Evidence map›Paper›PMID 34975331›Full record

ArticleInternational journal of biological sciences2022

Identification and Validation of a Prognostic Model Based on Three MVI-Related Genes in Hepatocellular Carcinoma.

Yongchang Tang, Lei Xu, Yupeng Ren, Yuxuan Li, Feng Yuan, Mingbo Cao, Yong Zhang, Meihai Deng, Zhicheng Yao

Abstract readValidation Study
In one paragraph

Article in International journal of biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

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

47 citing papers in PubMed.

  1. Trial
  2. Review
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  4. Multi-omics characterization of cachexia-related genes reveals prognostic signatures and immune landscape in breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  8. Review
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  10. Observational
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  16. Identifying key predictors of mortality and liver decompensation in hepatocellular carcinoma patients treated with transarterial radioembolization.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association · 2025
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  17. Article
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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.

Yongchang TangDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510630, China.
Lei XuDepartment of Nuclear Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, China.
Yupeng RenDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510630, China.
Yuxuan LiDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510630, China.
Feng YuanDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510630, China.
Mingbo CaoDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510630, China.
Yong ZhangDepartment of Nuclear Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510630, China.
Meihai DengDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510630, China.
Zhicheng YaoDepartment of General Surgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510630, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MVI has significant clinical value for treatment selection and prognosis evaluation in hepatocellular carcinoma (HCC). We aimed to construct a model based on MVI-Related Genes (MVIRGs) for risk assessment and prognosis prediction in patients with HCC. This study utilized various statistical analysis methods for prognostic model construction and validation in the Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) cohorts, respectively. In addition, immunohistochemistry and qRT-PCR were used to analyze and identify the value of the model in our cohort. After the analyses, 153 differentially expressed MVIRGs were identified, and three key genes were selected to construct a prognostic model. The high-risk group showed significantly lower overall survival (OS), and this trend was observed in all subgroups: different age groups, genders, stages, and grades. Risk score was a risk factor independent of age, gender, stage, and grade. Moreover, the ICGC cohort validated the prognostic value of the model corresponding to the TCGA. In our cohort, qRT-PCR and immunohistochemistry showed that all three genes had higher expression levels in HCC samples than in normal controls. High expression levels of genes and high-risk scores showed significantly lower recurrence-free survival (RFS) and OS, especially in MVI-positive HCC samples. Therefore, the prognostic model constructed by three MVIRGs can reliably predict the RFS and OS of patients with HCC and is valuable for guiding clinical treatment selection and prognostic assessment of HCC.

Indexed as

Models, StatisticalArginaseCarcinoma, HepatocellularCell Cycle ProteinsDisease-Free SurvivalHumansLiver NeoplasmsMonocarboxylic Acid TransportersPredictive Value of TestsRisk FactorsSymportersARG2 protein, humanArginaseCell Cycle ProteinsDBF4 protein, humanMonocarboxylic Acid TransportersSLC16A3 protein, humanSymportersHepatocellular CarcinomaMVIMVI-related GenePrognostic Model

Identifiers

PMID34975331
PMCPMC8692135

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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.