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Long series of observation of the atmospheric dynamics and composition are collected at the French Pyrenean Platform for the Observation of the Atmosphere (P2OA). Planetary boundary layer depth is a key variable of the climate system, but it remains difficult to estimate and analyse statistically by use of long series. In order to obtain reliable estimates of the convective boundary layer height (Zi) and to allow long-term series analyses, a new restitution algorithm, named CALOTRITON, has been developed, based on the observations of a Ultra High Frequency (UHF) wind profiler radar from P2OA, with the help of other instruments for evaluation. Zi estimates are based on the principle that the top of the convective boundary layer is associated with both a marked inversion and a decrease of turbulence. Those two criteria are respectively manifested by larger radar reflectivity and smaller vertical velocity Doppler spectral width. With this in mind, we introduce a new UHF- deduced dimensionless parameter which weights the air refractive index coefficient with the inverse of vertical velocity standard deviation to the power x. We then search for the most appropriate local maxima of this parameter for Zi estimates, with defined criteria and constraints, like temporal continuity. Given that Zi should correspond to fair weather cloud base height, we use ceilometer data to optimize our choice of the power x, and find that x = 3 gives the best comparisons/results. The estimates of Zi by CALOTRITON are evaluated using different Zi estimates deduced from radiosounding, according to different definitions. The comparison shows excellent results with a regression coefficient of up to 0.96 and a root mean square error of 80 m, close to the vertical resolution of the UHF of 75 m, when conditions are optimal. In more complex situations, that is when the atmospheric vertical structure is itself particularly ambiguous, secondary retrievals allow us to identify potential thermal internal boundary layers or residual layers, and help to qualify the Zi estimations. Frequent estimate errors are nevertheless observed when Zi is below the UHF first reliable gate, but also at the end of the day, when the boundary layer begins its transition to a stable nighttime boundary layer.

The overall objective of the Land surface Interactions with the Atmosphere over the Iberian Semi-arid Environment (LIAISE) project is to improve the understanding of land-atmosphere and hydrology interactions in a semi-arid region characterized by strong surface heterogeneity owing to contrasts between the natural landscape and intensive, irrigated agriculture. It is known that irrigation can potentially impact the local atmospheric boundary layer (ABL) characteristics, thereby modifying near surface atmospheric conditions within and downwind of irrigated areas (e.g., Lawston et al., 2020) and potentially the recycling of precipitation. The understanding of the impact of anthropization and its representation in models have been inhibited due to a lack of consistent and extensive observations. In recent years, land surface and atmospheric observation capabilities have advanced while irrigated surfaces have been increasing, leading to a renewed need for dedicated field campaigns over contrasting (climate) regions.We present a summary of the LIAISE field campaign intensive phase between July 15–29 2021, which took place over the Catalan counties of Urgell and Pla d'Urgell within the Ebro basin in north-eastern Spain. LIAISE is located in a semi-arid hot, dry Mediterranean climate, with a very sharp delineation between a vast, nearly continuous intensively-irrigated region and the generally much more dry rain-fed zone to the east of the study domain. Intensive, spatially distributed surface-based and airborne measurements of the atmospheric boundary layer were made, along with intensive eco-physiological observations and remotely-sensed high spatial resolution mesoscale measures of surface variables from aircraft and unmanned aerial vehicles (UAVs). Two energy budget sites were extended with a network of soil moisture sensors since they were used to evaluate remote sensing data from aircraft. More than 30 institutions took part in the campaign covering a wide range of expertise and spatiotemporal scales in the methods involved, be it through modelling or measurements.In this contribution we will elaborate on the spatial and temporal scales involved in the processes of evapotranspiration. We will make a strong case for integrated approaches combining observation and modelling techniques to further develop our understanding of evapotranspiration. This will be illustrated with a case study using a mixed layer column model heavily guided and constrained by measurements.

Background & Aims Microvascular invasion (MVI) is a critical prognostic factor for operable hepatocellular carcinoma (HCC). This study aimed to explore the performance of circulating tumour DNA (ctDNA) in evaluating MVI status preoperatively. Methods Seventy‐three HCC patients were enrolled and randomly divided into a training cohort and a validation cohort in a 2:1 ratio, and preoperative blood and surgical tissue samples were obtained. Genomic alterations were analysed using targeted deep sequencing with a 1021‐gene panel. Results In training cohort, 260 somatic mutations were identified in 40 blood samples (81.6%). CtDNA mutation was verified in paired tissue sample in 39 patients (97.5%). In univariate analysis, ctDNA allele frequency (AF) and largest tumour diameter were associated with the presence of MVI, but ctDNA AF was the only independent risk factor in multivariate analysis. With the cut‐off value of 0.83%, ctDNA AF determined the presence of MVI with the sensitivity of 89.7% and specificity of 80.0% in the training cohort, and the sensitivity of 78.6% and the specificity of 81.8% in the validation cohort. In preoperative evaluation, ctDNA AF, AFP level and BCLC staging were associated with recurrence‐free survival in both univariate and multivariate analysis. Conclusions CtDNA can serve as an independent risk factor of MVI for operable HCC and help determining precise treatment strategies. The integration of ctDNA in the management of operable HCC may achieve better clinical outcomes.

