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Carfilzomib or bortezomib with lenalidomide, and dexamethasone (VRd) for initial therapy of newly diagnosed multiple myeloma (NDMM): Long-term follow-up of the ECOG-ACRIN ENDURANCE phase 3 trial.
Kumar, Shaji, Faber, Edward A., Singh, Avina A., Parker, Terri L., Menter, Alex R. , Yang, Xuezhong, Kumar, Pankaj , Kapoor, Prashant , Aaron, Rosenberg, Zonder, Jeffrey A. , Richardson, Paul G. , Jacobus, Susanna , Kumar, Shaji , Cohen, Adam D. , Callander, Natalie S. , Parsons, Benjamin M. , Anderson, Kenneth C. , Lonial, Sagar , Richardson, Paul Gerard Guy , Orlowski, Robert Z. , Wagner, Lynne I. , Rajkumar, S. Vincent

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: 7540-7540

10.1200/jco.2025.43.16_suppl.7540 Get It

7540 Background: The combination of a proteasome inhibitor (PI) with lenalidomide (R) and dex (d) has been a common initial therapy for newly diagnosed myeloma (NDMM). We designed a randomized phase 3 trial to examine if carfilzomib (K), a next generation PI, improved progression free survival (PFS) compared with bortezomib (V) when either is combined with Rd for initial treatment of NDMM. Initial analysis at a median follow up of 15.3 months (mos) showed comparable PFS for both triplets. We present the long-term results of the trial with ~70 months median follow up. Methods: Patients (Pts) with NDMM, were randomized 1:1 to receive VRd or KRd for 36 weeks followed by a 2 nd randomization (1:1) to indefinite versus 2 yrs of R maintenance. Pts without del17p, t(14;16), t(14;20), plasma cell leukemia or high-risk GEP70 profile, were enrolled. VRd arm included V 1.3 mg/m 2 on days(d) 1, 4, 8, and 11 (d1, 8 for cycles 9-12), R 25 mg d1-14, and d 20 mg d1, 2, 4, 5, 8, 9, 11, 12 of a 3-week (wk) cycle for 12 cycles, while pts in the KRd arm received K 36 mg/m 2 d1, 2, 8, 9, 15, 16 with R 25 mg daily on d1-21 and d 40 mg wkly, in 4 wk cycles for 9 cycles. Maintenance used 15 mg R d1-21 q4 wks. Results: The study accrued 1087 pts (VRd=542, KRd=545). Median age was 65y; baseline characteristics including intent to transplant were similar across the arms. Median induction duration (mos; IQR) was 7.2 (3.4-8.9) and 8.4 (5.1-9.1) for VRd and KRd, respectively; 59.8% in VRd and 45.3% in KRd did not proceed to Step 2. Median PFS (mos) was VRd=41.9 and KRd=44.6; HR = 0.89 (0.76-1.04). Toxicity data, PFS sensitivity analyses and OS probabilities are as in the table. Conclusions: In this randomized trial, with median follow up of nearly 6 years, KRd and VRd had comparable PFS and OS in an intent to treat analysis. While similar numbers proceeded to SCT in the 2 arms, more did so during induction in the VRd arm while more patients in the KRd arm went to SCT later. VRd remains a standard triplet induction regimen in standard and intermediate risk NDMM, and a suitable backbone for 4 drug combinations. Clinical trial information: NCT01863550 . N (%) VRd(n=527) KRd(n=526) SCT anytime 186 (34.3) 183 (33.6) SCT without Step 2 registration 146 112 Median Time to SCT (mos; range) 7.7 (3.5-83.9) 10.6 (3.7-70.6) Grade 3-4 Treatment-Related Toxicity 315 (59.8) 344 (65.4) Grade 5 Treatment-Related Toxicity 2 (0.4) 9 (1.7) Grade 5 All Events 11 (2.1) 20 (3.8) Survival outcomes HR Median (95% CI) Median (95% CI) PFS Primary: PD or death within 3 months of last evaluation as events 0.89(0.76-1.04) 41.9(35.7, 50.3) 44.6(38.2, 51.9) PFS Sensitivity: All deaths as events, 0.87(0.75-1.02) 39.5(34.9, 46.0) 42.8(37.4, 49.7) PFS Sensitivity: Censor at alternate Rx 0.83(0.69-0.99) 35.0(31.3, 42.6) 38.7(34.7, 49.0) PFS Sensitivity: Event at alternate Rx 0.84(0.73-0.97) 18.0(14.2, 23.0) 24.4(20.9, 27.9) Overall survival 0.92(0.75-1.12) 119(100, NE) 118(103-NE)
Dopamine Pathway and Parkinson's Risk Variants Are Associated with Levodopa‐Induced Dyskinesia
Sosero, Yuri L. , Bandrés‐Ciga, Sara , Tocino, Maria Teresa Periñan, Belloso, Dìaz R., Gómez‐Garre, Pilar , Faouzi, Johann , Pavelka, Lukas , Marques, Tainá M. , May, Patrick , Milanowski, Łukasz , Uitti, Ryan J. , Hilten, Jacobus J. van , Simon, David K. , Eberly, Shirley , Krohn, Lynne , Freeman, Kathryn , Ruskey, Jennifer A. , Asayesh, Farnaz , Menéndez‐González, Manuel , Pástor, Pau , Ross, Owen A. , Krüger, Rejko , Kõks, Sulev, Mir, Pablo , Klucken, Jochen , Gómez‐Garre, Pilar , Fatima, Noor , Gómez-Garre, Pilar , May, Patrick , Milanowski, Łukasz M , Wszolek, Z.K. , Simon, David K , Ross, Owen A , Corvol, Jean-Christophe , Koks, Sulev , Mir, Pablo , de Bie, Rob M A , Iwaki, Hirotaka , Gan-Or, Ziv , Pastor, Pau , Ferwerda, Bart , Taba, Pille , Gomes, Clarissa P. C. , Kolodkin, Alexey N. , Wszołek, Zbigniew K. , Heutink, Peter , Álvarez, Ignacio , Yu, Eric , Freeman, Kathryn, Rudakou, Uladzislau , Corvol, Jean‐Christophe , Bie, Rob M.A. de , Gan‐Or, Ziv

