Increased Immune Infiltration and Improved Prognosis of Head and Neck Squamous Cell Carcinoma Associated with Reduced Ancient Ubiquitous Protein 1 Gene Expression DOI

Yi Wang,

Qian Wu, Wei Xiao

и другие.

Molecular Biotechnology, Год журнала: 2024, Номер unknown

Опубликована: Июнь 12, 2024

Язык: Английский

Integrating single-cell analysis and machine learning to create glycosylation-based gene signature for prognostic prediction of uveal melanoma DOI Creative Commons
Jian-Lan Liu, Pengpeng Zhang, Fang Yang

и другие.

Frontiers in Endocrinology, Год журнала: 2023, Номер 14

Опубликована: Март 23, 2023

Increasing evidence suggests a correlation between glycosylation and the onset of cancer. However, clinical relevance glycosylation-related genes (GRGs) in uveal melanoma (UM) is yet to be fully understood. This study aimed shed light on impact GRGs UM prognosis.To identify most influential UM, we employed AUCell WGCNA algorithms. The signature was established by integrating bulk RNA-seq scRNA-seq data. patients were separated into two groups based their risk scores, GCNS_low GCNS_high groups, differences clinicopathological correlation, functional enrichment, immune response, mutational burden, immunotherapy examined. role critical gene AUP1 validated through vitro vivo experiments.The comprised AUP1, HNMT, PARP8, ARC, ALG5, AKAP13, ISG20. GCNS significant prognostic factor for high correlated with poorer outcomes. Patients displayed heightened immune-related characteristics, such as cell infiltration scores. In experiments showed that knockdown led drastic reduction viability, proliferation, invasion capability cells.Our provides an independent predictor patient survival represents starting point further investigation UM. It offers novel perspective diagnosis treatment

Язык: Английский

Процитировано

45

Nanomedicines Targeting Metabolic Pathways in the Tumor Microenvironment: Future Perspectives and the Role of AI DOI Creative Commons

Shuai Fan,

Wenyu Wang,

Wieqi Che

и другие.

Metabolites, Год журнала: 2025, Номер 15(3), С. 201 - 201

Опубликована: Март 13, 2025

Background: Tumor cells engage in continuous self-replication by utilizing a large number of resources and capabilities, typically within an aberrant metabolic regulatory network to meet their own demands. This dysregulation leads the formation tumor microenvironment (TME) most solid tumors. Nanomedicines, due unique physicochemical properties, can achieve passive targeting certain tumors through enhanced permeability retention (EPR) effect, or active deliberate design optimization, resulting accumulation TME. The use nanomedicines target critical pathways holds significant promise. However, requires careful selection relevant drugs materials, taking into account multiple factors. traditional trial-and-error process is relatively inefficient. Artificial intelligence (AI) integrate big data evaluate delivery efficiency nanomedicines, thereby assisting nanodrugs. Methods: We have conducted detailed review key papers from databases, such as ScienceDirect, Scopus, Wiley, Web Science, PubMed, focusing on reprogramming, mechanisms action development metabolism, application AI empowering nanomedicines. integrated content present current status research metabolism potential future directions this field. Results: Nanomedicines possess excellent TME which be utilized disrupt cells, including glycolysis, lipid amino acid nucleotide metabolism. disruption selective killing disturbance Extensive has demonstrated that AI-driven methodologies revolutionized nanomedicine development, while concurrently enabling precise identification molecular regulators involved oncogenic reprogramming pathways, catalyzing transformative innovations targeted cancer therapeutics. Conclusions: great Additionally, will accelerate discovery metabolism-related targets, empower optimization help minimize toxicity, providing new paradigm for development.

Язык: Английский

Процитировано

2

AUP1 regulates lipid metabolism and induces lipid accumulation to accelerate the progression of renal clear cell carcinoma DOI
Chen Chen, Wei Zhao,

Xingxing Lu

и другие.

Cancer Science, Год журнала: 2022, Номер 113(8), С. 2600 - 2615

Опубликована: Май 28, 2022

Lipid metabolic reprogramming is a prominent feature of clear cell renal carcinoma (ccRCC). accumulation affects cellular energy homeostasis, biofilm synthesis, lipid signal transduction, and phenotypic transformation in ccRCC. Herein, prognostic-related model was constructed, the prognostic utility AUP1, droplet-regulating very low-density lipoprotein assembly factor, ccRCC determined through multiparameter analysis. AUP1 expression significantly higher clinical samples than normal tissues closely associated with stage. The inhibition impaired proliferation, migration, invasion ACHN A498 cells vitro vivo. RNA-seq analysis revealed that can reduce contents intracellular triglyceride cholesterol regulate growth by cycle arrest, promoting apoptosis reversing epithelial-mesenchymal transition. regulated synthesis esters fatty acids (FAs) targeting sterol O-acyltransferase 1 partially promoted progression also induced de novo FAs (inhibiting protein kinase AMP-activated catalytic subunit alpha 2), inhibiting rate-limiting enzyme FA β oxidation (carnitine palmitoyltransferase 1A), regulating key lipolysis (monoglyceride lipase, MGLL), transporter StAR-related transfer domain containing 5 (STARD5). However, it did not affect pathway. differential significance MGLL STARD5 should be further studied. may serve as new effective potential target marker for

