001     166144
005     20240229123221.0
024 7 _ |a 10.1016/j.radonc.2020.10.030
|2 doi
024 7 _ |a pmid:33252044
|2 pmid
024 7 _ |a 0167-8140
|2 ISSN
024 7 _ |a 1879-0887
|2 ISSN
024 7 _ |a altmetric:95028020
|2 altmetric
037 _ _ |a DKFZ-2020-02652
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Zschaeck, Sebastian
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Generation of biological hypotheses by functional imaging links tumor hypoxia to radiation induced tissue inflammation/glucose uptake in head and neck cancer.
260 _ _ |a Amsterdam [u.a.]
|c 2020
|b Elsevier Science
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 1619095455_2695
|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
520 _ _ |a Positron emission tomography (PET) is a functional imaging modality which is able to deliver tracer specific biological information, e.g. about glucose uptake, inflammation or hypoxia of tumors. We performed a proof-of-principle study that used different tracers and expanded the analytical scope to non-tumor structures to evaluate tumor-host interactions.Based on a previously reported prospective imaging study on 50 patients treated with curative intent chemoradiation (CRT) for head and neck squamous cell carcinoma, PET-based hypoxia and normal tissue inflammation measured by repeat 18F-fluoromisonidazole (FMISO) PET and 18F-fluorodesoxyglucose (FDG) PET, respectively, were correlated using the Spearman correlation coefficient R. PET parameters determined before and during CRT (week 1, 2 and 5), were associated with local tumor control and overall survival.Tumor hypoxia at all measured times showed an inverse correlation with mid-treatment FDG-uptake of non-tumor affected oral (sub-)mucosa with R values between -0.35 and -0.6 (all p < 0.05). Mucosal FDG-uptake and mucosal hypoxia correlated positively but weaker (R values between 0.2 and 0.45). More tumor hypoxia in FMISO-PET (week 2) and less FDG-uptake of (sub-)mucosa in FDG-PET (week 4) were significantly associated with worse LC (FMISO TBRpeak: HR = 1.72, p = 0.030; FDG SUVmean: HR = 0.23, p = 0.025) and OS (FMISO TBRpeak: HR = 1.71, p = 0.007; FDG SUVmean: HR = 0.30, p = 0.003). Multivariable models including both parameters showed improved performance, suggesting that these modalities still bear distinct biological information despite their strong inter-correlation.We report first clinical evidence that tumor hypoxia is inversely correlated with increased FDG-uptake during radiation, potentially expressing inflammation. This observation merits further research and may have important implication for future research on tumor hypoxia and radio-immunology. Our study demonstrates that functional imaging can be utilized to assess complex tumor-host interactions and generate novel biological insights in vivo vero.
536 _ _ |a 315 - Imaging and radiooncology (POF3-315)
|0 G:(DE-HGF)POF3-315
|c POF3-315
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
700 1 _ |a Zöphel, Klaus
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Seidlitz, Annekatrin
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Zips, Daniel
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Kotzerke, Jörg
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Baumann, Michael
|0 P:(DE-He78)933f7d725ac87378f459623783585a1f
|b 5
|u dkfz
700 1 _ |a Troost, Esther
|0 P:(DE-He78)91d4b4a1e36e2bec6c08ac43e6820834
|b 6
|u dkfz
700 1 _ |a Löck, Steffen
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Krause, Mechthild
|0 P:(DE-He78)4be9ccb23f3e472b97743845cd2b3fe9
|b 8
|u dkfz
773 _ _ |a 10.1016/j.radonc.2020.10.030
|g Vol. 155, p. 204 - 211
|0 PERI:(DE-600)1500707-8
|p 204 - 211
|t Radiotherapy and oncology
|v 155
|y 2020
|x 0167-8140
909 C O |p VDB
|o oai:inrepo02.dkfz.de:166144
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 P:(DE-HGF)0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-HGF)0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-HGF)0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 3
|6 P:(DE-HGF)0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 4
|6 P:(DE-HGF)0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 5
|6 P:(DE-He78)933f7d725ac87378f459623783585a1f
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 6
|6 P:(DE-He78)91d4b4a1e36e2bec6c08ac43e6820834
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 7
|6 P:(DE-HGF)0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 8
|6 P:(DE-He78)4be9ccb23f3e472b97743845cd2b3fe9
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-315
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-300
|4 G:(DE-HGF)POF
|v Imaging and radiooncology
|x 0
913 2 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-315
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Bildgebung und Radioonkologie
|x 0
914 1 _ |y 2020
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2020-09-09
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-09-09
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-09-09
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-09-09
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-09-09
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2020-09-09
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2020-09-09
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2020-09-09
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2020-09-09
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-09-09
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b RADIOTHER ONCOL : 2018
|d 2020-09-09
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2020-09-09
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2020-09-09
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b RADIOTHER ONCOL : 2018
|d 2020-09-09
920 1 _ |0 I:(DE-He78)DD01-20160331
|k DD01
|l DKTK DD zentral
|x 0
920 1 _ |0 I:(DE-He78)TU01-20160331
|k TU01
|l DKTK TU zentral
|x 1
920 1 _ |0 I:(DE-He78)M010-20160331
|k M010
|l M010 Stiftungsvorstand
|x 2
920 1 _ |0 I:(DE-He78)E220-20160331
|k E220
|l E220 Radioonkologie/Radiobiologie
|x 3
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)DD01-20160331
980 _ _ |a I:(DE-He78)TU01-20160331
980 _ _ |a I:(DE-He78)M010-20160331
980 _ _ |a I:(DE-He78)E220-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21