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AbstractBackground: Human kallikrein 2 (hK2) shares 80% sequence identity with prostate-specific antigen (PSA). Because both hK2 and hK2-α1-antichymotrypsin (hK2-ACT) complexes have been identified in patient sera, we devised an immunoassay for total hK2 [(thK2); hK2 and hK2-ACT] and evaluated it in healthy subjects and patients with prostate disease.Methods: We developed monoclonal antibodies (mAbs) with high specificity for hK2 and hK2-ACT and minimal cross-reactivity to PSA. Using these mAbs, a sandwich assay was developed and its specificity for forms of hK2 was assessed. Serum samples (n = 1035) from healthy volunteers, patients with increased PSA, and men who had undergone radical prostatectomy were assayed for thK2. We also measured thK2 in samples before and after storage under common laboratory conditions.Results: The minimum detectable concentration in the thK2 assay was 0.008 μg/L, and PSA cross-reactivity was <0.001%. The assay detected prohK2 and three different hK2–serum protease complexes. The median serum concentration of thK2 in control samples (0.013 μg/L) was significantly lower than the median in samples from patients with increased PSA concentrations (0.085 μg/L). Immunoreactive hK2 changed little in samples stored for up to 1 month at −70 °C.Conclusions: The thK2 assay recognizes all forms of hK2 that have been found in bodily fluids to date.

Background National Comprehensive Cancer Network (NCCN) guidelines recommend accurate clinical staging, perioperative therapy, and complete lymphadenectomy for patients with stage II to III gastric cancer. However, national compliance remains low. It was hypothesized that integrated cancer networks might improve compliance and outcomes within the community. Methods Patients with stage II to III gastric adenocarcinoma undergoing curative‐intent resection (National Cancer Data Base, 2006‐2015) were examined. Guideline compliance was defined as any perioperative adjunctive therapy, complete lymphadenectomy, complete clinical staging, and complete compliance (all measures). Univariate comparisons and multivariable regression were used to assess factors associated with compliance, and Kaplan‐Meier analysis was used to assess survival. Results There were 27,210 patients identified: 7235 (26.6%) underwent surgery alone, whereas 19,975 (73.4%) received additional therapy. Half (53.1%) had complete lymphadenectomies, whereas complete clinical staging was available for 65.5%. Overall compliance with all 3 measures was 30.1%. Compliance improved by approximately 20% for each measure across the 10‐year study period. Although patients treated at academic programs were most likely to receive concordant care in an adjusted analysis, those treated at integrated care networks were more likely to receive guideline‐concordant care (odds ratio [OR], 0.69) than those treated at comprehensive community programs (OR, 0.48) or community programs (OR, 0.45; all P values <.001). The median overall survival was 45.5 months for patients who received guideline‐concordant care and 32.0 months for those who did not ( P < .001, reference for all ORs: academic programs). Conclusions Compliance with guidelines was associated with improved outcomes. Although the rate of compliance with NCCN guidelines is improving, integrated care networks may be an important way of improving the quality of gastric cancer care within the community.

