Cell death-related biomarker SLC2A1 has a significant role in prognosis prediction and immunotherapy efficacy evaluation in pan-cancer

Wang, Yuhang; Wang, Kai; Zhang, Han; Jia, Xiaoteng; Li, Xin; Sun, Shuai; Sun, Di

doi:10.3389/fgene.2022.1068462

Cited by 4 publications

(6 citation statements)

References 67 publications

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“…Using the established expression markers, such as for endothelial cells ( KLF2 )(Sangwung, Zhou et al . 2017), M2 macrophages ( SLC2A1 )(Wang, Wang et al . 2023), TNBC cancer cells ( TRPS1 )(Ai, Yao et al .…”

Section: Resultsmentioning

confidence: 99%

“…Cells were clustered based on specific cell markers. Using the established expression markers, such as for endothelial cells ( KLF2 )( 31 ), M2 macrophages ( SLC2A1 )( 32 ), TNBC cancer cells ( TRPS1 )( 33 ), proliferating cells ( TOP2A) ( 34 ), myeloid cells ( FTH1) ( 35 ), progenitor cells ( NES )( 36 ), adipocytes ( CLEC11A )( 37 ), mesenchymal cells ( S100A4 )( 38 ), angiogenic cells ( RPL35A )( 39 ), breast cancer stem cells (FXYD3 )( 40 ), dendritic cells ( CD68 ) ( 41 ), cancer-associated fibroblast ( COL1A2 )( 42 ), epithelial cells ( EPCAM )( 43 ), cycling cells ( CDK4 )( 44 ), and B-cells ( CD83 ) ( 45 ), we found that CRD altered different cell populations in the TME (Fig. 3B).…”

Section: Resultsmentioning

confidence: 99%

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Disruption of Circadian Clock Induces Abnormal Mammary Morphology and Aggressive Basal Tumorigenesis by Enhancing LILRB4 Signaling

Ogunlusi,

Sarkar,

Chakrabarti

et al. 2024

Preprint

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Epidemiological studies have shown that circadian rhythm disruption (CRD) caused by shift work or frequent jet lag is associated with the risk of breast cancer development. However, the role of CRD in mammary gland morphology and aggressive mammary tumorigenesis and the molecular mechanisms underlying CRD and cancer risk remain unknown. We found that chronic CRD disrupted mouse mammary gland morphology and increased tumor burden and lung metastasis in a genetically engineered mouse model of aggressive breast cancer and induced an immunosuppressive tumor microenvironment by enhancing leukocyte immunoglobulin-like receptor 4a (LILRB4a or LILRB4) expression. Moreover, CRD increased the M2 macrophage (anti-inflammatory) and regulatory T-cell populations but decreased the M1 macrophage (proinflammatory) populations. These findings identify and implicate LILRB4a as a link between CRD and aggressive mammary tumorigenesis.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Disruption of Circadian Clock Induces Abnormal Mammary Morphology and Aggressive Basal Tumorigenesis by Enhancing LILRB4 Signaling

Ogunlusi,

Sarkar,

Chakrabarti

et al. 2024

Preprint

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“…Previous studies have investigated its role as a prognostic and immunotherapeutic marker in lung adenocarcinoma [25], where it was found to be aberrantly expressed in numerous cancers. Furthermore, SLC2A1 has shown prognostic significance and plays a role as an immune marker in various other cancers [26][27][28]. In the study of non-tumor diseases, evidence suggests that high expression of SLC2A1 is associated with type 2 diabetes and its complications [29], as well as chronic inflammation [30].…”

Section: Discussionmentioning

confidence: 99%

Identification and validation of ferroptosis-related gene SLC2A1 as a novel prognostic biomarker in AKI

