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Tai, Yu‐Tzu

0000-0001-6199-3569

Mayo Clinic

Dana-Farber Cancer Institute

Citations 8

Genomic Profiling of Smoldering Multiple Myeloma Classifies Molecular Groups with Distinct Pathogenic Phenotypes and Clinical Outcomes
Bustoros, Mark , Sklavenitis‐Pistofidis, Romanos , Boyle, Eileen M. , Neuse, Carl Jannes , Chavda, Selina J , Boehner, Cody J. , Rahmat, Mahshid , Zhitomirsky, Benny , Dutta, Ankit K. , Trippa, Lorenzo , Casneuf, Tineke, Boyle, Eileen M , Sklavenitis-Pistofidis, Romanos , Anand, Shankara K. , Redd, Robert , Tai, Yu‐Tzu , Dunford, Andrew , Stewart, Chip , Kastritis, Efstathios , Walker, Brian A. , Davies, Faith E. , Dimopoulos, Meletios Α. , Bergsagel, P. Leif , Yong, Kwee , Morgan, Gareth J. , Aguet, François , Getz, Gad , Ghobrial, Irene M.

Blood | November 23, 2021 | Volume: 138 | Issue: Supplement 1 | Pages: 723-723

10.1182/blood-2021-150767 Get It

Abstract Introduction: Multiple Myeloma (MM) is an incurable plasma cell malignancy commonly preceded by the asymptomatic stage smoldering multiple myeloma (SMM). MM is characterized with significant genomic heterogeneity of chromosomal gains and losses (CNVs), translocations, and point mutations (SNVs); alterations that are also observed in SMM patients. However, current SMM risk models rely solely on clinical markers and do not accurately capture progression risk. While incorporating some genomic biomarkers improves prediction, using all MM genomic features to comprehensively stratify patients may increase risk stratification precision in SMM. Methods: We obtained a total of 214 patient samples at SMM diagnosis. We performed whole-exome sequencing on 166 tumors; of these, RNA sequencing was performed on 100. Targeted capture was done on 48 additional tumors. Upon binarization of DNA features, we performed consensus non-negative matrix factorization to identify distinct molecular clusters. We then trained a random forest classifier on translocations, SNVs, and CNVs. The predicted clinical outcomes for the molecular subtypes were further validated in an independent SMM cohort of 74 patients. Results: We identified six genomic subtypes, four with hyperdiploidy (>48 chromosomes, HMC, HKR, HNT, HNF) and two with IgH translocations (FMD, CND) (Table 1). In multivariate analysis accounting for IMWG (20-2-20) clinical risk stages, high-risk (HMC, FMD, HKR) and intermediate-risk (HNT, HNF) genetic subtypes were independent predictors of progression (Hazards ratio [HR]: 3.8 and 5.5, P = 0.016 and 0.001, respectively). The low-risk, CND subtype harboring translocation (11;14) was enriched for the previously defined CD-2 MM signature defined by the B cell markers CD20 and CD79A (FDR = 0.003 ), showed upregulation of CCND1, E2F1, and E2F7 (FDR = 0.01, 0.0004, 0.08), and was enriched for G2M checkpoint, heme metabolism, and monocyte cell signature (FDR = 0.003, 0.003, 0.003, respectively). The FMD subtype with IgH translocations (4;14) and (14;16) was enriched for P53, mTORC1, unfolded protein signaling pathways and plasmacytoid dendritic cell signatures (FDR = 0.01, 0.005, 0.008, respectively). The HKR tumors were enriched for inflammatory cytokine signaling, MYC target genes, T regulatory cell signature, and the MM proliferative (PR) signatures (FDR = 0.02, 0.03, 0.007, 0.02, respectively). The APOBEC mutational signature was enriched in HMC and FMD tumors (P = 0.005), while there was no statistical difference across subtypes in the AID signature. The median follow-up for the primary cohort is 7.1 years. Median TTP for patients in HMC, FMD, and HKR was 3.8, 2.6, and 2.2 years, respectively; TTP for HNT and HNF was 4.3 and 5.2, respectively, while it was 11 years in CND patients (P = 0.007). Moreover, by