It is known that irrigation can impact the local atmospheric boundary layer characteristics, thereby modifying near surface atmospheric conditions within and downwind of irrigated areas and potentially the recycling of precipitation. The understanding of the impact of anthropization and its representation in models have been inhibited due to a lack of consistent and extensive observations, but in recent years, land surface and atmospheric observation capabilities have advanced. The overall objective of the Land surface Interactions with the Atmosphere over the Iberian Semi-arid Environment (LIAISE) project is to improve the understanding and prediction of land-atmosphere-hydrology interactions in a semi-arid region characterized by strong surface heterogeneity between the natural landscape and intensive agriculture. The study region is located over the Pla d’Urgell region within the Ebro basin in NE Spain. This area was selected since it is a breadbasket region: there are discussions underway to further expand this irrigated zone owing to its economic importance, but consensus of current climate projections predicts a significant warming and drying over this region in upcoming years. Thus there is an urgent need to improve the prediction of the potential changes to the regional water cycle since water resources are limited. Here we present an overview of the intense phase of the LIAISE observational campaign, which is part of the HYdrological cycles in the Mediterranean Experiment (HyMeX) phase 2, that took place in July, 2021 when land surface heterogeneity was at a maximum. A network of 7 stations provided continuous measurements of the surface energy and water budget components for multiple representative land cover types, including irrigated surfaces, along with detailed surface biophysical measurements from the leaf to field scale. Surface fluxes at the field scale were made using scintillometer configurations over 3 of the sites. Lower atmospheric measurements were obtained from tethered balloons, lidar, UHF profilers, frequent radio-sounding releases, UAVs and several aircraft. Finally, airborne instruments measured solar induced florescence, surface temperature over several spectral bands and soil moisture over a transect cutting across the rain-fed and irrigated areas. The main outcome of this project is to provide the underpinnings for improved models leading to better water resource impact studies for both the present and under future climate change.

Land surface-atmosphere interactions determine the atmospheric boundary layer (ABL) features, and in the case of semi-arid regions the water availability in the upper ground strongly conditions the surface energy balance and in general the observed dominant processes. In the Land surface Interactions with the Atmosphere over the Iberian Semi-arid Environment project (LIAISE, Boone et al. 2021), an observational campaign took place in the eastern Ebro river sub-basin between spring and fall 2021 to study the land/atmosphere interactions and the effect of the surface heterogeneities on the ABL in a semi-arid environment, enclosing a large irrigated area in summer. The combined analysis of the ground-based observations, ABL atmospheric measurements (including aircraft and remote-sensing data) and modelling is expected to improve the understanding of processes affecting exchange fluxes between the surface and the atmosphere, especially evapotranspiration, and to allow exploring the local and mesoscale circulations induced by the surface heterogeneities.A first mesoscale modelling inter-comparison for a summer event in the LIAISE area is intended to evaluate the performance of the participating models compared to the observations and explore the differences between them. Participant models are run at their standard configurations to evaluate the representation of the surface features in the numerical models and its impact in the organisation of the flow at lower levels. Besides, some sensitivity tests are made (initial and lateral boundary conditions, resolution or representation of the surface features, among others) to identify the importance of some model parameters in the model results.Four models participate in the inter-comparison: MesoNH, WRF, UKMO Unified Model and MOLOCH. They are run with similar horizontal (2km x 2km and 400m x 400m for the outer and inner domains) and vertical (2m at lower levels and stretched above) grid meshes. A 48-h integration is made between 16 and 18 July 2016 for a case under a high-pressure system centred over NW France, with well-developed thermally-driven circulations in the Ebro Basin. Sea breezes are found at the coast and seem to reach the basin after surmounting the mountain coastal range.Model results are validated using data from the surface stations of the Servei Meteorològic de Catalunya network (very dense in the studied region). It is found that each model has a different representation of the surface heterogeneities affecting the grid values of the surface fluxes. Nevertheless, the mesoscale circulations generated by the models are very close being the differences lying mostly at smaller scales, namely the ABL characteristics, the values of the exchange fluxes at the surface or the state of the surface and the soil. The challenge at this point is to relate the model biases to the particularities of the parameterisations and of the physiographic data bases used by each model. This model inter-comparison is expected to point improvements in the definitions of the setup of each model for a later phase, when the model simulations will be validated using observations from the recent LIAISE experimental field campaign.

