We have applied a serologic proteomic workflow involving three complementary MS approaches to a tissue-specific Kras(G12D) -knockin mouse model of pancreatic cancer that consistently forms precancerous lesions by 4 months of age. The three proteomics applications were highly complementary and allowed us to survey the entire range of low to high molecular weight serologic proteins. Combined, we identified 121 (49↓, 72↑) unique and statistically relevant serologic biomarkers with 88% previously reported to be associated with cancer and 38% specifically correlated with pancreatic cancer.
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