Recent advances in understanding the role of HES6 in cancers

Krossa, Imène; Strub, Thomas; Martel, Arnaud; Nahon-Estève, Sacha; Lassalle, Sandra; Hofman, Paul; Baillif, Stéphanie; Ballotti, Robert; Bertolotto, Corine

doi:10.7150/thno.72966

Cited by 17 publications

(9 citation statements)

References 104 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This analysis identified nine genes with known involvement in cancer pathogenesis ( Figure 6 ). Among them, the HES6 gene is a component of activated NOTCH signaling [ 20 , 21 ], whereas KIF23 and NCAPH support cell cycle progression via facilitating cytokinesis during mitosis and separation of chromosomes, respectively [ 22 , 23 , 24 , 25 ], and KIF23 also promotes WNT signaling [ 26 ].…”

Section: Resultsmentioning

confidence: 99%

“…Our study showed a strong positive correlation between ERFE and HES6 expression in thyroid cancer, uveal melanoma, and testicular germ cell tumors. GSEA results indicated that the ERFE high status was associated with activated NOTCH-related signaling in thyroid cancer and testicular germ cell tumors, and HES6 overexpression was shown to contribute to overactivated NOTCH signaling [ 20 ]. In addition, one study based on single cell sequencing reported that HES6 has critical tumorigenic properties downstream the NOTCH signaling pathway and favors motile phenotype of primary uveal melanoma cells [ 21 ].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

In Silico Pan-Cancer Analysis Reveals Prognostic Role of the Erythroferrone (ERFE) Gene in Human Malignancies

Altrock

Schmitt

et al. 2023

IJMS

View full text Add to dashboard Cite

The erythroferrone gene (ERFE), also termed CTRP15, belongs to the C1q tumor necrosis factor-related protein (CTRP) family. Despite multiple reports about the involvement of CTRPs in cancer, the role of ERFE in cancer progression is largely unknown. We previously found that ERFE was upregulated in erythroid progenitors in myelodysplastic syndromes and strongly predicted overall survival. To understand the potential molecular interactions and identify cues for further functional investigation and the prognostic impact of ERFE in other malignancies, we performed a pan-cancer in silico analysis utilizing the Cancer Genome Atlas datasets. Our analysis shows that the ERFE mRNA is significantly overexpressed in 22 tumors and affects the prognosis in 11 cancer types. In certain tumors such as breast cancer and adrenocortical carcinoma, ERFE overexpression has been associated with the presence of oncogenic mutations and a higher tumor mutational burden. The expression of ERFE is co-regulated with the factors and pathways involved in cancer progression and metastasis, including activated pathways of the cell cycle, extracellular matrix/tumor microenvironment, G protein-coupled receptor, NOTCH, WNT, and PI3 kinase-AKT. Moreover, ERFE expression influences intratumoral immune cell infiltration. Conclusively, ERFE is aberrantly expressed in pan-cancer and can potentially function as a prognostic biomarker based on its putative functions during tumorigenesis and tumor development.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

In Silico Pan-Cancer Analysis Reveals Prognostic Role of the Erythroferrone (ERFE) Gene in Human Malignancies

Altrock

Schmitt

et al. 2023

IJMS

View full text Add to dashboard Cite

show abstract

“…Neural malignant cells were found with remarkably higher HES6 expression when compared with ORNs. In normal olfactory epithelium, HES6 promoted neuronal differentiation and was an important component of the NOTCH pathway 63 . Although Neural malignant cells perpetuated many features of neural lineages in OM with increase expression of HES6, they still exhibited negative expression of OMP, a marker of mature olfactory neurons, suggesting close relationship between Neural subtype cells and olfactory neurons, while malignant cells might be hindered from becoming mature during tumorigenesis.…”

Section: Disscussionmentioning

confidence: 99%

“…Although Neural malignant cells perpetuated many features of neural lineages in OM with increase expression of HES6, they still exhibited negative expression of OMP, a marker of mature olfactory neurons, suggesting close relationship between Neural subtype cells and olfactory neurons, while malignant cells might be hindered from becoming mature during tumorigenesis. Increased expression of HES6 has been detected in various tumors including advanced astrocytoma, glioblastoma and prostate cancer, compounding prognostic outcomes via regulating the growth and motile ability of tumor cells 63 . HES6-related activation of NOTCH signaling pathway might represent a latent research avenue toward uncovering therapeutic targets in ONB.…”

