Citations

Primary central nervous system (PCNSL) lymphoma is an aggressive extranodal non-Hodgkin lymphoma, and most cases are classified as diffuse large B-cell lymphoma (DLBCL) by histology. T-cell/histiocyte-rich large B-cell lymphoma (TCRLBCL) represents a distinct subtype of diffuse large B-cell lymphoma and is characterized by the presence of scattered large neoplastic B-cells in a background of abundant T-cells and histiocytes. This is in contrast to the dense perivascular cuffing of neoplastic B-cells in classic DLBCL. T-cell/histiocyte-rich large B-cell lymphoma should be considered in PCNSL cases in which neoplastic B-cells are sparse and scattered. Immunohistochemistry will help identify the B-cells and surrounding infiltrate rich in Tlymphocytes and histiocytes. Future studies exploring the biology of TCRLBCL and the crosstalk between the neoplastic cells and the surrounding inflammatory infiltrate may provide exciting prospects for future therapies for TCRLBCL.

Background— Contemporary data are lacking on the prognostic importance of heart failure (HF) after myocardial infarction (MI). We evaluated the prognostic impact of HF post MI according to preserved/reduced ejection fraction and the timing of its occurrence. Methods and Results— All Olmsted County, Minnesota, residents (n=2596) with incident MI diagnosed in 1990 to 2010 and no prior HF were followed through March 2013. Cox models were used to examine (1) the hazard ratios for death associated with HF type and timing and (2) secular trends in survival by HF status. During a mean follow-up of 7.6 years, there were 1116 deaths, 634 in the 902 patients who developed HF (70%) and 482 in the 1694 patients who did not develop HF (28%). After adjustment for age and sex, HF as a time-dependent variable was strongly associated with mortality (hazard ratio =3.31, 95% confidence interval: 2.93–3.75), particularly from cardiovascular causes (hazard ratio =4.20, 95% confidence interval: 3.50–5.03). Further adjustment for MI severity and comorbidity, acute treatment, and recurrent MI moderately attenuated these associations (hazard ratio =2.49 and 2.94 for all-cause and cardiovascular mortality, respectively). Mortality did not differ by ejection fraction, but was higher for delayed- versus early-onset HF ( P for heterogeneity =0.002). The age- and sex-adjusted 5-year survival estimates in 2001 to 2010 versus 1990 to 2000 were 82% and 81% among HF-free and 61% and 54% among HF patients, respectively ( P for heterogeneity of trends =0.05). Conclusions— HF markedly increases the risk of death after MI. This excess risk is similar regardless of ejection fraction but greater for delayed- versus early-onset HF. Mortality after MI declined over time, primarily as a result of improved HF survival.

Bacterial biofilms are associated with persistent infections and antibiotics resistance which substantially complicate patient care. Surface engineering of nanoparticles represents a novel and unconventional approach to disrupt biofilms and target bacterial pathogens.

AbstractBackgroundOverexpression of p16 is associated with improved outcomes among patients with oropharyngeal carcinoma. However, its role in the outcomes of patients with nasopharyngeal cancer (NPC) remains unclear.MethodsEighty‐six patients with NPC treated at MD Anderson Cancer Center from 2000 to 2014 were identified. Epstein‐Barr virus (EBV) and human papillomavirus (HPV) status were determined by in situ hybridization (ISH) and p16 by immunohistochemical staining.ResultsEBV positivity was associated with extended overall survival (OS; median, 95.0 vs 44.9 months; p < .004), progression‐free survival (PFS; median, 80.4 vs 28.1 months; p < .013), and locoregional control (median, 104.4 vs 65.5 months; p < .043). In patients with EBV‐positive tumors, p16 overexpression correlated with improved PFS (median, 106.3 vs 27.1 months; p < .02) and locoregional control (median, 93.6 vs 64.5 months; p < .02).ConclusionP16 overexpression is associated with improved PFS and locoregional control in patients with EBV‐positive NPC. P16 expression may complement EBV status in predicting treatment outcomes for patients with NPC. © 2015 Wiley Periodicals, Inc. Head Neck 38: E1459–E1466, 2016

