IGFBP7+ subpopulation and IGFBP7 risk score in astrocytoma: insights from scRNA-Seq and bulk RNA-Seq DOI Creative Commons
Liang Zhao, Wenwen Shao,

Zhikai Xiahou

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Sept. 30, 2024

Background Glioma is the predominant malignant brain tumor that lacks effective treatment options due to its shielding by blood-brain barrier (BBB). Astrocytes play a role in development of glioma, yet diverse cellular composition astrocytoma has not been thoroughly researched. Methods We examined internal diversity seven distinct subgroups through single-cell RNA sequencing (scRNA-seq), pinpointed crucial using CytoTRACE, monocle2 pseudotime analysis, and slingshot employed various techniques identify critical subgroups, delved into communication analysis. Then, we combined clinical information GBM patients used bulk (bulk RNA-seq) analyze prognostic impact relevant molecules on patients, performed vitro experiments for validation. Results The analysis current study revealed C0 IGFBP7+ cells were noteworthy subpopulation astrocytoma, influencing differentiation progression astrocytoma. A predictive model was developed categorize high- low-scoring groups based IGFBP7 Risk Score (IGRS), with survival revealing poorer prognosis high-IGRS group. Analysis immune cell infiltration, identification genes differential expression, enrichment analyses, assessment copy number variations, evaluation drug susceptibility conducted, all which highlighted their significant influence Conclusion This research enhances comprehension delves factors impacting offers fresh perspectives treating glioma.

Language: Английский

Discovering the Potential Role of the C2 DUSP2+ MCs Subgroup in Lung Adenocarcinoma DOI
Shengyi Zhang,

Xinhan Li,

Zhikai Xiahou

et al.

Translational Oncology, Journal Year: 2025, Volume and Issue: 54, P. 102295 - 102295

Published: Feb. 26, 2025

Language: Английский

Citations

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Prognostic value of disulfidptosis-associated genes in gastric cancer: a comprehensive analysis DOI Creative Commons
Jin Tang, Jing Yang, Long-Kuan Yin

et al.

Frontiers in Oncology, Journal Year: 2025, Volume and Issue: 15

Published: March 4, 2025

Objective Disulfidptosis is a newly identified type of nonapoptotic programmed cell death related to mechanisms such as ferroptosis, cuproptosis, pyroptosis, and necrotic apoptosis. This study explores the role disulfidptosis-related long non-coding RNAs (DRLs) in gastric cancer their potential prognostic biomarkers. Method We developed model using DRL scores classify patients based on disulfidptosis activity. evaluated these for correlations with drug sensitivity, tumor microenvironment (TME) features, mutational burden (TMB), prognosis. Potential signaling pathways were screened, identifying FRMD6-AS promising therapeutic target. expression was further validated real-time fluorescent quantitative PCR (qRT-PCR). Results The DRL-based model, established through univariate multivariate Cox regression LASSO analyses, outperformed traditional models predicting divided samples into high-risk low-risk groups scores, finding that group had significantly higher survival rate (P < 0.05). A high-precision prediction incorporating age, sex, grade, stage showed strong predictive value consistency actual outcomes. High correlated TME lower TMB. Key axes AC129507.1/(FLNA, TLN1)/FOCAL ADHESION AC107021.2/MYH10/(TIGHT JUNCTION, VIRAL MYOCARDITIS, REGULATION OF ACTIN CYTOSKELETON). Potentially effective drugs, including BMS-754807, dabrafenib, JQ1, identified. emerged target treatment. Conclusions novel DRLs, two key JQ1 may be an treatment, could

Language: Английский

Citations

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Exposing the cellular situation: findings from single cell RNA sequencing in breast cancer DOI Creative Commons
Gaofeng Ni,

Xinhan Li,

Wenyang Nie

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16

Published: March 6, 2025

Breast Cancer (BC) ranks among the top three most prevalent cancers globally and stands as principal contributor to cancer-related fatalities women. In spite of substantial occurrence rate BC, early stage this disease is generally regarded curable. However, intra-tumor heterogeneity presents a formidable obstacle success effective treatment. research, single cell RNA sequencing was utilized dissect tumor microenvironment within BC. Slingshot, CytoTRACE Monocle 2 were applied illustrate differentiation process each subpopulation in pseudotime sequence. To comprehensively comprehend cells (TCs) an analysis upstream transcription factors carried out via pySCENIC, while downstream pathway enrichment conducted through KEGG, GO GSEA. The prognosis model established based on bulk data obtained from TCGA GEO databases. Knock-down experiments also implemented explore function factor CEBPD TCs. Our in-depth identified eight types. Notably, TCs predominantly found epithelial cells. classification further uncovered five unique subpopulations, with one characterized by high UGDH expression. This shown possess distinct metabolic features metabolism-related investigations. intricate communication modalities different types effectively demonstrated means CellChat. Additionally, crucial factor, CEBPD, identified, which pronounced propensity towards tumors harbored potential tumor-advancing characteristics. Its role promoting cancer subsequently verified vitro knock-down experiments. Moreover, prognostic developed, risk score genes incorporated model. Through comparing prognoses UTRS levels, it determined that group had less favorable prognosis. These outcomes contributed elucidation complex interrelationships BC microenvironment. By specifically targeting certain subpopulations TCs, novel treatment strategies could potentially be devised. study shed light direction future research should take, furnishing valuable information can enhance regimens.

