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Keywords: mTOR
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Oncoplot of the mutated genes  Assessment of the frequency and pattern of m...
Published: 25 November 2022
Figure 2 Oncoplot of the mutated genes Assessment of the frequency and pattern of mutations in patients with NSCLC from the MSKCC cohort. The mutation genes of 310 patients with NSCLC in this cohort were analyzed. Genes were listed by mutation frequency > 5%. More
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Construction of the GMS  ( A ) The LASSO regression was performed for varia...
Published: 25 November 2022
Figure 3 Construction of the GMS ( A ) The LASSO regression was performed for variable selection. ( B ) LASSO coefficient profiles of the nine candidate genes. ( C ) Kaplan–Meier curves for the OS of patients in the GMS-high group and GMS-low group in the MSKCC cohort. ( D ) The ROC curve measuri... More
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Validation of the predictive value of GMS  ( A ) Kaplan–Meier curves for th...
Published: 25 November 2022
Figure 4 Validation of the predictive value of GMS ( A ) Kaplan–Meier curves for the PFS of patients in the GMS-high group and GMS-low group in the Rizvi and Hellman cohorts. ( B ) The proportion of ORR for patients with GMS-low and GMS-high groups in the Rizvi and Hellman cohorts. ( C ) The prop... More
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Comparison of the activation characteristics of GMS in TCGA cohort  ( A ) K...
Published: 25 November 2022
Figure 5 Comparison of the activation characteristics of GMS in TCGA cohort ( A ) Kaplan–Meier curves for the OS of patients in the GMS-high group and GMS-low group in the TCGA cohort. ( B ) Comparison of nonsynonymous mutations between the GMS-low and GMS-high groups in the TCGA cohort. ( C ) Co... More
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The schematic image of arterial and venous pressure–volume curve  The prese...
Published: 23 November 2022
Figure 1 The schematic image of arterial and venous pressure–volume curve The presented graph represents the expected pressure-volume curves in large arteries (red) and veins (green). The tangent slope obtained in different values of pressure and volume is equivalent to the vessel compliance, whi... More
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Venous endothelium-derived factors in physiology and its adjustments in car...
Published: 23 November 2022
Figure 2 Venous endothelium-derived factors in physiology and its adjustments in cardiovascular diseases Upper panel: In physiology, the venous tone seems to be maintained through the balance of endothelium-derived relaxing factors (EDRFs) and endothelium-derived contracting factors (EDCFs). NO, ... More
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Biosci Rep (2022) 42 (11): BSR20221108.
Published: 21 November 2022
... ]. Preliminary studies have shown that in vitro and in vivo , ATP-competitive inhibitors of mTOR decrease the development of RCC cell lines more efficiently [ 113 ]. Sacubitril, an approved first-in-class drug that contains a neprilysin (NEP) inhibitor (sacubitril) to treat heart failure, was also discovered...
Includes: Supplementary data
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Biosci Rep (2022) 42 (11): BSR20221280.
Published: 21 November 2022
... the PI3K/Akt/mTOR signaling pathway [ 110 ]. By using several models of BCR::ABL+ CML and B-ALL, Neviani et al. showed that the knockdown of SET and treatment with FTY720 results in re-activation of PP2A which, in turn, dephosphorylates and deactivates BCR/ABL via SHP1. As a result, the clonogenic...
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Overview of SET localization, structure and expression in tissues  ( A ) Su...
Published: 21 November 2022
Figure 1 Overview of SET localization, structure and expression in tissues ( A ) Subcellular localization of SET. SET is mostly localized within the nucleoplasm. In addition, part of this protein has been found localized in liquid droplets within the cytoplasmic compartment. Image credit: Human P... More
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Role of SET in chromatin remodeling and gene transcription  As part of the ...
Published: 21 November 2022
Figure 2 Role of SET in chromatin remodeling and gene transcription As part of the INHAT complex (inhibitor of acetyl transferase) SET acts as a transcriptional repressor by masking histones and non histone proteins such as p53, Foxo, Sp1 and KLF5 from acetylation. ( A ) The histone acetyltransfe... More
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Expression of SET in cancer  Analysis of mRNA expression of SET across 17 f...
Published: 21 November 2022
Figure 3 Expression of SET in cancer Analysis of mRNA expression of SET across 17 forms of cancer (21 cancer subtypes) generated by RNA-seq from The Cancer Genome Atlas. ( A ) Box plots representing normal distribution of dataset shown as median and 25th and 75th percentile. Points are displayed ... More
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SET in cancer and tau neuropathies development  Dysregulation of SET expres...
Published: 21 November 2022
Figure 4 SET in cancer and tau neuropathies development Dysregulation of SET expression contributes to the development of cancer and tau neuropathies. ( A ) Overexpression of SET in cancer negatively impacts the activity of several tumor-suppressors such as p53, PP2A and the cyclin-dependent prot... More
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Graphical representation of the overall work performed in the present study...
Published: 21 November 2022
Figure 1 Graphical representation of the overall work performed in the present study Herein, the genomic study was performed initially in work; subsequently, conducted the transcriptomic research. More
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Volcano plot and heat map of all significant DEGs identified in the present...
Published: 21 November 2022
Figure 2 Volcano plot and heat map of all significant DEGs identified in the present study DEG distribution volcano maps in GSE781 ( A ), GSE9624 ( B ), GSE15072 ( C ), GSE26168 ( D ), and GSE40184 ( E ). The overexpressed and underexpressed DEGs are shown by red and green dots, respectively. ( F... More
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Shared dysregulated genes: a comparison, distribution, and comorbidities  (...
