Evidence map›Paper›PMID 29050331›Full record

ArticleOncotarget2017

A GLO10 score for the prediction of prognosis in high grade gliomas.

Feng Chen, Peng Peng, Yi Zhou, Zhen-Yu Yang, Hai-Quan Zhang, Xiang-Sheng Ao, Da-Quan Zhou, Chun-Xiang Xiang

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

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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

8 authors.

Feng ChenDepartment of Neurosurgery, Xiangyang Central Hospital, Hubei University of Arts and Science, Xiangyang, Hubei 441021, P. R. China.
Peng PengDepartment of Neurosurgery, Xiangyang Central Hospital, Hubei University of Arts and Science, Xiangyang, Hubei 441021, P. R. China.
Yi ZhouDepartment of Neurosurgery, Xiangyang Central Hospital, Hubei University of Arts and Science, Xiangyang, Hubei 441021, P. R. China.
Zhen-Yu YangDepartment of Neurosurgery, Xiangyang Central Hospital, Hubei University of Arts and Science, Xiangyang, Hubei 441021, P. R. China.
Hai-Quan ZhangDepartment of Neurosurgery, Xiangyang Central Hospital, Hubei University of Arts and Science, Xiangyang, Hubei 441021, P. R. China.
Xiang-Sheng AoDepartment of Neurosurgery, Xiangyang Central Hospital, Hubei University of Arts and Science, Xiangyang, Hubei 441021, P. R. China.
Da-Quan ZhouDepartment of Neurosurgery, Xiangyang Central Hospital, Hubei University of Arts and Science, Xiangyang, Hubei 441021, P. R. China.
Chun-Xiang XiangDepartment of Pathology, Xiangyang Central Hospital, Hubei University of Arts and Science, Xiangyang, Hubei 441021, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gliomas are the most common lethal brain tumours and remain great heterogeneity in terms of histopathology and clinical outcomes. Among them, glioblastomas are the most aggressive tumours that lead to a median of less than one-year survival in patients. Despite the little improvement of in diagnosis and treatments for last decades, there is an urgent need for prognostic markers to distinguish high- and low-risk patients before treatment.Here, we generated a list of genes associated with glioblastoma progressions and then performed a comprehensive statistical modelling strategy to derive a 10-gene (GLO10) score from genome wide expression profiles of a large glioblastoma cohort (n=844). Our study demonstrated that the GLO10 score could successfully distinguish high- and low-risk patients with glioblastomas regardless their traditional pathological factors. Validated in four independent cohorts, the utility of GLO10 score could provide clinicians a robust prognostic prediction tool to assess risk levels upfront treatments.

Indexed as

biomarkerDNA microarrayglioblastomaLASSOprognosis

Identifiers

PMID29050331
PMCPMC5642606

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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.