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Tumor cells orchestrate their microenvironment. Here, we provide biochemical, structural, functional, and clinical evidence that Cathepsin S (CTSS) alterations induce a tumor-promoting immune microenvironment in follicular lymphoma (FL). We found CTSS mutations at Y132 in 6% of FL (19/305). Another 13% (37/286) had CTSS amplification, which was associated with higher CTSS expression. CTSS Y132 mutations lead to accelerated autocatalytic conversion from an enzymatically inactive profrom to active CTSS and increased substrate cleavage, including CD74, which regulates major histocompatibility complex class II (MHC class II)-restricted antigen presentation. Lymphoma cells with hyperactive CTSS more efficiently activated antigen-specific CD4 T cells in vitro. Tumors with hyperactive CTSS showed increased CD4 T cell infiltration and proinflammatory cytokine perturbation in a mouse model and in human FLs. In mice, this CTSS-induced immune microenvironment promoted tumor growth. Clinically, patients with CTSS-hyperactive FL had better treatment outcomes with standard immunochemotherapies, indicating that these immunosuppressive regimens target both the lymphoma cells and the tumor-promoting immune microenvironment.
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http://dx.doi.org/10.1016/j.celrep.2020.107522 | DOI Listing |
J Pathol Transl Med
September 2025
Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Background: C-C motif chemokine ligand 3 (CCL3) is a crucial chemokine that plays a fundamental role in the immune microenvironment and is closely linked to the development of various cancers. Despite its importance, there is limited research regarding the expression and function of CCL3 in nasopharyngeal carcinoma (NPC). Therefore, this study seeks to examine the expression of CCL3 and assess its clinical significance in NPC using bioinformatics analysis and experiments.
View Article and Find Full Text PDFMacrophage Migration Inhibitory Factor (MIF) is a pleiotropic cytokine that acts as a central regulator of inflammation and immune responses across diverse organ systems. Functioning upstream in immune activation cascades, MIF influences macrophage polarization, T and B cell differentiation, and cytokine expression through CD74, CXCR2/4/7, and downstream signaling via NF-κB, ERK1/2, and PI3K/AKT pathways. This review provides a comprehensive analysis of MIF's mechanistic functions under both physiological and pathological conditions, highlighting its dual role as a protective mediator during acute stress and as a pro-inflammatory amplifier in chronic disease.
View Article and Find Full Text PDFCarcinogenesis
September 2025
Department of Medicine, Gastroenterology and Hepatology Division, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611-3010, USA.
Esophageal cancer is a major cause of cancer-related death, often preceded with chronic inflammation and injuries. The NFκB/IKKβ pathway plays a central role in inflammation, yet its role in early esophageal carcinogenesis remains unclear. This study investigated the role of epithelial IKKβ in early esophageal carcinogenesis.
View Article and Find Full Text PDFCancer Rep (Hoboken)
September 2025
Department of Respiratory and Critical Care Medicine, The Fourth Affiliated Hospital of Soochow University, Suzhou Dushu Lake Hospital, Medical Centre of Soochow University, Suzhou, Jiangsu, China.
Background: Epigenetic regulation significantly affects immune responses in lung adenocarcinoma (LUAD). However, the role of RNA N6-methyladenosine (m6A) modification, especially in obstructive sleep apnea-hypopnea syndrome (OSAHS) within LUAD, is not well understood.
Methods: This study examined m6A modification patterns in 973 LUAD patients using 23 regulatory genes.
Nan Fang Yi Ke Da Xue Xue Bao
August 2025
Department of Urology, Third Affiliated Hospital of Southern Medical University, Guangzhou 510000, China.
Objectives: To identify immunosuppressive neutrophil subsets in patients with prostate cancer (PCa) and construct a risk prediction model for prognosis and immunotherapy response of the patients based on these neutrophil subsets.
Methods: Single-cell and transcriptome data from PCa patients were collected from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). Neutrophil subsets in PCa were identified through unsupervised clustering, and their biological functions and effects on immune regulation were analyzed by functional enrichment, cell interaction, and pseudo-time series analyses.