Abstract MYC expression is frequently dysregulated in multiple myeloma (MM). In one comprehensive study, MYC structural variations (SV) were found in nearly half of MM cases (Affer et al. Leukemia 2014). The prevalence was higher in hyperdiploid (HRD) tumors (65%) compared to non-hyperdiploid (NHRD) tumors (36%). The large amount of tumor DNA required for all of the genomic studies performed may have biased the samples analyzed (e.g., to those with higher tumor burdens). To validate the findings of recurrent MYC SV in another dataset, we analyzed the CoMMpass data. We analyzed long-insert whole genome sequencing (WGS) data from diagnostic samples in 420 patients from the IA7 release (dbGAP phs000748) for SV. The results of clinical data, processed WES (SNV), RNASeq (gene expression) and WGS (copy number) data from IA8 (http://research.themmrf.org) were used to calculate survival, RAS and NFKB pathway mutation (WES), TC class (RNA), NFKB index (RNA) and hyperdiploid index (WGS). MYC SVs were identified in 38% of tumors. They were present in 53% HRD and 28% NHRD, and by TC in 55% D1, 43% D2, 36% MMSET, 26% MAF, 13% CCND. Juxtaposition of an Ig enhancer (IgH, IgK, IgL) close to MYC was the most common MYC SV, representing ~40% of the MYC SV. Other enhancers identified have mostly been reported previously, with the most frequent being NSMCE2 (12% of SV) and TXNDC5 (5% of SV). Intrachromosomal SV (deletions, inversions, duplications) not associated with any known enhancer were also frequent (18% of SV). As expected, MYC expression was higher in tumors with MYC SV compared to those without (~2.4 fold, p-value<0.0001). We used Gene Set Enrichment Analysis (GSEA) to identify activated pathways that might substitute for MYC in HRD patients without MYC SV and observed significant activation of the NFkB pathway. Interestingly, examining patients with RAS/MAPK pathway (NRAS, KRAS, BRAF, FGFR3 - abbreviated RAS) mutations (identified in 50% of all patients) the same pattern was observed: in the absence of RAS mutation, there was a significantly higher NFkB index. In general, the HRD tumors seem to have either activation of RAS and/or MYC, or activation of NFkB (Figure). There was no difference in overall survival in patients with versus those without MYC SV. We developed a clinically applicable sequencing platform to identify MYC SV, which cannot be reliably identified by FISH. We sought to validate this targeted capture approach, where in addition to the coding exons of 81 interesting genes described previously (M3P), we also pulled down the region surrounding MYC (2 Mb), IgH (0.5 Mb), IgK (50 kb) and IgL (100 kb) allowing us to additionally identify SV in MYC and Ig loci. Using this approach we identified IgH translocations in 29/30 samples with translocations previously identified by FISH (97%). Moreover, we identified MYC SV in 19/22 patients with SV previously identified by mate-pair WGS (86%). Importantly, sequencing identified the precise translocation breakpoint, and identity of the enhancer dysregulating MYC, which may be important variables. In one informative patient two different MYC SV were present at diagnosis, only one of which was still present following a partial response to four cycles of lenalidomide and dexamethasone. This suggests that the two MYC SV are in different subclones, one of which was much more sensitive to the treatment. Interestingly, the enhancer dysregulating MYC in the sensitive subclone harbors 5 strong Ikaros binding sites identified by ChIPseq, suggesting one intriguing mechanism for sensitivity to lenalidomide. To summarize, we verified in a large dataset that MYC expression is frequently dysregulated by SV in MM (38%), and the RAS/MAPK (50%) and NFKB (23%) pathways are frequently activated by mutations. Surprisingly, given their generally good prognosis, nearly half of HRD tumors seem to be MYC driven, while this is true for only a quarter of NHRD tumors. HRD tumors not driven by MYC or RAS appear to be driven by NFKB. Remarkably, the pathways most commonly activated by mutation in MM: CCND, MYC, RAS, NFKB are common to many cancers and have been studied extensively individually. To understand their clinical impact in MM we have developed a comprehensive custom capture sequencing panel that identified 97% of IgH translocations, 86% of MYC SV, and as well as SNV and CNV of 81 recurrently mutated genes. It will be important to include such a comprehensive genetic analysis to complement clinical trials in the future. Figure. Figure. Disclosures Stewart: Bristol Myers Squibb: Consultancy; Celgene: Consultancy; Takeda Oncology: Consultancy; Janssen Pharmaceuticals: Consultancy.

