Transcriptome-based insights into the role of cancer-associated fibroblasts in lung adenocarcinoma prognosis and therapy
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View abstract on PubMed
Summary
This summary is machine-generated.Cancer-associated fibroblasts (CAFs) impact lung adenocarcinoma (LUAD) patient outcomes and drug response. An eight-gene signature predicts poor prognosis and guides chemotherapy/immunotherapy decisions for LUAD patients.
Area Of Science
- Oncology
- Cancer Biology
- Bioinformatics
Background
- Cancer-associated fibroblasts (CAFs) are implicated in tumor progression and therapeutic resistance.
- Understanding CAF roles is crucial for improving lung adenocarcinoma (LUAD) patient prognosis and treatment strategies.
Purpose Of The Study
- To investigate the prognostic value of CAFs in LUAD.
- To explore the relationship between CAF infiltration and patient response to chemotherapy and immunotherapy.
Main Methods
- Utilized The Cancer Genome Atlas-LUAD and GSE68465 datasets.
- Employed four algorithms for CAF infiltration and stromal score quantification.
- Applied weighted gene co-expression network analysis and Cox regression to develop an eight-gene CAF signature.
Main Results
- A high CAF score, derived from the eight-gene signature, was associated with significantly worse LUAD patient prognosis.
- The CAF score independently predicted poor prognosis in LUAD.
- Patients with high CAF scores showed sensitivity to chemotherapy but resistance to immunotherapy.
Conclusions
- The eight-gene CAF signature serves as a potential biomarker for predicting LUAD prognosis.
- This signature can aid in evaluating patient response to chemotherapy and immunotherapy, facilitating personalized treatment approaches.
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