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  • 1
    Publication Date: 2016-12-02
    Description: Background: Glucocorticoids has been a backbone of various treatment regimens for multiple myeloma (MM). The repeated and chronic use of high doses of glucocorticoids is associated with development of secondary adrenal insufficiency (AI), and AI could be a major problem in critically-ill patients. However, there has been no specialized data about incidence and clinical significance of secondary AI in hospitalized patients with MM. Purpose: The objective of this retrospective study is to evaluate incidence, predictive factors, and clinical significance of secondary AI in hospitalized patients with MM. Methods: We retrospectively evaluated medical records of MM patients who were hospitalized in Chonnam National University Hwasun Hospital, South Korea from December 2014 to December 2015. The definite AI was diagnosed when the peak cortisol concentration was less than 〈 500 nmol/L (18 mcg/dL) after ACTH administration. Results: Between December 2014 and December 2015, 77 patients were hospitalized, and 58 underwent rapid ACTH stimulation test. The most frequent cause of hospitalization was infection (70.7%), followed by weakness (24.1%), and the others (5.3%). The definite AI was confirmed in 19 patients (32.7%). To evaluate the predictive factors of AI, all variables including clinical characteristics, laboratory results, cumulative steroid dose, and treatment duration at hospitalization were analyzed, but there were no significant predictors for AI. In addition, the patients with AI had a significantly poor survival outcomes compared to those without AI (the median overall survival of 42.3 months vs. 82.7 months; P = 0.037) (Figure 1). Conclusions: This study showed that the secondary AI is not a rare condition among hospitalized patients with MM, and there was no specific predictable symptoms or signs. In addition, development of AI in the treatment period is associated with a poor prognosis. This study suggests that evaluation of AI is routinely needed in hospitalized patients with MM. Disclosures No relevant conflicts of interest to declare.
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  • 2
    Publication Date: 2018-11-29
    Description: Introduction Recent studies utilizing NGS demonstrated that residual allelic burden at complete remission (CR) is associated with worse overall survival (OS) and relapse incidence in AML. Quantitative PCR (qPCR) based disease monitoring is current practice in CBF-AML. However, qPCR requires standardization and the result for the same sample may vary depending on several factors. Also, other known prognostic factors such as cKIT mutation require an additional test. As RNA-seq can detect gene rearrangement as well as somatic mutations, we hypothesized that RNA-seq on samples taken at diagnosis and at remission can be used to monitor these genetic alterations simultaneously and can be utilized for minimal residual disease (MRD) monitoring in CBF-AML. Patients and Methods This study included 42 CBF-AML patients (23 RUNX1-RUNX1T1 and 19 CBFB-MYH11 AML). Overall, 84 bone marrow samples (42 diagnosis-CR pairs) were subjected to targeted RNA-seq using Illumina TruSight Pan-Cancer panel. After read mapping, gene count was measured using HTSeq followed by DEseq2 for gene expression quantification. Average number of sequenced reads was 3.5M reads with 87% overall mapping rate. Gene fusions in diagnostic samples were detected using EricScript. All 84 samples as well as 42 samples from T-cell fraction (CD3+, as a control) were also subjected to DNA sequencing, targeting a panel of 84 genes (Agilent SureSelect custom gene panel). Average on-target coverage was 1,606x. All other computational analyses were done using R and python. Results In diagnostic samples, class-defining gene fusion events were detected in all 42 patients. In CR samples, we tracked identical junctions identified in corresponding diagnostic samples. As expected, both CBFB-MYH11 and RUNX1-RUNX1T1 showed significant reduction in all CR samples compared to their corresponding diagnostic samples (p 〈 2.2e-13 and p 〈 6.3e-05, Fig A and B). CBFB-MYH11 was detectable in 6/19 CR samples (32%) and RUNX1-RUNX1T1 was detectable in 15/23 CR samples (65%). Reduction level of RUNX1-RUNX1T1 measured by RNA-seq showed positive correlation with the reduction level measured by qPCR (Pearson's Rho = 0.74, p 〈 5.4e-05, Fig C). As per mutational profile at diagnosis, we detected 74 mutations in 38 samples (n=38/42, 90%). NRAS (36%), KIT (36%), KRAS (17%) and, ASXL2 (17%) were commonly mutated. Survival analyses on each gene and each protein locus identified cKIT-D816 mutation as an adverse prognostic factor (HR = 3.57, [1.15 - 11.11], p = 0.028). We were able to detect all cKIT-D816 mutations in RNA-seq. Using information from NGS, we built a prognostic model for RUNX1-RUNX1T1 AML (n = 23). Decision tree analysis identified three distinct subgroups of RUNX1-RUNX1T1 AML on the basis of reduction level of RUNX1-RUNX1T1 and mutation profile (Fig D). Consistent with previous studies, 3-log or deeper reduction of RUNX1-RUNX1T1 transcript level was the most significant prognostic factor (low risk group). The algorithm further divided the patients who failed to achieve 3-log reduction according to the presence of cKIT-D816 mutation at diagnosis (intermediate and high risk group). For three defined groups, 2-year OS rates were 87%, 74%, and 33% (p = 0.08, Fig E) and 2-year relapse incidence rates were 13%, 42%, and 67% (p = 0.048, Fig F). Conclusion RNA-seq can be utilized to quantify RUNX1-RUNX1T1 and CBFB-MYH11 transcripts on diagnostic and CR samples in CBF-AML. We also showed that RNA-seq can stratify RUNX1-RUNX1T1 AML patients into three risk groups according to their long-term prognosis. Figure. Figure. Disclosures No relevant conflicts of interest to declare.
