Evidence map›Paper›PMID 35966304›Full record

ArticleTranslational cancer research2022

Identification of prognostic immune cells and potential immune-related markers in hepatocellular carcinoma.

Jialuo Mai, Xuefeng Hua, Zhen-Hua Bian, Yu Xia, Zhi-Bin Zhao, Minqiang Lu

Abstract read
In one paragraph

Article in Translational cancer research, 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
–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

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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.

  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.

Jialuo Mai *Department of HBP Surgery II, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Xuefeng Hua *Department of HBP Surgery II, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Zhen-Hua BianChronic Disease Laboratory, Institutes for Life Sciences, South China University of Technology, Guangzhou, China.
Yu XiaDepartment of HBP Surgery II, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Zhi-Bin ZhaoGuangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Minqiang LuDepartment of HBP Surgery II, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hepatocellular carcinoma (HCC) is one of the most common and deadly tumors worldwide. Immunotherapy has emerged as a promising strategy for HCC treatment, and understanding the immune microenvironment of HCC provides a theoretical basis for identifying new immune targets. However, the roles of immune components and their regulatory mechanisms in HCC require further clarified. Methods: By analyzing HCC expression profiles from The Cancer Genome Atlas (TCGA) database, we depicted the proportion profile of immune cells for each sample using the software CIBERSORTx. Using R packages, we also characterized the distribution of differentially expressed genes (DEGs) in immune cells, calculated the correlation coefficient between immune cells and common DEGs, and analyzed their biology function by Gene-Ontology analysis. Results: We found that seven immune cell types were related to the overall survival of HCC patients, and identified 3,692 differentially expressed immune-related genes, predominantly functioning in nucleic acid processing and metabolism. Moreover, 14 DEGs were identified as common candidates related to immune cells and overall survival. Conclusions: Our study not only presents an overview of the immune features of the microenvironment of HCC, but also provides potential targets related to immune components.

Indexed as

bioinformatic analysisHepatocellular carcinoma (HCC)The Cancer Genome Atlas (TCGA)tumor microenvironment (TME)

Identifiers

PMID35966304
PMCPMC9372241

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