Evidence map›Paper›PMID 35874741›Full record

ArticleFrontiers in immunology2022

Development and Verification of a Combined Immune- and Metabolism-Related Prognostic Signature for Hepatocellular Carcinoma.

Yuanyuan Guo, Jing Yang, Hua Gao, Xin Tian, Xiaojian Zhang, Quancheng Kan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

6 authors at 2 institutions in 1 country.

Yuanyuan GuoDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jing YangDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hua GaoDepartment of Radiotherapy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xin TianDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaojian ZhangDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Quancheng KanDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhengzhou University · CNFirst Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune escape and metabolic reprogramming are becoming important characteristics of tumor biology, which play critical roles in tumor initiation and progression. However, the integrative analysis of immune and metabolic characteristics for the tumor microenvironment in hepatocellular carcinoma (HCC) remains unclear. Herein, by univariate and least absolute shrinkage and selection operator (LASSO) Cox regression analyses, a prognostic signature associated with tumor microenvironment was established based on five immune- and metabolism-related genes (IMRGs), which was fully verified and evaluated in both internal and external cohorts. The C-index was superior to previously published HCC signatures, indicating the robustness and reliability of IMRGs prognostic signature. A nomogram was built based on IMRGs prognostic signature and various clinical parameters, such as age and T stage. The AUCs of nomogram at 1-, 3-, and 5-year (AUC = 0.829, 0.749, 0.749) were slightly better than that of IMRGs signature (AUC = 0.809, 0.734, 0.711). The relationship of risk score (RS) with immune checkpoint expressions, immunophenoscore (IPS), as well as microsatellite instability (MSI) together accurately predicted the treatment efficacy. Collectively, the IMRGs signature might have the potential to better predict prognostic risk, evaluate immunotherapy efficacy, and help personalize immunotherapy for HCC patients.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimatePrognosisReproducibility of ResultsTumor Microenvironmenthepatocellular carcinomaimmunemetabolismprognosisTME

Identifiers

PMID35874741
PMCPMC9304746
OpenAlexW4284888882

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.