The role of tetraspanins pan-cancer

Huang, Runzhi; Sun, Hao; Lin, Ruoyi; Zhang, Jie; Yin, Huabin; Li, Man; Wang, Siqiao; Li, Zhenyu; Qiao, Yannan; Jiang, Meiyun; Yan, Penghui; Meng, Tong; Huang, Zongqiang

doi:10.1016/j.isci.2022.104777

Cited by 23 publications

(21 citation statements)

References 56 publications

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“…As a novel exosome-like organelle during cell migrations, lateral transfer of mRNA, protein, and even damaged mitochondria can modify the recipient cells (da Rocha-Azevedo and Schmid, 2015; Zhu et al, 2021;Baumann, 2021). The infiltration abundance of migrating cells, such as monocytes and macrophages, may explain the expression levels of TSPAN4 and its impact on prognosis are largely different among tumor types, which was consisted with the previous report by Huang et al, 2022. Huang et al (2022 reported samples of different tumor types exhibited variable results in immune subtype analysis.…”

Section: Discussionsupporting

confidence: 65%

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TSPAN4 is a prognostic and immune target in Glioblastoma multiforme

Zheng

Lang²,

Qi³

et al. 2023

Front. Mol. Biosci.

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Background: Atherosclerosis can impact cancer progression due to the cholesterol and calcium metabolism, illustrating the links between atherosclerosis and cancer metastasis. Tetraspanin 4 (TSPAN4) may help understand migrasomes in diseases and provide novel targets for treatment.Methods: TSPAN4 expression in atherosclerosis Gene Expression Omnibus (EO) dataset and multiple omics data were explored, such as enriched pathways analysis, protein-protein interaction analysis, immune subtypes as well as diagnostic and prognostic value in pan-cancer. The relationship between Glioblastoma multiforme (GBM) and TSPAN4 was further investigated.Results: Compared to control, TSPAN4 expression was upregulated in foam cells from patients with atherosclerosis and survival analysis demonstrated high TSPAN4 expression contributes to poor prognosis. TSPAN4 expression differs significantly in immune subtypes of cancers, which can be a diagnostic and prognostic target of cancers due to the high accuracy. Overall survival analysis of subgroups demonstrated that higher TSPAN4 expression had a worse prognosis and the univariate analysis and multivariate analysis demonstrated age, TSPAN4 expression, WHO grade, IDH status and histological types were independent risk factors of Glioblastoma multiforme.Conclusion: The TSPAN4 expression was associated with atherosclerosis progression and pan-cancer, especially in Glioblastoma multiforme and GBMLGG. Therefore, TSPAN4 may serve as a potential biomarker and the crosstalk between atherosclerosis and tumor progression. The results are not fully validated and further studies are still needed to validate in vivo and in vitro.

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Section: Discussionsupporting

confidence: 65%

“…Huang et al (2022 reported samples of different tumor types exhibited variable results in immune subtype analysis. Six immune subtypes were correlated tumors, and the expression of TSPAN4 was different among them (Huang et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

TSPAN4 is a prognostic and immune target in Glioblastoma multiforme

Zheng

Lang²,

Qi³

et al. 2023

Front. Mol. Biosci.

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“…TSPAN15, the common target for both aptamers selected for OvCar-3 cells, is a transmembrane protein that is related to esophageal carcinoma, oral carcinoma, liver hepatocellular carcinoma (LIHC), and hepatocellular carcinoma (HCC). Interestingly, for all tumor types, TSPAN15 is described as especially associated with metastasis, indicating that cells overexpressing this protein have increased proliferative, migratory, and invasive capabilities [ 40 , 41 , 42 , 43 ]. This information gives robustness to the selection method used here to identify the potential targets for the aptamers.…”

