Evidence map›Paper›PMID 27271671›Full record

ArticleGenes2016

A Multi-Step miRNA-mRNA Regulatory Network Construction Approach Identifies Gene Signatures Associated with Endometrioid Endometrial Carcinoma.

Hanzhen Xiong, Qiulian Li, Ruichao Chen, Shaoyan Liu, Qiongyan Lin, Zhongtang Xiong, Qingping Jiang, Linlang Guo

Open access · goldAbstract read
In one paragraph

Article in Genes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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 at 3 institutions in 1 country.

Hanzhen XiongDepartment of Pathology, Zhujiang Hospital, Southern Medical University, Guangzhou 510515, China. xionghanzhen@126.com.
Qiulian LiDepartment of Pathology, the Third Affiliated Hospital, Guangzhou Medical University, Guangzhou 510150, China. qiulianli12@sina.com.
Ruichao ChenDepartment of Pathology, the Third Affiliated Hospital, Guangzhou Medical University, Guangzhou 510150, China. ruichaochen1@sina.com.
Shaoyan LiuDepartment of Pathology, the Third Affiliated Hospital, Guangzhou Medical University, Guangzhou 510150, China. shaoyanliu2009@sina.com.
Qiongyan LinDepartment of Gynaecology, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou 510150, China. wotooqiwawa@163.com.
Zhongtang XiongDepartment of Pathology, the Third Affiliated Hospital, Guangzhou Medical University, Guangzhou 510150, China. zhongtangxiong2008@163.com.
Qingping JiangDepartment of Pathology, the Third Affiliated Hospital, Guangzhou Medical University, Guangzhou 510150, China. jiangqp2003@126.com.
Linlang GuoDepartment of Pathology, Zhujiang Hospital, Southern Medical University, Guangzhou 510515, China. linlangguo1@sina.com.
Guangzhou Medical University · CNZhujiang Hospital · CNThird Affiliated Hospital of Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to identify endometrioid endometrial carcinoma (EEC)-related gene signatures using a multi-step miRNA-mRNA regulatory network construction approach. Pathway analysis showed that 61 genes were enriched on many carcinoma-related pathways. Among the 14 highest scoring gene signatures, six genes had been previously shown to be endometrial carcinoma. By qRT-PCR and next generation sequencing, we found that a gene signature (CPEB1) was significantly down-regulated in EEC tissues, which may be caused by hsa-miR-183-5p up-regulation. In addition, our literature surveys suggested that CPEB1 may play an important role in EEC pathogenesis by regulating the EMT/p53 pathway. The miRNA-mRNA network is worthy of further investigation with respect to the regulatory mechanisms of miRNAs in EEC. CPEB1 appeared to be a tumor suppressor in EEC. Our results provided valuable guidance for the functional study at the cellular level, as well as the EEC mouse models.

Indexed as

CPEB1EMTendometrial carcinomamiRNA targetsp53protein-protein interaction network

Identifiers

PMID27271671
PMCPMC4929425
OpenAlexW2410330859

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.