Cargando…
The Immune Subtypes and Landscape of Gastric Cancer and to Predict Based on the Whole-Slide Images Using Deep Learning
BACKGROUND: Gastric cancer (GC) is a highly heterogeneous tumor with different responses to immunotherapy. Identifying immune subtypes and landscape of GC could improve immunotherapeutic strategies. METHODS: Based on the abundance of tumor-infiltrating immune cells in GC patients from The Cancer Gen...
Autores principales: | Chen, Yan, Sun, Zepang, Chen, Wanlan, Liu, Changyan, Chai, Ruoyang, Ding, Jingjing, Liu, Wen, Feng, Xianzhen, Zhou, Jun, Shen, Xiaoyi, Huang, Shan, Xu, Zhongqing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273735/ https://www.ncbi.nlm.nih.gov/pubmed/34262565 http://dx.doi.org/10.3389/fimmu.2021.685992 |
Ejemplares similares
-
Tumor Microenvironment Characterization for Assessment of Recurrence and Survival Outcome in Gastric Cancer to Predict Chemotherapy and Immunotherapy Response
por: Chen, Yan, et al.
Publicado: (2022) -
Identification of cuproptosis-related subtypes, construction of a prognosis model, and tumor microenvironment landscape in gastric cancer
por: Wang, Jinyan, et al.
Publicado: (2022) -
The Hypoxic Landscape Stratifies Gastric Cancer Into 3 Subtypes With Distinct M6a Methylation and Tumor Microenvironment Infiltration Characteristics
por: Ning, Zhi-kun, et al.
Publicado: (2022) -
Deep Learning Facilitates Distinguishing Histologic Subtypes of Pulmonary Neuroendocrine Tumors on Digital Whole-Slide Images
por: Ilié, Marius, et al.
Publicado: (2022) -
Deep Learning for Automatic Subclassification of Gastric Carcinoma Using Whole-Slide Histopathology Images
por: Jang, Hyun-Jong, et al.
Publicado: (2021)