Blood transfusion mediated tumor microenvironment remodeling in breast cancer.

Blood transfusions play a critical role in breast cancer management, particularly in addressing perioperative blood loss and chemotherapy-induced anemia. However, emerging evidence suggests that transfusions may adversely affect oncologic outcomes by inducing transfusion-related immunomodulation (TRIM) and altering the tumor microenvironment (TME). TRIM suppresses cytotoxic immune responses, potentially facilitating tumor progression-especially in aggressive subtypes such as triple-negative breast cancer (TNBC) and HER2-positive cancers.

Application value of dual-sequence MRI based nomogram of radiomics and morphologic features in predicting tumor differentiation degree and lymph node metastasis of Oral squamous cell carcinoma.

Background: Oral squamous cell carcinoma is a highly invasive tumor. The degree of histological differentiation and lymph node metastasis are important factors in the treatment and prognosis of patients. There is a lack of non-invasive and accurate preoperative risk prediction model in the existing clinical work.

Breaking immune evasion in breast cancer by targeting COX-2/PGE2 pathway.

The cyclooxygenase-2 (COX-2)/prostaglandin E2 (PGE2) pathway plays a pivotal role in breast cancer (BC) progression by promoting immune suppression, tumor growth, and metastasis. PGE2 mediates these effects through EP receptors (EP1-EP4), suppressing anti-tumor immunity while fostering an immunosuppressive tumor microenvironment (TME). This includes the recruitment and activation of tumor-associated macrophages (TAMs), dendritic cells (DCs), cancer-associated fibroblasts (CAFs), myeloid-derived suppressor cells (MDSCs), and regulatory T cells (Tregs), ultimately impairing cytotoxic T lymphocyte and natural killer (NK) cell function.

Dual Targeting of Inflammatory and Immune Checkpoint Pathways to Overcome Radiotherapy Resistance in Esophageal Squamous Cell Carcinoma.

Esophageal squamous cell carcinoma (ESCC) is characterized by chronic inflammation, immune evasion, and resistance to RT. Inflammatory pathways such as nuclear factor-kappa B (NF-κB) and signal transducer and activator of transcription 3 (STAT3), and cyclooxygenase 2 (COX-2) promote tumor progression and reduce radiosensitivity. RT activates pro-inflammatory cytokines and upregulates immune checkpoints including programmed death 1 (PD-1) and cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4), which contribute to immune suppression and treatment failure.

Interleukin-17A Exacerbates the Development of High-Salt-Induced Hypercholesterolemia.

This study aimed to investigate the molecular mechanisms through which dietary salt affects blood pressure and cholesterol homeostasis. We established a hypertension and hypercholesterolemia model via feeding a high salt diet (8% NaCl, HSD) to Dahl salt-sensitive (SS) rats for 5 weeks. This diet regime successfully induced hypertension and increased serum TC and LDL-C.

Correction: Mechanical forces and enzymatic digestion act together to induce the remodeling of collagen fibrils in tumor microenvironment.

Correction for 'Mechanical forces and enzymatic digestion act together to induce the remodeling of collagen fibrils in tumor microenvironment' by Jiling Shi , , 2025, https://doi.org/10.1039/d4lc00821a.

Mechanical forces and enzymatic digestion act together to induce the remodeling of collagen fibrils in tumor microenvironment.

Cancer is a serious disease in human beings, and its high lethality is mainly due to the invasion and metastasis of cancer cells. Clinically, the accumulation and high orientation of collagen fibrils were observed in cancerous tissue, which occurred not only at the location of invasion but also at 10-20 cm from the tumor. Studies indicated that the invasion of cancer cells could be guided by the oriented collagen fibrils, even in a dense matrix characterized by difficulty degradation.

Inflammation and Immune Escape in Ovarian Cancer: Pathways and Therapeutic Opportunities.

Ovarian cancer (OC) remains one of the most lethal gynecological malignancies, largely due to its late-stage diagnosis and high recurrence rates. Chronic inflammation is a critical driver of OC progression, contributing to immune evasion, tumor growth, and metastasis. Inflammatory cytokines, including IL-6, TNF-α, and IL-8, as well as key signaling pathways such as nuclear factor kappa B (NF-kB) and signal transducer and activator of transcription 3 (STAT3), are upregulated in OC, promoting a tumor-promoting environment.

