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- W2903770906 abstract "Cancer is often diagnosed at late stages when the chance of cure is relatively low and although research initiatives in oncology discover many potential cancer biomarkers, few transition to clinical applications. This review addresses the current landscape of cancer biomarker discovery and translation with a focus on proteomics and beyond. Areas covered: The review examines proteomic and genomic techniques for cancer biomarker detection and outlines advantages and challenges of integrating multiple omics approaches to achieve optimal sensitivity and address tumor heterogeneity. This discussion is based on a systematic literature review and direct participation in translational studies. Expert commentary: Identifying aggressive cancers early on requires improved sensitivity and implementation of biomarkers representative of tumor heterogeneity. During the last decade of genomic and proteomic research, significant advancements have been made in next generation sequencing and mass spectrometry techniques. This in turn has led to a dramatic increase in identification of potential genomic and proteomic cancer biomarkers. However, limited successes have been shown with translation of these discoveries into clinical practice. We believe that the integration of these omics approaches is the most promising molecular tool for comprehensive cancer evaluation, early detection and transition to Precision Medicine in oncology." @default.
- W2903770906 created "2018-12-22" @default.
- W2903770906 creator A5012246358 @default.
- W2903770906 creator A5078939311 @default.
- W2903770906 date "2018-12-24" @default.
- W2903770906 modified "2023-10-02" @default.
- W2903770906 title "Cancer biomarker discovery and translation: proteomics and beyond" @default.
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- W2903770906 doi "https://doi.org/10.1080/14789450.2019.1559062" @default.
- W2903770906 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6635916" @default.
- W2903770906 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30556752" @default.
- W2903770906 hasPublicationYear "2018" @default.
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