Evidence map›Paper›PMID 28693260›Full record

ArticleOncology letters2017

MicroRNA expression profiling in patients with hepatocellular carcinoma of familial aggregation and hepatitis B virus infection.

Er-Lei Zhang, Jin Gu, Zun-Yi Zhang, Ke-Shuai Dong, Bin-Yong Liang, Zhi-Yong Huang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 46% 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

4 citing papers in PubMed, 4 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

6 authors at 2 institutions in 1 country.

Er-Lei ZhangHepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Jin GuHepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Zun-Yi ZhangHepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Ke-Shuai DongHepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Bin-Yong LiangHepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Zhi-Yong HuangHepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Huazhong University of Science and Technology · CNTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous studies have suggested that microRNAs (miRNAs) potently affect hepatocarcinogenesis. However, the miRNA expression profiling in patients with hepatocellular carcinoma (HCC) of familial aggregation and hepatitis B virus (HBV) infection has not been elucidated. In the present study, the plasma miRNA expression profiles of 3 patients with HCC with familial aggregation of HCC and HBV infection and 1 healthy volunteer were examined by microarray analysis, in order to identify relevant miRNAs involved in the pathogenesis of HCC with familial aggregation and HBV infection. The results indicated that 26 miRNAs exhibited a ≥20-fold increase or decrease in the plasma of patients with HCC, compared with the healthy control (24 upregulated and 2 downregulated). Among these altered miRNAs, 15 of them have been reported in HCC. The other 11 miRNAs have never been reported in HCC. These differentially-expressed miRNAs may be potential molecular markers for HCC pathogenesis and development.

Indexed as

familial aggregationhepatitis B virushepatocellular carcinomamicroarray profilingmicroRNA

Identifiers

PMID28693260
PMCPMC5494791
OpenAlexW2615500618

What OpenQuestion holds

Textmetadata
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.