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Despite the importance of simulation-based training for robotic surgery, there is no consensus about its training curricula. Recently, a virtual reality (VR) platform (SimNow, Intuitive, Inc) was introduced with 33 VR drills but without evidence of their validity. As part of our creating a new robotic VR curriculum, we assessed the drills' validity through content mapping and the alignment between learning goals and drill content.Three robotically trained surgeons content-mapped all 33 drills for how well the drills incorporated 15 surgery skills and also rated the drills' difficulty, usefulness, relevance, and uniqueness. Drills were added to the new curriculum based on consensus about ratings and historic learner data. The drills were grouped according to similar skill sets and arranged in order of complexity.The 33 drills were judged to have 12/15 surgery skills as primary goals and 13/15 as secondary goals. Twenty of the 33 drills were selected for inclusion in the new curriculum; these had 11/15 skills as primary goals and 11/15 as secondary goals. However, skills regarding energy sources, atraumatic handling, blunt dissection, fine dissection, and running suturing were poorly represented in the drills. Three previously validated inanimate drills were added to the curriculum to address lacking skill domains.We identified 20 of the 33 SimNow drills as a foundation for a robotic surgery curriculum based on content-oriented evidence. We added 3 other drills to address identified gaps in drill content.

Neutrophil extracellular traps (NETs) occur when chromatin is decondensed and extruded from the cell, generating a web-like structure. NETs have been implicated in the pathogenesis of several sterile disease states and thus are a potential therapeutic target. Various pathways have been shown to induce NETs, including autophagy, with several key enzymes being activated like peptidyl arginine deiminase 4 (PAD4), an enzyme responsible for citrullination of histones, allowing for DNA unwinding and subsequent release from the cell. Pre-clinical studies have already demonstrated that chloroquine (CQ) and hydroxychloroquine (HCQ) are able to reduce NETs and slow disease progression. The exact mechanism as to how these drugs reduce NETs has yet to be elucidated. CQ and HCQ decrease NET formation from various NET activators, independent of their autophagy inhibitory function. CQ and HCQ were found to inhibit PAD4 exclusively, in a dose-dependent manner, confirmed with reduced CitH3+ NETs after CQ or HCQ treatment. Circulating CitH3 levels were reduced in pancreatic cancer patients after HCQ treatment. In silico screening of PAD4 protein structure identified a likely binding site interaction at Arg639 for CQ and Trp347, Ser468, and Glu580 for HCQ. SPR analysis confirmed the binding of HCQ and CQ with PAD4 with KD values of 54.1 µM (CQ) and 88.1 µM (HCQ). This data provide evidence of direct PAD4 inhibition as a mechanism for CQ/HCQ inhibition of NETs. We propose that these drugs likely reduce NET formation through multiple mechanisms; the previously established TLR9 and autophagy inhibitory mechanism and the novel PAD4 inhibitory mechanism.

The highly automated macromolecular crystallography beamline AMX/17-ID-1 is an undulator-based high-intensity (>5 × 1012 photons s−1), micro-focus (7 µm × 5 µm), low-divergence (1 mrad × 0.35 mrad) energy-tunable (5–18 keV) beamline at the NSLS-II, Brookhaven National Laboratory, Upton, NY, USA. It is one of the three life science beamlines constructed by the NIH under the ABBIX project and it shares sector 17-ID with the FMX beamline, the frontier micro-focus macromolecular crystallography beamline. AMX saw first light in March 2016 and started general user operation in February 2017. At AMX, emphasis has been placed on high throughput, high capacity, and automation to enable data collection from the most challenging projects using an intense micro-focus beam. Here, the current state and capabilities of the beamline are reported, and the different macromolecular crystallography experiments that are routinely performed at AMX/17-ID-1 as well as some plans for the near future are presented.

