ENAM gene associated with T classification and inhibits proliferation in renal clear cell carcinoma

Ren, Xiaohan; Liang, Shengjie; Li, Yang; Ji, Yisheng; Li, Lin; Qin, Chao; Fang, Kai

doi:10.18632/aging.202558

Cited by 9 publications

(7 citation statements)

References 39 publications

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“…6D). It has also recently been shown that ENAM can suppress cell proliferation in ccRCC and significantly increase cytotoxic cells, CD56 NK cells, NK cells, and CD8 + T cells in the immune TME 14 . In this work, a correlation was revealed between the hub genes of the ccRCC subtype with poor prognosis and the immune cell infiltration cells.…”

Section: Discussionmentioning

confidence: 94%

Identification of key genes of the ccRCC subtype with poor prognosis

Puzanov

2022

Sci Rep

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Clear cell renal carcinoma has been reported in many research studies as a rather heterogeneous disease. Identification of different subtypes and their molecular characteristics can help in choosing a more effective treatment and predicting a response to it. In this study, using multi-omics clustering of RNA-Seq data of patients with clear cell renal carcinoma from TCGA. Specific genes were identified for the most aggressive ccRCC subtype associated with metastasis and a subtype associated with a more favorable course of the disease. Among them were genes associated with blood clotting (FGA, FGG) and genes associated with changes in the immune characteristics of a tumor (ENAM, IGFBP1, IL6). In addition, an association of hub genes of poor survival ccRCC subtype with the levels of infiltration of endothelial cells, hematopoietic stem cells, T cells NK and mast cells was revealed. It was shown that MFI2, CP, FGA, and FGG expression can predict the response to sunitinib, while the APOB, ENAM, IGFBP1, and MFI2 expression predict the response to nivolumab. The results obtained provide insight into the genetic characteristics underlying the aggressive subtype of ccRCC and may help develop new approaches to the treatment of this disease.

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Section: Discussionmentioning

confidence: 94%

Identification of key genes of the ccRCC subtype with poor prognosis

Puzanov

2022

Sci Rep

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“…With the arrival of the era of biological big data, the rapidly developing bioinformatics has greatly helped relevant researchers ( Yu et al, 2021b ; Ren et al, 2021 ). This study identified the potential role of PCDH7 in NSCLC through high-quality data analysis and validated it through further biological experiments.…”

Section: Discussionmentioning

confidence: 99%

Integrative analysis illustrates the role of PCDH7 in lung cancer development, cisplatin resistance, and immunotherapy resistance: an underlying target

et al. 2023

Front. Pharmacol.

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Background: Cisplatin resistance is a common clinical problem in lung cancer. However, the underlying mechanisms have not yet been fully elucidated, highlighting the importance of searching for biological targets.Methods: Bioinformatics analysis is completed through downloaded public data (GSE21656, GSE108214, and TCGA) and specific R packages. The evaluation of cell proliferation ability is completed through CCK8 assay, colony formation, and EdU assay. The evaluation of cell invasion and migration ability is completed through transwell and wound-healing assays. In addition, we evaluated cell cisplatin sensitivity by calculating IC50.Results: Here, we found that PCDH7 may be involved in cisplatin resistance in lung cancer through public database analysis (GSE21656 and GSE108214). Then, a series of in vitro experiments was performed, which verified the cancer-promoting role of PCDH7 in NSCLC. Moreover, the results of IC50 detection showed that PCDH7 might be associated with cisplatin resistance of NSCLC. Next, we investigated the single-cell pattern, biological function, and immune analysis of PCDH7. Importantly, we noticed PCDH7 may regulate epithelial–mesenchymal transition activity, and the local infiltration of CD8+ T and activated NK cells. Furthermore, we noticed that patients with high PCDH7 expression might be more sensitive to bortezomib, docetaxel, and gemcitabine, and resistant to immunotherapy. Finally, a prognosis model based on three PCDH7-derived genes (GPX8, BCAR3, and TNS4) was constructed through a machine learning algorithm, which has good prediction ability on NSCLC patients’ survival.Conclusion: Our research has improved the regulatory framework for cisplatin resistance in NSCLC and can provide direction for subsequent related research, especially regarding PCDH7.

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“…ENAM and WDR72 gene polymorphisms are associated with enamel development ( 35 , 36 ), and their mutations may lead to enamel hypoplasia ( 37 – 39 ). However, recent studies have found that the ENAM gene is associated with T classification and inhibits the proliferation of renal clear cell carcinoma ( 40 ) and that WDR72 genomic variants are associated with distal tubular acidosis and rapid declines in renal function ( 41 , 42 ). CLDN10 is a member of the tight junction protein claudin family, and abnormal CLDN10 expression may lead to tight junction dysfunction and thus affect tumor progression.…”

Section: Discussionmentioning

confidence: 99%

Molecular Subtyping Based on Cuproptosis-Related Genes and Characterization of Tumor Microenvironment Infiltration in Kidney Renal Clear Cell Carcinoma

Ren

Wang

et al. 2022

Front. Oncol.

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The incidence of kidney renal clear cell carcinoma (KIRC) is rising worldwide, and the prognosis is poor. Cuproptosis is a new form of cell death that is dependent on and regulated by copper ions. The relationship between cuproptosis and KIRC remains unclear. In the current study, changes in cuproptosis-related genes (CRGs) in TCGA-KIRC transcriptional datasets were characterized, and the expression patterns of these genes were analyzed. We identified three main molecular subtypes and discovered that multilayer CRG changes were associated with patient clinicopathological traits, prognosis, elesclomol sensitivity, and tumor microenvironment (TME) cell infiltration characteristics. Then, a CRG score was created to predict overall survival (OS). The CRG score was found to be strongly linked to the TME. These findings may help elucidate the roles of CRGs in KIRC, potentially enhancing understanding of cuproptosis and supporting the development of more effective immunotherapy strategies.

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ENAM gene associated with T classification and inhibits proliferation in renal clear cell carcinoma

Cited by 9 publications

References 39 publications

Identification of key genes of the ccRCC subtype with poor prognosis

Identification of key genes of the ccRCC subtype with poor prognosis

Integrative analysis illustrates the role of PCDH7 in lung cancer development, cisplatin resistance, and immunotherapy resistance: an underlying target

Molecular Subtyping Based on Cuproptosis-Related Genes and Characterization of Tumor Microenvironment Infiltration in Kidney Renal Clear Cell Carcinoma

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