analyzing the changes in MM clinical biomarkers over time, we found that patients from high-risk subgroups had higher odds of developing evolving hemoglobin and monoclonal protein levels over time (P = 0.01 and 0.002, respectively); Moreover, the absolute increase in M-protein was significantly higher in patients from the high-risk genetic subtypes at one, two, and five years from diagnosis (P = 0.001, 0.03, and 0,01, respectively). Applying the classifier to the external cohort replicated our findings where intermediate and high-risk genetic subgroups conferred increased risk of progression to MM in multivariate analysis after accounting for IMWG staging (HR: 5.5 and 9.8, P = 0.04 and 0.005, respectively). Interestingly, within the intermediate-risk clinical group in the primary cohort, patients in the high-risk genetic subgroups had increased risk of progression (HR: 5.2, 95% CI 1.5 - 17.3, P = 0.007). In the validation cohort, these patients also had an increased risk of progression to MM (HR: 6.7, 95% CI 1.2 - 38.3, P = 0.03), indicating that molecular classification improves the clinical risk-stratification models. Conclusion: We identified and validated in an independent dataset six SMM molecular subgroups with distinct DNA alterations, transcriptional profiles, dysregulated pathways, and risks of progression to active MM. Our results underscore the importance of molecular classification in addition to clinical evaluation in better identifying high-risk SMM patients. Moreover, these subgroups may be used to identify tumor vulnerabilities and target them with precision medicine efforts. Figure 1 Figure 1. Disclosures Bustoros: Janssen, Bristol Myers Squibb: Honoraria, Speakers Bureau; Takeda: Consultancy, Honoraria. Casneuf: Janssen: Current Employment. Kastritis: Amgen: Consultancy, Honoraria, Research Funding; Takeda: Honoraria; Pfizer: Consultancy, Honoraria, Research Funding; Genesis Pharma: Honoraria; Janssen: Consultancy, Honoraria, Research Funding. Walker: Bristol Myers Squibb: Research Funding; Sanofi: Speakers Bureau. Davies: Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; BMS: Consultancy, Honoraria; Roche: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. Dimopoulos: Amgen: Honoraria; BMS: Honoraria; Takeda: Honoraria; Beigene: Honoraria; Janssen: Honoraria. Bergsagel: Genetech: Consultancy, Honoraria; Oncopeptides: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Patents & Royalties: human CRBN mouse; GSK: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Yong: BMS: Research Funding; Autolus: Research Funding; Takeda: Honoraria; Janssen: Honoraria, Research Funding; Sanofi: Honoraria, Research Funding; GSK: Honoraria; Amgen: Honoraria. Morgan: BMS: Membership on an entity's Board of Directors or advisory committees; Jansen: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees. Getz: IBM, Pharmacyclics: Research Funding; Scorpion Therapeutics: Consultancy, Current holder of individual stocks in a privately-held company, Membership on an entity's Board of Directors or advisory committees. Ghobrial: AbbVie, Adaptive, Aptitude Health, BMS, Cellectar, Curio Science, Genetch, Janssen, Janssen Central American and Caribbean, Karyopharm, Medscape, Oncopeptides, Sanofi, Takeda, The Binding Site, GNS, GSK: Consultancy.
Abstract LB217: ROBO1 promotes homing, dissemination, and survival of multiple myeloma within the bone marrow microenvironment
Czarnecki, Peter G. , Samur, Anıl Aktaş , Cheng, Tianzeng, Wen, Kenneth , Wu, Xinchen, Camci‐Unal, Gulden , Carrasco, Ruben D. , Bianchi, Giada , Ho, Matthew , Roccaro, Aldo M. , Sacco, Antonio , Kawano, Yawara , Gullà, Annamaria , Tai, Yu‐Tzu , Moscvin, Maria , Vià, Matteo Da , Bolli, Niccolò , Ghobrial, Irene M. , Anderson, Kenneth C.

