Evidence map›Paper›PMID 39739534›Full record

ArticleBrain and behavior2025

Assessment of MGMT and TERT Subtypes and Prognosis of Glioblastoma by Whole Tumor Apparent Diffusion Coefficient Histogram Analysis.

Ling Chen, Min Wu, Yao Li, Lifang Tang, Chuyun Tang, Lizhao Huang, Tao Li, Li Zhu

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Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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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

4 citing papers in PubMed.

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4 · The record

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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

8 authors.

Ling ChenDepartment of Radiology, Liuzhou Worker's Hospital, Guangxi, China.ORCID https://orcid.org/0000-0002-9748-4376
Min WuDepartment of Radiology, Liuzhou Worker's Hospital, Guangxi, China.
Yao LiDepartment of Neurosurgery, Liuzhou Worker's Hospital, Guangxi, China.
Lifang TangDepartment of Radiology, Liuzhou Worker's Hospital, Guangxi, China.
Chuyun TangDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Guangxi, China.
Lizhao HuangDepartment of Radiology, Liuzhou Worker's Hospital, Guangxi, China.
Tao LiDepartment of Radiology, Liuzhou Worker's Hospital, Guangxi, China.
Li ZhuDepartment of Radiology, Liuzhou Worker's Hospital, Guangxi, China.

Funding

Self-financed scientific research of Guangxi Zhuang Autonomous Region Health Commission in 2022 Z-A20221011
6 · The paper itself

Abstract

backgroundAdult glioblastomas (GBMs) are associated with high recurrence and mortality. Personalized treatment based on molecular markers may help improve the prognosis. We aimed to evaluate whether apparent diffusion coefficient (ADC) histogram analysis can better predict MGMT and TERT molecular characteristics and to determine the prognostic relevance of genetic profile in patients with GBM. MATERIALS AND

methodsMRI, clinical, and pathological data of 79 patients with GBM were retrospectively collected. The ADC values based on histogram analysis were described using 10th percentile (p10), 90th percentile (p90), mean, median, minimum, maximum, skewness, kurtosis, and entropy. The independent-sample t test, linear correlation analysis, receiver operating characteristics (ROC) curve analysis, Kaplan-Meier analysis, and Cox proportional hazard regression were performed.

resultsMGMT promoter methylation and TERT promoter mutation were detected in 53.2% and 44.3% of GBM patients, respectively. The ADC

conclusionsADC histogram analysis may be a potential noninvasive biomarker for differentiating MGMT and TERT molecular markers and providing prognostic information for GBM patients.

Indexed as

Brain NeoplasmsDiffusion Magnetic Resonance ImagingDNA Modification MethylasesDNA Repair EnzymesGlioblastomaTelomeraseTumor Suppressor ProteinsAdultAgedDNA MethylationFemaleHumansMaleMiddle AgedMutationPrognosisDNA Modification MethylasesDNA Repair EnzymesMGMT protein, humanTelomeraseTERT protein, humanTumor Suppressor Proteinsapparent diffusion coefficient histogramdiffusion‐weighted imagingglioblastomaMGMTTERT

Identifiers

PMID39739534
PMCPMC11686090

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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.