Язык: Английский

Процитировано

31

Integrated RNA sequencing analysis and machine learning identifies a metabolism-related prognostic signature in clear cell renal cell carcinoma DOI Creative Commons
Yunxun Liu, Zhiwei Yan, Cheng Liu

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 11, 2025

The connection between metabolic reprogramming and tumor progression has been demonstrated in an increasing number of researches. However, further research is required to identify how affects interpatient heterogeneity prognosis clear cell renal carcinoma (ccRCC). In this work, single-cell RNA sequencing (scRNA-seq) based deconvolution was utilized create a malignant hierarchy with differences investigate the relationship biomarkers prognosis. Simultaneously, we created machine learning-based approach for creating metabolism-related prognostic signature (MRPS). Gamma-glutamyltransferase 6 (GGT6) explored deep biological insights through vitro experiments. Compared 51 published signatures conventional clinical features, MRPS showed substantially higher accuracy. Meanwhile, high MRPS-risk samples immunosuppressive phenotype more infiltrations regulatory T (Treg) tumour-associated macrophage (TAM). Following administration immune checkpoint inhibitors (ICIs), consistent strong performance independent risk factor overall survival. GGT6, essential indicator component MRPS, proven support proliferation invasion ccRCC. potential be highly effective tool improving results patients

Язык: Английский

Процитировано

1

Cellular communication through extracellular vesicles and lipid droplets DOI Creative Commons
Irumi Amarasinghe, William D. Phillips, Andrew F. Hill

и другие.

Journal of Extracellular Biology, Год журнала: 2023, Номер 2(3)

Опубликована: Март 1, 2023

Abstract Cellular communication is essential for effective coordination of biological processes. One major form intercellular occurs via the release extracellular vesicles (EVs). These mediate through transfer their cargo and are actively explored role in various diseases potential therapeutic diagnostic applications. Conversely, lipid droplets (LDs) that within cells. Lipid play roles evidence ability to between cells emerging. To date, there has been little interdisciplinary research looking at similarities interactions these two classes small vesicles. This review will compare commonalities differences EVs LDs including biogenesis secretion, isolation characterisation methodologies, composition, general heterogeneity discuss challenges opportunities both fields.

Язык: Английский

Процитировано

14

Metabolic classifications of renal cell carcinoma reveal intrinsic connections with clinical and immune characteristics DOI Creative Commons
Le Li,

Zheng Chao,

Un Waikeong

и другие.

Journal of Translational Medicine, Год журнала: 2023, Номер 21(1)

Опубликована: Фев. 24, 2023

Abstract Background Kidney cancer undergoes a dramatic metabolic shift and has demonstrated responsiveness to immunotherapeutic intervention. However, classification the associations between alterations immune infiltration in Renal cell carcinoma still remain elucidative. Methods Unsupervised consensus clustering was conducted on TCGA cohorts for classification. GESA, mRNAsi, prognosis, clinical features, mutation load, differentially expressed gene differences among different clusters were compared. The prognosis model nomograms constructed based signatures verified using external ICGC datasets. Immunohistochemical results from Human Protein Atlas database Tongji hospital used validate expression levels normal tissues tumor samples. CCK8, apoptosis analysis, qPCR, subcutaneously implanted murine models flowcytometry analysis applied investigate roles of ACAA2 progression anti-tumor immunity. Results classified into 3 subclusters subcluster with low profiles displayed poorest highest invasiveness AJCC grade, enhanced but suppressive immunophenotypes. ACAA2, ACAT1, ASRGL1, AKR1B10, ABCC2, ANGPTL4 identified construct 6 gene-signature both internally externally cohorts. as suppressor associated higher elevated PD-1 CD8 + T cells. Conclusions Our research proposed new method RCC revealed intrinsic phenotypes profiles. might serve key factors bridging metabolism immunity warrant further in-depth investigations.

Язык: Английский

Процитировано

10

The Radiogenomic Landscape of Clear Cell Renal Cell Carcinoma: Insights into Lipid Metabolism through Evaluation of ADFP Expression DOI Creative Commons
Federico Greco, Andrea Panunzio,

Caterina Bernetti

и другие.

