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Table 5 Four example sentences for the four evidence types extracted by CIViCmine. The associated PubMed IDs are also shown for reference

From: Text-mining clinically relevant cancer biomarkers for curation into the CIViC database

TypePMIDSentence
Diagnostic29214759JAK2 V617F is the most common mutation in myeloproliferative neoplasms (MPNs) and is a major diagnostic criterion.
Predictive28456787In non-small cell lung cancer (NSCLC) driver mutations of EGFR are positive predictive biomarkers for efficacy of erlotinib and gefitinib.
Predisposing28222693Our study suggests that one BRCA1 variant may be associated with increased risk of breast cancer.
Prognostic28469333Overexpression of Her2 in breast cancer is a key feature of pathobiology of the disease and is associated with poor prognosis.