Construction of a novel anoikis-related prognostic model and analysis of its correlation with infiltration of immune cells in neuroblastoma

Chen, Ji; Sun, Mengjiao; Chen, Chuqin; Kang, Meiyun; Qian, Bo; Sun, Jing Ping; Ma, Xiaopeng; Zhou, Jianfeng; Huang, Lei; Jiang, Bin; Fang, Yongjun

doi:10.3389/fimmu.2023.1135617

Cited by 2 publications

References 83 publications

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Anoikis in cell fate, physiopathology, and therapeutic interventions

Mei,

Jiang,

Tian

et al. 2024

MedComm

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The extracellular matrix (ECM) governs a wide spectrum of cellular fate processes, with a particular emphasis on anoikis, an integrin‐dependent form of cell death. Currently, anoikis is defined as an intrinsic apoptosis. In contrast to traditional apoptosis and necroptosis, integrin correlates ECM signaling with intracellular signaling cascades, describing the full process of anoikis. However, anoikis is frequently overlooked in physiological and pathological processes as well as traditional in vitro research models. In this review, we summarized the role of anoikis in physiological and pathological processes, spanning embryonic development, organ development, tissue repair, inflammatory responses, cardiovascular diseases, tumor metastasis, and so on. Similarly, in the realm of stem cell research focused on the functional evolution of cells, anoikis offers a potential solution to various challenges, including in vitro cell culture models, stem cell therapy, cell transplantation, and engineering applications, which are largely based on the regulation of cell fate by anoikis. More importantly, the regulatory mechanisms of anoikis based on molecular processes and ECM signaling will provide new strategies for therapeutic interventions (drug therapy and cell‐based therapy) in disease. In summary, this review provides a systematic elaboration of anoikis, thus shedding light on its future research.

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Anoikis in cell fate, physiopathology, and therapeutic interventions

Mei,

Jiang,

Tian

et al. 2024

MedComm

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Establishment and validation of the prognostic risk model based on the anoikis related genes in esophageal squamous cell carcinoma

Cao,

Li,

Cui

et al. 2024

Preprint

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Background Esophageal squamous cell carcinoma (ESCC) is a malignant condition in humans. Anoikis related genes (ARGs) are crucial to cancer progression. Therefore, more studies on the relationship between ARGs and ESCC are warranted. Methods The study acquired ESCC-related transcriptome data from the cancer genome atlas (TCGA). Differentially expressed ARGs (DE-ARGs) were obtained by performing differential analysis on the training set, and candidates were filtered out by survival analysis of high and low expression groups of DE-ARGs. Prognostic genes were determined by univariate and multivariate Cox and lasso regression based on candidate genes and were analyzed by gene set enrichment analysis (GSEA). A risk model was constructed on the basis of prognostic gene expressions. To find out how these genes contribute to ESCC development, immune infiltration study was done. Based on prognostic genes, the miRNA-mRNA-TF regulation network was constructed. IC50 test was adopted to assess the clinical response of chemotherapy drug. Single-cell analysis was performed on the GSE145370 dataset. Moreover, with the use of quantitative reverse transcription (qRT)-PCR, we verified prognostic gene expressions. Results 53 DE-ARGs (46 upregulated; 7 downregulated) were screened by differential analysis. Survival analysis yielded four candidate genes consisting of PBK, LAMC2, TNFSF10 and KL. The two prognostic genes, TNFSF10 and PBK, were determined by univariate and multivariate Cox and lasso regression. In terms of hallmark, TNFSF10 was involved in 32 pathways, and PBK was partake in 34 pathways. In immunomic signatures, 4558 enrichment entries were associated with TNFSF10, like genes downregulated CD8 T cells, PBK enriched to 4262 pathways, such as genes downregulated in B cells. Immuno-infiltration analysis revealed positive associations of PBK with Macrophages M0 cells, and TNFSF10 with Macrophages M1 cells. miRNA-mRNA-TF network was generated with prognostic genes, which contained hsa-miR-562-TNFSF10-FOXO3, hsa-miR-216b-5p-PBK-ATM regulatory relationship pairs, etc. The result of chemotherapy drug susceptibility analysis showed that IC50 values of predicted drugs, in the case of Tozasertib 1096 and WIKI4 1940, were significantly variant between risk groups. Single-cell analysis revealed that TNFSF10 and PBK levels were higher in epithelial cells than in other cells. The prognostic genes expression results by qRT-PCR were compatible with the dataset analysis. Conclusion The study explored the biomarkers related to anoikis based on bioinformatics technology and established a prognosis model of ESCC. It provided a reference for the research of ARGs in ESCC.

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Construction of a novel anoikis-related prognostic model and analysis of its correlation with infiltration of immune cells in neuroblastoma

Cited by 2 publications

References 83 publications

Anoikis in cell fate, physiopathology, and therapeutic interventions

Anoikis in cell fate, physiopathology, and therapeutic interventions

Establishment and validation of the prognostic risk model based on the anoikis related genes in esophageal squamous cell carcinoma

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