Evidence map›Paper›PMID 33584801›Full record

ArticleFrontiers in genetics2020

A Six-lncRNA Signature for Immunophenotype Prediction of Glioblastoma Multiforme.

Ming Gao, Xinzhuang Wang, Dayong Han, Enzhou Lu, Jian Zhang, Cheng Zhang, Ligang Wang, Quan Yang, Qiuyi Jiang, Jianing Wu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
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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 3 institutions in 1 country.

Ming GaoDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Xinzhuang WangDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Dayong HanDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Enzhou LuDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Jian ZhangDepartment of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Cheng ZhangNorth Broward Preparatory School, Coconut Creek, FL, United States.
Ligang WangDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Quan YangDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Qiuyi JiangDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Jianing WuDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Xin ChenDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Shiguang ZhaoDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Harbin Medical University · CNHeilongjiang University · CNFirst Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma multiforme (GBM) is the most aggressive primary tumor of the central nervous system. As biomedicine advances, the researcher has found the development of GBM is closely related to immunity. In this study, we evaluated the GBM tumor immunoreactivity and defined the Immune-High (IH) and Immune-Low (IL) immunophenotypes using transcriptome data from 144 tumors profiled by The Cancer Genome Atlas (TCGA) project based on the single-sample gene set enrichment analysis (ssGSEA) of five immune expression signatures (IFN-γ response, macrophages, lymphocyte infiltration, TGF-β response, and wound healing). Next, we identified six immunophenotype-related long non-coding RNA biomarkers (im-lncRNAs, USP30-AS1, HCP5, PSMB8-AS1, AL133264.2, LINC01684, and LINC01506) by employing a machine learning computational framework combining minimum redundancy maximum relevance algorithm (mRMR) and random forest model. Moreover, the expression level of identified im-lncRNAs was converted into an im-lncScore using the normalized principal component analysis. The im-lncScore showed a promising performance for distinguishing the GBM immunophenotypes with an area under the curve (AUC) of 0.928. Furthermore, the im-lncRNAs were also closely associated with the levels of tumor immune cell infiltration in GBM. In summary, the im-lncRNA signature had important clinical implications for tumor immunophenotyping and guiding immunotherapy in glioblastoma patients in future.

Indexed as

biomarkerglioblastoma multiformeimmunophenotypelong non-coding RNAmachine learning

Identifiers

PMID33584801
PMCPMC7874158
OpenAlexW3169800083

What OpenQuestion holds

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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.