Prognostic model of lung adenocarcinoma from the perspective of cancer-associated fibroblasts using single-cell and bulk RNA-sequencing

Prognostic model of lung adenocarcinoma from the perspective of cancer-associated fibroblasts using single-cell and bulk RNA-sequencing

Abstract Cancer-associated fibroblasts (CAFs) play important roles in the progression of lung adenocarcinoma (LUAD). We examined CAF subgroups via gene ontology, pseudo-time, and cell communication analyses and explored their prognostic value in LUAD using a digital cytometric machine learning algor...

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Bibliographic Details
Main Authors: Jiarui Zhao, Chuanqing Jing, Rui Fan, Wei Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Lung adenocarcinoma
Single-cell and bulk RNA-sequencing
Cancer-associated fibroblasts
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-05058-1
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https://doi.org/10.1038/s41598-025-05058-1

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