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  • 3
    Publication Date: 2016-12-02
    Description: Introduction: The discoveries of JAK2-V617F as well as MPL and CARL mutations have greatly clarified the underlying genetics of Philadelphia negative myeloproliferative disease (MPN). Mutation status on these three genes, especially JAK2-V617F, can characterize over 90% of MPN patients. However, the heterogeneity of MPN in terms of its AML transformation and treatment response remains unclear. To assess the difference in mutational status between MPN patients who progress to secondary AML and those who do not, we aim to examine longitudinal samples taken from multiple time points using next generation sequencing. Patients and Methods: Bone-marrow (BM) samples were collected from 19 MPNpatientsfrom2003 to 2012atChonnamNational UniversityHwasunHospital.The diagnosis of MPN was established according to the revised criteria of the World Health Organization.Longitudinal samples were taken at the time of diagnosis and at a follow-up as well as its T-cell fractions (CD+3) isolated from the peripheral blood using MAC separation column.Targeted sequencing was performed using an Agilent custom probe set of a panel of 84 myeloid genes. We multiplexed and sequenced the samples using an IlluminaHiseq2000. Results: The mean on-target coverage for the 57 sequenced samples was 861.4x. We detected a total of 48 somatic mutations in 25 genes in 17 patients (89%) throughout the course of the disease. Five of the 25 genes were recurrently mutated (JAK2, IDH2, ASXL1, SRSF2 and, TP53). As expected, JAK2-V617F was the most commonly observed (15/17 patients). One of the patients without JAK2-V617F carried a MPL mutation and another was triple negative.At the time of follow-up, 12 patients had chronic MPN (11 stable disease and 1 spleen response) withRuxolitinib treatment for a median duration of 373 days (range 255 - 729). Among 7 progressed patients, 5 patients had additional mutation at diagnosis of MPN other than JAK2 or MPL: MPN-13 (DNMT3A and ASXL1), MPN-14 (SRSF2 and IDH2), MPN-15 (IDH2), MPN16 (U2AF1), MPN-17 (IDH2 and SRSF2) as shown in figures. On the other hand, 4/12 non-progressed patients carried additional mutations: MPN-01 (ZRSR2), MPN-05 (ASXL1, CBL, FGR, KMT2D and TET2), MPN-10 (ASXL1, CDH13, EED, EZH2, MN1, NF1 and TRRAP), MPN-11 (FOXP1). In summary, only ASXL1 and JAK2-V617F were recurrently mutated among the non-progressed group. At the time of leukemic transformation, 6 out of 7 patients acquired new mutations: MPN-13 (SETBP1 and TP53), MPN-14 (RUNX1, ASXL1, and IDH1), MPN-15 (TP53 and CASP8), MPN-16 (TP53), MPN-18 (CEBPA), and MPN-20 (ASXL1). In the remaining case (MPN-17), increase of JAK2-V617F VAF was also observed. In summary, TP53 mutation was the most common mutation to acquire by the time of leukemic transformation (n=3). Other mutations acquired by this stage were in SETBP1, RUNX1, IDH1, CEBPA, and ASXL1. We did not observe any significant difference in the allelic burden increase of JAK2-V617F from diagnosis to follow-up between the non-progressed and progressed groups (Figure A). Conclusion: There is no significant difference in mutation burden increase of JAK2-V617F between patients who progressed to secondary AML and patients that did not. Acquisition of mutations other than JAK2-V617F at both diagnosis and at follow-up is associated with the risk of transformation to secondary AML. Mutation profiling using a myeloid gene panel at timed follow-up after MPN diagnosis can be more helpful than monitoring JAK2-V617F status in these patients. Figure Figure. Disclosures No relevant conflicts of interest to declare.
