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Pan-cancer analysis of the prognostic and immunological role of RPL4.
Ribosomal proteins (RPs) play an important role in the overall stability, function, and integrity of ribosomes. Ribosomal protein L4 (RPL4), which is encoded by RPL4, is assumed to play different roles in different cancers due to the strong correlation between them. However, research based on the underlying mechanisms of this correlations is limited. Therefore, this study investigated the biological role of RPL4 in various cancers. The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases were used to compare the differential expression of RPL4 in tumor and normal tissues. The Sangerbox database and Kaplan-Meier method were employed to assess RPL4's impact on the prognosis of pan-cancer. Analyses using the cBioPortal tool, Shiny Methylation Analysis Resource Tool (SMART), and MethSurv provided insights into the methylation and epigenetic alterations of RPL4. Gene enrichment analysis revealed that RPL4 is involved in ribosome biogenesis through multiple pathways, and its enrichment in signaling pathways directly or indirectly influence tumor development. Tumor Immune Single-cell Hub (TISCH) was used to analyze RPL4 expression levels and cellular functions in the tumor microenvironment. Tumor Immune Estimation Resource Database 2.0 (TIMER2.0) and Tumor-Immune System Interactions Database (TISIDB) tools revealed that RPL4 affected the immune infiltration potential of tumors. Furthermore, the application of the ROC mapper and CellMiner databases indicated an association between RPL4 and sensitivity to multiple antitumor drugs. Additionally, RPL4 was found to remodel the tumor immune microenvironment, leading to the development of chemoresistance. In conclusion, the findings suggest that RPL4 can be used as a potential tumor biomarker and may serve as a target for immunotherapy in various cancers. Genetic testing of RPL4 provides a foundation for the diagnosis, prognosis, and treatment of clinical tumors.
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Prognostic value of FUBP1 in Colorectal cancer and association with immune microenvironment characteristics.
OBJECTIVE: To investigate FUBP1 expression, its prognostic value, impact on the tumor microenvironment (TME), and drug sensitivity in colorectal cancer (CRC), and to explore its potential underlying mechanisms. METHODS: Using data from The Cancer Genome Atlas (TCGA), we analyzed FUBP1 expression in CRC, evaluated its prognostic value via survival analysis and nomogram construction, performed pathway enrichment analysis, and assessed immune cell infiltration and Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) scores. We further conducted immunohistochemistry (IHC) validation on an independent institutional cohort and analyzed the Gene Expression Omnibus (GEO) single-cell RNA sequencing dataset GSE132465 (n = 63,689 cells) to examine the association between FUBP1 expression and the tumor immune microenvironment at single-cell resolution. RESULTS: FUBP1 was highly expressed in CRC (P < 0.001), particularly in younger patients. High FUBP1 expression was associated with improved overall survival in univariate analysis (HR = 0.68, P = 0.028), yet this association was not maintained as an independent prognostic factor after adjustment for other clinical covariates (HR = 0.722, P = 0.098). Immunohistochemistry results from the independent cohort confirmed upregulated FUBP1 protein in 90% of CRC specimens. Single-cell analysis revealed that FUBP1-high cell clusters exhibited markedly reduced immune cell infiltration (35.97%vs 62.96%, P < 0.001), indicating an immunosuppressive "cold" tumor microenvironment. Tumors with high FUBP1 expression also displayed elevated PD-L1, PD-1, and CTLA4 expression, lower half-maximal inhibitory concentration (IC50) values for oxaliplatin, irinotecan, and 5-fluorouracil, and higher Immune Phenotype Score (IPS) for anti-PD-1 monotherapy or combined anti-CTLA-4 immunotherapy. FUBP1 expression was correlated with increased expression of MYC, TP53, and their downstream target genes (CCND1, CDK4, BAX, CDKN1A). CONCLUSION: FUBP1 is highly expressed in CRC and associated with an immunosuppressive "cold" tumor microenvironment characterized by decreased immune cell infiltration, while it correlates with favorable chemotherapeutic sensitivity. FUBP1 may serve as a potential predictive biomarker for responses to chemotherapy and immunotherapy, rather than an independent prognostic indicator for survival. Its linkage to MYC and TP53 signaling pathways warrants further mechanistic investigation.
