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Martin, Thomas G.

0000-0002-1300-4890

Mayo Clinic

University of California, San Francisco

Citations 24

A phase Ib study of atezolizumab (atezo) alone or in combination with lenalidomide or pomalidomide and/or daratumumab in patients (pts) with multiple myeloma (MM).
Cole, Craig E. , Zonder, Jeffrey A. , Fay, Joseph W., Vij, Ravi , Byon, John CH, Stewart, A. Keith, Dhodapkar, Madhav V. , Cho, Hearn Jay , Martin, Thomas G. , Byon, John Chong Han

Journal of Clinical Oncology | September 6, 2018 | Volume: 35 | Issue: 15_suppl | Pages: TPS8053-TPS8053

10.1200/jco.2017.35.15_suppl.tps8053 Get It

TPS8053 Background: The advent of proteasome inhibitors and immunomodulatory drugs (IMiDs) have significantly improved outcomes in MM, and the first monoclonal antibodies for MM have been recently approved (daratumumab, elotuzumab). Despite novel therapies and improved disease management, MM is still considered incurable and most pts relapse, confirming the need for additional treatment options. MM cells express PD-L1, with higher levels observed after relapse and with advanced disease. Additionally, PD-L1–expressing immune cells in the microenvironment promote MM cell survival and potential immune escape. However, anti–PD-1 monotherapy did not result in objective responses in the MM cohort of a Ph I study, suggesting that MM pts need combination therapy. Daratumumab has activity as a single agent, as well as in combination with IMiDs plus dexamethasone and bortezomib plus dexamethasone in R/R MM. Immunomodulatory activity for daratumumab has also been reported. Thus, disruption of the PD-L1/PD-1 pathway may be additive or synergistic. The safety and efficacy of atezo (anti–PD-L1) alone or with lenalidomide or pomalidomide and/or daratumumab will be evaluated in a Ph Ib study of MM pts. NCT02431208. Methods: R/R MM pts with ≤ 3 prior therapies will be enrolled in Cohorts A (atezo), B (atezo + lenalidomide), D (atezo + daratumumab) and E (atezo + daratumumab + lenalidomide); MM pts with measurable disease after ASCT (Cohort C: atezo) or ≥ 3 prior therapies (Cohort F: atezo + daratumumab + pomalidomide) will also be enrolled. Cohorts B, D, E and F include a safety run-in (D) or dose escalation phase (B, E, F) and an expansion. Lenalidomide and pomalidomide will be dose escalated and the MTD evaluated in expansion phases. Atezo will be given at 1200 mg IV (A, B, C) or 840 mg IV (D, E, F); pts will get daratumumab at 16 mg/kg IV (D, E, F). All pts will be ECOG PS ≤ 2. Primary endpoints are ORR and the RP2D of lenalidomide and pomalidomide with atezo and daratumumab and the RP2D of lenalidomide with atezo. DOR and PFS are secondary endpoints; safety, PK and the relationship between biomarkers and other endpoints, including efficacy, will be assessed. Pts will be enrolled at 19 US sites. Clinical trial information: NCT02431208.
Phase III (IKEMA) study design: Isatuximab plus carfilzomib and dexamethasone (Kd) vs Kd in patients with relapsed/refractory multiple myeloma (RRMM).
Risse, Marie‐Laure , Asset, Gaëlle, Martin, Thomas G. , Dimopoulos, Meletios Α. , Yong, Kwee , Mıkhael, Joseph , Moreau, Philippe

Journal of Clinical Oncology | September 5, 2018 | Volume: 36 | Issue: 15_suppl | Pages: TPS8060-TPS8060

10.1200/jco.2018.36.15_suppl.tps8060 Get It

The p97 Inhibitor CB-5083 Is a Unique Disrupter of Protein Homeostasis in Models of Multiple Myeloma
Moigne, Ronan Le , Aftab, Blake T. , Djakovic, Stevan, Dhimolea, Eugen , Murnane, Megan, King, Emily M. , Soriano, Ferdie, Menon, Mary-Kamala, Wu, Zhi , Lee, Grace J. , Lam, Christine , Rice, Julie , Wang, Jinhai , Chesi, Marta , Bergsagel, P. Leif , Kraus, Marianne , Driessen, Christoph , Soly, Szerenke Kiss Von, Yakes, F. Michael, Wustrow, David J., Shawver, Laura K. , Zhou, Han-Jie , Wolf, Jeffrey L. , Mitsiades, Constantine S. , Rolfe, Mark , Bergsagel, P. Leif , Junior, Eduardo Alves do Valle , Wong, Stephen T.C. , Yao, Bing , Wiita, Arun P. , Martin, Thomas G. , Anderson, Daniel J.

Molecular Cancer Therapeutics | September 6, 2017 | Volume: 16 | Issue: 11 | Pages: 2375-2386

