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Background The association among gallbladder disease, cholecystectomy, and pancreatic cancer is unclear. Moreover, time interval between gallbladder disease or cholecystectomy and pancreatic cancer diagnosis is not considered in most previous studies. Aim To quantify the association among gallbladder disease, cholecystectomy, and pancreatic cancer, considering time since first diagnosis of gallbladder disease or cholecystectomy. Methods We used data from nine case-control studies within the Pancreatic Cancer Case-Control Consortium, including 5760 cases of adenocarcinoma of the exocrine pancreas and 8437 controls. We estimated pooled odds ratios and the corresponding 95% confidence intervals by estimating study-specific odds ratios through multivariable unconditional logistic regression models, and then pooling the obtained estimates using fixed-effects models. Results Compared with patients with no history of gallbladder disease, the pooled odds ratio of pancreatic cancer was 1.69 (95% confidence interval, 1.51–1.88) for patients reporting a history of gallbladder disease. The odds ratio was 4.90 (95% confidence interval, 3.45–6.97) for gallbladder disease diagnosed <2 years before pancreatic cancer diagnosis and 1.11 (95% confidence interval, 0.96–1.29) when ≥2 years elapsed. The pooled odds ratio was 1.64 (95% confidence interval, 1.43–1.89) for patients who underwent cholecystectomy, as compared to those without cholecystectomy. The odds ratio was 7.00 (95% confidence interval, 4.13–11.86) for a surgery <2 years before pancreatic cancer diagnosis and 1.28 (95% confidence interval, 1.08–1.53) for a surgery ≥2 years before. Conclusions There appears to be no long-term effect of gallbladder disease on pancreatic cancer risk, and at most a modest one for cholecystectomy. The strong short-term association can be explained by diagnostic bias and reverse causation.

Abstract Mantle-cell lymphoma (MCL) is characterized by an aggressive clinical course and poor prognosis with a median survival of only 3 to 4 years. High dose chemotherapy followed by autologous stem cell transplantation (ASCT) is an effective treatment strategy for MCL demonstrating significantly prolongs progression free survival (PFS) when compared to IFNa maintenance therapy of patients in first remission. We have previously shown that absolute lymphocyte count at day 15 (ALC-15) after ASCT is an independent prognostic factor for survival in hematologic malignancies (non-Hodgkin’s lymphoma (NHL), Hodgkin’s disease, multiple myeloma, primary amyloidosis, acute myelogenous leukemia) and breast cancer. The study of ALC-15 after ASCT as a prognosis factor in NHL included different subtypes of lymphomas. The relationship of ALC-15 after ASCT in patients with MCL has not been specifically addressed. Herein we present data evaluating the impact of early lymphocyte recovery (ALC-15) in patients undergoing ASCT for MCL. We retrospectively reviewed the medical records of 42 consecutive patients (9 females and 33 males) with MCL who underwent ASCT at the Mayo Clinic in Rochester from 1993 to 2005. Based on our previous studies, the ALC-15 threshold was set at 500 cells/μL. The median patient age at transplant was 57 years (range, 37–71) and the median follow-up after ASCT was 25 months (range, 2–106 months). The median overall (OS) and PFS times were significantly better for the 24 patients that achieved an ALC-15 ≥ 500 cells/mL compared with 18 patients with ALC-15 &lt; 500 cells/μL (not reached versus 30 months, P &lt; 0.01 and not reached versus 16 months, P &lt; 0.0006, respectively). Multivariate analysis adjusting for other prognostic factors suggests that ALC-15 is an independent prognostic factor for OS and PFS. ALC-15 ≥ 500 cells/mL is associated with significantly improved clinical outcomes following ASCT in patients with MCL.

