Evidence map›Paper›PMID 39559249›Full record

ArticleCancer management and research2024

Bioinformatics Analysis Reveals CDK1 and DLGAP5 as Key Modulators of Tumor Immune Cell Infiltration in Hepatocellular Carcinoma.

Jiajing Li, Qi Liu, Ting Zhang, Qian Du

Abstract read
In one paragraph

Article in Cancer management and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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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

4 authors.

Jiajing LiThe Diagnostics Laboratory, Affiliated Hospital to Zunyi Medical University, Zunyi, Guizhou, 563000, People's Republic of China.
Qi LiuAffiliated Hospital to Zunyi Medical University, Zunyi, Guizhou, 563000, People's Republic of China.
Ting ZhangAffiliated Hospital to Zunyi Medical University, Zunyi, Guizhou, 563000, People's Republic of China.
Qian DuDepartment of Endoscopy and Digestive System, Guizhou Provincial People's Hospital, Guiyang, Guizhou, 550002, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Hepatocellular carcinoma (HCC), a prevalent and aggressive form of cancer, poses significant challenges due to its limited therapeutic options. This study aims to leverage multi-omics data from liver cancer to identify potential therapeutic targets for HCC. Methods: We employed an integrative approach by analyzing various omics datasets related to liver cancer. Through comprehensive data mining and analysis, we identified key genes that are significantly associated with HCC. To gain insights into their biological roles and underlying mechanisms, we constructed gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway networks. Specifically, we focused on genes that exhibited high expression levels in HCC and were correlated with poor patient prognosis. Among these, CDK1 and DLGAP5 emerged as promising candidates and were further investigated for their potential involvement in tumor immune cell infiltration and HCC progression. Results: Our analysis revealed that CDK1 and DLGAP5 are highly expressed in HCC tissues compared to normal liver tissues, and their elevated expression is associated with unfavorable clinical outcomes. Furthermore, through GO and KEGG pathway analyses, we found that these genes are implicated in critical biological processes and signaling pathways relevant to HCC pathogenesis. Notably, CDK1 and DLGAP5 were shown to be associated with tumor immune cell infiltration, suggesting their potential role in modulating the tumor microenvironment and promoting HCC progression. Discussion: These findings provide valuable insights into the development of novel therapeutic approaches for HCC.

Indexed as

bioinformatics analysisCDK1DLGAP5Hepatocellular carcinomaimmune cell infiltration

Identifiers

PMID39559249
PMCPMC11572444

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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.