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Coupled liquid biopsy and bioinformatics for pancreatic cancer early detection and precision prognostication.
Hou, Jun; Li, XueTao; Xie, Ke-Ping.
Afiliación
  • Hou J; The South China University of Technology School of Medicine, 510006, Guangzhou, China.
  • Li X; The South China University of Technology School of Medicine, 510006, Guangzhou, China.
  • Xie KP; The University of Texas MD Anderson Cancer Center Houston , Texas, USA. Kepingxie@gmail.com.
Mol Cancer ; 20(1): 34, 2021 02 16.
Article en En | MEDLINE | ID: mdl-33593396
ABSTRACT
Early detection and diagnosis are the key to successful clinical management of pancreatic cancer and improve the patient outcome. However, due to the absence of early symptoms and the aggressiveness of pancreatic cancer, its 5-year survival rate remains below 5 %. Compared to tissue samples, liquid biopsies are of particular interest in clinical settings with respect to minimal invasiveness, repeated sampling, complete representation of the entire or multi-site tumor bulks. The potential of liquid biopsies in pancreatic cancer has been demonstrated by many studies which prove that liquid biopsies are able to detect early emergency of pancreatic cancer cells, residual disease, and recurrence. More interestingly, they show potential to delineate the heterogeneity, spatial and temporal, of pancreatic cancer. However, the performance of liquid biopsies for the diagnosis varies largely across different studies depending of the technique employed and also the type and stage of the tumor. One approach to improve the detect performance of liquid biopsies is to intensively inspect circulome and to define integrated biomarkers which simultaneously profile circulating tumor cells and DNA, extracellular vesicles, and circulating DNA, or cell free DNA and proteins. Moreover, the diagnostic validity and accuracy of liquid biopsies still need to be comprehensively demonstrated and validated.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Pancreáticas / Biomarcadores de Tumor / Biología Computacional Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Mol Cancer Asunto de la revista: NEOPLASIAS Año: 2021 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Pancreáticas / Biomarcadores de Tumor / Biología Computacional Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Mol Cancer Asunto de la revista: NEOPLASIAS Año: 2021 Tipo del documento: Article País de afiliación: China