Comprehensive analysis of PPP4C’s impact on prognosis, immune microenvironment, and immunotherapy response in lung adenocarcinoma using single-cell sequencing and multi-omics DOI Creative Commons
Kaiyu Wang, Bo Peng,

Ran Xu

et al.

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

Published: July 4, 2024

Background Elevated PPP4C expression has been associated with poor prognostic implications for patients suffering from lung adenocarcinoma (LUAD). The extent to which affects immune cell infiltration in LUAD, as well the importance of genes clinical scenarios, still requires thorough investigation. Methods In our investigation, we leveraged both single-cell and comprehensive RNA sequencing data, sourced LUAD patients, analysis. This study also integrated datasets immune-related InnateDB into framework. Our expansive evaluation employed various analytical techniques; these included pinpointing differentially expressed genes, constructing WGCNA, implementing Cox proportional hazards models. We utilized methods investigate gene profiles within context clarify its potential value patients. Subsequent steps involved validating observed enhancement samples through a series experimental approaches. array comprised immunohistochemistry staining, Western blotting, quantitative PCR, collection cell-based assays aimed at evaluating influence on proliferative migratory activities cells. Results cancer, elevated levels were observed, correlating poorer patient prognoses. Validation increased specimens was achieved using immunohistochemical techniques. Experimental investigations have substantiated role facilitating cellular proliferation migration contexts. Furthermore, an association identified between cells tumors. A framework, incorporating developed recognized autonomous predictor survival individuals afflicted LUAD. tool demonstrated considerable efficacy forecasting their response immunotherapeutic interventions. Conclusion involvement is deeply intertwined tumor’s microenvironment. PPP4C’s over-expression negative outcomes, promoting tumor spread. framework based may effectively predict prognoses immunotherapy strategy. research sheds light mechanisms interaction proposes new strategy treatment.

Language: Английский

Evaluating the predictive value of angiogenesis-related genes for prognosis and immunotherapy response in prostate adenocarcinoma using machine learning and experimental approaches DOI Creative Commons
Yaxuan Wang,

JiaXing He,

QingYun Zhao

et al.

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

Published: May 16, 2024

Background Angiogenesis, the process of forming new blood vessels from pre-existing ones, plays a crucial role in development and advancement cancer. Although blocking angiogenesis has shown success treating different types solid tumors, its relevance prostate adenocarcinoma (PRAD) not been thoroughly investigated. Method This study utilized WGCNA method to identify angiogenesis-related genes assessed their diagnostic prognostic value patients with PRAD through cluster analysis. A model was constructed using multiple machine learning techniques, while developed employing LASSO algorithm, underscoring PRAD. Further analysis identified MAP7D3 as most significant gene among multivariate Cox regression various algorithms. The also investigated correlation between immune infiltration well drug sensitivity Molecular docking conducted assess binding affinity angiogenic drugs. Immunohistochemistry 60 tissue samples confirmed expression MAP7D3. Result Overall, 10 key demonstrated potential immune-related implications patients. is found be closely associated prognosis response immunotherapy. Through molecular studies, it revealed that exhibits high Furthermore, experimental data upregulation PRAD, correlating poorer prognosis. Conclusion Our important target

Language: Английский

Citations

24
Multi-omics analysis and experimental validation of the value of monocyte-associated features in prostate cancer prognosis and immunotherapy DOI Creative Commons
Yaxuan Wang,

Chao Li,

JiaXing He

et al.

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

Published: June 14, 2024

Background Monocytes play a critical role in tumor initiation and progression, with their impact on prostate adenocarcinoma (PRAD) not yet fully understood. This study aimed to identify key monocyte-related genes elucidate mechanisms PRAD. Method Utilizing the TCGA-PRAD dataset, immune cell infiltration levels were assessed using CIBERSORT, correlation patient prognosis was analyzed. The WGCNA method pinpointed 14 crucial genes. A diagnostic model focused monocytes developed combination of machine learning algorithms, while prognostic created LASSO algorithm, both which validated. Random forest gradient boosting singled out CCNA2 as most significant gene related monocytes, its function further investigated through enrichment analysis. Mendelian randomization analysis association HLA-DR high-expressing Molecular docking employed assess binding affinity targeted drugs for PRAD, experimental validation confirmed expression value Result Based identification by WGCNA, we PRAD multiple algorithms. Additionally, constructed demonstrated excellent predictive capabilities. Analysis random algorithms supported potential Gene revealed regulation cycle cellular senescence that expressing high may promote results suggested strong targeting Furthermore, immunohistochemistry experiments validated upregulation prognosis. Conclusion Our findings offer new insights into monocyte heterogeneity holds novel drug

Language: Английский

Citations

22
Experimentally validated oxidative stress -associated prognostic signatures describe the immune landscape and predict the drug response and prognosis of SKCM DOI Creative Commons

Dongyun Rong,

Yushen Su,

Dechao Jia

et al.

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

Published: April 10, 2024

Skin Cutaneous Melanoma (SKCM) incidence is continually increasing, with chemotherapy and immunotherapy being among the most common cancer treatment modalities. This study aims to identify novel biomarkers for response in SKCM explore their association oxidative stress.

Language: Английский

Citations

5
Sesquiterpene lactones and cancer: new insight into antitumor and anti-inflammatory effects of parthenolide-derived Dimethylaminomicheliolide and Micheliolide DOI Creative Commons
Jian Li, Xin Li, Hongwei Liu

et al.