Published: 21 November 2022
Figure 3 Shared dysregulated genes: a comparison, distribution, and comorbidities ( A ) Venn diagram comparison of gene expression: (i) RCC with HCV and OB, (ii) RCC with T2D, and CKD, ( B ) chromosomal location of genes, ( C ) tissue- and cell-specific distribution of genes, ( D ) top-20 disease... More
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In diverse disorders, a heat map depicting the expression of common DEGs  T...
Published: 21 November 2022
Figure 4 In diverse disorders, a heat map depicting the expression of common DEGs The clustering feature displays the associated coexpression of the genes based on the log2FC values of the shared DEGs, while the green- and pink-colored boxes represent over- and underexpression of the genes in res... More
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Signalling pathways that are linked to the dysregulated genes in common  We...
Published: 21 November 2022
Figure 5 Signalling pathways that are linked to the dysregulated genes in common We utilized the Elsevier collection, Reactome (2016), KEGG (2019), and WikiPathways (2019) datasets to find the most essential pathways, and then provided the top 40 (top-10 from each of the three databases) with an ... More
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Ontological groupings of genes linked to dysregulated genes in common  Biol...
Published: 21 November 2022
Figure 6 Ontological groupings of genes linked to dysregulated genes in common Biological process (2018), cellular component (2018), and molecular function (2018) datasets were utilized to generate GO words. The top-30 most relevant GO keywords (top-10 from each of three databases) with an adjust... More
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The PPI networks are an illustration here  This network comprises ( A ) 185...
Published: 21 November 2022
Figure 7 The PPI networks are an illustration here This network comprises ( A ) 185 proteins in total, including 13 common DEGs in which hubs were identified and highlighted using the STRING data-degree base’s technique (confidence cutoff of 900). Hub proteins predicted by ( B ) degree, ( C ) MCC... More
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The commonly dysregulated genes were linked to gene regulatory networks  Th...
Published: 21 November 2022
Figure 8 The commonly dysregulated genes were linked to gene regulatory networks The gene-miRNA interacting network ( A ) and gene–TF interacting network ( B ) are depicted in this diagram. Degree centrality less than and equal to 2 and 5, respectively, were used to filter the interaction network... More
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Protein–drug networks are an illustration here  PDI is a network of people ...
Published: 21 November 2022
Figure 9 Protein–drug networks are an illustration here PDI is a network of people who work together to solve problems. The common dysregulated genes are shown by cadmium red color, whereas the interacting pharmacological molecules are represented by blue color. More
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Hypoxia is a dominant risk factor for the prognosis of patients with HCC  (...
Published: 18 November 2022
Figure 1 Hypoxia is a dominant risk factor for the prognosis of patients with HCC ( A ) Correlation analysis between the hypoxia score and clinicopathological characteristics of the GSE14520 cohort. ( B,C ) Univariate and multivariate Cox analyses showed that hypoxia was an independent risk facto... More
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Identification of key hypoxia-related gene modules  ( A ) Samples from the ...
Published: 18 November 2022
Figure 2 Identification of key hypoxia-related gene modules ( A ) Samples from the GSE14520 cohort were clustered using the R software package ‘WGCNA.’ ( B,C ) The coexpression network is a scale-free network when β = 5. ( D ) A total of 41 modules were obtained by the WGCNA method. ( E ) The gen... More
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Screening for prognostic hypoxia-related genes  ( A ) We identified 42 gene...
Published: 18 November 2022
Figure 3 Screening for prognostic hypoxia-related genes ( A ) We identified 42 genes that were associated with prognosis ( P <0.05), including 37 risk genes and five protective genes, by using univariate regression analysis. ( B ) LASSO regression to further compress the 42 genes in the GSE145... More
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Establishment and validation of the HPRS risk model  ( A ) The correlations...
Published: 18 November 2022
Figure 4 Establishment and validation of the HPRS risk model ( A ) The correlations of the candidate gene with HIF1A expression. ( B ) Risk score (top), patient status (middle), and mRNA expression heatmap (bottom) of the HPRS model for the GSE14520 training set. ( C ) ROC curve of the HPRS model... More
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Immune cell infiltration characteristics of the TME of different HPRS group...
Published: 18 November 2022
Figure 5 Immune cell infiltration characteristics of the TME of different HPRS groups ( A ) Expression levels of gene markers in immune cells were utilized to assess the immune cell infiltration features of HPRS subgroups in the four cohorts (GSE14520, TCGA, ICGC, and GSE76427 cohorts). ( B ) Imm... More
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Assessment of the predictive efficacy of the HPRS model for immunotherapy  ...
Published: 18 November 2022
Figure 6 Assessment of the predictive efficacy of the HPRS model for immunotherapy ( A – D ) The difference in immune-suppressive checkpoints between the high- and low-HPRS groups in the four cohorts (GSE14520, TCGA, ICGC, and GSE76427 cohorts). ( E ) The TNFSF4, BTLA, and GEM immune-suppressive ... More
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The HPRS model has a better prognostic ability than traditional clinical fe...
Published: 18 November 2022
Figure 7 The HPRS model has a better prognostic ability than traditional clinical features ( A ) Meta-analysis showed that patients with a high TNM stage had a worse prognosis (HR = 2.73, 95% CI = 2.14–5.48). ( B – D ) Patients in stages I, II, and III with a high HPRS had a worse prognosis than ... More
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HPRS combined with clinicopathological characteristics could further improv...
Published: 18 November 2022
Figure 8 HPRS combined with clinicopathological characteristics could further improve its prognostic prediction ability ( A ) A survival decision tree was constructed based on four clinicopathological parameters of patients, including age, sex, TNM staging, and HPRS, in the whole dataset. ( B ) T... More
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