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A PTN+ glioblastoma subclone orchestrates immune reprogramming to drive distant recurrence.
AIMS: Distant recurrence (DR) represents a distinct and lethal trajectory in glioblastoma (GBM), characterized by the colonization of spatially isolated neural niches. The mechanisms by which disseminated tumor cells remodel the microenvironment to overcome anatomical and immunological barriers remain poorly understood. This study aimed to decode the immune ecosystem of DR and elucidate the intercellular crosstalk driving this lethal dissemination. METHODS: We performed single-cell RNA sequencing (scRNA-seq) on paired primary and DR tumor specimens from GBM patients, alongside an independent local recurrence (LR) control cohort, to map dynamic cellular shifts. Bioinformatic analyses, including differential abundance testing (Milo), cell-cell communication inference (CellChat), and copy number variation (CNV) analysis, were integrated with clinical co-immunoprecipitation (Co-IP) validation, bidirectional in vitro co-culture assays, and an orthotopic xenograft mouse model. RESULTS: Our high-resolution atlas revealed a profound remodeling of the microenvironment in DR lesions, characterized by a specific expansion of anti-inflammatory monocyte-derived tumor-associated macrophages (Anti_infl-TAM) and a paradoxical co-enrichment of CD8 + T cells and Tregs. Mechanistically, an OPC-like subpopulation of PTN+ tumor cells acted as a "paracrine architect," promoting Anti_infl-TAM polarization through the interaction between PTN and NCL. Co-IP assays confirmed direct physical binding of these two proteins in human DR tissues. Functional and bidirectional knockdown assays demonstrated that decoupling this cellular communication, achieved by targeting either PTN in tumor cells or NCL in macrophages, significantly attenuated glioma cell proliferation, migration, invasion, and macrophage polarization. In vivo, silencing PTN markedly reduced Anti_infl-TAM infiltration, suppressed intracranial tumor burden, and prolonged overall survival in tumor-bearing mice. CONCLUSION: This study establishes that DR GBM is defined by a reconfigured immune niche rather than mere genetic drift. The paracrine crosstalk between PTN+ tumor cells and Anti_infl-TAM serves as a critical engine of this permissive soil, offering a promising therapeutic target to disrupt the supportive microenvironment in distant recurrent GBM.
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Development and verification of a manganese metabolism- and immune-related genes signature for prediction of prognosis and immune landscape in gastric cancer.
BACKGROUND: Gastric cancer (GC) poses a global health challenge due to its widespread prevalence and unfavorable prognosis. Although immunotherapy has shown promise in clinical settings, its efficacy remains limited to a minority of GC patients. Manganese, recognized for its role in the body's anti-tumor immune response, has the potential to enhance the effectiveness of tumor treatment when combined with immune checkpoint inhibitors. METHODS: Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases was utilized to obtain transcriptome information and clinical data for GC. Unsupervised clustering was employed to stratify samples into distinct subtypes. Manganese metabolism- and immune-related genes (MIRGs) were identified in GC by univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression analysis. We conducted gene set variation analysis, and assessed the immune landscape, drug sensitivity, immunotherapy efficacy, and somatic mutations. The underlying role of NPR3 in GC was further analyzed in the single-cell RNA sequencing data and cellular experiments. RESULTS: GC patients were classified into four subtypes characterized by significantly different prognoses and tumor microenvironments. Thirteen genes were identified and established as MIRGs, demonstrating exceptional predictive effectiveness in GC patients. Distinct enrichment patterns of molecular functions and pathways were observed among various risk subgroups. Immune infiltration analysis revealed a significantly greater abundance of macrophages and monocytes in the high-risk group. Drug sensitivity analysis identified effective drugs for patients, while patients in the low-risk group could potentially benefit from immunotherapy. NPR3 expression was significantly downregulated in GC tissues. Single-cell RNA sequencing analysis indicated that the expression of NPR3 was distributed in endothelial cells. Cellular experiments demonstrated that NPR3 facilitated the proliferation of GC cells. CONCLUSION: This is the first study to utilize manganese metabolism- and immune-related genes to identify the prognostic MIRGs for GC. The MIRGs not only reliably predicted the clinical outcome of GC patients but also hold the potential to guide future immunotherapy interventions for these patients.
