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Lacy, Martha Q.

https://orcid.org/0000-0003-1193-1559

Mayo Clinic

Mayo Clinic

Citations 640

Waldenström Macroglobulinemia in the Very Elderly (≥75 years):Clinical Characteristics and Outcomes
Zanwar, Saurabh , Abeykoon, Jithma P. , Ansell, Stephen M. , King, Rebecca L. , He, Rong , Thompson, Carrie A. , Warsame, Rahma , Nowakowski, Grzegorz S. , Inwards, David J. , Lacy, Martha Q. , Kyle, Robert A. , Kumar, Shaji , Kapoor, Prashant , Gertz, Morie A. , Paludo, Jonas , Witzig, Thomas E. , Gonsalves, Wilson I. , Dispenzieri, Angela , Dingli, David , Go, Ronald S. , Habermann, Thomas M. , Rajkumar, S. Vincent

Blood | November 4, 2020 | Volume: 136 | Issue: Supplement 1 | Pages: 44-45

10.1182/blood-2020-142884 Get It

Background: Patients with Waldenström Macroglobulinemia (WM) tend to present at an older age. Frailty, resulting from comorbidities and reduced organ function, poses unique challenges to the management of WM in the elderly. Age above 65 years, is an established unfavorable prognostic factor in WM. However, data specifically pertaining to the very elderly patient population are scant. The impact of advanced age (≥75 years at diagnosis) on the clinical features and outcomes of patients with symptomatic/active WM were studied. Methods: Patients with active WM, evaluated at Mayo Clinic, Rochester between January 1996 and December 2018 were included in the study. The characteristics and laboratory parameters at presentation of the cohort of patients with the age ≥75 years were compared to those of the younger (age <75 years) cohort. The median follow-up and overall survival (OS) were assessed from active disease to last follow-up or death using the Kaplan Meier method. Because older age is a confounding factor for deaths from unrelated causes, the cause-specific survival (CSS) was calculated. Deaths were deemed WM-related if patients died from progressive disease, transformation with antecedent WM, concomitant light chain (AL) amyloidosis, infection associated with WM or anti-WM therapy related toxicity, while patients who died from other causes were considered to have a WM-unrelated death. The patients who died from causes unrelated to WM were censored at death for CSS analysis. The OS of the cohort of the very elderly patients was compared to that of a cohort of the general US population, matched for age, sex as well as follow-up from the calendar-year of diagnosis, to assess the degree to which WM impacts survival. Results: Among 949 consecutive patients, with a median follow-up of 8.4 years [95% Confidence Interval (CI): 7.7-9.3 years] from active disease, the median age at diagnosis was 65 years (range: 31-93 years). Of 177 patients (19%) who were ≥75 years of age at the onset of active WM, 173 (98%) received anti-WM therapy. The baseline characteristics of the 2 cohorts (patients ≥75 years of age versus <75 years) are outlined in Table 1. The patients in the age ≥75 years cohort were noted to have lower IgM levels and serum albumin, and higher serum LDH and serum β-2 microglobulin compared to the age <75 years cohort. A higher proportion of patients in the age <75 years cohort had coexisting AL amyloidosis at diagnosis. The frequency of MYD88L265P mutation was similar between the 2 cohorts (p=0.2). During the 23-year period, there was an increase in the proportion of patients ≥75 years who were diagnosed with active WM (12% during the 1996-2003 period, 18% during 2004-2010, 25% during 2011-2018; P<0.0001). In the elderly WM cohort, the most frequently used frontline treatment was rituximab monotherapy (36%), followed by rituximab-alkylating agent-based regimen (31%). Of 177 patients with age ≥75 years, 89 (50%) patients were deceased at the time of last follow-up and 58% (52/89) of all deaths in age ≥75 years were attributable to WM. By contrast, 303 (39%) out of the 772 patients in the age <75 years cohort were deceased at last follow-up, with 73% (224/303) deaths attributable to WM. The CSS for patients with age ≥75 years was 10.9 years (95% CI: 7.3-11.7 years) versus 14.7 years (95% CI: 13.2-15.7 years) for age <75 years [Risk ratio 2.1(95% CI: 1.5-2.8); p<0.0001]. At the 1 and 2 year follow-up, WM-related mortality was 6.8% and 11.9%, respectively, for patients with age ≥75 years versus 