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- Title
Genomics, microRNA, epigenetics, and proteomics for future diagnosis, treatment and monitoring response in upper GI cancers.
- Authors
Brücher, Björn L. D. M.; Li, Yan; Schnabel, Philipp; Daumer, Martin; Wallace, Timothy J.; Kube, Rainer; Zilberstein, Bruno; Steele, Scott; Voskuil, Jan L. A.; Jamall, Ijaz S.
- Abstract
publisher‐imprint‐name Springer volume‐issue‐count 1 issue‐article‐count 0 issue‐toc‐levels 0 issue‐pricelist‐year 2016 issue‐copyright‐holder The Author(s) issue‐copyright‐year 2016 article‐contains‐esm No article‐numbering‐style Unnumbered article‐registration‐date‐year 2016 article‐registration‐date‐month 3 article‐registration‐date‐day 29 article‐toc‐levels 0 toc‐levels 0 volume‐type Regular journal‐product ArchiveJournal numbering‐style Unnumbered article‐grants‐type OpenChoice metadata‐grant OpenAccess abstract‐grant OpenAccess bodypdf‐grant OpenAccess bodyhtml‐grant OpenAccess bibliography‐grant OpenAccess esm‐grant OpenAccess online‐first false pdf‐file‐reference BodyRef/PDF/40169_2016_Article_93.pdf target‐type OnlinePDF issue‐type Regular article‐type ReviewPaper journal‐subject‐primary Medicine & Public Health journal‐subject‐secondary Medicine/Public Health, general journal‐subject‐collection SC11 open‐access true --> One major objective for our evolving understanding in the treatment of cancers will be to address how a combination of diagnosis and treatment strategies can be used to integrate patient and tumor variables with an outcome‐oriented approach. Such an approach, in a multimodal therapy setting, could identify those patients (1) who should undergo a defined treatment (personalized therapy) (2) in whom modifications of the multimodal therapy due to observed responses might lead to an improvement of the response and/or prognosis (individualized therapy), (3) who might not benefit from a particular toxic treatment regimen, and (4) who could be identified early on and thereby be spared the morbidity associated with such treatments. These strategies could lead in the direction of precision medicine and there is hope of integrating translational molecular data to improve cancer classifications. In order to achieve these goals, it is necessary to understand the key issues in different aspects of biotechnology to anticipate future directions of personalized and individualized diagnosis and multimodal treatment strategies. Providing an overview of translational data in cancers proved to be a challenge as different methods and techniques used to obtain molecular data are used and studies are based on different tumor entities with different tumor biology and prognoses as well as vastly different therapeutic approaches. The pros and cons of the available methodologies and the potential response data in genomics, microRNA, epigenetics and proteomics with a focus on upper gastrointestinal cancers are considered herein to allow for an understanding of where these technologies stand with respect to cancer diagnosis, prognosis and treatment.
- Subjects
MICRORNA; PROTEOMICS; EPIGENETICS; GENOMICS; GASTROINTESTINAL cancer; TUMOR classification
- Publication
Clinical & Translational Medicine, 2016, Vol 5, Issue 1, p1
- ISSN
2001-1326
- Publication type
Article
- DOI
10.1186/s40169-016-0093-6