Robotic-assisted pancreatectomy continues to proliferate despite limited evidence supporting its benefits from the patient's perspective. We compared patient-reported outcomes (PROs) between patients undergoing robotic and open pancreatectomies.PROs, measured with the FACT-Hep, FACT-G, and HCS, were assessed in the immediate postoperative (i.e., preoperative to discharge) and recovery (i.e., discharge to three months postoperative) periods. Linear mixed models estimated the association of operative approach on PROs. Minimally important differences (MIDs) were also considered.Among 139 patients, 105 (75.5%) underwent robotic pancreatectomies. Compared to those who underwent open operations, those who underwent robotic operations experienced worse FACT-Hep scores that were both statistically and clinically significant (mean difference [MD] 8.6 points, 95% CI 1.0-16.3). Declines in FACT-G (MD 4.3, 95% CI -1.0 to 9.6) and HCS (MD 4.3, 95% CI 0.8-7.9) scores appeared to contribute equally in both operative approaches to the decline in total FACT-Hep score. Patients who underwent robotic versus open operations both statistically and clinically significantly improved due to improvements in HCS (MD 6.1, 95% CI 2.3-9.9) but not in FACT-G (MD 1.2, 95% CI - 5.1-7.4).The robotic approach to pancreas surgery might offer, from the patient's perspective, greater improvement in symptoms over the open approach by three months postoperatively.

Pancreatoduodenectomy (PD) remains associated with significant complication and readmission rates. Infection constitutes a significant proportion of morbidity. We aim to evaluate whether CT scans performed prior to discharge for suspected infection prevents readmission.A retrospective review of patients undergoing PD at a tertiary referral center from 2010 to 2018.A total of 982 patients underwent PD: 74% had no clinical infection at the index admission. Of the non-infected patients, 59% exhibited leukocytosis, 27% underwent a CT scan, and 33.6% were readmitted. Of the non-infected patients, 148 (20.3%) experienced major complications, and this was the strongest predictor of readmission (OR: 10.5, [95% CI: 6.5-17], p = 0.0001). In the non-infected patients who had major complications, CT scanning was predictive of lower risk of readmission (OR: 0.38, [95% CI: 0.17-0.83], p = 0.015). Leukocytosis was also found to be predictive of lower risk of readmission (OR: 0.42, [95% CI: 0.18-0.98], p = 0.044). These findings did not hold true for those who had yet to experience major complications on their index admission.CT scanning without evidence of infection was associated with reduction of readmission in the cohort with major complications and showed a trend towards preventing readmission in the overall cohort. Development of clinical algorithms to maximize the utility of this test is warranted.

We carry out two-dimensional (2-D) and three-dimensional(3-D) radiation-hydrodynamics (RHD) simulations of surface convection in stellar atmospheres warmer than the Sun (namely, with effective temperatures spanning 6600−9000 K) using the ANTARES numerical code. The resulting datasets will be used: 1) as benchmark to improve multi-dimensional atmospheric models for this type of stellar objects; 2) as the basis for computing synthetic spectra and other observable signatures (e. g. for asteroseismology applications) of the physical properties of relevant target stars; and 3) to investigate the stability of stellar irradiance on the time scales spanned by our simulations. We will continue extending the simulations to cover a time duration of up to several stellar days to study p-mode excitation and damping processes. Here, we present the planned grid of simulations and first results.

PURPOSE: Previous studies have shown health disparities among US-Mexico border county (BC) residents. However, the impact of BC residence on gastric cancer treatment and survival outcomes is unknown. Our study compares the receipt of guideline-concordant care (GCC) and survival for patients with gastric cancer by BC status. METHODS: We conducted a retrospective review of adult non-Hispanic White and Hispanic patients with gastric adenocarcinoma diagnosed between 2004 and 2017 in the Texas Cancer Registry. Chi-square tests were used to compare categorical group differences, with pooled t-tests used to compare group means. The impact of BC residence on likelihood of receiving GCC was assessed with logistic regression. Overall survival was estimated using the Kaplan-Meier method and compared with log-rank tests. RESULTS: Our cohort consisted of 12,514 patients (15% BC). Overall, 45% of nonborder county residents received GCC versus 35% of BC residents ( P < .0001). After adjusting for age, race, stage, and insurance status, BC patients remained significantly less likely to receive GCC (odds ratio 0.69; 95% CI, 0.61 to 0.78). BC residence was associated with increased hazard of all-cause mortality after accounting for age, race, stage, poverty index, and treatment receipt (hazard ratio 1.11; 95% CI, 1.04 to 1.18). BC residents had significantly worse overall survival for localized and regional disease. CONCLUSION: BC residents with gastric cancer are less likely to receive GCC and have significantly worse survival outcomes than nonborder county residents. This highlights significant health care disparities arising from the lack of health care access and multiple social determinants of health. Further studies are needed to identify specific contributing mechanisms to improve health care equity.

