Article ; Online: Early Detection of Pancreatic Cancer.
Oncology research and treatment
2023 Volume 46, Issue 6, Page(s) 259–267
Abstract: Background: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy that is increasingly common. Screening for pancreatic cancer is not well established but might increase the chance of detection in early stages.: Summary: We conducted a ... ...
Abstract | Background: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy that is increasingly common. Screening for pancreatic cancer is not well established but might increase the chance of detection in early stages. Summary: We conducted a literature search to summarize current recommendations and to give an overview of patient groups that may benefit from screening. In the general population, screening is not recommended because the low prevalence of PDAC renders any diagnostic tests non-predictive and because there is no direct evidence that links early diagnosis to improved survival. To date, novel approaches like liquid biopsies and molecular markers are not yet able to improve screening in unselected individuals but offer promising potential. Screening efficiency increases considerably with increasing pretest probability. Therefore, the best way to improve early diagnosis is identifying high-risk individuals. Key messages: There are well-defined populations with distinct genetic alterations with an increased risk for pancreatic cancer. Those may be screened with common diagnostic methods. In addition, new-onset diabetes is increasingly recognized as an early symptom, especially in elderly patients with weight loss. |
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MeSH term(s) | Humans ; Aged ; Early Detection of Cancer/methods ; Pancreatic Neoplasms/genetics ; Carcinoma, Pancreatic Ductal/genetics ; Biomarkers, Tumor/genetics ; Pancreatic Neoplasms |
Chemical Substances | Biomarkers, Tumor |
Language | English |
Publishing date | 2023-04-25 |
Publishing country | Switzerland |
Document type | Journal Article ; Review |
ZDB-ID | 2760274-6 |
ISSN | 2296-5262 ; 2296-5270 |
ISSN (online) | 2296-5262 |
ISSN | 2296-5270 |
DOI | 10.1159/000530790 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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