SHMT as a Potential Therapeutic Target for Renal Cell Carcinoma.

BACKGROUND: Serine hydroxymethyltransferase (SHMT) is a serine-glycine-one-carbon metabolic enzyme in which SHMT1 and SHMT2 encode the cytoplasmic and mitochondrial isoenzymes, respectively. SHMT1 and SHMT2 are key players in cancer metabolic reprogramming, and thus are attractive targets for cancer therapy. However, the role of SHMT in patients with renal cell carcinoma (RCC) has not been fully elucidated. We aimed to systematically analyze the expression, gene regulatory network, prognostic value, and target prediction of SHMT1 and SHMT2 in patients with kidney chromophobe (KICH), kidney renal clear cell carcinoma (KIRC), and kidney renal papillary cell carcinoma (KIRP); elucidate the association between SHMT expression and RCC; and identify potential new targets for clinical RCC treatment. METHODS: Several online databases were used for the analysis, including cBioPortal, TRRUST, GeneMANIA, GEPIA, Metascape, UALCAN, LinkedOmics, and TIMER. RESULTS: SHMT1 and SHMT2 transcript levels were significantly down- and upregulated, respectively, in patients with KICH, KIRC, and KIRP, based on sample type, individual cancer stage, sex, and patient age. Compared to men, women with KIRC and KIRP showed significantly up- and downregulated SHMT1 transcript levels, respectively. However, SHMT2 transcript levels were significantly upregulated in the patients mentioned above. KIRC and KIRP patients with high SHMT1 expression had longer survival periods than those with low SHMT1 expression. In patients with KIRC, the findings were similar to those mentioned above. However, in KICH patients, the findings were the opposite regarding SHMT2 expression. SHMT1 versus SHMT2 were altered by 9% versus 3% (n = 66 KICH patients), 4% versus 4% (n = 446 KIRC patients), and 6% versus 7% (n = 280 KIRP patients). SHMT1 versus SHMT2 promoter methylation levels were significantly up- and downregulated in patients with KIRP versus KIRC and KIRP, respectively. SHMT1, SHMT2, and their neighboring genes (NG) formed a complex network of interactions. The molecular functions of SHMT1 and its NG in patients with KICH, KIRC, and KIRP, included clathrin adaptor, metalloendopeptidase, and GTPase regulator activities; lipid binding, active transmembrane transporter activity, and lipid transporter activity; and type I interferon receptor binding, integrin binding, and protein heterodimerization, respectively. Their respective Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were involved in lysosome activity, human immunodeficiency virus 1 infection, and endocytosis; coronavirus disease 2019 and neurodegeneration pathways (multiple diseases); and RIG-I-like receptor signaling pathway, cell cycle, and actin cytoskeleton regulation. The molecular functions of SHMT2 and its NG in patients with KICH, KIRC, and KIRP included cell adhesion molecule binding and phospholipid binding; protein domain-specific binding, enzyme inhibitor activity, and endopeptidase activity; and hormone activity, integrin binding, and protein kinase regulator activity, respectively. For patients with KIRC versus KIRP, the KEGG pathways were involved in cAMP and calcium signaling pathways versus microRNAs (MiRNAs) in cancer cells and neuroactive ligand-receptor interactions, respectively. We identified the key transcription factors of SHMT1 and its NG. CONCLUSIONS: SHMT1 and SHMT2 expression levels were different in patients with RCC. SHMT1 and SHMT2 may be potential therapeutic and prognostic biomarkers in these patients. Transcription factor (MYC, STAT1, PPARG, AR, SREBF2, and SP3) and miRNA (miR-17-5P, miR-422, miR-492, miR-137, miR-30A-3P, and miR-493) regulations may be important strategies for RCC treatment.

Systematic analysis of the BET family in adrenocortical carcinoma: The expression, prognosis, gene regulation network, and regulation targets.

