Al‐Hamadani, Mohammed

Abstract Background: Anaplastic large cell lymphoma (ALCL) of the breast is a recently described clinicopathologic entity, almost always associated with breast implants, and does not overexpress the anaplastic lymphoma kinase (ALK) protein. Using the two largest US cancer databases, we describe its incidence, patterns of care, and clinical outcome. Methods: Incidence rate was calculated using 2000-2011 data from the Surveillance, Epidemiology, and End Results (SEER) Program and age-adjusted to the US 2000 standard population. For patient level data, we used the National Cancer Data Base (NCDB) Participant User File. We included all adult patients diagnosed from 1998-2011 with ALCL (ICD-O-3: 99714) who had breast as the primary site. Results: The incidence of breast ALCL was 0.001 per million. We identified 61 cases from NCDB. All of the patients were females and they were predominantly White (88.5%). The median age at diagnosis was 64 years (range, 18-90). The stage distribution was I (45.9%), II (21.3%), III (0%), IV (9.8%), and unknown (21.3%). The pattern of initial treatment was surgery alone (13.1%), chemotherapy alone (32.7%), chemotherapy and radiation (19.7%), surgery and chemotherapy (4.9%), surgery and radiation (4.9%), and tri-modality treatment (13.1%). In 7 patients (11.5%), no treatment was given. Two patients (1.6%) received stem cell transplant (1 autologous, 1 allogeneic) as part of initial treatment, one after chemotherapy and another one after surgery and chemotherapy. Overall survival data was available for patients diagnosed in 1998-2006 (29 patients). The median overall survival was 149.8 months (range, 2.6-157.9). Conclusions: ALCL of the breast is very rare. It presents mainly as early stage disease with very good prognosis. The patterns of care varied, although most patients received chemotherapy as part of the initial treatment. Table 1. Treatment type received Frequency Percent Cumulative Frequency Cumulative Percent Chemo only 20 32.79 20 32.79 Surgery only 8 13.11 28 45.90 Chemo, Radiation, No surgery 12 19.67 40 65.57 Chemo, Surgery, No radiation 3 4.92 43 70.49 Radiation, Surgery, No Chemo 3 4.92 46 75.41 All three combined 8 13.11 54 88.52 Nothing 7 11.48 61 100.00 Disclosures Parsons: Celgene: Speakers Bureau.

Abstract Introduction Long-term survivors in multiple myeloma (MM), described as those surviving >10 years since their diagnosis, are uncommon. There is paucity of data describing this subgroup of patients and how they differ clinically from the rest. Methods Patients with MM diagnosed from 1998 to 2000 were identified in the National Cancer Data Base (NCDB). We obtained data associated with socio-demographics, type and location of care facility, as well as the use high dose chemotherapy/autologous stem cell transplant (ASCT) as initial treatment option. Four cohorts were created based on overall survival (OS): subgroup 1 (OS: < median); subgroup 2 (OS: median to 2X-median), subgroup 3 (OS: 2X-median to <10 years) and subgroup 4 (OS: >10 years). Results There were 27,987 MM patients. The median OS for the whole group was 26.7 months. Among them, 2,196 (7.9%) were long-term survivors. Subgroups 1, 2, and 3 comprised 54.8%, 19.0%, and 18.3% of the remaining patients, respectively. Majority were males (54.3%) with a mean age at diagnosis of 67.2 years (range, 19-90). Compared to the other subgroups (1/2/3), the long-term survivor subgroup had a significantly higher proportion of patients with high educational level (37.8% vs 28.4%/31.6%/33.9%; P < 0.001), high annual household income (41.5% vs 31.0%/34.2%/36.4%; P < 0.001), residence in a metro area (79.2% vs. 77.8%/78.7%/78.3%).; P=0.003), initial treatment at an academic center (46.6% vs 28.1%/34.6%/39.0%; P < 0.001), and had ASCT as part of initial therapy (16.5% vs 2.5%/6.4%/10.9%; P < 0.001). Multivariable analyses showed that younger age, non-Black race, lower educational level, non-Medicare/Medicaid primary payor, treatment at academic centers, and receipt of ASCT as part of initial treatment were significant independent predictors of survival > 10 years. In contrast, sex, ethnicity, type or geographic location of residence, and median annual household income were not significant. Conclusions In the US, approximately 1 in 13 MM patients diagnosed in 1998-2000 are long-term survivors. There are disparities in long-term outcomes according to socio-demographic characteristics, type of treatment facility, and receipt of ASCT as part of initial therapy. Disclosures: No relevant conflicts of interest to declare.

