Evidence map›Paper›PMID 26788155›Full record

ArticleOncology letters2015

Systematic analysis of the p53-related microRNAs in breast cancer revealing their essential roles in the cell cycle.

Enxiang Zhou, N A Hui, Min Shu, Baiping Wu, Jianlin Zhou

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
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  5. Review
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 3 institutions in 1 country.

Enxiang ZhouDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, P.R. China.
N A HuiKey Laboratory of Protein Chemistry and Developmental Biology of the Ministry of Education, College of Life Science, Hunan Normal University, Changsha, Hunan 410081, P.R. China.
Min ShuKey Laboratory of Protein Chemistry and Developmental Biology of the Ministry of Education, College of Life Science, Hunan Normal University, Changsha, Hunan 410081, P.R. China.
Baiping WuDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, P.R. China.
Jianlin ZhouKey Laboratory of Protein Chemistry and Developmental Biology of the Ministry of Education, College of Life Science, Hunan Normal University, Changsha, Hunan 410081, P.R. China.
Hunan Normal University · CNCentral South University · CNSecond Xiangya Hospital of Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous miRNAs have been found to be involved in the regulation of the p53 signaling pathway. Conversely, p53 regulates the transcription or processing of microRNAs (miRNAs). Given that complexities in the association between p53 and miRNAs exist, and due to the rapidly increasing amount of literature regarding the interactions between p53 and miRNAs, the present study systematically analyzed the associations between miRNAs and p53 in breast cancer using a literature-based discovery approach, natural language processing. A total of 22 miRNAs were found to be associated with p53. Next, three popular online tools (PicTar, miRanda and TargetScan) were used to predict the targets of each miRNA, and certain targets were validated by experiments. Gene Ontology annotation and network analysis demonstrated that the majority of the targets of the p53-related miRNAs were enriched in the cell cycle process. These results suggest that, in addition to regulating the transcription of cell cycle-related genes, p53 also indirectly modulates the cell cycle via miRNAs.

Indexed as

breast cancercell cyclemicroRNAnatural language processingp53

Identifiers

PMID26788155
PMCPMC4665839
OpenAlexW2106206912

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.