ALBERT

Description: The IGHV4-34 gene is very frequent (~10%) in the B cell receptor immunoglobulin (BcR IG) gene repertoire of chronic lymphocytic leukemia (CLL). Over 30% of IGHV4-34 CLL cases can be assigned to different subsets with stereotyped BcR IG. The largest is subset #4 which represents ~1% of all CLL and ~10% of IGHV4-34 CLL and is considered a prototype for indolent disease. The BcR IG of a great majority (~85%) of IGHV4-34 CLL cases carry a significant load of somatic hypermutation (SHM), often with distinctive SHM patterns. This holds especially true for stereotyped subsets and is suggestive of particular modes of interactions with the selecting antigen(s). In detail, subsets #4 and #16, both involving IgG-switched cases (IgG-CLL), exhibit the greatest sequence similarity in SHM profiles, whereas they differ in this respect from IgM/D subsets #29 and #201. Prompted by these observations, here we explored the extent that these subset-biased SHM profiles in different IGHV4-34 stereotyped subsets were reflected in distinct demographics, clinical presentation, genomic aberrations and outcomes. Within a multi-institutional series of 20,331 CLL patients, 1790 (8.8%) expressed IGHV4-34 BcR IG. Following established bioinformatics approaches for the identification of BcR IG stereotypy, 573/1790 IGHV4-34 CLL cases (32%) were assigned to stereotyped subsets; of these, 340 cases (19% of all IGHV4-34 CLL and 60% of stereotyped IGHV4-34 cases) belonged to subsets #4, #16, #29 and #201, all concerning IGHV-mutated CLL (M-CLL). Clinicobiological information was available for 275/340 patients: #4, n=150; #16, n=44; #29, n=39; and #201, n=42. Comparisons between subsets revealed no differences in gender and age distribution. Interestingly, however, 36-43% of each subset cases were young for CLL (defined as patients aged ≤55 years), which is higher compared to general CLL cohorts, where young patients generally account for ~25% of cases. In contrast, significant differences were identified between subsets regarding: (i) disease stage at diagnosis, with 〉90% of IgG subsets #4 and #16 diagnosed at Binet stage A versus 83% in subset #201 and 74% in subset #29 (p=0.029); (ii) CD38 expression, ranging from 1% in subset #4 to 10% in subset #201 (p=0.013); (iii) the distribution of del(13q), peaking at a remarkable 92% in subset #29 versus only 37% in subset #16 (p

Description: The classification of CLL patients according to the somatic hypermutation status (SHM) of the immunoglobulin heavy variable (IGHV) genes, namely mutated (M-CLL) versus unmutated (U-CLL), reflects fundamental differences in disease biology and clinical course. Realizing this, here we followed a compartmentalized approach and addressed the issue of prognostication separately for M-CLL and U-CLL. In a multi-institutional cohort of 2366 patients [M-CLL, n=1364 (58%); U-CLL, n=1002 (42%)] consolidated within ERIC, the European Initiative in CLL, we assessed the clinical impact of 'traditional' (age and clinical stage at the time of diagnosis, gender, CD38 expression, FISH detected abnormalities included in the Döhner hierarchical model of cytogenetic aberrations), and novel prognosticators (recurrent mutations within the TP53, SF3B1, NOTCH1, MYD88, and BIRC3 genes; IGHV gene usage; membership in stereotyped subsets) within M-CLL and U-CLL. Our statistical approach was based both on Cox regression models and recursive partitioning algorithms; internal validation was performed via bootstrapping procedures. Given the retrospective nature of our study, time-to-first-treatment (TTFT) was the primary endpoint. As expected, M-CLL exhibited significantly longer TTFT compared to U-CLL [median TTFT: not yet reached (M-CLL) vs 1.9 years (95% CI: 0.01-12.3 years, U-CLL), p

Description: Key Points CLL stereotyped subset #2 (IGHV3-21/IGLV3-21) is uniformly aggressive independently of somatic hypermutation status. The prognosis for non–subset #2/IGHV3-21 CLL resembles that of the remaining CLL cases with similar somatic hypermutation status.

