Senescent cells can either to promote immunosuppressive tumor microenvironment or facilitate immune surveillance. Despite the revolutionary impact of cancer immunotherapy, durable responses in solid tumors, particularly in advanced stages, remain limited. Recent studies have shed light on the influence of senescent status within the tumor microenvironment (TME) on therapy resistance and major efforts are needed to overcome these challenges. This review summarizes recent advancements in targeting cellular senescence, with a particular focus on immunomodulatory approaches on the hallmarks of cellular senescence.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1038/s41416-024-02865-7 | DOI Listing |
Adv Sci (Weinh)
January 2025
Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China.
Tumor-associated macrophages (TAMs) are commonly considered accomplices in tumorigenesis and tumor development. However, the precise mechanism by which tumor cells prompt TAMs to aid in evading immune surveillance remains to be further investigated. Here, it is elucidated that tumor-secreted galectin-1 (Gal1) conferred immunosuppressive properties to TAMs.
View Article and Find Full Text PDFImmunol Cell Biol
January 2025
Laboratory of Epigenetics, Institute of Medical Biology, Polish Academy of Sciences, Łódź, Poland.
AT7519, which inhibits multiple cyclin-dependent kinases, has been extensively investigated in various types of cancer cells. Previous studies have demonstrated the ability of this molecule to suppress the expression of the nuclear receptor retinoic acid-related orphan receptor gamma (RORγ) and several genes involved in hepatocellular carcinoma progression. In this study, we identified a distinct agonistic effect of AT7519 on RORγt, an isoform expressed by various immune cells, including T helper 17 lymphocytes.
View Article and Find Full Text PDFThorac Cancer
January 2025
Department of Thoracic Surgery and Lung Transplantation, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China.
Background: The mycobiome in the tumor microenvironment of non-smokers with early-stage lung adenocarcinoma (ES-LUAD) has been minimally investigated.
Methods: In this study, we conducted ultra-deep metagenomic and transcriptomic sequencing on 128 samples collected from 46 nonsmoking ES-LUAD patients and 41 healthy controls (HC), aiming to characterize the tumor-resident mycobiome and its interactions with the host.
Results: The results revealed that ES-LUAD patients exhibited fungal dysbiosis characterized by reduced species diversity and significant imbalances in specific fungal abundances.
Adv Sci (Weinh)
January 2025
National Engineering Research Center for Biomaterials, College of Biomedical Engineering, Sichuan University, Chengdu, 610064, China.
MXenzymes, a promising class of catalytic therapeutic material, offer great potential for tumor treatment, but they encounter significant obstacles due to suboptimal catalytic efficiency and kinetics in the tumor microenvironment (TME). Herein, this study draws inspiration from the electronic structure of transition metal vanadium, proposing the leverage of TME specific-features to induce structural transformations in sheet-like vanadium carbide MXenzymes (TVMz). These transformations trigger cascading catalytic reactions that amplify oxidative stress, thereby significantly enhancing multimodal tumor therapy.
View Article and Find Full Text PDFJ Cell Mol Med
January 2025
Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Hepatocellular carcinoma (HCC) poses a continual therapeutic challenge owing to its elevated incidence and unfavourable prognosis, underscoring the critical need for the discovery of new molecular targets for detection and therapy. This work included the analysis of three publically accessible HCC datasets from TCGA and GEO. Instrumental variables (IVs) were derived via expression quantitative trait loci (eQTL) analysis, then followed by two-sample Mendelian randomisation (MR) analysis utilising publically available summary statistics.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!