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Pan-cancer analysis of UBE2T with a focus on prognostic and immunological roles in lung adenocarcinoma.
BACKGROUND: Ubiquitin-conjugating enzyme E2 T (UBE2T) is a potential oncogene. However, Pan-cancer analyses of the functional, prognostic and predictive implications of this gene are lacking. METHODS: We first analyzed UBE2T across 33 tumor types in The Cancer Genome Atlas (TCGA) project. We investigated the expression level of UBE2T and its effect on prognosis using the TCGA database. The correlation between UBE2T and cell cycle in pan-cancer was investigated using the single-cell sequencing data in Cancer Single-cell State Atlas (CancerSEA) database. The Weighted Gene Co-expression Network analysis (WGCNA), Univariate Cox and Least absolute shrinkage and selection operator (LASSO) Cox regression models, and receiver operating characteristic (ROC) were applied to assess the prognostic impact of UBE2T-related cell cycle genes (UrCCGs). Furthermore, the consensus clustering (CC) method was adopted to divide TCGA-lung adenocarcinoma (LUAD) patients into subgroups based on UrCCGs. Prognosis, molecular characteristics, and the immune panorama of subgroups were analyzed using Single-sample Gene Set Enrichment Analysis (ssGSEA). Results derived from TCGA-LUAD patients were validated in International Cancer Genome Consortium (ICGC)-LUAD data. RESULTS: UBE2T is highly expressed and is a prognostic risk factor in most tumors. CancerSEA database analysis revealed that UBE2T was positively associated with the cell cycle in various cancers(r > 0.60, p < 0.001). The risk signature of UrCCGs can reliably predict the prognosis of LUAD (AUC1 year = 0.720, AUC3 year = 0.700, AUC5 year = 0.630). The CC method classified the TCGA-LUAD cohort into 4 UrCCG subtypes (G1-G4). Kaplan-Meier survival analysis demonstrated that G2 and G4 subtypes had worse survival than G3 (Log-rank test PTCGA training set < 0.001, PICGC validation set < 0.001). A comprehensive analysis of immune infiltrates, immune checkpoints, and immunogenic cell death modulators unveiled different immune landscapes for the four subtypes. High immunophenoscore in G3 and G4 tumors suggested that these two subtypes were immunologically "hot," tending to respond to immunotherapy compared to G2 subtypes (p < 0.001). CONCLUSIONS: UBE2T is a critical oncogene in many cancers. Moreover, UrCCG classified the LUAD cohort into four subgroups with significantly different survival, molecular features, immune infiltrates, and immunotherapy responses. UBE2T may be a therapeutic target and predictor of prognosis and immunotherapy sensitivity.
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Single-cell and spatially resolved omics reveal transcriptional and metabolic signatures of ovarian endometriomas.