Language: Английский

Citations

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Single-cell insights into HNSCC tumor heterogeneity and programmed cell death pathways DOI

Yuanhao Chai,

Jianlin Zhang, Wenwen Shao

et al.

Translational Oncology, Journal Year: 2025, Volume and Issue: 54, P. 102341 - 102341

Published: March 10, 2025

Language: Английский

Citations

0
Knockdown of TGFB2 Attenuates Ischemic Heart Failure by Inhibiting Apoptosis DOI

Zheng Yang,

Cong Ye, Haitao Li

et al.

Cardiovascular Toxicology, Journal Year: 2025, Volume and Issue: unknown

Published: March 13, 2025

Language: Английский

Citations

0
The Potential Role of C4 MYH11+ Fibroblasts and the MDK-SDC2 Ligand-Receptor Pair in Lung Adenocarcinoma: Implications for Prognosis and Therapeutic Strategies DOI

H. Jia,

Yanjie Bian, Jie Yuan

et al.

Translational Oncology, Journal Year: 2025, Volume and Issue: 55, P. 102364 - 102364

Published: March 22, 2025

Language: Английский

Citations

0
Single-cell sequencing reveals PHLDA1-positive smooth muscle cells promote local invasion in head and neck squamous cell carcinoma DOI
Bing Guo, Xutao Wen,

Shun Yu

et al.

Translational Oncology, Journal Year: 2025, Volume and Issue: 55, P. 102301 - 102301

Published: March 25, 2025

Language: Английский

Citations

0
Investigation of the role of GEM in systemic lupus erythematosus through multi-omics joint analysis DOI Creative Commons
Ruofei Chen, Xiao Zhang,

Yifang Shang

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16

Published: April 9, 2025

Systemic lupus erythematosus (SLE) is a persistent autoimmune disorder marked by dysregulation of the immune system, resulting in extensive tissue inflammation and subsequent damage. Fibroblasts are essential contributors to pathogenesis SLE, particularly driving progression fibrosis inflammation. Recent research has proposed that GEM gene may regulate fibroblast activity SLE. However, precise molecular mechanisms through which modulates functions context SLE yet be fully elucidated. Gaining insight into these crucial for uncovering potential therapeutic targets aimed at addressing associated with Single-cell RNA sequencing was integrated cell-based assays, such as quantitative reverse transcription PCR (qRT-PCR) functional cellular experiments, investigate underlying mechanisms. The regulatory fibroblasts were analyzed cell assays. Differential expression subpopulations identified single-cell sequencing, emerging key implicated alterations. Trajectory analysis indicated correlated proliferation migration. Subsequent experiments confirmed regulates viability influences disease modulation proliferation, migration, apoptosis. highly differentially expressed within its altered impacts apoptosis, potentially contributing

Language: Английский

Citations

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Single-cell RNA sequencing in diffuse large B-cell lymphoma: tumor heterogeneity, microenvironment, resistance, and prognostic markers DOI Creative Commons
Linwei Li,

Qiwei Li,

Rui Niu

et al.

Frontiers in Oncology, Journal Year: 2025, Volume and Issue: 15

Published: April 9, 2025

Diffuse large B-cell lymphoma (DLBCL) is a highly heterogeneous malignancy with challenges in treatment resistance and relapse. Single-cell RNA sequencing (scRNA-seq) has provided important insights into tumor heterogeneity, microenvironment interactions, mechanisms, prognostic biomarkers. This review summarizes key findings from scRNA-seq studies, which have deepened our understanding of DLBCL contributed to the development precision therapeutic strategies. Integrating spatial transcriptomics single-cell multi-omics may further elucidate disease mechanisms identify novel targets, supporting advancement medicine DLBCL.

Language: Английский

Citations

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Decoding multiple myeloma: single-cell insights into tumor heterogeneity, immune dynamics, and disease progression DOI Creative Commons

Zhenzhen Zhao,

Zhijie Zhao, Zhiheng Lin

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16

Published: May 8, 2025

Background Multiple myeloma (MM) is a biologically heterogeneous malignancy of clonal plasma cells, often progressing from MGUS or smoldering MM. It causes anemia, bone lesions, and immune dysfunction due to abnormal cell expansion in the marrow. Neuroinflammatory neurotrophic factors may influence MM progression by affecting cells marrow niche. Growing evidence points role for neuroimmune regulation tumor immunity. Despite therapeutic progress, disease heterogeneity resistance highlight need new strategies targeting microenvironment axis. Methods This investigation exploited single-cell RNA sequencing (scRNA-seq) analyze high-risk multiple (SMMh) samples, identifying 11 distinct types. We examined their transcriptional signatures, stemness, proliferative properties, metabolic pathways, with particular attention interactions microenvironment. Using trajectory inference tools such as CytoTRACE, Monocle2, Slingshot, we traced differentiation paths subpopulations identified key signaling pathways that responses progression. Results The analysis four C0 IGLC3+ representing least differentiated most subset. These played critical contribute evasion mechanisms. Additionally, receptor-ligand within were identified, which be influenced neuroinflammatory factors. findings suggest nervous system modulation significantly affect biology, highlighting potential targets could overcome conventional therapies. Conclusion provided insights into cellular diversity trajectories MM, offering deeper understanding complex drive resistance. By incorporating neuroinflammation modulation, our study suggested novel axis oncology, ultimately contributing development more effective, personalized treatment approaches

Language: Английский

Citations

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