Section: Discussionmentioning

confidence: 99%

Next Generation of Ovarian Cancer Detection Using Aptamers

Abreu

Antunes

Moreira

et al. 2023

IJMS

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Ovarian cancer is among the seven most common types of cancer in women, being the most fatal gynecological tumor, due to the difficulty of detection in early stages. Aptamers are important tools to improve tumor diagnosis through the recognition of specific molecules produced by tumors. Here, aptamers and their potential targets in ovarian cancer cells were analyzed by in silico approaches. Specific aptamers were selected by the Cell-SELEX method using Caov-3 and OvCar-3 cells. The five most frequent aptamers obtained from the last round of selection were computationally modeled. The potential targets for those aptamers in cells were proposed by analyzing proteomic data available for the Caov-3 and OvCar-3 cell lines. Overexpressed proteins for each cell were characterized as to their three-dimensional model, cell location, and electrostatic potential. As a result, four specific aptamers for ovarian tumors were selected: AptaC2, AptaC4, AptaO1, and AptaO2. Potential targets were identified for each aptamer through Molecular Docking, and the best complexes were AptaC2-FXYD3, AptaC4-ALPP, AptaO1-TSPAN15, and AptaO2-TSPAN15. In addition, AptaC2 and AptaO1 could detect different stages and subtypes of ovarian cancer tissue samples. The application of this technology makes it possible to propose new molecular biomarkers for the differential diagnosis of epithelial ovarian cancer.

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“…Furthermore, TPPP3 mediates the dynamics and stability of microtubules and is associated with multiple immune-related pathways in various types of cancer [ 75 ]. In addition, TSPAN32 is a member of the tetraspanins, which contribute to tumor growth through angiogenesis, immunological function, platelet coagulation, and infection [ 76 , 77 ]. On the other hand, LINC00189 and PALM are rarely reported in human diseases.…”

Section: Discussionmentioning

confidence: 99%

Deregulated Gene Expression Profiles and Regulatory Networks in Adult and Pediatric RUNX1/RUNX1T1-Positive AML Patients

Kanellou

Georgakopoulos-Soares

Zaravinos

2023

Cancers

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Acute myeloid leukemia (AML) is a heterogeneous and complex disease concerning molecular aberrations and prognosis. RUNX1/RUNX1T1 is a fusion oncogene that results from the chromosomal translocation t(8;21) and plays a crucial role in AML. However, its impact on the transcriptomic profile of different age groups of AML patients is not completely understood. Here, we investigated the deregulated gene expression (DEG) profiles in adult and pediatric RUNX1/RUNX1T1-positive AML patients, and compared their functions and regulatory networks. We retrospectively analyzed gene expression data from two independent Gene Expression Omnibus (GEO) datasets (GSE37642 and GSE75461) and computed their differentially expressed genes and upstream regulators, using limma, GEO2Enrichr, and X2K. For validation purposes, we used the TCGA-LAML (adult) and TARGET-AML (pediatric) patient cohorts. We also analyzed the protein–protein interaction (PPI) networks, as well as those composed of transcription factors (TF), intermediate proteins, and kinases foreseen to regulate the top deregulated genes in each group. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment analyses were further performed for the DEGs in each dataset. We found that the top upregulated genes in (both adult and pediatric) RUNX1/RUNX1T1-positive AML patients are enriched in extracellular matrix organization, the cell projection membrane, filopodium membrane, and supramolecular fiber. Our data corroborate that RUNX1/RUNX1T1 reprograms a large transcriptional network to establish and maintain leukemia via intricate PPI interactions and kinase-driven phosphorylation events.

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The role of tetraspanins pan-cancer

Cited by 23 publications

References 56 publications

TSPAN4 is a prognostic and immune target in Glioblastoma multiforme

TSPAN4 is a prognostic and immune target in Glioblastoma multiforme

Next Generation of Ovarian Cancer Detection Using Aptamers

Deregulated Gene Expression Profiles and Regulatory Networks in Adult and Pediatric RUNX1/RUNX1T1-Positive AML Patients

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