Evidence map›Paper›PMID 34759954›Full record

ArticleFrontiers in genetics2021

A Pan-Cancer Analysis of Transcriptome and Survival Reveals Prognostic Differentially Expressed LncRNAs and Predicts Novel Drugs for Glioblastoma Multiforme Therapy.

Rongchuan Zhao, Xiaohan Sa, Nan Ouyang, Hong Zhang, Jiao Yang, Jinlin Pan, Jinhui Gu, Yuanshuai Zhou

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 62% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 5 institutions in 1 country.

Rongchuan ZhaoDivision of Life Sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Heifei, China.
Xiaohan SaDivision of Life Sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Heifei, China.
Nan OuyangDivision of Life Sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Heifei, China.
Hong ZhangSchool of Life Sciences, Shanghai University, Shanghai, China.
Jiao YangJiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Jinlin PanDivision of Life Sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Heifei, China.
Jinhui GuDepartment of Anorectum, Suzhou Hospital of Traditional Chinese Medicine, Suzhou, China.
Yuanshuai ZhouJiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Suzhou Institute of Biomedical Engineering and Technology · CNUniversity of Science and Technology of China · CNChinese Academy of Sciences · CNShanghai University · CNSuzhou Traditional Chinese Medicine Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous studies have identified various prognostic long non-coding RNAs (LncRNAs) in a specific cancer type, but a comprehensive pan-cancer analysis for prediction of LncRNAs that may serve as prognostic biomarkers is of great significance to be performed. Glioblastoma multiforme (GBM) is the most common and aggressive malignant adult primary brain tumor. There is an urgent need to identify novel therapies for GBM due to its poor prognosis and universal recurrence. Using available LncRNA expression data of 12 cancer types and survival data of 30 cancer types from online databases, we identified 48 differentially expressed LncRNAs in cancers as potential pan-cancer prognostic biomarkers. Two candidate LncRNAs were selected for validation in GBM. By the expression detection in GBM cell lines and survival analysis in GBM patients, we demonstrated the reliability of the list of pan-cancer prognostic LncRNAs obtained above. By constructing LncRNA-mRNA-drug network in GBM, we predicted novel drug-target interactions for GBM correlated LncRNA. This analysis has revealed common prognostic LncRNAs among cancers, which may provide insights into cancer pathogenesis and novel drug target in GBM.

Indexed as

biomarkerglioblastoma multiformelong noncoding RNApan-cancerprognosis

Identifiers

PMID34759954
PMCPMC8575119
OpenAlexW3193868431

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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.