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http://doi.org/10.25358/openscience-8150Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Dupont, Camille Amandine | - |
| dc.contributor.author | Riegel, Kristina | - |
| dc.contributor.author | Pompaiah, Malvika | - |
| dc.contributor.author | Juhl, Hartmut | - |
| dc.contributor.author | Rajalingam, Krishnaraj | - |
| dc.date.accessioned | 2022-11-16T11:27:39Z | - |
| dc.date.available | 2022-11-16T11:27:39Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.uri | https://openscience.ub.uni-mainz.de/handle/20.500.12030/8165 | - |
| dc.description.abstract | The past decades have seen tremendous developments with respect to “specific” therapeutics that target key signaling molecules to conquer cancer. The key advancements with multiomics technologies, especially genomics, have allowed physicians and molecular oncologists to design “tailor-made” solutions to the specific oncogenes that are deregulated in individual patients, a strategy which has turned out to be successful though the patients quickly develop resistance. The swift integration of multidisciplinary approaches has led to the development of “next generation” therapeutics and, with synergistic therapeutic regimes combined with immune checkpoint inhibitors to reactivate the dampened immune response, has provided the much-needed promise for cancer patients. Despite these advances, a large portion of the druggable genome remains understudied, and the role of druggable genome in the immune system needs further attention. Establishment of patient-derived organoid models has fastened the preclinical validation of novel therapeutics for swift clinical translation. We summarized the current advances and challenges and also stress the importance of biobanking and collection of longitudinal data sets with structured clinical information, as well as the critical role these “high content data sets” will play in designing new therapeutic regimes in a tailor-made fashion. | en_GB |
| dc.language.iso | eng | de |
| dc.rights | CC BY | * |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject.ddc | 610 Medizin | de_DE |
| dc.subject.ddc | 610 Medical sciences | en_GB |
| dc.title | Druggable genome and precision medicine in cancer : current challenges | en_GB |
| dc.type | Zeitschriftenaufsatz | de |
| dc.identifier.doi | http://doi.org/10.25358/openscience-8150 | - |
| jgu.type.dinitype | article | en_GB |
| jgu.type.version | Published version | de |
| jgu.type.resource | Text | de |
| jgu.organisation.department | FB 04 Medizin | de |
| jgu.organisation.number | 2700 | - |
| jgu.organisation.name | Johannes Gutenberg-Universität Mainz | - |
| jgu.rights.accessrights | openAccess | - |
| jgu.journal.title | The FEBS journal | de |
| jgu.journal.volume | 288 | de |
| jgu.journal.issue | 21 | de |
| jgu.pages.start | 6142 | de |
| jgu.pages.end | 6158 | de |
| jgu.publisher.year | 2021 | - |
| jgu.publisher.name | Wiley-Blackwell | de |
| jgu.publisher.place | Oxford u.a | de |
| jgu.publisher.issn | 1742-4658 | de |
| jgu.organisation.place | Mainz | - |
| jgu.subject.ddccode | 610 | de |
| jgu.publisher.doi | 10.1111/febs.15788 | de |
| jgu.organisation.ror | https://ror.org/023b0x485 | - |
| Appears in collections: | JGU-Publikationen | |
Files in This Item:
| File | Description | Size | Format | ||
|---|---|---|---|---|---|
 | druggable_genome_and_precisio-20221021115627142.pdf | 3.3 MB | Adobe PDF | View/Open |