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  • 4
    Publication Date: 2015-12-03
    Description: Background: Stem cells display remarkably high levels of 5-hydroxymethylcytosine (5hmC) and, both TET2 or IDH1/2 mutations can impair 5hmC generation. However, the implications of 5hmC have not been evaluated comprehensively in patients with normal karyotype (NK)-AML, especially in aspect of prognostic value in survivals. Methods: A total of 407 patients were included in the present study, and all met the following eligibility criteria: 1) age ≥ 15 years; 2) a diagnosis of NK-AML confirmed by conventional cytogenetic analysis; and, 3) treatment with induction chemotherapy using a standard protocol (a 3-day course of anthracycline with a 7-day course of cytosine arabinoside). NK-AML patients were diagnosed from October 1998 to September 2012 in seven participating institutes. Among 407 patients with NK-AML who received induction therapy, we selected the 376 patients available the analysis of 5-hmC, retrospectively. For quantitation of 5hmC, Quest 5-hmC DNA ELISA kits (Zymo Research) were used following the manufacturer's protocol. TET2 or IDH1/2 mutation analysis were performed using direct sequencing. We analyzed for 5hmC levels in patients with TET2 or IDH1/2 mutations and, to know the correlation of 5hmC levels with mutant alleles. Results: The prevalence rates for the mutations were 13.0% in TET2mut, 7.2% in IDH1 and,14.1% in IDH2mut. Mutation rates of TET2 or IDH1/2 was 34.6% (130/376). We examined whether the range of 5hmC values correlated with each mutations. TET2, IDH1/2 mutated patients had significant lower levels of 5hmC compared with patients without any TET2 or IDH1/2 mutations (all, p0.05). To identify the role of 5hmC levels in clinical significances, we sub-classified this group with tertile category for 5hmC values. However, we could not find the clinical significant in OS, EFS and relapse risk according to the 5hmC levels (all, p〉0.05). Conclusion: TET2 or IDH1/2 mutated patients had lower levels of 5hmC. 5hmC levels distributed with wide range in patients with TET2 and IDH1/2 wild type and tightly clustered in patients with TET2, IDH1 or IDH2 mutations. Apart from affecting the methylation status of the DNA, other processes may be influenced by 5hmC levels in patients with NK-AML with TET2 wild-type and IDH1/2 wild type. In addition, 5hmC may not be a prognostic value to predict the survivals of relapse risk in NK-AML. Disclosures Jang: Alexion Pharmaceuticals: Research Funding. Kim:Novartis Pharmaceuticals: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding.
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  • 5
    Publication Date: 2018-11-29
    Description: Purpose : This study evaluated the prognostic role of 18F-FDG PET/CT at baseline in patients with newly diagnosed multiple myeloa (MM) and evaluated the prognostic relevance of 18F-FDG PET/CT for each stage according to the Revised International Staging System (R-ISS). Method: We retrospectively analyzed the records of 167 patients with newly diagnosed MM. 18F-FDG PET/CT was performed prior to induction therapy in patients with newly diagnosed MM. A Focal lesions (FL) at diagnosis was defined as focally increased FDG uptake greater than the physiologic bone marrow or liver uptake, with or without any underlying lesion. Extramedullary disease (EMD) was defined as FDG-avid soft tissue that was not contiguous to bone. Results: A total of 102 patients (61.1%) had at least one FL at diagnosis, and 44.9% had more than three FLs. EMD was present in 13.2% of all patients. In the total cohort, the presence of more than three hypermetabolic FLs or EMD on baseline PET/CT was associated with significantly inferior progression free survival (PFS) and overall survival (OS) than other patients. Because most patients (91%) with EMD had more than three FLs, PET/CT positivity was defined as the presence of more than three FLs or the presence of EMD. The C-reactive protein level was higher (0.550 vs. 0.245 mg/L, P = 0.004) and the serum albumin level was lower in the PET/CT-positive group (3.5 vs. 3.6 g/dL, P = 0.040). Patients who were PET/CT-positive had a significantly lower complete response rate after first-line therapy compared with those who were PET/CT-negative (15.6% vs. 34.4%, P = 0.007). In multivariate analyses, PET/CT positivity was an independent predictor of PFS and OS in all patients. Fifty-five patients (46.1%) with R-ISS II were PET/CT-positive at baseline and had significantly shorter PFS and OS. PET/CT positivity was also correlated with poor PFS and OS in patients with R-ISS III. Conclusion : 18F-FDG PET/CT was an independent predictor of survival outcomes in patients with newly diagnosed MM. In addition, performing 18F- FDG PET/CT at diagnosis may be useful for determining the survival outcomes of MM patients with R-ISS II and III. Figure. Figure. Disclosures No relevant conflicts of interest to declare.