CDKN3 as a key regulator of G2M phase in triple-negative breast cancer: Insights from multi-transcriptomic analysis.

Triple-negative breast cancer (TNBC) remains a significant global health challenge, emphasizing the need for precise identification of patients with specific therapeutic targets and those at high risk of metastasis. This study aimed to identify novel therapeutic targets for personalized treatment of TNBC patients by elucidating their roles in cell cycle regulation. Using weighted gene co-expression network analysis (WGCNA), we identified 83 hub genes by integrating gene expression profiles with clinical pathological grades.

Unraveling the Multifaceted Roles of Atypical Chemokine Receptors in Breast Cancer.

Breast cancer (BC) remains one of the most prevalent and deadly malignancies among women globally. A deeper understanding of the molecular mechanisms driving BC progression and metastasis is essential for the development of effective therapeutic strategies. While traditional chemokine receptors are well known for their roles in immune cell migration and positioning, atypical chemokine receptors (ACKRs) have recently gained attention as key modulators in cancer-related processes.

Advanced machine learning unveils CD8 + T cell genetic markers enhancing prognosis and immunotherapy efficacy in breast cancer.

Background: Breast cancer (BC) is the most common cancer in women and poses a significant health burden, especially in China. Despite advances in diagnosis and treatment, patient variability and limited early detection contribute to poor outcomes. This study examines the role of CD8 + T cells in the tumor microenvironment to identify new biomarkers that improve prognosis and guide treatment strategies.

High Glycolytic Activity Signature Reveals CCNB2 as a Key Therapeutic Target in Triple-Negative Breast Cancer.

Background: Aerobic glycolysis and the cell cycle are well-established tumor hallmarks. Understanding their relationship could help to unravel the pathogenic mechanisms of breast cancer (BC) and suggest potential new strategies for treatment.

Methods: Glycolysis-related genes (GRGs) were downloaded from the Reactome database and screened using univariate Cox analysis.

Replenishment of TCA cycle intermediates and long-noncoding RNAs regulation in breast cancer.

The tricarboxylic acid (TCA) cycle is an essential interface that coordinates cellular metabolism and is as a primary route determining the fate of a variety of fuel sources, including glucose, fatty acid and glutamate. The crosstalk of nutrients replenished TCA cycle regulates breast cancer (BC) progression by changing substrate levels-induced epigenetic alterations, especially the methylation, acetylation, succinylation and lactylation. Long non-coding RNAs (lncRNA) have dual roles in inhibiting or promoting energy reprogramming, and so altering the metabolic flux of fuel sources to the TCA cycle, which may regulate epigenetic modifications at the cellular level of BC.

Host Factors Modulate Virus-Induced IFN Production via Pattern Recognition Receptors.

Innate immunity is the first line of defense in the human body, and it plays an important role in defending against viral infection. Viruses are identified by different pattern-recognition receptors (PRRs) that activate the mitochondrial antiviral signaling protein (MAVS) or transmembrane protein 173 (STING), which trigger multiple signaling cascades that cause nuclear factor-κB (NF-κB) and interferon regulatory factor 3 (IRF3) to produce inflammatory factors and interferons (IFNs). PRRs play a pivotal role as the first step in pathogen induction of interferon production.

Oxaliplatin-Loaded Mil-100(Fe) for Chemotherapy-Ferroptosis Combined Therapy for Gastric Cancer.

Oxaliplatin (Oxa) is a commonly used chemotherapy drug in the treatment of gastric cancer, but its toxic side effects and drug resistance after long-term use have seriously limited its efficacy. Loading chemotherapy drugs with nanomaterials and delivering them to the tumor site are common ways to overcome the above problems. However, nanomaterials as carriers do not have therapeutic functions on their own, and the effect of single chemotherapy is relatively limited, so there is still room for progress in related research.

Oral and maxillofacial surgeons' views on the adoption of additive manufacturing: findings from a nationwide survey.

Objectives: Hospitals in many European countries have implemented Additive Manufacturing (AM) technology for multiple Oral and Maxillofacial Surgery (OMFS) applications. Although the technology is widely implemented, surgeons also play a crucial role in whether a hospital will adopt the technology for surgical procedures. The study has two objectives: (1) to investigate how hospital type (university or non-university hospital) influences surgeons' views on AM, and (2) to explore how previous experience with AM (AM experience or not) influences surgeons' views on AM.

