Breast Cancer

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 stratification and response to neoadjuvant chemotherapy (NAC). We sought to define the biological basis and clinical utility of a bladder cancer-associated ten-gene signature for predicting prognosis and therapeutic response. METHODS: Bulk transcriptomic data fro...

[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 clinically node-negative patients, evidence supports sentinel lymph node biopsy (SLNB) after NAT; among human epidermal growth factor receptor 2(HER2)-positive and triple-negative breast cancer patients achieving breast pathological complete response, the ri...

UMCA-Net: Uncertainty-aware multi-stage cross-attention for cost-aware multi-omics data classification.

Multi-omics data integration holds great promise for precision medicine, yet its clinical adoption is hindered by high acquisition costs and the compl...

Validating the Utility of Super-Resolution for Downstream Tasks in Periapical Films.

INTRODUCTION AND AIMS: Periapical radiography is widely used in dental practice, but its diagnostic yield is often compromised by motion artefacts, se...

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...

Artificial intelligence (AI) uses in stereotactic radiosurgery (SRS): diagnosis with brain metastasis (BM) - A systematic review.

BACKGROUND: Brain metastases (BM) are the most common intracranial tumors in adults, and stereotactic radiosurgery (SRS) has become a mainstay of mana...

Linear screening and machine learning to identify suitable candidates for active breathing control after mastectomy in left-sided breast cancer.

PURPOSE: To evaluate the dosimetric benefit of deep inspiration breath-hold (DIBH) using the Active Breathing Coordinator (ABC) for left-sided breast ...

Screening of shared molecular markers between cervical cancer and major depressive disorder and the mechanism of CRAT/CLIC4 regulating EMT in cervical cancer cells.

BACKGROUND: Cervical cancer (CC) ranks among the most prevalent malignant neoplasms affecting women worldwide. Tumor recurrence, distant metastases, a...

Bioinformatics reveals the prognostic potential of manganese metabolism-related genes in lung adenocarcinoma.

Manganese metabolism may be involved in the malignant progression of lung adenocarcinoma (LUAD). Clarifying the roles of manganese metabolism-related ...

Exosomes in cancer drug resistance: dual roles in therapy failure and emerging precision therapeutics.

Exosomes play a key role in cancer, functioning both as drivers of drug resistance and as tools for therapy. Tumor-derived exosomes facilitate interce...

Predicting breast cancer pathological complete response with clinical and imaging data.

INTRODUCTION: Pathological complete response (pCR) is a key prognostic indicator in breast cancer (BC) patients receiving neoadjuvant chemotherapy (NA...

UK recommendations for Ki-67 immunohistochemical staining and interpretation in breast cancer.

Ki-67 is a well-established marker of tumour proliferation and an important prognostic and predictive biomarker in breast cancer, particularly in horm...

Tumor cells escape from therapy-induced senescence: from molecular mechanisms to targeted intervention.

Tumor recurrence represents a significant challenge in the field of tumor therapy, severely affecting patients' survival rates and quality of life. Ev...

PanMB2-Net: a deep learning framework for preoperative MB2 canal risk assessment on panoramic radiographs.

OBJECTIVES: This study aimed to develop and validate a clinically motivated artificial intelligence framework for preoperative risk assessment of the ...

Metabolic signatures of triple-negative breast cancer.

Triple-negative breast cancer (TNBC), being one of the most aggressive subtypes of breast malignancies, is characterized by poor prognosis and limited...

Radiation-induced erectile dysfunction in prostate cancer: A systematic review of pathophysiology, clinical radiobiology, and predictive modeling.

BACKGROUND: Radiation-induced erectile dysfunction (RIED) remains one of the most prevalent and distressing late toxicities among prostate cancer surv...

A Machine-Learning Model Using Pre-treatment Multimodal Data to Predict Sentinel Lymph Node Status After Neoadjuvant Chemotherapy in Operable Early-stage Breast Cancer.

RATIONALE AND OBJECTIVES: Although accurate preoperative prediction of sentinel lymph node (SLN) status in operable early-stage breast cancer (EBC) af...

Artificial intelligence for systemic therapy selection and prediction of outcomes in advanced gynecological cancers.

PURPOSE OF REVIEW: Advanced gynecologic cancers are treated broadly, with variable outcomes, even when selected by traditional precision oncology biom...

BoltzOmics: Predicting genetic variant effects on drug binding with Boltz-2.

A mechanistic understanding of how genetic variants alter drug-receptor binding is central to precision medicine, drug response prediction, and drug d...

Evaluating Risk Factors Associating With Late Recurrence After Low-Dose-Rate Brachytherapy for Prostate Cancer Using Machine Learning.

BACKGROUND: The Phoenix definition is widely used to define biochemical recurrence (BCR) after radiation therapy for prostate cancer; however, a defin...