Abstract Background: Non-Hodgkin lymphoma (NHL) is a relatively uncommon cancer with annual incidence of ~70,000 cases but with over 50 distinct subtypes. The goal of this study was to determine the extent to which the number of NHL patients treated annually in a facility (facility volume) affects overall survival (OS). This study used the National Cancer Data Base (NCDB), a nationwide oncology database covering 70% of the US cancer population, to address this question. Methods: We used the NCDB to identify patients with NHL diagnosed from 1998 to 2006. Year 2006 was used as a cut-off in order to allow a minimum of five years of follow-up for all patients. Only patients treated at facilities with continuous annual reporting to NCDB were included. We classified treatment facilities by quartiles based on facility volume (mean patients/year): Quartile 1 (Q1: 2-13), Quartile 2 (Q2: 14-20), Quartile 3 (Q3: 21-32) and Quartile 4 (Q4: ≥33). We used Pearson correlation methods to examine collinearity, unadjusted Kaplan-Meier methods to estimate OS rates, log rank test to compare survival distributions, and multivariable Cox proportional hazards model to examine the associations between hospital volume and OS adjusting for other covariates of interest. We also included random effects for hospital to more fully adjust for clustering of outcomes within hospitals. To examine non-linear effects of hospital volume, we utilized smoothing splines. Results: There were 278,985 NHL patients cared for at 1,151 facilities. The distribution of patients according to facility volume was Q1 (10.7%), Q2 (13.5%), Q3 (23.3%) and Q4 (52.5%) and according to facility type was academic (31.2%), comprehensive community (55.9%), community (10.6%) and other (2.3%) centers. The unadjusted median OS by facility volume was: Q1: 61.8 months, Q2: 65.9 months, Q3: 71.4 months and Q4: 83.6 months. After multivariable analysis adjusting for demographic (sex, age, race, ethnicity), socioeconomic (income, insurance type), geographic (area of residence), disease-specific (NHL subtype, stage) and facility-specific (type and location) factors, we show that facility volume remains an independent predictor of all-cause mortality. Compared to patients treated at Q4 facilities, patients treated at lower quartile facilities had a worse OS (Q3HR: 1.05 [95% CI, 1.04-1.06]; Q2HR: 1.08 [1.07-1.10]; Q1HR: 1.14 [1.11-1.17]). We adjusted for hospital as a random effect, performed sensitivity analyses removing primary payor and facility type (due to collinearity with age and facility volume, respectively), and adjusted for Charlson-Deyo co-morbidity score (available only for patients diagnosed after 2003) in secondary models and found similar results. Using smoothing splines, we found a significant non-linear effect of hospital volume on OS (P &lt;0.001). This is depicted in the Figure wherein the hazard ratio of 1.0 corresponded to the average predicted hazard, which occurred at a hospital volume of 59 patients per year. Conclusions: Patients who were treated for NHL at higher volume facilities had longer OS than those who were treated at facilities with a lower volume. This is the first study in the US using a national sample to show that a volume-outcome relationship exists in the medical management of cancer. Figure 1. Figure 1. Disclosures No relevant conflicts of interest to declare.

