Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND: Portal vein tumor thrombus is a lethal complication of HCC for which effective biomarkers are urgently needed. METHODS: Through proteomic profiling, functional and mechanistic assays, and machine learning-based evaluation of serum NSUN6 in 472 HCC patients with external validation (n = 98), we characterized an epitranscriptomic regulator of HCC metastasis. RESULTS: NSUN6 was downregula...
INTRODUCTION: The search for actionable genetic targets in cancer has evolved substantially over the past decade. Earlier approaches were focused on single genes or individual molecular alterations, but this is insufficient to capture tumor complexity in vivo. Cancer is influenced not only by genomic changes but also by transcriptional plasticity, epigenetic regulation, protein activity, metabolic...
OBJECTIVE: The aim of this study was to integrate multimodal intratumoral and peritumoral ultrasound radiomic features with clinical data to construct...
OBJECTIVES: This study aimed to develop and validate a CBCT-based automated system for assessing radiographic alveolar bone loss (RBL) to improve the ...
Over the past three decades, adenosine signalling has emerged as a fundamental regulatory system controlling immune responses, tissue homeostasis, met...
Triple-negative breast cancer (TNBC), being one of the most aggressive subtypes of breast malignancies, is characterized by poor prognosis and limited...
Hypoxia, a hallmark of solid tumors, drives malignant progression and represents a major therapeutic challenge. Metabolic reprogramming induced by hyp...
Late distant recurrence (DR) remains a persistent risk in hormone receptor-positive (HR+) early breast cancer after completion of 5 years of endocrine...
BACKGROUND AND AIMS: Tertiary lymphoid structures (TLS) are associated with heterogeneous outcomes in hepatocellular carcinoma (HCC), but whether thei...
OBJECTIVE: Lateral cervical lymph node metastasis (LLNM) is missed in up to 30% of papillary thyroid carcinoma (PTC) patients pre-operatively, leading...
PURPOSE: Autophagy is increasingly recognized as a promising therapeutic target in prostate cancer (PCa), yet its research landscape has not been syst...
BACKGROUND: Current guidelines recommend pancolonic chromoendoscopy (pCE) over white light endoscopy (WLE) alone for colorectal neoplasia (CRN) detect...
INTRODUCTION: Nasopharyngeal carcinoma (NPC) is rare in Europe, and emerging data suggest poorer outcomes in Caucasian patients compared with Asian po...
INTRODUCTION: OSTC and TUBA1C drive the malignant progression of lung adenocarcinoma (LUAD) through the modulation of N-glycosylation and the PI3K/AKT...
BACKGROUND: EGFR-mutant lung adenocarcinoma (LUAD) exhibits significant prognostic heterogeneity despite the efficacy of tyrosine kinase inhibitors. T...
Cancer vaccines are an attractive immunotherapeutic approach, and numerous clinical trials are ongoing. However, most candidates have not achieved sta...
The expanding availability of multi-omics profiling and advances in artificial intelli-gence (AI) and machine learning (ML) are changing precision onc...
BACKGROUND: Large language models (LLMs) and large reasoning models (LRMs) have shown excellent performance on medical benchmarks, although evaluation...
The therapeutic landscape of colorectal cancer (CRC) has evolved with the identification of molecular subtypes, including mismatch repair-deficient/mi...
BACKGROUND: Artificial intelligence (AI)-based computer-aided detection (CADe) systems improve adenoma detection in average-risk colorectal cancer scr...