Evidence map›Paper›PMID 29713196›Full record

ArticleCancer management and research2018

Identification of potential prognostic microRNA biomarkers for predicting survival in patients with hepatocellular carcinoma.

Xiwen Liao, Guangzhi Zhu, Rui Huang, Chengkun Yang, Xiangkun Wang, Ketuan Huang, Tingdong Yu, Chuangye Han, Hao Su, Tao Peng

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.1field-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

31 citing papers in PubMed, 59 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

10 authors at 1 institution in 1 country.

Xiwen LiaoDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Guangzhi ZhuDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Rui HuangDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Chengkun YangDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Xiangkun WangDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Ketuan HuangDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Tingdong YuDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Chuangye HanDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Hao SuDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Tao PengDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the present study was to identify potential prognostic microRNA (miRNA) biomarkers for hepatocellular carcinoma (HCC) prognosis prediction based on a dataset from The Cancer Genome Atlas (TCGA). MATERIALS AND

methodsA miRNA sequencing dataset and corresponding clinical parameters of HCC were obtained from TCGA. Genome-wide univariate Cox regression analysis was used to screen prognostic differentially expressed miRNAs (DEMs), and multivariable Cox regression analysis was used for prognostic signature construction. Comprehensive survival analysis was performed to evaluate the prognostic value of the prognostic signature.

resultsFive miRNAs were regarded as prognostic DEMs and used for prognostic signature construction. The five-DEM prognostic signature performed well in prognosis prediction (adjusted

conclusionOur study indicates that the novel miRNA expression signature may be a potential prognostic biomarker for HCC patients.

Indexed as

biomarkerhepatocellular carcinomamiRNAprognosisTCGA

Identifiers

PMID29713196
PMCPMC5912208
OpenAlexW2796494016

What OpenQuestion holds

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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.