Aims: Tumour markers including carcinoembryonic antigen (CEA) or carbohydrate antigen 19-9 (CA19-9) are frequently determined at the time of diagnosis in patients with pancreatic cancer. Several studies indicate a prognostic relevance of these markers in pancreatic cancer, but space for improvement with regard to the predictive accuracy and ability is given. In this work, the main focus is on mathematical combinations of these two tumour markers in order to validate an improvement of prognostic test results in terms of sensitivity and specificity.
Methods: This retrospective study includes 393 patients with pancreatic cancer, who were treated between the years 2005 and 2012 at the Division of Oncology, Medical University of Graz, Austria. The goal of this study was to explore whether an appropriate combination of two tumour markers leads to a statistically significant improvement of the prognostic prediction.
Results: Receiver operating characteristic curves comparison analyses with the classification variable cancer-specific survival showed that the mathematical product of two tumour markers (TM(product)= (CEA×CA19-9); area under the curve (AUC)=0.727; 95% CI 0.680 to 0.770) is significantly better than CEA alone (AUC=0.644; 95% CI 0.594 to 0.691; p=0.003) but not significant compared with CA19-9 (AUC=0.710; 95% CI 0.662 to 0.754; p=0.1215). A linear combination of CEA and CA19-9 (TM(linear)=(85×CEA+CA19-9); AUC=0.748; 95% CI 0.702 to 0.790) is significantly better than CEA (p<0.0001) as well as CA19-9 alone (p=0.0304).
Conclusions: Mathematical combinations of pretherapeutic tumour markers CEA and CA19-9 are feasible and can significantly improve the prognostic prediction in patients with pancreatic cancer.
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http://dx.doi.org/10.1136/jclinpath-2014-202451 | DOI Listing |
Bioelectromagnetics
January 2025
Micropropulsion and Nanotechnology Laboratory, School of Engineering and Applied Science, George Washington University, Washington, DC, USA.
Cancer remains a formidable global health challenge, necessitating the development of innovative diagnostic techniques capable of early detection and differentiation of tumor/cancerous cells from their healthy counterparts. This review focuses on the confluence of advanced computational algorithms with noninvasive, label-free impedance-based biophysical methodologies-techniques that assess biological processes directly without the need for external markers or dyes. This review elucidates a diverse array of state-of-the-art impedance-based technologies, illuminating distinct electrical signatures inherent to cancer vs healthy tissues.
View Article and Find Full Text PDFJ Exp Clin Cancer Res
January 2025
Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
Background: Bone-invasive Pituitary Neuroendocrine Tumors (BI PitNETs) epitomize an aggressive subtype of pituitary tumors characterized by bone invasion, culminating in extensive skull base bone destruction and fragmentation. This infiltration poses a significant surgical risk due to potential damage to vital nerves and arteries. However, the mechanisms underlying bone invasion caused by PitNETs remain elusive, and effective interventions for PitNET-induced bone invasion are lacking in clinical practice.
View Article and Find Full Text PDFEur J Med Res
January 2025
Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
Background: Histone H2B is highly expressed in many types of cancers and is involved in cancer development. H2B clustered histone 9 (H2BC9), a member of the H2B family, plays critical roles in gene expression regulation, chromosome structure, DNA repair stability, and cell cycle regulation. However, the diagnostic and prognostic value of H2BC9 in head and neck squamous cell carcinoma (HNSCC) remains unclear.
View Article and Find Full Text PDFSci Rep
January 2025
State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Pathology, Peking University Cancer Hospital and Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China.
Delta-like protein (DLL3) is a novel therapeutic target. DLL3 expression in gastroenteropancreatic neuroendocrine tumors (GEP-NECs) is poorly understood, complicating the distinction between well-differentiated neuroendocrine tumors G3 (NET G3) and poorly differentiated NEC. DLL3 immunohistochemistry (IHC) was performed on 248 primary GEP-NECs, correlating with clinicopathological parameters, NE markers, PD-L1, Ki67 index, and prognosis.
View Article and Find Full Text PDFSci Rep
January 2025
Departments of Breast Surgery, First Affiliated Hospital, Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China.
The impact of mitochondrial and lysosomal co-dysfunction on breast cancer patient outcomes is unclear. The objective of this study is to develop a predictive machine learning (ML) model utilizing mitochondrial and lysosomal co-regulators in order to provide a foundation for future studies focused on breast cancer (BC) patients' stratification and personalized interventions. Firstly, Differences and correlations of mitochondrial and lysosome related genes were screened and validated by differential analysis, copy number variation (CNV), single nucleotide polymorphism (SNPs) and correlation analysis.
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