Evidence map›Paper›PMID 39071637›Full record

ArticleHeliyon2024

Constructing an immune-related prognostic signature for predicting prognosis and immune response in hepatocellular carcinoma.

Lichao Cao, Deliang Huang, Shenrui Zhang, Zhiwei Li, Qingxian Cai, Fang Chen, Meilan Zhu, Ying Ba, Jun Chen, Hezi Zhang

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

10 authors.

Lichao CaoShenzhen Nucleus Gene Technology Co., Ltd., 518071, Shenzhen, Guangdong Province, China.
Deliang HuangDepartment of Liver Diseases, The Third People's Hospital of Shenzhen, The Second Affiliated Hospital of Southern University of Science and Technology, 518100, Shenzhen, Guangdong Province, China.
Shenrui ZhangShenzhen Nucleus Gene Technology Co., Ltd., 518071, Shenzhen, Guangdong Province, China.
Zhiwei LiDepartment of Liver Diseases, The Third People's Hospital of Shenzhen, The Second Affiliated Hospital of Southern University of Science and Technology, 518100, Shenzhen, Guangdong Province, China.
Qingxian CaiDepartment of Liver Diseases, The Third People's Hospital of Shenzhen, The Second Affiliated Hospital of Southern University of Science and Technology, 518100, Shenzhen, Guangdong Province, China.
Fang ChenShenzhen Nucleus Gene Technology Co., Ltd., 518071, Shenzhen, Guangdong Province, China.
Meilan ZhuShenzhen Nucleus Gene Technology Co., Ltd., 518071, Shenzhen, Guangdong Province, China.
Ying BaShenzhen Nucleus Gene Technology Co., Ltd., 518071, Shenzhen, Guangdong Province, China.
Jun ChenDepartment of Liver Diseases, The Third People's Hospital of Shenzhen, The Second Affiliated Hospital of Southern University of Science and Technology, 518100, Shenzhen, Guangdong Province, China.
Hezi ZhangShenzhen Nucleus Gene Technology Co., Ltd., 518071, Shenzhen, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Currently, there are few studies on immune-related prognostic analysis of hepatocellular carcinoma (HCC). Our aim was to establish an immune-correlated prognostic model for HCC. Methods: Immune-associated cells were obtained from the scRNA-seq dataset (GSE149614) of HCC. Differentially expressed genes between normal and tumor cells from immune-associated cells and the immune-related genes from the ImmPort database were used to identify immune-related differentially expressed genes (IRDEGs). Subsequently, the risk model was established in the TCGA-LIHC cohort (n = 438) from the Cancer Genome Atlas (TCGA) database by using Kaplan-Meier (K-M) survival curve, univariate/multivariate Cox regression analysis. Subsequently, we further analyzed tumor immune microenvironment characteristics, somatic mutation, immune checkpoint and its ligand expression levels between high- and low-risk groups, as well as drug sensitivity prediction. ICGC cohort was set as the validation cohort. TCGA-LIHC cohort and three independent the Gene Expression Omnibus (GEO) datasets (GSE54236, GSE14520, and GSE64041) was used to verify IRDEGs expression, as well as PCR assays using clinical samples. Results: The IRDEGs was composed of 4 genes, namely B2M, SPP1, PPIA, and HRG. The 438 HCC patients were divided into high- and low-risk group. The high-risk group was associated with poor prognosis, including higher T stage, advanced pathological stages, less immune cell infiltration, higher TP53 mutation rate, the high expression of CTLA4 and HAVCR2. Besides, high-risk populations benefit from most chemotherapy drugs. Similarly, the performance of the risk model was validated in the ICGC. All four datasets (TCGA-LIHC cohort, GSE54236, GSE14520, and GSE64041) and clinical q-PCR results demonstrated that, compared with normal samples, the expressions of B2M and HRG were lower in tumor samples, and the expression of SPP1 was higher. Conclusion: In summary, the immune-related prognostic signature had a good predictive performance on prognosis and immunotherapy for HCC patients.

Indexed as

Hepatocellular carcinomaImmunotherapyPrognosisTumor immune microenvironment

Identifiers

PMID39071637
PMCPMC11282973

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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.