Home > Publications database > Interim [18F]FDG PET/CT can predict response to anti-PD-1 treatment in metastatic melanoma. > print

001     166490
005     20240229133521.0
024 7 _ |a 10.1007/s00259-020-05137-7
|2 doi
024 7 _ |a pmid:33336264
|2 pmid
024 7 _ |a 0340-6997
|2 ISSN
024 7 _ |a 1432-105X
|2 ISSN
024 7 _ |a 1619-7070
|2 ISSN
024 7 _ |a 1619-7089
|2 ISSN
024 7 _ |a altmetric:96319285
|2 altmetric
037 _ _ |a DKFZ-2020-02933
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Sachpekidis, Christos
|0 P:(DE-He78)69d2d5247c019c2a2075502dc11bf0b2
|b 0
|e First author
|u dkfz
245 _ _ |a Interim [18F]FDG PET/CT can predict response to anti-PD-1 treatment in metastatic melanoma.
260 _ _ |a Heidelberg [u.a.]
|c 2021
|b Springer-Verl.
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 1623236501_6854
|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 #EA:E060#LA:E060# / 2021 Jun;48(6):1932-1943
520 _ _ |a In an attempt to identify biomarkers that can reliably predict long-term outcomes to immunotherapy in metastatic melanoma, we investigated the prognostic role of [18F]FDG PET/CT, performed at baseline and early during the course of anti-PD-1 treatment.Twenty-five patients with stage IV melanoma, scheduled for treatment with PD-1 inhibitors, were enrolled in the study (pembrolizumab, n = 8 patients; nivolumab, n = 4 patients; nivolumab/ipilimumab, 13 patients). [18F]FDG PET/CT was performed before the start of treatment (baseline PET/CT) and after the initial two cycles of PD-1 blockade administration (interim PET/CT). Seventeen patients underwent also a third PET/CT scan after administration of four cycles of treatment. Evaluation of patients' response by means of PET/CT was performed after application of the European Organization for Research and Treatment of Cancer (EORTC) 1999 criteria and the PET Response Evaluation Criteria for IMmunoTherapy (PERCIMT). Response to treatment was classified into 4 categories: complete metabolic response (CMR), partial metabolic response (PMR), stable metabolic disease (SMD), and progressive metabolic disease (PMD). Patients were further grouped into two groups: those demonstrating metabolic benefit (MB), including patients with SMD, PMR, and CMR, and those demonstrating no MB (no-MB), including patients with PMD. Moreover, patterns of [18F]FDG uptake suggestive of radiologic immune-related adverse events (irAEs) were documented. Progression-free survival (PFS) was measured from the date of interim PET/CT until disease progression or death from any cause.Median follow-up from interim PET/CT was 24.2 months (19.3-41.7 months). According to the EORTC criteria, 14 patients showed MB (1 CMR, 6 PMR, and 7 SMD), while 11 patients showed no-MB (PMD). Respectively, the application of the PERCIMT criteria revealed that 19 patients had MB (1 CMR, 6 PMR, and 12 SMD), and 6 of them had no-MB (PMD). With regard to PFS, no significant difference was observed between patients with MB and no-MB on interim PET/CT according to the EORTC criteria (p = 0.088). In contrary, according to the PERCIMT criteria, patients demonstrating MB had a significantly longer PFS than those showing no-MB (p = 0.045). The emergence of radiologic irAEs (n = 11 patients) was not associated with a significant survival benefit. Regarding the sub-cohort undergoing also a third PET/CT, 14/17 patients (82%) showed concordant responses and 3/17 (18%) had a mismatch of response assessment between interim and late PET/CT.PET/CT-based response of metastatic melanoma to PD-1 blockade after application of the recently proposed PERCIMT criteria is significantly correlated with PFS. This highlights the potential ability of [18F]FDG PET/CT for early stratification of response to anti-PD-1 agents, a finding with possible significant clinical and financial implications. Further studies including larger numbers of patients are necessary to validate these results.
536 _ _ |a 315 - Bildgebung und Radioonkologie (POF4-315)
|0 G:(DE-HGF)POF4-315
|c POF4-315
|x 0
|f POF IV
588 _ _ |a Dataset connected to CrossRef, PubMed,
650 _ 7 |a Anti-PD-1 therapy
|2 Other
650 _ 7 |a EORTC criteria
|2 Other
650 _ 7 |a Immunotherapy
|2 Other
650 _ 7 |a Interim [18F]FDG PET/CT
|2 Other
650 _ 7 |a Metastatic melanoma
|2 Other
650 _ 7 |a PERCIMT criteria
|2 Other
650 _ 7 |a Treatment response evaluation
|2 Other
700 1 _ |a Kopp-Schneider, Annette
|0 P:(DE-He78)bb6a7a70f976eb8df1769944bf913596
|b 1
|u dkfz
700 1 _ |a Pan, Leyun
|0 P:(DE-He78)96ac0342a3ccf9553e3d4c9da9b821b0
|b 2
|u dkfz
700 1 _ |a Papamichail, Dimitrios
|0 P:(DE-He78)d3448cb2463ac4b543632a05e5b50f9d
|b 3
|u dkfz
700 1 _ |a Haberkorn, Uwe
|0 P:(DE-He78)13a0afba029f5f64dc18b25ef7499558
|b 4
|u dkfz
700 1 _ |a Hassel, Jessica C
|b 5
700 1 _ |a Dimitrakopoulou-Strauss, Antonia
|0 P:(DE-He78)b2df3652dfa3e19d5e96dfc53f44a992
|b 6
|e Last author
|u dkfz
773 _ _ |a 10.1007/s00259-020-05137-7
|0 PERI:(DE-600)2098375-X
|n 6
|p 1932-1943
|t European journal of nuclear medicine and molecular imaging
|v 48
|y 2021
|x 1619-7089
909 C O |o oai:inrepo02.dkfz.de:166490
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 P:(DE-He78)69d2d5247c019c2a2075502dc11bf0b2
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-He78)bb6a7a70f976eb8df1769944bf913596
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-He78)96ac0342a3ccf9553e3d4c9da9b821b0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 3
|6 P:(DE-He78)d3448cb2463ac4b543632a05e5b50f9d
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 4
|6 P:(DE-He78)13a0afba029f5f64dc18b25ef7499558
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 6
|6 P:(DE-He78)b2df3652dfa3e19d5e96dfc53f44a992
913 0 _ |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 1 _ |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 2021
915 _ _ |a DEAL Springer
|0 StatID:(DE-HGF)3002
|2 StatID
|d 2020-08-29
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-08-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2020-08-29
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2020-08-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-08-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-08-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2020-08-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-08-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2020-08-29
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2020-08-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-08-29
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b EUR J NUCL MED MOL I : 2018
|d 2020-08-29
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b EUR J NUCL MED MOL I : 2018
|d 2020-08-29
920 1 _ |0 I:(DE-He78)E060-20160331
|k E060
|l E060 KKE Nuklearmedizin
|x 0
920 1 _ |0 I:(DE-He78)C060-20160331
|k C060
|l C060 Biostatistik
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)E060-20160331
980 _ _ |a I:(DE-He78)C060-20160331
980 _ _ |a UNRESTRICTED

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21