Evidence map›Paper›PMID 28760736›Full record

ArticleBiology open2017

Targeting long non-coding RNA DANCR inhibits triple negative breast cancer progression.

Sha Sha, Dongya Yuan, Yuejun Liu, Baosan Han, Nanbert Zhong

Open access · goldAbstract read
In one paragraph

Article in Biology open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 4% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 108 citations in OpenAlex.

  1. Pooled it
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  7. Breast Cancer Chemoresistance: Insights into the Regulatory Role of lncRNA.International journal of molecular sciences · 2023
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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

5 authors at 4 institutions in 1 country.

Sha ShaDepartment of Medical Genetics, Peking University Health Science Center, Beijing, 100038 China.
Dongya YuanDepartment of Immunology and Microbiology, Xizang Minzu University, Xianyang, Shaanxi Province, 712082 China.
Yuejun LiuDepartment of General Surgery, Haifushan Hospital, Weifang, Shandong, 262605 China.
Baosan HanDepartment of General Surgery, Shanghai Jiaotong University Xinhua Hospital, Shanghai, 200240 China.
Nanbert ZhongDepartment of Medical Genetics, Peking University Health Science Center, Beijing, 100038 China nanbert.zhong@opwdd.ny.gov.ORCID http://orcid.org/0000-0001-7642-6508
Weifang Chinese Medicine Hospital · CNXizang Minzu University · CNPeking University · CNXinHua Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple negative breast cancer (TNBC) is non-responsive to conventional anti-hormonal and Her2-targeted therapies, making it necessary to identify new molecular targets for therapy. Long non-coding RNA anti-differentiation ncRNA (lncRNA DANCR) was identified participating in carcinogenesis of hepatocellular carcinoma, but its expression and potential role in TNBC progression is still unclear. In the present study, our results showed that DANCR expression was increased in TNBC tissues compared with the adjacent normal tissues using quantitative real-time PCR (qRT-PCR) in 63 TNBC specimens. Patients with higher DANCR expression correlated with worse TNM stages as well as a shorter overall survival (OS) using Kaplan-Meier analysis. When the endogenous DANCR was knocked-down via specific siRNA, cell proliferation and invasion were decreased obviously in the MDA-MB-231 cells.

Indexed as

Cancer stem cellDANCRLong non-coding RNATriple negative breast cancers (TNBC)

Identifiers

PMID28760736
PMCPMC5612229
OpenAlexW2740189552

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.