Bioinformatics analysis uncovers an exosomal gene signature in pancreatic cancer patients, highlighting novel non-invasive prognostic biomarkers.
Pancreatic cancer is a devastating disease with poor prognosis. Accumulating evidence has shown that exosomes and their cargo have the potential to mediate the progression of pancreatic cancer and are promising non-invasive biomarkers for the early detection and prognosis of this malignancy. This study aimed to construct a gene signature from tumor-derived exosomes with high prognostic capacity for pancreatic cancer using bioinformatics analysis.
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Wang et al. (2024) studied this question.
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