Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Assessment of Predictive Genomic Biomarkers for Response to Cisplatin-based Neoadjuvant Chemotherapy in Bladder Cancer

Alberto Gil-Jimenez, Jeroen van Dorp, Alberto Contreras‐Sanz, Kristan van der Vos, Daniël J. Vis, Linde M. Braaf, Annegien Broeks, Ron Kerkhoven, Kim E.M. van Kessel, María J. Ribal, Antonio Alcaraz, Lodewyk F.A. Wessels, Roland Seiler, Jonathan L. Wright, Lourdes Mengual, Joost L. Boormans, Bas W.G. van Rhijn, Peter C. Black, Michiel S. van der Heijden

European Urology · 2022

Read source ↗ All evidence

Summary

This 2022 study examined whether genomic biomarkers could reliably predict which bladder cancer patients would respond to cisplatin-based neoadjuvant chemotherapy. Drawing on multi-centre patient cohorts, the authors assessed the clinical utility of genomic signatures in stratifying treatment response and informing personalised oncology approaches. As suggested by the authorship and journal scope, the work contributes to precision medicine in urothelial cancer, though the abstract was unavailable for detailed assessment of specific biomarker performance.

UK applicability

Findings are directly applicable to UK bladder cancer management, as NHS oncology services increasingly adopt genomic profiling and personalised treatment protocols. However, implementation would require validation within UK treatment pathways and integration with existing diagnostic infrastructure.

Key measures

Genomic biomarker predictive accuracy, pathological complete response rates, recurrence-free survival, overall survival

Outcomes reported

The study assessed predictive genomic biomarkers for patient response to cisplatin-based neoadjuvant chemotherapy in bladder cancer. It evaluated the performance of genomic signatures in predicting treatment response and clinical outcomes.

Theme
Measurement & metrics
Subject
Other / interdisciplinary
Study type
Research
Study design
Observational cohort
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Human clinical
DOI
10.1016/j.eururo.2022.07.023
Catalogue ID
BFmommpjky-2pbr3x

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.