Evidence map›Paper›PMID 31897133›Full record

ArticleOncology letters2020

Identification of a four-long non-coding RNA signature in predicting breast cancer survival.

Mingjie Zhu, Qing Lv, Hu Huang, Chunlei Sun, Da Pang, Junqiang Wu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

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  7. lncRNA PVT1: a novel oncogene in multiple cancers.Cellular & molecular biology letters · 2022
    Review
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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.

Mingjie ZhuDepartment of Breast Surgery, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214035, P.R. China.
Qing LvDepartment of Breast Surgery, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214035, P.R. China.
Hu HuangDepartment of Breast Surgery, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214035, P.R. China.
Chunlei SunDepartment of Breast Surgery, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214035, P.R. China.
Da PangDepartment of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, P.R. China.
Junqiang WuDepartment of Breast Surgery, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214035, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) serve key roles in tumorigenesis and are differentially expressed in cancer. Using bioinformatics and statistical methods, the present study aimed to identify an lncRNA signature to predict breast cancer survival. The gene expression data of 768 patients with breast cancer were downloaded from The Cancer Genome Atlas database, and Cox regression, Kaplan-Meier and receiver operating characteristic (ROC) analyses were performed to construct and validate a predictive model. Gene Ontology term enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analysis were employed to predict the functions of the indicated lncRNAs. A signature consisting of four lncRNAs, including

Indexed as

breast cancerlong non-coding RNAoverall survivalprognostic predictor

Identifiers

PMID31897133
PMCPMC6924049

What OpenQuestion holds

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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.