Robotic approach mitigates the effect of major complications on survival after pancreaticoduodenectomy for periampullary cancer.

BACKGROUND: Major complications (MCs) after pancreaticoduodenectomy (PD) are a known independent predictor of worse oncologic outcomes. There are limited data on the effect of major complications on long-term outcomes after robotic PD (RPD). The aim of this study is to compare the effect of MC on overall (OS) and disease-free survival (DFS) after RPD and open PD (OPD). METHODS: This is a single-center, retrospective review of a prospectively maintained database of all patients undergoing PD for periampullary cancer including ampullary adenocarcinoma, distal cholangiocarcinoma, and duodenal carcinoma. Univariate analysis was performed on all clinical, pathologic, and treatment factors. MCs were defined as Clavien-Dindo ≥ grade 3. Kaplan-Maier survival analysis was performed with log-rank test for group comparison. Multivariable Cox regression analysis was used to identify factors associated with overall survival (OS) in both the OPD and RPD groups. RESULTS: A total of 190 patients with ampullary carcinoma (n = 98), cholangiocarcinoma (n = 55), and duodenal adenocarcinoma (n = 37) were examined over the study period with 61.1% (n = 116) undergoing RPD and 38.9% (n = 74) undergoing OPD. There was no significant difference in patient demographics between the RPD and OPD cohorts. Furthermore, R0 resection rates, tumor size, and lymph node involvement were similar between the RPD and OPD cohorts. OPD had higher rate of MC (40.5% vs 28.3% in RPD, p = 0.011) including clinically relevant pancreatic fistula (25.7% vs 8.6%, p = 0.001) and wound infection (34.5% vs 13.8%, p < 0.001). MCs were associated with a lower OS in the OPD cohort (HR = 2.18, 95%CI 1.0-4.55, p = 0.038). MCs were not associated with OS in the RPD cohort (HR = 1.55, 95%CI 0.87-2.76, p = 0.14). CONCLUSION: MCs are associated with worse patient outcomes after OPD but not after RPD. Robotic approach mitigates and possibly abrogates the negative effects of MCs on patient outcomes after PD for malignancy and is associated with improved adjuvant chemotherapy completion rates.

Comparison of Bladder Carcinogens in the Urine of E-cigarette Users Versus Non E-cigarette Using Controls.

Electronic cigarette (EC) use is gaining popularity as a substitute for conventional smoking due to the perception and evidence it represents a safer alternative. In contrast to the common perception amongst users that ECs represent no risk initial studies have revealed a complex composition of e-cigarette liquids. Conventional cigarette smoking is a known risk factor for developing bladder cancer and prior reports raise concern some of those causative compounds may exist in EC liquids or vapor. Urine samples were collected from 13 e-cigarette using subjects and 10 non e-cigarette using controls. Five known bladder carcinogens that are either present in conventional cigarettes, products of combustion, or solvents believed to be used in some e-cigarette formulations were quantified by liquid chromatography - mass spectrometry (LC-MS). Analysis of e-cigarette user urine revealed the presence of two carcinogenic compounds, o-toluidine and 2-naphthylamine, at a mean 2.3 and 1.3 fold higher concentration (p-value of 0.0013 and 0.014 respectively). Many of these subjects (9/13) were long term nonsmokers (>12 months). Further study is needed to clarify the safety profile of e-cigarettes and their contribution to the development of bladder cancer given the greater concentration of carcinogenic aromatic amines in the urine of e-cigarette users.

Live-cell phenotypic-biomarker microfluidic assay for the risk stratification of cancer patients via machine learning.

The risk stratification of prostate cancer and breast cancer tumours from patients relies on histopathology, selective genomic testing, or on other methods employing fixed formalin tissue samples. However, static biomarker measurements from bulk fixed-tissue samples provide limited accuracy and actionability. Here, we report the development of a live-primary-cell phenotypic-biomarker assay with single-cell resolution, and its validation with prostate cancer and breast cancer tissue samples for the prediction of post-surgical adverse pathology. The assay includes a collagen-I/fibronectin extracellular-matrix formulation, dynamic live-cell biomarkers, a microfluidic device, machine-vision analysis and machine-learning algorithms, and generates predictive scores of adverse pathology at the time of surgery. Predictive scores for the risk stratification of 59 prostate cancer patients and 47 breast cancer patients, with values for area under the curve in receiver-operating-characteristic curves surpassing 80%, support the validation of the assay and its potential clinical applicability for the risk stratification of cancer patients.

TRI Microspheres prevent key signs of dry eye disease in a murine, inflammatory model.

Dry eye disease (DED) is a highly prevalent, ocular disorder characterized by an abnormal tear film and ocular surface. Recent experimental data has suggested that the underlying pathology of DED involves inflammation of the lacrimal functional unit (LFU), comprising the cornea, conjunctiva, lacrimal gland and interconnecting innervation. This inflammation of the LFU ultimately results in tissue deterioration and the symptoms of DED. Moreover, an increase of pathogenic lymphocyte infiltration and the secretion of pro-inflammatory cytokines are involved in the propagation of DED-associated inflammation. Studies have demonstrated that the adoptive transfer of regulatory T cells (Tregs) can mediate the inflammation caused by pathogenic lymphocytes. Thus, as an approach to treating the inflammation associated with DED, we hypothesized that it was possible to enrich the body's own endogenous Tregs by locally delivering a specific combination of Treg inducing factors through degradable polymer microspheres (TRI microspheres; TGF-ß1, Rapamycin (Rapa), and IL-2). This local controlled release system is capable of shifting the balance of Treg/T effectors and, in turn, preventing key signs of dry eye disease such as aqueous tear secretion, conjunctival goblet cells, epithelial corneal integrity, and reduce the pro-inflammatory cytokine milieu in the tissue.

An Inexpensive, Point-of-Care Urine Test for Bladder Cancer in Patients Undergoing Hematuria Evaluation.

Although hematuria (blood in urine) is the most common symptom of bladder cancer, 70-98% of hematuria cases are benign. These hematuria patients unnecessarily undergo costly, invasive, and expensive evaluation for bladder cancer. Therefore, there remains a need for noninvasive office-based tests that can rapidly and reliably rule out bladder cancer in patients undergoing hematuria evaluation. Herein, a clinical assay for matrix metalloproteinases ("Ammps") is presented, which generates a visual signal based on the collagenase activity (in urine of patients) on the Ammps substrates. Ammps substrates are generated by crosslinking gelatin with Fe(II) chelated alginate nanoparticles, which precipitate in urine samples. The cleavage of gelatin-conjugated alginate (Fe(II)) nanoparticles by collagenases generates free-floating alginate (Fe(II)) nanoparticles that participate in Fenton's reaction to generate a visual signal. In a pilot study of 88 patients, Ammps had 100% sensitivity, 85% specificity, and a negative predictive value (NPV) of 100% for diagnosing bladder cancer. This high NPV can be useful in ruling out bladder cancer in patients referred for hematuria evaluation.