Infiltrating Immune Cells in Gastric Cancer: A Novel Predicting Model for Prognosis

Li, Wenjie; Li, Mengting; Wang, Haizhou; Peng, Yanan; Dong, Shouquan; Lu, Yuanyuan; Wang, Fan; Xu, Fei; Liu, Lan; Zhao, Qiu

doi:10.7150/jca.51079

Cited by 8 publications

(6 citation statements)

References 35 publications

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“…TIICs are highly heterogeneous and plastic, which can inhibit cancer or support tumor growth [35] . It has been reported that the distribution and morphology of TIICs are varied in different stages of GC, thereby affecting the progression and prognosis of GC patients [36,37] . Many studies have shown that tumor-related genes can be used as molecular markers to re ect the level of immune cell in ltration in tumors.…”

Section: Discussionmentioning

confidence: 99%

Pan-cancer analysis of TMEM45A indicates its potential prognostic value and functional validation in gastric cancer

Xie,

Guo,

Deng

et al. 2024

Preprint

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Background Gastric cancer (GC) is a frequent malignant tumor of the digestive system with the highest incidence and mortality rate among all tumors. This research aimed to investigate the relationships among TMEM45A expression, prognostic values and tumor-infiltrating immune cells (TIICs) in GC patients. Methods First, GEO and TCGA database were employed to analyze the expression of TMEM45A in GC patients. Then, we determined the association between TMEM45A expression and survival of GC patients using the Kaplan-Meier Plotter database and TCGA database and verified the accuracy of TMEM45A in predicting prognosis. Next, we analyzed the effect of CTHRC expression on TIICs in GC tissues. A prognostic model was constructed using immunomodulatory genes associated with TMEM45A. The specificity and accuracy of the model were verified. Results TMEM45A expression was markedly higher in GC tissue than in normal tissue. GC patients with TMEM45A overexpression had a poor prognosis. The AUC value of 5-year survival on the ROC curve was 0.705, indicating that TMEM45A is a reliable prognostic factor and can be used as a clinicopathological indicator alone to predict patient prognosis. Three high-risk immunomodulatory genes (CXCR4 and TGFB1) and one low-risk immunomodulatory gene (PDCD1) were obtained using both univariate and multivariate COX methods. These three immunomodulatory molecules were used to construct prognostic models. Conclusion GC patients with TMEM45A overexpression have a poor prognosis and are associated with immune cell infiltration. Hence, TMEM45A is a fairly reliable independent prognostic marker.

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Section: Discussionmentioning

confidence: 99%

Pan-cancer analysis of TMEM45A indicates its potential prognostic value and functional validation in gastric cancer

Xie,

Guo,

Deng

et al. 2024

Preprint

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“…The tumor immune microenvironment is of great value in prognostic research on GC [ 40 ]. In order to further explore the relationship between the 8-IRlncRNA signature and immune-related features, we performed immune infiltrating cell analysis on the high-risk and low-risk groups.…”

Section: Discussionmentioning

confidence: 99%

An Immunity-Associated lncRNA Signature for Predicting Prognosis in Gastric Adenocarcinoma

Zhao

Liu

et al. 2022

Journal of Healthcare Engineering

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Background. Gastric adenocarcinoma (GAD) is one of the most common tumors in the world and the prognosis is still very poor. Objective. We sought to identify reliable prognostic biomarkers for the progression of GAD and the sensitivity to drug therapy. Method. The RNA sequencing data of GAD was downloaded from the Cancer Genome Atlas (TCGA) database and used for analysis. Differentially expressed, immune-related lncRNA (DEIRlncRNA) was characterized by differential analysis and correlation analysis. Univariate Cox regression analysis was used to identify DEIRlncRNA associated with prognosis. Least absolute shrinkage and selection operator (LASSO) regression analysis allowed us to determine a signature composed of eight IRlncRNAs. Based on this signature, we further performed gene set enrichment analysis (GSEA) and somatic mutation analysis to evaluate the ability of this signature to predict prognosis. Results. In total, 72 immune-related lncRNAs (DEIRlncRNAs) with prognostic value were identified. These lncRNAs were used to construct a model containing eight immune-related lncRNAs (8-IRlncRNAs). Based on this risk model, we divided GAD patients into high-risk and low-risk groups. The analysis showed that the prognosis of the two groups was different and that the high-risk group had worse overall survival (OS). Immune cell infiltration analysis showed that the proportion of memory B cells increased in the high-risk group while the proportion of macrophages M1, T cells, CD4 memory-activated cells, and T cell follicular helpers decreased. GSEA results showed that 8-IRlncRNA was significantly enriched in tumorigenesis pathways such as myc. The results of somatic mutation analysis showed that the CDH1 gene was significantly mutated in the high-risk group. Conclusion. A prognostic signature of 8-IRlncRNAs in GAD was established and this signature was able to predict the prognosis of GAD patients.

