Advances in the Early Detection of Hepatobiliary Cancers.
Hasan Cagrı YıldırımGozde KavgaciElvin ChalabiyevOmer DizdarPublished in: Cancers (2023)
Hepatocellular cancer (HCC) and biliary tract cancers (BTCs) have poor survival rates and a low likelihood of a cure, especially in advanced-stage disease. Early diagnosis is crucial and can significantly improve survival rates through curative treatment approaches. Current guidelines recommend abdominal ultrasonography (USG) and alpha-fetoprotein (AFP) monitoring for HCC screening in high-risk groups, and abdominal USG, magnetic resonance imaging (MRI), and magnetic resonance cholangiopancreatography (MRCP) monitoring for biliary tract cancer. However, despite this screening strategy, many high-risk individuals still develop advanced-stage HCC and BTC. Blood-based biomarkers are being developed for use in HCC or BTC high-risk groups. Studies on AFP, AFP-L3, des-gamma-carboxy prothrombin, glypican-3 (GPC3), osteopontin (OPN), midkine (MK), neopterin, squamous cell carcinoma antigen (SCCA), Mac-2-binding protein (M2BP), cyclic guanosine monophosphate (cGMP), and interleukin-6 biomarkers for HCC screening have shown promising results when evaluated individually or in combination. In the case of BTCs, the potential applications of circulating tumor DNA, circulating microRNA, and circulating tumor cells in diagnosis are also promising. These biomarkers have shown potential in detecting BTCs in early stages, which can significantly improve patient outcomes. Additionally, these biomarkers hold promise for monitoring disease progression and evaluating response to therapy in BTC patients. However, further research is necessary to fully understand the clinical utility of these biomarkers in the diagnosis and management of HCC and BTCs.
Keyphrases
- circulating tumor
- circulating tumor cells
- magnetic resonance imaging
- magnetic resonance
- squamous cell carcinoma
- contrast enhanced
- papillary thyroid
- cell free
- binding protein
- end stage renal disease
- prognostic factors
- ejection fraction
- newly diagnosed
- chronic kidney disease
- squamous cell
- computed tomography
- risk assessment
- climate change
- diffusion weighted imaging
- mesenchymal stem cells
- childhood cancer
- patient reported outcomes
- radiation therapy
- big data
- rectal cancer
- human health
- deep learning
- protein kinase
- smoking cessation
- artificial intelligence
- single molecule