Introduction: The use of PET-CR as a surrogate endpoint would expedite the development of novel therapies and enable better estimates of sample size based on early outcomes of a trial. Previous studies have reported an association between end-of-therapy (EOT) PET results and long-term progression-free (PFS) and overall survival (OS) in diffuse large B-cell lymphoma (DLBCL) patients receiving standard first-line chemoimmunotherapy. We have also previously shown that the overall predictability of PET-CR for PFS and OS in these trials is similar to that in 18 literature-based studies. (15-ICML 2019, P195). To assess the potential for PET-CR as a surrogate endpoint in registration trials, we conducted a prospectively designed individual patient-level-data meta-analysis of available clinical trials. Methods: We synthesized patient-level data from three prospective phase II and III trials (GOYA [NCT01287741], GATHER [NCT01414855], MAYO [NCT00670358]) conducted in previously untreated DLBCL patients, using a Bayesian hierarchical model. We considered the two treatment arms in GOYA (GOYA-R-CHOP [rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone] and GOYA-G-CHOP [obinutuzumab, cyclophosphamide, doxorubicin, vincristine, and prednisone]) separate; hence a total of four arms, excluding patients without baseline PET scans. We investigated the relationship between PET-CR and long-term survival outcomes overall and within patient subgroups. We used Kaplan-Meier plots to compare survival endpoints by PET-CR status. We considered hypothetical RCTs that have PET-CR and PFS as endpoints to show how our model of the relationship between PET-CR and PFS can be used to predict the trial outcome. Results: We included 1496 patients (GOYA-R, GOYA-G, GATHER, MAYO, respectively: 665, 669, 100, 62). EOT PET-CR status was determined by the Lugano criteria in GOYA and by IHP in the other two studies. The overall rate of PET-CR was 72%; respectively 72%, 73%, 62% and 74% per arm. Panel A of the Figure shows Kaplan-Meier plots of PFS by PET-CR status. The Bayesian modeled hazard ratio (HR) comparing PET-CR versus nonCR was 0.13 (95% CI: 0.10, 0.15). The model can be used in planning a clinical trial as follows. Suppose a new therapy improves the PET-CR rate from 70% to 85%. Based on our model the expected HR for PFS treatment effect would be 0.71 (95% CI: 0.58, 0.84). The trial sample size required to demonstrate such an improvement with 90% power is about 650 patients, assuming an accrual rate of 50 patients per month and a minimum follow-up time of 12 months. Panel B of the Figure shows the model-based PFS HR and its CI (shaded) as it depends on the PET-CR rate of the new therapy. This plot also shows the estimated total trial sample size (in red), again assuming the relationship between PET-CR and PFS in our model. However, our model may not apply for the new therapy; and the trial could have an adaptive design with final sample size tailored to the accruing information about PET-CR and PFS and their relationship for the therapies in the trial. Conclusions: Achieving an EOT PET-CR in newly diagnosed DLBCL is highly predictive of favorable outcome in the populations we considered. The estimated HR is 0.13 for PFS, PET-CR versus nonCR, and it is 0.10 for OS. Based on our model, a treatment that improves PET-CR rate could be reasonably expected to have a benefit on PFS and OS, for the populations we considered. Whether a new therapy, with a different mechanism of action, that improves PET-CR rate will extend PFS in a clinical trial is less clear. An adaptive trial could be initiated based on our model as a hypothesis. This hypothesis can be verified or updated using accruing information in the trial itself. Our model can also help in planning clinical trials for re-estimating sample size during the trial and considering early stopping for futility. Further work should investigate the applicability of PET-CR in predicting PFS and/or OS for treatments that have different mechanisms of action and for other populations of patients. Acknowledgements: This work was funded by Genentech/Roche. Disclosures Berry: Berry Consultants, LLC: Consultancy, Employment, Equity Ownership, Other: Berry Consultants, LLC is a company that provides statistical design and analysis services to pharmaceutical companies (including Genentech/Roche), medical device companies, U.S. NIH cooperative groups, patient advocacy groups, and international consortia. Broglio:Berry