Evidence map›Paper›PMID 31564902›Full record

ArticleOncoTargets and therapy2019

STAT gene family mRNA expression and prognostic value in hepatocellular carcinoma.

Zhitao Dong, Yi Chen, Cheng Yang, Meng Zhang, Aixue Chen, Jiamei Yang, Yangqing Huang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in OncoTargets and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 40 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

7 authors at 3 institutions in 1 country.

Zhitao Dong *Department of Special Treatment, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, 200438, People's Republic of China.
Yi Chen *Department of Hepatobiliary Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai 200083, People's Republic of China.
Cheng Yang *Department of Special Treatment, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, 200438, People's Republic of China.
Meng ZhangDepartment of Hepatobiliary Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai 200083, People's Republic of China.
Aixue ChenDepartment of Hepatobiliary Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai 200083, People's Republic of China.
Jiamei YangDepartment of Special Treatment, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, 200438, People's Republic of China.
Yangqing HuangDepartment of Hepatobiliary Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai 200083, People's Republic of China.
Shanghai Public Health Clinical Center · CNEastern Hepatobiliary Surgery Hospital · CNSecond Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSignal transducer and activator of transcription (STAT) proteins are well-known transcription factors that play an important role in the progression of cancer. However, the association between STAT family genes and hepatocellular carcinoma (HCC) remains unclear. This study investigates the expression level, the prognostic value and the potential mechanism of STAT family genes in HCC.

methodsData from 365 HCC patients in The Cancer Genome Atlas (TCGA) database and 241 HCC patients in the Gene Expression Omnibus (GEO) database were used to investigate the diagnostic and prognostic values of STAT genes by survival analysis and nomogram. Gene set enrichment analysis (GSEA) was used to investigate the potential mechanism of the STAT genes in the development of HCC.

resultsOur results showed that

conclusionOur data suggest that

Indexed as

GSEAhepatocellular carcinomaprognosissignal transducer and activator of transcriptionTCGA

Identifiers

PMID31564902
PMCPMC6731967
OpenAlexW2972200768

What OpenQuestion holds

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LicenceCC BY-NC
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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.