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Article

A showcase study on personalized in silico drug response prediction based on the genetic landscape of muscle invasive bladder cancer.

Scientific reports - 12 Mar 2021

Krentel Friedemann, Singer Franziska, Rosano-Gonzalez María Lourdes, Gibb Ewan A, Liu Yang, Davicioni Elai, Keller Nicola, Stekhoven Daniel J, Kruithof-de Julio Marianna, Seiler Roland

Abstract excerpt

Improved and cheaper molecular diagnostics allow the shift from "one size fits all" therapies to personalised treatments targeting the individual tumor. However, the wealth of potential targets based on comprehensive sequencing remains a yet unsolved challenge that prevents its routine use in clinical practice. Thus, we designed a workflow that selects the most promising treatment targets based on multi-omics...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 33712636
DOI: 10.1038/s41598-021-85151-3
PMCID: PMC7955125

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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