Computational estimation of quality and clinical relevance of cancer cell lines
Abstract: Immortal cancer cell lines (CCLs) are the most widely used system for investigating cancer biology and for the preclinical development of oncology therapies. Pharmacogenomic and genome‐wide editing screenings have facilitated the discovery of clinically relevant gene–drug interactions and novel therapeutic targets via large panels of extensively characterised CCLs. However, tailoring pharmacological strategies in a precision medicine context requires bridging the existing gaps between tumours and in vitro models. Indeed, intrinsic limitations of CCLs such as misidentification, the absence of tumour microenvironment and genetic drift have highlighted the need to identify the most faithful CCLs for each primary tumour while addressing their heterogeneity, with the development of new models where necessary. Here, we discuss the most significant limitations of CCLs in representing patient features, and we review computational methods aiming at systematically evaluating the suitability of CCLs as tumour proxies and identifying the best patient representative in vitro models. Additionally, we provide an overview of the applications of these methods to more complex models and discuss future machine‐learning‐based directions that could resolve some of the arising discrepancies.
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Computational estimation of quality and clinical relevance of cancer cell lines ; volume:18 ; number:7 ; year:2022 ; extent:24
Molecular systems biology ; 18, Heft 7 (2022) (gesamt 24)
- Creator
- DOI
-
10.15252/msb.202211017
- URN
-
urn:nbn:de:101:1-2022071315105540133271
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:29 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Trastulla, Lucia
- Noorbakhsh, Javad
- Vazquez, Francisca
- McFarland, James
- Iorio, Francesco
Other Objects (12)
Computational line geometry
Computational line geometry
Estimation of the Food Poverty Line
Trivialization of the bottom line and losing relevance of losses
Cognitive representation and the relevance of on-line constructions
Unbounded number line estimation : A purer measure of numerical estimation?
Computational approaches for identifying somatic intergenic mutations of relevance in cancer
Computational approaches for identifying somatic intergenic mutations of relevance in cancer
The computational mechanisms of aberrant salience and dysfunctional relevance attribution in schizophrenia
Polynomial chaos expansion: Efficient evaluation and estimation of computational models
Polynomial chaos expansion: Efficient evaluation and estimation of computational models
Lifetime estimation of aluminum wire bonds based on computational plasticity
Computational line geometry
Computational line geometry
Estimation of the Food Poverty Line
Trivialization of the bottom line and losing relevance of losses
Cognitive representation and the relevance of on-line constructions
Unbounded number line estimation : A purer measure of numerical estimation?
Computational approaches for identifying somatic intergenic mutations of relevance in cancer
Computational approaches for identifying somatic intergenic mutations of relevance in cancer
The computational mechanisms of aberrant salience and dysfunctional relevance attribution in schizophrenia
Polynomial chaos expansion: Efficient evaluation and estimation of computational models
Polynomial chaos expansion: Efficient evaluation and estimation of computational models
Lifetime estimation of aluminum wire bonds based on computational plasticity
Computational line geometry
Computational line geometry
Estimation of the Food Poverty Line
Trivialization of the bottom line and losing relevance of losses
Cognitive representation and the relevance of on-line constructions
Unbounded number line estimation : A purer measure of numerical estimation?
Computational approaches for identifying somatic intergenic mutations of relevance in cancer
Computational approaches for identifying somatic intergenic mutations of relevance in cancer
The computational mechanisms of aberrant salience and dysfunctional relevance attribution in schizophrenia
Polynomial chaos expansion: Efficient evaluation and estimation of computational models
Polynomial chaos expansion: Efficient evaluation and estimation of computational models