Journal of Translational Medicine, Год журнала: 2025, Номер 23(1)
Опубликована: Апрель 3, 2025
Язык: Английский
Journal of Translational Medicine, Год журнала: 2025, Номер 23(1)
Опубликована: Май 2, 2025
Lung adenocarcinoma (LUAD) presents a considerable danger to human health and has evolved into major public concern. Ribosome biogenesis (RiboSis) is critical process for synthesizing ribosomes, closely associated with cancer initiation, progression, treatment resistance, potentially serving as target future therapies. Utilizing single-cell RNA sequencing (scRNA-seq) technology, atlas of LUAD was delineated, focusing on the analysis T cell subpopulations. Cells were scored based expression patterns 331 genes RiboSis across different types, monocle2 employed analyze developmental trajectory CD4+ cells. Employing various machine learning algorithms, ribosome biogenesis-related signature (RBS) constructed compared 140 published prognostic models. The relationship between RBS risk scores factors in patients, including prognosis, tumor immune microenvironment (TIME), responsiveness immunotherapy, sensitivity pharmacological treatments specifically analyzed. Immunohistochemistry utilized validate levels markers high- low- groups, vitro experiments performed functional role pivotal gene KIF23 progression LUAD. Using analysis, two distinct subtypes identified: CD8+ interferon (IFN) response cells stress It observed that naive-like exhibit high RiboSis-related genes, gradual decrease activity develop. Compared other models, demonstrated superior performance prognosis prediction. low-RBS group exhibited (TME) more favorable efficient monitoring reaction, higher better prognosis. confirmed group, while validated promoting proliferation, migration invasion. This study delves subpopulations, identifying potent biomarker aids assessing immunotherapy efficacy ultimately enhancing their guiding clinical decision-making.
Язык: Английский
Процитировано
0
Journal of Translational Medicine, Год журнала: 2025, Номер 23(1)
Опубликована: Май 14, 2025
Язык: Английский
Процитировано
0
Journal of Translational Medicine, Год журнала: 2025, Номер 23(1)
Опубликована: Май 23, 2025
Язык: Английский
Процитировано
0
Journal of Translational Medicine, Год журнала: 2025, Номер 23(1)
Опубликована: Фев. 4, 2025
Prostate Tumor Overexpressed 1 (PTOV1) is overexpressed and associated with malignant phenotypes in various types of tumors. However, the detailed roles PTOV1 its underlying mechanism CRC remain unclear. The clinical significance was assessed databases samples. effects on tumor-associated were detected by several vitro assays vivo mouse models. Immunoprecipitation (IP) combined protein mass spectrometry Co-Immunoprecipitation (Co-IP) used to identify p53 interacting PTOV1. Immunofluorescence assay, western blot transmission electron microscopy (TEM) analysis evaluated autophagy. Here, we revealed that highly expressed human tissues, especially at advanced stages, reduced survival time among patients. upregulated promoted cell proliferation, migration, invasion, tumor growth metastasis cells vivo. At molecular level, destabilized activating autophagy recruiting for cargo receptor SQSTM1 directed autophagic degradation. There a negative expression correlation between tissues. Moreover, overexpression or knockdown reversed pro-tumor CRC. Our study unveils oncogenic role progression, which achieved promoting degradation p53. These findings highlight potential targeting PTOV1-SQSTM1-p53 axis as therapeutic approach
Язык: Английский
Процитировано
0
Journal of Translational Medicine, Год журнала: 2025, Номер 23(1)
Опубликована: Фев. 19, 2025
Tuberculosis (TB) is a major global health issue. Early diagnosis of TB still challenge. Studies are seeking non-sputum biomarker-based test. Emerging evidence indicates potential significance blood microbiome signatures for diseases. However, RNA profiles unknown in TB. We aimed to characterize the patients and identify Mycobacterium tuberculosis (Mtb) genome-derived small molecules serve as diagnostic biomarkers sequencing data from healthy controls were retrieved NCBI-SRA database analyzing identifying rRNA-derived (rsRNA) Mtb. Small RNA-seq was performed on plasma exosomes controls. The levels candidate Mtb rsRNAs determined by real-time quantitative reverse transcription PCR (RT-qPCR) separate cohort 73 62 consisted signals bacteria, fungi, archaea, viruses, with bacteria accounting more than 97% total. Reduced microbial diversity abundance 6 Mycobacterium-associated bacterial genera, including Mycobacterium, Priestia, Nocardioides, Agrobacterium, Bradyrhizobium, Escherichia, significantly altered patients. A model based genera achieved an area under curve (AUC) 0.8945. mapped genome identified RT-qPCR results showed that 2 Mtb-derived rsRNAs, 16 S-L1 S-L2, could be used differentiate controls, high co-diagnostic efficacy (AUC = 0.7197). panel can diagnosis.
