Towards Personalized and Precision Oncology Through the View of Design-Driven Cancer Translational Research and Clinical Applications

PPM is now the recommended standard for oncology care. Individualizing treatment is thus becoming a core objective ofthe Personalized and Precision Medicine (PPM) and its valuable branch, entitled as Personalized & Precision Oncology/PPO).PPO is emerging as a complementary approach that aims to bridge the gap between genotype and phenotype by modelling individual tumors in vitro. Those patient- and pre-cancer personat- risk-derived ex vivo models largely preserve several tumorcharacteristics that are not captured by genomics approaches and enable the functional dissection of tumor vulnerabilities ina PPM-guided manner. Those trends and developments have opened exciting new avenues for PPO-guided clinical practice,with the potential for successful applications in contexts in which genomic data alone are not informative.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-04
DOI
https://doi.org/10.5281/zenodo.16949282
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Towards Personalized and Precision Oncology Through the View of Design-Driven Cancer Translational Research and Clinical Applications

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Towards Personalized and Precision Oncology Through the View of Design-Driven Cancer Translational Research and Clinical Applications

article en

Abstract

PPM is now the recommended standard for oncology care. Individualizing treatment is thus becoming a core objective ofthe Personalized and Precision Medicine (PPM) and its valuable branch, entitled as Personalized & Precision Oncology/PPO).PPO is emerging as a complementary approach that aims to bridge the gap between genotype and phenotype by modelling individual tumors in vitro. Those patient- and pre-cancer personat- risk-derived ex vivo models largely preserve several tumorcharacteristics that are not captured by genomics approaches and enable the functional dissection of tumor vulnerabilities ina PPM-guided manner. Those trends and developments have opened exciting new avenues for PPO-guided clinical practice,with the potential for successful applications in contexts in which genomic data alone are not informative.

Zenodo (CERN European Organization for Nuclear Research)
N.D. Zelinsky Institute of Organic Chemistry (RU)
Openalex Percentile: Top 65%
Geochemistry and Geologic Mapping
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