Onco-proteogenomics: Multi-omics level data integration for accurate phenotype prediction.
The overall goal of translational oncology is to identify molecular alterations indicative of cancer or of responsiveness to specific therapeutic regimens. While next-generation sequencing has played a pioneering role in this quest, the latest advances in proteomic technologies promise to provide a...
| Publicado en: | Critical Reviews in Clinical Laboratory Sciences Vol. 54; no. 6; pp. 414 - 433 |
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| Autores principales: | , , , |
| Formato: | review tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Sep2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=125941403&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 125941403 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10408363 1AV jtl: Critical Reviews in Clinical Laboratory Sciences issn: 10408363 maglogo: Y pubinfo: dt: Sep2017 vid: 54 iid: 6 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 125941403 125941403 125941403 10.1080/10408363.2017.1384446 125941403 ppf: 414 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Onco-proteogenomics: Multi-omics level data integration for accurate phenotype prediction. aug: au: Dimitrakopoulos, Lampros Prassas, Ioannis Diamandis, Eleftherios P. Charames, George S. affil: Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada sug: subj: Proteogenomics Methods Neoplasms Risk Factors Phenotype Molecular Biology Patient Centered Care Oncologic Care Individualized Medicine Genetics Sequence Analysis Technology, Medical ab: The overall goal of translational oncology is to identify molecular alterations indicative of cancer or of responsiveness to specific therapeutic regimens. While next-generation sequencing has played a pioneering role in this quest, the latest advances in proteomic technologies promise to provide a holistic approach to the further elucidation of tumor biology. Genetic information may be written in DNA and flow from DNA to RNA to protein, according to the central dogma of molecular biology, but the observed phenotype is dictated predominantly by the DNA protein coding region-derived proteotype. Proteomics holds the potential to bridge the gap between genotype and phenotype, because the powerful analytical tool of mass spectrometry has reached a point of maturity to serve this purpose effectively. This integration of “omics” data has given birth to the novel field of onco-proteogenomics, which has much to offer to precision medicine and personalized patient management. Here, we review briefly how each “omics” technology has individually contributed to cancer research, discuss technological and computational advances that have contributed to the realization of onco-proteogenomics, and summarize current and future translational applications. pubtype: Academic Journal doctype: review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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