Gene expression-based identification of prognostic markers in lung adenocarcinoma
The gene expression-based strategy identified 19 genes with correlation to OS in all six data sets. Out of these genes, we selected Ki67, MCM4 and TYMS for further assessment with IHC. Although an independent prognostic ability of the selected markers could not be confirmed by IHC, this proof-of-concept study demonstrates that by employing a gene expression-based discovery and validation strategy, potential prognostic markers can be identified and further assessed by a technique universally applicable in the clinical practice. The concept of studying potential prognostic markers through gene expression-based strategies, with a subsequent evaluation of the clinical utility, warrants further exploration.
Authors
- Daniel Ehinger (ORCID: https://orcid.org/0000-0001-7873-8505)
- Maria Planck (ORCID: https://orcid.org/0000-0001-7893-6755)
- Hans Brunnström (ORCID: https://orcid.org/0000-0001-7402-138X)
- Patrick Micke (ORCID: https://orcid.org/0000-0003-1210-5961)
- Johan Staaf (ORCID: https://orcid.org/0000-0001-5254-5115)
- Mats Jönsson (ORCID: https://orcid.org/0000-0002-4031-7665)
- Annette Salomonsson
- Johan Botling (ORCID: https://orcid.org/0000-0003-2226-3517)
Institutions
- Uppsala University (SE)
- Lund University (SE)
- Helsingborgs lasarett (SE)
- Skåne University Hospital (SE)
- University of Gothenburg (SE)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-05-07
- DOI
- https://doi.org/10.1371/journal.pone.0310232
- Primary Topic
- RNA modifications and cancer
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Stiftelsen Thelma Zoégas fond för medicinsk forskning
- Sjöbergstiftelsen
- Cancerfonden
- Fru Berta Kamprads Stiftelse