Search

International audience; Although follicular lymphoma (FL) is usually graded as FL1-2, FL3A, and FL3B, some borderline cases can be observed and led us to investigate the clinicopathologic diversity of grade 3 FL (FL3). Among 2449 FL patients enrolled in Lymphoma Study Association (LYSA) trials, 1921 cases with sufficient material underwent a central pathologic review. The resulting diagnoses comprised 89.6% FL1-2 (n=1723), 7.2% FL3A (n=138), and 0.5% purely follicular FL3B (n=9). The remaining 51 unclassifiable cases (2.7%) exhibited high-grade features but did not meet WHO criteria for either FL3A or FL3B; and were considered as “unconventional” high-grade FL (FL3U). FL3U morphological pattern consisted of nodular proliferation of large cleaved cells or small-sized to medium-sized blast cells. Compared with FL3A, FL3U exhibited higher MUM1 and Ki67 expression, less BCL2 breaks and more BCL6 rearrangements, together with a higher number of cases without any BCL2, BCL6 or MYC rearrangement. FL3U harbored less frequent mutations in BCL2, KMT2D, KMT2B, and CREBBP than FL3A. MYC and BCL2 were less frequently mutated in FL3U than FL3B. Rituximab cyclophosphamide, doxorubicin, vincristine, and prednisone treated FL3U patients had a worse survival than FL1-2 patients with similar follicular lymphoma international prognostic index and treatment. These results suggest that high-grade FLs encompass a heterogeneous spectrum of tumors with variable morphology and genomic alterations, including FL3U cases that do not strictly fit WHO criteria for either FL3A or FL3B, and display a worse outcome than FL1-2. The distinction of FL3U may be useful to allow a better comprehension of high-grade FLs and to design clinical trials.

Allogeneic hematopoietic stem cell transplantation (allo-HSCT) after conditioning with a sequential association of fludarabine, amsacrine, and cytosine arabinoside (FLAMSA) followed by a reduced-intensity conditioning regimen has emerged for patients with high-risk acute myeloid leukemia (AML), especially in refractory or relapsing patients. Here we aimed to address retrospectively the impact of pretransplantation minimal residual disease (MRD) by flow cytometry on the outcomes of high-risk AML patients who underwent allo-HSCT after sequential FLAMSA-busulfan (FLAMSA-Bu)-based conditioning regimens. We included 165 high-risk AML patients who underwent transplantation after FLAMSA-BU in this retrospective single-center "real life" study. All patients received in vivo T cell depletion with antithymocyte globulin (5 mg/kg). MRD detection was based on a leukemia-associated immunophenotype using the European LeukemiaNet recommendations, with a threshold of .1%. Univariate and multivariate analyses were performed using R version 4.1.1 (R Foundation for Statistical Computing, Vienna, Austria). With a median follow-up of 4.0 years post-transplantation, the median overall survival (OS) was 54.9 months. Overall, 41 patients (24.8%) relapsed post-transplantation, with a resulting cumulative incidence of relapse (CIR) of 26.7% at 2 years and 34.0% at 5 years. Detectable MRD preceding allo-HSCT and refractory status were associated with worse median OS and CIR rates compared with patients without detectable MRD; however, OS was not significantly different between pre-HSCT MRD-positive and refractory patients (median, .7 year versus 2.0 years; P = .3). Conversely, pre-HSCT MRD negativity was associated with a reduced 2-year CIR. Neither European LeukemiaNet risk stratification nor age had a significant influence on OS. In the multivariate analysis, only pre-HSCT MRD positivity and lower conditioning regimen intensity were significantly associated with a poorer OS. The cumulative incidence of extensive chronic graft-versus-host disease at 2 years was 26.15%. The estimated nonrelapse mortality (NRM) of the entire cohort at 2 years was 23.1%, with age and unrelated donor identified as risk factors for higher NRM. Our data ahow that FLAMSA-Bu conditioning did not reverse the pejorative effect of detectable pre-HSCT MRD, suggesting that such patients should be offered alternative strategies before HSCT to reach deeper remission.

As the impact of targeted next-generation sequencing (TNGS) on daily diagnosis has not been evaluated, we performed TNGS (46 genes) on lymphomas of unclear subtype following expert haematopathological review. The potential impact on patient care and modifications of final diagnosis were divided into major and minor changes according to the European Society of Medical Oncology (ESMO) guidelines. Among 229 patients [19 primary central nervous system lymphomas (PCNSL), 48 large B-cell lymphomas (LBCLs), 89 small BCLs (SBCLs), seven Hodgkin lymphomas (HL), 66 T-cell lymphomas], the overall concordance rate of histological and TNGS diagnosis was 89·5%. TNGS confirmed the histological diagnosis in 144 cases (62·9%), changed the diagnosis in 24 cases (10·5%) and did not help to clarify diagnosis in 61 cases (26·7%). Modifications to the final diagnosis had a clinical impact on patient care in 8·3% of cases. Diagnostic modifications occurred in all types of lymphoma except in PCNSL and HL; the modification rate was 14·6% in SBCL and 12·5% in LBCL. While comparing informative and uninformative cases, no differences were found in terms of DNA amplification, quality or depth of sequencing and biopsy type. The present study highlights that TNGS may directly contribute to a more accurate diagnosis in difficult-to-diagnose lymphomas, thus improving the clinical management in routine practice.

