Single-Cell Sequencing Reveals the Role of NUSAP1 in Glioma and Its Potential for Precision Diagnostic and Prognostic Applications DOI Creative Commons

Meng-Yu Zhao,

Zhao-Wen Shen,

Wan-Yan Xu

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 17, 2024

Abstract Background: Personalized precision medicine (PPPM) is a rapidly advancing field with significant potential. Gliomas, known for their poor prognosis, rank among the most lethal brain tumors. Despite advancements, there remains critical need precise, individualized treatment strategies. Methods: We conducted comprehensive analysis of RNA-seq and microarray data from TCGA GEO databases, supplemented by single-cell RNA sequencing (scRNA-seq) glioma patients. By integrating foundational experiments, we investigated molecular variations cellular interactions within neural cell subpopulations during tumor progression. Results: Our revealed distinct gene expression patterns across subpopulations. Notably, differentiation trajectory identified NUSAP1 as key marker terminal subpopulation. We found that elevated correlated prompting further investigation its functional role through both animal studies. Conclusions: NUSAP1-based risk models hold potential predictive therapeutic tools personalized treatment. In-depth exploration NUSAP1's mechanisms in glioblastoma could enhance our understanding response to immunotherapy, suggesting targeting may offer benefits

Language: Английский

Unraveling the ecological landscape of mast cells in esophageal cancer through single-cell RNA sequencing DOI Creative Commons
Shengyi Zhang, Xinyi Zhang,

Zhikai Xiahou

et al.

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

Published: Oct. 4, 2024

Background Esophageal cancer (EC) is a major health issue, ranking seventh in incidence and sixth mortality worldwide. Despite advancements multidisciplinary treatment approaches, the 5-year survival rate for EC remains low at 21%. Challenges arise from late-stage diagnosis, high malignancy, poor prognosis. Understanding tumor microenvironment critical, as it includes various cellular extracellular components that influence behavior response. Mast cells (MCs), tissue-resident immune cells, play dual roles dynamics. High-throughput single-cell RNA sequencing offers powerful tool analyzing heterogeneity interactions, although its application limited. Methods In this study, we investigated of using established comprehensive profile. We also performed analysis upstream transcription factors downstream pathway enrichment to further comprehensively decipher MCs EC. Besides, knockdown experiments explore role epidermal growth factor receptor ( EGFR ) signaling MCs-tumor cell highlighting potential prognostic marker. Finally, constructed model EC, which provided valuable suggestions diagnosis prognosis Results Our identified 11 types, were particularly present pericarcinoma tissues. Further grouping 5,001 8 distinct subtypes, including SRSF7 -highly expressed MCs, showed strong preference tumor-promoting properties. Moreover, key validated by vitro experiments, demonstrating cancer-promoting effects. addition, an independent indicator, + risk score (SMRS), correlation between SMRS group Conclusion These findings illuminate complex interactions within suggest targeting specific via pathway, may novel therapeutic strategies. This study establishes map offering insights improved approaches.

Language: Английский

Citations

1
Pancancer Analysis of NSUN2 with a Focus on Prognostic and Immunological Roles in Endometrial Cancer DOI

Yuxin Zan,

Yan Ding

Reproductive Sciences, Journal Year: 2024, Volume and Issue: unknown

Published: June 20, 2024

Language: Английский

Citations

0
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

Citations

0
Multi-omics analyses were combined to construct ubiquitination-related features in colon adenocarcinoma and identify ASNS as a novel biomarker DOI Creative Commons
Zhaohui Wang, Wenbing Zhang,

Xin Yin

et al.

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

Published: Oct. 9, 2024

Background As one of the malignant tumors with highest incidence and fatality in world, colon adenocarcinoma (COAD) has a very complex pathogenic mechanism, which not yet been fully elucidated. Ubiquitin can regulate cell proliferation, cycle, apoptosis, DNA damage repair, other processes by changing activity substrate proteins or causing ubiquitin-proteasome degradation. These are key links pathogenesis COAD, ubiquitin plays an important role occurrence development COAD. Methods We integrated transcriptomics, single-cell clinical omics, TCGA GEO databases COAD patient data. Cox Lasso regression was employed to assess ubiquitination genes for generating ubiquitination-related features. The aim evaluate prognostic value these features their impact on immune microenvironment. At same time, expression level model further analyzed using Finally, function ASNS, gene this trait, were detected vitro . Results In our study, based identifiable changes marker genes, feature be used classify patients Kaplan-Meier survival analysis indicated that those elevated risk scores each cohort experienced inferior outcomes. There is good validation both training queue queue. results infiltration showed rate significantly increased high-risk group. After knockdown signature, migration capacity SW620 RKO lines colony formation dramatically reduced tests. Conclusion screened constructed features, as reliable indicators ASNS identified possible biomarker

Language: Английский

Citations

0
Single-Cell Sequencing Reveals the Role of NUSAP1 in Glioma and Its Potential for Precision Diagnostic and Prognostic Applications DOI Creative Commons

Meng-Yu Zhao,

Zhao-Wen Shen,

Wan-Yan Xu

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 17, 2024

Abstract Background: Personalized precision medicine (PPPM) is a rapidly advancing field with significant potential. Gliomas, known for their poor prognosis, rank among the most lethal brain tumors. Despite advancements, there remains critical need precise, individualized treatment strategies. Methods: We conducted comprehensive analysis of RNA-seq and microarray data from TCGA GEO databases, supplemented by single-cell RNA sequencing (scRNA-seq) glioma patients. By integrating foundational experiments, we investigated molecular variations cellular interactions within neural cell subpopulations during tumor progression. Results: Our revealed distinct gene expression patterns across subpopulations. Notably, differentiation trajectory identified NUSAP1 as key marker terminal subpopulation. We found that elevated correlated prompting further investigation its functional role through both animal studies. Conclusions: NUSAP1-based risk models hold potential predictive therapeutic tools personalized treatment. In-depth exploration NUSAP1's mechanisms in glioblastoma could enhance our understanding response to immunotherapy, suggesting targeting may offer benefits

Language: Английский

Citations

0