Evidence map›Paper›PMID 26549855›Full record

ArticleScientific reports2015

A potential prognostic long non-coding RNA signature to predict metastasis-free survival of breast cancer patients.

Jie Sun, Xihai Chen, Zhenzhen Wang, Maoni Guo, Hongbo Shi, Xiaojun Wang, Liang Cheng, Meng Zhou

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

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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

71 citing papers in PubMed.

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  17. Genomic Profiling Comparison of GermlineFrontiers in oncology · 2020
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11 more citing papers are in PubMed but not listed here.

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.

Jie SunCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
Xihai ChenDepartment of General Surgery, The Fourth Affiliated Hospital, Harbin medical university, Harbin 150081, China.
Zhenzhen WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
Maoni GuoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
Hongbo ShiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
Xiaojun WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
Liang ChengCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
Meng ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) have been implicated in a variety of biological processes, and dysregulated lncRNAs have demonstrated potential roles as biomarkers and therapeutic targets for cancer prognosis and treatment. In this study, by repurposing microarray probes, we analyzed lncRNA expression profiles of 916 breast cancer patients from the Gene Expression Omnibus (GEO). Nine lncRNAs were identified to be significantly associated with metastasis-free survival (MFS) in the training dataset of 254 patients using the Cox proportional hazards regression model. These nine lncRNAs were then combined to form a single prognostic signature for predicting metastatic risk in breast cancer patients that was able to classify patients in the training dataset into high- and low-risk subgroups with significantly different MFSs (median 2.4 years versus 3.0 years, log-rank test p < 0.001). This nine-lncRNA signature was similarly effective for prognosis in a testing dataset and two independent datasets. Further analysis showed that the predictive ability of the signature was independent of clinical variables, including age, ER status, ESR1 status and ERBB2 status. Our results indicated that lncRNA signature could be a useful prognostic marker to predict metastatic risk in breast cancer patients and may improve upon our understanding of the molecular mechanisms underlying breast cancer metastasis.

Indexed as

RNA, Long NoncodingTranscriptomeBiomarkers, TumorBreast NeoplasmsCluster AnalysisComputational BiologyDatabases, Nucleic AcidDatasets as TopicFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateNeoplasm MetastasisNeoplasm StagingPrognosisBiomarkers, TumorRNA, Long Noncoding

Identifiers

PMID26549855
PMCPMC4637883

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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.