Prognostic Assessment In Patients With Chronic Lymphocytic Leukemia (CLL) In Clinical Practice: A European Research Initiative On CLL (ERIC) Survey

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 4156-4156
Author(s):  
Carol Moreno ◽  
Stephan Stilgenbauer ◽  
Marco Montillo ◽  
Robak Tadeusz ◽  
Eva Kimby ◽  
...  

Abstract Background Although recommendations for assessing prognosis in patients with CLL have been formulated (IWCLL, 2008; ESMO, 2013; NCCN, 2013), the actual use of prognostic and predictive markers in patients with CLL seen in daily practice is unknown. Study objectives To ascertain the use of prognostic and predictive markers in patients with CLL not included in trials. Methods Three-hundred and eighty-two members included in the ERIC database were invited to participate in a survey which included a comprehensive list of parameters potentially useful to evaluate patients with CLL at three different steps: 1. At diagnosis; 2. During clinical course; 3. Before therapy. Results One-hundred sixteen out of the 382 ERIC members (30%), mainly from academic institutions (91%), participated in the survey. Here we present a summary of this study which can be seen at its full length at www.ericll.org Prognostic factors at diagnosis The most frequently evaluated parameters (by > 80% of the participants) are: age, disease stage, ECOG, B-symptoms, WBC count, LDT, tumor bulk, DAT, LDH and B2M; CIRS is evaluated by 45% and only 7% measure sTK routinely. CD38 is assessed by virtually all investigators, but not ZAP-70 (58%) nor CD49d (24%). Imaging studies are frequently employed: ultrasonography (US) (51%), CT (21%). PET/CT is never investigated at diagnosis. FISH for 13q-, 11q-, 17p-, and +12 is required by > 70%. Among biomarkers, those more frequently used are IGHV mutational status (54%) and TP53 mutations (25%). As per the newly described gene mutations around 20% of the participants would like to determine mutations of NOTCH1, SF3B1, MYD88, and BIRC3 should they be available. Prognostic factors over the course of the disease Sixty percent of participants re-assess prognostic parameters over the course of the disease. Bone marrow (aspirate/biopsy), lymph node biopsy and imaging studies are performed in subjects with progressive disease. However, 72% of the participants never use PET/CT, which does not seem to be related to the technique availability since only 3% of the participants would use PET/CT if available. Parameters studied before initiating treatment Beside standard clinical parameters, other features frequently evaluated include ECOG (96%), DAT (77%), CIRS (66%) and bone marrow (45%). US, CT scans, and PET/CT are routinely (or occasionally) assessed by 45% (52%), 39% (42%), and 3% (42%) of the investigators, respectively. IGHV mutational status is repeated by a few participants (19%). 17p- and 11q- are studied by 79% and 68% of the investigators, respectively. Likewise, TP53 mutations are routinely (or occasionally) investigated by 40% (27%), NOTCH1 by 6% (13%), SF3B1 by 6% (12%), MYD88 by 4% (10%), and BIRC3 by 4% (9%). Most (89%) investigators consider pre-treatment findings to select therapy, the clinical parameters frequently considered toward that end being age (80% of investigators), ECOG (43%) and CIRS (37%). Biologically, 17p- (79%) and TP53 mutations (40%) along with 11q- (48%) and 13q- (26%) are the most frequently investigated markers. Novel mutations are investigated by 9%-15% of participants and around 20% would use them if possible. Conclusions Although international recommendations are generally followed, the evaluation of patients with CLL at diagnosis includes in many cases parameters (e.g., 17p-, TP53 mutations) more useful as predictive (i.e., predicting response to therapy) than prognostic (i.e., predicting disease progression) factors, as well as ancillary studies (e.g., imaging studies) only recommended within clinical studies. In many instances prognostic markers are repeated over the course of the disease. Finally, treatment decisions are mainly based on clinical features and consolidated biomarkers (i.e., FISH cytogenetics, TP53 mutations). The results of this study need to be taken cautiously because of potential investigator-related biases and its relatively small sample size. However, it could be useful as a basis for refining, based on what is actually done in daily practice, recommendations about evaluation and prognostication of patients with CLL. Disclosures: Montillo: Roche: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding; GSK: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Mundipharma: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding.

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3021-3021
Author(s):  
Gregory Lazarian ◽  
Floriane Theves ◽  
Myriam Hormi ◽  
Virginie Eclache ◽  
Stéphanie Poulain ◽  
...  