Movement Disorders | August 12, 2024 | Volume: 39 | Issue: 10 | Pages: 1773-1783

10.1002/mds.29960 | PMID 39132902 Get It

Abstract Background Levodopa‐induced dyskinesia (LID) is a common adverse effect of levodopa, one of the main therapeutics used to treat the motor symptoms of Parkinson's disease (PD). Previous evidence suggests a connection between LID and a disruption of the dopaminergic system as well as genes implicated in PD, including GBA1 and LRRK2 . Objectives Our goal was to investigate the effects of genetic variants on risk and time to LID. Methods We performed a genome‐wide association study (GWAS) and analyses focused on GBA1 and LRRK2 variants. We also calculated polygenic risk scores (PRS) including risk variants for PD and variants in genes involved in the dopaminergic transmission pathway. To test the influence of genetics on LID risk we used logistic regression, and to examine its impact on time to LID we performed Cox regression including 1612 PD patients with and 3175 without LID. Results We found that GBA1 variants were associated with LID risk (odds ratio [OR] = 1.65; 95% confidence interval [CI], 1.21–2.26; P = 0.0017) and LRRK2 variants with reduced time to LID onset (hazard ratio [HR] = 1.42; 95% CI, 1.09–1.84; P = 0.0098). The fourth quartile of the PD PRS was associated with increased LID risk (OR fourth_quartile = 1.27; 95% CI, 1.03–1.56; P = 0.0210). The third and fourth dopamine pathway PRS quartiles were associated with a reduced time to development of LID (HR third_quartile = 1.38; 95% CI, 1.07–1.79; P = 0.0128; HR fourth_quartile = 1.38; 95% CI = 1.06–1.78; P = 0.0147). Conclusions This study suggests that variants implicated in PD and in the dopaminergic transmission pathway play a role in the risk/time to develop LID. Further studies will be necessary to examine how these findings can inform clinical care. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Characteristics of Early-Onset vs Late-Onset Colorectal Cancer
Collaborative, REACCT, Zaborowski, Alexandra , Abdile, Ahmed, Adamina, Michel , Aigner, Felix , d’Allens, Laura, Allmer, Caterina, Álvarez, Andrea, Anula, Rocío, Atallah, S. , Bach, Simon P. , Barussaud, Marie, Baušys, Augustinas , Bebington, Brendan , Beggs, Andrew D. , Bellolio, Felipe, Bennett, Melissa-Rose , Berdinskikh, Anton, Bevan, Vicki, Bislenghi, Gabriele , Bludau, Marc , Boutall, Adam , Brouwer, Nelleke P.M. , Bruns, Christiane J. , Burger, Jacobus W. A. , Бурлов, Никита , Campanelli, Michela , Capdepont, Maylis, Carvello, Michele , Chew, Hwee-Hoon, Christoforidis, Dimitri, Clark, David A. , Climent, Marta, Cologne, Kyle G. , Contreras, Tomás, Croner, Roland S. , Daniels, I. R. , Delrio, Paolo , Deutsch, Michael , D’Hoore, André , Drozdov, E. S. , Duek, Daniel, Dunlop, Malcolm G. , Edmundson, Aleksandra , Efetov, Sergey , El‐Hussuna, Alaa , Elliot, Brodie, Espín, Eloy , Faes, Seraina , Faiz, Omar , Frasson, Matteo , Figueiredo, Nuno , Forgan, Tim , Frizelle, Frank , Gadaev, Shamil, Gellona, José, Glyn, Tamara , Gong, Jianping, Barisic, Goran, Greenwood, Emma, Guren, Marianne G. , Guillon, Stephanie, Gutlic, Ida , Hanly, Ann, Hasegawa, Hirotoshi , Iversen, Lene Hjerrild , Hill, James , Hoch, Jiří, Hoffmeister, Michael , Hompes, Roel , Hurtado‐Pardo, Luis , Iaquinandi, Fabiano , Imbrasaitė, Ugnė , Jafari, Mehrenah Dorna, Kanemitsu, Yukihide , Karimuddin, Ahmer , Keller, Deborah S. , Kelly, Justin, Kennelly, Rory , Khrykov, Gleb , Kocián, Petr , Koh, Cherry , Kok, N. F. M., Knight, Katrina , Knol, Joep, Kontovounisios, Christos , Kørner, Hartwig , Kronberger, Irmgard, Kroon, Hidde M. , Kural, Said , Lakkis, Zaher , Lankov, Timur , Larson, Dave, Lázár, György , Lee, Kai-Yin , Lepistö, Anna , Loi, Lynette , Lynch, Craig, Maillou‐Martinaud, Helene, Maroli, Annalisa , Martling, Anna , Matzel, Klaus E. , Mayol, Julio , McDermott, Frank , Meurette, G. , Mitteregger, Martin , Моисеенко, А С, Monson, John R.T. , Moritani, Konosuke , Munini, Martino , Nahas, Caio Sérgio Rizkallah , Negoi, Ionuţ , Novikova, A , Ocares, Misael, Olkina, Alexandra, Oñate‐Ocaña, Luis F. , Otero, Jaime, Özen, Cihan , Pace, Ugo , Julião, Guilherme Pagin São , Panaiotti, Lidiia , Panís, Yves , Papamichael, Demetris , Uriburu, Juan C Patrón , Pera, Miguél , Perez, Rodrigo Oliva , Pfeffer, F. , Phang, P. Terry , Poškus, Tomas , Pringle, Heather , Proud, David , Raguz, Ivana , Rama, N. , Rasheed, Shahnawaz, Raval, Manoj J. , Reißfelder, Christoph , Meneses, Juan Carlos Reyes , Ris, Frédéric , Riss, Stefan , Rodríguez‐Zentner, Homero , Saklani, Avanish , Salido, Andrea Jiménez, Sammour, Tarik , Saraste, Deborah , Schneider, Martin , Seishima, Ryo , Sekulic, Aleksander , Seppälä, Toni T. , Sheahan, Kieran , Shine, Rebecca , Shlomina, Alexandra , Sica, Guiseppe S., Singnomklao, T, Siragusa, Leandro , Spinelli, Antonino , Staiger, Roxane D. , Stamos, Michael J. , Sunderland, Michael, Tan, Ker‐Kan , Tanis, Pieter J. , Tekkis, Paris, Teklay, Biniam, Tengku, Sabrina , Jiménez‐Toscano, Marta , Turina, Matthias , Ulrich, Alexis , Vailati, Bruna Borba , Harten, Meike van, Warrier, Satish K. , Wexner, Steve, Wilt, Hans De, Xynos, Evangelos , You, Nancy, Zakharenko, Alexander, Zeballos, Justino, Winter, D. C. , Wexner, Steven D. , Hoffmeister, Michael , Seppälä, Toni T , Spinelli, Antonino , Wexner, Steven D , Ris, Frederic , Collaborative, REACCT, Andric, Mihailo , Bala, Miklosh , Biondo, Sebastiano , Brown, Carl James , Buchanan, Daniel D. , Buchwald, Pamela , Dapri, Giovanni , Davies, Justin , Denost, Quentin , Dias, André Roncon , Dziki, Adam Janusz , Emile, Sameh Hany , Evans, Martyn D. , Fleming, Fergal J. , Foppa, Caterina , Fowler, G , Gong, Jianping, Greenwood, Emma, Hahnloser, Dieter , Hampel, Heather , Hill, Andrew Graham , Islam, Rumana, Jafari, Mehrenah D, Карачун, А. М. , Krivokapić, Zoran , Kryžauskas, Marius , Kusters, Miranda , Lee, Suk-Hwan , Lefèvre, Jérémie H. , Lieu, Christopher H. , Martin, Sean, Millán, Mónica , Morărașu, Ștefan , Möslein, Gabriela , Nahas, Sérgio Carlos , Okabayashi, Koji , Олькина, Александра Юрьевна , Park, Jason , Patel, Swati , Petrov, Alexei, Rega, Daniela , Roxburgh, Campbell S.D. , Smart, Neil James , Solis, Alejandro, Steele, Scott R. , Владимирович, Царьков Петр , Verhoef, Cornelis , Weinberg, Benjamin A. , Wells, Cameron I. , Wolthuis, Albert M.

