Citations

Purpose To compare the risks of serious health outcomes among hematopoietic cell transplantation (HCT) survivors versus a matched population of patients with cancer who did not undergo HCT, where the primary difference may be exposure to HCT. Methods Two-year HCT survivors treated at a comprehensive cancer center from 1992 through 2009 who were Washington State residents (n = 1,792; 52% allogeneic and 90% hematologic malignancies) were frequency matched by demographic characteristics and underlying cancer diagnosis (as applicable) to non-HCT 2-year cancer survivors, using the state cancer registry (n = 5,455) and the general population (n = 16,340) using driver’s license files. Late outcomes for all three cohorts were ascertained from the state hospital discharge and death registries; subsequent cancers were ascertained from the state cancer registry. Results After median follow-up of 7.1 years, HCT survivors experienced significantly greater rates of hospitalization compared with matched non-HCT cancer survivors (280 v 173 episodes per 1,000 person-years, P < .001) and greater all-cause mortality (hazard ratio [HR], 1.1; 95% CI, 1.01 to 1.3). HCT survivors had more hospitalizations or death with infections (10-year cumulative incidence, 31% v 22%; HR, 1.4; 95% CI, 1.3 to 1.6) and respiratory complications (cumulative incidence, 27% v 20%; HR, 1.4; 95% CI, 1.2 to 1.5). Risks of digestive, skin, and musculoskeletal complications also were greater among HCT versus non-HCT cancer survivors. The two groups had similar risks of circulatory complications and second cancers. Both HCT and non-HCT cancer survivors had significantly greater 10-year cumulative incidences of all major organ-system outcomes versus the general population. Conclusion History of HCT was associated with late morbidity and mortality among cancer survivors. In particular, clinicians who care for HCT survivors should be aware of their high rates of late respiratory and infectious complications.

265 Background: UC response to CT is not durable. Angiogenesis may play a role in the progression of UC. We evaluated whether maintenance sunitinib delays progression after response to CT. Methods: Pts with ECOG PS 0-2, adequate organ function, stable disease, partial or complete response (SD, PR, CR) after 4-6 cycles of CT for advanced UC were randomized to oral sunitinib 50 mg/day, 28 days on, 14 days off (6-week cycle) or placebo. Disease was assessed every 12 wks. At progression, placebo pts were offered open label sunitinib. Primary endpoint: progression rate at 6 months (ms); secondary endpoints: safety, objective response rate, survival, VEGF/sVEGFR2 serum level changes. Using a randomized selection design 42 pts/arm has 90% probability of selecting sunitinib if true reduction in 6-ms progression rate is 15% (from 50% to 35%). Results: Study was closed early due to slow accrual. 54 pts with median age 69 years, median ECOG PS 1, 70% with bladder primary, 26 with SD, 23 with PR, 5 with CR to CT were randomized to sunitinib (26) or placebo (28). The median number of cycles was 2/arm (sunitinib 0-15, placebo 0-13). The 6-ms progression rate was 81% (95%CI 61-93%), median time-to-progression (TTP) 5 ms (0.3-22.2, 95%CI 2.4-6.3) for sunitinib and 75% (95%CI 55-89%), 2.7 ms (0.8-19.6, 95%CI 2.5-7.4) for placebo. Response rate in pts with SD at enrollment was 9% for sunitinib and 7% for placebo. Most common G3/4 AEs on sunitinib were diarrhea (15.4%/0%), fatigue (15.4%/3.8%), thrombocytopenia (15.4%/7.7%), hypertension (11.5%/0%). 16 placebo pts received sunitinib with best response 1 PR (6.25%), 6 SD (37.5%), 5 PD (31.25%); 4 not response evaluable. Median TTP was 3.4 ms (0.1-22, 95%CI 1.6-5.5). 11 pts had G3/4 AEs, 5 pts discontinued sunitinib due to AEs (4 related, 1 unrelated). Placebo pts had no change in VEGF/sVEGFR2 over time. Sunitinib pts had no change in VEGF but sVEGFR2 significantly decreased after 1 cycle (p<0.0001) and at progression (p=0.0002). VEGF/sVEGFR2 did not correlate with TTP. Conclusions: Maintenance sunitinib was feasible but did not improve 6-ms progression rate; open label sunitinib had limited activity. sVEGFR-2 decreased on sunitinib.

