Evidence map›Paper›PMID 31258761›Full record

ArticleJournal of Cancer2019

Identifying miRNA-mRNA Pairs and Novel miRNAs from Hepatocelluar Carcinoma miRNomes and TCGA Database.

Ping Wu, Yunyue Xiao, Tao Guo, Yitao Wang, Shanshan Liao, Lang Chen, Zhisu Liu

Abstract read
In one paragraph

Article in Journal of Cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Review
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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.

Ping WuDepartment of Hepatobiliary and Pancreas, Research Center of Digestive Diseases, Zhongnan Hospital of Wuhan University, Wuhan, 430071, P.R. China.
Yunyue XiaoInstitute of Digestive, Southwest Hospital, Third Military Medical University, Chongqing 400038, P.R. China.
Tao GuoDepartment of Hepatobiliary and Pancreas, Research Center of Digestive Diseases, Zhongnan Hospital of Wuhan University, Wuhan, 430071, P.R. China.
Yitao WangDepartment of Hepatobiliary and Pancreas, Research Center of Digestive Diseases, Zhongnan Hospital of Wuhan University, Wuhan, 430071, P.R. China.
Shanshan LiaoDepartment of Immunology, School of Basic Medical Sciences, Wuhan University, Wuhan, 430071, P.R. China.
Lang ChenDepartment of Immunology, School of Basic Medical Sciences, Wuhan University, Wuhan, 430071, P.R. China.
Zhisu LiuDepartment of Hepatobiliary and Pancreas, Research Center of Digestive Diseases, Zhongnan Hospital of Wuhan University, Wuhan, 430071, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence shows microRNAs (miRNAs) are engaged in hepatocelluar carcinoma (HCC). To identify novel feasible miRNA/mRNA pairs involved in hepatocarcinogenesis, an in-depth analysis of miRNomes in human non-tumor liver and HCC samples was carried out in this study. Firstly, differentially expressed miRNAs were obtained from deep sequencing of 15 liver samples, and verified in an independent data from The Cancer Genome Atlas (TCGA) database. Then, differentially expressed mRNA targets were selected from TCGA, and the differential miRNA/mRNA pairs with negative correlations were screened out. Finally, functional enrichment analysis was used to predict the functions of miRNA/mRNA pairs in HCC. In our study, 81 miRNA/mRNA pairs and 7 novel miRNAs were found. We constructed a hub interaction model with 9 miRNA/mRNA pairs to further investigate molecular mechanism of HCC. Survival analysis identified nine genes (hsa-miR-137, hsa-miR-490, BIRC5, TOP2A, CDC25C, IGF2BP1, IQGAP3, NCAPG and VIPR1) with significant influence on prognosis of HCC patients. In conclusion, the miRNA/mRNA pairs identified in our study may have some potential values to be further studied in progression, diagnosis and prognosis of HCC.

Identifiers

PMID31258761
PMCPMC6584348

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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.