Introduction Metabolomics is an emerging approach for early detection of cancer. Along with the development of metabolomics, high-throughput technologies and statistical learning, the …
Simple Summary A highly desirable approach to diagnose a human disease quickly and easily is to identify a chemical, protein, or antibody in a biofluid like blood or urine that is …
R Zhao, S Ren, C Li, K Guo, Z Lu, L Tian, J He… - Cancer …, 2023 - Wiley Online Library
Background Early detection of pancreatic ductal adenocarcinoma (PDAC) may improve the prognosis of patients. This study was to identify metabolic features of PDAC and to discover …
A Martín-Blázquez, C Jiménez-Luna, C Díaz… - Cancers, 2020 - mdpi.com
Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive and lethal cancers, with a 5-year survival rate of less than 5%. In fact, complete surgical resection …
KY Mehta, HJ Wu, SS Menon, Y Fallah, X Zhong… - Oncotarget, 2017 - ncbi.nlm.nih.gov
Pancreatic cancer (PC) is an aggressive disease with high mortality rates, however, there is no blood test for early detection and diagnosis of this disease. Several research groups …
YY Cao, K Guo, R Zhao, Y Li, XJ Lv, ZP Lu… - Digital …, 2023 - journals.sagepub.com
Background Diagnosis of pancreatic ductal adenocarcinoma (PDAC) is difficult due to the lack of specific symptoms and screening methods. Only less than 10% of PDAC patients are …
A Zhang, H Sun, G Yan, Y Han, XJ Wang - Med. Chem, 2014 - scholar.archive.org
Metabolomics is a rapidly growing field of research used in the identification and quantification of the small molecule metabolites within an organism, thereby providing …
S Urayama, W Zou, K Brooks… - … in Mass Spectrometry …, 2010 - Wiley Online Library
Poor outcome of pancreatic cancer necessitates development of an early diagnostic method to reduce mortality. No reliable early diagnostic test for pancreatic cancer detection has …
K Unger, KY Mehta, P Kaur, Y Wang, SS Menon… - Oncotarget, 2018 - ncbi.nlm.nih.gov
The availability of robust classification algorithms for the identification of high risk individuals with resectable disease is critical to improving early detection strategies and ultimately …