Association between Ki-67 Labeling index and Histopathological Grading of Glioma in Indonesian Population

Abstract

Background: Gliomas are the most frequent primary brain tumors. According to World Health Organization guidelines, gliomas are graded into four groups (Group I-IV). This histological grading will determine prognosis and treatment of the patient. Morphological criteria are not always accurate. Tumor proliferation index is a potent quantitative marker for tumor behavior and prognosis, also it's the basis of gliomagenesis. Ki-67 immunohistochemistry examination for determining proliferation index has been suggested as an ancillary marker in deciding the definitive grading of glioma. Objective: To analyze the correlation between Ki-67 labeling index and histopathological grading of glioma in Indonesian population. Methods: One hundred and six formalin fixed-paraffin embedded tissue of glioma patients were collected from 4 different hospitals. Expression of Ki-67 was detected using immunohistochemistry staining and the labeling index was counted. The association between Ki-67 labeling index and histopathological grading was analyzed. Results: Age range of patient were 1-73-years old, with male predominance (55.70%). Glioblastoma was the most common diagnosis accounting for 41.51% of all samples. Ki-67 labeling index cut point of 6.35% was obtained and significantly sensitive and specific for determining low-or high-grade glioma (p<0.001). Conclusion: A significant association between Ki-67 labeling index and histopathological grading in Indonesian glioma patients has been revealed. The result of this study may be used to improve diagnostic and grading accuracy of glioma cases in Indonesia, especially in small biopsy specimens.

Effect of High-Quality Nursing Based on Comprehensive Nursing on the Postoperative Quality of Life and Satisfaction of Patients with Malignant Glioma

“…The patients in the high-quality group received high-quality nursing plus comprehensive nursing. The specific methods are as follows: upon admission, the nursing staff help the patients quickly familiarize the treatment environment to facilitate their following treatment cooperation: the patients were instructed and accompanied by nursing staff in various preoperative and postoperative physical examinations to reduce their psychological pressure [ 7 ]; 1-2 days preoperatively, the patients were given operation precautions and health education to avoid perioperative stress and help them to better understand the disease and stabilize their emotions; cases with similar treatment procedures were introduced to the patients to eliminate their anxiety and fear [ 8 ]; 1 day preoperatively, the patients were given perioperative information such as operating room environment, anesthesia methods, and the general procedure of the operation; 30 minutes preoperatively, the patients were comforted when entering the operation room to help them to eliminate anxiety and fear; the preoperative preparation after anesthesia such as indwelling urinary catheter was performed to reduce the discomfort of the patient [ 9 ]; invasive operations such as venous blood collection and intravenous infusion were performed by skilled nurses after surgery; and the patients' conditions were strictly monitored to promptly resolve their issues [ 10 ].…”

Based on clinical Ki-67 expression and serum infiltrating lymphocytes related nomogram for predicting the diagnosis of glioma-grading

“…Theresia et al. ( 18 ) demonstrated an association between the Ki-67 labeling index and the histopathological grade of glioma, with LGG having a significantly lower grade than HGG. Ki-67 expression may be utilized to quantify lymphocyte proliferation ( 40 ).…”

“…found an association between the Ki-67 labeling index and histopathological grading of glioma. LGG patients had a significantly lower Ki-67 labeling index than HGG patients, and a cut-off of 10% was used to differentiate LGG from HGG ( 18 , 19 ). The relationship between Ki-67 expression and IDH1 mutation status demonstrated by Zeng et al.…”

“…Theresia et al found an association between the Ki-67 labeling index and histopathological grading of glioma. LGG patients had a significantly lower Ki-67 labeling index than HGG patients, and a cut-off of 10% was used to differentiate LGG from HGG (18,19). The relationship between Ki-67 expression and IDH1 mutation status demonstrated by Zeng et al (20) showed that Ki-67 expression along with IDH1/2 can significantly differentiate prognosis in glioma, with low Ki-67 expression associated with increased IDH1/2 mutation and IDH1/2 mutant patients with low and moderate Ki-67 expression having the best prognosis.…”

Evolving Role and Translation of Radiomics and Radiogenomics in Adult and Pediatric Neuro-Oncology

“…Histologic grade and the Ki-67 labeling index are used to help predict biologic behavior and prognosis of gliomas. 72 A recently published study has demonstrated that radiomics features based on T2 FLAIR images have been shown to preoperatively correlate and predict multiple immunohistochemical features of gliomas such as Ki-67, S-100, vimentin, and CD34 expression. 49 These insights are expected to enhance the personalized treatment of patients with gliomas.…”