JAMA Surgery | June 30, 2021 | Volume: 156 | Issue: 9 | Pages: 865

10.1001/jamasurg.2021.2380 | PMID 34190968 Get It

Identification of a Locus Near ULK1 Associated With Progression-Free Survival in Ovarian Cancer
Quinn, Michael C. , McCue, Karen, Shi, Wei , Johnatty, Sharon E. , Beesley, Jonathan, Civitarese, Andrew, O’Mara, Tracy A. , Glubb, Dylan M. , Armasu, Sebastian M. , Ong, Jue‐Sheng , Lu, Yi , Gao, Bo , Patch, Ann‐Marie , Fasching, Peter A. , Beckmann, Matthias W. , Lambrechts, Diether , Vergote, Ignace , Beeghly‐Fadiel, Alicia, García, María J. , Goodman, Marc T. , Dörk, Thilo , Moysich, Kirsten B. , Pfisterer, Jacobus , Bauman, Klaus, Lester, Jenny , Cunningham, Julie M. , McCauley, Bryan M. , Høgdall, Claus , Schildkraut, Joellen M. , Riggan, Marjorie J. , Terry, Kathryn L. , Webb, Penelope M. , May, Taymaa, Ene, Gabrielle, Huntsman, David G., Woo, Michelle, Carney, Michael E. , Fereday, Sián , Kennedy, Catherine J. , Edwards, Stacey L. , DeFazio, Anna , Goode, Ellen L. , MacGregor, Stuart , Chenevix‐Trench, Georgia , Lambrechts, Diether , Quinn, Michael C J , Ong, Jue-Sheng , Gharahkhani, Puya , Lu, Yi , Fasching, Peter A , Lambrechts, Diether , Vergote, Ignace , Dörk, Thilo , Dürst, Matthias , Modugno, Francesmary , Bois, Andreas du , Karlan, Beth Y , Cunningham, Julie M , Kjaer, Susanne K , Webb, Penelope M , Friedlander, Michael , Glasspool, Rosalind , Hinsley, Samantha , Heitz, Florian , Kennedy, Catherine J , Winham, Stacey J , Fazio, Anna de , Pharoah, Paul D P , MacGregor, Stuart , Lambrechts, Diether , Moysich, Kirsten , O'Mara, Tracy A , Chenevix-Trench, Georgia , Høgdall, Claus K , Fereday, Sian , Goodman, Marc T , Beesley, Jonathan, Tyrer, Jonathan P. , Gharahkhani, Puya , Edwards, Digna R. Velez , Beeghly‐Fadiel, Alicia , Benı́tez, Javier , Modugno, Francesmary , Karlan, Beth Y. , Larson, Melissa C. , Kjær, Susanne K. , Jensen, Allan , Høgdall, Estrid , Berchuck, Andrew , Cramer, Daniel W. , Bjørge, Line , Friedländer, Michael , Pejovic, Tanja B. , Moffitt, Melissa , Glasspool, Rosalind , Heitz, Florian , Winham, Stacey J. , Pharoah, Paul D.P.

