Evidence map›Paper›PMID 32953265›Full record

ArticlePeerJ2020

Identification of a prognostic signature of nine metabolism-related genes for hepatocellular carcinoma.

Chaozhi Tang, Jiakang Ma, Xiuli Liu, Zhengchun Liu

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  6. [Value of prediction models for prognosis prediction of colorectal cancer: an analysis based on TCPA database].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2021
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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

4 authors at 3 institutions in 1 country.

Chaozhi Tang *Department of Urology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
Jiakang Ma *Department of Oncology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xiuli LiuDepartment of Oncology, Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China.
Zhengchun LiuDepartment of Radiation Oncology, Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China.
Guilin Medical University · CNChina Medical University · CNSecond Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is the fifth most common cancer. Since changes in liver metabolism contribute to liver disease development, it is necessary to build a metabolism-related prognostic model for HCC.

methodsWe constructed a metabolism-related-gene (MRG) signature comprising nine genes, which segregated HCC patients into high- and low-risk groups.

resultsThe survival rate (overall survival: OS; relapse-free survival; and progression-free survival) of patients in the low-risk group of The Cancer Genome Atlas (TCGA) cohort was significantly higher than that of patients in the high-risk group. The OS prognostic signature was validated in the International Cancer Genome Consortium independent cohort. The corresponding receiver operating characteristic curves of the model indicated that the signature had good diagnostic efficiency, in terms of improving OS over 1, 3, and 5 years. Hierarchical analysis demonstrated that the MRG signature was significantly associated with better prognosis in male patients, patients aged ≤ 65 years, and patients carrying the wild-type

conclusionsWe believe that these findings will add value in terms of the diagnosis, treatment, and prognosis of HCC.

Indexed as

Gene Expression OmnibusHepatocellular carcinomaMetabolism-related genesPrognostic signatureThe Cancer Genome Atlas

Identifiers

PMID32953265
PMCPMC7473097
OpenAlexW3082196414

What OpenQuestion holds

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Registered trials

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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.