Integrated Analysis of Single-Cell and Bulk RNA-Sequencing Based on EcoTyper Machine Learning Framework Identifies Cell-State-Specific M2 Macrophage Markers Associated with Gastric Cancer Prognosis
In conclusion, this study profiles a single-cell atlas of intratumor heterogeneity and defines the cell states and ecotypes of TAMs in GC. Furthermore, we have identified prognostically relevant cell-state-specific M2 macrophage markers. These findings provide novel insights into the tumor ecosystem and cancer progression.
Authors
- Jiaqi Shan (ORCID: https://orcid.org/0000-0002-8617-4102)
- F F Chen
- Lulu Zhai (ORCID: https://orcid.org/0000-0003-0839-7316)
- Yi‐Ren He
- Yuqiang Shan
- Guang-Yao Li (ORCID: https://orcid.org/0000-0001-5984-7212)
- Chenxi Lv
- Zhi-Qiang Zhu
- Akao Zhu (ORCID: https://orcid.org/0000-0002-6394-5592)
Institutions
- University of Science and Technology of China (CN)
- Westlake University (CN)
- Xian Yang Central Hospital (CN)
- Affiliated Hangzhou First People's Hospital, Westlake University, School of Medicine (CN)
- Second Affiliated Hospital of Zhejiang University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- ImmunoTargets and Therapy
- Published
- 2024-12-01
- DOI
- https://doi.org/10.2147/itt.s490075
- Citations
- 3
- Primary Topic
- Immune cells in cancer
- Type
- article
- Field-Weighted Citation Impact
- 0.72