The characterization of circulating tumor-derived DNA (ctDNA) has recently emerged in the field of oncology as a powerful method to identify tumor-specific genetic aberrations using peripheral blood testing. Several technical precautions are needed at the pre-analytic stage (given the short half-life of free nucleic acids in plasma), and numerous techniques—with different sensitivities—are available to identify these molecular aberrations, ranging from the detection of single point mutations to extended genetic screening panels. Although a “liquid biopsy” cannot be substituted for the pathological examination of tissue specimens for diagnostic purposes, it can sometimes complement pathology results or serve as a proxy approach for particular lymphoma presentations where biopsies are sometimes difficult to perform. Moreover, ctDNA testing can characterize, at diagnosis or during treatment, mutations that may contribute to the choice of an optimal targeted therapy (such as Bruton tyrosine kinase or EZH2 inhibitors) or detect the emergence of resistance to those therapies. High levels of ctDNA before treatment appear to be correlated with advanced disease stages and prognosis in diffuse large B-cell and follicular lymphomas. Real-time follow-up of ctDNA levels during therapy in several lymphoma subtypes (diffuse large B-cell and Hodgkin lymphomas) has been explored: preliminary studies have demonstrated that this monitoring technique can predict clinical outcomes (end of treatment response and risk of progression after treatment completion) and that this approach may complement the information provided by metabolic imaging assessments. Technical standardization and careful prospective evaluation of the role of ctDNA monitoring in clinical studies represent current important challenges to allowing its application in routine practice.

Background Microbes typically live in communities where individuals can interact with each other in numerous ways. However, knowledge on the importance of these interactions is limited and derives mainly from studies using a limited number of species grown in coculture. Here, we manipulated soil microbial communities to assess the contribution of interactions between microorganisms for assembly of the soil microbiome. Results By combining experimental removal (taxa depletion in the community) and coalescence (mixing of manipulated and control communities) approaches, we demonstrated that interactions between microorganisms can play a key role in determining their fitness during soil recolonization. The coalescence approach not only revealed the importance of density-dependent interactions in microbial community assembly but also allowed to restore partly or fully community diversity and soil functions. Microbial community manipulation resulted in shifts in both inorganic nitrogen pools and soil pH, which were related to the proportion of ammonia-oxidizing bacteria. Conclusions Our work provides new insights into the understanding of the importance of microbial interactions in soil. Our top-down approach combining removal and coalescence manipulation also allowed linking community structure and ecosystem functions. Furthermore, these results highlight the potential of manipulating microbial communities for the restoration of soil ecosystems.

The analysis of circulating tumor DNA (ctDNA) released by tumor cells holds great promise for patients with lymphoma, to refine the diagnostic procedure, clarify the prognosis, monitor the response to treatment, and detect relapses earlier. One of the main challenges of the coming years is to adapt techniques from highly specialized translational teams to routine laboratories as this requires a careful technical and clinical validation, and we have to achieve this as fast as possible to transform a promising biomarker into a routine analysis to have a direct consequence on patient care. Whatever the analytical technology used, the prerequisite is to obtain high yields of ctDNA of optimal quality. In this review, we propose a step-by-step description of the preanalytical process to obtain high-quality ctDNA, emphasizing the technical choices that need to be made and the experimental data that can support these choices.

Strigolactones are a class of plant hormones involved in shoot branching, growth of symbiotic arbuscular mycorrhizal fungi, and germination of parasitic plant seeds. Assaying new molecules or compound exhibiting strigolactone-like activities is therefore important but unfortunately time-consuming and hard to implement because of the extremely low concentrations at which they are active. Seeds of parasite plants are natural integrator of these hormones since they can perceive molecule concentrations in the picomolar to nanomolar range stimulating their germination. Here we describe a simple and inexpensive method to evaluate the activity of these molecules by scoring the germination of parasitic plant seeds upon treatment with these molecules. Up to four molecules can be assayed from a single 96-well plate by this method. A comparison of SL-like bioactivities between molecules is done by determining the EC50 and the maximum percentage of germination.

Minimal residual disease (MRD) is now a powerful surrogate marker to assess the response to chemotherapy in acute myeloid leukemia (AML). DNMT3A mutation has been associated with adverse outcomes. In this study, we aimed to investigate the impact of DNMT3A status on NPM1 MRD 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 were analyzed retrospectively. DNMT3A status did not influence the probability of having a ≥ 4log MRD1 reduction after induction. Only 20.4% of FLT3-ITD patients reached ≥ 4log MRD1 reduction compared to 47.5% in FLT3wt cases. A 4log reduction of NPM1 MRD was associated with a better outcome, even in FLT3-ITD mutated patients, independent of the allelic ratio. DNMT3A negative patients who reached a 4log reduction had a superior outcome to those who did not (HR = 0.23, p &lt, 0.001). However, postinduction NPM1 MRD1 reduction was not predictive of OS and LFS in DNMT3Amut patients. 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 identifies a subgroup of patients at high risk of relapse.

Follicular lymphomas (FLs) with MYC rearrangements (MYC-R) and extra copies of MYC (MYC-EC) are rare and the prognosis impact is uncertain. We conducted a retrospective study including 321 FL patients, among whom 259 (81%) had no 8q24 alterations and 62 (19%) were assigned to 8qAlt. Forty-five cases were classified as MYC-EC and six as MYC-R. MYC-R patients were significantly older (P = 0·008), had higher follicular lymphoma international prognostic index (FLIPI) stage (P = 0·05) and β2-microglobulin (β2m; P = 0·05). Among patients treated with immuno-chemotherapy, four presented a MYC-R and 25 a MYC-EC. Univariate analysis showed the absence of significant difference between MYC-EC and normal MYC (MYC-NL) regarding progression-free survival (PFS; HR1·3; 95% CI [0·4-1·6]) and specific overall survival (SOS; HR 1·6; 95% CI [0·4-5·7]). Those results were compared to data from the PRIMA trial. This confirmed that MYC-EC had no impact on PFS (P = 0·86) or SOS (P = 0·9). Conversely, MYC-R was associated with a trend to inferior outcome regarding PFS (HR : 6·1; 95% CI [2·2-17·1]; P = 0·00026), lymphoma-related death (SOS; HR 13·6; 95% CI [2·9-65]; P = 0·00014) and risk of transformation (transformation-free survival (TFS); HR 82·7; 95% CI [14·8-463·4]; P < 0·0001). In conclusion, MYC-EC has no prognostic impact in FL but MYC-R FL tended to be associated with an increased risk of transformation and poorer outcome.

