Development of a Serum Proteomic-Based Diagnostic Model for Lung Cancer Using Machine Learning Algorithms and Unveiling the Role of SLC16A4 in Tumor Progression and Immune Response.
Year: 2025
Type: article
Abstract: in lung cancer may be regulated by DNA copy number variations and DNA methylation. In conclusion, this study not only established an efficient diagnostic model for lung cancer but also identified SLC16A4 as a promising biomarker with potential applications in early diagnosis and immunotherapy.
Source: PubMed
DOI: 10.3390/biom15081081
Authors: Hanqin Hu, Jiaxin Zhang, Lisha Zhang, Tiancan Li, Miaomiao Li, Jianxiang Li, Jin Wang
Institution: Soochow University
Language: English
Topic: Lung Cancer Research Studies
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: G149489618, G8011904350, G8730558561
OpenAlex ID: W4412833366