Cancer Research | July 1, 2021 | Volume: 81 | Issue: 13_Supplement | Pages: LB217-LB217

10.1158/1538-7445.am2021-lb217 Get It

Abstract Introduction: The bone marrow (BM) niche promotes multiple myeloma (MM) growth, survival and drug resistance. Therapies targeting both cancer cells and the microenvironment are highly effective. We were interested in identifying novel signaling pathways supporting MM pathogenesis through MM-BM crosstalk. The transmembrane receptor Roundabout 1 (ROBO1) plays a role in growth and dissemination of solid tumors, however its function in MM is unknown. Material and Methods: We analyzed ROBO1 expression in cell lines and primary samples via western blot, immunohistochemistry (IHC) and gene expression profiling. We used short hairpin RNA and CRISPR-Cas9 for ROBO1 knock down (KD) and knock out (KO), respectively. For protein structure-function and rescue studies, we stably expressed full-length (FL) or mutant ROBO1 devoid of extracellular (Cyt) or intracellular domain (DeltaCyt), including patient-derived G674* truncation, with a C-terminus FLAG tag. We used a 3D hydrogel encapsulation system to study proliferation; FLAG immunoprecipitation (IP) followed by mass spectrometry to identify ROBO1 interacting partners; and immunofluorescence to detect ROBO1 localization. To study tumor growth in vivo, we performed PET-CT of mice inoculated subcutaneously or intramedullary with WT or ROBO1 KO MM cells and retrieved tumors for RNA sequencing. To study dissemination and homing, KO and FL addback MM cells were injected intravenously in SCID mice. Mice were monitored for development of tumors or hindlimb paralysis and femora/tumors harvested once mice reached endpoint. Results: ROBO1 is highly expressed in MM cell lines and primary cells but low/absent in normal plasma cells and other hematologic cancer cell lines. ROBO1 KD is specifically cytotoxic for MM cells and ROBO1 KO decreases proliferation, a phenotype fully rescued by FL ROBO1. Compared to WT, ROBO1 KO significantly decreases intramedullary (mean tumor volume (MTV): 1323 vs 457 mm3, p value= 0.02) and extramedullary (MTV: 2684 vs 823 mm3, p value= 0.001) tumor growth in vivo. We further discovered that ROBO1 KO decreases adhesion of MM to BM endothelial and BMSC, which is fully rescued by FL ROBO1. In a disseminated mouse model, ROBO1 KO cells generate bone plasmacytoma with reduced BM invasion, as compared to the extensive BM infiltration observed with ROBO1 FL cells. Consistently, in primary samples from patients, we detected ROBO1 expression only in 1 out of 10 solitary plasmacytoma (dim staining) as compared to 14 out of 14 MM bone marrow biopsy samples tested (11 strong, 3 dim, p value= 0.0001). Mechanistically, we show for the first time that ROBO1 C-terminus is cleaved in a ligand-independent fashion; translocates to the nucleus; and is necessary and sufficient to rescue ROBO1 KO proliferative defect. Viceversa, mutants lacking the cytoplasmic domain, including the G674* truncation, act dominantly negative. Interactomic and RNA sequencing studies point to a previously unknown function of ROBO1 in RNA processing, setting the bases for future studies. Conclusions: We show for the first time that ROBO1 is necessary for MM growth and homing to the BM. Cleaved ROBO1 cytosolic domain translocates to the nucleus and is necessary and sufficient to rescue ROBO1 KO proliferative defect, possibly by participating in RNA processing. These data suggest that ROBO1 C-terminus may be a novel molecular target in MM. Citation Format: Giada Bianchi, Peter G. Czarnecki, Matthew Ho, Aldo M. Roccaro, Antonio Sacco, Yawara Kawano, Annamaria Gulla, Anil Aktas Samur, Tianzeng Cheng, Kenneth Wen, Yu-Tzu Tai, Maria Moscvin, Xinchen Wu, Gulden Camci-Unal, Matteo Claudio Da VIa, Niccolo Bolli, Ruben D. Carrasco, Irene M. Ghobrial, Kenneth C. Anderson. ROBO1 promotes homing, dissemination, and survival of multiple myeloma within the bone marrow microenvironment [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr LB217.
ROBO1 Promotes Homing, Dissemination, and Survival of Multiple Myeloma within the Bone Marrow Microenvironment
Bianchi, Giada , Czarnecki, Peter G. , Ho, Matthew , Roccaro, Aldo M. , Sacco, Antonio , Kawano, Yawara , Gullà, Annamaria , Samur, Anıl Aktaş , Chen, Tianzeng , Wen, Kenneth , Moscvin, Maria , Wu, Xinchen, Camci‐Unal, Gulden , Vià, Matteo Da , Bolli, Niccolò , Sewastianik, Tomasz , Carrasco, Ruben D. , Ghobrial, Irene M. , Tai, Yu‐Tzu , Da Vià, Matteo C , Bolli, Niccolo' , Sewastianik, Tomasz , Roccaro, Aldo M , Bianchi, Giada , Ghobrial, Irene M , Gulla, Annamaria , Ho, Matthew , Anderson, Kenneth C.

