Evidence map›Paper›PMID 34980144›Full record

ArticleWorld journal of surgical oncology2022

Screening and analysis of RNAs associated with activated memory CD4 and CD8 T cells in liver cancer.

Zhang Yan, Yin Lijuan, Wu Yinhang, Jin Yin, Xu Jiamin, Wu Wei, Pan Yuefen, Han Shuwen

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 25 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

8 authors at 3 institutions in 1 country.

Zhang YanDepartment of Infectious Disease, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, No.1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China.
Yin LijuanDepartment of Rheumatology, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, No.1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China.
Wu YinhangGraduate School of Second Clinical Medicine Faculty, Zhejiang Chinese Medical University, No. 548 Binwen Road, Binjiang District, Hangzhou, 310053, Zhejiang Province, China.
Jin YinDepartment of Laboratory Medicine, Huzhou Hospital of Zhejiang University, Affiliated Central Hospital Huzhou University, No.1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China.
Xu JiaminDepartment of Nursing, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, No. 568 North Zhongxing Road, Yuecheng District, Shaoxing, 312000, Zhejiang Province, China.
Wu WeiDepartment of Gastroenterology, Huzhou Hospital of Zhejiang University, Affiliated Central Hospital Huzhou University, No.1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China.
Pan YuefenDepartment of Oncology, Huzhou Hospital of Zhejiang University, Affiliated Central Hospital Huzhou University, No.1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China. panyuefen663253@163.com.
Han ShuwenDepartment of Oncology, Huzhou Hospital of Zhejiang University, Affiliated Central Hospital Huzhou University, No.1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China. shuwenhan985@163.com.ORCID http://orcid.org/0000-0001-6180-9565
Huzhou University · CNShaoxing People's Hospital · CNZhejiang Chinese Medical University · CN

Funding

Welfare Technology Application Research Program of Huzhou No. 2019GY01
6 · The paper itself

Abstract

backgroundLiver cancer is one of the most common malignant tumors in the world. T cell-mediated antitumor immune response is the basis of liver cancer immunotherapy.

objectiveTo screen and analyze the RNAs associated with activated memory CD4 T cells and CD8 T cells in liver cancer.

methodsESTIMATE was used to calculate the stromal and immune scores of tumor samples, which were downloaded from The Cancer Genome Atlas (TCGA). The differentially expressed genes (DEGs) in high and low stromal and immune scores were screened, followed by functional enrichment of overlapped DEGs. We then conducted a survival analysis to identify immune-related prognostic indicators and constructed protein-protein interaction (PPI) networks and ceRNA networks. Finally, chemical small-molecule-target interaction pairs associated with liver cancer were screened.

resultsA total of 55,955 stromal-related DEGs and 1811 immune-related DEGs were obtained. The 1238 overlapped DEGs were enriched in 1457 biological process terms and 74 KEGG pathways. In addition, a total of 120 activated memory CD4 T cell-related genes and 309 CD8 T cell-related genes were identified. The survival analysis revealed that upregulated expression of T cell-related genes including EOMES, CST7, and CD5L indicated the favorable prognosis of liver cancer. EOMES was regulated by has-miR-23b-3p and has-miR-23b-3p was regulated by lncRNA AC104820.2 in the ceRNA network of activated memory CD4 T cell-related genes. In addition, EOMES was regulated by has-miR-23a-3p and has-miR-23a-3p was regulated by lncRNA AC000476.1 in the ceRNA network of CD8 T cells.

conclusionT cell-related RNAs EOMES, CST7, CD5L, has-miR-23b-3p, and has-miR-23a-3p may be associated with the prognosis of liver cancer. And the molecular characteristics of these T cell-related genes were plotted.

Indexed as

Liver NeoplasmsMicroRNAsCD8-Positive T-LymphocytesEarly Detection of CancerGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMicroRNAsCeRNA networkDifferentially expressed analysisImmune-related genesLiver cancerSurvival analysisT cells

Identifiers

PMID34980144
PMCPMC8725365
OpenAlexW4205855408

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.