Cargando…
A Novel Artificial Neural Network Prognostic Model Based on a Cancer-Associated Fibroblast Activation Score System in Hepatocellular Carcinoma
INTRODUCTION: Hepatocellular carcinoma (HCC) ranks fourth as the most common cause of cancer-related death. It is vital to identify the mechanism of progression and predict the prognosis for patients with HCC. Previous studies have found that cancer-associated fibroblasts (CAFs) promote tumor prolif...
Autores principales: | Luo, Yiqiao, Tan, Huaicheng, Yu, Ting, Tian, Jiangfang, Shi, Huashan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304772/ https://www.ncbi.nlm.nih.gov/pubmed/35874676 http://dx.doi.org/10.3389/fimmu.2022.927041 |
Ejemplares similares
-
Potential Immune Biomarker Candidates and Immune Subtypes of Lung Adenocarcinoma for Developing mRNA Vaccines
por: Wang, Yang, et al.
Publicado: (2021) -
Integratively Genomic Analysis Reveals the Prognostic and Immunological Characteristics of Pyroptosis and Ferroptosis in Pancreatic Cancer for Precision Immunotherapy
por: Yu, Ting, et al.
Publicado: (2022) -
Assessing the efficacy of immunotherapy in lung squamous carcinoma using artificial intelligence neural network
por: Li, Siqi, et al.
Publicado: (2022) -
Development and Validation of TACE Refractoriness-Related Diagnostic and Prognostic Scores and Characterization of Tumor Microenvironment Infiltration in Hepatocellular Carcinoma
por: He, Qifan, et al.
Publicado: (2022) -
New Artificial Intelligence Score and Immune Infiltrates as Prognostic Factors in Colorectal Cancer With Brain Metastases
por: Randrian, Violaine, et al.
Publicado: (2021)