Other Cancers

cGAS-STING pathway regulated by spatiotemporal heterogeneity of tumor microenvironment and precision therapy strategies in lung cancer.

The cGAS-STING pathway is a central regulator of innate immunity and exhibits a complex dual function in lung cancer: it can activate anti-tumor immune responses but also promote immune escape and metastasis. This "double-edged sword" effect is highly dependent on the spatiotemporal heterogeneity of the tumor microenvironment (TME), referring to dynamic changes in immune and metabolic features acr...

Prognostic Significance and Therapeutic Implications of Migrasome-related genes in Sorafenib Treatment for Primary Liver Cancer.

PURPOSE: This study aimed to reveal the mechanism and prognostic significance of migrasome-related genes (MGs) in primary liver cancer (PLC) treated with Sorafenib (Sor) treatment. METHODS: Datasets were extracted from an online database, and differentially expressed genes (DEGs) were explored. WGCNA was used to detect co-expressed gene modules. Next, MGs and differentially expressed MGs were inte...

MedNext-Insight Model for Automated Metabolic Tumor Volume Delineation on Computed Tomography and Prognostic Value in Nasopharyngeal Carcinoma.

PURPOSES: To develop a deep learning model for automated metabolic tumor volume (MTV) delineation on routine computed tomography (CT) without positron...

Integrated single-cell and bulk transcriptomic analyses unveil a necroptosis-related prognostic model and its association with tumor microenvironment remodeling in gastric cancer.

BACKGROUND: Necroptosis has emerged as a critical regulator in tumor progression and therapeutic response, yet its prognostic significance and influen...

The retinol metabolizing enzyme DHRS3 coordinates antigen presentation, endothelial stability, and cholesterol metabolism to suppress hepatocellular carcinoma progression.

Hepatocellular carcinoma (HCC) remains a therapeutic challenge due to tumor microenvironment heterogeneity and metabolic reprogramming. DHRS3, a retin...

Cross-Platform Comparative Spatial Transcriptomics in High-Grade Serous Carcinoma.

PURPOSE: High-grade serous carcinoma (HGSC) is a remarkably heterogeneous tumor. The purpose of this study was to directly compare the reproducibility...

Single-cell and spatial analyses identify a glycolysis-high state driven by STOML2 in epithelial ovarian cancer.

OBJECTIVE: Metabolic heterogeneity contributes to therapeutic resistance and poor prognosis in epithelial ovarian cancer (EOC), yet the regulatory dri...

Remission, Relapse, and Thyroid-Related Parameters Measurement at Discontinuation of Low-Dose Anti-Thyroid Drugs in Graves' Disease.

BACKGROUND: This study aimed to elucidate the relationship between thyroid-related parameters and the prognosis of Graves' disease (GD). METHODS: This...

Advancing equity in endometrial cancer: A narrative synthesis using a cluster-informed framework for resource-stratified implementation.

Endometrial cancer incidence and mortality are rising globally, disproportionately affecting health systems facing diagnostic, therapeutic, and surviv...

Medical pre-training and fine-tuning improve large-language-model prediction of rheumatoid-arthritis disease activity.

OBJECTIVE: To evaluate whether medical-domain pre-training and parameter-efficient fine-tuning improve the ability of locally deployable large languag...

Integrating spatial and single-cell transcriptomics via machine learning to characterize efferocytosis in hepatocellular carcinoma prognosis and immunotherapy.

BACKGROUND: The intratumoral heterogeneity and immunosuppressive microenvironment of hepatocellular carcinoma (HCC) significantly limit therapeutic ef...

Machine Learning Integration of Ultrasound Habitat Radiomics for Predicting Axillary Metastasis in Clinically Node-negative Triple-negative Breast Cancer.

OBJECTIVE: To develop and validate habitat radiomics as a biomarker for predicting axillary lymph node metastasis (ALNM) in clinically node-negative (...

Artificial intelligence with deep learning driven entropy-curvature attention mechanism for detection and segmentation of skin lesions using biomedical images.

In medical image analysis, skin lesion diagnosis remains a complicated task. Skin lesions are a prevalent form of skin disease that exists globally. A...

NucVerse3D: generalizable 3D nuclear instance segmentation across heterogeneous microscopy modalities.

Accurate three-dimensional (3D) nuclear instance segmentation is a prerequisite for quantitative phenotyping in volumetric microscopy, yet remains cha...

Artificial intelligence iterative imaging reconstruction with low-dose CT scans for hepatic metastases.

Contrast-enhanced CT is commonly used in the evaluation of hepatic metastatic lesions. This prospective study aimed to assess the capability of artifi...

Scientific highlights and perspectives from the International Inflammatory Breast Cancer Symposium 2025.

Inflammatory breast cancer (IBC) is a rare yet highly aggressive subtype of breast cancer, characterized by distinct clinical features, rapid progress...

Crotonylation: A Novel Layer of the Epigenetic Landscape in Disease.

Crotonylation is a lysine acylation modification that links cellular metabolism to epigenetic regulation. Its rigid planar crotonyl group is specifica...

Micropeptides in Cancer and Immunity: Diagnostic, Therapeutic, and Synthetic Biology Frontiers.

Micropeptides are emerging as a previously hidden layer of the human proteome, redefining the long-standing separation between coding and noncoding ge...

Accuracy of Diagnosis in Myeloproliferative Neoplasms With Splanchnic Vein Thrombosis (MPN-SVT).

The role of MRCP in characterizing ductal communication and high-risk features in pancreatic cystic lesions.

Pancreatic cystic lesions are increasingly detected due to the widespread use of high-resolution cross-sectional imaging, particularly MRI and CT. The...