1 / 32

High-risk M yeloma : What do we Know , Where are we Going ? A lot!!! But drifting!!!

High-risk M yeloma : What do we Know , Where are we Going ? A lot!!! But drifting!!!. Bart Barlogie MIRT, UAMS Little Rock, AR, USA. High-risk MM: the Spectrum. Metaphase cytogenetic abnormalities (M-CA) FISH or F-CA High LDH – often signifying extra-medullary disease (EMD)

Download Presentation

High-risk M yeloma : What do we Know , Where are we Going ? A lot!!! But drifting!!!

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. High-risk Myeloma: What do we Know, Where are we Going?A lot!!!But drifting!!! Bart Barlogie MIRT, UAMS Little Rock, AR, USA

  2. High-risk MM: the Spectrum • Metaphase cytogenetic abnormalities (M-CA) • FISH or F-CA • High LDH – often signifying extra-medullary disease (EMD) • EMD, plasma cell leukemia (PCL) • PET-defined focal lesions (FL) and metabolic activity (SUVmax) • GEP • UAMS: 70, 80, 5, 2 gene models • HOVON et al

  3. Newly Diagnosed High-risk Myeloma (Malignant Multiple Myeloma, MMM) Major advances in low-risk MM with added thalidomide in TT2 and bortezomib in TT3 No progress in MMM with TT3 over TT2 Started GEP risk-adapted protocols in 2008 TT4 for low-risk and TT5 for high-risk MM Present comparison for GEP70-defined high-risk MM between TT3 and TT5

  4. TT5: Treatment Schema • Induction • Mel10-VTD-PACE and HPC collection • Transplant 1 • Mel80-VRD-PACE • Inter-transplant 1 and 2 • Mel20-VTD-PACE • Transplant 2 • Mel80-VRD-PACE • Maintenance for 3 years • VRD alternating with VMD • Later VRD only • Increased bortezomib to 1.5mg/m2 • Increased lenalidomide to 25mg/d x 21 q 28d

  5. TT5: Characteristics

  6. TT5: Progression on Protocol, Response Rates and Survival

  7. TT5: Survival Outcomes by Age, CA, LDH COD Age CA LDH

  8. TT5: Progression-free Survival by Risk Factors Age CA GEP70 Mol. subgroups

  9. TT5: Survival Outcomes by GEP70/5 Risk Scores GEP70 GEP70/5 GEP5

  10. TT5 v TT3 in GEP70 High-risk MM

  11. Comparison of Outcomes with TT5 versus TT3 Longer OS despite similar PFS in TT5 v TT3 related to better post-relapse therapies such as metronomics, CFZ, POM, PAC-MED+/-MEL

  12. Survival in Combined TT3/TT5 by GEP5

  13. Cox Regression Analysis for OS Data on time to MRD by 8-color FCM forthcoming

  14. TT Protocol Outcomes in GEP70 High Risk

  15. Post-relapse Survival According to Protocol

  16. Long Term Outcomes in TT2: The Cure Issue Earlier plateau in high-risk than low-risk MM

  17. Long Term Outcomes in TT3: The Cure Issue Earlier plateau in high-risk than low-risk MM

  18. GEP5-risk Identifies Further Subgroups within Both Low-risk and High-risk by GEP70 Low risk MM High risk MM TT4 TT5 Ultra-high risk MM New GEP5 risk score peals off additional subsets in both low and high risk MM

  19. GEP5-Based Model for TT3 What’s wrong with 90% survival at almost 10yr???

  20. Intra-tumor Heterogeneity • MRI-defined focal lesions (FL) and interstitial MM growth • Differences in GEP of both PC and stroma when comparing random bone marrow and FL samples • Genomic risk • Low-risk • Predominance of “benign” MM • Upon relapse • Moving up the risk scale as gleaned from serial genomic analyses • High-risk de novo • Predominance of “malignant” MM clone(s) • May regress to “benign” with novel agents

  21. High-risk MM: Final Pathway of Treatment Failure • Dividends of focus on high-risk MM • Superior treatment identifiable within 2-3yr • Testable therapeutic concepts • Avoid dose-intense therapies and minimize potentially MM gowth/survival-promoting cytokine storm during hematopoietic recovery • Metronomic therapy • Novel drug combinations that avoid ‘nadirs’ of myelosuppression • Identify actionable gene mutations (exomics) • Immunotherapy under investigation • Should then be useful in low-risk MM as well

  22. Trametinib in RAS-mutated High-risk MM Metronomic Rx Trametinib VTD-PACE GEP-70 high risk 21 days’ span 3 prior Tx Incl. MEL300

  23. Targeted Sequencing at MIRT Targeted re-sequencing using a panel of ~350 tumor associated genes in relapsed or relapsed/refractory patients for a molecularly guided choice of therapy

  24. Top 6 Actionable Mutations

  25. Ipilimumab, Pomalidomideand Trametinib 10/3/2013 10/18/2013 Light chains markedly down, massive increase in CD4 and CD8 counts

  26. Extra-medullary Disease (EMD):The Achilles Heel of MM • Readily detectable by PET-CT • Present de novo in 1% • Develops in virtually all patients after prolonged salvage therapies • Issue is prediction • Can an EMD PC-GEP signature of bone marrow be developed? • Is blood better source? • Can later EMD onset also be predicted? • Are all EMD equal? • Distinguishing anatomic sites (liver v lymph node v muscle)

  27. Survival According to EMD After Transplant

  28. EMD Development in TT by GEP70 Risk

  29. Baseline Variables Linked to EMDall GEP-derived No other variable survived multivariate model!

  30. Heat-map of Bone Marrow PC GEP EMD Cluster Identified – Red Bars

  31. How to Move Forward? • MIRT’s PACMED therapy for high-risk PET-positive MM • DDP, Ara-C, CTX, Mesna, Etoposide, Dex • Plus VTD or VRD • Day 3-4 F/U PET • Add MEL 50-100mg/m2 • HPC boost 24hr later • Alternate with metro Rx • The challenges • EMD often non-secretory and BM-MRD-negative • Need for frequent PET scanning • Individualize according to level of FDG suppression • Clonal heterogeneity among different EMD sites • Under investigation including exomics

  32. Thanks to • Patients and care givers • Referring MD’s • Colleagues and nurses • Data managers • CRAB statisticians • NIH • Philanthropy

More Related