FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384407303> ?p ?o ?g. }

• W4384407303 endingPage "3722" @default.
• W4384407303 startingPage "3709" @default.
• W4384407303 abstract "Abstract Aim The development of biomarkers that can reliably and early predict response to immune checkpoint inhibitors (ICIs) is crucial in melanoma. In recent years, the gut microbiome has emerged as an important regulator of immunotherapy response, which may, moreover, serve as a surrogate marker and prognosticator in oncological patients under immunotherapy. Aim of the present study is to investigate if physiologic colonic [ 18 F]FDG uptake in PET/CT before start of ICIs correlates with clinical outcome of metastatic melanoma patients. The relation between [ 18 F]FDG uptake in lymphoid cell-rich organs and long-term patient outcome is also assessed. Methodology One hundred nineteen stage IV melanoma patients scheduled for immunotherapy with ipilimumab, applied either as monotherapy or in combination with nivolumab, underwent baseline [ 18 F]FDG PET/CT. PET/CT data analysis consisted of standardized uptake value (SUV), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) calculations in the colon as well as measurements of the colon-to-liver SUV ratios (CLR mean , CLR max ). Visual grading of colon uptake based on a four-point scale was also performed. Moreover, the spleen-to-liver SUV ratios (SLR mean , SLR max ) and the bone marrow-to-liver SUV ratios (BLR mean , BLR max ) were calculated. We also measured serum lipopolysaccharide (LPS) levels as a marker for bacterial translocation and surrogate for mucosal defense homeostasis. The results were correlated with patients’ best clinical response, progression-free survival (PFS), and overall survival (OS) as well as clinical signs of colitis. Results Median follow-up [95%CI] from the beginning of immunotherapy was 64.6 months [61.0–68.6 months]. Best response to treatment was progressive disease (PD) for 60 patients, stable disease (SD) for 37 patients, partial response (PR) for 18 patients, and complete response (CR) for 4 patients. Kaplan–Meier curves demonstrated a trend for longer PFS and OS in patients with lower colonic SUV and CLR values; however, no statistical significance for these parameters as prognostic factors was demonstrated. On the other hand, patients showing disease control as best response to treatment (SD, PR, CR) had significantly lower colonic MTV and TLG than those showing PD. With regard to lymphoid cell-rich organs, significantly lower baseline SLR max and BLR max were observed in patients responding with disease control than progression to treatment. Furthermore, patients with lower SLR max and BLR max values had a significantly longer OS when dichotomized at their median. In multivariate analysis, PET parameters that were found to significantly adversely correlate with patient survival were colonic MTV for PFS, colonic TLG for PFS, and BLR max for PFS and OS. Conclusions Physiologic colonic [ 18 F]FDG uptake in PET/CT, as assessed by means of SUV, before start of ipilimumab-based treatment does not seem to independently predict patient survival of metastatic melanoma. On the other hand, volumetric PET parameters, such as MTV and TLG, derived from the normal gut may identify patients showing disease control to immunotherapy and significantly correlate with PFS. Moreover, the investigation of glucose metabolism in the spleen and the bone marrow may offer prognostic information." @default.
• W4384407303 created "2023-07-16" @default.
• W4384407303 creator A5008622761 @default.
• W4384407303 creator A5009730934 @default.
• W4384407303 creator A5042928060 @default.
• W4384407303 creator A5044583234 @default.
• W4384407303 creator A5067776208 @default.
• W4384407303 creator A5075067956 @default.
• W4384407303 date "2023-07-15" @default.
• W4384407303 modified "2023-10-16" @default.
• W4384407303 title "Can physiologic colonic [18F]FDG uptake in PET/CT imaging predict response to immunotherapy in metastatic melanoma?" @default.
• W4384407303 cites W194704796 @default.
• W4384407303 cites W1963188018 @default.
• W4384407303 cites W1965437294 @default.
• W4384407303 cites W1966631228 @default.
• W4384407303 cites W2037851717 @default.
• W4384407303 cites W2097995306 @default.
• W4384407303 cites W2100158834 @default.
• W4384407303 cites W2104527839 @default.
