Literature DB >> 32118704

The prognostic role of Ki-67/MIB-1 in meningioma: A systematic review with meta-analysis.

Ning Liu1, Si-Ying Song2, Jia-Bao Jiang3, Ting-Jian Wang4, Chang-Xiang Yan1.   

Abstract

BACKGROUND: Ki-67 is a typical immunohistochemical marker for cell proliferation. Higher expression of Ki-67 is correlated with poor clinical outcomes in several cancers. However, the prognostic value of Ki-67 on the prognosis of meningiomas is still controversial. The purpose of this meta-analysis was to evaluate the prognostic value of Ki-67 in meningiomas. METHODS AND MATERIALS: We searched Medline and EMBASE from inception to December 31, 2018, to identify relevant articles. Using a fixed or random effects model, pooled hazard ratios (HRs) for overall survival (OS) and disease/progression/recurrence-free survival (D/P/RFS) were estimated.
RESULTS: A total of 43 studies, comprising 5012 patients, were included in this analysis. Higher Ki-67 expression levels were significantly associated with worse OS (HR = 1.565; 95% CI: 1.217-2.013) and D/P/RFS (HR = 2.644; 95% CI: 2.264-3.087) in meningiomas. Subgroup analysis revealed that all the included factors (ethnicity, tumor grade, HR sources, definition of cutoffs, cutoff values) for heterogeneity investigation can affect the pooled results. Among them, the definitions of cutoffs and cutoff values factor are the two main contributors toward heterogeneity. Multivariable meta-regression analysis also showed that methodologies used for cutoff value definition contributed to the high inner-study heterogeneity.
CONCLUSIONS: Higher Ki-67 expression levels negatively influenced survival in meningiomas. A higher cutoff value (>4%) is more appropriate for prognosis prediction. It is highly recommended that Ki-67 expression profile could be assessed in meningiomas treatment for predicting survival. And patients with elevated expression of Ki-67 need to have close follow-ups.

Entities:  

Year:  2020        PMID: 32118704     DOI: 10.1097/MD.0000000000018644

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.889


  16 in total

1.  Efficient Prediction of Ki-67 Proliferation Index in Meningiomas on MRI: From Traditional Radiological Findings to a Machine Learning Approach.

Authors:  Yanjie Zhao; Jianfeng Xu; Boran Chen; Le Cao; Chaoyue Chen
Journal:  Cancers (Basel)       Date:  2022-07-26       Impact factor: 6.575

2.  Machine Learning Using Multiparametric Magnetic Resonance Imaging Radiomic Feature Analysis to Predict Ki-67 in World Health Organization Grade I Meningiomas.

Authors:  Omaditya Khanna; Anahita Fathi Kazerooni; Christopher J Farrell; Michael P Baldassari; Tyler D Alexander; Michael Karsy; Benjamin A Greenberger; Jose A Garcia; Chiharu Sako; James J Evans; Kevin D Judy; David W Andrews; Adam E Flanders; Ashwini D Sharan; Adam P Dicker; Wenyin Shi; Christos Davatzikos
Journal:  Neurosurgery       Date:  2021-10-13       Impact factor: 5.315

3.  Commentary: The Ki-67 Proliferation Index as a Marker of Time to Recurrence in Intracranial Meningioma.

Authors:  Antonio Dono; Ankush Chandra; Leomar Y Ballester; Yoshua Esquenazi
Journal:  Neurosurgery       Date:  2021-06-15       Impact factor: 4.654

4.  Malignant Progression Contributes to the Failure of Combination Therapy for Atypical Meningiomas.

Authors:  Qing Zhang; Zheng Wen; Ming Ni; Da Li; Ke Wang; Gui-Jun Jia; Zhen Wu; Li-Wei Zhang; Wang Jia; Liang Wang; Jun-Ting Zhang
Journal:  Front Oncol       Date:  2021-01-15       Impact factor: 6.244

Review 5.  Utilization of Cerebrospinal Fluid Proteome Analysis in the Diagnosis of Meningioma: A Systematic Review.

Authors:  Rabia Choudhary; Adil Elabbas; Abhishek Vyas; Darin Osborne; Himaja Dutt Chigurupati; Lawahiz F Abbas; Prathima Kampa; Farzana M H; Hooria Sarwar; Michael Alfonso
Journal:  Cureus       Date:  2021-12-26

6.  A Clinical Prognostic Model Based on Preoperative Hematological and Clinical Parameters Predicts the Progression of Primary WHO Grade II Meningioma.

Authors:  Peng Gao; Tengxiao Kong; Xuqiang Zhu; Yingwei Zhen; Hongjiang Li; Di Chen; Shanpeng Yuan; Dongtao Zhang; Henan Jiao; Xueyuan Li; Dongming Yan
Journal:  Front Oncol       Date:  2021-10-11       Impact factor: 6.244

7.  Proliferative Potential, and Inflammatory Tumor Microenvironment in Meningioma Correlate with Neurological Function at Presentation and Anatomical Location-From Convexity to Skull Base and Spine.

Authors:  Johannes Wach; Tim Lampmann; Ági Güresir; Hartmut Vatter; Ulrich Herrlinger; Albert Becker; Silvia Cases-Cunillera; Michael Hölzel; Marieta Toma; Erdem Güresir
Journal:  Cancers (Basel)       Date:  2022-02-18       Impact factor: 6.639

8.  Inflammatory Tumor Microenvironment in Cranial Meningiomas: Clinical Implications and Intraindividual Reproducibility.

Authors:  Johannes Wach; Tim Lampmann; Ági Güresir; Hartmut Vatter; Ulrich Herrlinger; Albert Becker; Marieta Toma; Michael Hölzel; Erdem Güresir
Journal:  Diagnostics (Basel)       Date:  2022-03-30

9.  DNA Methylation Associates With Clinical Courses of Atypical Meningiomas: A Matched Case-Control Study.

Authors:  Matthias Millesi; Alice Senta Ryba; Johannes A Hainfellner; Thomas Roetzer; Anna Sophie Berghoff; Matthias Preusser; Gerwin Heller; Erwin Tomasich; Felix Sahm; Karl Roessler; Stefan Wolfsberger
Journal:  Front Oncol       Date:  2022-03-09       Impact factor: 6.244

10.  MRI multiparametric scoring system for pial blood supply of intracranial meningiomas.

Authors:  Fumiyo Higaki; Satoshi Inoue; Wakako Oda; Eiji Matsusue; Takao Hiraki
Journal:  Acta Radiol Open       Date:  2022-04-08
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