TP53 aberrations, including somatic mutations of TP53 gene or 17p deletion leading to the loss of the TP53 locus, are a major predictive factor of resistance to fludarabin based chemotherapy in chronic lymphocytic leukemia (CLL) and remain an adverse prognostic factor in the chemofree era. Therefore, detection of TP53 alteration before each new line of treatment is required for theranostic stratification. In order to better characterize the distribution and combination of the TP53 variants in CLL, we collected the TP53 sequencing data of 343 patients harboring TP53 mutations from centers of the French Innovative Leukemia Organization-CLL (FILO) and established a large data base of 573 TP53 mutations. Mutations were identified through NGS sequencing (covering exon 2 to 11) allowing the detection of low frequency variants down to 1% VAF. Several distinct low VAF mutations were orthogonally confirmed by digital PCR. TP53 variants were analyzed through UMD_TP53 data gathering 90 000 TP53 mutations from all type of cancers. IGHV mutational status and FISH analysis were available for 224 and 176 patients respectively. Using ACMG criteria from the UMD_TP53 database, we confirmed that 523 could be classified as pathogenic, 42 were likely pathogenic and 8 were VUS (Variants of Unknown Significance). As expected, the mutation distribution along the p53 protein exhibited a clustering of variants in the DNA binding domain of the protein. We also confirmed the presence of a specific hotspot at codon 234 (6%) which is noticeable in other CLL cohorts but absent in solid tumors. 431 TP53 variants led to the expression of a mutant protein whereas the remaining 142 led a TP53 null phenotype. For 8 patients without 17p deletion and a mutation VAF larger than 50%, SNP analysis indicate that these tumors had a copy number neutral loss of heterozygosis at 17p with a duplication of the mutant allele leading to homozygous mutations of TP53. When focusing on the allele burden of TP53 mutations, 264/573 (46%) variants had an allele frequency <10%. Even if they were predominantly found in polymutated cases, presence of only low VAF (<10%) mutations was evidenced in 74 (21%) patients (50 patients with a single TP53 mutation and 24 patients with more than one). All these cases would have been missed by conventional sequencing. Among the 343 patients, 113 (33%) were poly-mutated and harbored more than one pathogenic TP53 variants (2 to 11 variants per patient): 57 (16,7 %) had 2 variants, 32 (9,3%) had 3, 10 had 4 (3%) and 14 patients (4%) had 5 to 11 variants. Using both long range sequencing and in silico analysis, we could show that all these variants were distributed in different alleles supporting an important intratumoral heterogeneity and a strong selection for TP53 loss of function during tumor progression in these patients. Null variants were rarely found as single alteration: only 46 patients (13,4%) patients harbored a single null mutation. Null mutations were predominantly found in patients with multiclonal mutations (87% with 4 or more). Median size of variants significantly decreased with the number of mutations and most of low VAF (less than 10%) variants were found in multiclonal combinations. Multiclonal mutations were predominantly found in previously treated patients (41% treated versus 10 % untreated) but whether all these variants preceded treatment and were further selected is currently unknown. We observed that 71,5 % of patients were IGHV unmutated and multiclonal mutations were surprisingly more frequent in mutated IGHV cases than in unmutated ones. Only 50% of cases carried a 17p deletion, highlighting again the importance of testing for TP53 mutations in addition to FISH analysis. Presence or absence of 17p deletion was unrelated to the number of TP53 mutations. Taken together these observations suggest that the TP53 mutational landscape in CLL is very complex and can involve multiple mechanisms, converging to a total loss of TP53 function and tumor progression. NGS provides a powerful tool for detecting all these alterations including variants with low VAF and should become a standard for CLL screening prior to each line of treatment. Disclosures Leblond: Amgen: Honoraria, Speakers Bureau; Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Gilead: Honoraria, Speakers Bureau; Astra Zeneca: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Letestu:Abbvie: Membership on an entity's Board of Directors or advisory committees, Other: speaker fee, expert contracts; Janssen: Membership on an entity's Board of Directors or advisory committees, Other: speaker fee, expert contracts; Roche: Membership on an entity's Board of Directors or advisory committees, Other: speaker fee, expert contracts; Alexion: Membership on an entity's Board of Directors or advisory committees, Other: speaker fee, expert contracts. Cymbalista:Abbvie: Honoraria; Roche: Research Funding; Sunesis: Research Funding; Gilead: Honoraria; Janssen: Honoraria; AstraZeneca: Honoraria.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 797-797
Author(s):  
Talha Badar ◽  
Mark R. Litzow ◽  
Rory M. Shallis ◽  
Jan Philipp Bewersdorf ◽  
Antoine Saliba ◽  
...  

Abstract Background: TP53 mutations occur in 10-20% of patients with AML, constitute high-risk disease as per ELN criteria, and confer poorer prognosis. Venetoclax combination therapies and CPX-351 were recently approved for AML treatment and lead to improved outcomes in subsets of high-risk AML, however the most effective approach for treatment of TP53-mutated (m) AML remains unclear. In this study we explored the clinical outcome of TP53m AML patients treated over the last 8 years as novel therapies have been introduced to our therapeutic armamentarium. Methods: We conducted a multicenter observational study in collaboration with 4 U.S. academic centers and analyzed clinical characteristics and outcome of 174 TP53m AML patients diagnosed between March 2013 and February 2021. Mutation analysis was performed on bone marrow specimens using 42, 49, 199, or 400 gene targeted next generation sequencing (NGS) panels. Patients with an initial diagnosis of AML were divided into 4 groups (GP) based on the progressive use of novel therapies in clinical trials and their approvals as AML induction therapy during different time periods: 2013-2017 (GP1, n= 37), 2018-2019 (GP2, n= 53), 2019-2020 (GP3, n= 48) and 2020-2021 (GP4, n= 36) to analyze difference in outcome. Results: Baseline characteristics were not significantly different across different GP, as shown in Table 1. Median age of patients was 68 (range [R], 18-83), 65 (R, 29-88), 69 (R, 37-90) and 70 (R, 51-97) years in GP1-4, respectively (p=0.40). The percentage of patients with de novo AML/secondary AML/therapy-related AML in GP1-4 was 40/40/20, 36/29/24, 37.5/37.5/25 and 28/52/20, respectively (p=0.82). The proportion of patients with complex cytogenetics (CG) was 92%, 89%, 96% and 94% in GP1-4, respectively (p=0.54). The median TP53m variant allele frequency (VAF) was 48% (range [R], 5-94), 42% (R, 5-91), 45% (R, 10-94) and 60% (R, 8-82) in GP1-4, respectively (p=0.38). Four (11%), 13 (24.5%), 10 (21%) and 9 (25%) patients had multiple TP53 mutations in GP1-4, respectively (p=0.33). The proportion of patients who received 3+7 (30%, 16%, 6% & 8%; p=0.01), HMA only (11%, 18%, 2% & 8%; p=0.06), venetoclax-based (2.5%, 12%, 48%, & 61%; p &lt;0.01) and CPX-351 induction (16%, 40%, 28% & 5%; p&lt;0.001) were varied in GP1-4, respectively. The rate of CR/CRi was 22%, 26%, 28% and 18% in GP1-4, respectively (p=0.63). Treatment related mortality during induction was observed in 3%, 7%, 10% and 17% of patients in GP1-4, respectively (p=0.18). Overall, 28 (16%) patients received allogeneic hematopoietic stem cell transplantation (alloHCT) after induction/consolidation: 22%, 15%, 17% and 11% in GP1-4, respectively (p=0.67). In subset analysis, there was no difference in the rate of CR/CRi with venetoclax-based regimens vs. others (39% vs 61%, p=0.18) or with CPX-351 vs. others (25% vs 75%, p=0.84). The median progression-free survival was 7.7, 7.0, 5.1 and 6.6 months in GP1-4, respectively (p=0.60, Fig 1A). The median overall survival (OS) was 9.4, 6.1, 4.0 and 8.0 months in GP1-4, respectively (p=0.29, Fig 1B). In univariate analysis for OS, achievement of CR/CRi (p&lt;0.001) and alloHCT in CR1 (p&lt;0.001) associated with favorable outcome, whereas complex CG (p=0.01) and primary refractory disease (p&lt;0.001) associated with poor outcome. Multiple TP53 mutations (p=0.73), concurrent ASXL1m (p=0.86), extra-medullary disease (p=0.92), ≥ 3 non-TP53m mutations (p=0.72), TP53m VAF ≥ 40% vs. &lt; 40% (p=0.25), induction with CPX-351 vs. others (p=0.59) or venetoclax-based regimen vs. others (p=0.14) did not show significance for favorable or poor OS in univariate analysis. In multivariable analysis, alloHCT in CR1 (hazard ratio [HR]=0.28, 95% CI: 0.15-0.53; p=0.001) retained an association with favorable OS and complex CG (HR 4.23, 95%CI: 1.79-10.0; p=0.001) retained an association with dismal OS. Conclusion: We present the largest experience with TP53m AML patients analyzed by NGS. Although outcomes were almost universally dismal, alloHCT appears to improve the long-term survival in a subset of these patients. Effective therapies are warranted to successfully bridge patients to alloHCT and to prolong survival for transplant ineligible patients. Figure 1 Figure 1. Disclosures Badar: Pfizer Hematology-Oncology: Membership on an entity's Board of Directors or advisory committees. Litzow: Omeros: Other: Advisory Board; Pluristem: Research Funding; Actinium: Research Funding; Amgen: Research Funding; Jazz: Other: Advisory Board; AbbVie: Research Funding; Astellas: Research Funding; Biosight: Other: Data monitoring committee. Shallis: Curis: Divested equity in a private or publicly-traded company in the past 24 months. Goldberg: Celularity: Research Funding; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; Aprea: Research Funding; Arog: Research Funding; DAVA Oncology: Honoraria; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Research Funding; Prelude Therapeutics: Research Funding; Aptose: Consultancy, Research Funding; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Atallah: BMS: Honoraria, Speakers Bureau; Takeda: Consultancy, Research Funding; Amgen: Consultancy; Abbvie: Consultancy, Speakers Bureau; Novartis: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Research Funding. Foran: revolution medicine: Honoraria; gamida: Honoraria; bms: Honoraria; pfizer: Honoraria; novartis: Honoraria; takeda: Research Funding; kura: Research Funding; h3bioscience: Research Funding; OncLive: Honoraria; servier: Honoraria; aptose: Research Funding; actinium: Research Funding; abbvie: Research Funding; trillium: Research Funding; sanofi aventis: Honoraria; certara: Honoraria; syros: Honoraria; taiho: Honoraria; boehringer ingelheim: Research Funding; aprea: Research Funding; sellas: Research Funding; stemline: Research Funding.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 7-8
Author(s):  
Maël Heiblig ◽  
Hélène Labussière ◽  
Marie Virginie Larcher ◽  
Gaelle Fossard ◽  
Marie Balsat ◽  
...  

