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Rubinstein, Samuel M.

https://orcid.org/0000-0002-5568-4441

Mayo Clinic

University of North Carolina at Chapel Hill

Citations 4

Defining functional high-risk multiple myeloma in the era of modern induction therapy
Paul, Barry, Tan, Carlyn , Geyer, Susan, Pederson, Levi , Schumacher, Peyton, Kennedy, Caroline, Semmel, Emily A., James, Shandra, Cleaves, Travis, Zanwar, Saurabh , Zonder, Jeffrey A. , Rubinstein, Samuel M. , Hashmi, Hamza , Bhutani, Manisha , Kennedy, C., James, Shandra, Schroeder, Mark A. , Martin, Thomas G. , Nooka, Ajay K. , D’Souza, Anita , Richard, Shambavi , Sperling, Adam S. , Rosenberg, Aaron , Usmani, Saad Z.

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 4014-4014

10.1182/blood-2025-4014 Get It

Abstract Background: Treatment of multiple myeloma (MM) has advanced dramatically over the past decade with median overall survival (OS) for newly diagnosed MM patients (pts) now exceeding 10 years. However, outcomes in pts with high-risk disease remain poor. While most pts with high-risk disease are identified through baseline cytogenetic risk stratification, presence of extramedullary disease, or R-ISS stage, there is also a population of pts who may or may not have these traditional high-risk factors who relapse earlier than expected and have similarly poor outcomes. These pts are often delineated as “functional high-risk,” but a standardized definition of this population in the era of modern myeloma therapy is lacking. Methods: Using the ASH Research Collaborative (ASH RC) Data Hub, we retrospectively searched 7,249 pts across 10 participating institutions for those with newly diagnosed multiple myeloma (NDMM) treated with a triplet or quadruplet induction regimen (with or without autologous stem cell transplant) who had response data available. We evaluated duration of response from first line therapy (PD1) on post-PD1 clinical outcomes such as: time to next treatment (TTNT), time to subsequent progression and/or death (PFS2), and OS. We also analyzed characteristics of those who did vs. did not progress at prespecified time points of interest (12-, 18-, 24-, and 36-months) from the start of induction. We utilized recursive partitioning analyses to iteratively explore all possible cutpoints and identify which one(s) provide the greatest differentiation in the risk of subsequent progression and/or death. Results: We identified 1,305 pts who met the eligibility criteria. Of these, 264 had PD1 data including 201 who had response follow-up (f/u) after PD1. Median f/u after PD1 in this population was 3.2 years, and median PFS2 f/u after PD1 (n=201) was 4.4 years. Months to PD1 was significantly associated with PFS2 (p=0.038). All prespecified time points examined showed inferior PFS2 compared to those with PD1 >36 mos, although each subgroup was not statistically significant, likely due to limited numbers in each group: PD1 <12 mos HR=1.44 (n=43; 95% CI: 0.90 – 2.30; p=0.126), PD1 12-24 mos HR=1.65 (n=30; 95% CI: 0.95 – 2.85; p=0.073), and PD1 24-36 mos HR=1.58 (n=52; 95% CI: 0.98 – 2.53; p=0.059). Similarly, timing of PD1 was also associated with OS post-PD1; pts with PD1 <12 mos had significantly lower OS compared to those with PD1 >36 mos (HR=2.35, 95% CI: 1.27 – 4.32; p=0.006). Our recursive partitioning analysis identified 30-months at the cutoff that produced the greatest differential in outcomes between those above vs. below the landmark. Approximately 23% of the pts analyzed had PD1 within 30 mos, and these pts had significantly lower OS compared to those with PD1 ≥30 mos (HR=1.99, 95% CI: 1.21 – 3.27; p=0.006). Similarly, pts who progressed within 30 mos of starting 1L therapy (n=98) had significantly shorter PFS2 (median=12.5 mos vs 22.8 mos; HR=1.55, 95% CI: 1.09 – 2.20; p=0.014) than those who did not (n=103). Those pts who progressed within 30 mos were more likely to have a higher R-ISS stage at diagnosis (p=0.048), but were not more likely to have high-risk cytogenetics (p=0.66) compared to pts with PD1 ≥30 mos. Interestingly, receiving SCT as part of 1L therapy was not significantly associated with improved PFS2 (HR=0.89, 95% CI: 0.62 – 1.29; 0.54) but was significantly associated with improved OS (HR=0.53, 95% CI: 0.31 – 0.90; 0.018) by univariate analysis. Conclusion: Our study is the first to use a large, multicenter, cohort to evaluate the definition of functional high-risk MM in the era of novel induction therapies. Our data suggest that pts who progress within 30 mos of induction on triplet or quadruplet regimens (irrespective of whether they underwent stem cell transplant) have poorer outcomes than those who progress at 30 mos or later, and that progression prior to 30 mos represents functional high-risk disease. These pts represent a clear unmet medical need, and additional focus should be taken to identify them early with the goal of designing trials to optimize their subsequent therapies.
Safety and efficacy of linvoseltamab (LINVO) combined with anti-CD38 monoclonal antibodies (mAbs) daratumumab (DARA) or isatuximab (ISA) in patients (pts) with relapsed/refractory multiple myeloma (RRMM): Initial results from the multicohort, Phase 1b LINK
Manier, Salomon, Rubinstein, Samuel M. , Chamorro, Maria Del Carmen Martinez, Breazna, Aurora, Dhadwal, Amishi, Masinde, Sheila , Kroog, Glenn S. , Sarkaria, Shawn , Dimopoulos, Meletios Α. , Delimpasi, Sosana , Manier, Salomon, Michot, Jean‐Marie , Ocio, Enrique M. , Cook, Joselle , Ghodke‐Puranik, Yogita , Oriol, Albert