Blood Cancer Discovery | April 10, 2021 | Volume: 2 | Issue: 4 | Pages: 338-353

10.1158/2643-3230.bcd-20-0164 Get It

Abstract The bone marrow (BM) microenvironment actively promotes multiple myeloma pathogenesis, and therapies targeting both cancer cells and the niche are highly effective. We were interested in identifying novel signaling pathways supporting multiple myeloma–BM cross-talk. Mutations in the transmembrane receptor Roundabout 1 (ROBO1) were recently identified in patients with multiple myeloma; however, their functional consequences are uncertain. Through protein structure–function studies, we discovered that ROBO1 is necessary for multiple myeloma adhesion to BM stromal and endothelial cells and that ROBO1 knockout (KO) compromises BM homing and engraftment in a disseminated mouse model. ROBO1 KO significantly decreases multiple myeloma proliferation in vitro and intra- and extramedullary tumor growth in vivo. Mechanistically, the ROBO1 C-terminus is cleaved in a ligand-independent fashion and is sufficient to promote multiple myeloma proliferation. Vice versa, mutants lacking the cytoplasmic domain, including the human-derived G674* truncation, act dominantly negative. Interactomic and RNA-sequencing studies suggest that ROBO1 may be involved in RNA processing, supporting further studies. Significance: ROBO1 is highly expressed in t(4;14) multiple myeloma and supports homing and dissemination to the BM niche. ROBO1 knockout causes reduced tumor growth in intramedullary and extramedullary myeloma animal models, while the ROBO1 C-terminus is cleaved in multiple fragments and it is necessary and sufficient to sustain myeloma proliferation.
Genomic Profiling of Smoldering Multiple Myeloma Identifies Patients at a High Risk of Disease Progression
Bustoros, Mark , Sklavenitis‐Pistofidis, Romanos , Park, Jihye , Zhitomirsky, Benny , Salem, Karma Z. , Chavda, Selina J , Boehner, Cody J. , Elagina, Liudmila, Neuse, Carl Jannes , Cha, Justin , Rahmat, Mahshid , Kumar, Shaji , Kastritis, Efstathis, Laubach, Jacob P. , Casneuf, Tineke, Richardson, Paul G. , Munshi, Nikhil C. , Trippa, Lorenzo , Bergsagel, P. Leif , Manier, Salomon , Ghobrial, Irene M. , Bergsagel, P. Leif , Ghobrial, Irene M , Sklavenitis-Pistofidis, Romanos , Redd, Robert , Dunford, Andrew , Tai, Yu‐Tzu , Anand, Shankara K. , Mouhieddine, Tarek H. , Taylor-Weiner, Amaro N , Van Allen, Eliezer M , Leshchiner, Ignaty , Morgan, Elizabeth A. , Richardson, Paul Gerard Guy , Anderson, Kenneth C. , Aguet, François , Stewart, Chip , Dimopoulos, Meletios Α. , Yong, Kwee , Getz, Gad

Journal of Clinical Oncology | May 22, 2020 | Volume: 38 | Issue: 21 | Pages: 2380-2389