Consultants LLC: Employment. Ward:Hoffmann La Roche: Employment, Equity Ownership. Mattiello:F. Hoffmann-La Roche Ltd: Employment. Sahin:F. Hoffmann-La Roche Ltd: Employment, Equity Ownership. Nielsen:F. Hoffmann-La Roche Ltd: Employment, Equity Ownership. McGlothlin:Berry Consultants, LLC: Consultancy, Employment. Elliott:Berry Consultants, LLC: Employment. Sehn:Lundbeck: Consultancy, Honoraria; TG Therapeutics: Consultancy, Honoraria; Kite Pharma: Consultancy, Honoraria; Morphosys: Consultancy, Honoraria; Apobiologix: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Acerta: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; TEVA Pharmaceuticals Industries: Consultancy, Honoraria; Janssen-Ortho: Consultancy, Honoraria; Merck: Consultancy, Honoraria; Merck: Consultancy, Honoraria; TG Therapeutics: Consultancy, Honoraria; Astra Zeneca: Consultancy, Honoraria; TEVA Pharmaceuticals Industries: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; F. Hoffmann-La Roche/Genentech: Consultancy, Honoraria, Research Funding; Astra Zeneca: Consultancy, Honoraria; Kite Pharma: Consultancy, Honoraria; F. Hoffmann-La Roche/Genentech: Consultancy, Honoraria, Research Funding; Verastem: Consultancy, Honoraria; Morphosys: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; Lundbeck: Consultancy, Honoraria; Acerta: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Janssen-Ortho: Honoraria; Takeda: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria. Trněný:Abbvie: Consultancy, Honoraria; Gilead Sciences: Consultancy, Honoraria; Incyte: Consultancy, Honoraria; Celgene: Consultancy; Janssen: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; F. Hoffmann-La Roche: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; MorphoSys: Consultancy, Honoraria. Vitolo:Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Kite: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Abbvie: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Juno Therapeutics: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; F. Hoffmann-La Roche: Speakers Bureau. Martelli:Servier: Honoraria; F. Hoffman-La Roche, Celgene, Janssen, Sandoz, Novartis, Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees; Servier: Honoraria; F. Hoffman-La Roche, Celgene, Janssen, Sandoz, Novartis, Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees. Kostakoglu:F. Hoffman-La Roche: Consultancy; Genentech: Consultancy. Nowakowski:F. Hoffmann-La Roche Ltd: Research Funding; Curis: Research Funding; Bayer: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Genentech, Inc.: Research Funding; MorphoSys: Consultancy, Research Funding; Selvita: Membership on an entity's Board of Directors or advisory committees; NanoString: Research Funding.

Abstract Recent study has shown that incident dementia risk is higher among older persons who decline in both cognition and gait. This study assesses whether this relationship exists in multiple other aging populations. Data are from the Baltimore Longitudinal Study of Aging (n=662, 51%women,22%blacks), Health, Aging and Body Composition Study (n=746, 51%women,44%blacks), and Mayo Clinic Study of Aging (n=2771, 48%women,0.3%blacks). Participants were at least 60, initially free of cognitive impairment, dementia, and dismobility (gait speed≤0.6m/s), with repeated measures of verbal memory and gait speed before dementia diagnosis (average follow-up 5.8-12.1 years). Within each cohort, participants were divided into four groups: memory decliners alone, gait decliners alone, dual decliners, or neither (healthy agers). Gait speed decline was defined as a loss of ≥0.05m/sec/year; memory decline was defined as cohort specific bottom slope tertile. Incident dementia risk was examined by Cox regression with healthy agers as reference, adjusted for sex, race, baseline age, gait speed and memory. Across studies, incident dementia ranged from 3% to 17%. Compared to healthy agers, memory decliners alone had 3.4 to 4.3 times higher risk for developing dementia (p&lt;0.01). Gait decliners alone had 2.1-5.6 times higher risk for dementia (p&lt;0.05). Dual decliners had 7.6-10.8 times the risk (p&lt;0.001). Dual decline signifies a more rapid progression to dementia. These consistent findings suggest that dual decliners might be a potentially valuable target group for both preventive interventions and mechanistic studies. Whether dual decline identifies a particular subtype or multiple subtypes of dementia remains to be investigated.