98 Background: Salvage treatments for refractory mCRC are an unmet need. This study determined the safety and Recommended Phase 2 Dose (RP2D) of the multi-kinase inhibitor Cabo in combination with FDT/TPI in mCRC. Methods: Single institution investigator-initiated phase 1 study using 3+3 design. Patients (pts) with mCRC previously treated with a fluoropyrimidine, oxaliplatin, irinotecan and appropriate biologics were eligible. Cabo was given orally (p.o.) at 20 mg (dose level [DL] 0) or 40 mg (DL 1) daily on days 1-28, and FTD/TPI p.o. at 35 mg/m2 on days 1-5 and 8-12 every 28 days. Prophylactic growth factors were allowed. The primary endpoint was Dose Limiting Toxicity (DLT) at 28 days. Secondary endpoints included overall survival (OS), progression-free survival (PFS), objective response rate and CEA response. Results: 12 pts were enrolled. Median age 57 years (31-80), male (9/12), ECOG 0/1 = 7/5, Caucasian/Hispanic/Asian = 7/4/1. 3 pts were treated at DL 0 with no observed DLT. Another 9 pts (n = 6 pts to determine RPD2 and additional n = 3 pts in expansion) were treated at DL 1, none exhibiting a DLT. The most common any grade (G) treatment related adverse events (TRAE) were diarrhea (50%), nausea (42%), neutropenia (42%), fatigue (33%) and rash (25%). G3-4 TRAE in > 5% of patients were neutropenia (25%) and thrombocytopenia, hypokalemia, weight loss (each 8%). No serious TRAE or G5 were reported. The RP2D was determined to be DL 1. Median PFS and OS were 4.1 (95% CI 1.9-6.8) and 6.7 (95% CI 2.2-not evaluable) months, respectively. The disease control rate was 75%. 5/12 (42%) pts had a CEA decline > 30%. Conclusions: The combination of Cabo and FTD/TPI is feasible and tolerable and showed encouraging clinical activity in refractory mCRC. Additional pts are being enrolled at DL 1 and will be presented at the meeting. Clinical trial information: NCT04868773 .

Land surface-atmosphere interactions determine the atmospheric boundary layer (ABL) features, and in the case of semi-arid regions the water availability in the upper ground strongly conditions the surface energy balance and in general the observed dominant processes. LIAISE (Land surface Interactions with the Atmosphere over the Iberian Semi-arid Environment, eastern Ebro sub-basin) is an observational campaign planned between spring and fall 2021 designed to study the land/atmosphere interactions and the effect of the surface heterogeneities on the ABL in a semi-arid environment enclosing a large irrigated area in summer.The combined analysis of the ground-based observations and ABL atmospheric measurements, including aircraft and remote-sensing data, is expected to improve the understanding of processes affecting exchange fluxes between the surface and the atmosphere, especially evapotranspiration, and to allow exploring the local and mesoscale circulations induced by the surface heterogeneities. In this sense, mesoscale simulations will be performed over the eastern Ebro sub-basin to contribute to this understanding while evaluating the representation of the surface features in the numerical models and its impact in the organisation of the flow at lower levels.A first mesoscale modelling inter-comparison for a 2016 summer event in the LIAISE area, is under progress, intended to evaluate the performance of the participating models compared to the observations and explore the differences between them, trying to understand the reasons behind them. In this initial phase the models are run at their standard configurations and the comparison is expected to allow improvements in the definitions of the setup of each model for a later phase.Four models participate in the inter-comparison: MesoNH, WRF, UKMO Unified Model and MOLOCH. They are run with similar horizontal (2km x 2km and 400m x 400m for the outer and inner domains) and vertical (2m at lower levels and stretched above) grid meshes and, in this first phase, using their default setup. A 48-h integration is made between 16 and 18 July 2016 for a case under a high-pressure system centred over NW France, with well developed thermally-driven circulations in the Ebro Basin. Sea breezes are found at the coast and seem to reach the basin after surmounting the mountain coastal range.Preliminary results show that each model has a different representation of the surface heterogeneities affecting the grid values of the surface fluxes. Nevertheless, the mesoscale circulations generated by them do not differ significantly between models, the differences lying mostly at smaller scales, namely the ABL characteristics, the values of the exchange fluxes at the surface or the state of the surface and the soil. The challenge at this point is to relate the observed differences to the particularities of the parameterisations and of the physiographic data bases used by each model.