Minimal residual disease is now a powerfull surrogate marker to assess response to chemotherapy in acute myeloid leukemia (AML). In younger adults, NPM1 MRD has recently demonstrated to be a favorable predictive marker for EFS and OS independently of fms-like tyrosine kinase-3 internal tandem duplications (FLT3-ITD) status. However, there is very few datas regarding predictive value of NPM1 MRD in elderly patients treated with intensive chemotherapy. Moreover, numerous studies have suggested the negative impact of DNMT3a mutation in NPM1 AML patients, especially in those with concurrent FLT3-ITD mutation. In this study, we aimed to investigate the impact of DNMT3a status on post induction NPM1 MRD1 predictive value for survival in a retrospective cohort of AML patients aged over 60 years old treated intensively. A total of 138 patients treated for NPM1 mutated AML in two French institutions (Lyon, Lille) were analyzed retrospectively. Median age of the entire cohort was 66.1 years old (range 60-78.2). An FLT3-ITD mutation was evidenced in 52 of 138 patients (37.6%) with a median FLT3-ITD AR of 0.53 (range, 0.05-3). With a median follow-up of 19.61 months (0.07-128.4), the overall CR rate was 89.9% with no influence of DNMT3a or FLT3 mutational status on the probability of CR. In this elderly cohort of NPM1mut patients, a 4log reduction of NPM1 bone marrow (BM) MRD1 was associated with better outcome (median OS: NR vs 13.4 months, HR=0.35, p&lt;0.01)(Figure A). Overall, DNMT3 status did not influence the probability of having a ≥ 4log MRD1 reduction after induction. However, only 9/44 (20.4%) FLT3-ITD patients reached ≥ 4log MRD1 reduction whereas 38/80 FLT3wt (47.5%) were good molecular responders (p&lt;0.001). FLT3-ITD mutated patients who achieved a 4log reduction had a superior outcome compared to those who did not (HR=0.34; 95% CI, 0.16 to 0.70; P &lt;0.001). Similarly, NPM1mut FLT3wt patients with a 4log reduction in NPM1 BM-MRD1 had a longer OS (3-year OS, 68.1%; 95% CI, 48.8 to 82.9) than those without good molecular response (3-year OS, 46.5%; 95% CI, 30.2 to 61.7)(Figure B). DNMT3a negative patients who achieved a 4log reduction had a superior outcome to those who did not reached at least a 4log reduction (HR=0.23; 95% CI, 0.07 to 0.72; P &lt;0.001). However, postinduction NPM1 MRD1 reduction was not predictive of OS and leukemia free survival (LFS) in DNMT3amut patients. DNMT3amut patients has a very poor LFS which was even worst in poor NPM1 MRD1 responders compared to those who reached at least 4log reduction (median LFS: 8.3 months vs 17.4 months, HR = 0.48, 95% CI, 0.25-0.91, p=0.023)(Figure C). In multivariate analysis, only DNMT3a mutational status and a 4-log reduction in NPM1 BM-MRD were significantly associated with survival. Based on these results, we identified among NPM1 positive patients 3 groups with distinct prognosis, based on FLT3-ITD, DNMT3a status and NPM1 BM-MRD post induction response (NPM1 scoring system)(Figure D). When compared to ELN 2017 intermediate risk group (AUC=0.695), NPM1 scoring system (NPM1 SS) was more accurate for OS prediction in patients within intermediate (AUC=0.833) and unfavorable (AUC=0.863) NPM1 SS risk group. However, there was no significant difference in AUC between NPM1 SS favorable and ELN 2017 favorable risk group. These results confirm that post-induction NPM1 MRD1 is a reliable tool to assess disease outcome in elderly AML patients. However, the presence of DNMT3a also identify a subgroup of patients at very high risk of relapase, despite good molecular responses. As hematopoietic stem cell transplantation (HSCT) might improve OS in elderly patients, DNMT3a positive AML elderly patients should be considered for HSCT or post induction maintenance strategies, even within the favorable ELN risk group. Figure Disclosures Sujobert: Gilead/Kyte: Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sunesis: Research Funding.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4116-4116
Author(s):  
Anna Dodero ◽  
Anna Guidetti ◽  
Fabrizio Marino ◽  
Cristiana Carniti ◽  
Stefania Banfi ◽  
...  

