TY  - JOUR
AU  - Cicchetti, A.
AU  - Gioscio, E.
AU  - De Santis, M. C.
AU  - Seibold, Petra
AU  - Azria, D.
AU  - Dunning, A.
AU  - Sperk, E.
AU  - Rosenstein, B. S.
AU  - Talbot, C.
AU  - Vega, A.
AU  - Veldeman, L.
AU  - Gutierrez, S.
AU  - Webb, A.
AU  - Franco, N. R.
AU  - Massi, M. C.
AU  - Mapelli, A.
AU  - Ieva, F.
AU  - Rattay, T.
AU  - West, C. M. L.
AU  - Rancati, T.
TI  - Managing RT Schedules of Early-Stage Breast Cancer Patients with a Genetic-Dosimetric Validated Model for Late Fibrosis.
JO  - International journal of radiation oncology, biology, physics
VL  - 117
IS  - 2S
SN  - 0360-3016
CY  - Amsterdam [u.a.]
PB  - Elsevier Science
M1  - DKFZ-2023-01998
SP  - e170 - e171
PY  - 2023
AB  - Define a multifactorial risk prediction model for RT-induced fibrosis and investigate the benefit of a personalized approach for breast cancer (BC) patients (pts) treated with whole breast RT.In a previous study, we confirmed the predictive role of 30 SNPs from the literature and built an interaction aware Polygenic Risk Score (PRS, following the methods from Franco RO 2021) for Late Fibrosis (FG2+) on a cohort of 1500 pts from the REQUITE EU/USA prospective observational study. The PRS weights the radiosensitive (RS) and radioresistant (RR) genetic components and can be included in NTCP models. In a subgroup from the same cohort (390 pts), we have also confirmed an NTCP model based on biologically Equivalent Uniform Dose (BEUD) from PTV DVHs for pts treated at 40-50 Gy and no RT boost. Here, we combine PRS and BEUD into a sigmoid model allowing PRS to modulate BEUD50 (BEUD leading to 50
LB  - PUB:(DE-HGF)16
C6  - pmid:37784779
DO  - DOI:10.1016/j.ijrobp.2023.06.1011
UR  - https://inrepo02.dkfz.de/record/284409
ER  -