Abstract The proposed immune-mediated mechanisms of action of Rituximab (ADCC or “vaccinal” effect) suggest that the efficacy of rituximab therapy depends on the immunocompetency of the host. Therapies, such as IL-12, that stimulate the immune system may increase the efficacy of rituximab. Recently, we reported that absolute lymphocyte count (ALC), as a surrogate maker of immune recovery, is a survival prognostic factor in autologous stem cell transplantation for non-Hodgkin’s lymphoma (NHL). We hypothesize host immune competence (i.e, normal ALC counts) would predict a superior survival in NHL patients treated with rituximab-based regimens. The primary end-point of the study was to assess whether the ALC count prior to rituximab therapy predicted progression-free survival (PFS) and the second end-point was to identify which lymphocyte subset was responsible for affecting PFS. We studied 41 NHL patients that participated in our Phase I interleukin-12 plus rituximab study. These patients were selected because the Phase I study required baseline ALC count and flow cytometry analysis providing lymphocyte subset data prior to treatment. There were 20 females and 21 males in the study. The median age of the cohort was 53 years (range: 34–84). PFS was assessed from the initial date of treatment. The median follow-up was 42 months (1–84 months). Patients with an ALC ≥ 0.9 × 109/l experienced a superior PFS versus an ALC &lt; 0.9 × 109/l prior to rituximab therapy (31 months vs 4 months, p &lt; 0.0001). The relapse rate in the ALC ≥ 0.9 × 109/l group was 55% (11/20) versus 95 % (20/21) in the ALC &lt; 0.9 × 109/l (p &lt; 0.0016). Patients with a CD4 count ≥ 500 cells/μl also experienced a superior PFS versus a CD4 count &lt; 500 cells/μl (21 months vs 9 months, p &lt; 0.0062). The relapse rate in the CD4 count ≥ 500 cells/μl group was 56% (9/16) versus 88 % (22/25) in the CD4 count &lt; 500 cells/μl (p &lt; 0.0216). No association with PFS was identified for CD3, CD8, CD19, CD16/56, the use of IL-12, or lymphoma type by WHO classification. CD4 count was found to be an independent prognostic factor for PFS. In the subgroup of patients with follicular lymphoma, patients with an ALC ≥ 0.9 × 109/l experienced a superior PFS versus an ALC &lt; 0.9 × 109/l prior to rituximab therapy (35 months vs 9 months, p &lt; 0.0076). The relapse rate in the ALC ≥ 0.9 × 109/l group was 45% (5/11) versus 90 % (9/10) in the ALC &lt; 0.9 × 109/l (p &lt; 0.0243). Patients with a CD4 count ≥ 500 cells/μl also experienced superior PFS versus a CD4 count &lt; 500 cells/μl (not reached vs 9 months, p &lt; 0.0098). The relapse rate in the CD4 count ≥ 500 cells/μl group was 29% (2/7) versus 86 % (12/14) in the group with a CD4 count &lt; 500 cells/μl (p &lt; 0.0216). CD4 count was found to be an independent prognostic factor for PFS when compared to the Follicular Lymphoma International Prognostic Index at the time of treatment. Our data suggest the significance of an immunocompetent host in predicting the efficacy of rituximab therapy. These data support our previous report that patients with higher number of activated CD4+ cells at the lymphoma site have a better prognosis (Ansell et al, JCO2001; 19: 720–6). These findings warrant further studies to understand the role of ALC (i.e, CD4 count) in the mechanism of action of rituximab. Supported in part by CA69912