Background: Bromodomain and extracellular terminal (BET) family (including BRD2, BRD3, and BRD4) is considered to be a major driver of cancer cell growth and a new target for cancer therapy. Currently, more than 30 targeted inhibitors have shown significant inhibitory effects against various tumors in preclinical and clinical trials. However, the expression levels, gene regulatory networks, prognostic value, and target prediction of BRD2, BRD3, and BRD4 in adrenocortical carcinoma (ACC) have not been fully elucidated. Therefore, this study aimed to systematically analyze the expression, gene regulatory network, prognostic value, and target prediction of BRD2, BRD3, and BRD4 in patients with ACC, and elucidated the association between BET family expression and ACC. We also provided useful information on BRD2, BRD3, and BRD4 and potential new targets for the clinical treatment of ACC. Methods: We systematically analyzed the expression, prognosis, gene regulatory network, and regulatory targets of BRD2, BRD3, and BRD4 in ACC using multiple online databases, including cBioPortal, TRRUST, GeneMANIA, GEPIA, Metascape, UALCAN, LinkedOmics, and TIMER. Results: The expression levels of BRD3 and BRD4 were significantly upregulated in ACC patients at different cancer stages. Moreover, the expression of BRD4 was significantly correlated with the pathological stage of ACC. ACC patients with low BRD2, BRD3, and BRD4 expressions had longer survival than patients with high BRD2, BRD3, and BRD4 expressions. The expression of BRD2, BRD3, and BRD4 was altered by 5%, 5%, and 12% in 75 ACC patients, respectively. The frequency of gene alterations in the 50 most frequently altered BRD2, BRD3, and BRD4 neighboring genes in these ACC patients were ≥25.00%, ≥25.00%, and ≥44.44%, respectively. BRD2, BRD3, and BRD4 and their neighboring genes form a complex network of interactions mainly through co-expression, physical interactions, and shared protein domains. Molecular functions related to BRD2, BRD3, and BRD4 and their neighboring genes mainly include protein-macromolecule adaptor activity, cell adhesion molecule binding, and aromatase activity. Chemokine signaling pathway, thiamine metabolism, and olfactory transduction were found to be enriched as per the KEGG pathway analysis. SP1, NPM1, STAT3, and TP53 are key transcription factors for BRD2, BRD4, and their neighboring genes. MiR-142-3P, miR-484, and miR-519C were the main miRNA targets of BRD2, BRD3, BRD4, and their neighboring genes. We analyzed the mRNA sequencing data from 79 patients with ACC and found that ZSCAN12, DHX16, PRPF4B, EHMT1, CDK5RAP2, POMT1, WIZ, ZNF543, and AKAP8 were the top nine genes whose expression were positively associated with BRD2, BRD3, and BRD4 expression. The expression level of BRD2, BRD3, and BRD4 positively correlated with B cell and dendritic cell infiltration levels. BRD4-targeted drug PFI-1 and (BRD2, BRD3, and BRD4)-targeted drug I-BET-151 may have good inhibitory effects on the SW13 cell line. Conclusions: The findings of this study provide a partial basis for the role of BRD2, BRD3, and BRD4 in the occurrence and development of ACC. In addition, this study also provides new potential therapeutic targets for ACC, which can serve as a reference for future basic and clinical research.

PYCR in Kidney Renal Papillary Cell Carcinoma: Expression, Prognosis, Gene Regulation Network, and Regulation Targets.

BACKGROUND: Pyrroline-5-carboxylate reductase (PYCR) includes three human genes encoding three isozymes, PYCR1, PYCR2, and PYCR3 (or PYCRL), which facilitate the final step in the conversion of glutamine to proline. These genes play important roles in regulating the cell cycle and redox homeostasis as well as promoting growth signaling pathways. Proline is abnormally upregulated in a variety of cancers, and as the last key enzyme in proline production, PYCR plays an integral role in promoting tumorigenesis and cancer progression. However, its role in patients with kidney renal papillary cell carcinoma (KIRP) has not been fully elucidated. In this study, we aimed to systematically analyze the expression, gene regulatory network, prognostic value, and target prediction of PYCR in patients with KIRP, elucidate the association between PYCR expression and KIRP, and identify potential new targets for the clinical treatment of KIRP. METHODS: We systematically analyzed the expression, prognosis, gene regulatory network, and regulatory targets of PYCR1, PYCR2, and PYCRL in KIRP using multiple online databases including cBioPortal, STRING, MethSurv, GeneMANIA, Gene Expression Profiling Interactive Analysis (GEPIA), Metascape, UALCAN, LinkedOmics, and TIMER. RESULTS: The expression levels of PYCR1, PYCR2, and PYCRL were considerably upregulated in patients with KIRP based on sample type, sex, age, and individual cancer stage. PYCR1 and PYCR2 transcript levels were markedly upregulated in females than in males, and patients aged 21-40 years had higher PYCR1 and PYCR2 transcript levels than those in other age groups. Interestingly, PYCR2 transcript levels gradually decreased with age. In addition, the expressions of PYCR1 and PYCR2 were notably correlated with the pathological stage of KIRP. Patients with KIRP with low PYCR1 and PYCR2 expression had longer survival than those with high PYCR1 and PYCR2 expression. PYCR1, PYCR2, and PYCRL were altered by 4%, 7%, and 6%, respectively, in 280 patients with KIRP. The methylation levels of cytosine-phosphate-guanine (CpG) sites in PYCR were markedly correlated with the prognosis of patients with KIRP. PYCR1, PYCR2, PYCRL, and their neighboring genes form a complex network of interactions. The molecular functions of the genes, as demonstrated by their corresponding Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses, included calcium channel activity, phospholipid binding, RNA polymerase II-specificity, and kinase and GTPase-regulatory activities. PYCR1, PYCR2, and PYCRL targeted miR-21, miR-221, and miR-222, resulting in a better prognosis of KIRP. We analyzed mRNA sequencing data from 290 patients with KIRP and found that ADA, NPM3, and TKT were positively associated with PYCR1 expression; PFDN2, JTB, and HAX1 were positively correlated with PYCR2 expression; SHARPIN, YDJC, and NUBP2 were positively correlated with PYCRL expression; PYCR1 was positively correlated with B cell and CD8+ T-cell infiltration levels; macrophage infiltration was negatively correlated with PYCR2 expression; and PYCRL expression was negatively correlated with B-cell, CD8+ T cell, and dendritic cell infiltration levels. CONCLUSIONS: PYCR1, PYCR2, and PYCRL may be potential therapeutic and prognostic biomarkers for patients with KIRP. The regulation of microRNAs (miRNAs), including miR-21, miR-221, and miR-222, may prove an important strategy for KIRP treatment.