Despite a characteristic indolent course, a substantial subset of follicular lymphoma (FL) patients has an early relapse with a poor outcome. Cells in the microenvironment may be a key contributor to treatment failure. We used a discovery and validation study design to identify microenvironmental determinants of early failure and then integrated these results into the FLIPI. In total, 496 newly diagnosed FL grade 1–3 A patients who were prospectively enrolled into the MER cohort from 2002 to 2012 were evaluated. Tissue microarrays were stained for CD4, CD8, FOXP3, CD32b, CD14, CD68, CD70, SIRP-α, TIM3, PD-1, and PD-L1. Early failure was defined as failing to achieve event-free survival at 24 months (EFS24) in immunochemotherapy-treated patients and EFS12 in all others. CyTOF and CODEX analysis were performed to characterize intratumoral immunophenotypes. Lack of intrafollicular CD4 expression was the only predictor of early failure that replicated with a pooled OR 2.37 (95%CI 1.48–3.79). We next developed a bio-clinical risk model (BioFLIPI), where lack of CD4 intrafollicular expression moved patients up one FLIPI risk group, adding a new fourth high-risk group. Compared with BioFLIPI score of 1, patients with a score of 2 (OR 2.17; 95% CI 1.08–4.69), 3 (OR 3.53; 95% CI 1.78–7.54), and 4 (OR 8.92; 95% CI 4.00–21.1) had increasing risk of early failure. The favorable intrafollicular CD4 T cells were identified as activated central memory T cells, whose prognostic value was independent from genetic features. In conclusion, lack of intrafollicular CD4 expression predicts early failure in FL and combined with FLIPI improves identification of high-risk patients; however, independent validation is warranted.

Strigolactones are a class of plant hormones involved in shoot branching, growth of symbiotic arbuscular mycorrhizal fungi, and germination of parasitic plant seeds. Assaying new molecules or compound exhibiting strigolactone-like activities is therefore important but unfortunately time-consuming and hard to implement because of the extremely low concentrations at which they are active. Seeds of parasite plants are natural integrator of these hormones since they can perceive molecule concentrations in the picomolar to nanomolar range stimulating their germination. Here we describe a simple and inexpensive method to evaluate the activity of these molecules by scoring the germination of parasitic plant seeds upon treatment with these molecules. Up to four molecules can be assayed from a single 96-well plate by this method. A comparison of SL-like bioactivities between molecules is done by determining the EC50 and the maximum percentage of germination.

RNA sequencing holds great promise to improve the diagnostic of haematological malignancies, because this technique enables to detect fusion transcripts, to look for somatic mutations in oncogenes, and to capture transcriptomic signatures nosological entities. However, the analytical performances of targeted RNA sequencing have not been extensively described in diagnostic samples. Using a targeted panel of 1385 cancer-related genes in a series of 100 diagnosis samples and 8 controls, we detected all the already known fusion transcripts, and also discovered unknown and/or unsuspected fusion transcripts in 12 samples. Regarding the analysis of transcriptomic profiles, we show that targeted RNA sequencing is performant to discriminate acute lymphoblastic leukemia entities driven by different oncogenic translocations. Additionally, we show that 86% of the mutations identified at the DNA level are also detectable at the mRNA level, except for nonsense mutations which are subjected to mRNA decay. We conclude that targeted RNA sequencing might improve the diagnosis of haematological malignancies. Standardization of the preanalytical steps and further refinements of the panel design and of the bioinformatical pipelines will be an important step towards its use in standard diagnostic procedures.

Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare CD4+/CD56+ hematological malignancy with aggressive clinical course and poor prognosis. Histologically, BPDCN is characterized by a diffuse, monomorphous infiltration of cutaneous, subcutaneous, and sometimes other tissues such as lymph nodes and bone marrow, by medium-sized neoplastic cells with blastoid morphology. Typically, there is absence of lymphocytic infiltrate. Diagnosis relies on immunophenotypic expression of CD4, CD56, and the more specific markers of plasmacytoid dendritic cells CD123, CD303/BDCA2, and TCL1. We report a case of a 57-year-old man who presented a 4 cm-long solitary, erythemateous lesion on the right cheek, corresponding to a BPDCN but initially misdiagnosed as T-cell lymphoma. The case was characterized by conservation of skin appendages and a diffuse T-cell infiltrate, which strongly expressed PD1. ETV6 and MYC fluorescent in situ hydridization and next-generation sequencing were performed on this tumor. The main difficulties to diagnose BPDCN were the atypical cytology of tumor cells and their CD4 and CD43 expression, as can be seen in T-cell lymphomas. The diffuse T-cell infiltrate was also challenging. The patient is still alive 29 months after diagnosis, suggesting a potential prognostic impact of T-cell infiltration and the absence of MYC translocation. The presence of TET2 and ASXL1 mutations supporting BPDCN and reinforcing the hypothesis of a myeloid origin.