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 2254-2254

10.1182/blood-2025-2254 Get It

Abstract Introduction LINVO, a human B-cell maturation antigen (BCMA)xCD3 bispecific antibody, was recently approved for triple-class exposed (TCE) RRMM after ≥3 prior therapies (EU) or ≥4 prior lines of therapy (US), demonstrating high efficacy and a generally manageable safety profile. Combining LINVO with an anti-CD38 mAb, such as DARA or ISA, may provide additional benefit to pts with RRMM. Here we report pooled safety and efficacy results from the LINVO + DARA and LINVO + ISA cohorts during the dose-finding portion of the Phase 1b LINKER-MM2 trial (NCT05137054). Methods Eligible pts were aged ≥18 years with RRMM that progressed after ≥3 lines of therapy (LoTs), or ≥2 LoTs if TCE or double-class refractory (immunomodulatory drug [IMiD] + proteasome inhibitor [PI]). Prior treatment (tx) with DARA or ISA was allowed if previously tolerated and ≥6 months (mos) or ≥3 mos washout, respectively, had elapsed since last exposure. Tx began with LINVO monotherapy (Cycle [C]0; 28-day cycle) consisting of 2 step-up doses (5 mg, 25 mg) and 2 full doses (dose level [DL]1 100 mg; DL1b 150 mg; DL2 200 mg) before standard dosing of DARA or ISA was added at C1. LINVO was given once weekly in C1–3 and once every 2 weeks in C4+. At the end of 2024, dosing once every 4 weeks was implemented after C6 if a very good partial response or better (≥VGPR) was achieved. Dexamethasone premedication was required during the first 2 cycles and then given per label for DARA or ISA. Primary endpoints: dose-limiting toxicities (DLTs) and tx-emergent adverse events (TEAEs). Key secondary endpoints: overall response rate (ORR), duration of response (DOR), progression-free survival (PFS), and rate of minimal residual disease (MRD) negativity. The analyses reported here combine the LINVO + DARA and LINVO + ISA cohorts. Results As of May 7, 2025, 42 pts were enrolled. All pts were included in the safety analysis set: DL1 (DARA, n=12; ISA, n=6), DL1b (n=6; n=10), or DL2 (n=8; n=0); 37 were included in the efficacy analysis set: DL1 (DARA, n=11; ISA, n=5), DL1b (n=5; n=9), or DL2 (n=7; n=0). At baseline, all pts had received ≥1 PI (refractory to ≥1 PI: 76%) or ≥1 IMiD (refractory to ≥1 IMiD: 86%), and 21 pts (50%) had received prior DARA or ISA (refractory to DARA or ISA: 33% [DARA, n=4; ISA, n=10]). Median number of prior LoTs was 3 (range 2–8), including 50% of pts with TCE and 21% with triple-class refractory disease. Median age was 68 years (range 42–86); male, 57%; ISS stage III at study entry, 12%; high-risk