Recruitment of naturally occurring suppressive CD4, CD25, and FOXP3 regulatory T cells (T) to the tumor microenvironment (TME) has the potential to weaken the antitumor response in patients receiving treatment with immuno-oncology (IO) agents. Human T express CCR4 and can be recruited to the TME through the C-C chemokines CCL17 and CCL22. We have recently developed a series of potent, orally bioavailable small molecule antagonists of CCR4 that can block recruitment of T into the TME.
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http://dx.doi.org/10.1021/acsmedchemlett.8b00351 | DOI Listing |
J Transl Med
January 2025
Department of Gynecology, The Fourth Hospital of Hebei Medical University, No.12 Jiankang Road, Shijiazhuang, 050000, Hebei, China.
Background: Immune cells within tumor tissues play important roles in remodeling the tumor microenvironment, thus affecting tumor progression and the therapeutic response. The current study was designed to identify key markers of plasma cells and explore their role in high-grade serous ovarian cancer (HGSOC).
Methods: We utilized single-cell sequencing data from the Gene Expression Omnibus (GEO) database to identify key immune cell types within HGSOC tissues and to extract related markers via the Seurat package.
Mol Cancer
January 2025
Department of Radiation Oncology, Peking University Third Hospital, Beijing, 100191, China.
Background: Sorafenib, an FDA-approved drug for advanced hepatocellular carcinoma (HCC), faces resistance issues, partly due to myeloid-derived suppressor cells (MDSCs) that enhance immunosuppression in the tumor microenvironment (TME).
Methods: Various murine HCC cell lines and MDSCs were used in a series of in vitro and in vivo experiments. These included subcutaneous tumor models, cell viability assays, flow cytometry, immunohistochemistry, and RNA sequencing.
BMC Surg
January 2025
General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Affiliated People's Hospital, Zhejiang Provincial People's Hospital, Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.
Background And Aim: Hepatocellular carcinoma (HCC) is a highly immunogenic tumor and the third leading cause of cancer-related deaths worldwide with an increasing incidence. Therefore, the combination of immunotherapy with other approaches, such as anti-angiogenic agents and local area therapy, has become a new strategy for HCC treatment.
Methods: We searched PubMed and Web of Science and extracted publications relating to the radiofrequency ablation (RFA) and immunotherapy.
J Transl Med
January 2025
Department of Pathogen Biology, Key Laboratory for Pathogen Infection and Control of Jiangsu Province, Nanjing Medical University, Nanjing, 211166, Jiangsu, P.R. China.
Growing evidence implicates that intratumoral microbiota are closely linked to cancer progression; however, research on the role of these microbiota in the development of gastric cancer remains limited. Here, using 16 S rRNA sequencing, tumor tissue proteomics and serum cytokines analysis, we identified enrichment of specific microbial communities within tumors of gastric cancer patients, possibly affecting the tumor microenvironment by immune modulation, metabolic processes, and inflammatory responses. Based on the results of in vivo experiments and intratumoral microbiota analysis, we found that Streptococcus mitis can inhibit gastric cancer progression via suppressing M2 macrophage polarization and infiltration, as well as altering the intratumoral microbial community.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Gastrointestinal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Background: Tumor microenvironment (TME), particularly immune cell infiltration, programmed cell death (PCD) and stress, has increasingly become a focal point in colorectal cancer (CRC) treatment. Uncovering the intricate crosstalk between these factors can enhance our understanding of CRC, guide therapeutic strategies, and improve patient prognosis.
Methods: We constructed an immune-related cell death and stress (ICDS) prognostic model utilizing machine learning methodologies.
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