Description: The existence of stereotyped B cell receptor immunoglobulins (BcR IG) in chronic lymphocytic leukemia (CLL) strongly implicated antigen selection in disease ontogeny. We have previously shown that the stereotyped fraction encompasses ~30% of all CLL and includes multiple subsets with distinct BcR IG configuration and variable size. Eventually, certain major subsets emerged as distinct clinical entities, exemplified by subset #2 (IGHV3-21/IGLV3-21, ~2.5-3% of all CLL, mixed somatic hypermutation (SHM) status) of a particularly aggressive clinical course, thus, sharply contrasting subset #4 (IGHV4-34/IGKV2-30, ~1% of all CLL, mutated IGHV genes, M-CLL), a prototype for indolent disease. Here, taking advantage of a multi-institutional cohort of 21,123 CLL IG rearrangements, almost three times the size of the largest previous study, and the availability of validated, purpose-built immunoinformatics methods, we reappraised BcR IG stereotypy especially focusing on major subsets and the degree of their sequence similarity to related minor subsets. Stereotypy discovery was performed with ARResT/Teiresias, while stereotypy assignment to existing subsets previously deemed as major was performed with ARResT/AssignSubsets (http://bat.infspire.org/arrest/). In the present study, a subset was characterized as major if representing 〉 0.2% of the cohort (i.e. at least 50 cases). Minor subsets closely related to major ones (termed satellite) were identified applying the following criteria: (i) usage of IGHV genes from the same phylogenetic clan; (ii) VH CDR3 length difference ranging from -2 to +2 compared to the respective major subset; (iii) shared VH CDR3 sequence motif; and, (iv) -2 to +2 difference in the offset of the VH CDR3 motif compared to the respective major subset. In total, 7378/21123 (34.9%) IG sequences were grouped into subsets with stereotyped VH CDR3, with the previously characterized 19 major subsets accounting collectively for 2594 sequences (12.3%) of the cohort: of these, 12 included cases with unmutated IGHV genes (U-CLL), 6 concerned M-CLL and 1 (subset #2) included cases with mixed SHM status. Four additional subsets exceeded 50 cases, and, thus, were also considered as 'major'. These results reinforce the notion that not all CLL will end up being stereotyped but rather that a plateau for stereotypy exists at ~1/3 of the cohort. Subset #2 was the largest subset (n=572, 2.7%), while subset #1 (IGHV clan I (IGHV1,5,7 subgroups)/IGKV1(D)-39) was the most frequent subset within U-CLL (n=515, 2.4%) and subset #4 the most common M-CLL subset (n=192, 0.9%), hence displaying remarkable consistency regarding their frequency in all cohorts published since the pioneering studies. Altogether, Teiresias and AssignSubsets gave concordant results for previously identified major subsets, illustrating the validity of our approach. Satellite subsets were sought for individually for each major subset. In general, few satellite subsets were identified, most of which concerned U-CLL major subsets. That notwithstanding, notable cases of satellite subsets were exemplified by major subset #1 and its satellite subset #99 from which it differed only in VH CDR3 length (13 aminoacids in subset #1 versus 14 in subset #99); interestingly, both subsets displayed equally aggressive clinical course. Another example concerned subset #8 (IGHV4-39/IGKV1(D)-39, U-CLL), an aggressive subset with very high risk for Richter's transformation, that, except for a one-aminoacid difference in VH CDR3 length, was otherwise identical to satellite subset #215, also displaying clinical aggressiveness. Overall, our results confirm that major subsets can be robustly identified and are consistent in relative size, hence representing distinct disease subgroups amenable to compartmentalized research with the potential of overcoming the pronounced heterogeneity of CLL. Most major subsets display unique sequence motifs, however satellite subsets exist, especially within U-CLL. Considering ever-increasing evidence that major stereotyped subsets may represent distinct disease subgroups, the existence of satellite subsets reveals a novel aspect of repertoire restriction and has implications for refined molecular classification of CLL. Disclosures Shanafelt: Genentech: Research Funding; GlaxoSmithkKine: Research Funding; Celgene: Research Funding; Janssen: Research Funding; Pharmacyclics: Research Funding; Cephalon: Research Funding; Hospira: Research Funding. Gaidano:Roche: Consultancy, Honoraria, Speakers Bureau; Karyopharm: