Ask about this productRelated genes to: TBC1D10C antibody
- Gene:
- TBC1D10C NIH gene
- Name:
- TBC1 domain family member 10C
- Previous symbol:
- -
- Synonyms:
- FLJ00332, Carabin, EPI64C
- Chromosome:
- 11q13.2
- Locus Type:
- gene with protein product
- Date approved:
- 2005-03-10
- Date modifiied:
- 2016-10-05
Related products to: TBC1D10C antibody
Related articles to: TBC1D10C antibody
- INTRODUCTION: While intratumor heterogeneity (ITH) is recognized as a fundamental driver of treatment resistance and disease progression in triple-negative breast cancer (TNBC), existing prognostic models often fail to quantify ITH as a biomarker robustly. METHODS: This study obtained a training set from the METABRIC, while validation sets were sourced from the GEO database. ITH scores were calculated using the DEPTH2 algorithm, a computational method to infer heterogeneity from bulk transcriptomic data. Patients were stratified into distinct high-ITH and low-ITH groups based on these scores. Ten machine learning algorithms were integrated to generate 101 modeling approaches in the training set. The StepCox[backward] + GBM model, incorporating seven ITH-related signature (IRS) genes (IRF8, MAGEA4, IL18R1, IL7R, TBC1D10C, TEX261, and CD6), was selected as the optimal prognostic model. Then, we validated the cellular distribution and intercellular communication networks of core genes by single-cell sequencing data. Finally, quantitative real-time PCR (qRT-PCR) was performed on matched TNBC tumor and adjacent normal tissues to experimentally validate the differential expression of the IRS genes. RESULTS: The IRS model demonstrated robust prediction of patient overall survival (OS) and disease-free survival (DFS) in three independent cohorts. Patients in the high IRS score group showed worse prognosis, elevated Tumor Immune Dysfunction and Exclusion (TIDE) scores, lower Microsatellite Instability (MSI) scores, reduced expression of immune checkpoints, lower immune cell infiltration. And high IRS score was associated with poorer immunotherapy response in the GSE194040, GSE173839, GSE124821, and IMvigor210. The high and low-IRS score groups also exhibited differences in related functions and pathways. The high-risk group was significantly enriched in metabolic pathways, particularly N-Glycan biosynthesis and O-Glycan biosynthesis. Conversely, the low-risk group was predominantly associated with robust immune-related pathways, including adaptive immune response and immune response-regulating cell surface receptor signaling pathways. The IRS core genes were specifically distributed in CD8 + T cells and macrophages, and the interaction networks between CD8 + T cells and macrophages in the GALECTIN and CD45 signaling pathways were elucidated. Drug sensitivity analysis showed that the high-risk group was more sensitive to chemotherapeutic agents, especially to poly ADP-ribose polymerase (PARP)inhibitors. qRT-PCR validation confirmed the differential expression of seven critical genes between TNBC and adjacent normal tissues. CONCLUSION: Our study established an IRS model integrating machine learning and single-cell RNA sequencing. This model improves the accuracy of prognosis prediction for TNBC patients and effectively distinguishes risk subgroups with different immune microenvironment characteristics and treatment responses, providing preliminary data for precision medicine for TNBC. - Source: PubMed
Publication date: 2026/04/25
Li TingLian BinLiu YaobangGuo LiLi Jinping - Childhood obesity is a growing global health crisis associated with an increased risk of metabolic and cardiovascular diseases in adulthood. While accumulating evidence implicates immune dysregulation in obesity pathogenesis, the specific transcriptional alterations of immune cells, particularly NK cells and T cells in the context of childhood obesity, and their potential as non-invasive diagnostic biomarkers, remain largely unexplored. Here, we investigated the transcriptional alterations of NK cells and T cells in childhood obesity and evaluated their potential as non-invasive diagnostic biomarkers. To this end, we integrated bulk RNA-seq datasets (GSE205668 and GSE87493), adipose single-cell RNA-seq data (GSE159960), and blood qPCR validation to