2.6% and 4.9%, respectively, for the younger cohort. The median OS of patients with age ≥75 years from the diagnosis of active WM was 5.9 years (95% CI: 4.2-7.3 years) compared to the OS of 8.3 years for an age, sex and calendar-year-matched cohort, derived from the general US population (p<0.001), Figure 1. Conclusion: Patients who are ≥75 years of age at the time of diagnosis of active WM present with certain poor prognostic features, including higher serum LDH and β-2 microglobulin and lower serum albumin compared to their younger counterparts. The impact of advanced age is underscored by a poorer WM-specific survival for the subset of patients with the age ≥75 years compared to the younger cohort. Furthermore, although active/symptomatic WM is typically an indolent malignancy, it adversely affects OS of the very elderly patients as suggested by the comparison with an age, sex and calendar-year matched cohort of the general US population. Disclosures Ansell: Bristol Myers Squibb: Research Funding; Trillium: Research Funding; Affimed: Research Funding; Regeneron: Research Funding; ADC Therapeutics: Research Funding; Seattle Genetics: Research Funding; AI Therapeutics: Research Funding; Takeda: Research Funding. Gertz:Ionis/Akcea: Other: personal fee; Alnylam: Other: personal fee; Prothena: Other: personal fee; Spectrum: Other: personal fee, Research Funding; Annexon: Other: personal fee; Appellis: Other: personal fee; Amgen: Other: personal fee; Medscape: Other: personal fee, Speakers Bureau; Physicians Education Resource: Other: personal fee; Abbvie: Other; Celgene: Other; Research to Practice: Other; Sanofi: Other; Teva: Speakers Bureau; Johnson and Johnson: Speakers Bureau; DAVA oncology: Speakers Bureau; Proclara: Other; Springer Publishing: Patents & Royalties; Aurora Bio: Other; Janssen: Other: personal fee. Nowakowski:NanoString: Research Funding; Seattle Genetics: Consultancy; Curis: Consultancy; Kymera: Consultancy; Kite: Consultancy; Ryvu: Consultancy, Membership on an entity's Board of Directors or advisory committees; MorphoSys: Consultancy, Research Funding; Celgene/BMS: Consultancy, Research Funding. Witzig:Spectrum: Consultancy; Immune Design: Research Funding; Karyopharm Therapeutics: Research Funding; Acerta: Research Funding; Incyte: Consultancy; MorphSys: Consultancy; AbbVie: Consultancy; Celgene: Consultancy, Research Funding. Dispenzieri:Pfizer: Research Funding; Janssen: Research Funding; Intellia: Research Funding; Alnylam: Research Funding; Takeda: Research Funding; Celgene: Research Funding. Dingli:Sanofi-Genzyme: Consultancy; Janssen: Consultancy; Bristol Myers Squibb: Research Funding; Rigel: Consultancy; Apellis: Consultancy; Karyopharm Therapeutics: Research Funding; Alexion: Consultancy; Millenium: Consultancy. Kumar:Sanofi: Research Funding; Kite Pharma: Consultancy, Research Funding; Cellectar: Other; Genecentrix: Consultancy; Novartis: Research Funding; Karyopharm: Consultancy; Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding; AbbVie: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Takeda: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Carsgen: Other, Research Funding; Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Merck: Consultancy, Research Funding; MedImmune: Research Funding; Adaptive Biotechnologies: Consultancy; Tenebio: Other, Research Funding; Dr. Reddy's Laboratories: Honoraria; BMS: Consultancy, Research Funding; Janssen Oncology: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Celgene/BMS: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments. Kapoor:Cellectar: Consultancy; Janssen: Research Funding; Sanofi: Consultancy, Research Funding; Amgen: Research Funding; Takeda: Honoraria, Research Funding; GlaxoSmithKline: Research Funding; Celgene: Honoraria.
Outcomes of multiple myeloma patients with del 17p undergoing autologous stem cell transplantation
Vaxman, Iuliana , Kapoor, Prashant , Kumar, Shaji , Dingli, David , Muchtar, Eli , Gonsalves, Wilson I. , Rajkumar, S. Vincent , Kourelis, Taxiarchis , Warsame, Rahma , Lacy, Martha Q. , Visram, Alissa , Dispenzieri, Angela , Muchtar, E , Gonsalves, Wilson , Rajkumar, S Vincent , Kourelis, Taxiarchis , Warsame, Rahma , Lacy, Martha, Gertz, Morie A , Vaxman, Iuliana , Dingli, David , Dispenzieri, Angela , Buadi, Francis K. , Gertz, Morie A.

