Other Cancers

New Evidence in Heart Failure: 2026 Update.

Heart failure (HF) remains a major cause of morbidity, mortality, impaired quality of life and healthcare expenditure worldwide. The global burden of HF continues to increase due to population aging, improved survival, and the growing prevalence of cardiovascular, renal, and metabolic comorbidities. Simultaneously, the pace of scientific progress in HF has accelerated considerably. Recent advances...

Generative AI-enabled neoantigen vaccine engineering: From tumor antigen discovery to personalized construct design and translational validation.

Neoantigen vaccines have rekindled interest in therapeutic cancer vaccination, yet their clinical efficacy remains constrained by imperfect antigen prioritization, incomplete modeling of immunogenicity, tumor heterogeneity, and immune evasion mechanisms. Current computational pipelines are dominated by discriminative models that rank pre-existing mutant peptides based on features related to HLA bi...

Research progress in traditional Chinese medicine for lymphoma: multi-pathway and multi-drug combination approaches.

OBJECTIVES: Lymphoma is a prevalent hematologic malignancy with complex pathogenesis involving dysregulated signaling pathways and high treatment resi...

Agreement in Staging and Treatment Recommendations Among Clinicians, Text-Only Clinicians, DeepSeek-V3, and ChatGPT-4o for Nasopharyngeal Carcinoma Patients.

PURPOSE: With AI tools being increasingly utilized for medical inquiries, this study evaluated the agreement between clinicians, text-only clinicians,...

Applications of Deep Learning in Endocrine Neoplasms.

Machine learning methods have been growing in prominence across all areas of medicine. In pathology, recent advances in deep learning (DL) have enable...

Dedicated Endoscopy for Barrett's Oesophagus With Higher Dysplasia Yield May Reduce Seattle Protocol Biopsies: Results From UK Multicentre Study.

BACKGROUND: Dedicated service for Barrett's oesophagus (BO) surveillance may be more effective than conventional service, according to some single cen...

Peptide Therapeutics for Solid Tumors: Functional Classes, AI-Enhanced Discovery and Clinical Advances.

Solid tumors, the most prevalent form of malignancy, pose therapeutic challenges distinct from hematologic malignancies due to their complex biology, ...

Harnessing Artificial Intelligence to Strengthen Acute and Critical Care Nursing Practice: A Systematic Review.

BACKGROUND: Artificial intelligence (AI) is reshaping clinical decision support systems (CDSSs). In acute and critical care, nurses provide continuous...

Beyond maximum grade: key regulatory considerations in adverse event reporting.

The therapeutic landscape of haematological malignancies has evolved rapidly with the introduction of targeted therapies, immunotherapies, and cell-ba...

Machine learning-based classification model to distinguish tumor and tumor-free samples using synthetic plasma proteomic dataset.

BACKGROUND: Tumor-Specific Peptides (TSPs) and Tumor-associated Overexpressed Proteins (TOPs) are promising biomarkers for cancer diagnosis and monito...

Multi-level Transcriptomic and Machine-learning Analyses Identify MZT1 as a Proliferation-associated Prognostic Marker in Lung Adenocarcinoma.

BACKGROUND/AIM: Lung adenocarcinoma (LUAD) exhibits substantial molecular heterogeneity and variable clinical outcomes, highlighting the need for biom...

Artificial intelligence-assisted design of MAGE-A4 ×CD16 T-cell receptor-like natural killer cell engagers.

The cancer-testis antigen MAGE-A4 is an attractive immunotherapy target due to its high expression in various malignancies and restricted expression i...

Mechanistic and Clinical Perspectives on Traditional Chinese Medicine in Thyroid Cancer Management.

Thyroid cancer is one of the most prevalent malignancies of the endocrine system, comprising various subtypes such as papillary thyroid carcinoma (PTC...

Integrated pan-cancer analysis reveals a cancer-associated fibroblast oxidative stress response signature predicting immunotherapy response and prognosis.

Oxidative stress plays a significant regulatory role in tumor immune responses and can influence the efficacy of immunotherapy. Accordingly, therapeut...

Cancer-associated fusion transcripts: mechanisms, functional roles, and clinical implications.

Fusion transcripts are hybrid RNA molecules generated through genomic rearrangements or RNA-level fusion mechanisms. They represent important molecula...

Silencing SLC52A2 promotes tertiary lymphoid structure formation and inhibits IL-17 pathway to ameliorate melanoma progression.

Tertiary lymphoid structure (TLS) correlates with improved prognosis in melanoma. The role of solute carrier family 52 member A2 (SLC52A2) in mediatin...

A Deep Learning Framework to Classify Oral Squamous Cell Carcinoma arising in Oral Submucous Fibrosis using Whole-slide Images.

OBJECTIVES: Oral submucous fibrosis (OSF) is a chronic and progressive potentially malignant disorder with an increased risk of transformation to oral...

Graph-Based Neural Network for Malignancy Detection in Breast Ultrasound Images using Medically Significant Features.

OBJECTIVE: Breast ultrasound imaging is widely used for the early detection of malignant breast lesions. Although deep learning models have shown stro...

Three current approaches to preclinical oral squamous cell carcinoma research: a practical, stepwise framework integrating cell lines, organoids, and animal models.

Oral squamous cell carcinoma (OSCC) continues to be associated with a poor prognosis despite recent advances in surgical and adjuvant treatment. Altho...

Exploratory immunomonitoring during radiochemotherapy in HNSCC and machine-learning reveal immune parameters associated with disease-free survival.

Immunological biomarkers are increasingly relevant for personalized cancer treatment, but peripheral blood-derived biomarkers are not yet used to guid...