Evidence map›Paper›PMID 32547061›Full record

ArticleOncoTargets and therapy2020

Construction and Analysis of a Long Non-Coding RNA-Associated Competing Endogenous RNA Network Identified Potential Prognostic Biomarkers in Luminal Breast Cancer.

Zhou Jiang, Pu Cheng, Biyuan Luo, Jian Huang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in OncoTargets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
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  4. The role of lncRNA OIP5-AS1 in cancer development and progression.Apoptosis : an international journal on programmed cell death · 2022
    Review
  5. Article
  6. Article
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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

4 authors at 2 institutions in 1 country.

Zhou JiangDepartment of Breast Surgery, Second Affiliated Hospital, Zhejiang University School of Medicine; Key Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, Hangzhou, Zhejiang, People's Republic of China.
Pu ChengDepartment of Gynecology, Second Affiliated Hospital, Zhejiang University School of Medicine; Key Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, Hangzhou, Zhejiang, People's Republic of China.
Biyuan LuoCancer Center, Xiangya 2nd Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Jian HuangDepartment of Breast Surgery, Second Affiliated Hospital, Zhejiang University School of Medicine; Key Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, Hangzhou, Zhejiang, People's Republic of China.
Second Affiliated Hospital of Zhejiang University · CNHunan Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo construct a competing endogenous RNA (ceRNA) topology network of RNA-seq data and micro RNA-seq (miRNA-seq) data to identify key prognostic long non-coding RNA (lncRNAs) in luminal breast cancer, and validate the results by human luminal breast cancer samples. MATERIALS AND

methodsThe RNA-seq data and miRNA-seq data of luminal A breast cancer in the The Cancer Genome Atlas (TCGA) database were downloaded and compared with those in the miRcode database to obtain lncRNA-miRNA relationship pairs. Final target genes were predicted by all three databases (miRDB, miRTarBase, and TargetScan), thereby obtaining the miRNA-messenger RNA (miRNA-mRNA) relationship pairs and a ceRNA topology network was constructed, then mRNA enrichment analysis, ceRNA topological and stability analysis, univariate and multivariate Cox regression analysis were performed. Overall survival (OS) was evaluated and the key prognostic RNAs were identified. The expression difference between normal and tumor, as well as the correlation of high expression in tumor with pathological parameters (Ki-67, Grade, tumor diameter) were validated by human breast cancer specimens.

resultsA ceRNA topology network was constructed and six lncRNAs were finally identified (The higher expression of

conclusionWe identified and verified six biomarkers (OS-predicting) in luminal breast cancer, which significantly enriched the prediction and potential targets of this subtype.

Indexed as

breast cancerclinical samplecompeting endogenous RNAlong non-coding RNAprognosis

Identifiers

PMID32547061
PMCPMC7244246
OpenAlexW3024904541

What OpenQuestion holds

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LicenceCC BY-NC
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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.