Evidence map›Paper›PMID 33747896›Full record

ArticleFrontiers in oncology2020

Genomic Profiling Identified Novel Prognostic Biomarkers in Chinese Midline Glioma Patients.

Hainan Li, Changguo Shan, Shengnan Wu, Baijie Cheng, Chongzu Fan, Linbo Cai, Yedan Chen, Yuqian Shi, Kaihua Liu, Yang Shao and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. Targeting miRNAs in renal cell carcinoma: emerging therapeutic strategies.International journal of clinical oncology · 2025
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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

12 authors at 2 institutions in 1 country.

Hainan LiDepartment of Pathology, Guangdong Sanjiu Brain Hospital, Guangzhou, China.
Changguo ShanDepartment of Pathology, Guangdong Sanjiu Brain Hospital, Guangzhou, China.
Shengnan WuDepartment of Pathology, Guangdong Sanjiu Brain Hospital, Guangzhou, China.
Baijie ChengDepartment of Pathology, Guangdong Sanjiu Brain Hospital, Guangzhou, China.
Chongzu FanDepartment of Pathology, Guangdong Sanjiu Brain Hospital, Guangzhou, China.
Linbo CaiDepartment of Pathology, Guangdong Sanjiu Brain Hospital, Guangzhou, China.
Yedan ChenMedical Department, Nanjing Geneseeq Technology Inc., Nanjing, China.
Yuqian ShiMedical Department, Nanjing Geneseeq Technology Inc., Nanjing, China.
Kaihua LiuMedical Department, Nanjing Geneseeq Technology Inc., Nanjing, China.
Yang ShaoMedical Department, Nanjing Geneseeq Technology Inc., Nanjing, China.
Dan ZhuDepartment of Pathology, Guangdong Sanjiu Brain Hospital, Guangzhou, China.
Zhi LiDepartment of Pathology, Guangdong Provincial People's Hospital, Guangzhou, China.
Guangdong 999 Brain Hospital · CNGuangdong Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMolecular characteristics are essential for the classification and grading of gliomas. However, diagnostic classification of midline glioma is still debatable and substantial molecular and clinical heterogeneity within each subgroup suggested that they should be further stratified. Here, we studied the mutation landscape of Chinese midline glioma patients in hope to provide new insights for glioma prognosis and treatment.

methodsTissue samples from 112 midline glioma patients underwent next-generation sequencing targeting 425 cancer-relevant genes. Gene mutations and copy number variations were investigated for their somatic interactions and prognostic effect using overall survival data. Pathway-based survival analysis was performed for ten canonical oncogenic pathways.

resultsWe identified several currently established diagnostic and prognostic biomarkers of glioma, including

conclusionsIn this study, we discovered shorter survival in midline glioma patients with PIK3CA and TERT mutations and with abnormal PI3K and cell cycle pathways. We also revealed a novel prognostic marker,

Indexed as

cell cycle pathwaymidline gliomanext-generation sequencingPI3K-AKT pathwayprognostic genetic markers

Identifiers

PMID33747896
PMCPMC7968371
OpenAlexW3134815307

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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.