Introduction: Diffuse Large B-Cell Lymphoma (DLBCL) is an heterogeneous disease: 30-40% of cases have high expression of MYC and BCL2 proteins (Dual Expressor, DE) and 5-10% have chromosomal rearrangements involving MYC, BCL2 and/or BCL6 (Double-/ Triple-Hit, DH/TH). Although the optimal treatment for those high-risk lymphomas remains undefined, DA-EPOCH-R produces durable remission with acceptable toxicity (Dunleauvy K, Lancet 2018). TP53 mutation is an independent marker of poor prognosis in patients (pts) with DLBCL treated with R-CHOP therapy. However, its prognostic value in poor prognosis lymphomas, receiving intensive therapy, has not been investigated yet. Methods: A series of consecutive pts (n=87) with biopsy proven diagnosis of DE DLBCL (MYC expression ≥40% and BCL2 expression ≥ 50% of tumor cells) or DE-Single Hit (DE-SH, i.e., DE-DLBCL with a single rearrangement of either MYC, BCL2 or BCL6 oncogenes) or DE-DH/TH (MYC, BCL2 and/or BCL6 rearrangements obtained by FISH) were treated with 6 cycles of DA-EPOCH-R and central nervous system (CNS) prophylaxis consisting of two courses of high-dose intravenous Methotrexate. Additional eligibility criteria included age ≥18 years and adequate organ functions. Cell of origin (COO) was defined according to Hans algorithm [germinal center B cell like (GCB) and non GCB)]. TP3 mutations were evaluated by next generation sequencing (NGS) based on AmpliseqTM technology or Sanger sequencing and considered positive when a variant allelic frequency ≥10% was detected. Results: Eighty-seven pts were included [n=36 DE only, n=32 DE-SH (n=8 MYC, n=10 BCL2, n=14 BCL6), n=19 DE-DH/TH] with 40 patients (46%) showing a non GCB COO. Pts had a median age of 59 years (range, 24-79 years). Seventy-three pts (84%) had advanced disease and 44 (50%) an high-intermediate/high-risk score as defined by International Prognostic Index (IPI). Only 8 of 87 pts (9%) were consolidated in first clinical remission with autologous stem cell transplantation following DA-EPOCH-R. After a median follow-up of 24 months, 73 are alive (84%) and 14 died [n=12 disease (n=2 CNS disease); n=1 pneumonia; n=1 suicide]. The 2-year PFS and OS were 71% (95%CI, 60-80%) and 76% (95%CI, 61%-85%) for the entire population. For those with IPI 3-5 the PFS and OS were not significant different for DE and DE-SH pts versus DE-DH/TH pts [64% vs 57% p=0.77); 78% vs 57% p=0.12)]. The COO did not influence the outcome for DE only and DE-SH [PFS: 78% vs 71% (p=0.71); 92% vs 86% (p=0.16) for GCB vs non -GCB, respectively]. Fourty-six pts (53%;n=18 DE only, n=18 DE-SH, n=10 DE-DH/TH ) were evaluated for TP53 mutations with 11 pts (24%) carrying a clonal mutation (n=6 in DE, n=3 in DE-SH, n=2 in DE-DH/TH). The 2-year PFS and OS did not significantly change for pts DE and DE-SH TP53 wild type as compared to DE and DE-SH mutated [PFS: 84 % vs 77%, (p=0.45); OS: 87% vs 88%, (p=0.92)]. The two pts DE-DH/TH with TP53 mutation are alive and in complete remission.Conclusions: High risk DLBCL pts treated with DA-EPOCH-R have a favourable outcome independently from high IPI score, DE-SH and DE-DH/TH. Also the presence of TP53 mutations does not negatively affect the outcome of pts treated with this intensive regimen. The efficacy of DA-EPOCH-R in overcoming poor prognostic genetic features in DLBCL should be confirmed in a larger prospective clinical trial. Disclosures Rossi: Daiichi-Sankyo: Consultancy; Roche: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Jazz: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria; Mundipharma: Honoraria; BMS: Honoraria; Sandoz: Honoraria. Carlo-Stella:Takeda: Other: Travel, accommodations; F. Hoffmann-La Roche Ltd: Honoraria, Other: Travel, accommodations, Research Funding; Rhizen Pharmaceuticals: Research Funding; Celgene: Research Funding; Amgen: Honoraria; AstraZeneca: Honoraria; Janssen Oncology: Honoraria; MSD: Honoraria; BMS: Honoraria; Genenta Science srl: Consultancy; Janssen: Other: Travel, accommodations; Servier: Consultancy, Honoraria, Other: Travel, accommodations; Sanofi: Consultancy, Research Funding; ADC Therapeutics: Consultancy, Other: Travel, accommodations, Research Funding; Novartis: Consultancy, Research Funding; Boehringer Ingelheim: Consultancy. Corradini:AbbVie: Consultancy, Honoraria, Other: Travel Costs; KiowaKirin: Honoraria; Gilead: Honoraria, Other: Travel Costs; Amgen: Honoraria; Celgene: Honoraria, Other: Travel Costs; Daiichi Sankyo: Honoraria; Janssen: Honoraria, Other: Travel Costs; Jazz Pharmaceutics: Honoraria; Kite: Honoraria; Novartis: Honoraria, Other: Travel Costs; Roche: Honoraria; Sanofi: Honoraria; Takeda: Honoraria, Other: Travel Costs; Servier: Honoraria; BMS: Other: Travel Costs.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1528-1528
Author(s):  
Sebastian Stasik ◽  
Jan Moritz Middeke ◽  
Michael Kramer ◽  
Christoph Rollig ◽  
Alwin Krämer ◽  
...  