BACKGROUND & AIMS: The assessment of therapeutic response after neoadjuvant treatment and pancreatectomy for pancreatic ductal adenocarcinoma (PDAC) has been an ongoing challenge. Several limitations have been encountered when employing current grading systems for residual tumor. Considering endoscopic ultrasound (EUS) represents a sensitive imaging technique for PDAC, differences in tumor size between preoperative EUS and postoperative pathology after neoadjuvant therapy were hypothesized to represent an improved marker of treatment response. METHODS: For 340 treatment-naïve and 365 neoadjuvant-treated PDACs, EUS and pathologic findings were analyzed and correlated with patient overall survival (OS). A separate group of 200 neoadjuvant-treated PDACs served as a validation cohort for further analysis. RESULTS: Among treatment-naïve PDACs, there was a moderate concordance between EUS imaging and postoperative pathology for tumor size (r = 0.726, P < .001) and AJCC 8(th) edition T-stage (r = 0.586, P < .001). In the setting of neoadjuvant therapy, a decrease in T-stage correlated with improved 3-year OS rates (50% vs 31%, P < .001). Through recursive partitioning, a cutoff of ≥47% tumor size reduction was also found to be associated with improved OS (67% vs 32%, P < .001). Improved OS using a ≥47% threshold was validated using a separate cohort of neoadjuvant-treated PDACs (72% vs 36%, P < .001). By multivariate analysis, a reduction in tumor size by ≥47% was an independent prognostic factor for improved OS (P = .007). CONCLUSIONS: The difference in tumor size between preoperative EUS imaging and postoperative pathology among neoadjuvant-treated PDAC patients is an important prognostic indicator and may guide subsequent chemotherapeutic management.

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Baseline disease characteristics by treatment arm

Ferroptosis is a form of regulated cell death driven by oxidative injury promoting lipid peroxidation, although detailed molecular regulators are largely unknown. Here, we show that heatshock 70-kDa protein 5 (HSPA5) negatively regulates ferroptosis in human pancreatic ductal adenocarcinoma (PDAC) cells. Mechanistically, activating transcription factor 4 (ATF4) resulted in the induction of HSPA5, which in turn bound glutathione peroxidase 4 (GPX4) and protected against GPX4 protein degradation and subsequent lipid peroxidation. Importantly, the HSPA5–GPX4 pathway mediated ferroptosis resistance, limiting the anticancer activity of gemcitabine. Genetic or pharmacologic inhibition of the HSPA5–GPX4 pathway enhanced gemcitabine sensitivity by disinhibiting ferroptosis in vitro and in both subcutaneous and orthotopic animal models of PDAC. Collectively, these findings identify a novel role of HSPA5 in ferroptosis and suggest a potential therapeutic strategy for overcoming gemcitabine resistance. Cancer Res; 77(8); 2064–77. ©2017 AACR.

CCR Translation for This Article from Serum Biomarker Panels for the Detection of Pancreatic Cancer