Multiple myeloma is a systemic malignancy of monoclonal plasma cells that accounts for 10% of hematologic cancers. With development of highly effective therapies for multiple myeloma, minimal residual disease (MRD) assessment has emerged as an important end point for management decisions. Currently, serologic assays lack the sensitivity for MRD assessment, and invasive bone marrow sampling with flow cytometry or molecular methods has emerged as the gold standard. We report a sensitive and robust targeted mass spectrometry proteomics method to detect MRD in serum, without the need of invasive, sequential bone marrow aspirates. The method detects Ig-derived clonotypic tryptic peptides predicted by sequencing the clonal plasma cell Ig genes. A heavy isotope-labeled Ig internal standard is added to patient serum at a known concentration, the Ig is enriched in a light chain type specific manner, and proteins are digested and analyzed by targeted mass spectrometry. Peptides from the constant regions of the λ or κ light chains, Ig heavy chains, and clonotypic peptides unique to the patient monoclonal Igs are targeted. This technique is highly sensitive and specific for the patient-specific monoclonal Igs, even in samples negative by multiparametric flow cytometry. Our method can accurately and precisely detect monoclonal protein in serum of patients treated for myeloma and has broad implications for management of hematologic patients.

TET2 and DNMT3A mutations are frequently identified in T-cell lymphomas of T follicular helper cell origin (TCL-TFH), clonal hematopoiesis (CH), and myeloid neoplasms (MNs). The relationships among these 3 entities, however, are not well understood. We performed comprehensive genomic studies on paired bone marrow and tissue samples as well as on flow cytometry–sorted bone marrow and peripheral blood subpopulations from a cohort of 22 patients with TCL-TFH to identify shared CH-type mutations in various hematopoietic cell compartments. Identical mutations were detected in the neoplastic T-cell and myeloid compartments of 15 out of 22 patients (68%), including TET2 (14/15) and DNMT3A (10/15). Four patients developed MNs, all of which shared CH-type mutations with their TCL-TFH; additional unique genetic alterations were also detected in each patient’s TCL-TFH and MN. These data demonstrate that CH is prevalent in patients with TCL-TFH and that divergent evolution of a CH clone may give rise to both TCL-TFH and MNs.

Splenic diffuse red pulp lymphoma is an indolent small B-cell lymphoma recognized as a provisional entity in the World Health Organization 2008 classification. Its precise relationship to other related splenic B-cell lymphomas with frequent leukemic involvement or other lymphoproliferative disorders remains undetermined. We performed whole-exome sequencing to explore the genetic landscape of ten cases of splenic diffuse red pulp lymphoma using paired tumor and normal samples. A selection of 109 somatic mutations was then evaluated in a cohort including 42 samples of splenic diffuse red pulp lymphoma and compared to those identified in 46 samples of splenic marginal zone lymphoma and eight samples of hairy-cell leukemia. Recurrent mutations or losses in BCOR (the gene encoding the BCL6 corepressor) - frameshift (n=3), nonsense (n=2), splicing site (n=1), and copy number loss (n=4) - were identified in 10/42 samples of splenic diffuse red pulp lymphoma (24%), whereas only one frameshift mutation was identified in 46 cases of splenic marginal zone lymphoma (2%). Inversely, KLF2, TNFAIP3 and MYD88, common mutations in splenic marginal zone lymphoma, were rare (one KLF2 mutant in 42 samples; 2%) or absent (TNFAIP3 and MYD88) in splenic diffuse red pulp lymphoma. These findings define an original genetic profile of splenic diffuse red pulp lymphoma and suggest that the mechanisms of pathogenesis of this lymphoma are distinct from those of splenic marginal zone lymphoma and hairy-cell leukemia.

To the editor: Acute promyelocytic leukemia (APL) is a subtype of acute myeloid leukemia (AML), characterized by the t(15;17) translocation resulting in the PML-RARA fusion transcript. The use of all-trans retinoic acid (ATRA) and/or arsenic has revolutionized the treatment of this disease, which

Recent advances in next-generation sequencing (NGS) have enabled the quantitation of circulating tumour DNA (ctDNA) encoding the clonal rearranged V(D)J immunoglobulin locus. We aimed to evaluate the clonal heterogeneity of follicular lymphoma (FL) in the tumour and the plasma at diagnosis and to assess the prognostic value of the ctDNA level. Plasma samples at diagnosis were available for 34 patients registered in the PRIMA trial (NCT00140582). One tumour clonotype or more could be detected for 29 (85%) and 25 (74%) patients, respectively, in the tumour or plasma samples. In 18 patients, several subclones were detected in the tumour (2 to 71 subclones/cases) and/or in the plasma (2 to 20 subclones/cases). In more than half of the cases, the distribution of subclones differed between the tumour and plasma samples, reflecting high clonal heterogeneity and diversity in lymphoma subclone dissemination. In multivariate analysis, a high level of ctDNA was the only independent factor associated with patients’ progression-free survival (HR 4, IC 95 (1.1-37), p=.039). In conclusion, an NGS-based immunosequencing method reveals the marked clonal heterogeneity of follicular lymphoma in patients with FL, and quantification of ctDNA at diagnosis represents a potential powerful prognostic biomarker that needs to be investigated in larger cohorts.

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 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.