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  • 6
    Publication Date: 2018-11-29
    Description: Introduction NGS-based detection of minimal residual disease (MRD) has been successfully demonstrated for its correlation with relapse risk in AML. However, in a subtype of AML, CBF-AML, its clinical relevance of residual allelic burden at complete remission (CR) has not been fully explored. The standard MRD detection method in CBF-AML is quantitative PCR (qPCR). In this study, we aimed to explore applicability and feasibility of NGS-based MRD detection in CBF-AML taking various approaches, rather than simply using residual allele burden at CR. Patients and Methods Fifty-three patients (pts) diagnosed with CBF-AML were enrolled in this study (31 pts with RUNX1-RUNX1T1 and 22 pts with CBFB-MYH11). All 53 patients achieved complete remission (CR). We performed targeted deep sequencing on 84 genes in 106 samples collected at diagnosis and at CR as well as T-cell (n = 53, CD3+) fraction as a control using Illumina Hiseq 2500. Mean on-target coverage for 159 sequenced was 1,572x. The level of RUNX1-RUNX1T1 was measured at diagnosis and at CR for 29 patients using qPCR. Results At diagnosis, 99 mutations from 49 pts (n = 49/53, 92%) were detected, where median number of mutations for 49 pts was 2 (range 1-6). Consistent with previous studies, KIT (36%), NRAS (32%), KRAS (17%), ASXL2 (15%) were commonly mutated. Among mutations detected at diagnosis, cKIT-D816 mutation and mutations in genes in DNA methylation pathway (DNMT3A and TET2) were associated with higher risk of relapse (5.29, [1.89 - 14.87], p = 0.002 and 3.15 [1.07 - 9.26], p= 0.037, respectively). In CR samples, 46 mutations from 32 pts were still detectable (46/99, 46%, mean VAF: 0.60%, range 0.04%-6.28%, Fig A). Only 4 mutations from 2 pts were over 2.5% (2 in TET2, 1 in ASXL1, and 1 in U2AF1). When tracing back at diagnosis, allelic burden of 46 mutations detected at remission were higher than 53 cleared mutations (p 〈 0.002), indicating clonal mutations are more likely to be detected at CR (Fig A). They were mostly in genes associated with activated signaling (32/46, 70%). When considering complete clearance rate, mutations in genes associated with activated signaling, DNA methylation, and spliceosome tended to be persistent at CR (32/64, 4/5, and 1/1), whereas mutations in cohesin complex and chromatin modifiers were mostly completely cleared (0/8 and 4/13). We then assessed clinical relevance of mutation clearance from various perspectives. We did not find association of mutation clearance at 0.3% (MC03) with OS (p = 0.43) or with relapse risk (p = 0.8, Fig B). Complete mutation clearance also did not show significant association with OS and relapse risk. Among 29 pts with RUNX1-RUNX1T1 with available qPCR data, 20 pts were MRD-positive by qPCR at CR. Nine pts who achieved MRD-negative also achieved MC03 as well. When considering only MRD-positive pts, achievement of MC03 did not affect OS (p = 0.69) and relapse incidence (p = 0.86, Fig C). Lastly, we assessed whether persistence of high risk mutations at CR (cKIT-D816, DNMT3A, and TET2) is associated with higher risk of relapse, but complete clearance of KIT-D816 mutation also did not affect OS and relapse incidence (p = 0.94 and p = 0.40, respectively, Fig D). We were not able to analyze DNMT3A and TET2 mutations as only 1/5 mutation was cleared. Conclusion Current study demonstrates that low residual allelic burden measured by NGS at CR does not provide additional clinically relevant information in addition to baseline mutation profile nor qPCR-based MRD in CBF-AML Figure. Figure. Disclosures No relevant conflicts of interest to declare.
