Evidence map›Paper›PMID 34482648›Full record

ArticleCancer medicine2021

Identification and validation of RNA-binding protein-related gene signature revealed potential associations with immunosuppression and drug sensitivity in glioma.

Zhuohui Chen, Haiyue Wu, Haojun Yang, Yishu Fan, Songfeng Zhao, Mengqi Zhang

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
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

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

21 citing papers in PubMed, 24 citations in OpenAlex.

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  4. The RNA-Binding Proteins MCPIP2 and IGF2BP1 Competitively Modulate Breast Tumor Angiogenesis by Antagonizing VEGFA mRNA Stability and Expression.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
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  12. The evaluation of six genes combined value in glioma diagnosis and prognosis.Journal of cancer research and clinical oncology · 2023
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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

6 authors at 1 institution in 1 country.

Zhuohui ChenDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Haiyue WuDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Haojun YangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Yishu FanDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Songfeng ZhaoDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Mengqi ZhangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0003-2090-6320
Central South University · CN

Funding

Key Research and Development Program of Hunan Province of China 2020SK2063National Natural Science Foundation of China 81501025Natural Science Foundations for Excellent Young Scholars of Hunan Province 2021JJ20095Natural Science Foundations of Hunan Province 2020JJ4134Research Project on Education and Teaching Innovation of Central South University 2021jy145
6 · The paper itself

Abstract

backgroundGlioma is the most common central nervous system tumor in adults, and a considerable part of them are high-degree ones with high malignancy and poor prognosis. At present, the classification and treatment of glioma are mainly based on its histological characteristics, so studies at the molecular level are needed.

methodsRNA-seq data from The Cancer Genome Atlas (TCGA) datasets (n = 703) and Chinese Glioma Genome Atlas (CGGA) were utilized to find out the differentially expressed RNA-binding proteins (RBPs) between normal cerebral tissue and glioma. A prediction system for the prognosis of glioma patients based on 11 RBPs was established and validated using uni- and multi-variate Cox regression analyses. STITCH and CMap databases were exploited to identify putative drugs and their targets. Single sample gene set enrichment analysis (ssGSEA) was used to calculate scores of specific immune-related gene sets. IC50 of over 20,000 compounds in 60 cancer cell lines was collected from the CellMiner database to test the drug sensitivity prediction value of the RBP-based signature.

resultsWe established a reliable prediction system for the prognosis of glioma patients based on 11 RBPs including THOC3, LSM11, SARNP, PABPC1L2B, SMN1, BRCA1, ZC3H8, DZIP1L, HEXIM2, LARP4B, and ZC3H12B. These RBPs were primarily associated with ribosome and post-transcriptional regulation. RBP-based risk scores were closely related to immune cells and immune function. We also confirmed the potential of the signature to predict the drug sensitivity of currently approved or evaluated drugs.

conclusionsDifferentially expressed RBPs in glioma can be used as a basis for prognosis prediction, new drugs screening and drug sensitivity prediction. As RBP-based glioma risk scores were associated with immunity, immunotherapy may become an important treatment for glioma in the future.

Indexed as

Brain NeoplasmsGene Expression Regulation, NeoplasticGliomaHumansImmunosuppression TherapyPrognosisRNA-Binding ProteinsRNA-Binding Proteinsdrug sensitivitygliomaimmune infiltrationprognostic valueRNA-binding proteintumor immunity

Identifiers

PMID34482648
PMCPMC8525098
OpenAlexW3198157255

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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.