175 Background: The efficient delivery of adjuvant and salvage therapy after radical prostatectomy in patients with prostate cancer is hampered by a lack of biomarkers to assess the risk of clinically significant recurrence and progression. Methods: Mayo Clinic Radical Prostatectomy Registry (RP) patient specimens were selected from a case-control cohort with 14 years median follow-up for training and initial validation of an expression biomarker genomic classifier (GC). An independent, blinded case-cohort study of high-risk RP subjects was used to validate GC, comparing the performance of GC to a multivariate logistic regression clinical model (CM) and GC combined with clinical variables (genomic-clinical classifier, GCC) for predicting clinical recurrence (defined as positive bone or CT scan within 5 years after biochemical recurrence). The concordance index (c-index) and Cox model were used to evaluate discrimination and estimate the risk of clinical recurrence. Results: In the training subset (n=359), both GC and GCC had a c-index of 0.90 whereas CM had a c-index of 0.76. In the internal validation set (n=186), GC and GCC had a c-index of 0.76 and 0.75, while CM had a c-index of 0.69. In an independent high-risk study (n=219), GC and GCC had a c-index of 0.77 and 0.76, while CM had a c-index of 0.68. In subset analysis of Gleason score 7 patients within the high-risk group, GC and GCC showed improved discrimination with c-index of 0.78 and 0.76, respectively compared to 0.70 for CM. In the high-risk group, the risk of recurrence by GC model score quartiles at 5 years after RP was estimated at 1%, 5%, 5% and 18%. Conclusions: The GC model shows improved performance over CM in the prediction of clinical recurrence in a high-risk cohort and in subset analysis of Gleason score 7 patients. The addition of clinical variables to the GC model did not significantly contribute to classifier performance in patients with high-risk features. We are further testing the performance of the GC and GCC models and their usefulness in guiding decision-making (e.g., for the adjuvant therapy setting) in additional studies of prostate cancer clinical risk groups.

ABSTRACT Brain atrophy is a common feature of numerous neurologic diseases in which the role of neuroinflammation remains ill‐defined. In this study, we evaluated the contribution of major histocompatibility complex class I molecules to brain atrophy in Theiler's murine encephalomyelitis virus (TMEV)–infected transgenic FVB mice that express the D b class I molecule. FVB/D b and wild‐type FVB mice were evaluated for changes in neuroinflammation, virus clearance, neuropathology, and development of brain atrophy via T2‐weighted MRI and subsequent 3‐dimensional volumetric analysis. Significant brain atrophy and hippocampal neuronal loss were observed in TMEV‐infected FVB/D b mice, but not in wild‐type FVB mice. Brain atrophy was observed at 1 mo postinfection and persisted through the 4‐mo observation period. Of importance, virus‐infected FVB/D b mice elicited a strong CD8 T‐cell response toward the immunodominant D b ‐restricted TMEV‐derived peptide, VP2 121–130 , and cleared TMEV from the CNS. In addition, immunofluorescence revealed CD8 T cells near virus‐infected neurons; therefore, we hypothesize that class I restricted CD8 T‐cell responses promote development of brain atrophy. This model provides an opportunity to analyze the contribution of immune cells to brain atrophy in a system where persistent virus infection and demyelination are not factors in long‐term neuropathology.—Huseby Kelcher, A. M., Atanga, P. A., Gamez, J. D., Cumba Garcia, L. M., Teclaw, S. J., Pavelko, K. D., Macura, S. I., Johnson, A. J. Brain atrophy in picornavirus‐infected FVB mice is dependent on the H‐2Db class I molecule. FASEB J. 31, 2267–2275 (2017). www.fasebj.org

