학술논문
The Essentials of Multiomics
Document Type
Academic Journal
Author
Marshall, John L.; Peshkin, Beth N.; Yoshino, Takayuki; Vowinckel, Jakob; Danielsen, Havard 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
Source
The Oncologist. April 2022, Vol. 27 Issue 4, p272, 13 p.
Subject
Language
English
ISSN
1083-7159
Abstract
Implications for Practice Tumors are constantly evolving, but so is our technology. Through multiomics-- combined genomics, transcriptomics, proteomics, digital pathology, and other technologies yet to fully unfold--we can now obtain [...]
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. Key words: cancer; multiomics; genomics; transcriptomics; proteomics; digital pathology; machine learning; artificial intelligence.
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. Key words: cancer; multiomics; genomics; transcriptomics; proteomics; digital pathology; machine learning; artificial intelligence.