10.1200/jco.20.00437 Get It

PURPOSE Smoldering multiple myeloma (SMM) is a precursor condition of multiple myeloma (MM) with a 10% annual risk of progression. Various prognostic models exist for risk stratification; however, those are based on solely clinical metrics. The discovery of genomic alterations that underlie disease progression to MM could improve current risk models. METHODS We used next-generation sequencing to study 214 patients with SMM. We performed whole-exome sequencing on 166 tumors, including 5 with serial samples, and deep targeted sequencing on 48 tumors. RESULTS We observed that most of the genetic alterations necessary for progression have already been acquired by the diagnosis of SMM. Particularly, we found that alterations of the mitogen-activated protein kinase pathway ( KRAS and NRAS single nucleotide variants [SNVs]), the DNA repair pathway (deletion 17p, TP53, and ATM SNVs), and MYC (translocations or copy number variations) were all independent risk factors of progression after accounting for clinical risk staging. We validated these findings in an external SMM cohort by showing that patients who have any of these three features have a higher risk of progressing to MM. Moreover, APOBEC associated mutations were enriched in patients who progressed and were associated with a shorter time to progression in our cohort. CONCLUSION SMM is a genetically mature entity whereby most driver genetic alterations have already occurred, which suggests the existence of a right-skewed model of genetic evolution from monoclonal gammopathy of undetermined significance to MM. We identified and externally validated genomic predictors of progression that could distinguish patients at high risk of progression to MM and, thus, improve on the precision of current clinical models.
The In Vivo Activity of Neutralizing B Cell-Activating Factor (BAFF) Antibody in the Treatment of Multiple Myeloma (MM).
Kumar, Shaji , Fulciniti, Mariateresa , Chhetri, Shweta, Chauhan, Dharminder , Hideshima, Teru , Venuta, Salvatore, Munshi, Nikhil C. , Neri, Paola , Vallet, Sonia , Yasui, Hiroshi , Tai, Yu‐Tzu , Tassone, Pierfrancesco , Anderson, Kenneth C. , Raje, Noopur

Blood | April 19, 2020 | Volume: 108 | Issue: 11 | Pages: 843-843

10.1182/blood.v108.11.843.843 Get It

Abstract BAFF is a member of the tumor necrosis factor (TNF) family and plays a role in B cell survival including MM cells. We have previously established a role for BAFF in localization and survival of MM cells in the bone marrow (BM) microenvironment. (Cancer Res2006; 66(13): 6675–82). Here we validate the role of BAFF in MM patients and demonstrate the in vivo activity of anti-BAFF antibody in a SCID-hu MM model. We first performed gene expression profiling (GEP) on CD 138+ plasma cells isolated from 90 MM patients and 11 healthy controls using the Affymetrix U133A arrays. GEP analysis demonstrated increased BCMA expression (p<0.0001, student T test) on newly diagnosed and relapsed MM versus normal plasma cells. Flow cytometry performed on MM patient cells demonstrated the presence of all 3 receptors on CD 138+ cells. ELISA assays confirmed increased plasma BAFF levels in 51 MM plasma (mean: 1049 pg/ml; range: 176–4252 pg/ml) compared to 11 normal donors (mean: 461pg/ml; range: 317–652pg/ml) [p<0.001]. To understand the functional significance that BAFF might play in the biology of MM, we studied the effects of recombinant BAFF (rh-BAFF) on MM cells directly and in the context of its BM microenvironment. Our data demonstrate that rh-BAFF confers a survival advantage to MM cells and protects them against dexamethasone-induced cytotoxicity. Importantly, anti-apoptotic proteins Bcl2 and XIAP were upregulated, as were growth and survival signals belonging to the AKT and MAPKinase pathways. Because of the survival advantage conferred by BAFF on MM cells we evaluated the use of a clinical grade-neutralizing antibody to BAFF. To evaluate the in vivo activity of anti-Baff in MM we used the SCID-hu model, where MM cells grow in the context of human BM microenvironment. A cohort of SCID-hu mice bearing INA-6 MM cells, were treated i.p. weekly with anti-BAFF neutralizing antibody (10 mg/kg, n=3) or control isotype (10 mg/kg, n=3), respectively, for four weeks. Serum levels of soluble human IL-6 receptor (shuIL-6R) released by MM cells into the murine serum were monitored as a measure of MM growth. At the end of treatment we observed a significant (p=0.048) reduction in shuIL-6R level. This translated into a survival advantage of 3.1 weeks in the anti-BAFF treated animals versus the control group (p= 0.02). We also evaluated in vivo effects of anti-BAFF on the bone compartment by radiographic analysis and tartrate-resistant acid phosphatase (TRAP) staining of human bone implants. Our results demonstrate a decrease in radiologically evident lytic lesions in the anti-BAFF treated animals. This was accompanied by a significant decrease in TRAP + osteoclasts in bone sections from treated mice when compared to control mice. Our data therefore suggests that anti-BAFF antibody may impact MM cell growth directly and/or via effects on the BM microenvironment by impacting bone resorption. Taken together, these data show a role for BAFF mediating MM cell survival and its in vivo anti-tumor activities provide a preclinical rational for its clinical evaluation in MM.
The Role of B Cell-Activating Factor (BAFF) in the Biology of Multiple Myeloma (MM).
Kumar, Shaji , Hideshima, Teru , Ishitsuka, Kenji , Shiraishi, Norihiko, Kizeltepe, Tanyel, Chhetri, Shweta, Schlossman, Robert, Richardson, Paul G. , Munshi, Nikhil C. , Raje, Noopur , Yasui, Hiroshi , Tai, Yu‐Tzu , Shiraishi, Norihiko, Vallet, Sonia , Richardson, Paul Gerard Guy , Anderson, Kenneth C.

