretti G. Immuno histological detection of tumor growth fraction(Ki-67antigen) in formalin-fixed and routinely processed tissues. J Pathol. 1992;168:85-6.
  18. Algarni SB, Alsugair MM, Alkhars MK, Addas MJ, Hakeem MA, AlSalman AA, et al. Evaluation role of imaging studies in the staging of breast cancer. Arch Pharm Pract. 2020;11(4):70-4.
  19. Alhuzaim W, Alosaimi M, Almesfer AM, Al Shahrani NM, Alali AH, Alibrahim KI, et al. Saudi patients' knowledge, behavior, beliefs, self-efficacy and barriers regarding colorectal cancer screening. Int J Pharm Res Allied Sci. 2020;9(1):14-20.
  20. Hsu CY, Ho DM, Yang CF, Chiang H. Inter-observer reproducibility of MIB-1 labeling index in astrocytic tumors using different counting methods. Mod Pathol. 2003;16(9):951-7.
  21. Alsayed MA, Surrati AM, Altaifi JA, Alharbi AH, Alfouti RO, Alremaithi SM. Public awareness of colon cancer symptoms, risk factor, and screening at Madinah-KSA. Int J Pharm Res Allied Sci. 2019;8(1):184-97.
  22. Gudinaviciene I, Pranys D, Juozaityte E. Impact of morphology and biology on the prognosis of patients with gliomas. Medicina. 2004;40(2):112-20.
  23. Wakimoto H, Aoyagi M, Nakayama T, Nagashima G, Yamamoto S, Tamaki M, et al. Prognostic significance of Ki-67 labeling indices obtained using MIB-1 monoclonal antibody in patients with supratentorial astrocytomas. Cancer. 1996;77(2):373-80.
  24. Darweesh MF, Salam LO, Negm MS. Evaluation of the proliferation marker Ki-67 in glioblastoma and its correlation with histopathological findings. Acad J Cancer Res. 2016;9:13-8.
  25. Byreddy VR, Sreelakshmi I, NEA. Role of Ki67 immunostaining as an adjunct to differentiatelow-grade and high-grade Gliomas. IOSR Dent Med Sci (IOSR-JDMS). 2018;17:11-7.
  26. Skjulsvik AJ, Mørk JN, Torp MO, Torp SH. Ki-67/MIB-1 immunostaining in a cohort of human gliomas. Int J Clini Exp Pathol. 2014;7(12):8905-10.
  27. Yao Y, Tao R, Wang X, Wang Y, Mao Y, Zhou LF. B7-H1 is correlated with malignancy-grade gliomas but is not expressed exclusively on tumor stem-like cells. Neuro Oncol. 2009;11(6):757-66.
  28. Saha R, Chatterjee U, Mandal S, Saha K, Chatterjee S, Ghosh SN. Expression of phosphatase and tensin homolog, epidermal growth factor receptor, and Ki-67 in astrocytoma: A prospective study in a tertiary care hospital. Indian J Med Paediatr Oncol. 2014;35(02):149-55.
  29. Hu X, Miao W, Zou Y, Zhang W, Zhang Y, Liu H. Expression of p53, epidermal growth factor receptor, Ki-67 and O6 methylguanine DNA methyltransferase in human gliomas. Oncol Lett. 2013;6(1):130-4.
  30. Du W, Xu G, Diao B, Yao G, Song J, Wei K, et al. Correlation between PD-L1 protein and Ki-67 and clinicopathological features in glioma patients. ACTA Med Mediterr. 2020;36(1):459-63.
  31. Morshed RA, Young JS, Hervey-Jumper SL, Berger MS. The management of low-grade gliomas in adults. J Neurosurg Sci. 2019;63(4):450-7.
  32. Singh A, Bhardwaj A, Kaushik S, Kishore S, Acharya S. Role of immunohistochemical markers p53 and Ki-67 in grading of glial tumours. J Clin Diagn Res. 2021;15(4):EC13-7.
  33. Pedachenko Y, Gridina N, Rozumenko V, Samoylov A, Khrystosenko R, Zvyagintseva T, et al. Changes in the correlation between peripheral blood cells and membrane charge in brain gliomas and meningiomas. Arch Pharm Pract. 2022;13(3):92-7.
  34. Al-Matrafi TA, Atteya M. Ki-67 immunohistochemical evaluation of changes in gastric stem cell population with age. Int J Pharm Res Allied Sci. 2021;10(1):141-6.
  35. Ong AG, Kumolosasi E, Islahudin F, Chan SY, Lim XY, Hanapiah SM, et al. Bloodstream infections in solid tumor malignancy: Risk factors and clinical outcome. Arch Pharm Pract. 2021;12(3):34-40.
  36. Bharadwaj A, Singh A, Kaushik S, Kishore S, Acharaya S. Role of immunohistochemical markers p53 and Ki-67 in grading of glial tumours: A prospective study. J Clin Diagn Res. 2021;15(4):13-7.
  37. Dahlrot RH, Bangsø JA, Petersen JK, Rosager AM, Sørensen MD, Reifenberger G, et al. Prognostic role of Ki-67 in glioblastomas excluding contribution from non-neoplastic cells. Sci Rep. 2021;11(1):1-9.
  38. Caramanti R, Aprígio RM, Carlos ED, Morais DF, Góes MJ, Chaddad-Neto F, et al. Is edema zone volume associated with Ki-67 index in glioblastoma patients? Cureus. 2022;14(4):e24246.
  39. Ahmed RM, Elkhader BA, Hassan WB, Elsamani M, Eisa RA. Knowledge and practices towards breast cancer screening. Int J Pharm Res Allied Sci. 2021;10(2):21-8.
Copyright © 2024 Clinical Cancer Investigation Journal, All rights are reserved and for all open access contents, the Creative Commons licensing terms apply.
Online since 01 December, 2011
Creative Commons License 
ISSN Print: 2278-1668, Online: 2278-0513