Dataset Information

Interaction, immune infiltration characteristics and prognostic modeling of efferocytosis-related subtypes in glioblastoma.

ABSTRACT:

Background

Efferocytosis is a biological process in which phagocytes remove apoptotic cells and vesicles from tissues. This process is initiated by the release of inflammatory mediators from apoptotic cells and plays a crucial role in resolving inflammation. The signals associated with efferocytosis have been found to regulate the inflammatory response and the tumor microenvironment (TME), which promotes the immune escape of tumor cells. However, the role of efferocytosis in glioblastoma multiforme (GBM) is not well understood and requires further investigation.

Methods

In this study, we conducted a comprehensive analysis of 22 efferocytosis-related genes (ERGs) by searching for studies related to efferocytosis. Using bulk RNA-Seq and single-cell sequencing data, we analyzed the expression and mutational characteristics of these ERGs. By using an unsupervised clustering algorithm, we obtained ERG clusters from 549 GBM patients and evaluated the immune infiltration characteristics of each cluster. We then identified differential genes (DEGs) in the two ERG clusters and classified GBM patients into different gene clusters using univariate cox analysis and unsupervised clustering algorithms. Finally, we utilized the Boruta algorithm to screen for prognostic genes and reduce dimensionality, and the PCA algorithm was applied to create a novel efferocytosis-related scoring system.

Results

Differential expression of ERGs in glioma cell lines and normal cells was analyzed by rt-PCR. Cell function experiments, on the other hand, validated TIMD4 as a tumor risk factor in GBM. We found that different ERG clusters and gene clusters have distinct prognostic and immune infiltration profiles. The ERG signature we developed provides insight into the tumor microenvironment of GBM. Patients with lower ERG scores have a better survival rate and a higher likelihood of benefiting from immunotherapy.

Conclusions

Our novel efferocytosis-related signature has the potential to be used in clinical practice for risk stratification of GBM patients and for selecting individuals who are likely to respond to immunotherapy. This can help clinicians design appropriate targeted therapies before initiating clinical treatment.

SUBMITTER: Zhao S

PROVIDER: S-EPMC10583324 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature

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Publications

Interaction, immune infiltration characteristics and prognostic modeling of efferocytosis-related subtypes in glioblastoma.

Zhao Songyun S Wang Qi Q Liu Yuankun Y Zhang Pengpeng P Ji Wei W Xie Jiaheng J Cheng Chao C

BMC medical genomics 20231018 1

<h4>Background</h4>Efferocytosis is a biological process in which phagocytes remove apoptotic cells and vesicles from tissues. This process is initiated by the release of inflammatory mediators from apoptotic cells and plays a crucial role in resolving inflammation. The signals associated with efferocytosis have been found to regulate the inflammatory response and the tumor microenvironment (TME), which promotes the immune escape of tumor cells. However, the role of efferocytosis in glioblastoma ...[more]

PMID: 37853449

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Dataset Information

Interaction, immune infiltration characteristics and prognostic modeling of efferocytosis-related subtypes in glioblastoma.

Background

Methods

Results

Conclusions

Publications

Interaction, immune infiltration characteristics and prognostic modeling of efferocytosis-related subtypes in glioblastoma.

Similar Datasets

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