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@ARTICLE{Bakos:310089,
author = {G. Bakos$^*$ and U. Bauder-Wüst$^*$ and J. Landry and M.
Roscher$^*$ and B. Ramasz and F. Bruchertseifer and A.
Morgenstern and C. Kratochwil and V. Beneš and M.
Benesova-Schäfer$^*$},
title = {{E}p{CAM}-{PSMA}: {P}otential predictors of treatment
outcomes for {PSMA}-targeted alpha therapies in metastatic
castration-resistant prostate cancer.},
journal = {Molecular therapy. Oncology.},
volume = {34},
number = {1},
address = {[New York]},
publisher = {Elsevier},
reportid = {DKFZ-2026-00433},
pages = {201143},
year = {2026},
note = {Molecular Therapy. Oncology. = 2950-3299 /
#EA:E270#LA:E270#},
abstract = {Targeted radionuclide therapy and targeted alpha therapy
directed at prostate-specific membrane antigen (PSMA)
represent emerging treatment modalities for metastatic
castration-resistant prostate cancer (mCRPC). However,
therapeutic resistance remains a significant barrier to
their clinical success. We discovered that dynamic changes
in cell surface levels of epithelial cell adhesion molecule
(EpCAM) and PSMA can serve as predictive biomarkers in
late-stage mCRPC patients treated with the
beta-minus-particle-emitting [177Lu]Lu-PSMA-617, in
combination with the alpha-particle-emitting
[225Ac]Ac-PSMA-617, and we further explored the underlying
molecular mechanisms. Using flow cytometry to profile EpCAM
and PSMA on circulating tumor cells (CTCs), we observed that
Nonresponders displayed significantly higher EpCAM and lower
PSMA levels than Responders, both at baseline and after the
first treatment cycle. Over subsequent cycles, both markers
declined in Nonresponders, whereas Responder CTCs maintained
EpCAM expression but progressively lost PSMA. Transcriptome
analysis identified upregulation of hub genes involved in
the regulation of key pathways such as enhanced DNA-damage
repair, anti-apoptotic activity, increased tumor cell
growth, and altered surface marker trafficking and
recycling, potentially driving EpCAM-PSMA dynamics and
contributing to therapy resistance. Ultimately, integrating
surface-marker-driven treatment response predictions with
novel treatment strategies may help to overcome treatment
resistance in mCRPC.},
keywords = {CTCs (Other) / EpCAM (Other) / PSMA (Other) / TαT (Other)
/ circulating tumor cells (Other) / epithelial cell adhesion
molecule (Other) / gene expression analysis (Other) / liquid
biopsy (Other) / mCRPC (Other) / metastatic
castration-resistant prostate cancer (Other) /
prostate-specific membrane antigen (Other) / surface marker
dynamics (Other) / targeted alpha therapy (Other) /
treatment resistance (Other) / treatment response prediction
(Other)},
cin = {E270 / W630},
cid = {I:(DE-He78)E270-20160331 / I:(DE-He78)W630-20160331},
pnm = {315 - Bildgebung und Radioonkologie (POF4-315)},
pid = {G:(DE-HGF)POF4-315},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:41732759},
pmc = {pmc:PMC12925578},
doi = {10.1016/j.omton.2026.201143},
url = {https://inrepo02.dkfz.de/record/310089},
}