Section: Disscussionmentioning

confidence: 99%

Single-cell transcriptomic landscape deciphers novel olfactory neuroblastoma subtypes and intratumoral heterogeneity

Yang

Song

Zhang

et al. 2023

Preprint

View full text Add to dashboard Cite

Object: To explore the intra- and inter-tumoral heterogeneity of olfactory neuroblastoma (ONB). To discover ONB subtypes with distinctive expression features and different putative cellular origins and potential treatment strategies. To depict the tumor microenvironment (TME) landscape and cellular crosstalk with tumor cells. Methods: Single-cell RNA sequencing of 10 treatment-naive ONBs was conducted to explore the cell types and distinguish malignant cells, so as to form an innovative classification of tumors with diverse molecular markers and cellular origins, validated using bulk mRNA profiles both internally and externally. TME components of ONB was depicted by sub-clustering of major immune and stromal clusters, pathway enrichment analysis and cellular interaction analysis. Results: Cell clusters were classified into 6 immune lineages, 3 non-immune stromal lineages including and one epithelial cluster. Malignant cells determined by infer CNV reflected diverse cellular functions including olfactory neurodevelopment, cell cycling and mesenchyme features. A ternary diagram confirming a tripartite structure of cellular phenotypes across ONB malignant cells was established. Similarities between the three subtypes and diverse olfactory lineages were evaluated respectively. We explored molecules underlying malignant transition from normal OM to ONB. Subclusters of TME components of ONB and their cell-cell interactions with tumor cells were depicted. Conclusion: An innovative three-classification of ONB was established via scRNA analysis. Markers for categorizing tumor samples into new subtypes were elucidated. Different responses towards certain chemotherapy regimens could be inferred according to the molecular features of three tumor types. Relative abundance of immunosuppressive TAMs indicated the benefits of immunotherapies targeting myeloid cells.

show abstract

“…However, the function and mechanism of HES6 in the occurrence and progression of CAD have not been clarified. The expression of RORA can be widely observed in the heart, lung, liver and other tissues [ 10 ]. RORA has the main function of encoding NR1 (thyroid hormone) and regulating circadian rhythms.…”

mentioning

confidence: 99%

ERCC5, HES6 and RORA are potential diagnostic markers of coronary artery disease

2022

View full text Add to dashboard Cite

The mortality rate of patients with coronary artery disease (CAD) increases year by year, and the age of onset is decreasing, primarily because of the lack of an efficient and convenient diagnostic method for CAD. In the present study, we aimed to detect CAD‐correlated biomarkers and the regulatory pathways involved through weighted co‐expression network analysis. The microarray data originated from 93 CAD patients and 48 controls within the Gene Expression Omnibus (GEO) database. The gene network was implemented by weighted gene co‐expression network analysis, and the genes were observed to fall into a range of modules. We took the intersection of genes in the modules most correlated with CAD with the differentially expressed genes of CAD, which were identified by applying the limma package. Lasso regression and support vector machine recursive feature elimination algorithms were used to determine CAD candidate signature genes. The biomarkers for diagnosing CAD were detected by validating candidate signature gene diagnostic capabilities (receiver operating characteristic curves) based on data sets from GEO. Three modules were selected, and 26 vital genes were identified. Eight of these genes were reported as the optimal candidate features in terms of CAD diagnosis. Through receiver operating characteristic curve analysis, we identified three genes ( ERCC5 , HES6 and RORA ; area under the curve > 0.8) capable of distinguishing CAD from the control, and observed that these genes are correlated with the immune response. In summary, ERCC5 , HES6 and RORA may have potential for diagnosis of CAD.

show abstract

Recent advances in understanding the role of HES6 in cancers

Cited by 17 publications

References 104 publications

In Silico Pan-Cancer Analysis Reveals Prognostic Role of the Erythroferrone (ERFE) Gene in Human Malignancies

In Silico Pan-Cancer Analysis Reveals Prognostic Role of the Erythroferrone (ERFE) Gene in Human Malignancies

Single-cell transcriptomic landscape deciphers novel olfactory neuroblastoma subtypes and intratumoral heterogeneity

ERCC5, HES6 and RORA are potential diagnostic markers of coronary artery disease

Contact Info

Product

Resources

About