Abstract Background: Enteropathy-associated T-cell lymphoma (EATL) is a very rare primary intestinal non-Hodgkin lymphoma (NHL) strongly associated with celiac disease. Previous studies suggest that EATL may be more common in Europe and among white population, in which celiac disease is a prevalent condition. However, comparative racial epidemiologic study of EATL in a large population is lacking and clinical studies remain limited to small series. Using two U.S. population databases, we determined the comparative incidences according to race and described the clinical features and outcome of the largest series of EATL reported to date. Methods: Incidence rates (case/1,000,000) were calculated using 2000-2010 data from the Surveillance, Epidemiology, and End Results (SEER) Program and age-adjusted to the U.S. 2000 standard population. Patient level data were obtained from the National Cancer Data Base (NCDB) Participant User File and analyzed for demographic patterns and stage distribution (1998-2011) as well as overall survival (1998-2006). SEER, a program of the U.S. National Cancer Institute, collects cancer incidence and survival data from population-based cancer registries covering approximately 28 percent of the U.S. population. NCDB, a joint program of the American College of Surgeons and the American Cancer Society, is a nationwide oncology outcomes database for more than 1,500 cancer programs in the U.S. and Puerto Rico capturing about 70% of all newly diagnosed cases of cancer in the U.S. Results: In the years 2000-2010, the overall incidence rate of EATL in the U.S. population was 0.111. Asians/Pacific Islanders had a higher incidence rate (0.236) compared to other races (whites [0.101], blacks [0.107], American Indians/Alaska natives [0.128]). The risk ratio of Asians compared to non-Asians was 2.32 (95% CI: 1.39-3.69; P =0.002). From 1998-2011, 515,026 patients were diagnosed with NHL and 337 (0.07%) had EATL. The median age was 64 years (range, 20 -90+ years) and 60% of patients were males. The stage distribution was as follows: I (26.7%), II (16.3%), III (3.3%), IV (29.1%), and unknown (24.6%). The median overall survival (OS) for the entire cohort was 5.9 months. Patients diagnosed in the more recent era (2003-2006) had a better outcome (median OS, 6.6 versus 2.6 months; Figure 1; P = 0.034). Asians/Pacific Islanders had a worse outcome compared to other races (Figure 2; P = 0.031). Multivariable analysis showed the following to be independent factors associated with inferior OS: age >60 years (HR: 1.49; 95% CI: 1.05-2.10), Asians/Pacific Islanders (HR: 2.27; 95% CI: 1.08-4.76), stage III/IV (HR: 3.03; 95%CI: 2.00-4.59), and diagnosis before 2003 (HR: 1.59; 95%CI: 1.10-2.28). Conclusions: Contrary to previous studies, we find that the highest incidence and lowest survival rates of EATL occur among Asians/Pacific Islanders, populations in which celiac disease is not considered to be prevalent. The overall survival of EATL patients has improved over time but remains poor. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures No relevant conflicts of interest to declare.

BACKGROUNDPrior studies have shown that a higher hospital volume or physician caseload is associated with better outcomes for complex and uncommon surgical procedures. Similar studies in the medical management of rare diseases such as hematologic cancers are limited. This retrospective, observational study using the US National Cancer Data Base determined the extent to which the number of new non‐Hodgkin lymphoma (NHL) patients treated annually at a treatment facility affected overall survival (OS).METHODSThere were 278,985 patients treated at 1151 facilities from 1998 to 2006. Treatment facilities were classified by quartiles based on the average number of new NHL patients seen annually: quartile 1 (Q1), 2 to 13 patients; quartile 2 (Q2), 14 to 20 patients; quartile 3 (Q3), 21 to 32 patients; and quartile 4 (Q4), 33 or more patients. The outcome of interest was OS according to facility volume.RESULTSThe unadjusted median OS was 61.8 months for Q1, 65.9 months for Q2, 71.4 months for Q3, and 83.6 months for Q4. A multivariate analysis that was adjusted for demographic (sex, age, race, and ethnicity), socioeconomic (income and insurance type), geographic (area of residence), disease‐specific (NHL subtype and stage), and facility‐specific factors (type and location) showed that the facility volume was associated with OS. Compared with patients at Q4 facilities, patients at lower quartile facilities had higher mortality (hazard ratio for Q3, 1.05 [95% confidence interval, 1.04‐1.06]; hazard ratio for Q2, 1.08 [95% confidence interval, 1.07‐1.10]; hazard ratio for Q1, 1.14 [95% confidence interval, 1.11‐1.17]).CONCLUSIONSNHL patients treated at higher volume facilities may survive longer than those treated at lower volume facilities. Further work is needed to understand the mechanisms of these differences and whether volume should be considered in the determination of referrals for NHL patients. Cancer 2016;122:2552–9. © 2016 American Cancer Society.

