TY  - JOUR
A1  - Pfohl, Ulrike
A1  - Pflaume, Alina
A1  - Regenbrecht, Manuela
A1  - Finkler, Sabine
A1  - Adelmann, Quirin Graf
A1  - Reinhard, Christoph
A1  - Regenbrecht, Christian René Alexander
A1  - Wedeken, Lena
T1  - Precision oncology beyond genomics: the future is here - it is just not evenly distributed
T2  - Cells
N2  - Cancer is a multifactorial disease with increasing incidence. There are more than 100 different cancer types, defined by location, cell of origin, and genomic alterations that influence oncogenesis and therapeutic response. This heterogeneity between tumors of different patients and also the heterogeneity within the same patient’s tumor pose an enormous challenge to cancer treatment. In this review, we explore tumor heterogeneity on the longitudinal and the latitudinal axis, reviewing current and future approaches to study this heterogeneity and their potential to support oncologists in tailoring a patient’s treatment regimen. We highlight how the ideal of precision oncology is reaching far beyond the knowledge of genetic variants to inform clinical practice and discuss the technologies and strategies already available to improve our understanding and management of heterogeneity in cancer treatment. We will focus on integrating multi-omics technologies with suitable in vitro models and their proficiency in mimicking endogenous tumor heterogeneity.
KW  - intra-tumor heterogeneity
KW  - multi-omics technology
KW  - cancer models
KW  - patient-derived organoids
KW  - personalized oncology
Y1  - 2021
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/62504
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-625046
SN  - 2073-4409
VL  - 10
IS  - 4, art. 928
SP  - 1
EP  - 17
PB  - MDPI
CY  - Basel
ER  -