cytogenetics, 31%; bone marrow plasma cells ≥50%, 31%; and soft tissue plasmacytomas, 33% (extramedullary, 12%). Median follow-up duration was 14.8 mos for DL1 (DARA 21.3; ISA 11.3), 7.6 mos for DL1b (DARA 13.5; ISA 5.2), and 5.9 mos for DL2 (all DARA), with 44%, 50%, and 63% of pts still receiving tx, respectively. The most common TEAEs were anemia (any grade [Gr] 48%; Gr 3/4 26%), neutropenia (41%; 41%), diarrhea (38%; 2%), and thrombocytopenia (38%; 17%). Cytokine release syndrome was reported in 33% of pts (all Gr 1/2 events except 1 Gr 3 event during the step-up period that fully resolved). No pts experienced immune effector cell-associated neurotoxicity syndrome (ICANS). Infections were reported in 32 pts (any Gr 76%; Gr ≥3 40%), and 3 resulted in death (1 tx related: cytomegalovirus [CMV] pneumonia; 2 tx unrelated: C. diff colitis and lower respiratory infection). One DLT was observed at DL1b in the ISA cohort (Gr 3 Epstein–Barr virus pharyngitis) and 1 was observed at DL2 in the DARA cohort (Gr 5 CMV pneumonia). Among efficacy evaluable pts, ORR was 75% at DL1 (12/16; ≥VGPR rate 75%), 93% at DL1b (13/14; ≥VGPR rate 57%), and 86% at DL2 (6/7; ≥VGPR rate 86%). Of 10 MRD-evaluable pts, all were MRD negative (<10−5by clonoSEQ or EuroFlow). The 12-mo DOR rate was 79% (95% confidence interval [CI] 52–92; median DOR not reached) and 12-mo PFS rate was 73% (95% CI 53–86; median PFS not reached). Pharmacokinetic analyses showed LINVO concentrations were not affected by the addition of DARA or ISA. ConclusionsIn pts with heavily pretreated RRMM, half of whom had prior anti-CD38 mAb exposure, the combination of LINVO and DARA or ISA was feasible, inducing a high rate of deep and durable responses, and exhibiting a safety profile similar to that reported for each individual drug. These preliminary data support continued development of LINVO plus an anti-CD38 mAb for the tx of pts with MM.
Assessment of Regional Variability in COVID-19 Outcomes Among Patients With Cancer in the United States
Hawley, Jessica E. , Sun, Tianyi , Chism, David D. , Duma, Narjust , Fu, Julie , Gatson, Na Tosha , Mishra, Sanjay , Nguyen, Ryan H., Reid, Sonya , Serrano, Oscar K. , Singh, Sunny , Venepalli, Neeta K. , Bakouny, Ziad , Bilen, Mehmet Asım , Choueiri, Toni K. , Dawsey, Scott J. , Fecher, Leslie A. , Flora, Daniel , Friese, Christopher R. , Glover, Michael , Gonzalez, Cyndi J, Goyal, Sharad , Khan, Hina, Lewis, Mark A. , McKay, Rana R. , Messing, Ian , Puc, Matthew , Ravindranathan, Deepak , Rhodes, Terence D., Rivera, Andrea Verghese, Roller, John , Shah, Sumit , Shaya, Justin , Streckfuss, Mitrianna, Wulff‐Burchfield, Elizabeth , Xie, Zhuoer , Shah, Dimpy P. , French, Benjamin , Verma, Amit , Gartrell, Benjamin A. , Ohri, Nitin , Butt, Omar H. , Campian, Jian , Fiala, Mark A. , Monahan, Ryan, Bohachek, Pamela, Mundt, Daniel , Tadesse, Eyob, Lammers, Philip E. , Prete, Salvatore A. Del , Bär, Michael , Gulati, Anthony P., Lo, K. M. Steve, Stratton, Jamie , Weinstein, Paul L., García, Jorge A. , Nakayama, John , Gupta, Shilpa , Ahluwalia, Manmeet S. , Lemmon, Christopher A. , Nizam, Amanda , Hoppenot, Claire , Bouchard, Gabrielle, Busser, Fiona, Connors, Jean M. , Curran, Catherine , Demetri, George D., Kelleher, Kaitlin M. , Shaw, Grace, Allen, Eli Van, Nuzzo, Pier Vitale , Zon, Rebecca L. , Zhang, Tian , Leighton, John, Grivas, Petros , Lynch, Ryan C. , Schweizer, Michael T. , Vinayak, Shaveta , Wagner, Michael J. , Clément, Jessica , Daher, Ahmad , Dailey, Mark, Jayaraj, Asha, Hsu, Emily , Menendez, Alvaro G. , Rathmann, Joerg, Accordino, Melissa , Alexander, Mariam P., Mushtaq, Sarah, Bernicker, Eric , Deeken, John F. , Shafer, Danielle , Gill, David , Low, Clarke A., Mashru, Sandeep H., Mansoor, Abdul-Hai, Zaren, Howard A. , Smith, Stephanie J., Akhtari, Mojtaba, Lau, Eric , Reeves, Mark E. , Elms, Destry, Altman, Jessica K. , Gurley, Michael, Mulcahy, Mary F. , Kulkarni, Amit , Shah, Surbhi , Rosovsky, Rachel , Reynolds, Kerry L. , Bardia, Aditya , Gainor, Justin F. , Zubiri, Leyre , Bonnen, Mark , Mahadevan, Daruka , Salazar, Mary, Faller, Bryan A. , Ajmera, Archana , Brouha, Sharon S. , Cabal, Angelo , Kligerman, Seth , Weissmann, Lisa B., Jani, Chinmay , Thomson, Carey C. , Knoble, Jeanna, Glace, Mary Grace, Stauffer, Karen, Zacks, Rosemary, Blau, Sibel , Menon, Harry, Rovito, Marc A., Elshoury, Amro, Misdary, Christian, Shah, Mansi , Mahmood, Sana , Mico, Vasil, Logan, Barbara, Mandapakala, Chaitanya, Cabebe, Elwyn C., Jha, Alokkumar , Schapira, Lidia , Wu, Julie , Subbiah, Suki , Lopes, Gilberto , Revankar, Sanjay G. , Addison, Daniel , Chen, James L. , Karivedu, Vidhya , Lustberg, Maryam B. , Wall, Sarah , Williams, Nicole , Kasi, Anup , Edwin, Natasha, Smits, Melissa, Owenby, Susie, Doroshow, Deborah B. , Galsky, Matthew D. , Zhu, Huili , Sueyoshi, Mark, Riess, Jonathan W. , Patel, Kanishka G. , Rubinstein, Samuel M. , Ahmad, Syed A. , Grover, Punita , Kharofa, Jordan , Marcum, Michelle, Park, Cathleen, Geiger, Christoper L., Bishnoi, Rohit , Russ, Atlantis Dawn, Rho, Young Soo , Feldman, Lawrence , Hoskins, Kent , Gantt, Gerald, Liu, Li , Khan, Mahir, Nguyen, Ryan H., Schwartz, Candice, Mavromatis, Blanche H., Bijjula, Ragneel R., Cheng, Alex , Duda, Stephany