Citations

522 Background: Metformin inhibits mTOR and downstream pathways involved in cell proliferation and survival by inducing AMPK activation. Although its use has been associated with decreased risk of colorectal cancer (CRC), the effect of metformin on cancer related mortality is unclear. We performed a meta-analysis of published observational studies evaluating metformin use in patients with CRC and its association with overall and CRC-specific survival. Methods: Through a systematic search of PubMed and conference presentations (cut-off: August 2013), we identified 8 observational studies (18,537 total patients with CRC; 6242 CRC patients with DM) reporting the association between metformin use and survival after diagnosis of CRC. Summary hazard ratio (HR) with 95% confidence intervals (CI) was estimated using the random effects model, and heterogeneity was measured using the inconsistency index (I2). Results: On meta-analysis, metformin use was associated with a 34% reduction in mortality in CRC patients as compared to non-use (adjusted HR, 0.66; 95% CI, 0.54-0.81), albeit with high heterogeneity (I2=66.9%). After exclusion of one study, which contributed to considerable heterogeneity, a 28% reduction in mortality was considered a more conservative, consistent effect estimate (adjusted HR, 0.72; 95% CI, 0.64-0.81), with minimal heterogeneity (I2=16.2%). On restricting analysis only to patients with DM, use of metformin (vs non-use) was associated with decreased all-cause mortality (6 studies; adjusted HR, 0.63; 95% CI, 0.49-0.81) and CRC-specific mortality (3 studies; adjusted HR, 0.66; 95% CI, 0.50-0.87). Conclusions: Based on meta-analysis of observational studies, the use of metformin in diabetic patients with CRC appears to be associated with reduced all-cause mortality and CRC-specific mortality. Further prospective investigation of metformin’s effect on outcome in CRC patients is warranted.

311 Background: Previous population-based studies have shown variations in disease incidence and overall survival (OS) among multiple myeloma (MM) patients (pts) from different ethnic and racial backgrounds. However, the impact of race and ethnicity on early mortality (EM) or death in the first year after the diagnosis of MM is less well known. Methods: Pts with MM diagnosed from 2000-2011 were identified in the NCDB. We obtained data associated with socio-demographics, type and location of care facility, as well as the use of autologous stem cell transplant (ASCT) as an initial treatment option. Two cohorts were created based on the use of ASCT: 1) The group who received an upfront ASCT and 2) Pts who were 75 years or older who are unlikely to have ever received an ASCT. The rate of early mortality (EM) was estimated using the 1-year OS and assessed for all pts based on racial/ethnic background and the use of ASCT in their therapy. Results: There were a total of 108,352 pts who were included in this analysis. The median age of this cohort was 65 years (Range: 20 – 90). Of these 58,223 (54%) were male. The racial distributions of these cohorts were as follows: 78,589 (73%) White non-Hispanic (WNH), 21,292 (20%) Black non-Hispanic (BNH), 1,943 (2%) Asian Pacific-Islander (API), 293 (< 1%) Native-American (NA) and 6,235 (5%) Hispanics-any race (HIS). The estimated 1-yr OS (95% CI) was 71% (71 – 72) for WNH, 74% (73 – 74) for BNH, 77% (75 – 79) for API, 73% (68 – 78) for NA and 75% (74 – 76) for HIS. Amongst patients who received an upfront ASCT, the estimated 1-yr OS (95% CI) was 97% (97 – 98) for WNH (Reference), 98% (97 – 98) for BNH (P = 0.99), 99% (99 – 100) for API (P = 0.96) and 98% (97 – 99) for HIS (P = 0.99). Whereas amongst pts who likely never received an ASCT (75 years or older), the estimated 1-yr OS (95% CI) was 55% (54 – 56) WNH (Reference), 57% (56 – 59) for BNH (P = 0.03), 62% (58 – 67) for API (P = 0.02), 55% (43 – 72) for NA (P = 0.99) and 55% (52 – 58) for HIS (P = 0.99). Conclusions: In general, WNHs have a worse 1-yr OS compared to BNH and API. However, this disparity appears significant only among pts unlikely to get an ASCT. Further studies are required to identify explanations for such disparate outcomes based on race and use of ASCT.