Cancer Epidemiology, Biomarkers & Prevention | June 23, 2021 | Volume: 30 | Issue: 9 | Pages: 1669-1680

10.1158/1055-9965.epi-20-1817 | PMID 34162658 Get It

Abstract Background: Many loci have been found to be associated with risk of epithelial ovarian cancer (EOC). However, although there is considerable variation in progression-free survival (PFS), no loci have been found to be associated with outcome at genome-wide levels of significance. Methods: We carried out a genome-wide association study (GWAS) of PFS in 2,352 women with EOC who had undergone cytoreductive surgery and standard carboplatin/paclitaxel chemotherapy. Results: We found seven SNPs at 12q24.33 associated with PFS (P < 5 × 10–8), the top SNP being rs10794418 (HR = 1.24; 95% CI, 1.15–1.34; P = 1.47 × 10–8). High expression of a nearby gene, ULK1, is associated with shorter PFS in EOC, and with poor prognosis in other cancers. SNP rs10794418 is also associated with expression of ULK1 in ovarian tumors, with the allele associated with shorter PFS being associated with higher expression, and chromatin interactions were detected between the ULK1 promoter and associated SNPs in serous and endometrioid EOC cell lines. ULK1 knockout ovarian cancer cell lines showed significantly increased sensitivity to carboplatin in vitro. Conclusions: The locus at 12q24.33 represents one of the first genome-wide significant loci for survival for any cancer. ULK1 is a plausible candidate for the target of this association. Impact: This finding provides insight into genetic markers associated with EOC outcome and potential treatment options. See related commentary by Peres and Monteiro, p. 1604
Carfilzomib, lenalidomide, and dexamethasone (KRd) versus bortezomib, lenalidomide, and dexamethasone (VRd) for initial therapy of newly diagnosed multiple myeloma (NDMM): Results of ENDURANCE (E1A11) phase III trial.
Kumar, Shaji , Jacobus, Susanna , Weiss, Matthias , Singh, Avina A., Parker, Terri L., Menter, Alex R. , Yang, Xuezhong, Kumar, Pankaj , Kapoor, Prashant , Zonder, Jeffrey A. , Faber, Edward A., Richardson, Paul G. , Cohen, Adam D. , Callander, Natalie S. , Parsons, Benjamin M. , Rosenberg, Aaron , Lonial, Sagar , Richardson, Paul Gerard Guy , Orlowski, Robert Z. , Wagner, Lynne I. , Rajkumar, S. Vincent

Journal of Clinical Oncology | June 1, 2020 | Volume: 38 | Issue: 18_suppl | Pages: LBA3-LBA3