AbstractBackground Electronic health records (EHRs) are increasingly used for clinical and translational research through the creation of phenotype algorithms. Currently, phenotype algorithms are most commonly represented as noncomputable descriptive documents and knowledge artifacts that detail the protocols for querying diagnoses, symptoms, procedures, medications, and/or text-driven medical concepts, and are primarily meant for human comprehension. We present desiderata for developing a computable phenotype representation model (PheRM).Methods A team of clinicians and informaticians reviewed common features for multisite phenotype algorithms published in PheKB.org and existing phenotype representation platforms. We also evaluated well-known diagnostic criteria and clinical decision-making guidelines to encompass a broader category of algorithms.Results We propose 10 desired characteristics for a flexible, computable PheRM: (1) structure clinical data into queryable forms; (2) recommend use of a common data model, but also support customization for the variability and availability of EHR data among sites; (3) support both human-readable and computable representations of phenotype algorithms; (4) implement set operations and relational algebra for modeling phenotype algorithms; (5) represent phenotype criteria with structured rules; (6) support defining temporal relations between events; (7) use standardized terminologies and ontologies, and facilitate reuse of value sets; (8) define representations for text searching and natural language processing; (9) provide interfaces for external software algorithms; and (10) maintain backward compatibility.Conclusion A computable PheRM is needed for true phenotype portability and reliability across different EHR products and healthcare systems. These desiderata are a guide to inform the establishment and evolution of EHR phenotype algorithm authoring platforms and languages.

Abstract Introduction Recent advances in stereotactic radiosurgery (SRS) have improved clinical outcomes in patients with limited intracranial metastases. As a result of this high-dose radiation delivery to a focal area within the brain, tissue structural and functional changes within the treatment field are often difficult to distinguish from local tumor recurrence based on conventional imaging techniques. Here, we demonstrate that elevation of circulating cells of myeloid origin, the key regulators of inflammation and immune responses, can serve as a potential surrogate marker to differentiate radiation-induced tissues changes from local tumor recurrence. Materials and Methods We retrospectively identified 96 patients who were initially treated with Gamma-knife radiosurgery at MD Anderson Cancer Center from 2009-2013 for brain metastases, and subsequently underwent surgical resection of previous irradiated lesions after presenting with clinical symptoms and radiographic findings suggestive of tumor progression. All surgical specimens were centrally reviewed by neuropathology. Pre-operative circulating blood cell profiles were analyzed for monocytic, granulocytic and lymphocytic sub-populations. Results A total of 11 and 85 patients who underwent surgical resection after prior SRS for brain metastasis were pathologically confirmed to have radiation-induced changes or tumor recurrence, respectively. Among patients with confirmed recurrence vs. those with radiation-induced changes, the number of circulating immature granulocytes (mean = 0.093 × 103ul−1 vs 0.032 × 103ul−1, p = 0.075) and monocytes (mean = 0.632 × 103ul−1 vs 0.401 × 103ul−1, p = 0.007) were elevated when compared to patients with radiation-induced changes (combined: mean = 0.71 × 103ul−1 vs 0.43 × 103ul−1, p = 0.002). No statistically significant differences were observed among mature granulocytic or lymphocytic populations between the two groups. Receiver operating characteristic analysis showed significant discriminative utility of pre-operative myeloid cell count when compared to reference line of no discrimination (AUC = 0.774, p = 0.003). The cut-point for myeloid cell population was found be &gt; = 0.5 × 103ul−1, which corresponds to a detection sensitivity of 73.3% and specificity of 72.7% for tumor recurrence. Conclusion Bone marrow cells of myeloid origin play important roles in mediate acute inflammatory reactions and in regulating adaptive immunity. We showed here that certain primitive cells of myeloid lineage may potentially be used to aid the differentiation of tumor recurrence from radiation-induced changes in patients who had SRS for brain metastasis. The identification of potential circulating biomarkers that can complement traditional imaging to distinguish the two distinct pathological entities has significant implications in the management of these patients. Note: This abstract was not presented at the meeting. Citation Format: Wen Jiang, Yvo Rodriguez, Nicolas S. Boehling, Sujit S. Prabhu, Betty Y.S. Kim, Patrick Hwu, Erik P. Sulman, Paul D. Brown, Jing Li. Circulating myeloid precursor profile as potential marker to differentiate radiation changes from tumor recurrence after brain stereotactic radiosurgery. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 532. doi:10.1158/1538-7445.AM2015-532