ALBERT

Description: Objective It is well known that myelodysplastic syndrome (MDS) and acute myeloid leukemia(AML) would develop in patients with multiple myeloma. Many of them are considered as therapy-related MDS/AML (t-MDS/AML). Use of novel agents (NAs) such as bortezomib (Bor), thalidomide (Thal), and lenalidomide (Len) has extended survival of patients with multiple myeloma (MM). However, it is concerned whether a long-term treatment with NAs may increase the risk of the t-MDS/AML. So, we explore whether NAs increase the additional-chromosomal abnormalities in patients with multiple myeloma. Methods Sequential 350 patients with MM have been treated at JRCMC from 1998 to 2013. 169 patients have been treated with at least one of the NAs (NAs user); namely Bor was administered to 154 patients, Thal 70, and Len 38. The rest of 181 patients had never been treated with either one of the NAs (NAs non-user). Some patients had additional-chromosomal abnormalities (Ad-CAs) associated with t-MDS/AML by -5/5q-, -7/7q-, der(1;7), +8, 13q-, 20q-, inv(3)/t(3;3), t(11q23), der(12p), 11q-, 16q-, t(3;21), der(1;14). We compared the frequency of Ad-CAs detected by total 1112 bone marrow G-banding findings between NAs users and non-users. Results Patients' background is not significantly different between NAs users and non-users in terms of age, sex, M-protein type, and ISS stage. 5 patients showed t-AML and 30 patients revealed t-MDS. Ad-CAs was observed in 13 out of 169 NAs users (7.7%): (Bor 11 cases, Thal 10, and Len 5), while 38 out of 181 NAs non-users (21.0%). A cumulative incidence of appearance of Ad-CAs was significantly higher in non-users (P=0.02). In addition, dose and treatment period of Thal and Len was not different between Ad-CAs-positive and negative patients, but not Melphalan (Mel). -7/7q- was the most frequent Ad-CAs (26.3%) of the 38 cases of Ad-CAs in NAs non-users. In contrast, 13q-, 20q-, and +8 were observed in 10 patients (77%), 6 (46%), and 4 (31%) of the 13 cases of Ad-CAs in NAs users, respectively. Discussion Higher dose administration of Mel was observed amongst patients who represented Ad-CAs. Treatment progress is represented in the Figure. Upper 13 patients were administered NAs, lower 38 patients were not. The time of Ad-CAs is Point 0 year, before and after treatment years are summarized in the Figure. All the patients who developed t-AML died within 2 years of development. t-MDS/AML which develops in patients with multiple myeloma has a poor prognosis and resistance to treatment. We must select chemotherapy regimen taking into account of the risk of developing t-MDS/AML. Conclusion The results of the present study demonstrated no evidence of increased risk of Ad-CAs using NAs including Len was observed. It is suggested that Ad-CAs were associated with therapy strategies that were the previous standard before NAs emerged. However, the possibility of an association between +8,13q-,20q- and the use of NAs cannot be excluded. There were drug lag of the approval of NAs issue in Japan; Bor in 2006, Thal in 2008, Len in 2010. Therefore, longer follow-up periods are necessary for an accurate assessment of the risk. Disclosures: No relevant conflicts of interest to declare.

Description: Adult T-cell leukemia/lymphoma (ATL) is an aggressive T-cell malignancy with a dismal prognosis, caused by HTLV-1. Although our previous study, mainly using whole-exome sequencing and SNP array karyotyping, discovered many driver mutations and copy number alterations (CNAs), the whole-genome landscape of ATL still remains elusive. To this end, we have performed high-depth whole-genome sequencing (WGS) of 155 ATL cases with a median sequencing depth of 96-fold for tumors. Among them, 75 cases were also analyzed by RNA sequencing (RNA-seq). In total, we detected 1,952,490 single nucleotide variants (SNVs) and 159,141 insertion-deletions (4.0 SNVs and 0.3 indels/Mb/case), 10,279 SVs (66.3 SVs/case), and 3,975 CN altered segments (25.7 segments/case). Using several driver discovery algorithms (dNdScv, MutSig2CV, and DriverPower), we identified 47 significantly mutated genes, 19 of which were mutated in more than 10% of cases. These included several novel mutations, such as those affecting XPO1 (7.1%), ZNF292 (6.5%), and ITGB1 (5.2%). Using GISTIC2.0, we identified 13 significant CNAs, such as IRF4 amplifications and CDKN2A deletions, consistent with previous SNP array data. To detect significantly recurrent SVs, we calculated SV breakpoint frequency and identified 13 genes affected by SVs, including the previously identified genes (such as CARD11, CD274, and TP73). In addition, we investigated recurrent mutations in non-coding elements by DriverPower and LARVA and discovered 12 recurrently mutated elements. Among them, the most frequent were splice site mutations, including those of HLA-A and HLA-B, most of which caused loss of function as revealed by RNA-seq. By contrast, we found recurrent mutations in TP73 splice site, which induced skipping of exons 2 and 3, generating a dominant-negative variant similar to their SVs. In addition, recurrent non-coding elements contained several novel regions, such as 3´-untranslated region (UTR) of NFKBIZ and 5´- UTR of TMSB4X. Altogether, a total of 56 genes were recurrently altered. The median number of driver alterations was eight per case, and at least one driver alteration was found in 149 cases (96.1%). Among 56 driver genes, 40 (71.4%) genes were affected by more than one alteration class. Some drivers, such as CDKN2A, IKZF2, and CD274, were affected almost exclusively by CNAs and/or SVs, while showing quite high alteration frequencies (11.6-29.0%). These observations suggest that WGS presented a substantially different overview of driver alterations from our previous study. The overall numbers of mutations and SVs were linked to these driver alterations, suggesting their etiology. In particular, inactivation of EP300 and immune-related molecules, such as HLA-A, HLA-B, and CD58, were associated with an increased number of mutations and SVs, especially deletions and tandem duplications. By contrast, cases with TP53-altered cases harbored more inversions and translocations. These results emphasize a pivotal role of immune evasion for acquiring genetic alterations to drive ATL progression. To define molecular subgroups in ATL, we integrated the 56 identified genetic drivers using non-negative matrix factorization clustering and identified two robust subgroups with discrete clinical and genetic characteristics. Group 1 was enriched with alterations affecting distal components of T-cell receptor (TCR)/NF-κB signaling (such as CARD11, PRKCB, and IRF4) and immune-related molecules (HLA-A, HLA-B, and CD58), whereas proximal regulators of TCR/NF-κB signaling (PLCG1, VAV1, and CD28) and a JAK/STAT signaling molecule (STAT3) were more frequently altered in group 2. In addition, group 1 cases had a larger number of mutations, SVs, and CNAs than group 2 cases. Clinically, most cases with lymphoma subtype were classified into group 1, whereas group 2 mainly consisted of cases with leukemic subtypes. Moreover, group1 cases showed a worse overall survival than group 2, independently of clinical subtype. These results suggest the biological and clinical relevance of the molecular classification of ATL. In summary, our WGS analysis not only identifies novel somatic alterations but also extends the overview of ATL genome. We also propose a new molecular classification of ATL, with its clinical relevance, which can lead to the future improvement of patient management. Disclosures Kogure: Takeda Pharmaceutical Company Limited.: Honoraria. Nosaka:Kyowa Kirin Co.Ltd: Honoraria; Chugai pharmaceutical Co. Ltd: Honoraria; Novartis international AG: Honoraria; Celgene K.K: Honoraria; Eisai Co., Ltd: Honoraria; Merck Sharp & Dohme K.K.: Honoraria; Bristol-Myer Squibb: Honoraria. Imaizumi:Kyowa Kirin Co. Ltd.: Honoraria; Bristol-Myers Squibb: Honoraria; Celgene: Honoraria; Eisai: Honoraria. Utsunomiya:Kyowa Kirin: Honoraria; Celgene: Honoraria. Shah:Celgene: Research Funding; BMS: Research Funding; Physicians Education Resource: Honoraria. Janakiram:Takeda, Fate, Nektar: Research Funding. Ramos:NIH: Research Funding. Takaori-Kondo:Astellas Pharma: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria, Research Funding; Kyowa Kirin: Honoraria, Research Funding; Ono Pharmaceutical: Research Funding; Thyas Co. Ltd.: Research Funding; Takeda: Research Funding; CHUGAI: Research Funding; Eisai: Research Funding; Nippon Shinyaku: Research Funding; Otsuka Pharmaceutical: Research Funding; Pfizer: Research Funding; OHARA Pharmaceutical: Research Funding; Sanofi: Research Funding; Novartis Pharma: Honoraria; MSD: Honoraria. Miyazaki:Sumitomo Dainippon Pharma Co., Ltd.: Honoraria; Kyowa Kirin Co., Ltd.: Honoraria; Chugai Pharmaceutical Co., Ltd.: Honoraria; Celgene: Honoraria; NIPPON SHINYAKU CO.,LTD.: Honoraria; Otsuka Pharmaceutical: Honoraria; Novartis Pharma KK: Honoraria; Astellas Pharma Inc.: Honoraria. Matsuoka:Chugai Pharmaceutical Co. Ltd: Research Funding; Bristol-Myers Squibb: Research Funding; Kyowa Kirin Co. Ltd.: Research Funding. Ishitsuka:Takeda: Other: Personal fees, Research Funding; mundiharma: Other: Personal fees; Taiho Pharmaceuticals: Other: Personal fees, Research Funding; Janssen Pharmaceuticals: Other: Personal fees; Novartis: Other: Personal fees; Pfizer: Other: Personal fees; Astellas Pharma: Other, Research Funding; Genzyme: Other; Sumitomo Dainippon Pharma: Other, Research Funding; Eisai: Other, Research Funding; Mochida: Other, Research Funding; Shire: Other; Otsuka Pharmaceutical: Other; Ono Pharmaceutical: Other, Research Funding; Teijin Pharma: Research Funding; MSD: Research Funding; Asahi kasei: Research Funding; Eli Lilly: Research Funding; Daiichi Sankyo: Other; Huya Japan: Other; Celgene: Other: Personal Fees; Kyowa Hakko Kirin: Other: Personal fees, Research Funding; BMS: Other: Personal fees; Chugai Pharmaceutical: Other: Personal fees, Research Funding. Ogawa:Asahi Genomics Co., Ltd.: Current equity holder in private company; Chordia Therapeutics, Inc.: Membership on an entity's Board of Directors or advisory committees, Research Funding; KAN Research Institute, Inc.: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sumitomo Dainippon Pharma Co., Ltd.: Research Funding; Otsuka Pharmaceutical Co., Ltd.: Research Funding; Eisai Co., Ltd.: Research Funding. Shimoda:Takeda Pharmaceutical Company: Honoraria; Bristol-Myers Squibb: Honoraria; Shire plc: Honoraria; Celgene: Honoraria; Perseus Proteomics: Research Funding; PharmaEssentia Japan: Research Funding; AbbVie Inc.: Research Funding; Astellas Pharma: Research Funding; Merck & Co.: Research Funding; CHUGAI PHARMACEUTICAL CO., LTD.: Research Funding; Kyowa Hakko Kirin Co., Ltd.: Research Funding; Pfizer Inc.: Research Funding; Otsuka Pharmaceutical: Research Funding; Asahi Kasei Medical: Research Funding; Japanese Society of Hematology: Research Funding; The Shinnihon Foundation of Advanced Medical Treatment Research: Research Funding; Novartis: Honoraria, Research Funding. Kataoka:CHUGAI PHARMACEUTICAL CO., LTD.: Research Funding; Takeda Pharmaceutical Company: Research Funding; Otsuka Pharmaceutical: Research Funding; Asahi Genomics: Current equity holder in private company.

Description: Adult T-cell leukemia/lymphoma (ATL) is an aggressive peripheral T-cell malignancy, caused by human T-cell leukemia virus type-1 (HTLV-1) infection. To elucidate immune microenvironment and heterogeneity of HTLV-1-infected normal and leukemic cells, we performed multi-omics single cell analysis, evaluating whole-transcriptome, 101 surface marker proteins, and T/B-cell receptor repertoires in the same single cells. We analyzed 236,192 peripheral blood mononuclear cells (PBMCs) from 31 ATL patients (35 samples including 4 sequential samples), 11 HTLV-1-infected carriers, and 4 healthy donors. In our analysis, expression of HTLV-1-related genes, such as HBZ, clearly identified a distinct cluster of HTLV-1-infected cells within non-malignant CD4+ T cells. These cells are characterized by a CD45RO+CD62L-CD7-CCR4+CD25+CD73+ memory/effector phenotype. By contrast, malignant ATL cells were segregated into different clusters across patients, suggestive of inter-tumor heterogeneity. Transcriptome analysis of CD4+ T cells revealed up-regulation of interferon (IFN) responses and down-regulation of TNFa signaling in malignant ATL cells compared with HTLV-1-infected normal CD4+ T cells. Likewise, sequential sample analysis showed that progression from indolent to aggressive disease enhanced IFN responses, suggesting a pivotal role of this pathway in the ATL pathogenesis. Surface marker protein analysis demonstrated that HTLV-1 infection up-regulated the expression of stimulatory and inhibitory immune checkpoint molecules (such as OX40 and TIGIT, respectively), which was further augmented by ATL progression. Within malignant cells, we identified a fraction of cycling cells present across most ATL samples. This fraction showed an enhanced T-cell activation markers, such as CD25 and HLA-DR, and their frequency was increased in aggressive subtypes. On the other hand, in HTLV-1-infected carriers, HTLV-1-infected CD4+ T cells contained a small population of malignant-like cells showing clonal expansion. The degree of clonal expansion was significantly correlated with HTLV-1 viral load in PBMCs. These results clarify the heterogeneity within HTLV-1-infected cells and ATL malignant cells, pointing to its relevance during ATL initiation and progression. We also observed dynamic changes of the immune microenvironment in ATL. Although the relative frequencies of other cell types remained almost the same or reduced, only