10.1200/jco.2020.38.18_suppl.lba3 Get It

LBA3 Background: Bortezomib (btz) combined with lenalidomide (len) and dexamethasone (dex) (VRd) is a standard initial therapy for NDMM. Carfilzomib (cfz), a next-generation proteasome inhibitor, in combination with len-dex (KRd) has shown higher efficacy in phase II trials. This randomized phase III trial was designed to examine if KRd improves progression free survival (PFS) compared to VRd in NDMM (current results), and whether indefinite maintenance with len improves OS compared with two-year maintenance (to be analyzed once data matures). Methods: Patients (Pts) with NDMM, were randomized to receive VRd or KRd in a 1:1 fashion for 36 weeks followed by a second randomization (1:1) to indefinite versus two years of len maintenance. Pts without del17p, t (14;16), t(14;20), plasma cell leukemia or high-risk GEP70 profile, were enrolled. VRd arm included btz 1.3 mg/m2 on days(d) 1, 4, 8, and 11 (d 1, 8 for cycles 9-12), len 25 mg d 1-14, and dex 40 mg d 1, 2, 4, 5, 8, 9, 11, 12 of a 3-week (wk) cycle for 12 cycles, while pts in the KRd arm received cfz 36 mg/m2 d 1, 2, 8, 9, 15, 16 with len 25 mg daily on d 1-21 and dex 40 mg wkly, in 4 wk cycles for 9 cycles. Maintenance included len 15mg d 1-21 every 4 wks. The study was designed to detect a hazard ratio (HR)=0.75 with 80% power at 1-sided 2.5% alpha and 399 PFS events (progression or death regardless of intervening therapy). Results: The study accrued 1087 pts (VRd=542, KRd=545). The median age was 65y. Treatment, efficacy, and toxicity data are in the table. At the second of 3 planned interim analyses, with PFS HR=1.04 (95% CI, 0.8 to 1.3, p=0.74), futility was met. Median PFS was VRd=34.4m and KRd=34.6m; no differences were seen based on age (<65 or ≥65), presence or absence of t(4;14) or ISS stage. The three-year OS (95% CI) was similar: VRd 84% (80 to 88) and KRd 86% (82 to 89). Conclusions: In this randomized phase 3 trial, KRd did not improve PFS compared with VRd in NDMM. A significantly higher rate of cardio-pulmonary and renal toxicity was observed with KRd, while neuropathy rates were higher with VRd. VRd remains the standard triplet induction regimen in standard and intermediate risk NDMM, and a suitable backbone for 4 drug combinations. Clinical trial information: NCT01863550 . [Table: see text]
A Randomized Phase III Trial of Lenalidomide Plus High-Dose Dexamethasone Versus Lenalidomide Plus Low-Dose Dexamethasone in Newly Diagnosed Multiple Myeloma (E4A03): A Trial Coordinated by the Eastern Cooperative Oncology Group.
Jacobus, Susanna , Vesole, David H. , Greipp, Philip R., Rajkumar, S. Vincent , Callander, Natalie S. , Fonseca, Rafaël

Blood | April 19, 2020 | Volume: 108 | Issue: 11 | Pages: 799-799

10.1182/blood.v108.11.799.799 Get It

Abstract Background: Lenalidomide has shown efficacy in patients with relapsed myeloma in phase II and III clinical trials, and is currently being investigated as initial therapy for the disease. We report results of a phase III trial comparing lenalidomide plus high-dose dexamethasone (Dex) versus lenalidomide plus low-dose Dex as first line therapy in newly diagnosed multiple myeloma (MM). Methods: Pts with newly diagnosed, untreated, symptomatic MM were eligible. Pts in both arms received lenalidomide 25 mg/day PO on days 1–21 every 28 days. In addition, patients in the high-dose Dex arm (Arm A) received Dex 40 mg on days 1–4, 9–12, and 17–20 PO every 28 days, while pts in the low-dose Dex arm (Arm B) received Dex 40 mg on days 1, 8, 15, and 22 PO every 28 days. The primary endpoint was best response at 4 months on intent to treat basis. At 4 months pts could go off study for stem cell transplant or elect to continue therapy until progression. Response was defined as a decrease in serum and urine monoclonal (M) protein by 50% or higher. If the serum M protein was unmeasurable, a 90% or higher decrease in urine M protein was required. Responses need to be confirmed at least 4 weeks apart. Patients with disease progression or not responding to lenalidomide within 4 months switched to thalidomide with the same dose of dexamethasone they were receiving (Arms C and D, respectively). An independent Data Monitoring Committee approved release of these results. Results: 445 pts were enrolled: 223 randomized to Arm A and 222 to Arm B. Median age was 65 yrs. Serious adverse event data based on expedited reporting (AdEERS) is available on all pts (see table). Common adverse events of Grade 3 or higher were thromboembolism (18.4% in arm A vs 5.4% in Arm B), infection/pneumonia (18.8% vs 9.0%) and hyperglycemia (5.8% vs 1.8%). Incidence of any grade 4 or higher toxicity was 22.0% in Arm A vs 12.6% in Arm B. Response data is being analyzed. Conclusions: Lenalidomide plus two different schedules of Dex was investigated in this phase III trial. Preliminary results suggest that toxicity rates are higher in the high-dose Dex arm. The differences in the response rates between the two arms will dictate future trials and clinical practice. Major Toxicties (AdEERS) Toxicity Arm A (n=223) Arm B (n=222) Cardiac ischemia (Grade &gt;=3) 2.7% 0.5% Hyperglycemia (Grade &gt;=3) 5.8% 1.8% Infection/Pneumonitis (Grade &gt;=3) 18.8% 9.0% Neuropathy (Grade &gt;=3) 0.9% 0.9% Thromboembolism (Grade &gt;=3) 18.4% 5.4% Any non-Hem toxicity (Grade &gt;=3) 53.4% 36.0% Any toxicity (Grade &gt;=4) 22.0% 12.6% Death (Grade 5) 4.5% 1.4%
SNP Associations with Event Free Survival in Myeloma from Two Phase III Clinical Trials Using the Bank On A Cure Chip.
Ness, Brian G. Van , Crowley, John C., Ramos, Christine, Grindle, Suzanne, Hoering, Antje , Haessler, Jeff, Jacobus, Susanna , Durie, Brian G.M. , Katz, Michael , Barlogie, Bart , Johnson, David C. , Rajkumar, S. Vincent , Morgan, Gareth J.

