Integrating single-cell RNA-seq and bulk RNA-seq to construct a neutrophil prognostic model for predicting prognosis and immune response in oral squamous cell carcinoma DOI Creative Commons

Jinhang Wang,

Zifeng Cui,

Qiwen Song

et al.

Human Genomics, Journal Year: 2024, Volume and Issue: 18(1)

Published: Dec. 26, 2024

Oral squamous cell carcinoma (OSCC) is an aggressive malignancy with poor prognosis. Neutrophil infiltration has been associated unfavorable outcomes in OSCC, but the underlying molecular mechanisms remain unclear. This study integrated single-cell transcriptomics (scRNA-seq) bulk RNA-seq data to analyze neutrophil patterns OSCC and identify key gene modules using weighted co-expression network analysis (hdWGCNA). A prognostic model was developed based on univariate Lasso-Cox regression analyses, stratifying patients into high- low-risk groups. Immune landscape drug sensitivity analyses were conducted explore group-specific differences. Additionally, Mendelian randomization employed genes causally related progression. Several pathways interactions progression identified, leading construction of a significant module genes. The demonstrated strong predictive performance distinguishing survival rates between revealed differences TIDE scores Drug highlighted responsiveness elucidates critical role neutrophils their provides novel reference for patient stratification targeted therapy. These findings offer potential new targets diagnosis, prognosis, immunotherapy.

Language: Английский

Interpretable Machine Learning for Survival Prediction and Analysis in Stage Ib Lung Squamous Cell Carcinoma DOI
Qi Ding, Chutong Lin,

Y. H. Lam

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Integrating single-cell RNA-seq and bulk RNA-seq to construct a neutrophil prognostic model for predicting prognosis and immune response in oral squamous cell carcinoma DOI Creative Commons

Jinhang Wang,

Zifeng Cui,

Qiwen Song

et al.

Human Genomics, Journal Year: 2024, Volume and Issue: 18(1)

Published: Dec. 26, 2024

Oral squamous cell carcinoma (OSCC) is an aggressive malignancy with poor prognosis. Neutrophil infiltration has been associated unfavorable outcomes in OSCC, but the underlying molecular mechanisms remain unclear. This study integrated single-cell transcriptomics (scRNA-seq) bulk RNA-seq data to analyze neutrophil patterns OSCC and identify key gene modules using weighted co-expression network analysis (hdWGCNA). A prognostic model was developed based on univariate Lasso-Cox regression analyses, stratifying patients into high- low-risk groups. Immune landscape drug sensitivity analyses were conducted explore group-specific differences. Additionally, Mendelian randomization employed genes causally related progression. Several pathways interactions progression identified, leading construction of a significant module genes. The demonstrated strong predictive performance distinguishing survival rates between revealed differences TIDE scores Drug highlighted responsiveness elucidates critical role neutrophils their provides novel reference for patient stratification targeted therapy. These findings offer potential new targets diagnosis, prognosis, immunotherapy.

Language: Английский

Citations

0