Consultancy, Honoraria; Morphosys: Consultancy, Honoraria; Gilead: Consultancy, Honoraria, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Speakers Bureau. Niemann:Janssen: Consultancy; Abbvie: Consultancy; Roche: Consultancy; Gilead: Consultancy. Langerak:F. Hofmann-LaRoche, Genentech: Research Funding; InVivoScribe Technologies: Patents & Royalties: Royalties are provided to European Network (EuroClonality). Jaeger:Roche: Honoraria, Research Funding; Celgene: Honoraria, Research Funding. Kater:Celgene: Research Funding; Gilead: Research Funding; Janssen: Consultancy, Research Funding; Roche: Consultancy, Research Funding; Abbvie: Consultancy, Research Funding. Stilgenbauer:Amgen: Consultancy, Honoraria, Other: Travel grants, Research Funding; Gilead: Consultancy, Honoraria, Other: Travel grants , Research Funding; Genentech: Consultancy, Honoraria, Other: Travel grants , Research Funding; Celgene: Consultancy, Honoraria, Other: Travel grants , Research Funding; Boehringer Ingelheim: Consultancy, Honoraria, Other: Travel grants , Research Funding; Genzyme: Consultancy, Honoraria, Other: Travel grants , Research Funding; AbbVie: Consultancy, Honoraria, Other: Travel grants, Research Funding; GSK: Consultancy, Honoraria, Other: Travel grants , Research Funding; Janssen: Consultancy, Honoraria, Other: Travel grants , Research Funding; Mundipharma: Consultancy, Honoraria, Other: Travel grants , Research Funding; Novartis: Consultancy, Honoraria, Other: Travel grants , Research Funding; Pharmacyclics: Consultancy, Honoraria, Other: Travel grants , Research Funding; Hoffmann-La Roche: Consultancy, Honoraria, Other: Travel grants , Research Funding; Sanofi: Consultancy, Honoraria, Other: Travel grants , Research Funding. Hallek:Gilead: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; F. Hoffmann-LaRoche: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Mundipharma: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; AbbVie: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Janssen-Cilag: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau. Rosenquist:Gilead Sciences: Speakers Bureau. Ghia:Gilead: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; Roche: Honoraria, Research Funding; Adaptive: Consultancy; Abbvie: Consultancy, Honoraria. Stamatopoulos:Novartis: Honoraria, Research Funding; Abbvie: Honoraria, Other: Travel expenses; Janssen: Honoraria, Other: Travel expenses, Research Funding; Gilead: Consultancy, Honoraria, Research Funding.

Description: Introduction: Transformation of Marginal Zone Lymphoma (MZL) into an aggressive histology is uncommon phenomenon that can occur at any time after diagnosis and is expected to have a detrimental impact on prognosis. Biological and clinical knowledge on transformed Marginal Zone Lymphoma (tMZL) is poor and no standard treatment is established in the Rituximab era for these patients (pts). We retrospectively analyzed all consecutive biopsy proven tMZL in two Italian Hematological Divisions from 2002 to 2014 and we focused on post-transformation treatment and outcome. Methods: The dataset included 378 MZL pts diagnosed between 2002 and 2014 at Division of Hematology in Pavia and in Milan (Niguarda Hospital): 204 pts (53.9%) by extranodal MALT lymphomas, 113 pts (29.8%) by splenic MZL, and 61 pts (16.3%) by nodal MZL. Histological transformation (HT) was defined as transformation into an aggressive lymphoma at any time from previous MZL diagnosis; only cases with biopsy confirmed HT were comprised in the present analysis, while cases with only clinical suspicion of transformation were not counted as tMZL. Results: HT was documented in 18 of the 378 pts (4.8%), 6.5% in nodal MZL, 7.0% in splenic MZL and 2.9% in MALT. Histology at transformation was Diffuse Large B-Cell lymphoma in all but one case; the remaining pt was diagnosed as high-grade B-cell lymphoma, unclassifiable. CD20 was negative only in one Rituximab-naïve pt. Median time from first diagnosis to HT was 31 months (range: 10-124) and median number of previous therapies was 1 (range 0-1); pts received first line therapy listed in table 1. Median age at transformation was 68 years (range: 46-85), M/F ratio was 0.8. In the tMZL population, first diagnosis was nodal MZL in 4 pts (22%), splenic MZL in 8 pts (45%) and MALT in 6 pts (33%). At first diagnosis of MZL, 72% of t-MZL pts had stage IV disease, 17% had B symptoms, 11% had elevated LDH and ECOG performance status was lower than 2 in all the cases. HCV serology was positive in 5/17 cases; HCV status was not