Blood | April 19, 2020 | Volume: 108 | Issue: 11 | Pages: 131-131

10.1182/blood.v108.11.131.131 Get It

Abstract While there are certain common clinical features in myeloma, the disease shows significant heterogeneity with regard to disease progression, and responses to therapy, affecting both survival and toxicities. Heritable variations in a wide variety of genes and pathways affecting cellular functions and drug responses likely impact patient outcomes. In the Bank On A Cure (BOAC) program we have developed a custom chip that assesses 3,404 SNPs representing variations in cellular functions and pathways that may be involved in myeloma progression and response. The chip has gone through rigorous quality controls checks for high call rates, accuracy, and reproducibility that will be presented. Using the BOAC chip, we have conducted studies to look for SNPs that may identify biologic variations that are associated with good or poor response across a variety of treatments. In this study we looked for SNPs that may distinguish short term and long term survivors in two phase III clinical trials: ECOG E9486 and intergroup trial S9321. E9487 patients were treated with VBMCP followed by randomization to no further treatment, IFN-alpha, or cylcophosphamide; and, although there was variation in survival, no significant differences in survival were noted among the 3 arms of the trial. Patients included in this SNP study from S9321 received VAD induction followed by randomization to VBMCP or high dose melphalan + TBI. SNP profiles were obtained for patients with less than 1 year EFS (n=20 in E9487; n=50 in S9321) and patients showing greater than 3 years EFS (n=32 in E9486; n=41 in S9321). Statistical approaches were performed to identify single and groups of SNPs that best discriminated the survival groups. Previous studies have suggested genetic variations in drug metabolism genes, p-glycoprotein transport, and DNA repair genes may influence survival outcomes. Our results show significant survival associations of genetic variations in genes within these functional categories (eg. GST, XRCC, ABCB, and CYP genes). Although genetic variations were found that were uniquely associated with each clinical trial, several of these genetic variations show survival associations that increase in significance when the two trials were examined as a conglomerate data set. Grouping genetic variations through common pathway approaches using gene set enrichment analysis, as well as clustering or partitioning algorithms, further improve the value of the SNPs as potential prognostic markers of survival outcomes. These results and statistical approaches will be presented, and represent steps toward identifying patient variations in biologic mechanisms important in predicting therapeutic outcomes.
Primary Therapy with Bortezomib—the Role of Induction, Maintenance, and Re-Induction in Patients with High Risk Myeloma. Update of Results from E2A02.
Jacobus, Susanna , Vesole, David H., Greipp, Philip R., Dispenzieri, Angela , Rajkumar, S. Vincent

