N-glycomic identification of novel soft tissue prognostic biomarkers for oral cancer
Oral cancer: By combining semi-automated tissue homogenization on BeatBox® with high-resolution CE-LIF-based glycoanalysis, scientist from University of Debrecen and University of Pannonia created an efficient and sensitive workflow to identify novel glycobiomarkers in oral malignant lesions.
Deeper plasma proteome coverage enables identification of novel biomarkers and classification of diseases
Lung cancer: With ENRICH-iST, the coverage of the plasma proteome was improved by 2-fold, and an additional 21 upregulated biomarkers were identified in the samples collected from the non-small cell lung cancer (NSCLC) patients’ plasma.
Deeper plasma proteome coverage enables identification of novel biomarkers and classification of diseases
Colorectal cancer: ENRICH-iST provides a reliable, in-depth analysis of plasma with a clear distinction between colorectal patients and healthy donors.
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