Evidence map›Paper›PMID 35402624›Full record

ArticleJournal of immunology research2022

A Novel Gene Signature Based on CDC20 and FCN3 for Prediction of Prognosis and Immune Features in Patients with Hepatocellular Carcinoma.

Xing Lai, Ya-Kun Wu, Guo-Qing Hong, Jun-Ke Li, Qing Luo, Jin Yuan, Guo-Hua Dai, Shuang-Quan Liu, Hua-Guo Feng

Open access · goldAbstract read
In one paragraph

Article in Journal of immunology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 13% 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, 13 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.

Xing LaiDepartment of Hepatobiliary Surgery, The Tongnan District People's Hospital, Chongqing, China.
Ya-Kun WuDepartment of Hepatobiliary Surgery, The Suining Central Hospital, Suining, China.
Guo-Qing HongDepartment of Hepatobiliary Surgery, The Tongnan District People's Hospital, Chongqing, China.
Jun-Ke LiDepartment of Hepatobiliary Surgery, The Tongnan District People's Hospital, Chongqing, China.
Qing LuoDepartment of Hepatobiliary Surgery, The Tongnan District People's Hospital, Chongqing, China.
Jin YuanDepartment of Infection Diseases, the Chongqing University Jiangjin Hospital, School of Medicine, Chongqing University, Chongqing, China.
Guo-Hua DaiDepartment of Hepatobiliary Surgery, the Chongqing University Jiangjin Hospital, School of Medicine, Chongqing University, Chongqing, China.
Shuang-Quan LiuDepartment of Hepatobiliary Surgery, the Chongqing University Jiangjin Hospital, School of Medicine, Chongqing University, Chongqing, China.ORCID https://orcid.org/0000-0002-4086-0502
Hua-Guo FengDepartment of Hepatobiliary Surgery, the Chongqing University Jiangjin Hospital, School of Medicine, Chongqing University, Chongqing, China.ORCID https://orcid.org/0000-0002-4669-1703
Chongqing University · CNSuizhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term survivals of patients with hepatocellular carcinoma (HCC) remain unfavorable, which is largely attributed to active carcinogenesis. Growing studies have suggested that the reliable gene signature could act as an independent prognosis factor for HCC patients. We tried to screen the survival-related genes and develop a prognostic prediction model for HCC patients based on the expression profiles of the critical survival-related genes. In this study, we analyzed TCGA datasets and identified 280 genes with differential expressions (125 increased genes and 155 reduced genes). We analyzed the prognosis value of the top 10 dysregulated genes in HCC patients and identified three critical genes, including FCN3, CDC20, and E2F1, which were confirmed to be associated with long-term survival in both TCGA and ICGC datasets. The results of the LASSO model screened CDC20 and FCN3 for the development of the prognostic model. The CDC20 expression was distinctly increased in HCC specimens, while the FCN3 expression was distinctly decreased in HCC. At a suitable cutoff, patients were divided into low-risk and high-risk groups. Survival assays revealed that patients in high-risk groups exhibited a shorter overall survival than those in low-risk groups. Finally, we examine the relationships between risk score and immune infiltration abundance in HCC and observed that risk score was positively correlated with infiltration degree of B cells, T cell CD4+ cells, neutrophil, macrophage, and myeloid dendritic cells. Overall, we identified three critical survival-related genes and used CDC20 and FCN3 to develop a novel model for predicting outcomes and immune landscapes for patients with HCC. The above three genes also have a high potential for targeted cancer therapy of patients with HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsCdc20 ProteinsCell Cycle ProteinsHumansLectinsPrognosisCDC20 protein, humanCdc20 ProteinsCell Cycle ProteinsFCN3 protein, humanLectins

Identifiers

PMID35402624
PMCPMC8986430
OpenAlexW4220791829

What OpenQuestion holds

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LicenceCC BY
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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.