Язык: Английский
Процитировано
0
Health Science Reports, Год журнала: 2025, Номер 8(2)
Опубликована: Фев. 1, 2025
ABSTRACT Background and Aims Several studies were performed to evaluate the relationship between CBC patients with diabetes mellitus (DM). In this review, we discussed prognostic value of parameters in DM patients. Methods English literature was searched retrieved from Google Scholar search engine PubMed database (1980–2024). “Diabetes mellitus,” “Blood cell count,” “Mean platelet volume,” “Leukocytes,” “Inflammation” used as keywords. Results increases vascular inflammation oxidative stress, while affects erythropoiesis red blood deformation, thus increasing distribution width (RDW). Mean volume (MPV) is another useful biomarker for Additionally, elevated neutrophil‐lymphocyte ratio (NLR) levels are associated poor glycemic control T2DM patients, so it can be a screening tool diabetic follow‐up. Conclusion RDW valuable independent assess prognosis DM. MPV also noninvasive, widely available, low‐cost marker key factor well Prognostic/diagnostic that could Total white count, NLR, lymphocyte (MPVLR), monocyte high‐density lipoprotein (MHR) biomarkers predicting
Язык: Английский
Процитировано
0
Journal of Translational Medicine, Год журнала: 2025, Номер 23(1)
Опубликована: Фев. 28, 2025
Subretinal fibrosis is an important cause of visual loss in age-related macular degeneration, but its mechanism remains unclear. This study aims to investigate the role macrophage-to-myofibroblast transition (MMT) formation subretinal and assess whether circ_0001103 can regulate by regulating MMT. was induced C57BL/6J mice laser induction. The expression profiles circRNAs a choroidal neovascularization (CNV) model were accessed via microarray analysis. MMT TGF-β1 (2.5 ng/ml, 48 h). Immunohistochemistry used macrophages (F4/80), (α-SMA) fibrovascular lesions (collagenI Isolectin B4) vivo. interaction between circ_0001103, miR-7240-5p, SLC9A assessed using dual-luciferase reporter assay, FISH, RNA immunoprecipitation qRT-PCR western blot. Finally, immunofluorescence, paraffin section flatmounts observe changes MMT, CNV after intervention intravitreal injection on day 7 induction mice. results revealed that 58 significantly altered RPE-choroid-sclera complexes (p < 0.05, fold change > 2.0). Additionally, increased Circ_0001103 sponge miR-7240-5p targeting modulate vitro. Inhibition suppress leakage. adsorption regulates SLC9A1-mediated fibrosis. leakage inhibiting
Язык: Английский
Процитировано
0
Journal of Translational Medicine, Год журнала: 2025, Номер 23(1)
Опубликована: Фев. 27, 2025
Clear cell renal carcinoma (ccRCC) is a prevalent urogenital malignancy characterized by heterogeneous patterns. Stemness pivotal factor in tumor progression, recurrence, and metastasis. Nevertheless, the impact of stemness-related long non-coding RNAs (SRlncRNAs) on prognosis ccRCC remains elusive. In this study, we aimed to delve into SRlncRNAs develop signature for risk stratification prediction. Gene-expression clinical data were downloaded from The Cancer Genome Atlas (TCGA) Gene Expression Omnibus (GEO) databases. We calculated RNA stemness scores (RNAss) samples evaluate their stemness. mRNAs (SRmRNAs) identified through weighted correlation network analysis (WGCNA), which employed sophisticated statistical methodologies identify interconnected modules related genes. Enrichment was performed explore potential functions SRmRNAs. Multiple machine learning algorithms construct prognostic signature. Samples TCGA-KIRC GSE29609 cohorts designated as training validation cohorts, respectively. Based scores, stratified low- high-risk groups. Prognosis analysis, immune infiltration assessment, drug sensitivity