Abstract Background Tube thoracostomy (TT) can be an effective therapy for thoracic pathologies. Ineffective placement of TT is common and associated with significant complications. Complications require additional interventions to repair damaged tissues or replace dysfunctional TT. We hypothesize that complicated TT insertion increases cost to the hospital system. Methods Adult trauma patients requiring TT at a level 1 trauma center (2012–2013) were reviewed. Intraoperative or image‐guided TT placements were excluded. Baseline demographics and TT insertion cost (normalized and assigned by hospital billing records) were recorded. Costs included initial TT equipment, radiographs, and subsequent operative or radiologic intervention to correct TT complications. Complications were categorized using previously validated method. Secondary outcomes included: number of TT inserted, number of chest radiographs performed, and TT dwell time utilizing a standardized TT discontinuation protocol. Results A total of 154 patients with 246 TT were included. Ninety TT (37%) had complication. Complication categories are postremoval ( n = 15, 16.7%), insertional ( n = 13, 14.4%), positional ( n = 62, 68.9%). Overall median complicated TT cost was 9 times greater than uncomplicated TT insertion, p = 0.001. Insertional complications median cost 21 times greater than an uncomplicated, due to operative and radiologic interventions ( p = 0.0001). Positional and postremoval complication rates increased median cost by 3 times compared to uncomplicated TT ( p = 0.03). Operative or radiologic interventions ( n = 10) were performed for organ injury or uncontrolled hemo‐/pneumothorax. Increased dwell time median [IQR] was associated with complicated TT compared to uncomplicated 3 [1–5] versus 2 [1–3], p = 0.01. Conclusion TT is a common procedure. TT complications are often considered benign. However, patients with a complicated TT insertion, especially related to insertional subtypes, have markedly increased hospitalization costs due to need for operative or radiologic repair. Level of evidence Level V—retrospective study. Study type This is a retrospective single‐institution study.

BACKGROUNDTo evaluate the impact of depression before autologous and allogeneic hematopoietic cell transplantation (HCT) on clinical outcomes post‐transplantation.METHODSWe analyzed data from the Center for International Blood and Marrow Transplant Research to compare outcomes after autologous (n = 3786) or allogeneic (n = 7433) HCT for adult patients with hematologic malignancies with an existing diagnosis of pre‐HCT depression requiring treatment versus those without pre‐HCT depression. Using Cox regression models, we compared overall survival (OS) between patients with or without depression. We compared the number of days alive and out of the hospital in the first 100 days post‐HCT using Poisson models. We also compared the incidence of grade 2‐4 acute and chronic graft‐versus‐host disease (GVHD) in allogeneic HCT.RESULTSThe study included 1116 (15%) patients with pre‐transplant depression and 6317 (85%) without depression who underwent allogeneic HCT between 2008 and 2012. Pre‐transplant depression was associated with lower OS (hazard ratio [HR], 1.13; 95% confidence interval [CI], 1.04‐1.23; P = 0.004) and a higher incidence of grade 2‐4 acute GVHD (HR, 1.25; 95% CI, 1.14‐1.37; P < 0.0001), but similar incidence of chronic GVHD. Pre‐transplant depression was associated with fewer days‐alive‐and‐out‐of‐the hospital (means ratio [MR] = 0.97; 95% CI, 0.95‐0.99; P = 0.004). There were 512 (13.5%) patients with Pre‐transplant depression and 3274 (86.5%) without depression who underwent autologous HCT. Pre‐transplant depression in autologous HCT was not associated with OS (HR, 1.15; 95% CI, 0.98‐1.34; P = 0.096) but was associated with fewer days alive and out of the hospital (MR, 0.98; 95% CI, 0.97‐0.99; P = 0.002).CONCLUSIONPre‐transplant depression was associated with lower OS and higher risk of acute GVHD among allogeneic HCT recipients and fewer days alive and out of the hospital during the first 100 days after autologous and allogeneic HCT. Patients with pre‐transplant depression represent a population that is at risk for post‐transplant complications. Cancer 2017;123:1828–1838. © 2017 American Cancer Society.

Key Clinical Message One of the strongest risk factors predisposing patients to breast cancer is a positive family history. In our study, we describe a patient diagnosed with multiple breast cancer tumors. Genetic analysis revealed a pathogenic variant in BARD1 , which is associated with an increased risk of developing certain types of cancer.