Screening protein isoforms predictive for cancer using immunoaffinity capture and fast LC-MS in PRM mode

使用免疫亲和捕获和 PRM 模式下的快速 LC-MS 筛选可预测癌症的蛋白质异构体

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作者:Antoine Lesur, Lina Ancheva, Yeoun Jin Kim, Guy Berchem, Jan van Oostrum, Bruno Domon

Conclusions and clinical relevance

Immunoaffinity purification combined with fast LC-MS detection for the detection of driver mutations in tissue and tumor biomarkers in plasma samples can assist clinicians to select an optimal therapeutic intervention for patients.

Purpose

We report an immunocapture strategy to extract proteins known to harbor driver mutations for a defined cancer type before the simultaneous assessment of their mutational status by MS. Such a method bypasses the sensitivity and selectivity issues encountered during the analysis of unfractionated complex biological samples. Experimental design: Fast LC separations using short nanobore columns hyphenated with a high-resolution quadrupole-orbitrap mass spectrometer have been devised to take advantage of fast MS cycle times in conjunction with sharp chromatographic peak widths to accelerate the sample analysis throughput. Such an analytical platform is well suited to analyze simple protein mixtures obtained after immunoaffinity enrichment.

Results

After establishing the technical performance of the platform, the method was applied to the quantitative profiling of cellular Ras and EGFR protein isoforms, as well as serum amyloid A isoforms in plasma. Conclusions and clinical relevance: Immunoaffinity purification combined with fast LC-MS detection for the detection of driver mutations in tissue and tumor biomarkers in plasma samples can assist clinicians to select an optimal therapeutic intervention for patients.

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