Objective To evaluate patient‐reported outcome (PRO) data from the IMmotion150 study. The phase 2 IMmotion150 study showed improved progression‐free survival with atezolizumab plus bevacizumab vs sunitinib in patients with programmed death‐ligand 1 (PD‐L1)+ tumours and suggested activity of atezolizumab monotherapy in previously untreated metastatic renal cell carcinoma (mRCC). Patients and methods Patients with previously untreated mRCC were randomised to atezolizumab 1200 mg intravenously (i.v.) every 3 weeks ( n = 103), the atezolizumab regimen plus bevacizumab 15 mg/kg i.v. every 3 weeks ( n = 101), or sunitinib 50 mg orally daily (4 weeks on, 2 weeks off; n = 101). The MD Anderson Symptom Inventory (MDASI) and Brief Fatigue Inventory (BFI) were administered on days 1 and 22 of each 6‐week cycle. Time to deterioration (TTD), change from baseline in MDASI core and RCC symptom severity, interference with daily life, and BFI fatigue severity and interference scores were reported for all comers. The TTD was the first ≥2‐point score increase over baseline. Absolute effect size ≥0.2 suggested a clinically important difference with checkpoint inhibitor therapy vs sunitinib. Results Completion rates were >90% at baseline and ≥80% at most visits. Delayed TTD in core and RCC symptoms, symptom interference, fatigue, and fatigue‐related interference was observed with atezolizumab (both alone and in combination) vs sunitinib. Improved TTD (hazard ratio [HR], 95% confidence interval [CI]) was more pronounced with atezolizumab monotherapy: core symptoms, 0.39 (0.22–0.71); RCC symptoms, 0.22 (0.12–0.41); and symptom interference, 0.36 (0.22–0.58). Change from baseline by visit, evaluated by the MDASI, also showed a trend favouring atezolizumab monotherapy vs sunitinib. Small sample sizes may have limited the ability to draw definitive conclusions. Conclusion PROs suggested that atezolizumab alone or with bevacizumab maintained daily function compared with sunitinib. Notably, symptoms were least severe with atezolizumab alone vs sunitinib (IMmotion150; ClinicalTrials.gov Identifier: NCT01984242).

8032 Background: The impact of t(11;14) (16%–24% of MM pts) on prognosis is not fully understood. Consensus is lacking on the effects of induction treatment (tx) on outcomes with t(11;14). The Connect MM Registry (NCT01081028) is a large, US, multicenter, prospective observational cohort study of pts with NDMM designed to examine real-world diagnostic patterns, treatment (tx) patterns, clinical outcomes, and HRQoL pt-reported outcomes in pts with NDMM. The impact of t(11;14) on tx outcomes are reported. Methods: Analysis included data from pts from 250 community, academic, and government sites in cohort (C) 1 (9/2009–12/2011) and C2 (12/2012–4/2016), who completed first-line (1L; induction) tx and were tested for t(11;14) by FISH or cytogenetics. Primary end points (progression-free survival [PFS] and overall survival [OS]) were measured from start of 1L tx to earliest event (PFS, death or progression; OS, death), loss to follow-up, or data cutoff, adjusted for baseline (BL) risk factors. A sensitivity analysis excluding pts with concomitant cytogenetic abnormalities [del 17p, t(4;14), t(14;16), 1q+] was also performed. Results: By 1/2018, 3011 pts were enrolled; 2938 were treated. Of 1574 enrolled pts tested for t(11;14), 378 were t(11;14)+ and 1196 were t(11;14)−. More pts in C2 vs C1 were t(11;14)+ (60% vs 40%). BL characteristics were similar between groups. t(11;14) status did not affect PFS ( P= NS) or OS ( P= NS; Table). Pts in C1 and C2 received similar 1L txs (IMiD agent + proteasome inhibitor [PI], 30% vs 42%; PI only, 42% vs 43%; IMiD agent only, 17% vs 11%). Results were similar when pts with concomitant abnormalities were excluded. Conclusions: Results of this analysis suggest that t(11;14) does not affect PFS and OS outcomes in NDMM pts. Clinical trial information: NCT01081028. [Table: see text]