American Journal of Hematology | October 17, 2020 | Volume: 96 | Issue: 1 | Pages: No page available

10.1002/ajh.26023 Get It

Colon perforation in multiple myeloma patients – A complication of high‐dose steroid treatment
Vaxman, Iuliana , Kumar, Shaji , Mishra, Nitin , Dingli, David , Lacy, Martha Q. , Muchtar, Eli , Hobbs, Miriam, Fonder, Amie , Hwa, Yi L. , Kapoor, Prashant , Siddiqui, Mustaqeem , Lust, John A., Kyle, Robert A. , Hayman, Suzanne R. , Kourelis, Taxiarchis , Warsame, Rahma , Al Saleh, Abdullah S , Nitin, Mishra, Lacy, Martha, Muchtar, E , Hwa, Lisa, Visram, Alissa , Lust, John, Rajkumar, Vincent, Gertz, Morie A , Vaxman, Iuliana , Siddiqui, Mustaqeem A , Dingli, David , Saleh, Abdullah S. Al , Dispenzieri, Angela , Buadi, Francis K. , Rajkumar, S. Vincent , Leung, Nelson , Gonsalves, Wilson I. , Gertz, Morie A.

Cancer Medicine | October 6, 2020 | Volume: 9 | Issue: 23 | Pages: 8895-8901

10.1002/cam4.3507 Get It

Abstract Gastrointestinal complications of multiple myeloma (MM) treatment are common and include nausea, constipation, and diarrhea. However, acute gastrointestinal events like perforations are rare. We aimed to describe the characteristics and outcomes of patients with MM that had colonic perforations during their treatment. This is a retrospective study that included patients from all three Mayo Clinic sites who had MM and developed a colonic perforation. All patients were diagnosed with colonic perforations based on CT scans and were surgically treated. Patients diagnosed with AL amyloidosis, a perforated colon complicating neutropenic colitis during ASCT and those with perforation due to colonic cancer were excluded. A high dose of dexamethasone was defined as ≥40 mg dexamethasone once a week. Thirty patients met inclusion criteria. All patients received steroids at doses ≥10 mg once weekly prior to the perforation, while four (11%) were on high‐dose dexamethasone without chemotherapy. Fourteen patients were given high doses of dexamethasone. Twenty‐five patients required ostomies with all surviving surgery. Twenty‐four perforations (80%) were associated with diverticulitis. Treatment with steroids was resumed in 23 patients with no further gastrointestinal complications. The median OS was 20 months following perforation (IQR 8–59). Within the same timeframe 5854 patients were treated at Mayo Clinic for MM, making the risk of bowel perforation 0.5%. Intestinal perforations in MM are rare and, in our series, always occurred with dexamethasone ≥10 mg per week. Urgent surgery is lifesaving and resumption of anti‐myeloma treatment appears to be safe.
Implications of MYC Rearrangements in Newly Diagnosed Multiple Myeloma
Abdallah, Nadine , Kapoor, Prashant , Gertz, Morie A. , Lacy, Martha Q. , Hayman, Suzanne R. , Dingli, David , Hwa, Yi L. , Fonder, Amie , Hobbs, Miriam, Lin, Yi , Kourelis, Taxiarchis , Warsame, Rahma , Siddiqui, Mustaqeem , Lust, John A., Kyle, Robert A. , Bergsagel, Leif, Greipp, Patricia T. , Kumar, Shaji , Bergsagel, P. Leif , Bergsagel, P. Leif , Gertz, Morie A , Lust, John, Greipp, Patricia, Siddiqui, Mustaqeem A , Dingli, David , Greipp, Patricia T , Lin, Yi , Baughn, Linda B. , Rajkumar, S. Vincent , Dispenzieri, Angela , Buadi, Francis K. , Go, Ronald S. , Leung, Nelson , Ketterling, Rhett P.

Clinical Cancer Research | October 2, 2020 | Volume: 26 | Issue: 24 | Pages: 6581-6588