Blood | April 19, 2020 | Volume: 106 | Issue: 11 | Pages: 3380-3380

10.1182/blood.v106.11.3380.3380 Get It

Abstract BAFF is a member of the tumor necrosis factor (TNF) family and is critical for the maintenance and homeostasis of normal B-cell development. Importantly, BAFF promotes the generation of rapidly dividing immunoglobulin secreting plasmablasts from activated memory B cells by enhancing their survival. Given that MM is a cancer of plasma cells and that the signaling cascades implicated in receptor ligand interactions of BAFF are crucial in MM cell biology, we hypothesized that this cytokine may play a critical role in MM cell development, survival, and proliferation. We performed gene expression profiling (GEP) on CD 138+ plasma cells isolated from 90 MM patients (45 newly diagnosed and 45 relapsed) and 11 healthy controls using the Affymetrix U133A arrays. Our data demonstrates increased expression of transmembrane activator and calcium modulator and cyclophilin ligand interactor (TACI) and B-cell maturation antigen (BCMA), 2 receptors used by BAFF to exert its effects. Our data also shows an increased expression of a proliferation-inducing ligand (APRIL), another member of the TNF family with homology to BAFF. Expression levels of BAFF and BAFF-R could not be determined because of lack of these probe sets on the Affymetrix U133A arrays. GEP analysis shows increased BCMA expression (p<0.0001, student T test) on newly diagnosed and relapsed MM versus normal plasma cells. Flow cytometry on MM cell lines demonstrated a differential expression of the three receptors of BAFF, with BCMA present on most cell lines but BAFF-R expressed at low levels only on LR5 cells and DOX40 MM cells. In contrast, flow cytometry performed on MM patient cells demonstrated the presence of all 3 receptors on CD 138+ cells. ELISA assays performed on 30 MM sera demonstrated a mean BAFF level of 618 pg/ml (range: 128–2126pg/ml) versus 235pg/ml (range: 158–326pg/ml) in 7 normal donor sera. Fifty six% (17/30) of MM patients had BAFF levels in excess of the highest value noted in normals. To understand the role BAFF might play in the biology of MM, we studied the effects of recombinant BAFF (rh-BAFF) on MM cells directly and in the context of its bone marrow microenvironment. (abstract # 554746) rh-BAFF conferred a survival advantage to MM cells and protected them against dexamethasone-induced cytotoxicity. Importantly, anti-apoptotic proteins Bcl2 and Mcl-1 were upregulated, as were growth and survival signals belonging to the JAK/STAT and MAPKinase pathways. Conversely, neutralizing antibody to BAFF blocked, at least in part, blocked the upregulation of anti-apoptotic proteins with associated growth and survival, confirming that these effects were due to BAFF. Importantly, all of these signals were downregulated even in the presence of bone marrow stromal cells (BMSCs). These data therefore show a role for BAFF mediating MM cell survival and provide the framework for inhibiting BAFF, either alone or in combination with dexamethasone, to improve patient outcome in MM.
The sumoylation pathway is dysregulated in multiple myeloma and is associated with adverse patient outcome
Driscoll, James J. , Pelluru, Dheeraj, Lefkimmiatis, Konstantinos , Fulciniti, Mariateresa , Prabhala, Rao , Greipp, Philip R., Barlogie, Bart , Shaughnessy, John D. , Munshi, Nikhil C. , Tai, Yu‐Tzu , Anderson, Kenneth C. , Annunziata, Christina M.