Introduction: Follicular lymphoma (FL) is a slow growing lymphatic cancer characterized by translocations in and overexpression of BCL-2, which inhibits apoptosis. This pathogenesis may generate neoantigens (NAs) that are recognizable by T-cells as part of a patients' immune surveillance and are unique to specific FL mutations. Tumor mutation burden (TMB), and NA prevalence and prognostic nature, have previously been characterized for diffuse large B-cell lymphoma (DLBCL), identifying that TMB correlated with NA burden (NAB). While TMB did not correlate with outcomes, the presence of a NA, especially BCL2 NA, correlated with outcomes in de novo DLBCL. In addition, the majority of patients were predicted to have ≥1 NA (Paulson, EHA 2019). However, to date, the prevalence of NAs in FL, and their association with clinical outcomes, have not been characterized. The aim of our study was to characterize NA prevalence and evaluate the prognostic value of NA biomarkers, assessed by a targeted, comprehensive genomic profiling (CGP) platform, on progression-free survival (PFS) for patients with de novo FL. Methods: CGP data on 465 genes were available from patients with FL who provided biopsy samples at screening for the Phase III PRIMA trial (NCT00140582; intent-to-treat [ITT] population =1018; patients received rituximab [R] maintenance vs observation after response to initial first-line treatment with R-CVP [cyclophosphamide, vincristine, prednisone], R-CHOP [cyclophosphamide, doxorubicin, vincristine, prednisone] or R-FCM [fludarabine, cyclophosphamide, mitoxantrone]). CGP was used to calculate TMB, HLA type (OptiType) and NA prediction (NetMHCpan). The prevalence of NAs at time of screening was analyzed by the number and proportion of patients. The prognostic value of NAs were evaluated against the Cox Proportional Hazards null model for PFS including terms for treatment, country and response to induction treatment. The Akaike Information Criterion (AIC), a likelihood ratio test (LRT) p-value vs the null when including an additional NA term and its associated hazard ratio (95% CI), were calculated. A visualization of the genetic mutational landscape was generated using dimension reduction methods. Results: In total, 247 of the 1202 enrolled patients were assayed with CGP. Baseline characteristics and survival in the biomarker evaluable population (BEP) were consistent with the ITT population. We calculated a median TMB of 6.7 mutations per megabase for the PRIMA cohorts with a median of two predicted NAs per patient. The majority of patients (83%) were predicted to have ≥1 NA. TMB moderately correlated with NAB (0.42 pearson coefficient), Figure A. TMB was not associated with outcomes (hazard ratio [HR] 95% CI: 0.98 [0.94-1.02]) and similarly the presence of a NA was not associated with PFS (HR [95% CI]: 0.90 [0.56-1.44]). The most prevalent predicted NAs (n [patients]; %) were in BCL2 (54; 21.9%), CREBBP (49; 19.8%), EZH2 (14; 5.7%), KMT2D (13; 5.3%), and CARD11 (10; 4.0%). In a pooled analysis of patients from both arms, only presence of EZH2 NA improved the AIC of the null model (AIC=1135.6) to 1134.7 (LRT p=0.09 better than 0.1), Table. The HR (95% CI) of EZH2 NA in this model was 0.46 (0.17-1.25), indicating better survival for the EZH2 NA-negative group. Within each treatment group, HR (95% CI) for EZH2 was 0.27 (0.07-1.13) in the observation group and 1.05 (0.25-4.44) in the R group, Figure B. Inspecting the tSNE mutations by gene, a neighborhood pattern could be seen between EZH2 and BCL2 connected by KMT2D and flanked by CARD11 and CREBBP, Figure C. Conclusions: We observed that similarly to de novo DLBCL, TMB and NAB were also correlated in patients with de novo FL. While NAB was associated with clinical outcomes in de novo DLBCL, we did not observe these associations in FL. In patients with de novo FL,who discontinued R after initial treatment response, the absence of EZH2 predicted neoantigens were associated with PFS. This is consistent with results on EZH2 mutation status reported by Huet, et al.(Blood Cancer J 2017). A caveat to this hypothesis generating analysis is the small number of PFS events in the EZH2 neoantigen group. These insights may inform future personalized strategies in FL. Disclosures Henneges: Genentech (via Syneos Health): Current Employment; University of Wurzburg: Ended employment in the past 24 months. Jin:F. Hoffmann-La Roche: Current equity holder in publicly-traded company; Foundation Medicine Inc: Current Employment. Venstrom:Foundation Medicine, Inc.: Current Employment; F. Hoffmann-La Roche: Current equity holder in publicly-traded company. Trabucco:F. Hoffmann-La Roche, Bristol-Myers Squibb Co., BioNTech: Current equity holder in publicly-traded company; Bristol-Myers Squibb Co: Current equity holder in publicly-traded company; BioNTech: Current equity holder in publicly-traded company; Loxo Oncology: Divested equity in a private or publicly-traded company in the past 24 months; Foundation Medicine, Inc.: Current Employment; Patent pending with Foundation Medicine and Genentech: Patents & Royalties: Patent pending. Nielsen:F. Hoffmann-La Roche: Current Employment, Current equity holder in publicly-traded company. Penuel:Genentech, Inc./ F. Hoffmann-La Roche: Current Employment; F. Hoffmann-La Roche: Current equity holder in publicly-traded company. Salles:Abbvie, Amgen, Celgene, Gilead, Janssen, Kite, Morphosys, Novartis, Roche, Takeda: Other: Participation to educational events; Abbvie, Autolus, BMS/Celgene, Debiopharm, Genmab, Kite/Gilead, Epizyme, Janssen, Karyopharm, Morphosys, Novartis, Roche, Takeda: Membership on an entity's Board of Directors or advisory committees; Abbvie, Amgen, Celgene, Gilead, Janssen, Kite, Morphosys, Novartis, F. Hoffmann-La Roche, Takeda: Honoraria; Abbvie, Autolus, BMS/Celgene, Debiopharm, Genmab, Kite/Gilead, Epizyme, Janssen, Karyopharm, Morphosys, Novartis, F. Hoffmann-La Roche, Takeda: Consultancy. Paulson:Genentech, Inc.: Current Employment; F. Hoffmann-La Roche: Current equity holder in private company, Current equity holder in publicly-traded company.