prediction, mutation landscape, gene set enrichment (GSEA) conducted investigate distinct characteristics Additionally, web-based calculator developed facilitate application. effects further corroborated utilization single-cell RNA-seq (scRNA-seq), well vitro vivo experiments. SRmRNAs based RNAss WGCNA. least absolute shrinkage selection operator (LASSO) combination with multivariate Cox regression selected optimal approach. Six used groups exhibited terms prognosis, GSEA pathways, profiles, sensitivity, status. A nomogram application model. ScRNA-seq RT-qPCR demonstrated differential expression between tumors normal tissues. experiments that downregulation EMX2OS LINC00944 affected proliferation, migration, invasion, apoptosis, metastasis cells. uncovered crucial associations ccRCC. By leveraging these findings, novel SRlncRNA-related user-friendly web calculator. This holds great facilitating guiding tailored treatment strategies patients. Both confirmed role progression
Язык: Английский
Процитировано
0
Journal of Translational Medicine, Год журнала: 2025, Номер 23(1)
Опубликована: Фев. 27, 2025
Photon radiation has been shown to stimulate the secretion of radioresistant factors from tumor cells, ultimately promoting angiogenesis and metastasis. On other hand, heavy-ion radiotherapy demonstrated control metastasis levels. The molecular mechanisms responsible for different angiogenic responses photon irradiation are not fully understood. This study aims explore irradiation-responsive genes related reveal regulatory effect. In order clarify potential after X-ray or carbon ion (C-ion) irradiation, we performed RNA-sequencing (RNA-seq), as well bioinformatics, public database analysis, Western blotting, immunohistochemistry, immunofluorescence. this study, identified long intergenic noncoding RNA PRDM10 divergent transcript (PRDM10-DT), which was responsive X-rays but ions. Mechanistically, PRDM10-DT triggers by upregulating TGF-β1/VEGF signaling pathway through its competitive binding miR-663a. Additionally, transcription factor SP1 facilitated promoter region. It's notable that DNA-binding activity enhanced reactive oxygen species (ROS). knockdown either effectively inhibited NSCLC These results illustrate proangiogenic function PRDM10-DT/miR-663a/TGF-β1 axis role ROS in upstream response radiation, with differential production mediating levels C-ion irradiation. Our findings suggest a nucleic acid biomarker targeting gene could be therapeutic strategy counteract radiotherapy.
Язык: Английский
Процитировано
0
Journal of Translational Medicine, Год журнала: 2025, Номер 23(1)
Опубликована: Март 6, 2025
Glioblastoma (GBM) patients frequently develop resistance to temozolomide (TMZ), the standard chemotherapy. While targeting cancer metabolism shows promise, relationship between metabolic perturbation and drug remains poorly understood. We performed high-throughput CRISPR interference screens in GBM cells identify genes modulating TMZ sensitivity. Findings were validated using multiple cell lines, patient-derived glioma stem cells, clinical data. Molecular mechanisms investigated through transcriptome analysis, profiling, functional assays. identified phosphoglycerate kinase 1 (PGK1) as a key determinant of Paradoxically, while PGK1 inhibition suppressed tumor growth, it enhanced by inducing stress. This activated AMPK HIF-1α pathways, leading DNA damage repair 53BP1. expression levels correlated with sensitivity across models patient samples. Our study reveals an unexpected link stress chemoresistance, demonstrating how adaptation can promote therapeutic resistance. These findings caution against single-agent suggest potential biomarker for response GBM.
Язык: Английский
Процитировано
0