Purpose: Serum–biomarker based screening for pancreatic cancer could greatly improve survival in appropriately targeted high-risk populations.Experimental Design: Eighty-three circulating proteins were analyzed in sera of patients diagnosed with pancreatic ductal adenocarcinoma (PDAC, n = 333), benign pancreatic conditions (n = 144), and healthy control individuals (n = 227). Samples from each group were split randomly into training and blinded validation sets prior to analysis. A Metropolis algorithm with Monte Carlo simulation (MMC) was used to identify discriminatory biomarker panels in the training set. Identified panels were evaluated in the validation set and in patients diagnosed with colon (n = 33), lung (n = 62), and breast (n = 108) cancers.Results: Several robust profiles of protein alterations were present in sera of PDAC patients compared to the Healthy and Benign groups. In the training set (n = 160 PDAC, 74 Benign, 107 Healthy), the panel of CA 19–9, ICAM-1, and OPG discriminated PDAC patients from Healthy controls with a sensitivity/specificity (SN/SP) of 88/90%, while the panel of CA 19–9, CEA, and TIMP-1 discriminated PDAC patients from Benign subjects with an SN/SP of 76/90%. In an independent validation set (n = 173 PDAC, 70 Benign, 120 Healthy), the panel of CA 19–9, ICAM-1 and OPG demonstrated an SN/SP of 78/94% while the panel of CA19–9, CEA, and TIMP-1 demonstrated an SN/SP of 71/89%. The CA19–9, ICAM-1, OPG panel is selective for PDAC and does not recognize breast (SP = 100%), lung (SP = 97%), or colon (SP = 97%) cancer.Conclusions: The PDAC-specific biomarker panels identified in this investigation warrant additional clinical validation to determine their role in screening targeted high-risk populations. Clin Cancer Res; 17(4); 805–16. ©2010 AACR.

Supplementary Data

Purpose:We hypothesized that autophagy inhibition would increase response to chemotherapy in the preoperative setting for patients with pancreatic adenocarcinoma. We performed a randomized controlled trial to assess the autophagy inhibitor hydroxychloroquine in combination with gemcitabine and nab-paclitaxel.Patients and Methods:Participants with potentially resectable tumors were randomized to two cycles of nab-paclitaxel and gemcitabine (PG) alone or with hydroxychloroquine (PGH), followed by resection. The primary endpoint was histopathologic response in the resected specimen. Secondary clinical endpoints included serum CA 19-9 biomarker response and margin negative R0 resection. Exploratory endpoints included markers of autophagy, immune infiltrate, and serum cytokines.Results:Thirty-four patients in the PGH arm and 30 in the PG arm were evaluable for the primary endpoint. The PGH arm demonstrated statistically improved Evans grade histopathologic responses (P = 0.00016), compared with control. In patients with elevated CA 19-9, a return to normal was associated with improved overall and recurrence-free survival (P < 0.0001). There were no differences in serious adverse events between arms and chemotherapy dose number was equivalent. The PGH arm had greater evidence of autophagy inhibition in their resected specimens (increased SQSTM1, P = 0.027, as well as increased immune cell tumor infiltration, P = 0.033). Overall survival (P = 0.59) and relapse-free survival (P = 0.55) did not differ between the two arms.Conclusions:The addition of hydroxychloroquine to preoperative gemcitabine and nab-paclitaxel chemotherapy in patients with resectable pancreatic adenocarcinoma resulted in greater pathologic tumor response, improved serum biomarker response, and evidence of autophagy inhibition and immune activity.

Progression-free survival by treatment arm: Primary Cohort

This file contains supplemental figures of clonogenic cell survival assay.

Comparative analysis of DAXX/ATRX protein expression and ALT in paired primary and metastatic PanNETs. Patient with a PanNET (A) that is characterized by loss of ATRX expression (C) and ALT (E) by telomere-specific FISH. Within 2 years, the patient developed a distant metastasis within a non-regional lymph node (B) that also demonstrates ATRX loss (D) and is ALT-positive (F).

Supplementary Figures S1-S2; Supplementary Tables S1-S2.

Purpose:Limited options exist for patients with advanced pancreatic cancer progressing after 1 or more lines of therapy. A phase II study in patients with previously treated metastatic pancreatic cancer showed that combining GVAX pancreas (granulocyte-macrophage colony-stimulating factor-secreting allogeneic pancreatic tumor cells) with cyclophosphamide (Cy) and CRS-207 (live, attenuated Listeria monocytogenes expressing mesothelin) resulted in median overall survival (OS) of 6.1 months, which compares favorably with historical OS achieved with chemotherapy. In the current study, we compared Cy/GVAX + CRS-207, CRS-207 alone, and standard chemotherapy in a three-arm, randomized, controlled phase IIb trial.Patients and Methods:Patients with previously treated metastatic pancreatic adenocarcinoma were randomized 1:1:1 to receive Cy/GVAX + CRS-207 (arm A), CRS-207 (arm B), or physician's choice of single-agent chemotherapy (arm C). The primary cohort included patients who had failed ≥2 prior lines of therapy, including gemcitabine. The primary objective compared OS between arms A and C in the primary cohort. The second-line cohort included patients who had received 1 prior line of therapy. Additional objectives included OS between all treatment arms, safety, and tumor responses.Results:The study did not meet its primary efficacy endpoint. At the final study analysis, median OS [95% confidence interval (CI)] in the primary cohort (N = 213) was 3.7 (2.9–5.3), 5.4 (4.2–6.4), and 4.6 (4.2–5.7) months in arms A, B, and C, respectively, showing no significant difference between arm A and arm C [P = not significant (NS), HR = 1.17; 95% CI, 0.84–1.64]. The most frequently reported adverse events in all treatment groups were chills, pyrexia, fatigue, and nausea. No treatment-related deaths occurred.Conclusions:The combination of Cy/GVAX + CRS-207 did not improve survival over chemotherapy. (ClinicalTrials.gov ID: NCT02004262)See related commentary by Salas-Benito et al., p. 5435