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

Published: Feb. 20, 2025

The isolation and application of biological macromolecules (BMMs) have become central in applied science today, with these compounds serving as anticancer, antimicrobial, anti-inflammatory agents. Parthenolide (PTL), a naturally occurring sesquiterpene lactone derived from Tanacetum parthenium (feverfew), is among the most important BMMs. PTL has been extensively studied for its anticancer properties, making it promising candidate further research drug development. This review summarizes effects derivatives, focus on Micheliolide (MCL) Dimethylaminomicheliolide (DMAMCL). These compounds, PTL, developed to overcome PTL's instability acidic basic conditions low solubility. We also explore their potential targeted combination therapies, providing comprehensive overview therapeutic mechanisms highlighting significance future cancer treatment strategies.

Language: Английский

Citations

0
Circulating cell-free DNA methylation analysis of pancreatic cancer patients for early noninvasive diagnosis DOI Creative Commons

Wenzhe Hu,

Xudong Zhao, Nan Luo

et al.

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

Published: March 10, 2025

Background Aberrant hypermethylation of genomic DNA CpG islands (CGIs) is frequently observed in human pancreatic cancer (PAC). A plasma cell-free (cfDNA) methylation analysis method can be utilized for the early and noninvasive detection PAC. This study also aimed to differentiate PAC from other types. Methods We employed methylated tandem amplification sequencing (MCTA-Seq) method, which targets approximately one-third CGIs, on samples patients (n = 50) healthy controls 52), as well cancerous adjacent noncancerous tissue 66). The method’s efficacy detecting distinguishing it hepatocellular carcinoma (HCC), colorectal (CRC), gastric (GC) was evaluated. Additionally, a score typing system established. Results identified total 120 cfDNA biomarkers, including IRX4 , KCNS2 RIMS4 blood. panel comprising these biomarkers achieved sensitivity 97% 86% discovery validation cohorts, respectively, with specificity 100% both cohorts. scoring systems were clinically applicable. Furthermore, we hundreds differentially between HCC, CRC, GC. Certain combinations markers used highly specific (approximately 100%) algorithm GC Conclusions Our PAC, offering novel approach early, diagnosis

Language: Английский

Citations

0
Multi-omic validation of the cuproptosis-sphingolipid metabolism network: modulating the immune landscape in osteosarcoma DOI Creative Commons

Qingbiao Li,

Jiarui Fang,

Kai Liu

et al.

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

Published: June 25, 2024

Background The current understanding of the mechanisms by which metal ion metabolism promotes progression and drug resistance osteosarcoma remains incomplete. This study aims to elucidate key roles genes involved in cuproptosis-related sphingolipid (cuproptosis-SPGs) regulating immune landscape, tumor metastasis, cells. Methods employed multi-omics approaches assess impact cuproptosis-SPGs on prognosis patients. Lasso regression analysis was utilized construct a prognostic model, while multivariate applied identify core generate risk coefficients for these genes, thereby calculating score each patient. Patients were then stratified into high-risk low-risk groups based their scores. ESTIMATE CIBERSORT algorithms used analyze level cell infiltration within landscape. Single-cell conducted provide more precise depiction expression patterns among subtypes. Finally, experiments cells performed validate role cuproptosis-sphingolipid signaling network migration apoptosis. Results In this study, seven identified model addition predicting survival, also demonstrated reliability forecasting response chemotherapy drugs. results showed that high closely associated with reduced CD8 T indicated poor Cellular functional assays revealed regulated LC3B/ERK pathway, triggering death impairing capabilities Conclusion survival cells, as well infiltration, highlights potential targeting copper promising strategy

Language: Английский

Citations

1
Comprehensive analysis of PPP4C’s impact on prognosis, immune microenvironment, and immunotherapy response in lung adenocarcinoma using single-cell sequencing and multi-omics DOI Creative Commons
Kaiyu Wang, Bo Peng,

Ran Xu

et al.

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

Published: July 4, 2024

Background Elevated PPP4C expression has been associated with poor prognostic implications for patients suffering from lung adenocarcinoma (LUAD). The extent to which affects immune cell infiltration in LUAD, as well the importance of genes clinical scenarios, still requires thorough investigation. Methods In our investigation, we leveraged both single-cell and comprehensive RNA sequencing data, sourced LUAD patients, analysis. This study also integrated datasets immune-related InnateDB into framework. Our expansive evaluation employed various analytical techniques; these included pinpointing differentially expressed genes, constructing WGCNA, implementing Cox proportional hazards models. We utilized methods investigate gene profiles within context clarify its potential value patients. Subsequent steps involved validating observed enhancement samples through a series experimental approaches. array comprised immunohistochemistry staining, Western blotting, quantitative PCR, collection cell-based assays aimed at evaluating influence on proliferative migratory activities cells. Results cancer, elevated levels were observed, correlating poorer patient prognoses. Validation increased specimens was achieved using immunohistochemical techniques. Experimental investigations have substantiated role facilitating cellular proliferation migration contexts. Furthermore, an association identified between cells tumors. A framework, incorporating developed recognized autonomous predictor survival individuals afflicted LUAD. tool demonstrated considerable efficacy forecasting their response immunotherapeutic interventions. Conclusion involvement is deeply intertwined tumor’s microenvironment. PPP4C’s over-expression negative outcomes, promoting tumor spread. framework based may effectively predict prognoses immunotherapy strategy. research sheds light mechanisms interaction proposes new strategy treatment.

Language: Английский

Citations

1