{"id":341,"date":"2012-12-12T08:05:24","date_gmt":"2012-12-12T13:05:24","guid":{"rendered":"http:\/\/www.admin.acceleratingscience.com\/proteomics\/proteomics-tumor-profiling-progress-in-individualized-medicine\/"},"modified":"2017-08-30T14:45:14","modified_gmt":"2017-08-30T14:45:14","slug":"proteomics-tumor-profiling-progress-in-individualized-medicine","status":"publish","type":"post","link":"https:\/\/www.thermofisher.com\/blog\/proteomics\/proteomics-tumor-profiling-progress-in-individualized-medicine\/","title":{"rendered":"Proteomics Tumor Profiling: Progress in Individualized Medicine"},"content":{"rendered":"

There is a strong need for proteomics in both clinical and research settings. Even as costs of proteome-wide screen decline, proteomic screens remain difficult to execute and interpret in a clinical setting. However, Sandberg et al. developed a multivariate analysis of proteomics tumor data to group vulvar cancer into two groups \u2014 related and unrelated to human papilloma virus (HPV) \u2014 based on the disruption of biochemical pathways.1<\/sup><\/p>\n

Each patient is unlikely to have a completely unique phenotype, as far as optimal treatment is concerned. Levels of a single protein can be highly variable accross experimental runs and between patients; grouping tumor phenotypes using a cluster of proteins or biochemical pathways offers numerous advantages. Separation of proteins \u2014 by 2D gel electrophoresis<\/a> or liquid chromatography \u2014 and identification \u2014 via tandem mass spectrometry \u2014 are still variable within repetitions of a single sample and between related samples. Proteomic screening methodology and the community’s knowledge remains focused on the discovery of biomarkers and relationships between pathway disruption and clinical outcome.2<\/sup><\/p>\n

Furthermore, cells in a tumor do not maintain a clonal relationship. Gerlinger et al. found that genomic mutations varied highly between multiple biopsies of a single tumor. Comparison of multiple biopsies found that 63%-69% of mutations were not found in all biopsies. In particular, genetic signatures of positive and negative clinical outcome were found in different regions of the same tumor.3<\/sup><\/p>\n

Though this variability complicates research and clinical use of proteomics tumor methods, the variability itself may be clinically relevant. Park et al. found that the variability of proteomic and genomic signatures in breast tumors correlated with progression and clinical outcome. High levels of tumor variability were correlatd with a poorer clinical outcome. It is likely that the rate of mutation is increased in advanced-stage or aggressive tumors, underlying this association.4<\/sup><\/p>\n

It remains to be seen whether proteomics tumor methodology will advance to the point of allowing precise tailoring of treatment to a patient’s tumor phenotype. However, the proteome remains the most proximal means of evaluating activation of cancer-causing pathways, able to directly analyze protein phosphorylation and other signatures inaccessible to genomic methods.5<\/sup><\/p>\n

References<\/strong><\/p>\n

\n

1. Sandberg, A., et al. (2012) ‘Tumor proteomics by multivariate analysis on individual pathway data for characterization of vulvar cancer phenotypes<\/a>‘, Molecular and Cellular Proteomics, 11 (7), (p. M112.016998)<\/p>\n

2. Brewis, I. and Brennan, P. (2010) ‘Proteomics technologies for the global identification and quantification of proteins<\/a>‘, Advances in Protein Chemistry and Structural Biology, 80, (pp. 1-44)<\/p>\n

3. Gerlinger, M., et al. (2012) ‘Intratumor heterogeneity and branched evolution revealed by multiregion sequencing<\/a>‘, New England Journal of Medicine, 366 (10), (pp. 883-892)<\/p>\n

4. Park, S., et al. (2010) ‘Cellular and genetic diversity in the progression of in situ human breast carcinomas to an invasive phenotype<\/a>‘, The Journal of Clinical Investigation, 120 (2), (pp. 636-644)<\/p>\n

5. Zanivan, S., et al. (2008) ‘Solid tumor proteome and phosphoproteome analysis by high resolution mass spectrometry<\/a>‘, Journal of Proteome Research, 7 (12), (pp. 5314-5326)<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

There is a strong need for proteomics in both clinical and research settings. Even as costs of proteome-wide screen decline, proteomic screens remain difficult to execute and interpret in a clinical setting. However, Sandberg et al. developed a multivariate analysis of proteomics tumor data to group vulvar cancer into two groups \u2014 related and unrelated<\/p>\n","protected":false},"author":15,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[3],"tags":[406,407,408,409],"division":[],"class_list":{"0":"post-341","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-cancer-proteomics","7":"tag-clinical-proteomics","8":"tag-expression-profiling","9":"tag-hpv","10":"tag-vulvar-cancer","11":"entry"},"_selected_authors":"","_selected_reviewers":"","acf":[],"yoast_head":"\nProteomics Tumor Profiling: Progress in Individualized Medicine - Accelerating Proteomics<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.thermofisher.com\/blog\/proteomics\/proteomics-tumor-profiling-progress-in-individualized-medicine\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Proteomics Tumor Profiling: Progress in Individualized Medicine\" \/>\n<meta property=\"og:description\" content=\"There is a strong need for proteomics in both clinical and research settings. 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