PLAU and GREM1 are prognostic biomarkers for predicting immune response in lung adenocarcinoma.

Lung adenocarcinoma (LUAD) is a common malignant tumor. Identification of biomarkers and understanding their potential functions will facilitate the treatment and diagnosis in LUAD patients. The yellow module (cor = 0.

The integration of multidisciplinary approaches revealed PTGES3 as a novel drug target for breast cancer treatment.

Background: The main challenge in personalized treatment of breast cancer (BC) is how to integrate massive amounts of computing resources and data. This study aimed to identify a novel molecular target that might be effective for BC prognosis and for targeted therapy by using network-based multidisciplinary approaches.

Methods: Differentially expressed genes (DEGs) were first identified based on ESTIMATE analysis.

Comparative proteomics analysis of kidney in chicken infected by infectious bronchitis virus.

The gamma coronavirus infectious bronchitis virus (IBV) is known to cause an acute and highly contagious infectious disease in poultry. Here, this study aimed to investigate the impact of virulent or avirulent IBV infection on the avian host by conducting proteomics with data-independent acquisition mass spectrometry (DIA-MS) in the kidneys of IBV-infected chickens. The results revealed 267, 489, and 510 differentially expressed proteins (DEPs) in the chicken kidneys at 3, 5, and 7 days postinfection (dpi), respectively, when infected with the GD17/04 strain, which is a highly nephrogenic strain and belongs to the 4/91 genotype.

Aggressive fibromatosis near the incision after cervical spinal cord ependymoma: A case report.

Aggressive fibromatosis (AF), also known as ligamentoid fibromatosis and desmoid tumor, is a fibroblast clonoproliferative lesion located in the deep soft tissue. The present study reports the case of a 36-year-old female with AF who underwent cervical spinal cord ependymoma surgery. AF developed in the soft tissue of the neck adjacent to the incision site.

Differentiation of neurogenic tumours and pleomorphic adenomas in the parapharyngeal space based on texture analysis of T2WI.

Background: The purpose of this study was to identify neurogenic tumours and pleomorphic adenomas of the parapharyngeal space based on the texture characteristics of MRI-T2WI.

Methods: MR findings and pathological reports of 25 patients with benign tumours in the parapharyngeal space were reviewed retrospectively (13 cases with pleomorphic adenomas and 12 cases with neurogenic tumours). Using PyRadiomics, the texture of the region of interest in T2WI sketched by radiologists was analysed.

Construction and Application of a Nomogram for Predicting Benign and Malignant Parotid Tumors.

Objective: A prediction model of benign and malignant differentiation was established by magnetic resonance signs of parotid gland tumors to provide an important basis for the preoperative diagnosis and treatment of parotid gland tumor patients.

Methods: The data from 138 patients (modeling group) who were diagnosed based on a pathologic evaluation in the Department of Stomatology of Jilin University from June 2019 to August 2021 were retrospectively analyzed. The independent factors influencing benign and malignant differentiation of parotid tumors were selected by logistic regression analysis, and a mathematical prediction model for benign and malignant tumors was established.

Infectious bronchitis virus nucleocapsid protein suppressed type I interferon production by interfering with the binding of MDA5-dsRNA and interacting with LGP2.

The type I interferon (IFN-I) is a critical component of the innate immune responses, and Coronaviruses (CoVs) from both the Alphacoronavirus and Betacoronavirus genera interfere with the IFN-I signaling pathway in various ways. Of the gammacoronaviruses that mainly infect birds, little is known about how infectious bronchitis virus (IBV), evades or interferes with the innate immune responses in avian hosts since few IBV strains have been adapted to grow in avian passage cells. Previously, we reported that a highly pathogenic IBV strain GD17/04 has adaptability in an avian cell line, providing a material basis for further study on the interaction mechanism.

Immune-related biomarkers predict the prognosis and immune response of breast cancer based on bioinformatic analysis and machine learning.

Breast cancer (BC) is the malignancy with the highest mortality rate among women, identification of immune-related biomarkers facilitates precise diagnosis and improvement of the survival rate in early-stage BC patients. 38 hub genes significantly positively correlated with tumor grade were identified based on weighted gene coexpression network analysis (WGCNA) by integrating the clinical traits and transcriptome analysis. Six candidate genes were screened from 38 hub genes basing on least absolute shrinkage and selection operator (LASSO)-Cox and random forest.