ImmunoTar—Integrative Prioritization of Cell Surface Targets for Cancer Immunotherapy

Cancer remains one of the leading causes of death globally. Despite significant advancements in immunotherapy in recent years, such as the successful application of chimeric antigen receptor T-cell (CAR-T) therapy and antibody-drug conjugates (ADCs), the effective identification of cancer-specific surface protein targets remains a major challenge i...

Transcriptome Concordance Between Borderline Tumors and Endometrioid Carcinoma: An Integrative Genomic Analysis

Transcriptomic Concordance Between Borderline Ovarian Tumors and Endometrioid Carcinoma: A Research Study Background Introduction Borderline ovarian tumors (BOTs) are ovarian neoplasms that lie between benign and malignant tumors, typically occurring in young women. Although BOTs are clinically non-invasive, they can occasionally progress to malign...

Mapping Tumor Habitats in Isocitrate Dehydrogenase-Wild Type Glioblastoma: Integrating MRI, Pathologic, and RNA Data

Pathological Validation of MRI Tumor Habitats in Glioblastoma Background Introduction Glioblastoma (GBM) is a highly malignant brain tumor characterized by significant heterogeneity and invasiveness. Due to its complex tumor microenvironment (TME), traditional imaging methods struggle to accurately distinguish different tumor regions, such as the t...

Attenuation of Fibroblast Activation and Fibrosis by Adropin in Systemic Sclerosis

Reducing Fibroblast Activation and Fibrosis in Systemic Sclerosis through Adropin Fibrotic diseases of the skin and other organs have become significant socioeconomic challenges in modern society, and current treatment options are limited. This background for this study seeks to address the problem of fibrosis in Systemic Sclerosis (SSc), with the ...

Generation of Synthetic Whole-Slide Image Tiles of Tumours from RNA-Sequencing Data via Cascaded Diffusion Models

Generation of Synthetic Whole-Slide Image Tiles of Tumours from RNA-Sequencing Data via Cascaded Diffusion Models

Generation of Synthetic Whole-Slide Images of Tumors from RNA Sequencing Data via Cascaded Diffusion Models A recent study published in Nature Biomedical Engineering, titled “Generation of Synthetic Whole-Slide Image Tiles of Tumours from RNA-Sequencing Data via Cascaded Diffusion Models,” has garnered significant attention. This research, conducte...