available for one pt. At HT disease stage was III or IV in 14 pts (78%), B symptoms were present in 7 pts (39%), LDH and beta2microglobulin were both elevated in 7 pts (39%) and ECOG performance status was lower than 2 in all the cases. Pts received post-HT treatment listed in table 2. At time of analysis 6 pts died (33%), and the main cause of death was progressive disease. With a median post-transformation follow-up of 16.6 months (range: 2-98), the 2-years Progression-Free Survival (PFS) was 45,4 % and the 2-years Overall Survival (OS) was 56.75%. No correlation was found between the following characteristics and survival: MZL type at first diagnosis, stage, symptoms, LDH and ECOG at HT, number and types of pre-HT therapies. Conclusions: This large cohort confirms that HT is a relatively rare and early event in MZL. At present time, we did not identify any feature predictive of outcome for transformed MZL. Chemotherapy in combination with Rituximab showed to be an effective treatment for tMZL. Table 1 First line treatment N. of patients % Therapy strategy CVP 7 39 Anthracycline-containing regimen 2 11 Chlorambucil monotherapy 5 28 Splenectomy 1 5.5 H.pylori eradication 1 5.5 Watch and wait strategy 2 11 Rituximab incorporation Included in first line therapy 6 33 Maintenance 0 0 Response ORR (%) 67 CRR (%) 33 Table 2. Post-HT treatment N. of patients % Therapy strategy CHOP regimen 16 89 Platinum-containing regimen 1 5.5 Missing 1 5.5 Rituximab incorporation Included in first line therapy 17 94 Maintenance 0 0 ASCT consolidation 3 17 Response ORR (%) 61 CRR (%) 59 Disclosures Rusconi: Roche: Honoraria.

Description: BACKGROUND In the setting of cHL, ABVD (adriamycin, bleomycin, vinblastine, dacarbazine) is the most widely used first line chemotherapeutic treatment and it is well known that this regimen is associated with a high emetic risk (HEC). Palonosetron (PALO) currently represents one of the most effective and implemented drug for CINV prevention, but after many ABVD cycles patients (pts) frequently need to add other antiemetic drugs to obtain a good control of their symptoms. Netupitant (NETU) is the NK1-RA (neurokinin receptor antagonist) component of NEPA, the first antiemetic drug available as oral fixed combination: NETU (300mg) + PALO (0.5mg). Both ABVD drugs and NETU are metabolized by cytochrome P-450 isoform 3A4 (CYP3A4), but respect to other NK1-receptor antagonist available, NETU has demonstrated to have no clinical relevant interaction with chemotherapy drugs like etoposide, cyclophosphamide and docetaxel. However, no data are currently available about the safety profile of NETU in the setting of ABVD treatment; for that reason we started the use of this drug as salvage therapy after PALO failure. METHODS We retrospectively analyzed the cHL pts treated with ABVD at our Center from September 2016 to January 2018. We used PALO + dexamethasone as first-line anti-CINV prophylaxis, while NEPA was introduced as salvage drug for those pts with inadequately controlled CINV. We collected data regarding demographics; diagnosis; planned chemotherapeutic treatment; performed chemotherapeutic treatment; acute, delayed and anticipatory CINV (before and after NEPA); laboratory findings including transaminases, creatinine and electrolytes (before and after NEPA); adverse reactions (before and after NEPA). The primary endpoint of the study was safety of NEPA in ABVD treated pts, while CINV control (no nausea or vomiting) was the secondary endpoint. NEPA-related safety data have been compared to the same data collected at the moment of the last previous PALO-containing regimen. RESULTS Among the 32 pts treated with ABVD during the study period, 13 (41%) received NEPA. Three pts were males and 10 females, and median age was 33 years (range 18-61). According to disease characteristics at diagnosis the planned ABVD administrations were 12 (6 cycles) in 9 pts, 8 (4 cycles) in 3 pts and 4 (2 cycles) in 1 pt. Nine pts completed the planned chemotherapy, 1 pt skipped the last cycle for personal decision, 3 pts are ongoing treatment at the time of analysis. Reasons for shift to NEPA are as follows: acute (grade 2) CINV alone in 3/13 pts; late (grade 2) CINV alone in 3/13 pts; combined acute (4 grade 2, 1 grade 1) and late (4 grade 2, 1 grade 1) CINV in 5/13 pts; combined anticipatory (grade 1), acute (grade 1) and late (grade 2) CINV in 2/13 pts. NEPA was started after a median of 4 ABVD administrations (range 1-10). Globally 53 NEPA administrations were delivered during subsequent cycles (median