10.1158/1078-0432.ccr-20-2283 Get It

Abstract Purpose: Rearrangements involving the MYC protooncogene are common in newly diagnosed multiple myeloma, but their prognostic significance is still unclear. The purpose of this study was to assess the impact of MYC rearrangement on clinical characteristics, treatment response, and survival in patients with newly diagnosed multiple myeloma. Experimental Design: This is a retrospective study including 1,342 patients seen in Mayo Clinic in Rochester, MN, from January 2006 to January 2018, who had cytogenetic testing by FISH at diagnosis, including MYC testing using the break apart FISH probe (8q24.1). Results: A rearrangement involving MYC was found in 8% of patients and was associated with elevated β2-microglobulin, ≥50% bone marrow plasma cells, IgA multiple myeloma, and the cooccurrence of trisomies. There were no differences in overall response rates between patients with and without MYC rearrangement when induction chemotherapy was proteasome inhibitor (PI)-based, immunomodulatory drug (IMiD)-based or PI + IMiD-based. Overall survival was shorter in patients with MYC rearrangement compared with patients without MYC rearrangement (5.3 vs. 8.0 years, P < 0.001). MYC rearrangement was associated with increased risk of death on multivariate analysis when high-risk cytogenetic abnormalities, ISS stage III, and ≥70 years of age were included (risk ratio: 1.5; P = 0.007). Conclusions: MYC rearrangement is associated with high disease burden and is an independent adverse prognostic factor in patients with newly diagnosed multiple myeloma.
PET Imaging of a Unique Case of Multiple Myeloma in an Adolescent
Binkovitz, Larry A. , Sutton, Samuel L., Lacy, Martha Q.

Clinical Nuclear Medicine | September 30, 2020 | Volume: 45 | Issue: 9 | Pages: 730-731

10.1097/rlu.0000000000003200 Get It

Abstract Pediatric solitary plasmacytomas are extremely rare, with only 14 cases previously reported. None of these reports included PET imaging findings. We present PET/CT and PET/MRI imaging findings in a 15-year-old boy with what was initially thought to be a solitary plasmacytoma, which later developed into multiple myeloma. The initial PET/CT of solitary plasmacytoma, as well as postradiotherapy PET/MRI findings with the new lesions suggestive of multiple myeloma, are presented.
Impact of dexamethasone responsiveness on long-term outcome in patients with newly diagnosed myeloma
Sinha, Shirshendu , Lacy, Martha Q. , Hayman, Suzanne R. , Baudi, Francis K., Lust, John A., Kumar, Shaji , Rajkumar, S. Vincent , Dispenzieri, Angela , Greipp, Patricia T. , Gertz, Morie A.

Journal of Clinical Oncology | August 25, 2020 | Volume: 27 | Issue: 15_suppl | Pages: 8603-8603

10.1200/jco.2009.27.15_suppl.8603 Get It

8603 Background: Steroids, primarily dexamethasone (Dex), remains an integral part of the therapy for myeloma. Prior to the advent of novel agents, Dex as a single agent was demonstrated to produce overall response rates of around 50%. The toxicity associated with pulsed high dose Dex has led to this approach being abandoned. This study investigates whether responsiveness to Dex correlates with biological qualities of the plasma cell clone that predicts outcome. Methods: We identified from our prospectively maintained database, patients with newly diagnosed myeloma, who were seen at Mayo Clinic within 30 days of diagnosis and were treated with single agent Dex. The M-protein measurements and responses were assessed using the IMWG criteria. Results: 182 patients seen between March 1998 and June 2007, initially treated with single agent Dex for at least 4 weeks, were included in the analysis. The median age at diagnosis was 63 (range; 39–81) and 59% were male. The actuarial median survival for the entire group was 55 months. The median duration of Dex therapy was 15 weeks (range; 4–193). Ninety one (50%) had a partial response or better and 11 (6%) were not evaluable, with the remaining patients (44%) having less than PR or progression. 10 patients (5%) achieved a VGPR or CR. The median overall survival from diagnosis for the 91 responders was 75 months compared to 71 months for the remaining patients; p = 0.6. There was no correlation between baseline disease characteristics and Dex responsiveness. One hundred thirty (70%) patients proceeded to an autologous SCT after a median of 15 weeks (range 1–46 months) of Dex. While the median overall survival was longer among the group of patients who underwent SCT, among either group, there were no survival benefit between those with a PR or better to Dex compared to the rest. Conclusions: Among this group of patients with newly diagnosed myeloma treated with single agent Dex, failure to respond to Dex induction therapy did not impact overall survival. Failure to respond to single agent steroid does not have an adverse impact on outcome in newly diagnosed myeloma. [Table: see text]
Natural history of multiple myeloma (MM) relapsing after autologous stem cell transplantation (ASCT)
Madan, Sumit , Lacy, Martha Q. , Hayman, S. R., Kumar, Santosh , Dispenzieri, Angela , Buadi, Francis K. , Dingli, David , Rajkumar, S. Vincent , Gertz, Morie A.