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“…Tumor-infiltrating immune cells is crucial in tumor progression and treatment. The types and densities of TIICs not only have connection with prognosis of patients, but also influence responses to treatment ( Zhu et al, 2020 ; Li et al, 2021 ; Xu et al, 2021 ; Yang B. et al, 2021 ; Yang Y. et al, 2021 ). Hence, understanding the role of TIICs may provide fresh insights into searching for novel clinical biomarkers for malignancies and facilitating cancer patient treatment by means of immunotherapy.…”

Section: Discussionmentioning

confidence: 99%

Predicting the Survival and Immune Landscape of Colorectal Cancer Patients Using an Immune-Related lncRNA Pair Model

Zhang

Zhao

et al. 2021

Front. Genet.

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BackgroundAccumulating evidence has demonstrated that immune-related long non-coding ribonucleic acids (irlncRNAs) can be used as prognostic indicators of overall survival (OS) in patients with colorectal cancer (CRC). Our aim in this research, therefore, was to construct a risk model using irlncRNA pairs with no requirement for a specific expression level, in hope of reliably predicting the prognosis and immune landscape of CRC patients.MethodsClinical and transcriptome profiling data of CRC patients downloaded from the Cancer Genome Atlas (TCGA) database were analyzed to identify differentially expressed (DE) irlncRNAs. The irlncRNA pairs significantly correlated with the prognosis of patients were screened out by univariable Cox regression analysis and a prognostic model was constructed by Lasso and multivariate Cox regression analyses. A receiver operating characteristic (ROC) curve was then plotted, with the area under the curve calculated to confirm the reliability of the model. Based on the optimal cutoff value, CRC patients in the high- or low-risk groups were distinguished, laying the ground for evaluating the risk model from the following perspectives: survival, clinicopathological traits, tumor-infiltrating immune cells (TIICs), antitumor drug efficacy, kinase inhibitor efficacy, and molecules related to immune checkpoints.ResultsA prognostic model consisting of 15 irlncRNA pairs was constructed, which was found to have a high correlation with patient prognosis in a cohort from the TCGA (p < 0.001, HR = 1.089, 95% CI [1.067–1.112]). According to both univariate and multivariate Cox analyses, this model could be used as an independent prognostic indicator in the TCGA cohort (p < 0.001). Effective differentiation between high- and low-risk patients was also accomplished, on the basis of aggressive clinicopathological characteristics, sensitivity to antitumor drugs, and kinase inhibitors, the tumor immune infiltration status, and the expression levels of specific molecules related to immune checkpoints.ConclusionThe prognostic model established with irlncRNA pairs is a promising indicator for prognosis prediction in CRC patients.

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Infiltrating Immune Cells in Gastric Cancer: A Novel Predicting Model for Prognosis

Cited by 8 publications

References 35 publications

Pan-cancer analysis of TMEM45A indicates its potential prognostic value and functional validation in gastric cancer

Pan-cancer analysis of TMEM45A indicates its potential prognostic value and functional validation in gastric cancer

An Immunity-Associated lncRNA Signature for Predicting Prognosis in Gastric Adenocarcinoma

Predicting the Survival and Immune Landscape of Colorectal Cancer Patients Using an Immune-Related lncRNA Pair Model

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