Wang,

Li,

Liu

et al. 2024

Aging

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Background: Emerging evidence reveals the key role of ferroptosis in the pathophysiological process of acute kidney injury (AKI). Our study aimed to investigate the potential ferroptosis-related gene in AKI through bioinformatics and experimental validation. Methods: The AKI single-cell sequencing dataset was retrieved from the GEO database and ferroptosis-related genes were extracted from the GENECARD website. The potential differentially expressed ferroptosis-related genes of AKI were selected. Functional enrichment analysis was performed. Machine learning algorithms were used to identify key ferroptosis-related genes associated with AKI. A multi-factor Cox regression analysis was used to construct a risk score model. The accuracy of the risk score model was validated using receiver operating characteristic (ROC) curve analysis. We extensively explored the immune landscape of AKI using CIBERSORT tool. Finally, expressions of ferroptosis DEGs were validated in vivo and in vitro by Western blot, ICH and transfection experiments. Results: Three hub genes (BAP1, MDM4, SLC2A1) were identified and validated by constructing drug regulatory network and subsequent screening using experimentally determined interactions. The risk mode showed the low-risk group had significantly better prognosis compared to high-risk group. The risk score was independently associated with overall survival. The ROC curve analysis showed that the prognosis model had good predictive ability. Additionally, CIBERSORT immune infiltration analysis suggest that the hub gene may influence cell recruitment and infiltration in AKI. Validation experiments revealed that SLC2A1 functions by regulating ferroptosis. Conclusions: In summary, our study not only identifies SLC2A1 as diagnostic biomarker for AKI, but also sheds light on the role of it in AKI progression, providing novel insights for the clinical diagnosis and treatment of AKI.

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“…Furthermore, GO analysis also showed that Endo cluster3 was mainly enriched in the pathways of cell proliferation, migration, positive regulation of cell activation, and epithelial-to-mesenchymal transition (Fig 5D). SLC2A1, a member of the SLC transporter protein family, is primarily involved in encoding glucose transporter proteins at the cell membrane and cell surface [27]. Importantly, SLC2A1 has been reported to promote cancer development by regulating cell proliferation [28].…”

Section: Heterogeneity Of Epithelial Cell Subpopulations In Ec In Res...mentioning

confidence: 99%

“…SLC2A1 is a member of the SLC transporter protein family and is able to participate in a variety of cell death modalities. Wang and his colleagues comprehensively summarized the prognostic role of SLC2A1 in pan-cancer and found that SLC2A1 is able to be overexpressed in a wide range of tumors and is associated with a poor prognosis in patients [27]. Moreover, SLC2A1 has been shown to be a key gene in tumor glucose metabolism, which promotes glycolysis in cancer cells and thus affects the growth and metastasis of cancer cells [45,46].…”

Section: Plos Onementioning

confidence: 99%

Single-cell analysis reveals landscape of endometrial cancer response to estrogen and identification of early diagnostic markers

Dong,

Zhao,

Liu

et al. 2024

PLoS ONE

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Background The development of endometrial cancer (EC) is closely related to the abnormal activation of the estrogen signaling pathway. Effective diagnostic markers are important for the early detection and treatment of EC. Method We downloaded single-cell RNA sequencing (scRNA-seq) and spatial transcriptome (ST) data of EC from public databases. Enrichment scores were calculated for EC cell subpopulations using the “AddModuleScore” function and the AUCell package, respectively. Six predictive models were constructed, including logistic regression (LR), Gaussian naive Bayes (GaussianNB), k-nearest neighbor (KNN), support vector machine (SVM), extreme gradient boosting (XGB), and neural network (NK). Subsequently, receiver-operating characteristics with areas under the curves (AUCs) were used to assess the robustness of the predictive model. Result We classified EC cell coaggregation into six cell clusters, of which the epithelial, fibroblast and endothelial cell clusters had higher estrogen signaling pathway activity. We founded the epithelial cell subtype Epi cluster1, the fibroblast cell subtype Fib cluster3, and the endothelial cell subtype Endo cluster3 all showed early activation levels of estrogen response. Based on EC cell subtypes, estrogen-responsive early genes, and genes encoding Stage I and para-cancer differentially expressed proteins in EC patients, a total of 24 early diagnostic markers were identified. The AUCs values of all six classifiers were higher than 0.95, which indicates that the early diagnostic markers we screened have superior robustness across different classification algorithms. Conclusion Our study elucidates the potential biological mechanism of EC response to estrogen at single-cell resolution, which provides a new direction for early diagnosis of EC.

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Cell death-related biomarker SLC2A1 has a significant role in prognosis prediction and immunotherapy efficacy evaluation in pan-cancer

Cited by 4 publications

References 67 publications

Disruption of Circadian Clock Induces Abnormal Mammary Morphology and Aggressive Basal Tumorigenesis by Enhancing LILRB4 Signaling

Disruption of Circadian Clock Induces Abnormal Mammary Morphology and Aggressive Basal Tumorigenesis by Enhancing LILRB4 Signaling

Identification and validation of ferroptosis-related gene SLC2A1 as a novel prognostic biomarker in AKI

Single-cell analysis reveals landscape of endometrial cancer response to estrogen and identification of early diagnostic markers

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