The Iceland and Greenland Seas are a crucial region for the climate system, being the headwaters of the lower limb of the Atlantic Meridional Overturning Circulation. Investigating the atmosphere–ocean–ice processes in this region often necessitates the use of meteorological reanalyses—a representation of the atmospheric state based on the assimilation of observations into a numerical weather prediction system. Knowing the quality of reanalysis products is vital for their proper use. Here we evaluate the surface-layer meteorology and surface turbulent fluxes in winter and spring for the latest reanalysis from the European Centre for Medium-Range Weather Forecasts, i.e., ERA5. In situ observations from a meteorological buoy, a research vessel, and a research aircraft during the Iceland–Greenland Seas Project provide unparalleled coverage of this climatically important region. The observations are independent of ERA5. They allow a comprehensive evaluation of the surface meteorology and fluxes of these subpolar seas and, for the first time, a specific focus on the marginal ice zone. Over the ice-free ocean, ERA5 generally compares well to the observations of surface-layer meteorology and turbulent fluxes. However, over the marginal ice zone, the correspondence is noticeably less accurate: for example, the root-mean-square errors are significantly higher for surface temperature, wind speed, and surface sensible heat flux. The primary reason for the difference in reanalysis quality is an overly smooth sea-ice distribution in the surface boundary conditions used in ERA5. Particularly over the marginal ice zone, unrepresented variability and uncertainties in how to parameterize surface exchange compromise the quality of the reanalyses. A parallel evaluation of higher-resolution forecast fields from the Met Office's Unified Model corroborates these findings. publishedVersion

This article presents a land–atmosphere case-study for a single day during monsoon onset, incorporating data from a research aircraft, satellite products and model outputs. The unique aircraft observations reveal temperature and humidity contrasts of up to 5 K and 4 g/kg in the planetary boundary layer induced by spatial variations in soil moisture. Both antecedent rain and irrigation were found to be drivers of this atmospheric variability. There is also evidence of soil moisture-induced mesoscale circulations above some surfaces. This is the first time such responses have been observed in situ over India. Soil moisture-driven temperature anomalies are larger than those found in previous observational studies in the African Sahel. Moreover, irrigation in the region is extensive, unlike in the Sahel, and has a similar atmospheric effect to antecedent rainfall. This implies that historical changes in irrigation practices are likely to have had an important influence on mesoscale processes within the Indian monsoon. We also examine evidence linking soil moisture and cloud formation. Above wetter soils we observed a suppression of shallow cloud, whilst the initiation of deep convection occurred mostly in areas affected by wet–dry soil moisture boundaries. To investigate the impact of soil moisture heterogeneity on large-scale wind flow, three model depictions of the day are assessed: the European Centre for Medium-Range Weather Forecasts ERA-Interim and ERA5 reanalyses, and a high-resolution (1.5 km) simulation generated using the Indian National Centre for Medium Range Weather Forecasting regional convection-permitting Unified Model. We find evidence indicating surface flux uncertainties in the models lead to ∼3.5 hPa anomalies in the monsoon trough. This does affect the simulation of monsoon circulation and rainfall. Better representation of mesoscale land–atmosphere coupling is likely to improve the depiction of convection within weather and climate models over India.

The Saharan Air Layer (SAL) in the summertime eastern Atlantic is typically well mixed and 3–4 km deep, overlying the marine boundary layer (MBL). In this paper, we show experimental evidence that at times a very different structure can be observed. During the AERosol properties – Dust (AER-D) airborne campaign in August 2015, the typical structure described above was observed most of the time, and was associated with a moderate dust content yielding an aerosol optical depth (AOD) of 0.3–0.4 at 355 nm. In an intense event, however, an unprecedented vertical structure was observed close to the eastern boundary of the basin, displaying an uneven vertical distribution and a very large AOD (1.5–2), with most of the dust in a much lower level than usual (0.3–2 km). Estimated dust concentrations and column loadings for all flights during the campaign spanned 300–5500 and 0.8–7.5 g m−2, respectively. The shortwave direct radiative impact of the intense dust event has been evaluated to be as large as -260±30 and -120±15 W m−2 at the surface and top of atmosphere (TOA), respectively. We also report the correlation of this event with anomalous lightning activity in the Canary Islands. In all cases, our measurements detected a broad distribution of aerosol sizes, ranging from ∼0.1 to ∼80 µm (diameter), thus highlighting the presence of giant particles. Giant dust particles were also found in the MBL. We note that most aerosol models may miss the giant particles due to the fact that they use size bins up to 10–25 µm. The unusual vertical structure and the giant particles may have implications for dust transport over the Atlantic during intense events and may affect the estimate of dust deposited to the ocean. We believe that future campaigns could focus more on events with high aerosol load and that instrumentation capable of detecting giant particles will be key to dust observations in this part of the world.