Blood | November 30, 2009 | Volume: 115 | Issue: 14 | Pages: 2827-2834

10.1182/blood-2009-03-211045 Get It

Abstract Multiple myeloma (MM) is a plasma cell neoplasm that proceeds through a premalignant state of monoclonal gammopathy of unknown significance; however, the molecular events responsible for myelomagenesis remain uncharacterized. To identify cellular pathways deregulated in MM, we addressed that sumoylation is homologous to ubiquitination and results in the attachment of the ubiquitin-like protein Sumo onto target proteins. Sumoylation was markedly enhanced in MM patient lysates compared with normal plasma cells and expression profiling indicated a relative induction of sumoylation pathway genes. The Sumo-conjugating enzyme Ube2I, the Sumo-ligase PIAS1, and the Sumo-inducer ARF were elevated in MM patient samples and cell lines. Survival correlated with expression because 80% of patients with low UBE2I and PIAS1 were living 6 years after transplantation, whereas only 45% of patients with high expression survived 6 years. UBE2I encodes the sole Sumo-conjugating enzyme in mammalian cells and cells transfected with a dominant-negative sumoylation-deficient UBE2I mutant exhibited decreased survival after radiation exposure, impaired adhesion to bone marrow stroma cell and decreased bone marrow stroma cell–induced proliferation. UBE2I confers cells with multiple advantages to promote tumorigenesis and predicts decreased survival when combined with PIAS1. The sumoylation pathway is a novel therapeutic target with implications for existing proteasomal-based treatment strategies.
The small-molecule VEGF receptor inhibitor pazopanib (GW786034B) targets both tumor and endothelial cells in multiple myeloma
Podar, Klaus , Tonon, Giovanni , Sattler, Martin , Gouill, Steven Le , Yasui, Hiroshi , Ishitsuka, Kenji , Kumar, Shaji , Pandite, Lini , Hideshima, Teru , Chauhan, Dharminder , Tai, Yu‐Tzu , Kumar, Rakesh , Anderson, Kenneth C.

Proceedings of the National Academy of Sciences | December 12, 2006 | Volume: 103 | Issue: 51 | Pages: 19478-19483

10.1073/pnas.0609329103 Get It

A critical role for vascular endothelial factor (VEGF) has been demonstrated in multiple myeloma (MM) pathogenesis. Here, we characterized the effect of the small-molecule VEGF receptor inhibitor pazopanib on MM cells in the bone marrow milieu. Pazopanib inhibits VEGF-triggered signaling pathways in both tumor and endothelial cells, thereby blocking in vitro MM cell growth, survival, and migration, and inhibits VEGF-induced up-regulation of adhesion molecules on both endothelial and tumor cells, thereby abrogating endothelial cell-MM cell binding and associated cell proliferation. We show that pazopanib is the first-in-class VEGF receptor inhibitor to inhibit in vivo tumor cell growth associated with increased MM cell apoptosis, decreased angiogenesis, and prolonged survival in a mouse xenograft model of human MM. Low-dose pazopanib demonstrates synergistic cytotoxicity with conventional (melphalan) and novel (bortezomib and immunomodulatory drugs) therapies. Finally, gene expression and signaling network analysis show transcriptional changes of several cancer-related genes, in particular c-Myc. Using siRNA, we confirm the role of c-Myc in VEGF production and secretion, as well as angiogenesis. These preclinical studies provide the rationale for clinical evaluation of pazopanib, alone and in combination with conventional and novel therapies, to increase efficacy, overcome drug resistance, reduce toxicity, and improve patient outcome in MM.