Try a new search

Format these results:

Searched for:

in-biosketch:true

person:morgag04

Total Results:

675


The presence of large focal lesions is a strong independent prognostic factor in multiple myeloma

Rasche, Leo; Angtuaco, Edgardo J; Alpe, Terri L; Gershner, Grant H; McDonald, James E; Samant, Rohan S; Kumar, Manoj; Van Hemert, Rudy; Epstein, Joshua; Deshpande, Shayu; Tytarenko, Ruslana; Yaccoby, Shmuel; Hillengass, Jens; Thanendrarajan, Sharmilan; Schinke, Carolina; van Rhee, Frits; Zangari, Maurizio; Walker, Brian A; Barlogie, Bart; Morgan, Gareth J; Davies, Faith E; Weinhold, Niels
Spatial intratumor heterogeneity is frequently seen in multiple myeloma (MM) and poses a significant challenge for risk classifiers, which rely on tumor samples from the iliac crest. Because biopsy-based assessment of multiple skeletal sites is difficult, alternative strategies for risk stratification are required. Recently, the size of focal lesions (FLs) was shown to be a surrogate marker for spatial heterogeneity, suggesting that data from medical imaging could be used to improve risk stratification approaches. Here, we investigated the prognostic value of FL size in 404 transplant-eligible, newly diagnosed MM patients. Using diffusion-weighted magnetic resonance imaging with background suppression, we identified the presence of multiple large FLs as a strong prognostic factor. Patients with at least 3 large FLs with a product of the perpendicular diameters >5 cm2 were associated with poor progression-free survival (PFS) and overall survival (OS; median, 2.3 and 3.6 years, respectively). This pattern, seen in 13.8% of patients, was independent of the Revised International Staging System (RISS), gene expression profiling (GEP)-based risk score, gain(1q), or extramedullary disease (hazard ratio, 2.7 and 2.2 for PFS and OS in multivariate analysis, respectively). The number of FLs lost its negative impact on outcome after adjusting for FL size. In conclusion, the presence of at least 3 large FL is a feature of high risk, which can be used to refine the diagnosis of this type of disease behavior and as an entry criterion for risk-stratified trials.
PMCID:6034645
PMID: 29784643
ISSN: 1528-0020
CID: 3649272

Identification of novel mutational drivers reveals oncogene dependencies in multiple myeloma

Walker, Brian A; Mavrommatis, Konstantinos; Wardell, Christopher P; Ashby, T Cody; Bauer, Michael; Davies, Faith E; Rosenthal, Adam; Wang, Hongwei; Qu, Pingping; Hoering, Antje; Samur, Mehmet; Towfic, Fadi; Ortiz, Maria; Flynt, Erin; Yu, Zhinuan; Yang, Zhihong; Rozelle, Dan; Obenauer, John; Trotter, Matthew; Auclair, Daniel; Keats, Jonathan; Bolli, Niccolo; Fulciniti, Mariateresa; Szalat, Raphael; Moreau, Philippe; Durie, Brian; Stewart, A Keith; Goldschmidt, Hartmut; Raab, Marc S; Einsele, Hermann; Sonneveld, Pieter; San Miguel, Jesus; Lonial, Sagar; Jackson, Graham H; Anderson, Kenneth C; Avet-Loiseau, Herve; Munshi, Nikhil; Thakurta, Anjan; Morgan, Gareth J
Understanding the profile of oncogene and tumor suppressor gene mutations with their interactions and impact on the prognosis of multiple myeloma (MM) can improve the definition of disease subsets and identify pathways important in disease pathobiology. Using integrated genomics of 1273 newly diagnosed patients with MM, we identified 63 driver genes, some of which are novel, including IDH1, IDH2, HUWE1, KLHL6, and PTPN11 Oncogene mutations are significantly more clonal than tumor suppressor mutations, indicating they may exert a bigger selective pressure. Patients with more driver gene abnormalities are associated with worse outcomes, as are identified mechanisms of genomic instability. Oncogenic dependencies were identified between mutations in driver genes, common regions of copy number change, and primary translocation and hyperdiploidy events. These dependencies included associations with t(4;14) and mutations in FGFR3, DIS3, and PRKD2; t(11;14) with mutations in CCND1 and IRF4; t(14;16) with mutations in MAF, BRAF, DIS3, and ATM; and hyperdiploidy with gain 11q, mutations in FAM46C, and MYC rearrangements. These associations indicate that the genomic landscape of myeloma is predetermined by the primary events upon which further dependencies are built, giving rise to a nonrandom accumulation of genetic hits. Understanding these dependencies may elucidate potential evolutionary patterns and lead to better treatment regimens.
PMID: 29884741
ISSN: 1528-0020
CID: 3649282

