001     307610
005     20260113155325.0
024 7 _ |a 10.3390/cells15010086
|2 doi
024 7 _ |a pmid:41511369
|2 pmid
024 7 _ |a pmc:PMC12785619
|2 pmc
037 _ _ |a DKFZ-2026-00082
041 _ _ |a English
082 _ _ |a 570
100 1 _ |a Mladenov, Emil
|b 0
245 _ _ |a Evidence for Quasi-High-LET Biological Effects in Clinical Proton Beams That Suppress c-NHEJ and Enhance HR and Alt-EJ.
260 _ _ |a Basel
|c 2026
|b MDPI
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1768315933_488982
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a #DKTKZFB26#
520 _ _ |a Protons are conventionally regarded as a low-linear energy transfer (low-LET) radiation modality with a relative biological effectiveness (RBE) of 1.1, suggesting direct mechanistic similarity to X-rays in the underpinning biological effects. However, exposure to spread-out Bragg peak (SOBP) protons reveals instructive deviations from this assumption. Indeed, proton beams have a maximum LET of ~5 keV/µm but display reduced reliance on classical non-homologous end joining (c-NHEJ) as well as an increased dependence on homologous recombination (HR) and alternative end joining (alt-EJ). These features are well described in cells exposed to high-LET radiation and typically manifest between 100 and 150 keV/µm. We hypothesized that this apparent discrepancy reflects biological consequences of proton-beam properties that remain uncharacterized. In the present study, we outline exploratory experiments aiming at uncovering such mechanisms. We begin by investigating for both entrance and SOBP protons the dose-dependent engagement of HR we recently showed for X-rays. Consistent with our previous findings with X-rays, HR engagement after exposure to both types of proton beams declined with dose, from ~80% at 0.2 Gy to less than 20% at higher doses. RAD51/γH2AX foci ratios, reflecting HR engagement, were modestly higher following proton irradiation, in line with increased HR utilization. G2-checkpoint activation, previously linked to HR, was also stronger after exposure to protons, as was DNA end resection. Moreover, the formation of structural chromosomal abnormalities (SCAs) was higher for SOBP than entrance protons and X-rays. Collectively, our results suggest quasi-high-LET characteristics for proton beams and raise the question as to the physical proton properties that underpin them. We discuss that the commonly employed definition of LET may be insufficient for this purpose.
536 _ _ |a 899 - ohne Topic (POF4-899)
|0 G:(DE-HGF)POF4-899
|c POF4-899
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a DNA double strand breaks (DSBs)
|2 Other
650 _ 7 |a alternative end joining (alt-EJ)
|2 Other
650 _ 7 |a classical non-homologous end joining (c-NHEJ)
|2 Other
650 _ 7 |a homologous recombination (HR)
|2 Other
650 _ 7 |a ionizing radiation (IR)
|2 Other
650 _ 7 |a linear energy transfer (LET)
|2 Other
650 _ 7 |a proton radiation
|2 Other
650 _ 7 |a relative biological effectiveness (RBE)
|2 Other
650 _ 7 |a structural chromosomal abnormalities (SCAs)
|2 Other
650 _ 7 |a Protons
|2 NLM Chemicals
650 _ 2 |a Linear Energy Transfer
|2 MeSH
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a DNA End-Joining Repair: radiation effects
|2 MeSH
650 _ 2 |a Protons
|2 MeSH
650 _ 2 |a Homologous Recombination: radiation effects
|2 MeSH
650 _ 2 |a Proton Therapy
|2 MeSH
650 _ 2 |a Dose-Response Relationship, Radiation
|2 MeSH
650 _ 2 |a X-Rays
|2 MeSH
700 1 _ |a Pressler, Mina
|b 1
700 1 _ |a Mladenova, Veronika
|b 2
700 1 _ |a Soni, Aashish
|0 0000-0001-9696-1006
|b 3
700 1 _ |a Li, Fanghua
|0 0000-0001-7610-8489
|b 4
700 1 _ |a Heinzelmann, Feline
|b 5
700 1 _ |a Esser, Johannes Niklas
|b 6
700 1 _ |a Hessenow, Razan
|0 0009-0002-1488-8103
|b 7
700 1 _ |a Gkika, Eleni
|b 8
700 1 _ |a Jendrossek, Verena
|0 0000-0003-1058-2107
|b 9
700 1 _ |a Timmermann, Beate
|0 0000-0003-2274-2008
|b 10
700 1 _ |a Stuschke, Martin
|0 0000-0001-6836-0940
|b 11
700 1 _ |a Iliakis, George
|0 0000-0002-1152-5342
|b 12
773 _ _ |a 10.3390/cells15010086
|g Vol. 15, no. 1, p. 86 -
|0 PERI:(DE-600)2661518-6
|n 1
|p 86
|t Cells
|v 15
|y 2026
|x 2073-4409
909 C O |p VDB
|o oai:inrepo02.dkfz.de:307610
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 9
|6 0000-0003-1058-2107
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 11
|6 0000-0001-6836-0940
913 1 _ |a DE-HGF
|b Programmungebundene Forschung
|l ohne Programm
|1 G:(DE-HGF)POF4-890
|0 G:(DE-HGF)POF4-899
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-800
|4 G:(DE-HGF)POF
|v ohne Topic
|x 0
914 1 _ |y 2026
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b CELLS-BASEL : 2022
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2023-08-01T15:15:06Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2023-08-01T15:15:06Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Anonymous peer review
|d 2023-08-01T15:15:06Z
915 _ _ |a Creative Commons Attribution CC BY (No Version)
|0 LIC:(DE-HGF)CCBYNV
|2 V:(DE-HGF)
|b DOAJ
|d 2023-08-01T15:15:06Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2025-01-06
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2025-01-06
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2025-01-06
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2025-01-06
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b CELLS-BASEL : 2022
|d 2025-01-06
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2025-01-06
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2025-01-06
920 1 _ |0 I:(DE-He78)ED01-20160331
|k ED01
|l DKTK Koordinierungsstelle Essen/Düsseldorf
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)ED01-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21