Evidence map›Paper›PMID 27897214›Full record

ArticleScientific reports2016

LINC00978 predicts poor prognosis in breast cancer patients.

Lin-Lin Deng, Ya-Yun Chi, Lei Liu, Nai-Si Huang, Lin Wang, Jiong Wu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 10% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 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

6 authors at 4 institutions in 1 country.

Lin-Lin DengDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, 200032, China.
Ya-Yun ChiDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, 200032, China.
Lei LiuDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, 200032, China.
Nai-Si HuangDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, 200032, China.
Lin WangDepartment of General Surgery, the Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Jiong WuDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, 200032, China.
Fudan University Shanghai Cancer Center · CNNanchang University · CNShanghai Medical College of Fudan University · CNSouth China Institute of Collaborative Innovation · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most frequently diagnosed cancer and the leading cause of cancer death among women worldwide. Long non-coding RNAs (lncRNAs) are a class of non-coding RNAs in the human genome that involves in breast cancer development and progression. Here, we identify a lncRNA, LINC00978, which is upregulated in breast cancer cell lines and tissues compared with corresponding controls. Furthermore, LINC00978 expression is negatively associated with hormone receptor (HR) status in 195 breast cancer patients studied (p = 0.033). Kaplan-Meier survival analysis shows that patients with high LINC00978 expression have poorer disease-free survival (DFS) than those with low LINC00978 expression (p = 0.012), and multivariate analysis identifies LINC00978 as an independent prognostic factor in breast cancer (p = 0.008, hazard ratio [HR] = 2.270, 95% confidence interval [CI] 1.237-4.165). Our study indicates that LINC00978 may be an oncogene in breast cancer, and can serve as a potential biomarker to predict prognosis in breast cancer patients.

Indexed as

Biomarkers, TumorBreast NeoplasmsCohort StudiesDisease ProgressionFemaleHumansMiddle AgedPrognosisRNA, Long NoncodingSurvival RateBiomarkers, TumorMIR4435-2HG long non-coding RNA, humanRNA, Long Noncoding

Identifiers

PMID27897214
PMCPMC5126584
OpenAlexW2558105034

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.