During the summertime, dust from the Sahara can be efficiently transported westwards within the Saharan air layer (SAL). This can lead to high aerosol loadings being observed above a relatively clean marine boundary layer (MBL) in the tropical Atlantic Ocean. These dust layers can impart significant radiative effects through strong visible and IR light absorption and scattering, and can also have indirect impacts by altering cloud properties. The processing of the dust aerosol can result in changes in both direct and indirect radiative effects, leading to significant uncertainty in climate prediction in this region. During August 2015, measurements of aerosol and cloud properties were conducted off the coast of west Africa as part of the Ice in Cloud Experiment – Dust (ICE-D) and AERosol properties – Dust (AER-D) campaigns. Observations were obtained over a 4-week period using the UK Facility for Atmospheric Airborne Measurements (FAAM) BAe 146 aircraft based on Santiago Island, Cabo Verde. Ground-based observations were collected from Praia (14°57′ N, 23°29′ W; 100 m a.s.l.), also located on Santiago Island. The dust in the SAL was mostly sampled in situ at altitudes of 2–4 km, and the potential dust age was estimated by backward trajectory analysis. The particle mass concentration (at diameter d = 0.1–20 µm) decreased with transport time. Mean effective diameter (Deff) for supermicron SAL dust (d = 1–20 µm) was found to be 5–6 µm regardless of dust age, whereas submicron Deff (d = 0.1–1 µm) showed a decreasing trend with longer transport. For the first time, an airborne laser-induced incandescence instrument (the single particle soot photometer – SP2) was deployed to measure the hematite content of dust. For the Sahel-influenced dust in the SAL, the observed hematite mass fraction of dust (FHm) was found to be anti-correlated with the single scattering albedo (SSA, λ = 550 nm, for particles d FHm increased from 2.5 to 4.5 %, SSA decreased from 0.97 to 0.93 and the derived imaginary part (k) of the refractive index at 550 nm increased from 0.0015 to 0.0035. However, the optical properties of Sahara-influenced plumes (not influenced by the Sahel) were independent of dust age and hematite content with SSA ∼ 0.95 and k ∼ 0.0028. This indicates that the absorbing component of dust may be source dependent, or that gravitational settling of larger particles may lead to a higher fraction of more absorbing clay–iron aggregates at smaller sizes. Mie calculation using the measured size distribution and size-resolved refractive indices of the absorbing components (black carbon and hematite) reproduces the measured SSA to within ±0.02 for SAL dust by assuming a goethite ∕ hematite mass ratio of 2. Overall, hematite and goethite constituted 40–80 % of the absorption for particles d

Purpose: Determination of microsatellite instability (MSI) by PCR is the gold standard; however, IHC of mismatch repair (MMR) proteins is frequently performed instead. The reliability of these methods on postneoadjuvant therapy specimens is unknown. We examined the effect of neoadjuvant therapy on MSI results by PCR and IHC. Experimental design: A total of 239 colorectal cancers resected after neoadjuvant therapy were assessed for MSI with PCR and IHC. PCR and IHC results for matched paired pre- and posttreatment specimens were compared. In parallel, 2 isogenic cell lines conditioned for MMR functioning and 2 different patient-derived xenografts (PDXs) were exposed to chemotherapy, radiation, or both. We also examined whether establishment of PDXs induced MSI changes in 5 tumors. IHC and MSI were tested after treatment to assess for changes. Results: We identified paired pre- and posttreatment specimens for 37 patients: 2 with PCR only, 34 with IHC only, and 1 with both. All 3 patients with PCR had microsatellite stable pre- and posttreatment specimens. Of the 35 patients with IHC, 30 had intact MMR proteins in pre- and posttreatment specimens, 1 had equivocal MLH1 staining in the pretreatment and loss in the posttreatment specimen, and 4 had intact pretreatment MSH6 but variable posttreatment staining. In the experimental setting, no changes in MSI status were detected after treatment or tumor implantation in animals. Conclusions: Our findings show that the expression of MMR proteins, commonly MSH6, can change after neoadjuvant therapy and confirm PCR as the gold-standard test for MSI after neoadjuvant therapy. Clin Cancer Res; 23(17); 5246–54. ©2017 AACR.