myeloid cells were increased in ATL patients compared with in HTLV-1-infected carriers. Re-clustering of myeloid cells identified a novel cluster of monocytes expressing FCGR1A, encoding CD64, a biomarker of IFN-stimulated gene levels. Transcriptome analysis revealed increased IFN signaling and decreased TNFa in myeloid cells from ATL patients compared with HTLV-1-infected carriers. Similar expression signatures changes were also observed in various immune cell types, such as B, CD8+ T, and NK cells, in ATL patients. In addition, substantial changes of surface marker proteins were also found in ATL patients. Particularly, T-cell activation markers, such as HLA-DR, and inhibitory immune checkpoint molecules, such as PD-1 and TIM-3, were up-regulated in CD8+ T cells from ATL patients. A co-culture experiment of ATL cell lines with PBMCs from healthy volunteers demonstrated that ATL cells induced immune-phenotypic changes of myeloid and CD8+ T cells, similar to those observed in ATL patient by our single-cell analysis, confirming the role of ATL cells in the modulation of the immune system. Taken together, the composition and function of immune microenvironment is dramatically altered in ATL patients, which may contribute to immunosuppression and disease progression in ATL. In summary, our multi-omics single-cell analysis comprehensively dissects the cellular and molecular architecture in HTLV-1-infected carriers and ATL patients. In particular, our approach clearly defines HTLV-1-infected cells by the expression of HTLV-1-related genes, leading to the detailed characterization of HTLV-1-infected cells and elucidation of their difference from ATL malignant cells. These findings will help to devise novel diagnostic and therapeutic strategies for HTLV-1-related disorders. Disclosures Kogure: Takeda Pharmaceutical Company Limited.: Honoraria. Shimoda:Japanese Society of Hematology: Research Funding; The Shinnihon Foundation of Advanced Medical Treatment Research: Research Funding; Bristol-Myers Squibb: Honoraria; Takeda Pharmaceutical Company: Honoraria; Novartis: Honoraria, Research Funding; CHUGAI PHARMACEUTICAL CO., LTD.: Research Funding; Kyowa Hakko Kirin Co., Ltd.: Research Funding; Pfizer Inc.: Research Funding; Otsuka Pharmaceutical: Research Funding; Asahi Kasei Medical: Research Funding; Shire plc: Honoraria; Celgene: Honoraria; Perseus Proteomics: Research Funding; PharmaEssentia Japan: Research Funding; AbbVie Inc.: Research Funding; Astellas Pharma: Research Funding; Merck & Co.: Research Funding. Kataoka:CHUGAI PHARMACEUTICAL CO., LTD.: Research Funding; Takeda Pharmaceutical Company: Research Funding; Otsuka Pharmaceutical: Research Funding; Asahi Genomics: Current equity holder in private company.

Description: Adult T-cell leukemia/lymphoma (ATL) is an aggressive neoplasm immunophenotypically resembling regulatory T cells, associated with human T-cell leukemia virus type-1. Here we performed whole-genome sequencing (WGS) of 150 ATL cases to reveal the overarching landscape of genetic alterations in ATL. We discovered frequent (33%) loss-of-function alterations preferentially targeting the CIC long isoform, which were overlooked by previous exome-centric studies of various cancer types. Long but not short isoform-specific inactivation of Cic selectively increased CD4+CD25+Foxp3+ T cells in vivo. We also found recurrent (13%) 3′-truncations of REL, which induce transcriptional upregulation and generate gain-of-function proteins. More importantly, REL truncations are also common in diffuse large B-cell lymphoma, especially in germinal center B-cell-like subtype (12%). In the non-coding genome, we identified recurrent mutations in regulatory elements, particularly splice sites, of several driver genes. In addition, we characterized the different mutational processes operative in clustered hypermutation sites within and outside immunoglobulin/T-cell receptor genes and identified the mutational enrichment at the binding sites of host and viral transcription factors suggesting their activities in ATL. By combining the analyses for coding and non-coding mutations, structural variations, and copy number alterations, we discovered 56 recurrently altered driver genes, including 11 novel ones. Finally, ATL cases were classified into two molecular groups with distinct clinical and genetic characteristics based on the driver alteration profile. Our findings not only help to improve diagnostic and therapeutic strategies in ATL, but also provide insights into T-cell biology and have implications for genome-wide cancer driver discovery.