Endometriosis involves ectopic growth of endometrial-like tissue, yet the spatial transcriptomic and metabolic landscape of ovarian endometriomas remains poorly understood. This investigation presents a comprehensive multi-omics analysis of ovarian endometriomas incorporating single-cell RNA sequencing in conjunction with Digital Spatial Profiler-Whole Transcriptome Atlas for spatial transcriptomics, and non-targeted Matrix-Assisted Laser Desorption/Ionization-Mass Spectrometry Imaging for spatially resolved metabolomics. Our integrated analysis confirms the importance of cell adhesion, ECM-receptor interaction, and focal adhesion pathways in disease context. We identify XBP1, VCAN, and CLDN7 as key markers in epithelial cells, and THBS1 in perivascular cells. Spatially resolved metabolomics further reveals altered activity of cytochrome P450 enzymes, lipoprotein particles, and cholesterol metabolism in mesenchymal regions, along with several undefined metabolites enriched in epithelial areas of endometriomas compared to ovarian cortex controls. These findings reveal potential markers and metabolic pathways linked to ovarian endometriomas, offering a foundation for future diagnostic and therapeutic strategies.
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Single-cell analysis of human adipose tissue identifies depot and disease specific cell types.
The complex relationship between metabolic disease risk and body fat distribution in humans involves cellular characteristics which are specific to body fat compartments. Here we show depot-specific differences in the stromal vascual fraction of visceral and subcutaneous adipose tissue by performing single-cell RNA sequencing of tissue specimen from obese individuals. We characterize multiple immune cells, endothelial cells, fibroblasts, adipose and hematopoietic stem cell progenitors. Subpopulations of adipose-resident immune cells are metabolically active and associated with metabolic disease status and those include a population of potential dysfunctional CD8+ T cells expressing metallothioneins. We identify multiple types of adipocyte progenitors that are common across depots, including a subtype enriched in individuals with type 2 diabetes. Depot-specific analysis reveals a class of adipocyte progenitors unique to visceral adipose tissue, which shares common features with beige preadipocytes. Our human single-cell transcriptome atlas across fat depots provides a resource to dissect functional genomics of metabolic disease.
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An anoikis-related signature predicts prognosis and immunotherapy response in gastrointestinal cancers.
BACKGROUND: Gastrointestinal (GI) cancers have high incidence rates and mortality rates. Anoikis is a special type of cell apoptosis, and anoikis resistance has been reported to be associated with tumor malignancy. We aimed to explore the roles of anoikis-related genes (ARGs) in the GI cancer prognosis. METHODS: We extracted RNA sequencing and clinical data from The Cancer Genome Atlas and Gene Expression Omnibu databases for patients with esophageal cancer, gastric cancer, colon cancer and rectal cancer and identified ARGs from GeneCards and Harmonizome. Anoikis-related patterns were identified via unsupervised clustering analysis. We constructed a prognostic signature (Anoscore) based on prognostic ARGs through univariate, LASSO, and multivariate Cox regression analyses. The model was validated and evaluated using Kaplan-Meier analysis, receiver operating characteristic curves, univariate Cox regression analysis, multivariate Cox regression analysis, column charts, and calibration curves. We also performed a single-cell sequencing analysis of candidate genes via TISCH2. A correlation analysis between the Anoscore, the tumor microenvironment and drug sensitivity was conducted in GI cancers. The expression and function of some candidate genes were validated in vitro. RESULTS: In terms of prognostic ARGs, two anoikis-related patterns, ARG clusters A and B, were identified. ARG cluster B had a worse prognosis than did ARG cluster A. Subsequently, the Anoscore was developed as an independent prognostic factor. It demonstrated the robust predictive capability for the prognosis of patients with GI cancers. Notably, patients with high Anoscores exhibited poor outcomes. In addition, we established a nomogram (Ano-nomogram) based on the Anoscore and clinicopathological factors of patients to predict the 3-year and 5-year survival probabilities. Moreover, patients with high Anoscores had higher levels of immune cell infiltration and higher immune checkpoint expression. The drug sensitivity analysis revealed that patients with high or low Anoscores were sensitive to different chemotherapies and targeted drugs. S100A11 and TLR3, representative candidate genes, exhibited different expression patterns and biological functions. CONCLUSION: This study highlighted the significant potential of the Anoscore in predicting prognosis and guiding the selection of personalized therapeutic regimens for patients with GI cancers.
