Evidence map›Paper›PMID 28978132›Full record

ArticleOncotarget2017

Expression profiles analysis reveals an integrated miRNA-lncRNA signature to predict survival in ovarian cancer patients with wild-type BRCA1/2.

Liyuan Guo, Yan Peng, Yuanyuan Meng, Yunduo Liu, Shangshang Yang, Hong Jin, Qi Li

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

21 citing papers in PubMed, 45 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

7 authors at 3 institutions in 1 country.

Liyuan GuoGynecological Cancer Department, Harbin Medical University Cancer Hospital, Harbin 150081, China.
Yan PengDisease Prevention Center, First Affiliated Hospital of Heilongjiang University of Chinese Traditional Medicine, Harbin 150040, China.
Yuanyuan MengGynecological Cancer Department, Harbin Medical University Cancer Hospital, Harbin 150081, China.
Yunduo LiuGynecological Cancer Department, Harbin Medical University Cancer Hospital, Harbin 150081, China.
Shangshang YangGynecological Cancer Department, Harbin Medical University Cancer Hospital, Harbin 150081, China.
Hong JinGynecological Cancer Department, Harbin Medical University Cancer Hospital, Harbin 150081, China.
Qi LiGynecological Cancer Department, Harbin Medical University Cancer Hospital, Harbin 150081, China.
Harbin Medical University · CNThird Affiliated Hospital of Harbin Medical University · CNFirst Affiliated Hospital of Heilongjiang University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging evidence shows that dysregulated expression of microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) were closely linked with disease progression, including cancers. However, the joint predictive power of miRNAs and lncRNAs in prognosis for ovarian cancer (OV) patients with wild-type BRCA1/2 is as yet unknown. In this study, we sought to assess the joint predictive power of miRNAs and lncRNAs by integrating miRNA and lncRNA expression profiles and clinical data of 281 OV patients with wild-type BRCA1/2 from The Cancer Genome Atlas (TCGA) project. Finally, we identified an integrated miRNA-lncRNA signature composing of two lncRNAs (

Indexed as

BRCA1/2long non-coding RNAmicroRNAovarian cancerprognosis

Identifiers

PMID28978132
PMCPMC5620272
OpenAlexW2738654651

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.