Maintaining therapeutic progress in multiple myeloma by integrating genetic and biological advances into the clinic

Morgan, Gareth J; Rasche, Leo
INTRODUCTION:Utilizing advances in genetic and immunologic analysis to segment and direct treatment is potentially a way of maintaining therapeutic progress toward cure in multiple myeloma (MM). This approach works well using clinical segments but can be optimized using recent genetic and immunologic technologies, which have opened the possibility of enhancing risk stratification and disease subclassification. Areas covered: This position paper discusses strategies to segment myeloma into subgroups with distinct risk profiles and distinct targetable lesions are presented. Expert commentary: Risk stratified treatment of MM is already a clinical reality that can be enhanced by the developmental of unified segmentation and testing approaches. Mutation-targeted treatment has proven to be effective against the RAS pathway, but is compromised by intra-clonal and spatiotemporal heterogeneity. Identifying new disease segments based on tumor biology or immunological content of the microenvironment offers an exciting new way to control and even eradicate myeloma clones. Going forward, risk and biologically stratified therapy for myeloma is a promising way of maintaining therapeutic progress, as is precision immunotherapy directed by the cellular context of the bone marrow.
PMID: 29944024
ISSN: 1747-4094
CID: 3649292

Epidemiology and Pathophysiology of Multiple Myeloma

Chapter by: Hultcrantz, Malin; Morgan, Gareth J.; Landgren, Ola
in: MULTIPLE MYELOMA AND OTHER PLASMA CELL NEOPLASMS by ; Dimopoulos, MA; Facon, T; Terpos, E
NEW YORK : SPRINGER, 2018
pp. 1-15
ISBN: 978-3-319-25584-2
CID: 3647192

MAFb protein confers intrinsic resistance to proteasome inhibitors in multiple myeloma

Qiang, Ya-Wei; Ye, Shiqiao; Huang, Yuhua; Chen, Yu; Van Rhee, Frits; Epstein, Joshua; Walker, Brian A; Morgan, Gareth J; Davies, Faith E
BACKGROUND:Multiple myeloma (MM) patients with t(14;20) have a poor prognosis and their outcome has not improved following the introduction of bortezomib (Bzb). The mechanism underlying the resistance to proteasome inhibitors (PIs) for this subset of patients is unknown. METHODS:IC50 of Bzb and carfilzomib (CFZ) in human myeloma cell lines (HMCLs) were established by MTT assay. Gene Expression profile (GEP) analysis was used to determine gene expression in primary myeloma cells. Immunoblotting analysis was performed for MAFb and caspase family proteins. Immunofluorescence staining was used to detect the location of MAFb protein in MM cells. Lentiviral infections were used to knock-down MAFb expression in two lines. Apoptosis detection by flow cytometry and western blot analysis was performed to determine the molecular mechanism MAFb confers resistance to proteasome inhibitors. RESULTS:We found high levels of MAFb protein in cell lines with t(14;20), in one line with t(6;20), in one with Igλ insertion into MAFb locus, and in primary plasma cells from MM patients with t(14;20). High MAFb protein levels correlated with higher IC50s of PIs in MM cells. Inhibition of GSK3β activity or treatment with Bzb or CFZ prevented MAFb protein degradation without affecting the corresponding mRNA level indicating a role for GSK3 and proteasome inhibitors in regulation of MAFb stability. Silencing MAFb restored sensitivity to Bzb and CFZ, and enhanced PIs-induced apoptosis and activation of caspase-3, - 8, - 9, PARP and lamin A/C suggesting that high expression of MAFb protein leads to insensitivity to proteasome inhibitors. CONCLUSION/CONCLUSIONS:These results highlight the role of post-translational modification of MAFb in maintaining its protein level, and identify a mechanism by which proteasome inhibitors induced stabilization of MAFb confers resistance to proteasome inhibitors, and provide a rationale for the development of targeted therapeutic strategies for this subset of patients.
PMCID:6035431
PMID: 29980194
ISSN: 1471-2407
CID: 3649312