10.1158/1535-7163.mct-17-0233 Get It

Abstract Inhibition of the AAA ATPase, p97, was recently shown to be a novel method for targeting the ubiquitin proteasome system, and CB-5083, a first-in-class inhibitor of p97, has demonstrated broad antitumor activity in a range of both hematologic and solid tumor models. Here, we show that CB-5083 has robust activity against multiple myeloma cell lines and a number of in vivo multiple myeloma models. Treatment with CB-5083 is associated with accumulation of ubiquitinated proteins, induction of the unfolded protein response, and apoptosis. CB-5083 decreases viability in multiple myeloma cell lines and patient-derived multiple myeloma cells, including those with background proteasome inhibitor (PI) resistance. CB-5083 has a unique mechanism of action that combines well with PIs, which is likely owing to the p97-dependent retro-translocation of the transcription factor, Nrf1, which transcribes proteasome subunit genes following exposure to a PI. In vivo studies using clinically relevant multiple myeloma models demonstrate that single-agent CB-5083 inhibits tumor growth and combines well with multiple myeloma standard-of-care agents. Our preclinical data demonstrate the efficacy of CB-5083 in several multiple myeloma disease models and provide the rationale for clinical evaluation as monotherapy and in combination in multiple myeloma. Mol Cancer Ther; 16(11); 2375–86. ©2017 AACR.
A Meta-analysis of Multiple Myeloma Risk Regions in African and European Ancestry Populations Identifies Putatively Functional Loci
Rand, Kristin A. , Song, Chi , Déan, Eric, Serie, Daniel, Curtin, Karen , Sheng, Xin , Huff, Carol Ann , Bernal‐Mizrachi, Leon , Tomasson, Michael H. , Pawlish, Karen , Peters, Edward , Stram, Alex , Edlund, Christopher K., Conti, David V. , Zimmerman, Todd M., Hwang, Amie E. , Huntsman, Scott , Graff, John, Kong, Yinfei , Pregja, Silvana, Berndt, Sonja I. , Blot, William J. , Carpten, John D. , Chu, Lisa W., Diver, W. Ryan , Stevens, Victoria L. , Lieber, Michael R. , Goodman, Phyllis J. , Hennis, Anselm , Hsing, Ann W. , Mehta, Jayesh, Klein, Eric A. , Leske, Cristina, Murphy, Adam B. , Nemesure, Barbara , Strom, Sara S., Vij, Ravi , Rybicki, Benjamin A. , Stanford, Janet L. , Signorello, Lisa B., Witte, John S. , Bhatti, Parveen , Hu, Jennifer J. , Nyante, Sarah J. , Birmann, Brenda M. , Atanackovic, Djordje , Glenn, Martha, Jones, Brandt, Tricot, Guido , Kumar, Shaji , Wolf, Jeffrey L. , Halverson, Sandra L. , Rothman, Nathaniel , Brooks‐Wilson, Angela , Kolonel, Laurence N. , Severson, Richard K., Janakiraman, Nalini, Terebelo, Howard R. , Brown, Elizabeth E. , Roos, Anneclaire J. De , Mohrbacher, Ann , Spinelli, John J. , Munshi, Nikhil C. , Levy, Joan, Zonder, Jeffrey A. , Orlowski, Robert Z. , Camp, Nicola J. , Vachon, Celine M. , Ziv, Elad , Hazelett, Dennis J. , Haiman, Christopher A. , Serie, Daniel J, Hu, Donglei , Ailawadhi, Sikander , Singhal, Seema , Bock, Cathryn Hufford , Berg, David Van Den , Nooka, Ajay K. , Casey, Graham , Kittles, Rick A. , Kolb, Suzanne , Neslund-Dudas, Christine M , Ambrosone, Christine B. , John, Esther M. , Bernstein, Leslie , Zheng, Wei , Olshan, Andrew F. , Ziegler, Regina G. , Bandera, Elisa V. , Ingles, Sue A. , Press, Michael F. , Cannon‐Albright, Lisa , Martin, Thomas G. , Rothman, Nathaniel , Rajkumar, S. Vincent , Chanock, Stephen Jacob , Slager, Susan L. , Colditz, Graham A. , Giles, Graham G. , Chiu, Brian C.‐H. , Anderson, Kenneth C. , Orlowski, Robert Z. , Lonial, Sagar , Vachon, Celine M. , Stram, Daniel O. , Cozen, Wendy , Hazelett, Dennis J , Brooks-Wilson, Angela R , Klein, Eric A , De Roos, Anneclaire J , Nyante, Sarah , Bhatti, Parveen , Birmann, Brenda M , Ziv, Elad , Conti, David V

Cancer Epidemiology, Biomarkers & Prevention | September 2, 2016 | Volume: 25 | Issue: 12 | Pages: 1609-1618

10.1158/1055-9965.epi-15-1193 Get It

Abstract Background: Genome-wide association studies (GWAS) in European populations have identified genetic risk variants associated with multiple myeloma. Methods: We performed association testing of common variation in eight regions in 1,318 patients with multiple myeloma and 1,480 controls of European ancestry and 1,305 patients with multiple myeloma and 7,078 controls of African ancestry and conducted a meta-analysis to localize the signals, with epigenetic annotation used to predict functionality. Results: We found that variants in 7p15.3, 17p11.2, 22q13.1 were statistically significantly (P < 0.05) associated with multiple myeloma risk in persons of African ancestry and persons of European ancestry, and the variant in 3p22.1 was associated in European ancestry only. In a combined African ancestry–European ancestry meta-analysis, variation in five regions (2p23.3, 3p22.1, 7p15.3, 17p11.2, 22q13.1) was statistically significantly associated with multiple myeloma risk. In 3p22.1, the correlated variants clustered within the gene body of ULK4. Correlated variants in 7p15.3 clustered around an enhancer at the 3′ end of the CDCA7L transcription termination site. A missense variant at 17p11.2 (rs34562254, Pro251Leu, OR, 1.32; P = 2.93 × 10−7) in TNFRSF13B encodes a lymphocyte-specific protein in the TNF receptor family that interacts with the NF-κB pathway. SNPs correlated with the index signal in 22q13.1 cluster around the promoter and enhancer regions of CBX7. Conclusions: We found that reported multiple myeloma susceptibility regions contain risk variants important across populations, supporting the use of multiple racial/ethnic groups with different underlying genetic architecture to enhance the localization and identification of putatively functional alleles. Impact: A subset of reported risk loci for multiple myeloma has consistent effects across populations and is likely to be functional. Cancer Epidemiol Biomarkers Prev; 25(12); 1609–18. ©2016 AACR.