ABSTRACT Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths, its progression and treatment heterogeneity are mainly influenced by driver gene and tumor micro-environment (TME) interactions. Nevertheless, the mechanisms of this process at the single-cell level remain unclear. This study integrated TCGA and multi-center single-cell transcriptome data to identify a 575 genes HCC-specific core set, developing a single-cell “oncogene scoring” system to quantify individual carcinogenic activity. This score is significantly elevated in malignant and proliferative T cells and is closely associated with metabolic reprogramming, aberrant cell‒cell communication, and immunosuppressive phenotypes. Based on these characteristics, we constructed a machine learning-based Random Survival Forest (RSF) prognostic model validated in multiple independent cohorts, which classifies patients into distinct risk subtypes. The high-risk group exhibits genomic instability, increased tumor stemness, and immune evasion, while the low-risk group was more sensitive to drugs such as sorafenib. This study highlights the potential pathways by which high oncogenic activity is associated with HCC progression, suggesting a profound link with single-cell metabolic‒immune crosstalk. The constructed RSF model offers a promising computational framework for risk stratification and provides hypothesis-generating insights that may inform future personalized treatment strategies for HCC patients.
Cancer immunotherapy has revolutionized the landscape of cancer treatment, particularly through the development of immune checkpoint blockade (ICB) targeting the PD-1/PD-L1 axis. However, the therapeutic efficacy of these interventions is frequently hindered by the immunosuppressive tumor microenvironment (TME), which is characterized by hypoxia, poor immune cell infiltration, and impaired antigen presentation. To overcome these barriers, MP-GCZ has been developed as a self-oxygenating biomimetic nanomotor to synergistically reprogram the TME and enhance antitumor immune responses through integrated multimodal mechanisms. This nanosystem combines photothermal therapy (PTT), cuproptosis-induced immunogenic cell death (ICD), and localized immune checkpoint modulation to address the complex immunosuppressive network of the TME. By leveraging a metal-organic framework scaffold, MP-GCZ enables controlled delivery of therapeutic components that alleviate hypoxia, trigger immunogenic tumor cell death, and enhance adaptive immune responses. When activated by near-infrared irradiation, MP-GCZ enhances dendritic cell maturation, increases infiltration of cytotoxic T lymphocytes, thereby transforming immunologically "cold" tumors into inflamed, immunogenic environments. Preclinical studies demonstrate that this strategy effectively suppresses both primary tumor growth and distant metastases, driven by systemic antitumor immunity. MP-GCZ represents a promising comprehensive approach to overcoming TME-mediated resistance and may offer a valuable solution to enhance the clinical efficacy of cancer immunotherapy.
Xin-yu Gu, Sheng-Wei Shen, Yuting He et al.· Materials Today Bio· 0 citations
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