The Essentials of Multiomics
Within the last decade, the science of molecular testing has evolved from single gene and single protein analysis to broad molecular profiling as a standard of care, quickly transitioning from research to practice. Terms such as genomics, transcriptomics, proteomics, circulating omics, and artificia...
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Veröffentlicht in: | The oncologist (Dayton, Ohio) Ohio), 2022-04, Vol.27 (4), p.272-284 |
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creator | Marshall, John L Peshkin, Beth N Yoshino, Takayuki Vowinckel, Jakob Danielsen, Håvard E Melino, Gerry Tsamardinos, Ioannis Haudenschild, Christian Kerr, David J Sampaio, Carlos Rha, Sun Young FitzGerald, Kevin T Holland, Eric C Gallagher, David Garcia-Foncillas, Jesus Juhl, Hartmut |
description | Within the last decade, the science of molecular testing has evolved from single gene and single protein analysis to broad molecular profiling as a standard of care, quickly transitioning from research to practice. Terms such as genomics, transcriptomics, proteomics, circulating omics, and artificial intelligence are now commonplace, and this rapid evolution has left us with a significant knowledge gap within the medical community. In this paper, we attempt to bridge that gap and prepare the physician in oncology for multiomics, a group of technologies that have gone from looming on the horizon to become a clinical reality. The era of multiomics is here, and we must prepare ourselves for this exciting new age of cancer medicine. |
doi_str_mv | 10.1093/oncolo/oyab048 |
format | Article |
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Terms such as genomics, transcriptomics, proteomics, circulating omics, and artificial intelligence are now commonplace, and this rapid evolution has left us with a significant knowledge gap within the medical community. In this paper, we attempt to bridge that gap and prepare the physician in oncology for multiomics, a group of technologies that have gone from looming on the horizon to become a clinical reality. The era of multiomics is here, and we must prepare ourselves for this exciting new age of cancer medicine.</description><identifier>ISSN: 1083-7159</identifier><identifier>ISSN: 1549-490X</identifier><identifier>EISSN: 1549-490X</identifier><identifier>DOI: 10.1093/oncolo/oyab048</identifier><identifier>PMID: 35380712</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Antimitotic agents ; Antineoplastic agents ; Artificial Intelligence ; Cancer Diagnostics and Molecular Pathology ; Genes ; Genomics ; Humans ; Machine learning ; Medical Oncology ; Neoplasms - genetics ; Neoplasms - therapy ; Proteomics</subject><ispartof>The oncologist (Dayton, Ohio), 2022-04, Vol.27 (4), p.272-284</ispartof><rights>The Author(s) 2022. Published by Oxford University Press.</rights><rights>COPYRIGHT 2022 Oxford University Press</rights><rights>The Author(s) 2022. Published by Oxford University Press. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c457t-6a840e9982b9b3d9c468a20741e4404d932f7496b4bf0314b24e5713d72eff93</citedby><cites>FETCH-LOGICAL-c457t-6a840e9982b9b3d9c468a20741e4404d932f7496b4bf0314b24e5713d72eff93</cites><orcidid>0000-0001-7373-6703 ; 0000-0001-9428-5972 ; 0000-0002-4343-4058 ; 0000-0002-2492-959X ; 0000-0001-5843-1557 ; 0000-0002-3792-7120 ; 0000-0002-7591-8006 ; 0000-0002-3449-2344 ; 0000-0002-2997-4701 ; 0000-0002-0489-4756 ; 0000-0002-6798-4724 ; 0000-0002-2512-4531 ; 0000-0002-4468-5991 ; 0000-0002-9786-2306</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982374/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982374/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35380712$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Marshall, John L</creatorcontrib><creatorcontrib>Peshkin, Beth N</creatorcontrib><creatorcontrib>Yoshino, Takayuki</creatorcontrib><creatorcontrib>Vowinckel, Jakob</creatorcontrib><creatorcontrib>Danielsen, Håvard E</creatorcontrib><creatorcontrib>Melino, Gerry</creatorcontrib><creatorcontrib>Tsamardinos, Ioannis</creatorcontrib><creatorcontrib>Haudenschild, Christian</creatorcontrib><creatorcontrib>Kerr, David J</creatorcontrib><creatorcontrib>Sampaio, Carlos</creatorcontrib><creatorcontrib>Rha, Sun Young</creatorcontrib><creatorcontrib>FitzGerald, Kevin T</creatorcontrib><creatorcontrib>Holland, Eric C</creatorcontrib><creatorcontrib>Gallagher, David</creatorcontrib><creatorcontrib>Garcia-Foncillas, Jesus</creatorcontrib><creatorcontrib>Juhl, Hartmut</creatorcontrib><title>The Essentials of Multiomics</title><title>The oncologist (Dayton, Ohio)</title><addtitle>Oncologist</addtitle><description>Within the last decade, the science of molecular testing has evolved from single gene and single protein analysis to broad molecular profiling as a standard of care, quickly transitioning from research to practice. 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source | MEDLINE; DOAJ Directory of Open Access Journals; Oxford Journals Open Access Collection; EZB-FREE-00999 freely available EZB journals; PubMed Central |
subjects | Antimitotic agents Antineoplastic agents Artificial Intelligence Cancer Diagnostics and Molecular Pathology Genes Genomics Humans Machine learning Medical Oncology Neoplasms - genetics Neoplasms - therapy Proteomics |
title | The Essentials of Multiomics |
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