Evidence map›Paper›PMID 33662628›Full record

ArticleGenomics, proteomics & bioinformatics2021

Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients.

Zheng Zhao, Ke-Nan Zhang, Qiangwei Wang, Guanzhang Li, Fan Zeng, Ying Zhang, Fan Wu, Ruichao Chai, Zheng Wang, Chuanbao Zhang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 711 papers.

0numbers the graph read from it
0cells of the map it votes in
711citing papers in PubMed
122.2field-weighted citation impact, top 1% 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

711 citing papers in PubMed, 1,068 citations in OpenAlex.

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651 more citing papers are in PubMed but not listed here.

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

13 authors at 1 institution in 1 country.

Zheng ZhaoBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Ke-Nan ZhangBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Qiangwei WangBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China; Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China.
Guanzhang LiBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Fan ZengBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Ying ZhangBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Fan WuBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Ruichao ChaiBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Zheng WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Chuanbao ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Wei ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Zhaoshi BaoBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China. Electronic address: bzsjoe1985@163.com.
Tao JiangBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Center of Brain Tumor, Beijing Institute for Brain Disorders, Beijing 100069, China; China National Clinical Research Center for Neurological Diseases, Beijing 100070, China. Electronic address: taojiang1964@163.com.
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gliomas are the most common and malignant intracranial tumors in adults. Recent studies have revealed the significance of functional genomics for glioma pathophysiological studies and treatments. However, access to comprehensive genomic data and analytical platforms is often limited. Here, we developed the Chinese Glioma Genome Atlas (CGGA), a user-friendly data portal for the storage and interactive exploration of cross-omics data, including nearly 2000 primary and recurrent glioma samples from Chinese cohort. Currently, open access is provided to whole-exome sequencing data (286 samples), mRNA sequencing (1018 samples) and microarray data (301 samples), DNA methylation microarray data (159 samples), and microRNA microarray data (198 samples), and to detailed clinical information (age, gender, chemoradiotherapy status, WHO grade, histological type, critical molecular pathological information, and survival data). In addition, we have developed several tools for users to analyze the mutation profiles, mRNA/microRNA expression, and DNA methylation profiles, and to perform survival and gene correlation analyses of specific glioma subtypes. This database removes the barriers for researchers, providing rapid and convenient access to high-quality functional genomic data resources for biological studies and clinical applications. CGGA is available at http://www.cgga.org.cn.

Indexed as

Brain NeoplasmsGliomaMicroRNAsAdultChinaGenomicsHumansMicroRNAsChinese cohortChinese Glioma Genome AtlasDatabaseFunctional genomicsGlioma

Identifiers

PMID33662628
PMCPMC8498921
OpenAlexW3135035839

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.