identify NK- and T-cell-related diagnostic biomarkers for childhood obesity. Differential expression analysis and WGCNA were applied to the bulk datasets to derive obesity-associated candidates, and single-cell RNA-seq was used to define immune-cell composition, infer NK-cell pseudotemporal dynamics, and quantify cell-cell communication. Genes shared between the bulk and single-cell analyses were prioritized using an ensemble machine-learning workflow comprising 110 model configurations and five feature-selection methods. TBC1D10C expression was validated by qPCR in an independent cohort of 29 children. Transcriptome-based analyses indicated reduced relative representation of NK cells and T cells in childhood obesity, with altered transcriptional programs and inferred impairment of NK-CD4 + T-cell communication. A 13-gene NK- and T-cell-based diagnostic signature was derived, and TBC1D10C was consistently prioritized by all feature-selection methods. The signature showed good discrimination between childhood obesity and controls across datasets (AUC 0.753-0.808), and comparable performance was observed for TBC1D10C alone. Enrichment analyses associated higher TBC1D10C expression with immune pathways, including Th1/Th2 differentiation, IL-17 signaling, and NK cell-mediated cytotoxicity. qPCR confirmed significant upregulation of TBC1D10C in peripheral blood from children with obesity. Across independent cohorts and platforms, TBC1D10C was identified as a reproducible NK- and T-cell-associated biomarker for childhood obesity, and immune dysregulation relevant to obesity pathophysiology may be reflected by its expression. Therefore, we propose TBC1D10C as a promising diagnostic biomarker and highlight its potential role in the immunopathology of childhood obesity. - Source: PubMed
Publication date: 2026/04/15
Huang HouyanHuang YangZhang YupingJiang YeShi PeiWang YingyingLiu SujuanXu PingWang JuanjuanZhou Taocheng - Abdominal aortic aneurysm (AAA) and major depressive disorder (MDD) are prevalent conditions with substantial global health burdens. Growing clinical evidence indicates a close relationship between them, implicating shared pathogenic mechanisms of immune dysregulation and inflammation. Deciphering this molecular interplay is critical, as it may reveal unified therapeutic strategies for these distinct disorders. This study aims to identify such shared molecular pathways, elucidate their co-pathogenesis, and discover novel therapeutic targets with dual relevance. - Source: PubMed
Publication date: 2026/02/13
Dong ChenXie JianhuaShen RuiPan ChengliangDong QingZhang JiangmeiYu KunwuZeng Qiutang - Recent clinical studies have reported that myo-inositol is consistently elevated in plasma of patients with heart failure (HF), yet its role in cardiac dysfunction remains poorly understood. Myo-inositol is specifically transported into cells by the sodium-myo-inositol co-transporter-1 (SMIT1), a member of the sodium-glucose co-transporter (SGLT) family expressed in the heart. While myo-inositol is essential for phosphoinositide signalling, osmoregulation, and metabolic homeostasis, dysregulation of SMIT1-mediated myo-inositol transport may contribute to key pathological mechanisms in HF. This study aims to elucidate the role of SMIT1 in the failing heart, especially during left ventricular remodelling that precedes it. - Source: PubMed
Marino AliceCumps JulienGuilbert LauraGeiser AngélineBaufays ClaireGinion AudreyFerté LauraBattault SylvainDe Matos FionaAmbroise JeromeZuurbier Coert JLezoualc'h FrankPestiaux CamillePyka GrzegorzKerckhofs GreetRoderick H LlewelynBertrand LucHorman SandrineBeauloye Christophe - Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancer, often diagnosed at advanced stages due to a lack of reliable early biomarkers. Recent studies suggest that the traditional Chinese medicine (TCM) body constitution, particularly the Yang-Deficiency Constitution (YDC), may influence tumour development by altering the immune microenvironment. However, the mechanistic connection between YDC and ccRCC prognosis remains largely unexplored. - Source: PubMed
Publication date: 2025/11/20
Kho Boon SengZhou ZongyuanLiu RuiSui YihangZhang YingnanYao JiaqiLu HuanhuanZhou GuoweiZhang BoWang Yinyin