N. , Enriquez, Kyle T. , Gillaspie, Erin A. , Hennessy, Cassandra , Johnson, Douglas B. , Slosky, David, Solórzano, Carmen C. , Vega-Luna, Karen, Kennecke, Hagen F. , Schroeder, Brett A., Carducci, Theresa M., Goldsmith, Karen J., Loon, Susan Van, Topaloĝlu, Ümit , Alimohamed, Saif, Rice, Robert, Cabalona, Wilhelmina D., Pilar, Christine, Peddi, Prakash , Rosen, L, McCollough, Briana Barrow, LoRusso, Patricia , Masters, Tyler, Choueiri, Toni K , Bakouny, Ziad , Hawley, Jessica E , Mishra, Sanjay , Wu, Julie T , Xie, Zhuoer , Zubiri, Leyre , Gatson, Na Tosha N , Fiala, Mark A , Ahluwalia, Manmeet S , Lustberg, Maryam , Nguyen, Ryan H., Bashir, Babar , Caimi, Paolo F. , Hálfdánarson, Þorvarður R. , Hershman, Dawn L. , Labaki, Chris , Pennell, Nathan A , Schwartz, Gary K. , Thompson, Michael A. , Yu, Peter Paul , Warner, Jeremy L. , Hwang, Clara , Halmos, Balázs , Goel, Sanjay , Sica, Roberto Alejandro , Thakkar, Astha , Stockerl‐Goldstein, Keith , Henderson, Jeffrey P. , Zhou, Alice Y. , Panagiotou, Orestis A. , Egan, Pamela , Farmakiotis, Dimitrios , Olszewski, Adam J. , Loaiza‐Bonilla, Arturo , Bar, Michael H., Rose, Suzanne J. , Barnholtz‐Sloan, Jill S. , Li, Ang , Giordano, Antonio , Nohria, Anju , Schmidt, Andrew , Xu, Vincent Eric , Halabi, Susan , Lyman, Gary H , Graber, Jerome J. , Khaki, Ali Raza , Loggers, Elizabeth T , Nakasone, Elizabeth S. , Tachiki, Lisa , Yeh, Albert C. , Huynh‐Le, Minh‐Phuong , Rosenstein, Lori J. , Dailey, Mark, Elias, Rawad , Gadgeel, Shirish M. , Bhutani, Divaya , Reuben, Daniel Y. , Alexander, Mariam, Nagaraj, Gayathri , Berg, Stephanie , Morgans, Alicia K. , Wehbe, Firas , Durbin, Eric B. , Nelson, Heather H. , Sachs, Zohar , Boland, Genevieve M. , Bekaii‐Saab, Tanios , Desai, Aakash , Mesa, Ruben A. , Ramirez, Amelie G , Shah, Pankil , Hsiao, Albert , Rink, Cameron L. , Joshi, Monika , Griffiths, Elizabeth A. , Jabbour, Salma K , McNair, Christopher M. , Kloecker, Goetz Hans , Stover, Daniel G. , Gatti-Mays, Margaret Elena , Jhawar, Sachin R. , Palmer, Joshua D. , Wotman, Michael T. , Fazio, Alyson, Huber, Kathryn E. , Wood, William A. , Jensen, Christopher Edward , Kumar, Vaibhav , Wise-Draper, Trisha Michel , Gulati, Shuchi , Latif, Tahir , Shaikh, Hira , Bowles, Daniel W. , Markham, Merry Jennifer , Shah, Chintan , Acoba, Jared David , Nguyen, Ryan H., Pasquinelli, Mary M. , Vikas, Praveen , Zaman, Qamar U., Davis, Elizabeth J. , Hausrath, Daniel J. , Hsu, Chih–Yuan , Li, Xuanyi , Rini, Brian I. , Shyr, Yu , Tucker, Matthew D. , Wang, Lucy Lu , Aboulafia, David M. , Schroeder, Brett , Hafez, Navid , Herbst, Roy S. , Stratton, Catherine

