Evidence map›Paper›PMID 36304515›Full record

ArticleJournal of clinical and translational hepatology2022

A Prognostic Nomogram for Hepatocellular Carcinoma Based on Wound Healing and Immune Checkpoint Genes.

Beiyuan Hu, Xiaotian Shen, Wei Qin, Lan Zhang, Tiantian Zou, Qiongzhu Dong, Lun-Xiu Qin

Open access · diamondAbstract read
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Article in Journal of clinical and translational hepatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 48% 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

4 citing papers in PubMed, 4 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

7 authors at 1 institution in 1 country.

Beiyuan HuDepartment of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Xiaotian ShenDepartment of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Wei QinDepartment of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Lan ZhangDepartment of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Tiantian ZouDepartment of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Qiongzhu DongDepartment of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Lun-Xiu QinDepartment of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0003-4805-8239
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Wound healing and tumor progression share some common biological features; however, how variations in wound healing patterns affect hepatocellular carcinoma (HCC) prognosis remains unclear. Methods: We analyzed the wound healing patterns of 594 HCC samples from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) and correlated them with immune infiltration and the expression levels of immune checkpoint genes. A risk score, which we named the "heal.immune" score, was established via stepwise Cox estimation. We constructed a nomogram based on age, sex, TNM stage, and heal.immune score and explored its predictive value for HCC prognosis. Seventy-four clinical patients were enrolled in this study, and all were from Huashan Hospital of Fudan University between 2015 and 2017 to serve as an independent validation group. Results: We identified two distinct wound healing patterns in HCC. The biological processes of healing cluster 1 (C1) are related to metabolism, while those of healing cluster 2 (C2) are related to the inflammatory response and immune cell accumulation. A total of 565 wound healing-related genes (based on Gene Ontology) and 25 immune checkpoint genes were considered. By analyzing differentially expressed genes and implementing a stepwise Cox estimation analysis, six genes with Conclusions: We established a prognostic nomogram based on the heal.immune gene signature, which includes six wound healing- and immunity-related genes. This nomogram accurately predicts the OS of HCC patients.

Indexed as

BioinformaticsHepatocellular carcinomaImmune checkpointPrognosisWound healing

Identifiers

PMID36304515
PMCPMC9547254
OpenAlexW4206398924

What OpenQuestion holds

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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.