Evidence map›Paper›PMID 33726698›Full record

ArticleBMC cancer2021

Identification of a five-immune gene model as an independent prognostic factor in hepatocellular carcinoma.

Haitao Chen, Yueying Li, Shu-Yuan Xiao, Jianchun Guo

Abstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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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

5 citing papers in PubMed.

  1. Translational cancer research · 2025
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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.

Haitao Chen *Department of Orthopedic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Yueying Li *Department of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Shu-Yuan XiaoDepartment of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China. syxiao@whu.edu.cn.
Jianchun GuoDepartment of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China. spring0324@126.com.ORCID http://orcid.org/0000-0002-7793-5432

Funding

Health Commission of Hubei Province scientific research project WJ2019H006
6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is a common malignant tumor with a poor prognosis. We aimed to identify a new prognostic model of HCC based on differentially expressed (DE) immune genes.

methodsThe DE immune genes were identified based on an analysis of 374 cases of HCC and 50 adjacent non-tumor specimens from the Cancer Genome Atlas (TCGA) database. Univariate Cox analysis, Lasso regression, and multivariate Cox analysis were used to construct the model based on the training group. Survival analysis and the receiver operating characteristic (ROC) curves were used to evaluate model performance. The testing group and the entire group were subsequently used for validation of the model.

resultsA five-immune gene model consisted of HSPA4, ISG20L2, NDRG1, EGF, and IL17D was identified. Based on the model, the overall survival was significantly different between the high-risk and low-risk groups (P = 7.953e-06). The AUCs for the model at 1- and 3-year were 0.849 and 0.74, respectively. The reliability of the model was confirmed using the validation groups. The risk score was identified as an independent prognostic parameter and closely related to the content of immune cells from human HCC specimens.

conclusionWe identified a five-immune gene model that can be used as an independent prognostic marker for HCC.

Indexed as

Models, GeneticBiomarkers, TumorCarcinoma, HepatocellularComputational BiologyDatasets as TopicFeasibility StudiesFemaleFollow-Up StudiesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateLiverLiver NeoplasmsMaleMiddle AgedBiomarkers, TumorHepatocellular carcinomaImmune genePathologyPrognosisRisk model

Identifiers

PMID33726698
PMCPMC7962305

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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.