The World Health Organization classification of non‐Hodgkin lymphoma (NHL) was introduced in 2001. However, its incorporation into clinical practice is not well‐described. We studied the distribution of NHL subtypes in adults diagnosed from 1998 to 2011, evaluated time trends, geo‐demographic correlates, and changes in 5‐year overall survival (OS). We obtained data prospectively collected by the National Cancer Data Base, which covers 70% of US cancer cases. There were 596,476 patients diagnosed with NHL. The major subtypes were diffuse large B‐cell (32.5%), chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL; 18.6%), follicular (17.1%), marginal zone (8.3%), mantle cell (4.1%), peripheral T‐cell not‐otherwise‐specified (1.7%), Burkitt (1.6%), hairy cell (1.1%), lymphoplasmacytic (1.1%), and NHL not‐otherwise‐specified (10.8%). Over the study period, the proportion of NHL not‐otherwise‐specified declined by half, while marginal zone lymphoma doubled. The distribution of major and rare NHL subtypes varied according to demographics but less so geographically or by type of treatment facility. We noted several novel findings among Hispanics (lower proportion of CLL/SLL, but higher Burkitt lymphoma and nasal NK/T‐cell lymphoma), Asians (higher enteropathy‐associated T‐cell and angioimmunoblastic T‐cell lymphomas), Blacks (higher hepatosplenic T‐cell lymphoma), and Native Americans (similar proportions of CLL/SLL and nasal NK/T‐cell lymphoma as Asians). With the exception of peripheral T‐cell not‐otherwise‐specified and hairy cell leukemia, 5‐year OS has improved for all the major NHL subtypes. Am. J. Hematol. 90:790–795, 2015. © 2015 Wiley Periodicals, Inc.

Very effective combination chemotherapy using novel agents has become available in multiple myeloma (MM). Its impact on the use of high‐dose chemotherapy and autologous hematopoietic stem cell transplantation (AHCT) as part of initial therapy is unknown. Using the National Cancer Data Base, we studied the rate of upfront AHCT use among 137,409 newly diagnosed MM patients from 1998 to 2010 in the United States and determined whether disparity exists among various sociodemographic as well as geographic subgroups. Overall, 12,378 (9.0%) patients received AHCT as part of initial treatment. The use of upfront AHCT increased steadily from 5.2% in 1998 to 12.1% in 2010 (trend test, P < 0.001), with no sign of plateau. This was seen across all socio‐geo‐demographic subgroups except among patients treated in the Northeast where the rate fell from 8.7% in 1998 to 6.6% in 2010. In multivariable analysis, patients with the following characteristics were the least likely to receive AHCT (odds ratio): year of diagnosis from 1998 to 2003 before the era of novel agents (0.67), older age (0.35), Black race (0.58), Hispanic ethnicity (0.78), low level of education or annual household income (0.55), residence in a metro area (0.66), no or unknown medical insurance (0.30), treatment at a community cancer center (0.16), and treatment facility located in the Northeast region (0.54). Even after the introduction of novel agents, the rate of upfront AHCT in MM continues to increase annually. Significant disparities exist dependent on demographic, social, and geographic factors. Am. J. Hematol. 89:825–830, 2014. © 2014 Wiley Periodicals, Inc.