Real-time quantitative PCR (RT-qPCR) analysis was performed to validate the knockdown efficiency of NFKB2 in Renca cells. by Yu Zhang (12946)

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Quantification analysis of the IHC staining from the HPA. by Yu Zhang (12946)

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655 glucocorticoid signaling-related genes collected from the MSigDB. by Yu Zhang (12946)

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Evaluation of the association between GSRS and CD8⁺ T cell infiltration using multiple algorithms based on the TCGA-KIRC cohort. by Yu Zhang (12946)

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Comparison of the predictive performance of GSRS, tumor mutational burden (TMB), and microsatellite instability (MSI) in forecasting immunotherapeutic response, as assessed by the... by Yu Zhang (12946)

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Enhanced GC signaling response in high-GSRS KIRC samples. by Yu Zhang (12946)

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GSRS was positively associated with T cell exhaustion (TEX) and predicted a reduced likelihood of response to immunotherapy. by Yu Zhang (12946)

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The differentially-expressed genes between C1 and C2 cases. by Yu Zhang (12946)

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The strength of gene interactions within this PPI network. by Yu Zhang (12946)

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Pan-cancer analyses of the prognosis value of NFKB2. by Yu Zhang (12946)

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Pan-cancer analyses of the association between GSRS and CD8⁺ T cell infiltration using the CIBERSORT-ABS algorithm. by Yu Zhang (12946)

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The 44 gene signatures collected from the published literature. by Yu Zhang (12946)

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Distribution (A) and association (B) between the identified clusters and the glucocorticoid signaling-related score (GSRS) stratification in the TCGA-KIRC cohort. by Yu Zhang (12946)

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Schematic overview of the study workflow. by Yu Zhang (12946)

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Spatial transcriptomics analysis of NFKB2, HSD11B1, and GR in KIRC tissues. by Yu Zhang (12946)

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Clinicopathological associations of GSRS. by Yu Zhang (12946)

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Spatial transcriptomics analysis indicated the association of GSRS with CD8⁺ T cell infiltration and TEX in KIRC samples. by Yu Zhang (12946)

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The difference of drug sensitivity between high and low-GSRS subjects in the TCGA-KIRC cohort. by Yu Zhang (12946)

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Differential expression of glucocorticoid signaling-related genes between paracarcinoma and KIRC tissues in the TCGA-KIRC cohort. by Yu Zhang (12946)

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Schematic diagram of rock samples. by Dengke Yang (842532)

“…The results reveal that (1) freeze-thaw cycles exert a significant influence on the rock’s creep behavior, with axial strain, instantaneous strain, and creep strain increasing progressively with the number of freeze-thaw cycles; (2) dual-fractured rock samples with varying fracture angles exhibit distinct differences in creep phenomena, where increased fracture angles result in pronounced increases in instantaneous and creep strains, and higher horizontal stress levels lead to greater strain generation; (3) all rock samples with different pre-existing fractures exhibit rock bridge breakthrough during creep failure, and the variation in fracture angle affects the failure mode; (4) and the long-term strength of the rock varies with changes in fracture angle and freeze-thaw cycle frequency, showing an increasing trend with greater fracture angles but a rapid decrease with increasing freeze-thaw cycles. …”