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  • 7
    Publication Date: 2018-10-11
    Description: Key Points Higher allelic burden at day 21 of post-HCT is associated with higher risk of relapse and mortality. Longitudinal tracking of AML patients receiving HCT is feasible and provides clinically relevant information.
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  • 8
    Publication Date: 2016-12-02
    Description: Background and Objectives Acute Myeloid Leukemia (AML) is a cytogenetically and molecularly heterogeneous disease. In the recent decades, many genetic mutations and their clinical significances in AML have been identified with the development of new genomics technology. Based on these advances, new 2 entities were added to the WHO 2008 classification : AML with mutated NPM1 and AML with mutated CEBPA. Likewise, AML with RUNX1 mutation are now considered as a new provisional entity in the next update of WHO classification. In this work, we characterized patients with cytogenetically normal AML according to RUNX1 mutational status and analyzed several co-mutations by next generation sequencing. Patients and Methods A total of 419 patients were included in the present study who met the following eligibility criteria: 1) age ≥ 15 years; 2) a diagnosis of AML with normal karyotype confirmed by conventional cytogenetic analysis. Analysis of genetic mutations were performed using targeted resequencing by Illumina Hiseq 2000 (Sureselect custom probe set targeting 94 myeloid gene panel including RUNX1 mutation). Samples for the confirmation of first complete response were also analyzed in 163 patients. The majority of patients (97%) received '3+7' standard induction chemotherapy. Median age was 53(range 15-84). Results Overall, most common mutations for this cohort were NPM1(33.9%), DNMT3A(30.3%), NRAS(20.2%), IDH2(15.0%), FLT3(12.2%), CEBPA(11.1%). RUNX1 mutations were found in 22 of 419 (5.4%) patients. 7 of 13 available samples in complete remission still had RUNX1 mutation. The patients with RUNX1 mutations were older than those with wild-type RUNX1. (p=0.006) and RUNX1 mutation had a trend of male preponderance. The WBC count and blast percentage of peripheral blood and bone marrow were not different according to RUNX1 mutational status. The complete response rate was significantly lower in RUNX1 mutated group compared with wild-type group. (57% vs. 84%, p=0.005) In univariable survival analysis, RUNX1 mutations were significantly associated with inferior event-free survival (EFS) (p
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  • 9
    Publication Date: 2016-12-02
    Description: Introduction: Myelodysplastic syndromes (MDS) are clonal hematopoietic disorders characterized by dysplastic changes in one or more cellular lineages causing impaired bone marrow function. One third of patients diagnosed with MDS progress to secondary acute myeloid leukemia (sAML). These patients have significantly worse prognoses than de novo AML patients. Azacitidine (AZA), a hypomethylating agent is commonly used to treat MDS patients as a frontline therapy. Although its survival benefits over supportive care in a randomized trial has been demonstrated, the underlying genetics and clonal dynamics upon AZA response/AML progression have not been well examined. Using next generation sequencing (NGS) technology, we attempted to assess the clinical relevance of somatic mutations and their dynamics as they relate to AZA treatment in MDS patients using longitudinal samples. Patients and Methods: Ninety-five MDS patients (56 lower risk and 39 higher risk MDS based on the revised IPSS scoring system) were enrolled in this study. The median age of the 95 patients is 67 years (range of 31 Ð 84) and median follow-up duration was 747 days (range of 137-3328 days). We performed targeted deep sequencing (entire exon region of a panel of 84 myeloid genes, Agilent custom probe set) on 285 bone-marrow samples including the longitudinal samples taken at diagnosis (n=95) and post-AZA treatment, (median 4 cycles) as well as T-cell fraction (CD3+). We multiplexed and sequenced the samples using an Illumina Hiseq 2000. After read mapping and variant calling, hierarchical clustering, pathway and survival analyses were performed in R. Results: Targeted sequencing on the myeloid gene panel revealed 176 mutations in 68 patients (68/95, 71.6%) with a median of 2 mutations per patient (ranges 2-6). The average on-target coverage for 285 sequenced