Distress is defined in the NCCN Guidelines for Distress Management as a multifactorial, unpleasant experience of a psychologic (ie, cognitive, behavioral, emotional), social, spiritual, and/or physical nature that may interfere with the ability to cope effectively with cancer, its physical symptoms, and its treatment. Early evaluation and screening for distress leads to early and timely management of psychologic distress, which in turn improves medical management. The panel for the Distress Management Guidelines recently added a new principles section including guidance on implementation of standards of psychosocial care for patients with cancer.

AbstractBackgroundWith the opioid epidemic in the United States, evaluating opioid prescribing patterns is essential. We evaluated opioids prescribed at discharge following breast surgery and their association with patient factors and pain scores.MethodsWe retrospectively identified adult patients who underwent a mastectomy for cancer at Mayo Clinic sites from January 2010 to December 2016. Pain scores and prescription data were compared across operations and patient factors by univariate and multivariable analyses.ResultsOf 4021 patients, 3782 (94.1%) received an opioid prescription. Median oral milligram morphine equivalents (MME) were similar across all site‐specific procedure groups (medians ranging from 225 to 375) while pain scores ranged from 1 to 4. Patients undergoing bilateral mastectomy (BM) and immediate breast reconstruction (IBR) reported the greatest pain scores. Pain scores did not vary with age or diagnosis for patients undergoing unilateral mastectomy or BM with lymph node surgery and IBR procedures.On multivariable analysis, variables associated with a MME discharge prescription >Q4 values included age, body mass index, site, year, inpatient status, and pain before discharge >3.ConclusionPatient‐reported pain following breast surgery varied by procedure, while MMEs prescribed remained similar. This suggests current opioid prescribing does not reflect intensity of pain and requires further research to optimize discharge opioid prescribing practices.

BACKGROUND: Metabolic syndrome is associated with poorer postoperative outcomes after various abdominal operations. However, the impact of metabolic syndrome on outcomes after colorectal cancer surgery remains poorly described. OBJECTIVE: The purpose of this study was to determine the association between metabolic syndrome and short-term postoperative outcomes in patients undergoing elective colorectal cancer surgery. DESIGN: This was a retrospective cohort study. SETTINGS: This study used a national multicenter database. PATIENTS: Adult patients who underwent elective colectomy for colorectal cancer from 2010 to 2016 were identified in the American College of Surgeons National Surgical Quality Improvement Program database. MAIN OUTCOME MEASURES: Thirty-day postoperative mortality and morbidity, unplanned reoperation, unplanned readmission, operative time, and length of stay were measured. RESULTS: A total of 91,566 patients were analyzed; 7603 (8.3%) had metabolic syndrome. On unadjusted analysis, metabolic syndrome was associated with an increased risk of 30-day overall morbidity, pulmonary complications, renal complications, septic complications, cardiac complications, wound complications, blood transfusion, longer length of stay, and unplanned readmissions. On multivariable analysis, metabolic syndrome remained significantly associated with renal complications (OR = 1.44 (95% CI, 1.29–1.60)), superficial surgical site infection (OR = 1.46 (95% CI, 1.32–1.60)), deep surgical site infection (OR = 1.40 (95% CI, 1.15–1.70)), wound dehiscence (OR = 1.47 (95% CI, 1.20–1.80)), and unplanned readmissions (HR = 1.24 (95% CI, 1.15–1.34)). The risks of overall morbidity, cardiac and septic complications, and prolonged length of stay for laparoscopic procedures were significantly associated with diabetes mellitus rather than metabolic syndrome as a composite entity. LIMITATIONS: This study was limited by its retrospective design and inability to analyze outcomes beyond 30 days. CONCLUSIONS: Patients with metabolic syndrome undergoing elective surgery for colorectal cancer have an increased risk of 30-day postoperative renal complications, wound complications, and unplanned hospital readmissions. A multidisciplinary approach involving lifestyle modifications and pharmacologic interventions to improve the components of metabolic syndrome should be implemented preoperatively for these patients. See Video Abstract at http://links.lww.com/DCR/A909.