Purpose: This study aimed to investigate gender-dependent antitumor immune response to neoadjuvant chemoradiotherapy (NACRT) in pancreatic ductal adenocarcinoma (PDAC) patients.
Methods: This study enrolled 58 patients (25 females and 33 males) with borderline resectable PDAC who underwent R0 surgical resection after NACRT. The resected tumor specimens were analyzed for tumor-associated macrophages (TAMs); tumor-infiltrating lymphocytes (CD8+ and CD4+ T cells); regulatory T cells; and IRF-5-expressing cells using immunohistochemical staining for CD163, CD204, CD8, CD4, Foxp3, and IRF-5 antigen. The relationship between clinicopathological features and clinical outcomes was evaluated using multivariate Cox proportional hazard analysis.
Results: Females had longer overall survival (P = .044) and relapse-free survival (P = .044) than males. The CD204+ TAM number was significantly lower in females than in males (P = .009). No significant difference occurred between female and male patients in other tumor-infiltrating immune cells. IRF-5+ cell number was significantly higher in female patients (P = .002). Negative correlation occurred between CD204+ cells and IRF-5-positive cells (P = .003, r = -.385).
Conclusions: Female gender was an independent prognostic factor possibly due to the greater reduction in CD204+ TAM infiltration in tumors after NACRT. The beneficial effects of NACRT on TAMs' infiltration might be associated with gender-dependent IRF-5 expression.
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http://dx.doi.org/10.1002/jhbp.883 | DOI Listing |
Medicine (Baltimore)
January 2025
Department of Breast, Haining Maternity and Child Health Care Hospital, Haining, Zhejieng, China.
Endosomes play a pivotal role in cellular biology, orchestrating processes such as endocytosis, molecular trafficking, signal transduction, and recycling of cellular materials. This study aims to construct an endosome-related gene (ERG)-derived risk signature for breast cancer prognosis. Transcriptomic and clinical data were retrieved from The Cancer Genome Atlas and the University of California Santa Cruz databases to build and validate the model.
View Article and Find Full Text PDFCancer Med
January 2025
Medical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong SAR, China.
Purpose: Recent research (Li et al. 2021) suggests an upregulated expression and activation of H1 receptors on macrophages in the tumor microenvironment, and concomitant H1-antihistamine use is associated with improved overall survival in patients with lung and skin cancers receiving immunotherapy. Therefore, we retrospectively evaluated the impacts of H1-antihistamine use in cancer patients during immunotherapy.
View Article and Find Full Text PDFViral Immunol
January 2025
Department of Microbiology, Basic Science Center, Autonomous University of Aguascalientes, Aguascalientes, Mexico.
Respiratory syncytial virus (RSV) is one of the most important etiologies of acute respiratory infections that cause bronchiolitis in children under 5 years of age. Treatments are expensive, no vaccine is available, and this is an important cause of hospitalization. Costimulatory molecules have been reported to be good inducers of antiviral type 1 immune response.
View Article and Find Full Text PDFAdv Healthc Mater
January 2025
School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China.
Sonodynamic therapy (SDT), which is non-invasive and controllable has the potential to treat triple-negative breast cancer (TNBC). However, the hypoxia and immunosuppressive tumor microenvironment (TME) often block the production of reactive oxygen species and the induction of SDT-activated immunogenic cell death, thus limiting the activation of adaptive immune responses. To alleviate these challenges, we proposed the development of a multifunctional biomimetic nanoplatform (mTSeIR), which was designed with diselenide-conjugated sonosensitizers and tirapazamine (TPZ), encapsulated within M1 macrophage membrane.
View Article and Find Full Text PDFBiol Direct
January 2025
School of Medicine, South China University of Technology, Guangzhou, 510006, China.
Background: Pancreatic cancer is characterized by a complex tumor microenvironment that hinders effective immunotherapy. Identifying key factors that regulate the immunosuppressive landscape is crucial for improving treatment strategies.
Methods: We constructed a prognostic and risk assessment model for pancreatic cancer using 101 machine learning algorithms, identifying OSBPL3 as a key gene associated with disease progression and prognosis.
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