
BioMed Research International, Год журнала: 2024, Номер 2024, С. 1 - 1
Опубликована: Янв. 9, 2024
Язык: Английский
BioMed Research International, Год журнала: 2024, Номер 2024, С. 1 - 1
Опубликована: Янв. 9, 2024
Язык: Английский
Frontiers in Pharmacology, Год журнала: 2023, Номер 14
Опубликована: Авг. 17, 2023
Tumor-associated macrophages (TAMs) are essential components of the immune cell stroma hepatocellular carcinoma. TAMs originate from monocytic myeloid-derived suppressor cells, peripheral blood monocytes, and kupffer cells. The recruitment monocytes to HCC tumor microenvironment is facilitated by various factors, leading their differentiation into with unique phenotypes. can directly activate or inhibit nuclear factor-κB, interleukin-6/signal transducer signal activator transcription 3, Wnt/β-catenin, transforming growth factor-β1/bone morphogenetic protein, extracellular signal-regulated kinase 1/2 signaling pathways in cells interact other via producing cytokines vesicles, thus affecting carcinoma proliferation, invasive migratory, angiogenesis, liver fibrosis progression, processes participate different stages progression. In recent years, have received much attention as a prospective treatment target for HCC. This review describes origin characteristics mechanism action occurrence development offer theoretical foundation further clinical research TAMs.
Язык: Английский
Процитировано
8Scientific Data, Год журнала: 2023, Номер 10(1)
Опубликована: Ноя. 20, 2023
Triple-negative breast cancer (TNBC) is the most aggressive subtype of and carries worst prognosis, characterized by lack progesterone, estrogen, HER2 gene expression. This study aimed to analyze stemness-related signature determine patients' risk stratification prognosis feature with TNBC. Here one-class logistic regression (OCLR) algorithm was applied compute stemness index TNBC patients. Cox LASSO analysis performed on stemness-index related genes establish 16 genes-based prognostic signature, their predictive performance verified in TCGA METABERIC merged data cohort. We diagnosed expression level tumor immune microenvironment, analyzed scRNA-seq GSE176078 dataset, further validated using HPA database. Finally, small molecular compounds targeted at anti-tumor effect were screened docking; this novel stemness-based could facilitate patients thus provide a feasible therapeutic target for
Язык: Английский
Процитировано
6BioMed Research International, Год журнала: 2024, Номер 2024, С. 1 - 1
Опубликована: Янв. 9, 2024
Язык: Английский
Процитировано
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