Other Cancers

Preoperative CT-based topologically distinct intratumoral heterogeneity scores for predicting intratumoral tertiary lymphoid structures and outcomes in hepatocellular carcinoma: A multicenter study.

OBJECTIVES: Intratumoral tertiary lymphoid structures (iTLSs) are prognostic biomarkers for hepatocellular carcinoma (HCC). This study aimed to develop a machine learning approach based on topologically distinct intratumoral heterogeneity (ITH) scores derived from CT images to predict iTLS status and patient outcomes. METHODS: In this multicenter study, patients from Centers 1 and 2 were divided i...

Unveiling the prognostic and therapeutic landscape of the zinc transporter protein SLC39A family in colorectal cancer through multi-omics and machine learning approaches.

Colorectal cancer (CRC) remains a significant global health challenge due to its high prevalence and mortality rates. Zinc transporter proteins of the SLC39A family are crucial mediators of metal ion transport and have been implicated in numerous diseases, including cancer. However, the specific molecular mechanisms underpinning their impact on CRC progression remain poorly understood. By analyzin...

Public Transcriptomic Data Mining for SCLC: From Candidate Ma rkers to Therapeutic Exploration.

BACKGROUND: Lung cancer, especially small-cell lung cancer (SCLC), is a widespread and deadly disease often detected at advanced stages, resulting in ...

Development and validation of an interpretable prediction model for the risk of unplanned reoperation in patients underwent intracranial tumor surgery.

Brain and central nervous system (CNS) malignancies represent a substantial burden on healthcare systems worldwide, and unplanned reoperations followi...

Recent Advances in the Non-viral Delivery of Genes to Central Nervous System Disorders.

Disorders of the central nervous system (CNS), neurological disorders, neurodegenerative disorders, genetic disorders) constitute a significant burden...

Integrated single-cell and bulk transcriptomics reveals STAB1 as a novel therapeutic target for ovarian cancer.

The immunosuppressive tumor microenvironment (TME) and intrinsic heterogeneity of ovarian cancer (OC) are primary drivers of therapeutic resistance an...

Deep learning-based computer-aided diagnosis for parotid gland tumors on MRI.

OBJECTIVE: Accurate imaging-based differentiation of benign and malignant parotid tumors is essential for determining appropriate therapy. We investig...

Endothelial cell senescence shapes T cell activity in late-stage of chronic obstructive pulmonary disease.

Chronic obstructive pulmonary disease (COPD) is a leading cause of death with few effective therapies. While clinical staging distinguishes mild to ve...

Statistical models to characterize colon tumor stiffness heterogeneity through representative atomic force microscopy maps.

The study of the impact of physical forces and on cells has emerged as a fertile field of investigation. Applications in oncology are especially trans...

Deciphering lung adenocarcinoma heterogeneity: a multi-omics approach reveals nuclear division fibroblasts as prognosticators and therapeutic targets.

BACKGROUND: Lung adenocarcinoma (LUAD) is a predominant contributor to cancer‑related mortality globally. Lung‑associated fibroblasts (LAFs) are intri...

AI-assisted tumor board decision-making in pancreatic oncology.

BACKGROUND: Pancreatic cancer requires nuanced, multidisciplinary treatment planning typically conducted within tumor boards. While Large Language Mod...

Novel genomic risk stratification model for primary high-grade malignant peripheral nerve sheath tumor (MPNST).

Risk stratification across the three main clinical subsets of malignant peripheral nerve sheath tumor (MPNST), neurofibromatosis type I (NF1-related),...

Diagnostic accuracy of an AI-based pathologic response assessment in locally advanced non-small cell lung cancer after neoadjuvant chemo-immunotherapy.

Contrasting roles of PD-L1 expression in tumor and stroma: Biological and prognostic implications in esophageal squamous cell carcinoma.

Programmed death-ligand 1 (PD-L1) plays a central role in immune regulation in esophageal squamous cell carcinoma (ESCC) and has been widely used as a...

Stereotactic Body Radiotherapy for Spinal Metastases: Outcomes and Development of a Risk Assessment Score to Predict Local Tumor Progression.

BACKGROUND AND OBJECTIVES: Stereotactic body radiotherapy (SBRT) has emerged as an effective treatment modality for spinal metastases. However, high-p...

MRI-based AI framework for predicting lymph node metastasis and prognosis in rectal cancer after neoadjuvant chemoradiotherapy: a multicenter study.

BACKGROUND: Early prediction of lymph node metastasis (LNM) after neoadjuvant chemoradiotherapy (nCRT) is crucial for improving treatment planning and...

Macrophages restrict tumor immune infiltration by controlling collagen topography.

During tumorigenesis, the extracellular matrix is extensively remodeled. Whereas the impact of such remodeling on tumor growth and invasion is well de...

Classification of histological types in ovarian cancer using deep learning.

BACKGROUND: Histological typing of carcinomas is crucial considering the varying progression, prognosis, and treatment efficacy. Clear cell and mucino...

Atypical Ductular Reactions Are a Distinct Regenerative Phenomenon in Hepatocellular Carcinoma (HCC) Patients after Transarterial Chemoembolization.

Transarterial chemoembolization (TACE) is increasingly used in patients with hepatocellular carcinoma (HCC), the most frequent primary liver tumor. At...

Development and validation of a CT-based deep learning radiomics model for differentiating parathyroid adenoma from atypical parathyroid tumor/parathyroid carcinoma.

BACKGROUND: Accurate preoperative differentiation between parathyroid adenoma (PA) and atypical parathyroid tumor (APT) or parathyroid carcinoma (PC) ...