Journal of Clinical Oncology | August 25, 2020 | Volume: 27 | Issue: 15_suppl | Pages: e19513-e19513

10.1200/jco.2009.27.15_suppl.e19513 Get It

e19513 Background: The outcome of patients with MM relapsing after ASCT used early in the disease course or after failure of initial therapy, is not well defined. We undertook this study to understand treatment approaches for patients relapsing after single ASCT. Methods: Patients relapsing after single ASCT were identified from a prospectively maintained database and relevant clinical data were extracted from medical records. Relapse and treatment responses were according to IMWG Uniform Response Criteria. Patients relapsing between Jan 2000 and 2008 were included in order to capture a recent cohort contemporaneous to availability of novel drugs. Results: We studied 487 patients who had relapsed following a single ASCT, of whom 351 (72%) had an early SCT (≤ 12 mos from diagnosis). The median estimated follow up for all patients was 27 mos, 50 mos and 69 mos from relapse, SCT and diagnosis respectively. The median overall survival (OS) from the time of relapse was 30 mos for the early SCT group and 21 months for the late SCT group. The median time to relapse following transplant was 15 mos (3–119) among early SCT group and 12 mos (3–76) among the late SCT group. Longer time to relapse as well as longer time from relapse to initiation of therapy were independent predictors of better outcome. Among the early group, nearly a third of the patients achieved a PR or better to first salvage therapy (Table), with another third achieving stable disease and 25% of patients did not have response data. The median progression free survival for the first salvage regimen was 8 mos; 18 mos for those with PR or better and 5 mos for those with SD as the best response. Data on the regimen 2, 3, 4, 5, and 6 were available for 211, 133, 84, 53 and 28 patients respectively. As expected, the response rates and the response duration decreased with increasing number of relapses. Conclusions: Patients relapsing after ASCT can obtain prolonged response duration with the currently available treatments. Those with a durable response to transplant and those not requiring initiation of therapy for long periods after disease relapse have favorable disease biology and have prolonged survival after relapse. The natural history of the disease provides a valuable benchmark for evaluation of newer treatment approaches. No significant financial relationships to disclose.
Clinical characteristics and treatment outcomes of newly diagnosed multiple myeloma with chromosome 1q abnormalities
Abdallah, Nadine , Greipp, Patricia T. , Kapoor, Prashant , Gertz, Morie A. , Lacy, Martha Q. , Hayman, Suzanne R. , Buadi, Francis K. , Dingli, David , Hwa, Yi L. , Fonder, Amie , Hobbs, Miriam, Lin, Yi , Kourelis, Taxiarchis , Warsame, Rahma , Siddiqui, Mustaqeem , Lust, John A., Kyle, Robert A. , Bergsagel, Leif, Kumar, Shaji , Bergsagel, P. Leif , Bergsagel, P. Leif , Gertz, Morie A , Buadi, Francis K , Siddiqui, Mustaqeem A , Dingli, David , Greipp, Patricia T , Lin, Yi , Dispenzieri, Angela , Baughn, Linda B. , Go, Ronald S. , Leung, Nelson , Ketterling, Rhett P. , Rajkumar, S. Vincent

Blood Advances | August 4, 2020 | Volume: 4 | Issue: 15 | Pages: 3509-3519

10.1182/bloodadvances.2020002218 Get It

Abstract A gain in chromosome 1q (+1q) is among the most common cytogenetic abnormalities in multiple myeloma (MM). It is unclear whether +1q is independently associated with decreased overall survival (OS). The objective of this study was to evaluate the impact of +1q on clinical characteristics, treatment response, and survival outcomes. We included 1376 Mayo Clinic patients diagnosed with MM from 2005 to 2018 who underwent fluorescence in situ hybridization testing at diagnosis with a panel including the +1q probe. A gain in 1q was found in 391 patients (28%) and was associated with anemia, hypercalcemia, high tumor burden, International Staging System (ISS) stage 3, high-risk (HR) translocations, and chromosome 13 abnormalities. There was no difference in overall response or deeper responses to proteasome inhibitor (PI)–, immunomodulatory drug (iMiD)–, or PI plus IMiD–based induction. Time to next treatment was shorter in patients with +1q compared with those without +1q (19.9 vs 27.7 months; P < .001). On univariate analysis, +1q was associated with increased risk of death (risk ratio [RR], 1.9; P < .001), and decreased OS was seen in all treatment groups. +1q was independently associated with decreased OS on multivariate analysis when other HR cytogenetic abnormalities, ISS stage 3, and age ≥70 years were included (RR, 1.5; P < .001). Gain of >1 copy of 1q was not associated with worse OS compared with gain of 1 copy (4.9 vs 4.3 years; P = .21). +1q was associated with high tumor burden, advanced disease stage, and HR translocations. It is independently associated with decreased OS, even in the setting of novel therapy and transplant.