Quality of life during and following sequential treatment of previously untreated patients with multiple myeloma: findings of the Medical Research Council Myeloma IX randomised study

Royle, Kara-Louise; Gregory, Walter M; Cairns, David A; Bell, Sue E; Cook, Gordon; Owen, Roger G; Drayson, Mark T; Davies, Faith E; Jackson, Graham H; Morgan, Gareth J; Child, J Anthony
In the Medical Research Council (MRC) Myeloma IX trial (ISRCTN684564111) patients were randomised to sodium clodronate or zoledronic acid and induction treatment: cyclophosphamide, vincristine, doxorubicin and dexamethasone (CVAD) or cyclophosphamide, thalidomide and dexamethasone (CTD) followed by autologous stem cell transplant (ASCT) in the intensive pathway; attenuated CTD or melphalan and prednisolone (MP) in the non-intensive pathway. Subsequent randomisation allocated patients to either thalidomide or observation. The European Organisation for Research and Treatment of Cancer (EORTC) quality of life (QoL) questionnaires, QLQ-C30 and QLQ-MY24, were administered at baseline, 3, 6 and 12 months and annually thereafter, enabling the effect of sequential treatment on patient-reported health-related QoL (HR-QoL) to be investigated. The protocol specified four subscales of interest: Pain, Fatigue, Global Health Status/Quality of Life and Physical Functioning at 3, 6 and 12 months that were compared using linear models. The intensive pathway showed significant differences in favour of CTD for Fatigue at 3 months and Physical Functioning at 12 months. The non-intensive pathway and maintenance phase reported significant differences at 3 months; Pain (improved with attenuated CTD) and Global Health status/Quality of Life (improved with observation). The improved outcomes in MRC Myeloma IX were accompanied by some beneficial and few detrimental effects on HR-QoL.
PMCID:6175065
PMID: 29984830
ISSN: 1365-2141
CID: 3649322

Maintenance Treatment and Survival in Patients With Myeloma: A Systematic Review and Network Meta-analysis