Blood | April 19, 2020 | Volume: 112 | Issue: 11 | Pages: 1738-1738

10.1182/blood.v112.11.1738.1738 Get It

Abstract Title: Primary Therapy with Bortezomib—The Role of Induction, Maintenance, and Re-Induction in Patients with High Risk Myeloma. Update of Results from E2A02. Angela Dispenzieri, MD1, Susanna Jacobus, PhD2, David Vesole, MD3 and Philip R. Greipp, MD1. 1Hematology, Mayo Clinic, Rochester, MN, United States, 55905 and 2Biostatistics, Eastern Cooperative Oncology Group, Boston, MA, United States, 02115. 3Saint Vincent’s Hospital, New York, NY 10010 Background: Single agent bortezomib as upfront therapy in patients with multiple myeloma (MM) results in response rates of 38% and the drug has been touted to be especially effective in patients with high risk disease. We sought to explore response rate, the role of maintenance and reinduction in a cohort of patients with high-risk MM. Methods: Patients with newly diagnosed high-risk myeloma (beta-2 microglobulin [B2M] &gt;= 5.5., plasma cell labeling index [PCLI] &gt;= 1, or deletion 13q) and adequate organ and functional status were eligible. Patients were treated with bortezomib 1.3 mg/m2 day 1, 4, 8, and 11 every 21 days for 8 cycles as induction. After induction, patients were scheduled to receive bortezomib 1.3 mg/m2 every other week indefinitely. Elective peripheral stem cell mobilization (growth factor alone) was allowed after 4 cycles of bortezomib. Patients relapsing on maintenance schedule had full induction schedule resumed. Responses as defined by the EBMT criteria were determined after each cycle and needed to be confirmed after at least 6 weeks. Results: Between March 15, 2004 and March 10, 2005, 44 patients enrolled on study. Among the 42 eligible treated patients, median age was 63; 51% were male. All patients had high risk disease: deletion 13q (6/41); PCLI &gt;=1% (17/33); t(4:14) (4/27) and B2M &gt;= 5.5 (34/43). Nineteen patients completed induction, i.e. 8 cycles of bortezomib. The most common causes for discontinuing therapy were: progressive disease (n=17), AE (n=7), alternate therapy (n=4), death (n=1), and other (n=11). Forty-eight percent of patients achieved a partial response (PR) or better with induction (0 complete responses, 2 very good PR, 17 PR, 3 minimal responses, 5 no response, 9 progressive disease, and 6 inevaluable or missing). Response rates across risk groups did not differ with a PR or better for patients with deletion 13q (2/6); PCLI &gt;=1% (8/17); t(4:14) (2/4) and B2M &gt;= 5.5 (15/33). One patient’s response was upgraded to CR during maintenance. The rate of painful peripheral neuropathy during all courses of therapy was: grade 1, n=25; grade 2, n=2; and grade 3, n=2. With a median follow-up of 41.6 months (95%CI 36.6–43), 43% of patients have died. Median overall survival (OS) has not been reached (Figure), and the 1- and 2-year OS rates were 88.1% (95%CI 73.7–94.9%) and 76.2% (95%CI 60.3–86.4%) respectively. The median progression free survival (PFS) was 16.3 months (95%CI 6.2–26.6) and the 1- and 2-PFS were 76.7% (95%CI 58.8–87.6%) and 38.3% (95%CI 20.6–55.9%), respectively. Fifteen patients went on to maintenance. The distribution by risk group for patients entering maintenance was not different across groups: deletion 13q, 3/6; high PCLI, 6/17; high B2M, 11/33; t(4;14), 1/4; and p53, 0/2. For those entering maintenance, the median PFS was 19.8 months (Figure), and the 1 year PFS rate was 75% (95%CI 40.8–91.2%). Of the 7 patients progressing on maintenance who received reinduction with bortezomib, no patient responded. Only 2 remain on therapy. Figure Figure Conclusions: In high risk patients, upfront bortezomib results in response rates comparable to those reported for unselected cohorts of newly diagnosed myeloma patients. For patients responding to therapy, maintenance therapy is feasible. Reinduction was unsuccessful in high risk patients failing maintenance.