Kaplan-Meier curves comparing the cumulative probability of disease-specific survival (DSS) after surgical resection among PanNET patients that developed metastatic disease. No differences in patient DSS rates were detected with respect to ALT (A) and DAXX/ATRX protein expression (B).

Purpose: Pancreatic neuroendocrine tumors (PanNET) are a heterogeneous group of neoplasms with increasing incidence and unpredictable behavior. Whole-exome sequencing has identified recurrent mutations in the genes DAXX and ATRX, which correlate with loss of protein expression and alternative lengthening of telomeres (ALT). Both ALT and DAXX/ATRX loss were initially reported to be associated with a favorable prognosis; however, recent studies suggest the contrary. Our aims were to assess the prevalence and prognostic significance of ALT and DAXX/ATRX in both primary and metastatic PanNETs.Experimental Design: Telomere-specific FISH and DAXX/ATRX IHC was performed on a multi-institutional cohort of 321 patients with resected PanNET and 191 distant metastases from 52 patients. These results were correlated with clinicopathologic features, including disease-free survival (DFS) and disease-specific survival (DSS).Results: The prevalence of ALT and DAXX/ATRX loss in resected PanNETs was 31% and 26%, respectively, and associated with larger tumor size, higher WHO grade, lymph node metastasis, and distant metastasis (P < 0.001). The 5-year DFS and 10-year DSS of patients with ALT-positive and DAXX/ATRX-negative PanNETs were 40% and 50%, respectively, as compared with 96% and 89%, respectively, for wild-type PanNETs. Among distant metastases, ALT and DAXX/ATRX loss was 67% and 52%, respectively, and only occurred in the setting of an ALT-positive and DAXX/ATRX-negative primary PanNET. By multivariate analysis, both ALT and DAXX/ATRX loss were negative, independent prognostic factors for DFS.Conclusions: ALT and DAXX/ATRX loss in PanNETs was associated with shorter DFS and DSS and likely plays a significant role in driving metastatic disease. Clin Cancer Res; 23(2); 600–9. ©2016 AACR.

PDF file - 190K, (A-B): Combination of indomethacin, IFNa and poly-I:C induces the optimal pattern of chemokine expression in isolated cell cultures. (C-D): Combination of IFNa, poly-I:C and cyclooxygenase blockade is needed for the optimal and consistent modulation of chemokine production in metastatic colorectal cancer lesions

PDF file - 56K, HDIL-2 administration does not result in liver and idney dysfunction in mice.

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PDF file - 191K, Processing of tumors and marginal tissues

PDF file - 215K, Presence of Treg and Teff markers in tumors correlate with intra-tumoral expression of Teff- and Treg-attracting chemokines