Introduction Aggressive B-cell lymphomas are heterogeneous in their clinical course and biological characteristics. They include diffuse large B-cell lymphoma not otherwise specified (DLBCL-NOS), high grade-B-cell lymphoma with double/triple-hit or NOS (HGBL), primary mediastinal B-cell lymphoma (PMBL). In order to better differentiate these entities, the WHO classification recommends using immunohistochemistry (IHC), FISH, targeted sequencing and gene expression profiles (GEP). However, these techniques are most often performed retrospectively in clinical trials, which is not representative of real life. In order to use these information to improve the current standard of treatment with targeted therapies adapted to lymphoma biology, we have set up a national network on behalf of the LYSA called RT3 (for Real-time tailored therapy) to demonstrate that we are able to comprehensively characterize aggressive B cell lymphomas in a clinically relevant timeline. Materials and methods Patients > 18 years of age with untreated aggressive B-cell lymphoma were included prospectively from 21 LYSA centers. FFPE specimens were analyzed and classified according to WHO classification, benefiting from an IHC profile (Hans algorithm, BCL2, MYC), FISH analysis (BCL6, BCL2, MYC break apart and MYC-IGH/IGL/IGK fusion probes), targeted NGS analysis and a targeted GEP using RT-MLPA (Bobée et al. J Mol diagn 2017). A first part of the study phase was carried out in an oligocentric manner with only 2 referral platforms for pathological analysis and molecular characterization. The second phase was the implementation of 7 RT3 platforms spread over France. The main objective was to evaluate the capacity of the network to provide an exhaustive histopathological and molecular characterization 4 days before theoretical R-CHOP21 C3 administration (within 38 days after D1 cycle 1). Results The oligocentric cohort 1 prospectively included 72 patients in 6 months: 19 had insufficient material or inappropriate diagnosis to be qualified and 53 benefited from the complete analysis on referral platforms. A complete characterization 4 days before RCHOP-C3 was provided to the clinician in 47 cases (88.7%), allowing to further implement the network with 7 platforms and 23 clinical investigation centers. 183 patients were included in the second phase in 9 months, 35 were excluded for inadequate diagnosis/material. On this population, 143 (96.6%) complete patient-reports were provided with a median time of 32 days (1-50). Finally, 201 cases were retained in the Full Analysis Set for which tumor samples fulfilled all prerequisites and diagnosis of DLBCL was confirmed by RT3 platforms. The clinical characteristics were as follows: median age of 61 y (20-92), with 45.2% of pts with aaIPI 2-3and 67.1% with Ann Arbor stage III-IV; 1L treatment consisted mainly of RCHOP (RCHOP14/21 = 136, 72.3%). 7% of patients were treated with experimental drugs. 76% presented with extranodal involvement. After pathological review, 139 (69%) patients were classified as DLBCL-NOS (41% GCB; 58% nGCB), 11 (5%) as HGBL-NOS, 8 (4%) as HGBL-DH and 18 (9%) as PMBL, 3 (1%) as EBV+ DLBCL-NOS, 9 (4%) as FL-3B, 7 (3%) transformed DLBCL, 2 (1%) plasmablastic, 1 (0.5%) unclassified, 1 (0.5%) DLBCL with IRF4 rearrangement. By immunohistochemistry, 22 cases were CD5+, 74% were BCL2+, and 53% MYC+ and 49% as double expressors. BCL2/18q21, BCL6/3q27 and MYC/8q24 breaks were observed in 14% (29/201), 25% (50/201) and 12% (25/201) of the cases respectively. MYC partner gene was available in 10/29 cases (5 MYC-IG, 5 non-IG). At the molecular level, PIM1 was the most frequently mutated gene in the entire cohort (36%). In the ABC subtype, MYD88 was mutated in 48% of cases. In the GCB cohort, SOCS1 was the most frequently mutated gene (30%). In the HGBL cohort, MYC was the most mutated gene (43%). Conclusion This study demonstrates that this RT3 LYSA network allowed a real time pathological and molecular characterization of aggressive B-cell lymphomas according to the WHO recommendations. The RT3 network provides relevant informations to the clinician before R-CHOP21 C3, that might contribute to modify the treatment eventually adding targeted therapies or tailor a second line treatment. This network should be used as a basis for future clinical trials. Inter platforms reproducibility and prognostic relevance of the RT3 project will be presented. Disclosures Haioun: Gilead: Honoraria; Janssen: Honoraria; Novartis: Honoraria; Amgen: Honoraria; Takeda: Honoraria; Miltenyi: Honoraria; Servier: Honoraria; Roche: Honoraria; Celgene: Honoraria. Le Gouill:Roche Genentech, Janssen-Cilag and Abbvie, Celgene, Jazz pharmaceutical, Gilead-kite, Loxo, Daiichi-Sankyo and Servier: Honoraria; Loxo Oncology at Lilly: Consultancy. Ribrag:arGEN-X-BVBA: Research Funding; BAY1000394 studies on MCL: Patents & Royalties; Institut Gustave Roussy: Current Employment; argenX: Current equity holder in publicly-traded company, Research Funding; Epizyme: Consultancy, Current equity holder in publicly-traded company, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees; Infinity: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; MSD: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel Expenses; Nanostring: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; F. Hoffmann-La Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel Expenses; AstraZeneca: Honoraria, Membership on an entity's Board of Directors or advisory committees; Gilead: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Servier: Consultancy, Honoraria; Pharmamar: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; AZD: Honoraria, Other; Eisai: Honoraria; Incyte: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Immune Design: Consultancy, Membership on an entity's Board of Directors or advisory committees; Roche/Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees. Salles:Takeda: Honoraria; Karyopharm: Honoraria; Genmab: Honoraria, Other; Debiopharm: Consultancy, Honoraria, Other: consultancy or advisory role; Autolos: Other: consultancy or advisory role; Abbvie: Other: consultancy or advisory role; Roche: Honoraria, Other: consultancy or advisory role; Novartis: Honoraria, Other: consultancy or advisory role; MorphoSys: Honoraria, Other: consultancy or advisory role; Janssen: Honoraria, Other: consultancy or advisory role; Epizyme: Honoraria, Other: consultancy or advisory role; Kite, a Gilead Company: Honoraria, Other: consultancy or advisory role ; BMS/Celgene: Honoraria, Other: consultancy or advisory role. Sujobert:Sunesis: Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead/Kyte: Membership on an entity's Board of Directors or advisory committees. Bouabdallah:Gilead Sciences: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Roche: Consultancy, Honoraria. Sibon:takeda france: Consultancy.