Abstract Purpose: The enhancer of zeste homolog 2 (EZH2) is a histone methyltransferase and key epigenetic regulator involved in transcriptional repression and embryonic development. Loss of EZH2 activity by inactivating mutations is associated with poor prognosis in myeloid malignancies such as MDS. More recently, EZH2 inactivation was shown to induce chemoresistance in acute myeloid leukemia (AML) (Göllner et al., 2017). Data on the frequency and prognostic role of EZH2-mutations in AML are rare and mostly confined to smaller cohorts. To investigate the prevalence and prognostic impact of this alteration in more detail, we analyzed a large cohort of AML patients (n = 1604) for EZH2 mutations. Patients and Methods: All patients analyzed had newly diagnosed AML, were registered in clinical protocols of the Study Alliance Leukemia (SAL) (AML96, AML2003 or AML60+, SORAML) and had available material at diagnosis. Screening for EZH2 mutations and associated alterations was done using Next-Generation Sequencing (NGS) (TruSight Myeloid Sequencing Panel, Illumina) on an Illumina MiSeq-system using bone marrow or peripheral blood. Detection was conducted with a defined cut-off of 5% variant allele frequency (VAF). All samples below the predefined threshold were classified as EZH2 wild type (wt). Patient clinical characteristics and co-mutations were analyzed according to the mutational status. Furthermore, multivariate analysis was used to identify the impact of EZH2 mutations on outcome. Results: EZH2-mutations were found in 63 of 1604 (4%) patients, with a median VAF of 44% (range 6-97%; median coverage 3077x). Mutations were detected within several exons (2-6; 8-12; 14-20) with highest frequencies in exons 17 and 18 (29%). The majority of detected mutations (71% missense and 29% nonsense/frameshift) were single nucleotide variants (SNVs) (87%), followed by small indel mutations. Descriptive statistics of clinical parameters and associated co-mutations revealed significant differences between EZH2-mut and -wt patients. At diagnosis, patients with EZH2 mutations were significantly older (median age 59 yrs) than EZH2-wt patients (median 56 yrs; p=0.044). In addition, significantly fewer EZH2-mut patients (71%) were diagnosed with de novo AML compared to EZH2-wt patients (84%; p=0.036). Accordingly, EZH2-mut patients had a higher rate of secondary acute myeloid leukemia (sAML) (21%), evolving from prior MDS or after prior chemotherapy (tAML) (8%; p=0.036). Also, bone marrow (and blood) blast counts differed between the two groups (EZH2-mut patients had significantly lower BM and PB blast counts; p=0.013). In contrast, no differences were observed for WBC counts, karyotype, ECOG performance status and ELN-2017 risk category compared to EZH2-wt patients. Based on cytogenetics according to the 2017 ELN criteria, 35% of EZH2-mut patients were categorized with favorable risk, 28% had intermediate and 37% adverse risk. No association was seen with -7/7q-. In the group of EZH2-mut AML patients, significantly higher rates of co-mutations were detected in RUNX1 (25%), ASXL1 (22%) and NRAS (25%) compared to EZH2-wt patients (with 10%; 8% and 15%, respectively). Vice versa, concomitant mutations in NPM1 were (non-significantly) more common in EZH2-wt patients (33%) vs EZH2-mut patients (21%). For other frequently mutated genes in AML there was no major difference between EZH2-mut and -wt patients, e.g. FLT3ITD (13%), FLT3TKD (10%) and CEBPA (24%), as well as genes encoding epigenetic modifiers, namely, DNMT3A (21%), IDH1/2 (11/14%), and TET2 (21%). The correlation of EZH2 mutational status with clinical outcomes showed no effect of EZH2 mutations on the rate of complete remission (CR), relapse free survival (RFS) and overall survival (OS) (with a median OS of 18.4 and 17.1 months for EZH2-mut and -wt patients, respectively) in the univariate analyses. Likewise, the multivariate analysis with clinical variable such as age, cytogenetics and WBC using Cox proportional hazard regression, revealed that EZH2 mutations were not an independent risk factor for OS or RFS. Conclusion EZH mutations are recurrent alterations in patients with AML. The association with certain clinical factors and typical mutations such as RUNX1 and ASXL1 points to the fact that these mutations are associated with secondary AML. Our data do not indicate that EZH2 mutations represent an independent prognostic factor. Disclosures Middeke: Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees. Rollig:Bayer: Research Funding; Janssen: Research Funding. Scholl:Jazz Pharma: Membership on an entity's Board of Directors or advisory committees; Abbivie: Other: Travel support; Alexion: Other: Travel support; MDS: Other: Travel support; Novartis: Other: Travel support; Deutsche Krebshilfe: Research Funding; Carreras Foundation: Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees. Hochhaus:Pfizer: Research Funding; Incyte: Research Funding; Novartis: Research Funding; Bristol-Myers Squibb: Research Funding; Takeda: Research Funding. Brümmendorf:Janssen: Consultancy; Takeda: Consultancy; Novartis: Consultancy, Research Funding; Merck: Consultancy; Pfizer: Consultancy, Research Funding. Burchert:AOP Orphan: Honoraria, Research Funding; Bayer: Research Funding; Pfizer: Honoraria; Bristol Myers Squibb: Honoraria, Research Funding; Novartis: Research Funding. Krause:Novartis: Research Funding. Hänel:Amgen: Honoraria; Roche: Honoraria; Takeda: Honoraria; Novartis: Honoraria. Platzbecker:Celgene: Research Funding. Mayer:Eisai: Research Funding; Novartis: Research Funding; Roche: Research Funding; Johnson & Johnson: Research Funding; Affimed: Research Funding. Serve:Bayer: Research Funding. Ehninger:Cellex Gesellschaft fuer Zellgewinnung mbH: Employment, Equity Ownership; Bayer: Research Funding; GEMoaB Monoclonals GmbH: Employment, Equity Ownership. Thiede:AgenDix: Other: Ownership; Novartis: Honoraria, Research Funding.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 3602-3602
Author(s):  
Marta Coscia ◽  
Candida Vitale ◽  
Silvia Peola ◽  
Chiara Riganti ◽  
Daniela Angelini ◽  
...  

Abstract Abstract 3602 The clinical course of chronic lymphocytic leukemia (CLL) depends on the intrinsic tumor cell features but also on the interactions between tumor cells, local microenvironment and host immunity. The interplay between CLL cells and conventional αβ T cells has already been investigated in details, whereas very little is known about the role of Vgamma9Vdelta2 T cells. These cells have intrinsic antitumor properties which can be further enhanced by stimulation with aminobisphosphonates such as zoledronic acid (ZA) via monocytes or other antigen-presenting cells. ZA targets the mevalonate (Mev) pathway and induces the intracellular accumulation and release of intermediate metabolites, like isopentenyl pyrophosphate (IPP), which are very similar to the natural ligands of Vgamma9Vdelta2 T cells. In this study we have performed a phenotypic and functional analysis of Vgamma9Vdelta2 T cells in 93 untreated CLL patients and correlated the results with intrinsic CLL cell features and clinical outcome. Stimulation of peripheral blood mononuclear cells with ZA induced Vgamma9Vdelta2 T cell proliferation in 47/93 patients (responders, R), but not in 46/93 patients (non-responders, NR). Vgamma9Vdelta2 T-cell subset distribution of R CLL was similar to healthy donors, whereas effector memory (EM) and terminally differentiated effector memory (TEMRA) cells predominated in NR CLL. A significant association was found between the R/NR status of Vgamma9Vdelta2 T cells and the mutational status of the tumor IGHV genes: 77% of R patients were M, whereas 70% of UM patients were NR. To test the hypothesis that this difference reflected a different activity of the Mev pathway in M and UM CLL cells, we performed a bioinformatic elaboration of data obtained from gene expression profiling of CLL cells and a biochemical quantification of the Mev pathway in CLL cells including the intermediate metabolites farnesyl pyrophosphate (FPP) and IPP, and the final product cholesterol. The Mev pathway was significantly more active in UM than in M CLL cells, suggesting that the IPP overproduction by UM CLL cells is responsible for a chronic stimulation of Vgamma9Vdelta2 T cells leading to their differentiation into EM and TEMRA cells. This biochemical-driven immunoediting process has clinical implications. After a median follow-up of 46 months from diagnosis, univariate analysis identified R status as a predictor of reduced TFT (NR: 59 months vs R: not reached; p=0.01). The R/NR status also allows to further identify two subsets in UM CLL patients (R-UM and NR-UM) with significantly different TFT (NR-UM: 32 months vs R-UM: not reached; p=0.02). In multivariate analysis, Binet stage (P=0.027), IGHV mutational status (p=0.016), R/NR status (p=0.007), high and low-risk cytogenetic abnormalities (p<0.001) and lymphocytosis at the time of diagnosis (p<0.001) were independent TFT predictors. In conclusion, we have identified a novel TFT predictor based on a putative interaction between the Mev pathway of CLL cells and Vgamma9Vdelta2 T cells. These results further strengthen the importance of tumor-host immune interactions in CLL evolution. Disclosures: Boccadoro: Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen-Cilag: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Massaia:Novartis: Honoraria, Research Funding.


Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 3644-3644 ◽  
Author(s):  
Lale Kostakoglu ◽  
Heiko Schoder ◽  
Nathan Hall ◽  
David J. Straus ◽  
Jeffrey L Johnson ◽  
...  

Abstract Abstract 3644 Use of interim PET in Hodgkin Lymphoma (HL) for risk-adapted treatment has been confounded by a lack of standardized criteria for interpretation. The International Harmonisation Project (IHP) criteria (JCO 2007;25:571) have been validated and are widely used for restaging following therapy. Our objective was to validate the IHP criteria for response evaluation based on PET after two cycles and correlate with the “London”criteria and diagnostic CT-based (dCT) lesion size changes. Methods: Pts were accrued prospectively to CALGB 50203, a trial of doxorubicin, vinblastine and gemcitabine (AVG) for initial treatment of stage I-II non-bulky Hodgkin lymphoma (HL). All had FDG PET or PET/CT and a separate high-resolution dCT scan at baseline, after two cycles of AVG (PET-2 and dCT-2) and at the end of therapy. No treatment change was made based on the PET-2 results. Of 99 assessable pts, 88 had both PET-2 and dCT-2. The primary PET-2 interpretation was based on IHP criteria (uptake > mediastinal blood pool/background is positive), a secondary interpretation was performed using the 5 point London criteria (uptake > liver is positive). The percent decrease in the sum of the products of the diameter (%SPPD) was determined between baseline dCT and dCT-2. A receiver operator curve (ROC) analysis was performed to determine the best cut-off for %SPPD to define a positive and negative CT result. The PET-2 and dCT-2 (%SPPD change) data were correlated with progression free survival (PFS). Results: Sixty-four pts (73%) achieved a complete remission (CR)/CR unconfirmed (CRu), 23.9% a partial response (PR), and 3% had stable disease. After a median follow-up of 3.3 years (1.8–5.0 years), 23.9% of patients relapsed/progressed with an estimated 3-year PFS of 0.77 [CI 68,84]. Eleven of 24 (45.8%) PET-2 positive patients relapsed vs. 10 of 64 (15.6%) PET-2 negative patients (p=0.0004). The best cut-off determined from ROC analysis for %SPPD change was 65%. The comparative results for individual evaluation criteria are displayed in the Table. In the PET-2 positive group, a negative dCT-2 increased PFS by 27–35%, suggesting an influence from dCT-2 results. However, in the combinatorial analysis, some of the confidence intervals are large due to small number of patients in each individual group, particularly, when both PET-2 and dCT-2 were positive as well as when PET-2 was positive and dCT-2 was negative. Conclusions: Interim PET/CT after two cycles of chemotherapy using either IHP or London criteria has a high NPV in early stage non-bulky HL. However, the PPV of interim PET needs to be improved to guide clinical management. Combining PET-2 with %SPPD decrease after 2 cycles improves prediction of PFS compared to each test alone. These data provide a proof of concept for risk-adapted clinical trials and further studies are underway to confirm these findings in a larger population. Disclosures: Bartlett: seattle genetics: Research Funding. Cheson:Celphalon: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celegen: Membership on an entity's Board of Directors or advisory committees, Research Funding; GlaxoSmithKline: Research Funding.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 5321-5321
Author(s):  
Daniel M Guidot ◽  
Ila Sethi ◽  
Jeffrey Switchenko ◽  
Daniel Lee ◽  
Loretta J. Nastoupil ◽  
...  

