Evidence map›Paper›PMID 29687281›Full record

ArticleJournal of neuro-oncology2018

Prognostic value of Ki-67 index in adult medulloblastoma after accounting for molecular subgroup: a retrospective clinical and molecular analysis.

Fu Zhao, Jing Zhang, Peng Li, Qiangyi Zhou, Shun Zhang, Chi Zhao, Bo Wang, Zhijun Yang, Chunde Li, Pinan Liu

Abstract read
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In one paragraph

Article in Journal of neuro-oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  3. Fusion of habitat analysis and deep learning on contrast-enhanced T1-weighted imaging for predicting Ki-67 status in pediatric brain tumors.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025
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  6. Prognostic value of Ki-67 index in primary intracranial tumors of infants.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Fu ZhaoNeural Reconstruction Department, Beijing Neurosurgical Institute, Capital Medical University, No. 6 Tiantan Xili, Dongcheng District, Beijing, China. zhaofu@ccmu.edu.cn.
Jing ZhangDepartment of Neurosurgery, Beijing Tian Tan Hospital, Capital Medical University, Beijing, China.
Peng LiNeural Reconstruction Department, Beijing Neurosurgical Institute, Capital Medical University, No. 6 Tiantan Xili, Dongcheng District, Beijing, China.
Qiangyi ZhouNeural Reconstruction Department, Beijing Neurosurgical Institute, Capital Medical University, No. 6 Tiantan Xili, Dongcheng District, Beijing, China.
Shun ZhangDepartment of Neurosurgery, Beijing Tian Tan Hospital, Capital Medical University, Beijing, China.
Chi ZhaoDepartment of Neurosurgery, Beijing Tian Tan Hospital, Capital Medical University, Beijing, China.
Bo WangNeural Reconstruction Department, Beijing Neurosurgical Institute, Capital Medical University, No. 6 Tiantan Xili, Dongcheng District, Beijing, China.
Zhijun YangNeural Reconstruction Department, Beijing Neurosurgical Institute, Capital Medical University, No. 6 Tiantan Xili, Dongcheng District, Beijing, China.
Chunde LiNeural Reconstruction Department, Beijing Neurosurgical Institute, Capital Medical University, No. 6 Tiantan Xili, Dongcheng District, Beijing, China.
Pinan LiuNeural Reconstruction Department, Beijing Neurosurgical Institute, Capital Medical University, No. 6 Tiantan Xili, Dongcheng District, Beijing, China. pinanliu@bjctf.org.ORCID http://orcid.org/0000-0002-8064-5049
Capital Medical University · CN

Funding

Beijing Program Foundation for the Talents 2016000021469G216the Capital Health Development and Research Special Projects of Beijing 2011-1015-01
6 · The paper itself

Abstract

introductionMedulloblastoma (MB) is a rare primary brain tumor in adults. We previously evaluated that combining both clinical and molecular classification could improve current risk stratification for adult MB. In this study, we aimed to identify the prognostic value of Ki-67 index in adult MB.

methodKi-67 index of 51 primary adult MBs was reassessed using a computer-based image analysis (Image-Pro Plus). All patients were followed up ranging from 12 months up to 15 years. Gene expression profiling and immunochemistry were used to establish the molecular subgroups in adult MB. Combined risk stratification models were designed based on clinical characteristics, molecular classification and Ki-67 index, and identified by multivariable Cox proportional hazards analysis.

resultsIn our cohort, the mean Ki-67 value was 30.0 ± 11.3% (range 6.56-63.55%). The average Ki-67 value was significantly higher in LC/AMB than in CMB and DNMB (P = .001). Among three molecular subgroups, Group 4-tumors had the highest average Ki-67 value compared with WNT- and SHH-tumors (P = .004). Patients with Ki-67 index large than 30% displayed poorer overall survival (OS) and progression free survival (PFS) than those with Ki-67 less than 30% (OS: P = .001; PFS: P = .006). Ki-67 index (i.e. > 30%, < 30%) was identified as an independent significant prognostic factor (OS: P = .017; PFS: P = .024) by using multivariate Cox proportional hazards model.

conclusionsIn conclusion, Ki-67 index can be considered as a valuable independent prognostic biomarker for adult patients with MB.

Indexed as

AdolescentAdultBiomarkers, TumorCerebellar NeoplasmsCerebellumFemaleFollow-Up StudiesGene Expression ProfilingHumansImage Interpretation, Computer-AssistedImmunohistochemistryKi-67 AntigenMaleMedulloblastomaMiddle AgedPrognosisBiomarkers, TumorKi-67 AntigenAdultKi-67MedulloblastomaMolecular subgroupSurvival

Identifiers

PMID29687281
OpenAlexW2801369892

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.