Diagnostics, Год журнала: 2024, Номер 14(15), С. 1667 - 1667

Опубликована: Авг. 1, 2024

This study aims to explore the relationship between radiological imaging and genomic characteristics in clear cell renal carcinoma (ccRCC), focusing on expression of adipose differentiation-related protein (ADFP) detected through computed tomography (CT). The goal is establish a radiogenomic lipid profile understand its association with tumor characteristics. Data from Cancer Genome Atlas (TCGA) Imaging Archive (TCIA) were utilized correlate features ccRCC. CT scans assessed various features, including size, composition, margin, necrosis, growth pattern, alongside measurements tumoral Hounsfield units (HU) abdominal tissue compartments. Statistical analyses compared demographics, clinical-pathological quantification, HU groups. Among 197 patients, 22.8% exhibited ADFP significantly associated hydronephrosis. Low-grade ccRCC patients expressing had higher quantities visceral subcutaneous lower values their high-grade counterparts. Similar trends observed low-grade without expression. correlates specific such as hydronephrosis altered distribution. display distinct metabolic profile, emphasizing expression, metabolism. These findings suggest potential for personalized diagnostic therapeutic strategies targeting

Язык: Английский

Процитировано

4

Research progress on the correlation between obesity and the occurrence and development of kidney cancer: a narrative review DOI Open Access
Le Kang, Xu Chen, Peng Qi

и другие.

Translational Cancer Research, Год журнала: 2024, Номер 13(10), С. 5678 - 5690

Опубликована: Окт. 1, 2024

Obesity is an important risk factor for the onset of kidney cancer, and mechanism obesity leading to occurrence development cancer has been further studied confirmed in past decade. The emergence "obesity paradox" phenomenon made correlation between prognosis survival controversial. This review summarizes association based on newly discovered evidence 10 years, order provide reference follow-up research.

Язык: Английский

Процитировано

3

AUP1 and UBE2G2 complex targets STING signaling and regulates virus-induced innate immunity DOI Creative Commons
Xintao Wang, Xi Zhu,

Zhong-Hao Lian

и другие.

mBio, Год журнала: 2025, Номер unknown

Опубликована: Апрель 16, 2025

ABSTRACT Stimulator of interferon genes (STING) is an endoplasmic reticulum (ER) signaling adaptor that essential for the host immune response triggered by DNA pathogens. Precise regulation STING crucial maintaining a balanced and preventing harmful autoinflammation. Activation requires its translocation from ER to Golgi apparatus. However, mechanisms maintain in resting state remain largely unclear. Here, we find deficiency ancient ubiquitous protein 1 (AUP1) causes spontaneous activation enhances expression type I interferons (IFNs) under conditions. Furthermore, UBE2G2 , cofactor AUP1, also promotes abnormal STING. AUP1 significantly induced virus, exhibits increased resistance virus infection vitro vivo . Mechanistically, may form complex with interact STING, exit membrane. Notably, RNA vesicular stomatitis (VSV) accumulation lipid droplets (LDs) proteins. Additionally, markedly inhibits replication VSV because reduces alters metabolism genes, such as carnitine palmitoyltransferase 1A ( CPT1A ), monoglyceride lipase MGLL sterol regulatory element-binding transcription factor SREBF1 ). This study uncovers roles pathway pathway, highlighting dual role regulating replication. IMPORTANCE The stimulator cascade plays coordinating innate immunity against pathogens autoimmunity. homeostasis. In this study, demonstrate act negative regulators targeting interacts retain (ER), thereby limiting state. addition, virus. Our findings provide new insights into confirm has

Язык: Английский

Процитировано

0

FGF8 promotes lipid droplet accumulation via the FGFR1/p-p38 axis in chondrocytes DOI Creative Commons
Minglei Huang, Haoran Chen,

Jieya Wei

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Апрель 16, 2025

ABSTRACT Chondrocytes store lipids in the form of lipid droplets (LDs) and maintain cartilage metabolic homeostasis by consuming or regenerating LDs. This modulation is largely mediated a series biochemical factors. Fibroblast growth factor 8 (FGF8) one most important factors involved proliferation, differentiation, migration chondrocytes, has attracted increasing attention physiology pathology cartilage. However, effect FGF8 on LD accumulation chondrocytes remains unclear. study aimed to elucidate role LDs explore underlying biomechanism involved. The results showed that promoted upregulating perilipin1 (Plin1) expression. activates cytoplasmic p-p38 signaling pathway via fibroblast receptor 1 (FGFR1) increase chondrocytes. Subsequent experiments with siRNAs specific inhibitors further confirmed importance FGFR1/p38 axis for exposed FGF8. These our understanding provide insights into

Язык: Английский

Процитировано

0