Other Cancers

Apparent diffusion coefficient radiomics for differentiating benign and malignant PI-RADS 3-5 prostate lesions: external validation.

PURPOSE: To develop and externally validate a simplified apparent diffusion coefficient (ADC)-based MRI radiomics model for differentiating benign and malignant Prostate Imaging Reporting and Data System (PI-RADS) 3-5 lesions and assess its incremental value beyond clinical predictors. METHODS: This retrospective multicenter study included 340 patients assigned to training (n = 182), internal test...

Multi-Omics-Driven Insights into Cancer Biology and Therapeutic Targeting.

The increasing biological complexity and heterogeneity of cancer have driven a shift in oncology drug discovery from single-target approaches toward system-level strategies capable of capturing multilayered disease regulation. Multi-omics technologies, including genomics, transcriptomics, proteomics, metabolomics, epigenomics, and microbiomics, have emerged as powerful tools for elucidating cancer...

Artificial intelligence for translational personalized neoantigen cancer vaccine development.

Personalized neoantigen cancer vaccine is a promising strategy for precision immunotherapy by targeting patient-specific and mutation-derived tumor an...

Knowledge-driven multimodal mutual learning for cell line-targeted anticancer peptide prediction.

MOTIVATION: As unique drugs positioned between small and macro molecules, anticancer peptides (ACPs) hold great potential in oncotherapy owing to thei...

Patient-Derived Organoid and Single-Cell Multiomics Reveal Evolution Driven by CEACAM6/KRT19-Mediated Heterogeneity.

Colorectal cancer (CRC) remains a leading cause of cancer mortality globally, with therapeutic efficacy hindered by tumor heterogeneity and drug resis...

Machine learning provides individualized prediction of outcomes after first complete remission without allo-HSCT consolidation in adult acute myeloid leukemia-A HARMONY study.

Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is a curative treatment option for a significant proportion of patients with acute myel...

Multi-omics, machine learning, and molecular simulation identify CD44 as a candidate target in endocrine-disrupting chemical-associated thyroid cancer progression.

Endocrine-disrupting chemicals (EDCs) are widely present in the environment and consumer products and may disturb thyroid hormone homeostasis. However...

Prognostic Models and Predictors of Recurrence in Resectable Colorectal Liver Metastases: A Systematic Review and Meta-analysis.

We systematically reviewed prognostic models for recurrence after curative-intent locoregional treatment of colorectal liver metastases (CRLM) and qua...

Machine learning-integrated explainable artificial intelligence for survival prediction in urothelial carcinoma with enfortumab vedotin: an exploratory real-world analysis.

BACKGROUND: Enfortumab vedotin (EV) has transformed treatment for advanced urothelial carcinoma (aUC), but outcomes vary. Machine learning (ML) with e...

Deep learning augmented pathological grading and intraductal carcinoma of the prostate signatures improve recurrence prediction after intensity-modulated radiation therapy.

Locally advanced prostate cancer (PCa) is associated with a high recurrence rate even after curative treatment. We aimed to develop a precise risk mod...

Machine Learning-Driven Risk Prediction Model in Transthyretin Amyloid Cardiomyopathy.

IMPORTANCE: Transthyretin cardiac amyloidosis (ATTR-CM) is associated with poor prognosis and significant morbidity and mortality, yet existing stagin...

Non-invasive detection and monitoring of oral squamous cell carcinoma and oral potentially malignant disorders: an umbrella review on diagnostic accuracy.

OBJECTIVES: Various non-invasive diagnostic techniques have been developed and assessed to improve early detection and monitoring of oral squamous cel...

Microphysiological immune-on-chip systems: engineering human immunity for precision immunotherapy, vaccine development, and autoimmune disease modelling.

Microphysiological immune-on-chip systems have emerged as transformative biomedical microdevices capable of recreating the structural, biochemical, an...

Lactylation-related immune-metabolic dysregulation defines prognostic and therapeutic stratification in lung adenocarcinoma.

BACKGROUND: Lactylation links lactate metabolism with inflammatory signaling and immune regulation in tumors. However, its cellular distribution and t...

Pan-tumor spatial transcriptomics reveals conserved properties of tumor organization.

Tumor microenvironments (TMEs) are compositionally and functionally heterogeneous, making it challenging to discover organizing structural principles....

Brain Tumor Classification from MRI Using Colormap-Based Vision Transformers on the BRISC2025 Dataset.

Accurate brain tumor classification from magnetic resonance imaging (MRI) is essential for supporting early diagnosis and treatment planning. While Vi...

Nanomaterial-based drug delivery systems: From intelligent delivery to clinical translation and precision nanomedicine.

Nanomaterial-based drug delivery systems (NDDS) have become enabling technologies for small-molecule reformulation, RNA medicines, vaccines, gene edit...

Comparable Predictive Performance of Non-VCTE-Based Machine Learning Model for HBV-Infected Hepatocellular Carcinoma Risk.

BACKGROUND: Accurate risk stratification for hepatocellular carcinoma (HCC) among chronic hepatitis B (CHB) patients remains challenging. Vibration-co...

A Validated, explainable machine learning-based preoperative risk model for microvascular invasion in hepatocellular carcinoma.

PURPOSE: This investigation aimed to develop and validate a diagnostic algorithm for preoperatively assessing the likelihood of microvascular invasion...

Ovarian borderline tumors and minimally invasive surgery: a narrative review.

Borderline ovarian tumors (BOTs) are a distinct subgroup of epithelial ovarian neoplasms that commonly affect women of reproductive age and are associ...