// Jennifer B. Goldstein 1 , Chad Tang 2 , Kenneth R. Hess 3 , David Hong 4 , Vivek Subbiah 4 , Filip Janku 4 , Siqing Fu 4 , Daniel D. Karp 4 , Aung Naing 4 , Apostolia Maria Tsimberidou 4 , Jennifer Wheler 4 , Ralph Zinner 4 , Milind Javle 5 , Gauri R. Varadhachary 5 , Robert A. Wolff 5 , David R. Fogelman 5 , Funda Meric-Bernstam 4 and Sarina A. Piha-Paul 4 1 Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA 2 Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA 3 Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA 4 Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA 5 Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA Correspondence to: Jennifer B. Goldstein, email: jbgoldstein@mdanderson.org Keywords: pancreatic cancer, phase I trial, biomarker, chemotherapy, targeted therapy Received: November 02, 2016 Accepted: July 17, 2017 Published: August 03, 2017 ABSTRACT Background: In 2011, we reported the outcomes of pancreatic cancer (PC) patients enrolled in phase I trials at our institution from 2004 through 2009. At the time, gemcitabine and erlotinib were the only Food and Drug Administration-approved drugs for PC and median overall survival (OS) from consultation in the phase I clinic was 5 months. We sought to determine the impact of novel therapeutics on PC patients in phase I trials. Methods: We reviewed records of PC patients treated in phase I trials at our institution from January 2009 through December 2014. Survival was analyzed using the Kaplan-Meier method. Results: Ninety-five patients were identified. The median age was 61 years (range, 40-84), 59% were men, and 41% had stage IV disease. The median OS from consultation in the phase I clinic was 5.8 months (95% confidence interval [CI], 4.5-6.8), and the 1-year OS rate was 9% (95% CI, 4%-17%). Three patients had partial responses and 18 had stable disease ≥ 4 months. Conclusion: We observed no improvement in OS between PC patients enrolled in phase I trials in 2004-2009 and 2009-2015. To substantially improve OS in this challenging disease, improved patient selection and science-driven, innovative trial designs will be key.

A limitation of the Met Office operational data assimilation scheme is that surface-sensitive infrared satellite sounding channels cannot be used during daytime periods where numerical weather prediction (NWP) model background land surface temperature (LST) biases are greater than 2 K in magnitude. The Met Office Unified Model (UM) has a significant cold LST bias in semi-arid regions when compared with satellite observations; a range of UM configurations were assessed with different model resolutions, land surface cover datasets and bare soil parameterisations. UM LST biases were evaluated at global resolution and in a limited area model (LAM) at a 2.2 km resolution over the SALSTICE (Semi-Arid Land Surface Temperature and IASI Calibration Experiment) experimental domain in south-eastern Arizona. This validation is in conjunction with eddy-covariance flux tower measurements. LST biases in the Global Atmosphere/Land 3.1 (GA/L3.1) configuration were largest in the mid-morning with respect to Moderate Resolution Imaging Spectroradiometer (MODIS) Terra (-13.6±2.8 K at the Kendall Grassland site). The diurnal cycle of LST in Global Atmosphere/Land 6.1 (GA/L6.1) showed a significant improvement relative to GA/L3.1 with the cold LST biases reduced to -1.4±2.7 K and -3.6±3.0 K for Terra and Aqua overpasses, respectively. The higher-resolution LAM showed added value over the global configurations. The spatial distribution of the LST biases relative to MODIS and the modelled bare soil cover fraction were found to be moderately correlated (0.61±0.08) during the daytime, which suggests that regions of cold LST bias are associated with low bare soil cover fraction. Coefficients of correlation with the shrub surface fractions followed the same trend as the bare soil cover fraction, although with a less significant correlation (0.36±0.09), and indicated that the sparse vegetation canopies in south-eastern Arizona are not well represented in UM ancillary datasets. The x component of the orographic slope was positively correlated with the LST bias (0.41±0.05 for MODIS Aqua) and identified that regions of cold model LST bias are found on easterly slopes, and regions of warm model LST bias are found on westerly slopes. An overestimate in the modelled turbulent heat and moisture fluxes at the eddy-covariance flux sites was found to be coincident with an underestimate in the ground heat flux.

