Other Cancers

Integrative machine learning reveals interplay between epithelial and endothelial cells elevates mixed heavy metal-related colorectal cancer risk.

Heavy metal contamination has become an emerging global health concern, yet the promoting effects of mixed heavy metal exposure on colorectal cancer risk remains poorly understood. In this study, plasma concentrations of 25 heavy metals were obtained from an in-house elemental database comprising both colorectal cancer patients and healthy controls, and exposure concentrations were then defined ba...

Executive function profiles identify stable schizophrenia subtypes with distinct symptoms, biological markers and treatment responses: a cross-time clustering and validation study.

BACKGROUND: Executive function (EF) is a heterogeneous neuropsychological construct, and impairments in EF dimensions represent a core aspect of psychopathology in schizophrenia that varies across individual patients. Currently, how this inter-individual variability characterizes schizophrenia subgroups, along with their distinctions in clinical characteristics and prognostic outcomes, remains unc...

Machine learning-based prediction of 3-month mortality in elderly patients with non-small cell lung cancer and bone metastases.

Elderly patients with non-small cell lung cancer (NSCLC) and bone metastases face a dire prognosis, creating an urgent need for accurate short-term mo...

KIF23 in disease pathogenesis and its therapeutic and diagnostic potential.

BACKGROUND: Kinesin family member 23 (KIF23) is a microtubule-dependent motor protein essential for cytokinesis, organelle transport, and signaling pa...

Artematrolide F suppresses communication between hepatocellular carcinoma cells and hepatic stellate cells to attenuate liver cancer progression through targeting YKT6.

Hepatocellular carcinoma (HCC) remains a highly malignant cancer with limited treatment options. HCC cells (HCCs) activate hepatic stellate cells (HSC...

Deep learning in the diagnosis, staging, and prognosis of osteonecrosis of the femoral head: a systematic review.

BACKGROUND: Osteonecrosis of the femoral head (ONFH) is a progressive ischemic bone disorder that often leads to structural collapse and early arthrop...

Liquid Biopsy in Modern Oncology: Advances, Challenges, and Future Perspectives in Early Cancer Detection, Minimal Residual Disease, and Dynamic Patient Monitoring.

PURPOSE OF REVIEW: Liquid biopsy has emerged as a minimally invasive approach to overcome the limitations of tissue biopsy in oncology. This review ai...

Molecular and spatial differences in the tumor microenvironment of high-grade serous ovarian cancers with short versus long-term survival.

OBJECTIVE: Survival of patients diagnosed with advanced-stage high-grade serous ovarian cancer (HGSOC) varies widely. Understanding the biological and...

Explainable machine learning identifies features and thresholds predictive of immunotherapy response.

The identification of reliable predictors for immunotherapy response remains a critical challenge in precision oncology. Here, we integrated patient c...

From sleep staging to spindle detection: a case study on end-to-end automated sleep analysis.

Automation of sleep analysis, including both macrostructural (sleep stages) and microstructural (e.g., sleep spindles) elements, promises to enable la...

Application Value of a nomogram integrating contrast-enhanced CT radiomics and clinical indicators in evaluating lymph node metastasis in pediatric peripheral neuroblastoma.

OBJECTIVE: To construct a machine learning model using contrast-enhanced CT radiomics and clinical indicators, aiming to improve the diagnostic accura...

[Application analysis of the artificial intelligence model DeepSeek in breast cancer treatment decision-making].

Objective: To evaluate the accuracy and feasibility of applying the DeepSeek artificial intelligence model in clinical decision-making for breast canc...

An automatic detection model for spread through air spaces in postoperative pathological sections based on deep learning in NSCLC.

Spread through air spaces (STAS) is recognized as an aggressive pattern of invasion in lung cancer and has been associated with poorer survival outcom...

Integrative single-cell and bulk transcriptomic analysis identifies lesion-associated gene signatures for prognostic stratification and therapeutic guidance in head and neck squamous cell carcinoma.

BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous malignancy with poor prognosis and variable response to therapy. E...

Radiological staging clinical decision support model for rectal cancer lymph node metastasis detection on MRI.

BACKGROUND: Accurate staging of lymph node metastasis (LNM) is crucial for personalising rectal cancer treatment. Lymph nodes (LNs) are the most commo...

Early detection of gastric cancer with the assistance of cell-free DNA fragmentomics.

BACKGROUND: Gastric cancer remains one of the most prevalent malignancies globally. As early-stage gastric cancer is typically asymptomatic or present...

Biomarker-Guided Strategies for Tumor Vasculature: From Imaging Advances to Novel Therapeutic Interventions.

The tumor vasculature is a dynamic and heterogeneous component of the tumor microenvironment (TME) that influences tumor progression, immune infiltrat...

Longitudinal Plasma Proteomics Reveals an Immuno-thrombotic Signature that Predicts Radiation Pneumonitis in Lung Cancer.

PURPOSE: Radiation pneumonitis (RP) is a dose-limiting toxicity in lung cancer radiotherapy, often poorly predicted by static clinical and dosimetric ...

Advances in laboratory diagnostic studies of pheochromocytoma and paraganglioma.

Pheochromocytoma (PCC) and paraganglioma (PGL), collectively referred to as pheochromocytomas and paragangliomas (PPGLs), are rare neuroendocrine tumo...

Developments in the design and therapeutic applications of GSK3β inhibitors.

Glycogen synthase kinase-3β (GSK3β) has emerged as one of the most thoroughly validated therapeutic targets in modern drug discovery, with dysregulati...