Druggable genome and precision medicine in cancer: current challenges.
Camille Amandine DupontKristina RiegelMalvika PompaiahHartmut JuhlKrishnaraj RajalingamPublished in: The FEBS journal (2021)
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.
Keyphrases
- end stage renal disease
- immune response
- ejection fraction
- chronic kidney disease
- newly diagnosed
- small molecule
- prognostic factors
- papillary thyroid
- big data
- genome wide
- primary care
- working memory
- electronic health record
- healthcare
- drug delivery
- quality improvement
- single cell
- social media
- artificial intelligence
- patient reported outcomes
- cross sectional
- cell therapy
- squamous cell
- heat stress
- lymph node metastasis
- stress induced