• W4384407303 cites W2111180802 @default.
• W4384407303 cites W2112146497 @default.
• W4384407303 cites W2121071739 @default.
• W4384407303 cites W2128035403 @default.
• W4384407303 cites W2143520384 @default.
• W4384407303 cites W2145427665 @default.
• W4384407303 cites W2152897456 @default.
• W4384407303 cites W2160056126 @default.
• W4384407303 cites W2165456770 @default.
• W4384407303 cites W2166662937 @default.
• W4384407303 cites W2168234885 @default.
• W4384407303 cites W2185075416 @default.
• W4384407303 cites W2560367415 @default.
• W4384407303 cites W2572174216 @default.
• W4384407303 cites W2587048937 @default.
• W4384407303 cites W2601055810 @default.
• W4384407303 cites W2752787332 @default.
• W4384407303 cites W2765314233 @default.
• W4384407303 cites W2766903152 @default.
• W4384407303 cites W2767597887 @default.
• W4384407303 cites W2783137027 @default.
• W4384407303 cites W2792009063 @default.
• W4384407303 cites W2887435797 @default.
• W4384407303 cites W2899833080 @default.
• W4384407303 cites W2901981209 @default.
• W4384407303 cites W2903343893 @default.
• W4384407303 cites W2904774275 @default.
• W4384407303 cites W2912888159 @default.
• W4384407303 cites W2945590213 @default.
• W4384407303 cites W2946597732 @default.
• W4384407303 cites W2963090579 @default.
• W4384407303 cites W2974496516 @default.
• W4384407303 cites W2994504641 @default.
• W4384407303 cites W3004904117 @default.
• W4384407303 cites W3012796117 @default.
• W4384407303 cites W3016434983 @default.
• W4384407303 cites W3020510525 @default.
• W4384407303 cites W3026905936 @default.
• W4384407303 cites W3045969931 @default.
• W4384407303 cites W3096950825 @default.
• W4384407303 cites W3113928115 @default.
• W4384407303 cites W3118789536 @default.
• W4384407303 cites W3119474556 @default.
• W4384407303 cites W3136239231 @default.
• W4384407303 cites W3196797415 @default.
• W4384407303 cites W3197265554 @default.
• W4384407303 cites W4225394054 @default.
• W4384407303 cites W4225424766 @default.
• W4384407303 cites W4225551233 @default.
• W4384407303 cites W4281491336 @default.
• W4384407303 cites W4283639986 @default.
• W4384407303 cites W4296681502 @default.
• W4384407303 cites W4312465893 @default.
• W4384407303 cites W4318827409 @default.
• W4384407303 cites W4323031394 @default.
• W4384407303 doi "https://doi.org/10.1007/s00259-023-06327-9" @default.
• W4384407303 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37452874" @default.
• W4384407303 hasPublicationYear "2023" @default.
• W4384407303 type Work @default.
• W4384407303 citedByCount "0" @default.
• W4384407303 crossrefType "journal-article" @default.
• W4384407303 hasAuthorship W4384407303A5008622761 @default.
• W4384407303 hasAuthorship W4384407303A5009730934 @default.
• W4384407303 hasAuthorship W4384407303A5042928060 @default.
• W4384407303 hasAuthorship W4384407303A5044583234 @default.
• W4384407303 hasAuthorship W4384407303A5067776208 @default.
• W4384407303 hasAuthorship W4384407303A5075067956 @default.
• W4384407303 hasBestOaLocation W43844073031 @default.
• W4384407303 hasConcept C121608353 @default.
• W4384407303 hasConcept C126322002 @default.
• W4384407303 hasConcept C141341695 @default.
• W4384407303 hasConcept C143998085 @default.
• W4384407303 hasConcept C199374082 @default.
• W4384407303 hasConcept C2775842073 @default.
• W4384407303 hasConcept C2777658100 @default.
• W4384407303 hasConcept C2777701055 @default.
• W4384407303 hasConcept C2780030458 @default.
• W4384407303 hasConcept C2780057760 @default.
• W4384407303 hasConcept C2781433595 @default.

• next