Abstract Introduction Positron emission tomography/Computed tomography (PET/CT) imaging is utilized for initial staging and response assessment in aggressive non-Hodgkin lymphoma (NHL) but has been less useful for prognostic assessment. Metabolic tumor volume (MTV) is an objective measure calculated from PET/CT imaging that calculates the volume of active disease burden with demonstrated value in some forms of NHL. In particular, interim MTV has been shown to predict progression-free survival (PFS) in diffuse large B cell lymphoma (Yang et al. Annals of Hematology 2013) and in peripheral T-cell lymphoma (Jung et al. BMC Cancer 2015). We evaluated the prognostic impact of MTV in mantle cell lymphoma (MCL). Methods Patients with MCL who underwent autologous stem cell transplant (ASCT) in first remission at Emory who had available pre-treatment, post-induction/pre-transplant, or post-transplant PET/CT's were included. Basic demographic information and key clinical data were collected for each patient. MIM software was used to calculate MTV for all areas of active disease with a cut-off of SUV 4. Two additional predictors collected were Deauville score and total lesion glycolysis (TLG). Deauville score is a categorical scale from 1-5 assigned by a radiologist to estimate severity of disease frequently used in aggressive NHL and was calculated in all post-treatment studies. Zero was assigned for cases where incidental findings prevented application of the Deauville criteria but final impression was no active disease. TLG is a calculation of the total quantity of FDG consumed by the area of active disease. All images were reviewed by a nuclear medicine physician to assist with MTV/TLG assessment and to determine the Deauville score. Pre-treatment, pre-transplant, and post-transplant MTV were tested as independent predictors of overall survival (OS) and progression-free survival (PFS) using Cox proportional hazards models. Demographic and clinical variables were tested as well as Deauville score and TLG by the same means Results Forty patients with a combined total of 19 pre-treatment, 30 pre-transplant, and 30 post-transplant PET/CT scans were identified. Mean age at diagnosis was 58.9 (range 32-81), and 94.3% had stage III/IV disease. Mean MTV pre-treatment was 268 (range 0-3454). Following induction/pre-transplantation, 26 patients (87%) had MTV of 0 and 22 patients (73%) had Deauville score 0/1. Post-transplantation, 28 patients (93%) had MTV of 0 and 25 patients (83%) had Deauville score 0/1. Among demographic and clinical factors (Table 1 and 2), PFS was significantly associated with splenomegaly (HR = 3.87, p = 0.033), any lymph node >5cm (HR = 5.25, p = 0.003), and any lymph node >10cm (HR = 4.52, p = 0.041). OS was associated with age at diagnosis (HR = 0.88, p = 0.005). No particular cutoff value for pre-treatment MTV was found to define a statistically significant predictor of OS or PFS. Similarly, baseline TLG was not associated with PFS or OS. OS was significantly associated with post-transplant MTV (p = 0.043), post-transplant TLG (p = 0.043), and post-transplant Deauville score (p = 0.006). PFS was significantly associated with post-transplant Deauville score only (p < 0.001). Conclusions Study results give limited evidence that PET/CT images have predictive value for MCL patients post-transplant. MTV and TLG were 0 in 93% of post-transplant images, and Deauville was 0/1 in 83%. Still, post-transplant MTV, TLG, and Deauville score were associated with OS, and Deauville score was associated with PFS. While this study shows potential value in PET/CT images for MCL patients in the post-transplant period, it does not support the use of MTV or TLG over Deauville score. Disclosures Flowers: Millenium/Takeda: Research Funding; Roche: Consultancy, Research Funding; Pharmacyclics, LLC, an AbbVie Company: Research Funding; TG Therapeutics: Research Funding; Mayo Clinic: Research Funding; ECOG: Research Funding; AbbVie: Research Funding; Genentech: Consultancy, Research Funding; Infinity: Research Funding; Acerta: Research Funding; NIH: Research Funding; Gilead: Consultancy, Research Funding. Cohen:Bristol-Myers Squibb: Research Funding; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Infinity: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Millennium/Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3891-3891
Author(s):  
Rosa M. Ayala ◽  
Inmaculada Rapado ◽  
David Martínez-Cuadron ◽  
Esther Onecha ◽  
Laura Rufian ◽  
...  

BACKGROUND: Older patients with acute myeloid leukaemia (AML) who are unsuitable for standard induction therapy have limited treatment options. While DNMT3A, TET2, IDH1/2 and TP53 mutations have been previously associated to better response to hypomethylating agents, there are no molecular biomarkers for low-dose cytarabine (LDAC)-based regimens. AIMS: To predict outcome in AML older patients at diagnosis based on mutation status in the context of FLUGAZA trial. FLUGAZA trial was focus on >65 years AML de novo patients comparing azacytidine vs. fludarabine and LDAC (FLUGA Scheme). METHODS: We analyzed bone marrow (BM) samples at diagnosis from 209 out of 285 AML patients treated according Flugaza trial (NCT02319135), azacytidine-arm (n=97) and FLUGA-arm (n=112). In this trial, patients were randomized to receive 3 induction cycles with fludarabine and cytarabine (FLUGA) followed by 6 consolidation cycles with reduced intensity FLUGA, vs 3 induction cycles with 5-azacytidine (AZA) followed by 6 consolidation cycles with AZA. Median age at diagnosis was 75 years (65-90). Both treatment groups were balanced for age, leucocytes count, baseline BM blasts, karyotype risk (ELN), and FLT3-internal tandem duplication and NPM1 gene mutations. Mutational profile analysis was carried out by NGS targeted gene sequencing (Ion Torrent S5XL System-Thermo Fisher Scientific) using a 43 genes custom panel implicated in leukemia prognosis. RESULTS: We detected 893 variants, 247 Indels and 646 SNVs. 206 (23.1%) of them were included as pathogenic or like-pathogenic by clinvar database. Ninety-five percent of patients (n=203) had at least one detectable mutation, and the median number of mutations was 4 (range = 0-8 mutations). The most common gene mutations were TET2 (N=55), FLT3 (n=52), SRSF2 (n=49), TP53 (n=45), DNMT3A (n=45), ASXL1 (n=45), RUNX1 (n=43), IDH2 (n=36), IDH1 (n=34), NPM1, (n=33) and NRAS (n=23). This mutational landscape is different to previous published in younger patients (Grimwade, Blood 2016), with higher number of patients with mutations in TP53 (21.5 vs 8%), SRSF2 (23.9 vs 2%), IDH1 (16.3 vs 7%) and IDH2 (17.2 vs 9%) and lower number of patients with mutation in NMP1 (15.8 vs 33%). The median OS of global series was 6 months (range 0-40). Multivariate Cox regression in the global series showed that NRAS and TP53 mutations predict reduced OS (Table 1). Distribution of mutations between both arms was not homogeneous (Figure 1) and NRAS (p=0.012) was more frequent among patients randomized to the FLUGA-arm. However, TP53 mutation frequency distribution was homogeneous: 23.7% in AZA-arm and 19.6% in FLUGA-arm (p=NS). In the AZA-arm, patient´s age was the only variable associated with not achieving composite complete remission (CR plus CR with incomplete recovery) and TET2 and EZH2 mutations were predictors to achieve composite CR. In the FLUGA-arm, TP53 and NRAS mutations were associated with not reaching composite CR (table 2). In the AZA-arm, cytogenetic was the only variable associated with risk of early death. In the FLUGA-arm, leucocyte count, TP53 and NRAS mutations were associated with risk of early death (table 3). In the AZA-arm, BCORL1 mutations (4.1%) were the only variable associated with high risk of relapse. In the FLUGA-arm, BCOR (7.1%) and TP53 (19.6%) mutations were associated with high risk of relapse (table 4). CONCLUSION The mutational profile of AML in elderly patients is different from the previously published in young patients. We have confirmed that a molecular pattern can identify patients with poor prognosis in elderly AML patients. NRAS and TP53 mutations confer a poor prognosis in LDAC (FLUGA-arm) patients, but this effect disappeared in the AZA-arm. BCOR and BCORL1 mutations were associated to a reduced DFS. These results confirm that azacytidine could be more efficacious than LDAC treatment for older patients with AML and mutations in TP53, NRAS, TET2 and EZH2. The percentage of patients who presented mutations in these genes amounted to 77% in this AML series. The study is registered at www.ClinicalTrials.gov as NCT02319135. This study was supported by the Subdirección General de Investigación Sanitaria (ISCIII, Spain) grants PI13/02387 and PI16/01530. Disclosures Salamero: Celgene: Honoraria; Novartis: Honoraria; Pfizer: Honoraria; Daichii Sankyo: Honoraria. Paiva:Amgen, Bristol-Myers Squibb, Celgene, Janssen, Merck, Novartis, Roche, and Sanofi; unrestricted grants from Celgene, EngMab, Sanofi, and Takeda; and consultancy for Celgene, Janssen, and Sanofi: Consultancy, Honoraria, Research Funding, Speakers Bureau. Fernandez:Pfizer: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Teva: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Abbvie: Membership on an entity's Board of Directors or advisory committees; Incyte: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Karyopharm: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Daiichi Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1629-1629
Author(s):  
Camille Golfier ◽  
Delphine Maucort-Boulch ◽  
Emmanuelle Nicolas-Virelizier ◽  
Cedric Rossi ◽  
Pierre Sesques ◽  
...  

