Abstract:
Embodiments concern methods and compositions for evaluating a pancreatic cyst in a patient based on the expression levels of one or more miRNAs to determine whether the pancreatic cyst is a low or high risk lesion and in further need of treatment such as resection.
Abstract:
Embodiments concern methods and compositions for distinguishing benign from malignant thyroid tumors in a patient based on the expression levels of one or more miRNAs.
Abstract:
Embodiments concern methods and compositions for characterizing or evaluating neoplastic pancreatic cells using miRNAs that are measured and used in calculations to determine a risk score for a patient. The pancreatic cells may be characterized as mucinous cystic neoplasm (MCN), serous cystadenoma (SN), pancreatic ductal adenocarcinoma (PDAC), intraductal papillary mucinous neoplasm (IPMN) or a subtype thereof. Benign cells may be distinguished from pre-malignant or malignant pancreatic cells.
Abstract:
Embodiments are provided that relate to methods, systems, kits, computer-readable medium, and apparatuses comprising a computer-based variant calling model that incorporates the viable template count of the aliquot in calling a sequence of a target region based on a set of sequence reads.