JAMA Network Open | January 4, 2022 | Volume: 5 | Issue: 1 | Pages: e2142046

10.1001/jamanetworkopen.2021.42046 Get It

Utilization of COVID-19 Treatments and Clinical Outcomes among Patients with Cancer: A COVID-19 and Cancer Consortium (CCC19) Cohort Study
Rivera, Donna R. , Peters, Solange , Shah, Dimpy P. , Kuderer, Nicole M. , Hsu, Chih–Yuan , Rubinstein, Samuel M. , Lee, Brendan J., Choueiri, Toni K. , Lopes, Gilberto , Grivas, Petros , Arcobello, Jonathan , Bakouny, Ziad , Doroshow, Deborah B. , Egan, Pamela , Fecher, Leslie A. , Friese, Christopher R. , Galsky, Matthew D. , Gupta, Shilpa , Hálfdánarson, Þorvarður R. , Halmos, Balázs , Khaki, Ali Raza , Lemmon, Christopher A. , Mishra, Sanjay , Puc, Matthew , Revankar, Sanjay G. , Schapira, Lidia , Schmidt, Andrew , Shah, Sumit , Wu, Julie , Xie, Zhuoer , Yeh, Albert C. , Zhu, Huili , Shyr, Yu , Grivas, Petros , Bakouny, Ziad , Galsky, Matthew D , Goel, Sanjay , Halfdanarson, Thorvardur R , Hawley, Jessica E , Mishra, Sanjay , Pennell, Nathan A , Puc, Matthew M , Revankar, Sanjay G , Wu, Julie T , Yeh, Albert C , Warner, Jeremy L , Peters, Solange , Choueiri, Toni K , Xie, Zhuoer , Khaki, Ali Raza , Panagiotou, Orestis A. , Painter, Corrie , Rini, Brian I. , Thompson, Michael A. , Farmakiotis, Dimitrios , Goel, Sanjay , Hawley, Jessica E. , Olszewski, Adam J. , Schwartz, Gary K. , Lyman, Gary H , Warner, Jeremy L.

Cancer Discovery | July 22, 2020 | Volume: 10 | Issue: 10 | Pages: 1514-1527

10.1158/2159-8290.cd-20-0941 Get It

Abstract Among 2,186 U.S. adults with invasive cancer and laboratory-confirmed SARS-CoV-2 infection, we examined the association of COVID-19 treatments with 30-day all-cause mortality and factors associated with treatment. Logistic regression with multiple adjustments (e.g., comorbidities, cancer status, baseline COVID-19 severity) was performed. Hydroxychloroquine with any other drug was associated with increased mortality versus treatment with any COVID-19 treatment other than hydroxychloroquine or untreated controls; this association was not present with hydroxychloroquine alone. Remdesivir had numerically reduced mortality versus untreated controls that did not reach statistical significance. Baseline COVID-19 severity was strongly associated with receipt of any treatment. Black patients were approximately half as likely to receive remdesivir as white patients. Although observational studies can be limited by potential unmeasured confounding, our findings add to the emerging understanding of patterns of care for patients with cancer and COVID-19 and support evaluation of emerging treatments through inclusive prospective controlled trials. Significance: Evaluating the potential role of COVID-19 treatments in patients with cancer in a large observational study, there was no statistically significant 30-day all-cause mortality benefit with hydroxychloroquine or high-dose corticosteroids alone or in combination; remdesivir showed potential benefit. Treatment receipt reflects clinical decision-making and suggests disparities in medication access. This article is highlighted in the In This Issue feature, p. 1426