Abstract Purpose International Prognostic Index (IPS) is the most widely used risk stratification index for advanced stage Hodgkin's lymphoma (HL). The use of (18F)-fluorodeoxyglucose PET/CT at diagnosis allows a better characterization of extra-nodal involvement (ENI). We investigated if the type of ENI could affect the prognosis of stage IV HL patients diagnosed with PET/CT and if a specific prognostic index could be defined for these patients (pts). Patients and methods We retrospectively analyzed 220 stage IV HL patients treated from 2005 to 2015 in three LYSA centers. We considered the local investigator interpretation based on the nuclear medicine physician PET/CT report. Regarding ENI, six subgroups were identified: involvement of lung and/or pericard and/or pleural, liver, diffuse and/or focal bone involvement, digestive system, and other involvements; we also considered bone marrow involvement based on the results of bone marrow biopsy. The main outcome was event free survival (EFS) defined by relapse, progression, death from any cause and initiation of a new therapy. For prognostication, we first evaluated the six variables of IPS-6 (corresponding to IPS without "stage IV" item) in this population. ENI was tested adjusted on the retained IPS variables. Univariate and multivariate Cox models were used to assess their prognostic ability for EFS. Cross-validation (10-fold) was used to select the more robust variables avoiding optimism. The finally selected variables constituted a score that was tested on overall survival (OS). Results Among the 220 stage IV patients, 135 (61%) were male. Median age was 33 years (range, 16-86) and 72 pts (33%) were ≥45 years. 130 pts (59%) presented constitutional symptoms. Nodular sclerosis subtype was observed in 163 pts (74%), mixed cellularity subtype in 25 pts (11%) and 47/157 pts (30%) presented EBV-positive HL. For biological parameters of IPS, 158 pts (80%) had low albumin level <4g/dL, 66 pts (30%) hemoglobin values <10.5g/dL, white blood cell (WBC) count was >15G/L in 42pts (19%) and lymphocyte count <600/mm3 in 75 pts (34%). The IPS-6 score was 0-2 in 93 pts (47%) and ≥3 in 104 pts (53%). ENI distribution according to PET/CT was: diffuse and/or focal bone involvement (155 pts, 71%), lung-pericard-pleural (94 pts, 43%), liver (37pts, 17%), digestive system (11 pts, 5%), 38 pts (17%) had other ENI; bone marrow involvement according to biopsy concerned 40 pts (21%). Only 1 extra-nodal site was involved in 49% of pts, 2 sites in 33%, 3 sites in 16% and 4 sites in 2%. With a median follow-up of 4.8 years, the 5-year EFS and OS rates were 73% and 89.9%, respectively for the whole cohort. The IPS-6 remained a strong prognostic index in our cohort. Patients with an IPS-0-2 and 3-6 had a 5-year EFS rate of 81.8% and 64% (p=0.008), respectively. The evaluation in univariate analysis of the prognostic value of each individual variable of IPS showed that only age influenced EFS (p=0.002) but albumin level (p=0.92), hemoglobin level (p=0.28), lymphocyte count (p=0.16), WBC count (p=0.10) and sex (p=0.21) had no significant prognostic effect. Regarding ENI, all 6 subgroups were studied: liver involvement was the only extra-nodal site with prognostic impact (HR=1.67 [0.92-3.04], p=0.093) in univariate analysis. We then performed a multivariate analysis integrating age and liver involvement: age was significantly associated with EFS (HR=2.20 [1.32-3.65], p=0.002); liver involvement also presented an influence on EFS (HR=1.72 [0.94-3.13], p=0.076). Thus, we developed a prognostic index with these two variables that defined two distinct risk groups: low risk (age <45 years or no liver involvement, N=206 pts, 94%) and high risk (age ≥45 years and liver involvement, N=14 pts, 6%) (HR=5.09 [2.64-9.85], p<10-3). 5-year EFS rates were respectively 76.8% and 17.9% (Figure 1A). This model also influenced OS with a 5-year OS rate of 91.8% and 61.4% for low and high risk groups, respectively (Figure 1B). Conclusions: For stage IV HL defined by PET/CT, we developed a simple prognostic score based on age (≥45y) and liver involvement that identify a subgroup of patients with a poor outcome. These findings need to be validated in independent cohorts. Based on these results, whether HL pathogenesis differs by ENI sites should be investigated. Disclosures Bachy: Celgene: Membership on an entity's Board of Directors or advisory committees; Takeda: Research Funding; Beigene: Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria; Amgen: Honoraria. Karlin:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel support; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel support. Sarkozy:ROCHE: Consultancy. Traverse-Glehen:Takeda: Research Funding; Astra Zeneca: Other: Travel. Salles:F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Research Funding; Servier: Honoraria, Other: Advisory Board; Novartis: Consultancy, Honoraria; BMS: Honoraria, Other: Advisory Board; Morphosys: Honoraria; Janssen: Honoraria, Other: Advisory Board; Abbvie: Honoraria; Pfizer: Honoraria; Amgen: Honoraria; Celgene: Honoraria, Other: Advisory Board, Research Funding; Epizyme: Honoraria; Gilead: Honoraria, Other: Advisory Board; Acerta: Honoraria; Merck: Honoraria; Servier: Honoraria; Takeda: Honoraria. Casasnovas:Takeda: Consultancy; Gilead: Consultancy, Research Funding; AbbVie: Consultancy; Roche: Consultancy, Research Funding; Bristol-Meyers Squibb: Consultancy; Merck: Consultancy. Ghesquieres:Celgene: Consultancy; Gilead: Consultancy; Sanofi: Consultancy.


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