Evidence map›Paper›PMID 32849766›Full record

ArticleFrontiers in genetics2020

Identification of a Six-lncRNA Signature With Prognostic Value for Breast Cancer Patients.

Erjie Zhao, Yujia Lan, Fei Quan, Xiaojing Zhu, Suru A, Linyun Wan, Jinyuan Xu, Jing Hu

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

Article in Frontiers in genetics, 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
0.4field-weighted citation impact, top 47% 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, 7 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

8 authors at 1 institution in 1 country.

Erjie ZhaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yujia LanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Fei QuanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xiaojing ZhuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Suru ACollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Linyun WanCollege 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.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BRCA) is the most common cancer and a major cause of death in women. Long non-coding RNAs (lncRNAs) are emerging as key regulators and have been implicated in carcinogenesis and prognosis. In this study, we aimed to develop a lncRNA signature of BRCA patients to improve risk stratification. In the training cohort (GSE21653,

Indexed as

breast cancerdisease-free survivallong non-coding RNAprognosissignature

Identifiers

PMID32849766
PMCPMC7396575
OpenAlexW3044878831

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.