Background The importance of the immune system in modulating the trajectory of lymphoma outcomes has been increasingly recognized. We recently showed that CD4+ cells are associated with clinical outcomes in a prospective cohort of almost 500 patients with follicular lymphoma (FL). Specifically, we showed that the absence of CD4+ cells inside follicles was independently associated with increased risk of early clinical failure. These data suggest that the composition, as well as the spatial distribution of immune cells within the tumor microenvironment (TME), play an important role in FL. To further define the architecture of the TME in FL we analyzed a FL tumor section using the Co-Detection by Indexing (CODEX) multiplex immunofluorescence system. Methods An 8-micron section from a formalin-fixed paraffin-embedded block containing a lymph node specimen from a patient with FL was stained with a cocktail of 15 CODEX antibodies. Five regions of interest (ROIs) were imaged using a 20X air objective. Images underwent single-cell segmentation using a Unet neural network, trained on manually segmented cells (Fig 1A). Cell type assignment was done after scaling marker expression and clustering using Phenograph. Each ROI was manually masked to indicate areas inside follicles (IF) and outside follicles (OF). Relative and absolute frequencies of cell types were calculated for each region. Cellular contacts were measured as number and types of cell-cell contacts within two cellular diameters. To identify proximity communities, we clustered cells based on number and type of neighboring masks using Phenograph. The number of cell types and cellular communities were calculated inside and outside follicles after adjustment for total IF and OF areas. The significance of cell contact was measured using a random permutation test. Results We identified 13 unique cell subsets (11 immune, 1 endothelial, 1 unclassified) in the TME of our FL section (Fig. 1A). The unique phenotype of each subset was confirmed using a dimensionality reduction tool (t-SNE). The global composition of the TME varied minimally across ROIs and consisted primarily of B cells, T cells, and macrophages subsets - in decreasing order of frequency. Higher spatial heterogeneity across ROIs was observed in the frequency of T cell subsets in comparison to B cells subsets. Inspecting the spatial distribution of T cell subsets (Fig. 1B), we observed that cytotoxic T cells were primarily located in OF areas, whereas CD4+ T cells were found in both IF and OF areas. Notably, the majority of CD4+ T cells inside the follicles expressed CD45RO (memory phenotype), while most of the CD4+ T cells outside the follicles did not. Statistical analysis of the spatial distribution of CD4+ memory T cell subsets confirmed a significant increase in their frequency inside follicles compared to outside (20.4% vs 11.2%, p < 0.001; Fig. 1D). Cell-cell contact analysis (Fig 1C) showed increased homotypic contact for all cell types. We also found a higher frequency of heterotypic contact between Ki-67+CD4+ memory T cells and Ki-67+ B cells. Pairwise analysis showed these findings were statistically significant, indicating these cells are organized in niches rather than randomly distributed across image. Analysis of cellular communities (Fig. 1C) identified 13 niches, named according to the most frequent type of cell-cell contact. All CD4+ memory T cell subsets were found to belong to the same neighborhood (CD4 Memory community). Analysis of the spatial distribution of this community confirmed that these niches were more frequently located inside follicles rather than outside (26.3±4% vs 0.004%, p < 0.001, Fig. 1D). Conclusions Analysis of the TME using CODEX provides insights on the complex composition and unique architecture of this FL case. Cells were organized in a pattern characterized by (1) high degree of homotypic contact and (2) increased heterotypic interaction between activated B cells and activated CD4+ memory T cells. Spatial analysis of both individual cell subsets and cellular neighborhoods demonstrate a statistically significant increase in CD4+ memory T cells inside malignant follicles. This emerging knowledge about the specific immune-architecture of FL adds mechanistic details to our initial observation around the prognostic value of the TME in this disease. These data support future studies using modulation of the TME as a therapeutic target in FL. Figure 1 Disclosures Galkin: BostonGene: Current Employment, Patents & Royalties. Svekolkin:BostonGene: Current Employment, Current equity holder in private company, Patents & Royalties. Postovalova:BostonGene: Current Employment, Current equity holder in private company. Bagaev:BostonGene: Current Employment, Current equity holder in private company, Patents & Royalties. Ovcharov:BostonGene: Current Employment, Current equity holder in private company, Patents & Royalties. Varlamova:BostonGene: Current Employment, Current equity holder in private company, Patents & Royalties. Novak:Celgene/BMS: Research Funding. Witzig:AbbVie: Consultancy; MorphSys: Consultancy; Incyte: Consultancy; Acerta: Research Funding; Karyopharm Therapeutics: Research Funding; Immune Design: Research Funding; Spectrum: Consultancy; Celgene: Consultancy, Research Funding. Nowakowski:Nanostrings: Research Funding; Seattle Genetics: Consultancy; Curis: Consultancy; Ryvu: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other; Kymera: Consultancy; Denovo: Consultancy; Kite: Consultancy; Celgene/BMS: Consultancy, Research Funding; Roche: Consultancy, Research Funding; MorphoSys: Consultancy, Research Funding. Cerhan:BMS/Celgene: Research Funding; NanoString: Research Funding. Ansell:Trillium: Research Funding; Takeda: Research Funding; Regeneron: Research Funding; Affimed: Research Funding; Seattle Genetics: Research Funding; Bristol Myers Squibb: Research Funding; AI Therapeutics: Research Funding; ADC Therapeutics: Research Funding.