e21006 Background: Induction with novel biological agents has significantly improved progression free survival (PFS) of MM pts. However, role and timing of ASCT is unclear and there remains a need for a practical means to predict post-ASCT outcome. Our goal was to determine the prognostic value of FDG PET/CT (PET) after induction therapy (IT) in comparison with other prognostic factors and International Myeloma Working Group (IMWG) response criteria. Methods: Prospective, multicenter study of 113 newly diagnosed MM pts undergoing IT+ASCT. IT was not controlled and consisted of 2 or 3 novel agent combinations. The tested variables to predict PFS are shown in table. Two PET scoring systems were used: Score1, positive>marrow uptake; Score2, positive>liver uptake. ROC analysis determined the SUV cut-off. Results: With a median follow-up of 29.5 mo 56 (49.6%) pts relapsed (median PFS: 24.3 mo). Results are displayed in table. Post-IT, when a "+" PET (Score2) was associated with less than a VGPR response, relapses occurred in 83% of pts vs. in only 30% when PET was "-" and pts were in CR or VGPR. Multivariate analysis revealed only ISS to be an independent predictor of PFS (p=0.014). Conclusions: Post-IT a "-" PET associated with CR+VGPR suggests a durable response. Qualitative PET evaluation using a more liberal threshold (liver) to define positivity can be used to accurately assess response in MM. These data failed to prove the post-IT IMWG and PET response to be independent prognosticators while ISS was a superior predictor. This may be attributed to inadequate sample size, nonuniform pre- and post-ASCT treatments, varying follow-up times. Further analyses with stratifying various prognostic indicators and therapy schemes in a larger population are underway to determine a definitive role for PET as a predictor of post-ASCT outcome. [Table: see text]

10003 Background: Preclinical studies demonstrate synergistic anti-tumor activity by inhibiting mTOR and IGF-1R. This study evaluated the safety and efficacy of A12 and TEM in 3 chemo-refractory cohorts: IGF-1R (+) STS (Arm A), IGF-1R (+) bone (Arm B), and IGF-1R (-) bone and STS (Arm C). Methods: An optimal Simon 2 stage design was used for each arm. The primary end-point was progression free survival (PFS) at 12 weeks. Based on historical data, a 40% PFS rate was considered promising and a 20% PFS non-promising (type I/ II error, 0.05/0.10). ≥5 PFSs at 12 weeks were required in the first 19 and ≥16 PFSs were required in a total of 54 pts to consider each arm positive. Key eligibility: measurable disease (RECIST 1.1), age ≥18, 1- 4 priors, ECOG status 0-1. A12 (6 mg/kg) and TEM (25 mg) were administered IV weekly. Pre and post treatment tumor biopsies and plasma for IGF-1 and IGFBP3 were obtained. 20 Sarcoma Centers participated. Results: Starting in 02/2010, 383 pts were tested for IGF-1R by immunohistochemistry (IHC; 54% +) and 171 were treated: mean age 47 (range: 18-80), mean # priors 2.2 (range: 1-4). Grade 3/4 toxicities ≥10%: lymphopenia (12%), mucositis (10%). By intent to treat (ITT) analysis, each arm of the study achieved its primary 12 week PFS end-point (≥16 PFSs): Arm A: 18/56 (32%), Arm B: 19/50 (38%) (4 too early), Arm C: 27/63 (43%). The one-sided 95% CI for 12-week PFS is (0.22, 1), (0.27, 1), and (0.32, 1), respectively. By ITT the median PFS (95% CI) in weeks for each arm is 6.3 (5.9, 12.0), 11.0 (8.0, 18.0) and 11.6 (9.0, 17.9), respectively, and for chondro (n=18), Ewing’s (n=24), and osteo (n=23) only it is 22.6 (5.7, 40.9), 10.4 (5.7, 17.9) and 6.0 (6.0, 18.0), respectively. Westerns on 32 matched pair tumor biopsies indicate inhibition of IGF-1R, pAKT and pS6. Of biopsies on 7 IGF-1R (-) IHC pts (Arm C), 5 were IGF-1R (+) by western. Plasma biomarkers did not correlate with PFS. Conclusions: A12 and TEM met its primary end-point of improved PFS in pts with metastatic sarcoma. This effect was independent of IGF-1R status by IHC. These results support further clinical development of this combination in bone and STS.