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Kurarinone regulates Th17/Treg balance and ameliorates autoimmune uveitis via Rac1 inhibition.
INTRODUCTION: Autoimmune uveitis (AU) is a severe intraocular autoimmune disorder with a chronic disease course and a high rate of blindness. Kurarinone (KU), a major component of the traditional Chinese medicine Sophorae Flavescentis Radix, possesses a wide spectrum of activities and has been used to treat several inflammation-related diseases. OBJECTIVE: We aimed to investigate the effects of KU on AU and its modulatory mechanisms. METHODS: We used an experimental autoimmune uveitis (EAU) animal model and characterized the comprehensive immune landscape of KU-treated EAU mice using single-cell RNA sequencing (scRNA-seq). The retina and lymph nodes were analyzed. The siRNAs and selective inhibitors were used to study the signaling pathway. The effect of KU on peripheral blood mononuclear cells (PBMCs) from uveitis patients was also examined. RESULTS: We found that KU relieved chorioretinal lesions and immune cell infiltration in EAU model mice. Subsequent single-cell analysis revealed that KU downregulated the EAU-upregulated expression of inflammatory and autoimmune-related genes and suppressed pathways associated with immune cell differentiation, activation, and migration in a cell-specific manner. KU was implicated in restoring T helper 17 (Th17)/regulatory T (Treg) cell balance by alleviating inflammatory injury and elevating the expression of modulatory mediators in Tregs, while simultaneously ameliorating excessive inflammation by Th17 cells. Furthermore, Rac1 and the Id2/Pim1 axis potentiated the pathogenicity of Th17 cells during EAU, which was inhibited by KU treatment, contributing to the amelioration of EAU-induced inflammation and treatment of AU. In addition, KU suppressed inflammatory cytokine production in activated human PBMCs by inhibiting Rac1. Integration of the glucocorticoid-treated transcriptome suggests that KU has immunomodulatory effects on lymphocytes. CONCLUSION: Our study constructed a high-resolution atlas of the immunoregulatory effects of KU treatment on EAU and identified its potential therapeutic mechanisms, which hold great promise in treating autoimmune disorders.
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Tumor-derived Parathyroid Hormone-Related Protein Is Associated with Suppression of Cytochrome P450 Expression: Evidence From Multimodal Transcriptomics.
Cancer cachexia is frequently associated with altered pharmacokinetics and increased chemotherapy toxicity due to the downregulation of cytochrome P450 (CYP) enzymes. However, the molecular mechanisms driving this broad metabolic suppression remain poorly understood. This study investigated whether tumor-derived parathyroid hormone-related protein (PTHrP) is associated with, and may contribute to, suppression of multiple CYP families. In a rat cachexia model, protein expression of CYP3A, CYP1A, CYP2C, CYP2D, and CYP2E1 was significantly downregulated in both the liver and small intestine. Consistent with these changes, pharmacokinetic analyses using a CYP substrate cocktail demonstrated markedly increased AUC and reduced clearance for probe drugs. In vitro experiments showed that PTHrP treatment reduced these CYP isoforms in primary rat hepatocytes. In human data sets, analysis of The Cancer Genome Atlas (TCGA) hepatocellular carcinoma (HCC) data set revealed a significant negative correlation between PTHrP and CYP gene expression, together with enrichment of NF-κB-related transcriptional programs. Furthermore, multimodal analysis using single-cell RNA sequencing and spatial transcriptomics demonstrated that PTHrP-high tumor regions exhibit suppressed xenobiotic metabolism. Additionally, in breast cancer liver metastases, high tumor PTHrP expression correlated with reduced CYP expression in surrounding nontumor hepatocytes, consistent with a possible paracrine relationship. Collectively, these results support an association between tumor-derived PTHrP and suppression of drug-metabolizing programs. They further suggest that PTHrP may be one contributing factor, but not definitive proof of a principal suppressor, and should therefore be considered a candidate biomarker requiring further mechanistic and clinical validation.