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We present observations of biomass burning aerosol from the South American Biomass Burning Analysis (SAMBBA) and other measurement campaigns, and use these to evaluate the representation of biomass burning aerosol properties and processes in a state-of-the-art climate model. The evaluation includes detailed comparisons with aircraft and ground data, along with remote sensing observations from MODIS and AERONET. We demonstrate several improvements to aerosol properties following the implementation of the Global Model for Aerosol Processes (GLOMAP-mode) modal aerosol scheme in the HadGEM3 climate model. This predicts the particle size distribution, composition, and optical properties, giving increased accuracy in the representation of aerosol properties and physical–chemical processes over the Coupled Large-scale Aerosol Scheme for Simulations in Climate Models (CLASSIC) bulk aerosol scheme previously used in HadGEM2. Although both models give similar regional distributions of carbonaceous aerosol mass and aerosol optical depth (AOD), GLOMAP-mode is better able to capture the observed size distribution, single scattering albedo, and Ångström exponent across different tropical biomass burning source regions. Both aerosol schemes overestimate the uptake of water compared to recent observations, CLASSIC more so than GLOMAP-mode, leading to a likely overestimation of aerosol scattering, AOD, and single scattering albedo at high relative humidity. Observed aerosol vertical distributions were well captured when biomass burning aerosol emissions were injected uniformly from the surface to 3 km. Finally, good agreement between observed and modelled AOD was gained only after scaling up GFED3 emissions by a factor of 1.6 for CLASSIC and 2.0 for GLOMAP-mode. We attribute this difference in scaling factor mainly to different assumptions for the water uptake and growth of aerosol mass during ageing via oxidation and condensation of organics. We also note that similar agreement with observed AOD could have been achieved with lower scaling factors if the ratio of organic carbon to primary organic matter was increased in the models toward the upper range of observed values. Improved knowledge from measurements is required to reduce uncertainties in emission ratios for black carbon and organic carbon, and the ratio of organic carbon to primary organic matter for primary emissions from biomass burning.

Background Mucoepidermoid pancreatic cancer is a rare entity with only 8 cases reported in the literature. On review of the literature, the authors found that cutaneous metastases in pancreatic cancer are rare and have not been associated with the mucoepidermoid subtype. The authors present the first reported case of cutaneous metastasis in a patient with mucoepidermoid carcinoma of the pancreas. Case presentation A 50-year old white male with a metastatic invasive poorly differentiated mucoepidermoid carcinoma of the pancreas was found to have a slow growing lesion in the skin over his left upper quadrant while undergoing active therapy. The lesion was biopsied and the pathology was consistent with pancreatic origin sharing similar morphologic features when compared with the primary pancreactectomy specimen. Conclusions Mucoepidermoid pancreatic cancer is an exceedingly rare subtype of pancreatic cancer, with very little information regarding its diagnosis, treatment, and patterns of metastases. Here, the authors present the first reported case of cutaneous metastases of mucoepidermoid pancreatic cancer.

There is a broad range of possible diagnoses for an elevated beta human chorionic gonadotropin (β-hCG) in the absence of intrauterine or ectopic pregnancy. When women of child bearing potential undergo evaluation for clinical trial, it is often unclear what course of evaluation to take when a pregnancy test is positive. We describe the clinical course of a patient with widely metastatic mucinous ovarian carcinoma with metastasis to the peritoneum, lymph nodes and liver. The patient was found to have a mildly elevated β-hCG during initial evaluation for clinical trial. Extensive work up for ectopic pregnancy, trophoblastic disease, and phantom β-hCG were negative. The patient's β-hCG levels continued to rise until initiation of therapy. She was treated on a phase I protocol with restaging scans revealing a partial response. The β-hCG was retested and declined in conjunction with her response, consistent with paraneoplastic β-hCG. Here, we propose a decision making algorithm to evaluate a patient with an elevated β-hCG undergoing assessment for clinical trial., Highlights • Evaluation of positive pregnancy test during clinical trial accrual is difficult. • We describe a case of a woman with metastatic ovarian cancer. • The patient was found to have an elevated β-hCG during clinical trial evaluation. • We propose a decision making algorithm to evaluate these patients.

