Machine learning model reveals the risk, prognosis, and drug response of histamine-related signatures in pancreatic cancer
The HRG signature holds the potential to serve as effective biomarkers for diagnosing, predicting the prognosis, and assessing the sensitivity to chemotherapy in PAAD.
Authors
- Zusen Wang (ORCID: https://orcid.org/0000-0002-6250-6264)
- Zhiyuan Yao (ORCID: https://orcid.org/0000-0002-5759-9822)
- Jingyu Cao (ORCID: https://orcid.org/0000-0003-3355-2031)
- Changlei Li
- Yukun Liu (ORCID: https://orcid.org/0000-0002-6035-7920)
- Chao Qu (ORCID: https://orcid.org/0000-0002-7655-6318)
- Xiang-Yu Pei
- Guanming Shao
Institutions
- Qingdao University (CN)
- Affiliated Hospital of Qingdao University (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-02-11
- DOI
- https://doi.org/10.1007/s12672-025-01910-y
- Citations
- 6
- Primary Topic
- Epigenetics and DNA Methylation
- Type
- article
- Field-Weighted Citation Impact
- 4.84
Funders
- Natural Science Foundation of Shandong Province
- Qingdao University
- Natural Science Foundation of Qingdao