Evidence map›Paper›PMID 32180800›Full record

ArticleFrontiers in genetics2020

Identification of 13 Key Genes Correlated With Progression and Prognosis in Hepatocellular Carcinoma by Weighted Gene Co-expression Network Analysis.

Yang Gu, Jun Li, Deliang Guo, Baiyang Chen, Pengpeng Liu, Yusha Xiao, Kang Yang, Zhisu Liu, Quanyan Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.9field-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

33 citing papers in PubMed, 47 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

9 authors at 2 institutions in 1 country.

Yang GuDepartment of Hepatobiliary and Pancreas Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jun LiDepartment of Hepatobiliary and Pancreas Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Deliang GuoDepartment of Hepatobiliary and Pancreas Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Baiyang ChenDepartment of Hepatobiliary and Pancreas Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Pengpeng LiuDepartment of Hepatobiliary and Pancreas Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yusha XiaoDepartment of Hepatobiliary and Pancreas Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Kang YangDepartment of Hepatobiliary and Pancreas Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Zhisu LiuDepartment of Hepatobiliary and Pancreas Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Quanyan LiuDepartment of Hepatobiliary and Pancreas Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Zhongnan Hospital of Wuhan University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) remains hard to diagnose early and cure due to a lack of accurate biomarkers and effective treatments. Hence, it is necessary to explore the tumorigenesis and tumor progression of HCC to discover new biomarkers for clinical treatment. We performed weighted gene co-expression network analysis (WGCNA) to explore hub genes that have high correlation with clinical information. In this study, we found 13 hub genes (

Indexed as

bioinformaticsbiomarkerhepatocellular carcinomaquantitative real-time PCRweighted gene co-expression network analyses

Identifiers

PMID32180800
PMCPMC7059753
OpenAlexW3007583096

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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.