Other Cancers

MoESurv: A Zero-Sample and Transferable Survival Prediction Framework for Rare Cancers Using Mixture of Experts.

MOTIVATION: Accurate survival prediction is crucial for personalized cancer treatment but remains challenging for rare cancers due to limited data. Most deep learning models require large training datasets, which are unavailable for rare cancer types, creating a significant clini-cal bottleneck. RESULTS: We propose MoESurv, a zero-sample survival prediction framework that leverages a mix-ture-of-e...

Centrosome-related gene SPHK1 drives bladder cancer progression and therapeutic vulnerability.

BACKGROUND: Centrosome-related genes (CRGs) regulate cell division and genomic stability and may influence tumor progression, but their prognostic and functional roles in bladder cancer (BLCA) are not fully defined. METHODS: We curated 698 CRGs and identified 12 prognostic genes to construct a centrosome-related signature score (CRSS). The prognostic value of CRSS was evaluated in TCGA and GSE1350...

Multi-omics and artificial intelligence nominate PCLAF as a prognostic and druggable target for hepatitis B virus-associated hepatocellular carcinoma.

BACKGROUND: PCLAF (PCNA clamp-associated factor) is a protein involved in DNA replication and DNA repair. Aberrant PCLAF expression has been reported ...

Deep Learning-Driven Anticancer Drug Discovery: Emodepside as a Potential Therapeutic Candidate for Triple-Negative Breast Cancer.

Triple-negative breast cancer (TNBC) is an aggressive breast cancer subtype with a poor prognosis. The absence of effective targeted therapies and end...

clinTALL: machine learning-driven multimodal subtype classification and treatment outcome prediction in pediatric T-ALL.

BACKGROUND: Childhood T-lineage acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic malignancy with poor prognosis. Differently from B-c...

Keratin gene expression signature predicts prognosis and immunotherapy efficacy in lung adenocarcinoma.

Keratins (KRTs) are intermediate filament proteins expressed in epithelial cells and serve as diagnostic cancer biomarkers. They serve pivotal roles i...

Enhancing venous thromboembolism risk prediction after immunotherapy for lung cancer.

Assessing venous thromboembolism (VTE) risk after immunotherapy remains important for lung cancer management. We analyzed 2,300 patients receiving fir...

EM-AWFNet: dual-branch adaptive weight fusion for lung cancer PET/CT classification.

Lung cancer (LC) is a malignant tumor that poses a serious threat to human health. Positron emission tomography/computed tomography (PET/CT) imaging, ...

Real-World Evidence-Based Study on Treatment-Free Remission in Chronic Myeloid Leukemia.

BACKGROUND: Treatment-free remission (TFR) has become a treatment goal for chronic myeloid leukemia (CML). This study aimed to define precise conditio...

Recent Advances in Immunotherapy for Breast Cancer: An Updated Review.

Immunotherapy has revolutionized the treatment landscape of breast cancer, particularly for triple-negative breast cancer (TNBC), yet primary and acqu...

[Etiological investigation of inflammatory orbital disease in patients seen in internal medicine].

Inflammatory orbital diseases are characterized by inflammation that may involve any structure of the orbit including lacrimal gland, and may represen...

Redefining breast cancer: therapeutic opportunities in HER2-low and emerging molecular subtypes.

Breast cancer classification has undergone significant evolution; however, the long-standing binary model distinguishing HER2-positive from HER2-negat...

Mandibular Angle Bone Appositions in Bruxism: A Deep Learning-Based Detection and Staging Study.

This study aims to automatically detect, classify, and stage bone apposition changes in the mandibular angle region associated with bruxism using pano...

A bladder cancer-associated gene signature for exploratory qPCR-based survival stratification in NAC-Treated muscle-invasive bladder cancer.

BACKGROUND: Muscle-invasive bladder cancer (MIBC) is an aggressive and heterogeneous malignancy with limited biomarkers to guide patient stratificatio...

Enhancing lymph node metastases assessment in breast cancer post-neoadjuvant therapy using artificial intelligence-driven diagnostics.

BACKGROUND: Neoadjuvant therapy (NAT) is crucial for locally advanced breast cancer, but post-NAT lymph node assessment is challenging due to histolog...

[Optimized regional lymph node management after neoadjuvant therapy in breast cancer].

Neoadjuvant therapy (NAT) has strengthened systemic control in breast cancer and promoted precision de-escalation of axillary management. For clinical...

Novel opportunistic imaging biomarkers with AI-assisted sarcopenia assessment associated with survival after liver transplantation for hepatocellular carcinoma.

INTRODUCTION: The scarcity of donor organs necessitates the development of refined prognostic tools to optimize candidate selection and survival outco...

A Deep Learning AI Model for Histopathological Diagnosis and Grading of Mucoepidermoid Carcinoma of Salivary Glands (Diagnostic Accuracy Study).

PURPOSE: This study aims to evaluate the effectiveness of deep learning AI model in the diagnosis and grading of mucoepidermoid carcinoma. METHODS: We...

Interpretable machine learning for cardiovascular disease risk prediction in cancer survivors: development and internal validation.

BACKGROUND: Cardiovascular disease (CVD) is a major concern among cancer survivors. However, the intersection of cancer and CVD has only recently gain...

CT-Based Radiomic Features Predict Cervical Lymph Node Metastasis in Dogs With Oral Malignancy: A Machine Learning Study Using Leave-One-Patient-Out Cross-Validation.

Accurate preoperative identification of cervical lymph node (LN) metastasis is essential for staging and treatment planning in dogs with oral malignan...