Transcriptome-based model for predicting radiotherapy response in HNSCC patients
We observed that our model, consisting of two groups, differed at the molecular level in genetic changes. Moreover, the presented model and its characterization showed that it was potentially useful for searching for potential biomarkers.
Authors
- Joanna Kaźmierska (ORCID: https://orcid.org/0000-0001-7160-8150)
- Ewa Leporowska (ORCID: https://orcid.org/0000-0001-5193-8697)
- Anna Przybyła (ORCID: https://orcid.org/0000-0002-6395-5731)
- Anna Teresiak (ORCID: https://orcid.org/0000-0002-5327-6698)
- Kacper Guglas (ORCID: https://orcid.org/0000-0002-2296-7808)
- Patrycja Mantaj (ORCID: https://orcid.org/0000-0001-5757-9461)
- Zefiryn Cybulski (ORCID: https://orcid.org/0000-0002-7648-1520)
- Piotr Białas (ORCID: https://orcid.org/0000-0001-9133-4177)
- Marlena Janiczek-Polewska (ORCID: https://orcid.org/0000-0002-1238-5273)
- Paulina Poter (ORCID: https://orcid.org/0000-0003-1811-6901)
- Tomasz Kolenda (ORCID: https://orcid.org/0000-0001-5623-7398)
- Alicja Braska
- Anna Malicka-Durczak (ORCID: https://orcid.org/0000-0002-9721-1263)
- Małgorzata Nowak
- Anna Zapłata (ORCID: https://orcid.org/0009-0002-5611-1853)
- Dominika Połczyńska-Hałas
Institutions
- Poznan University of Medical Sciences (PL)
- Greater Poland Cancer Center (PL)
Publication Details
- Journal
- Reports of Practical Oncology & Radiotherapy
- Published
- 2025-11-28
- DOI
- https://doi.org/10.5603/rpor.109846
- Primary Topic
- Effects of Radiation Exposure
- Type
- article
- Field-Weighted Citation Impact
- 0.00