Evidence map›Paper›PMID 34163522›Full record

ArticleFrontiers in genetics2021

Identifying Key Somatic Copy Number Alterations Driving Dysregulation of Cancer Hallmarks in Lower-Grade Glioma.

Yao Zhou, Shuai Wang, Haoteng Yan, Bo Pang, Xinxin Zhang, Lin Pang, Yihan Wang, Jinyuan Xu, Jing Hu, Yujia Lan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Yao ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Shuai WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Haoteng YanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Bo PangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xinxin ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Lin PangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yihan WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jinyuan XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jing HuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yujia LanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yanyan PingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Somatic copy-number alterations (SCNAs) are major contributors to cancer development that are pervasive and highly heterogeneous in human cancers. However, the driver roles of SCNAs in cancer are insufficiently characterized. We combined network propagation and linear regression models to design an integrative strategy to identify driver SCNAs and dissect the functional roles of SCNAs by integrating profiles of copy number and gene expression in lower-grade glioma (LGG). We applied our strategy to 511 LGG patients and identified 98 driver genes that dysregulated 29 cancer hallmark signatures, forming 143 active gene-hallmark pairs. We found that these active gene-hallmark pairs could stratify LGG patients into four subtypes with significantly different survival times. The two new subtypes with similar poorest prognoses were driven by two different gene sets (one including

Indexed as

cancer hallmarkdriver genesLGGrandom walk with restartregression analysissomatic copy number alteration

Identifiers

PMID34163522
PMCPMC8215700
OpenAlexW3169344809

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.