number of 3 NEPA administrations for each pt, range 1-11). With regard to the primary endpoint, the observed adverse events are listed in Table 1. With regard to the secondary endpoint, anticipatory, acute and delayed CINV were detected in 15%, 77%, 77%, of PALO pts and 15%, 46% and 15% of NEPA pts, respectively (see Table 2) CONCLUSION In our experience NETU did not show drug-drug interaction with ABVD chemotherapy agents, and NEPA administration was globally well tolerated with mild and transient adverse events. Furthermore, in cHL ABVD treated pts who experienced nausea and/or vomiting after failure of PALO + dexamethasone antiemetic prophylaxis, NEPA has demonstrated to be effective in CINV control. In 4 out of 13 cases, after an initial improvement in CINV control, pts subsequently required to shift to anti-CINV third line treatments. On the other hand, the 9 pts who continued on NEPA administration could experience an optimal CINV control immediately after the first administration. At our knowledge no data have been published regarding NEPA toxicities in the ABVD setting. Our safety and efficacy data come from a real life experience of consecutive pts treated homogeneously at a single center and would suggest the use of NEPA as primary anti-CINV prophylaxis in previously untreated cHL pts. Disclosures Rusconi: Celgene: Research Funding.

Description: This paper reports the first record of extreme ozone measurement in Africa. As part of the AMMA program, the ozone vertical profile recorded on 20 December over Cotonou presents exceptionally high ozone concentrations with up to 295 ppbv at 1 km altitude. Retroplumes from the Flexpart model show that the air masses sampled at 1 km over Cotonou on this day come from the burning area situated north-east of Cotonou and pass over Lagos, Nigeria, which is highly impacted by urban pollution. We used the Master Mechanism box model to simulate the chemical composition of the plume during its transit. We find that neither the biomass burning emissions of ozone precursors nor additional urban emissions from Lagos are high enough to simulate more than 120–150 ppbv of ozone. The only way to reach almost 300 ppb of ozone within a few hours is to feed the air mass with large amounts of reactive VOCs as those recorded in the vicinity of petrochemical area. Sensitivity tests show that 250–600 ppbv of VOCs combined with 35–80 ppb of NOx allow the ozone concentrations to be higher than 250 ppb. Nigeria is the first African country with gas extraction and petrochemical industries, and petrochemical explosions frequently happen in the vicinity of Lagos. The hypothesis of a petrochemical explosion in this area is the most likely scenario which explains the 295 ppbv ozone maximum measured over Cotonou, downwind of Lagos.

Description: As part of the African Monsoon Multidisciplinary Analysis (AMMA) program, a total of 98 ozone vertical profiles over Cotonou, Benin, have been measured during a 26 month period (December 2004–January 2007). These regular measurements broadly document the seasonal and interannual variability of ozone in both the troposphere and the lower stratosphere over West Africa for the first time. This data set is complementary to the MOZAIC observations made from Lagos between 0 and 12 km during the period 1998–2004. Both data sets highlight the unique way in which West Africa is impacted by two biomass burning seasons: in December–February (dry season) due to burning in the Sahelian band and in June-August (wet season) due to burning in southern Africa. High interannual variabilities between Cotonou and Lagos data sets and within each data set are observed and are found to be a major characteristic of this region. In particular, the dry and wet seasons are discussed in order to set the data of the Special Observing Periods (SOPs) into a climatological context. Compared to other dry and wet seasons, the 2006 dry and wet season campaigns took place in rather high ozone environments. During the sampled wet seasons, southern intrusions of biomass burning were particularly frequent with concentrations up to 120 ppbv of ozone in the lower troposphere. An insight into the ozone distribution in the upper troposphere and the lower stratosphere (up to 26 km) is given. The first tropospheric columns of ozone based on in-situ data over West Africa are assessed. They compare well with satellite products on seasonal and interannual time-scales, provided that the layer below 850 hPa where the remote instrument is less sensitive to ozone, is removed.