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On the model study of serum amyloid A (SAA), we employed nanoprobe\u2010based affinity mass spectrometry for enrichment, identification and quantitation of SAA variants from serum of 105 gastric cancer patients in comparison with 54 gastritis patients, 54 controls, and 120 patients from other cancer. The result revealed surprisingly heterogeneous and most comprehensive SAA bar code to date, which comprises 24 SAA variants including SAA1\u2010 and SAA2\u2010encoded products, polymorphic isoforms, N\u2010terminal\u2013truncated forms, and three novel SAA oxidized isotypes, in which the variant\u2010specific peptide sequence were also confirmed by LC\u2010MS\/MS. A diagnostic model was developed for dimension reduction and computational classification of the 24 SAA\u2010variant bar code, providing good discrimination (AUC\u00a0=\u00a00.85\u00a0\u00b1\u00a03.2E\u22123) for differentiating gastric cancer group from gastritis and normal groups (sensitivity, 0.76; specificity, 0.81) and was validated with external validation cohort (sensitivity, 0.71; specificity, 0.74). Our platform not only shed light on the occurrence and modification extent of under\u2010represented serum protein variants in cancer, but also suggested a new concept of diagnostic platform by serum protein variant profile.<\/jats:p>","DOI":"10.1002\/pmic.201600356","type":"journal-article","created":{"date-parts":[[2017,5,11]],"date-time":"2017-05-11T09:33:05Z","timestamp":1494495185000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Exploring the expression bar code of SAA variants for gastric cancer detection"],"prefix":"10.1002","volume":"17","author":[{"given":"Deng\u2010Chyang","family":"Wu","sequence":"first","affiliation":[{"name":"Division of Gastroenterology, Department of Internal Medicine, Kaohsiung Medical University Hospital Kaohsiung Medical University  Kaohsiung Taiwan"},{"name":"Cancer Center Kaohsiung Medical University Hospital  Kaohsiung 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