659 Background: Prospective survival prediction of patients with metastatic colorectal cancer is difficult. Prognosis estimation based on readily available clinicopathologic factors has the potential to inform clinical practice and improve risk stratification for clinical trials. We constructed prognostic nomograms for OS and PFS in mCRC using the multi-trial ARCAD database. Methods: Data from 19,678 mCRC pts accrued to 24 first line randomized phase III clinical trials since 1997 were used to construct and validate Cox models for PFS and OS, stratified by treatment arm within each study. Candidate variables included age, gender, BMI, performance status, colon vs. rectal cancer, prior chemotherapy, number of metastatic sites, sites of metastases (liver, lung, lymph nodes), and baseline bilirubin, albumin, white blood cell count, hemoglobin, platelets, absolute neutrophil count, and derived neutrophil:lymphocyte ratio (dNLR). Missing data (<11%) were imputed, continuous variables modeled with splines, and clinically relevant pairwise interactions considered if p<0.001. Final models were internally validated via bootstrapping to obtain optimism-corrected calibration and discrimination C-indices, and externally validated using a 10% holdout sample from each trial. Results: Nomograms for OS and PFS including remaining variables were well calibrated with C-indices of 0.66 and 0.60, respectively. Evaluation of external validity revealed good concordance; 71% and 67% respectively between predicted (> vs. <50% probability) and actual (yes/no) 1-year OS and 6-month PFS, and median 1-year OS and 6-month PFS predictions fell within the actual 95% Kaplan-Meier intervals. Gender, liver and lung metastases, and dNLR were not prognostic for OS; prior chemo, colon vs. rectum, dNLR, liver and lymph node metastases, and gender did not predict for PFS. No clinically relevant pairwise interactions were identified. Conclusions: The proposed nomograms are well calibrated and internally and externally valid. These tools have the potential to aid prognostication and patient/physician communication, and balance risk in randomized trials in mCRC.

AbstractPatients with light chain amyloidosis (AL) often have delayed diagnosis and present with significant symptomatology; this may result in decreased quality of life (QOL). We prospectively employ a “Hematology Patient Reported Symptom Screen” (HPRSS), which is three questions about fatigue, pain, and QOL, scored 0–10. The aim of this study is to better understand QOL and determine if HPRSS parameters predict for clinical outcomes. From 2009 to 2014, 302 newly diagnosed AL patients were included. Baseline median scores [interquartile range] for fatigue, pain, and QOL were 6 [3,7], 2 [0,5], 5 [3,8], respectively. Median overall survival was 53 months, with 102 (34%) deaths in the first year. There were significant differences in baseline HPRSS between those that lived longer than one year and early death patients in the domains of fatigue (5 [IQR 3, 7] vs. 7 [IQR 5, 8], P < 0.0001) and QOL (6 [IQR 4, 8] vs. 5 [IQR 3, 7], P = 0.006). On univariate analysis fatigue, QOL, physician‐reported performance status, autologous stem cell transplant (ASCT), and Mayo stage were prognostic for survival. On multivariate analysis Mayo stage, ASCT, and baseline fatigue remained independently prognostic. When analyses were restricted to the 125 patients with HPRSS measurements at 12 months, we found that over time QOL scores improved significantly 6 [IQR 3.5, 8] → 7 [IQR 5, 8] (P = 0.01). Asking AL patients to rate their fatigue and QOL has predictive value. Baseline patient reported fatigue is an independent prognostic factor for survival. Survival at one year was associated with significant improvement in QOL.

Key Points Significant improvement in outcome is a reality for newly diagnosed AL amyloidosis in the past decade. Six-month mortality among transplant ineligible patients has declined since 2005.

A preclinical study demonstrated anti‐proliferative and apoptotic effect of propranolol on multiple myeloma (MM) cell. Clinical studies suggested that beta‐blocker (BB) might impact the prognosis of breast, prostate, colorectal, ovarian, lung, and skin cancer. This retrospective study evaluated the effect of BB in MM disease‐specific survival (DSS) and overall survival (OS). Among 1,971 newly diagnosed MM patients seen at Mayo Clinic between 1995 and 2010, usage of BB and other cardiac (or antihypertensive) medications were abstracted. Cumulative incidence function and Kaplan–Meier method were used to estimate 5‐year cumulative incidence rate (CIR) of MM death and OS rate, respectively. Nine hundred and thirty (47.2%) patients had no intake of cardiac medications; 260 (13.2%) used BB alone; 343 (17.4%) used both BB/non‐BB cardiac medications; and 438 (22.2%) had non‐BB cardiac drugs. Superior MM DSS was observed in BB only users, compared to patients without any cardiac drugs ( , 0.53, 95% confidence interval [CI], 0.42–0.67, Padj.<0.0001) and non‐BB cardiac drugs users ( , 0.49, 95% CI, 0.38–0.63, Padj.<0.0001). Patients on both BB and other cardiac drugs showed superior DSS than non‐cardiac drugs users ( , 0.54, 95% CI, 0.44–0.67, Padj.<0.0001) and non‐BB cardiac drug users. ( , 0.50, 95% CI, 0.40–0.62, Padj.<0.0001). MM DSS did not differ between BB users with and without other cardiac drugs (Padj.=0.90). Multivariable analysis showed the same pattern for OS. In patients with MM, BB intake is associated with a reduced risk of disease‐specific death and overall mortality in comparison to non‐BB or no use of cardiac drugs. Am. J. Hematol. 92:50–55, 2017. © 2016 Wiley Periodicals, Inc.

Key PointsThe monotypic and polytypic PC compartments assessed by MFC are prognostic in AL amyloidosis. MFC may play a role in the definition of hematologic response to treatment.

Key Points The combination of ixazomib and dexamethasone has clinical activity in patients with relapsed and or refractory multiple myeloma. Higher dose of ixazomib leads to improved response rates but with higher rates of treatment related adverse events.