According to the World Health Organization (WHO) classification, the nosology of B-cell neoplasms integrates clinical, morphological, phenotypic, and genetic data. In this retrospective analysis, we identified 18 patients with isolated neoplastic lymphocytosis that could not be accurately classified within the WHO classification. Most of them were asymptomatic at the time of diagnosis and the evolution was relatively indolent, as only five patients required treatment after a median follow-up of 48 months. The neoplastic B-cells expressed CD5 in most cases, but the Royal Marsden Hospital score was strictly below 3. Trisomy 12 was the most frequent cytogenetic abnormality. High-throughput sequencing highlighted mutations found in both chronic lymphocytic leukemia (CLL) and marginal zone lymphoma (MZL). Similarly, the immunoglobulin heavy chain variable region repertoire was distinct from those reported in CLL or MZL. However, as treatment choice is dependent on the correct classification of the lymphoproliferative disorder, a histological diagnosis should be performed in case patients need to be treated.

International audience; Supplemental Digital Content is available in the text.

Recently, a new subset of acute myeloid leukemia (AML) presenting a direct partial tandem duplication (PTD) of the KMT2A gene was described. The consequences of this alteration in terms of outcome and response to treatment remain unclear. We analyzed retrospectively a cohort of KMT2A-PTD-mutated patients with newly diagnosed AML. With a median follow-up of 3.6 years, the median overall survival was 12.1 months. KMT2A-PTD-mutated patients were highly enriched in mutations affecting epigenetic actors and the RTK/RAS signaling pathway. Integrating KMT2A-PTD in ELN classification abrogates its predictive value on survival suggesting that this mutation may overcome other genomic marker effects. In patients receiving intensive chemotherapy, hematopoietic stem cell transplantation (HSCT) significantly improved the outcome compared to non-transplanted patients. In the multivariate analysis, only HSCT at any time in complete remission (HR = 2.35, p = 0.034) and FLT3-ITD status (HR = 0.29, p = 0.014) were independent variables associated with overall survival, whereas age was not. In conclusion, our results emphasize that KMT2A-PTD should be considered as a potential adverse prognostic factor. However, as KMT2A-PTD-mutated patients are usually considered an intermediate risk group, upfront HSCT should be considered in first CR due to the high relapse rate observed in this subset of patients.

8052 Background: A significant proportion of patients with FL experience an early relapse and a subsequent poor outcome. While several prognostic indices have been developed, none were designed to predict early failure. Recently, we established that lack of intrafollicular CD4+ T-cell expression predicted risk of early failure, and integrating this microenvironment biomarker with the Follicular Lymphoma International Prognostic Index, termed BioFLIPI, further improved identification of FL patients at risk of early failure ( Blood 2019;134(suppl1):121). However, the microenvironment may be influenced by the genetic composition of tumor. We investigated whether the CD4 biomarker and BioFLIPI were impacted by genetic features of the tumor as assessed by a 23-gene expression prognostic score ( Lancet Oncol 2018;19:549-61). Methods: Of the 186 cases with FL grade 1-3A treated with immunochemotherapy (IC) in our prior study, 152 had digital expression quantification of 23 selected genes (23-GEP score), which used RNA from formalin-fixed, paraffin-embedded samples. Event-free survival (EFS) was defined as time from diagnosis to progression, relapse, retreatment, or death. Early failure was defined as failing to achieve EFS at 24 months. Risk of early failure was estimated using odds ratios (ORs) and 95% confidence intervals from logistic regression models. We also used Cox regression to assess associations with continuous EFS and overall survival (OS). Results: 28% of patients failed to achieve EFS24. Lack of CD4+ intrafollicular expression (38% of patients, OR = 2.33, p = 0.024) and high risk 23-GEP score (26% of patients, OR = 3.52, p = 0.001) each predicted early failure, and in a multivariable model that included FLIPI, both CD4+ (OR = 2.26, p = 0.046) and 23-GEP score (OR = 2.26, p = 0.0.057) remained predictors. Similarly, BioFLIPI modeled as a continuous score (1-4, OR per one point increase = 2.31, p < 0.001) predicted early failure, and the association remained (OR = 2.14, p < 0.001) when the high risk 23-GEP score (OR = 2.79, p = 0.013) was included in the model. When stratified on 23-GEP score, BioFLIPI was a stronger predictor of early failure in low risk (74%, OR = 2.51, p = 0.002) relative to high risk (26%, OR = 1.55, p = 0.27) patients. Similar patterns were observed for EFS and OS. Conclusions: CD4+ T-cell infiltrate and tumor gene expression appear to be independently predictive of early failure in newly diagnosed FL patients treated with IC. Future studies should integrate and validate these measures.