Gay, Francesca; Jackson, Graham; Rosiñol, Laura; Holstein, Sarah A; Moreau, Philippe; Spada, Stefano; Davies, Faith; Lahuerta, Juan José; Leleu, Xavier; Bringhen, Sara; Evangelista, Andrea; Hulin, Cyrille; Panzani, Ugo; Cairns, David A; Di Raimondo, Francesco; Macro, Margaret; Liberati, Anna Marina; Pawlyn, Charlotte; Offidani, Massimo; Spencer, Andrew; Hájek, Roman; Terpos, Evangelos; Morgan, Gareth J; Bladé, Joan; Sonneveld, Pieter; San-Miguel, Jesús; McCarthy, Philip L; Ludwig, Heinz; Boccadoro, Mario; Mateos, Maria-Victoria; Attal, Michel
Importance/UNASSIGNED:Several trials demonstrated the impact of novel agent-based maintenance in newly diagnosed multiple myeloma (NDMM), but there is no current evidence demonstrating the superiority of one regimen over the other, owing to the lack of direct/indirect comparisons. Objective/UNASSIGNED:To analyze and compare the effectiveness of different maintenance regimens in NDMM via a network meta-analysis. Data Sources/UNASSIGNED:We performed 2 independent searches in PubMed and Cochrane databases, and then we identified all the records registered after 1999 and on or before November 20, 2017. Study Selection/UNASSIGNED:By blinded review, we identified prospective phase 3 randomized trials evaluating novel agent-based maintenance in patients with NDMM; the included studies compared at least 2 maintenance approaches; comparators included placebo and no maintenance. From 364 screened records, 11 studies were included. Data Extraction and Synthesis/UNASSIGNED:We followed (independent extraction) the guidelines provided by the PRISMA Report and the EQUATOR Network. The evidence was synthesized using a network meta-analysis (NMA). To allow comparison of all treatments, no maintenance was selected as common comparator and the effect of placebo was assumed to be the same as no treatment. The best option was identified by a Bayesian consistency model based on hazard ratio (HR), 95% credible interval (CrI), probability of being the best treatment (PbBT), and median ranking distribution (MedR). Main Outcomes and Measures/UNASSIGNED:Outcomes of interest were progression-free survival (PFS) and overall survival (OS). Results/UNASSIGNED:Eleven trials and 8 treatments including a total of 5073 participants were included. By PFS analysis, lenalidomide-based regimens (lenalidomide-prednisone, lenalidomide alone) were identified as the most effective options (HR, 0.39 [95% CrI, 0.28-0.53] and 0.47 [95% CrI, 0.39-0.55], respectively; MedR, 1 and 2; overall PbBT, 74%). Four treatments (thalidomide-interferon, thalidomide-bortezomib, bortezomib-prednisone, thalidomide alone) showed an HR in favor of maintenance. By OS analysis, lenalidomide alone was identified as the best option (HR, 0.76; 95% CrI, 0.51-1.16; MedR, 2; PbBT, 38%), followed by bortezomib-thalidomide and bortezomib-prednisone. Similar features were noticed in the restricted network including transplant trials, in the sensitivity analysis, and in most of the prognostic subgroups. Conclusions and Relevance/UNASSIGNED:Based on PFS and OS results of this NMA, lenalidomide maintenance appears to be the best treatment option, by synthesizing the available evidence of novel agent-based maintenance in the past 20 years.
PMCID:6233774
PMID: 30098165
ISSN: 2374-2445
CID: 3649352

Optimal Three-Group Splits Based on a Survival Outcome

Chapter by: Crowley, John; Mitchell, Alan; Qu, Pingping; Morgan, Gareth; Barlogie, Bart
in: Frontiers of biostatistical methods and applications in clinical oncology by Matsui, Shigeyuki; Crowley, John (Eds)
Singapore : Springer, [2017]
pp. 231-242
ISBN: 9789811001260
CID: 3708782

Cure-Rate Survival Models and Their Application to Cancer Clinical Trials

Chapter by: Othus, Megan; Mitchell, Alan; Barlogie, Bart; Morgan, Gareth; Crowley, John
in: Frontiers of biostatistical methods and applications in clinical oncology by Matsui, Shigeyuki; Crowley, John (Eds)
Singapore : Springer, [2017]
pp. 165-178
ISBN: 9789811001260
CID: 3708772

An Evaluation of Gene Set Analysis for Biomarker Discovery with Applications to Myeloma Research

Chapter by: Qu, Pingping; Tian, Erming; Barlogie, Bart; Morgan, Gareth; Crowley, John
in: Frontiers of biostatistical methods and applications in clinical oncology by Matsui, Shigeyuki; Crowley, John (Eds)
Singapore : Springer, [2017]
pp. 413-434
ISBN: 9789811001260
CID: 3708792