Tumor infiltration with effector CD8+ T cells (Teff) predicts longer recurrence-free survival in many types of human cancer, illustrating the broad significance of Teff for effective immunosurveillance. Colorectal tumors with reduced accumulation of Teff express low levels of Teff-attracting chemokines such as CXCL10/IP10 and CCL5/RANTES. In this study, we investigated the feasibility of enhancing tumor production of Teff-attracting chemokines as a cancer therapeutic strategy using a tissue explant culture system to analyze chemokine induction in intact tumor tissues. In different tumor explants, we observed highly heterogeneous responses to IFNα or poly-I:C (a TLR3 ligand) when they were applied individually. In contrast, a combination of IFNα and poly-I:C uniformly enhanced the production of CXCL10 and CCL5 in all tumor lesions. Moreover, these effects could be optimized by the further addition of COX inhibitors. Applying this triple combination also uniformly suppressed the production of CCL22/MDC, a chemokine associated with infiltration of T regulatory cells (Treg). The Teff-enhancing effects of this treatment occurred selectively in tumor tissues, as compared with tissues derived from tumor margins. These effects relied on the increased propensity of tumor-associated cells (mostly fibroblasts and infiltrating inflammatory cells) to hyperactivate NF-κB and produce Teff-attracting chemokines in response to treatment, resulting in an enhanced ability of the treated tumors to attract Teff cells and reduced ability to attract Treg cells. Together, our findings suggest the feasibility of exploiting NF-κB hyperactivation in the tumor microenvironment to selectively enhance Teff entry into colon tumors. Cancer Res; 72(15); 3735–43. ©2012 AACR.

PDF file - 626K, Supplemental Fig. S1: Effect of Prdx6 loss-of-function or overexpression on development, growth, and localization of HPV8-induced papillomas Supplemental Fig. S2: Prdx6 overexpression does not affect induction of DNA double strand breaks, keratinocyte proliferation, mast cells or T cells during DMBA/TPA-induced skin carcinogenesis Suppl. Fig.S3: Prdx6 overexpression does not affect keratinocyte proliferation, inflammation or hemorrhage during HPV8-induced skin carcinogenesis Supplemental Fig. S4: Kinetics of lipid peroxidation in wild-type mice after TPA treatment

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PDF file - 86K, Transmission electron microscopy (TEM), ATP Quantification, and XF Bioenergetic Assay.

PDF file - 109K, CCL22 is predominantly expressed by HLA-DR+ APC, whereas CXCL10 and CCL5 are expressed by both HLA-DR positive and negative cells

PDF file - 176K, Elevated expression of CXCL10 and CCL5 in liver metastases compared to normal liver tissues: role of NF-KappaB

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PDF file - 428K, Supplemental Figure 1. Administration of rIL-2 inhibits tumor growth in murine hepatic metastasis model in a dose dependent fashion. Supplemental Figure 2. HDIL-2 alone or combined with CQ significantly inhibits Panc02 tumor growth, prolonging survival time in a hepatic metastasis model. Supplemental Figure 3. HDIL-2 combined with CQ inhibits Renca tumor growth in an hepatic metastasis model. Supplemental Figure 4. CQ treatment results in mitochondrial morphologic changes in MC38 cells. Supplemental Figure 5. Murine tumor cells are dependent on glycolysis. Supplemental Figure 6. Ethyl pyruvate alters tumor cell metabolism. Supplemental Figure 7. Proposed mechanisms of autophagy inhibition during HDIL-2 immunotherapy promoting long term tumor regression.

PDF file - 63K, Tregs are preferentially attracted by untreated tumors

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One often observes small but measurable differences in the diffraction data measured from different crystals of a single protein. These differences might reflect structural differences in the protein and may reveal the natural dynamism of the molecule in solution. Partitioning these mixed-state data into single-state clusters is a critical step that could extract information about the dynamic behavior of proteins from hundreds or thousands of single-crystal data sets. Mixed-state data can be obtained deliberately (through intentional perturbation) or inadvertently (while attempting to measure highly redundant single-crystal data). To the extent that different states adopt different molecular structures, one expects to observe differences in the crystals; each of the polystates will create a polymorph of the crystals. After mixed-state diffraction data have been measured, deliberately or inadvertently, the challenge is to sort the data into clusters that may represent relevant biological polystates. Here, this problem is addressed using a simple multi-factor clustering approach that classifies each data set using independent observables, thereby assigning each data set to the correct location in conformational space. This procedure is illustrated using two independent observables, unit-cell parameters and intensities, to cluster mixed-state data from chymotrypsinogen (ChTg) crystals. It is observed that the data populate an arc of the reaction trajectory as ChTg is converted into chymotrypsin.