samples was 1205x. Twenty-five of 44 mutated genes were recurrently mutated. ASXL1 was the most frequently mutated in the cohort (21%), followed by TET2 (15%), DNMT3A (11%), and SRSF2 (11%). Mutated genes were then grouped into 8 biological pathways, defined in The Cancer Genome Atlas (TCGA) AML study. The most frequent biological pathway with mutated genes at diagnosis was DNA methylation (28.4%), followed by spliceosome (25.2%), chromatin modifiers (22.1%), myeloid transcription factors (TFs) (11.6%), activated signaling (11.6%), tumor suppressors (12.6%), and cohesin complex (6.3%). When assessing the differences in patterns of variant allele frequency (VAF), we found significant VAF reduction in responders compared to non-responders (p = 0.007, repeated measures using general linear model, Figure A). Multivariate analyses revealed that mutation burden in different genes and biological pathways have distinct impact on AZA response, AML transformation, and overall survival. Higher bone marrow blast percentage (5%) was associated with all three measures (Figure B). Most significantly, mutations in activated signaling pathway genes are associated with AML progression (p=0.002). In addition, we could not detect decreased VAFs in activated signalling pathway genes even in responders (Figure C-D). Patients with SRSF2 mutations tend to respond to AZA (OR 14.084, p=0.003). Mutations in tumor suppressors (HR 4.825, p
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  • 10
    Publication Date: 2015-12-03
    Description: Background 18 F-FDG PET is currently used in diffuse large B-cell lymphoma (DLBCL) for staging and evaluation of therapeutic efficacy at various time points. Nevertheless, the predictive value of interim PET/CT (iPET/CT) has not been consistent throughout the studies. Since FDG is not a tumor-specific substance, it may accumulate to the point of being detected in a variety of benign conditions or infectious lesions, which may give rise to false positive interpretation. Particularly, iPET/CT assessment in patients with multifocal, non-contiguous involvement at extranodal (EN) sites may result in a false determination of prognosis due to tracer uptake of inflammatory or physiologic anatomic sites, which could contribute to the variability in outcomes and the poor reproducibility. Therefore, the purpose of this study is to investigate the predictive accuracy of iPET/CT response based on visual and quantitative SUV-based assessments in patients with DLBCL and EN involvements. Methods iPET/CT responses for 163 patients with newly diagnosed DLBCL and EN involvements were investigated retrospectively. iPET/CT responses were based on the visual and quantitative SUV-based assessments. Briefly, the assessment of PET/CT was performed at the time of diagnosis, at the third or fourth cycles and at the completion of R-CHOP. For visual assessment, the five-point scale (5-PS) based on the Deauville criteria was used and graded as negative or positive by comparison with initial PET/CT scan and grade 1-3 were considered as negative and grade 4-5 were considered the residual metabolic response. Second, we classified patients using the quantitative analysis of 18 F-FDG uptake changes based on the percentage of SUVmax reduction (DSUVmax) between initial and interim PET/CT scans. The cutoff points of DSUVmax were 65.7% based on previous reports. Results Median age was 61 years (range 18-83 years) and 88 patients (54.0%) in advanced disease (III/IV). Patients were classified according to the IPI risk with 95 patients (58.3%) being classified as low or low-intermediate and 68 patients (41.7%) as high-intermediate or high risk. Number of extranodal site(s) were 1 site in 102 patients (62.6%), 2 sites in 39 (23.9), 3 sites in 18 (11.0), and 4 sites in 4 (2.5%). iPET/CT responses based on visual analysis were classified into grade 1-3 of 5-PS in 99 patients (60.7%) and grade 4-5 in 64 (39.3%), and based on SUV-based, classified into higher the cutoff of DSUVmax (〉65.7%) in 140 patients (85.9%) and lower (67.5%). The 5-year overall survival (OS) rates and progression free survival (PFS) rates were 75.6±3.8% vs 60.6±11.7% (p=0.056), and 77.9±3.7% vs 55.9±12.1% (p=0.007) depending on the cutoff of DSUVmax, respectively. Among the patients with 1 EN involvement, DSUVmax successfully predict the long-term outcomes in terms of 5yr-OS (83.2±4.3% vs 62.1±14.6%, p=0.012) and PFS (86.9±3.9% vs 41.3±16.6%, p
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