Purpose: Family history of BRCA-related tumors may correlate with response to chemotherapy and overall survival (OS) in pancreatic cancer. The frequency of germline mutations has been reported in patients predominantly under the age of 60 or with strong family history. We examine the incidence of deleterious germline mutations and compare the chemotherapy responses and OS in an unselected group of patients with metastatic pancreatic cancer. Experimental Design: Patients with metastatic pancreatic cancer, who were seen at a single cancer center between 2010 and 2016, were included. Germline DNA was sequenced using a 263-gene panel to identify novel mutations (N = 133 MD Anderson cohort, N = 127 TCGA cohort). Chemotherapy response and OS were determined by review of medical records. Results: Deleterious germline mutations were identified in 26 of 133 patients (19.5%). Patients with DNA damage repair (DDR) gene mutations (ATM, BRCA1/2, CDKN2A, CHEK2, ERCC4, PALB2, n = 15) had an improved OS as compared with patients without (16.8 vs. 9.1 months, P = 0.03). Conversely, patients with other deleterious mutations had a trend toward worse OS. However, survival in the latter group was longer (P = NS) in those mutants initially treated with gemcitabine/nab-paclitaxel. A family history of multiple breast, ovarian, and pancreatic cancers was associated with DDR gene mutations and better survival. Conclusions: We have identified novel germline mutations that are prognostic for survival in patients with pancreatic cancer. We observe improved survival in patients with DDR gene mutations and worsened survival in patients with deleterious mutations in non-DDR genes.

The INCOMPASS field campaign combines airborne and ground measurements of the 2016 Indian monsoon, towards the ultimate goal of better predicting monsoon rainfall. The monsoon supplies the majority of water in South Asia, but forecasting from days to the season ahead is limited by large, rapidly developing errors in model parametrizations. The lack of detailed observations prevents thorough understanding of the monsoon circulation and its interaction with the land surface: a process governed by boundary- layer and convective-cloud dynamics. INCOMPASS used the UK Facility for Airborne Atmospheric Measurements (FAAM) BAe-146 aircraft for the first project of this scale in India, to accrue almost 100 h of observations in June and July 2016. Flights from Lucknow in the northern plains sampled the dramatic contrast in surface and boundary-layer structures between dry desert air in the west and the humid environment over the northern Bay of Bengal. These flights were repeated in pre-monsoon and monsoon conditions. Flights from a second base at Bengaluru in southern India measured atmospheric contrasts from the Arabian Sea, over the Western Ghats mountains, to the rain shadow of southeast India and the south Bay of Bengal. Flight planning was aided by forecasts from bespoke 4 km convection-permitting limited-area models at the Met Office and India's NCMRWF. On the ground, INCOMPASS installed eddy- covariance flux towers on a range of surface types, to provide detailed measurements of surface fluxes and their modulation by diurnal and seasonal cycles. These data will be used to better quantify the impacts of the atmosphere on the land surface, and vice versa. INCOMPASS also installed ground instrumentation supersites at Kanpur and Bhubaneswar. Here we motivate and describe the INCOMPASS field campaign. We use examples from two flights to illustrate contrasts in atmospheric structure, in particular the retreating mid-level dry intrusion during the monsoon onset.

A limitation of the Met Office operational data assimilation scheme is that surface-sensitive infrared satellite sounding channels cannot be used during daytime periods where Numerical Weather Prediction (NWP) model background land surface temperature (LST) biases are greater than 2 K. The Met Office Unified Model (UM) has a significant cold LST bias in semi-arid regions when compared with satellite observations. UM LST biases were evaluated at global resolution and in a Limited Area Models (LAM) at 2.2 km resolution over the SALSTICE (Semi-Arid Land Surface Temperature and IASI Calibration Experiment) experimental domain in southeastern Arizona. This validation is in conjunction with eddy-covariance flux tower measurements. LST biases in the Global Atmosphere/Land 3.1 (GA/L3.1) configuration were largest in the mid-morning with respect to Terra (−13.6 ± 2.8 K at the Kendall Grassland site). The diurnal cycle of LST in Global Atmosphere/Land 6.1 (GA/L6.1) showed a significant improvement relative to GA/L3.1. The higher resolution LAM showed added value over the global configurations. The spatial distribution of the LST biases relative to Moderate Resolution Imaging Spectroradiometer (MODIS) and the modelled bare soil cover fraction were found to be moderately correlated (0.61 ± 0.08) during the daytime, which suggests that regions of cold LST bias are associated with low bare soil cover fraction. Coefficients of correlation with the shrub surface fractions followed the same trend as the bare soil cover fraction although with a less significant correlation (0.36 ± 0.09), and indicate that the sparse vegetation canopies in southeastern Arizona are not well represented in UM ancillary datasets. The x-component of the orographic slope was positively correlated with the LST bias (0.35 ± 0.06) and identified that regions of cold model LST bias are found on easterly slopes and regions of warm model LST bias are found on westerly slopes. An overestimate in the modelled turbulent heat and moisture fluxes at the eddy-covariance flux sites was found to be coincident with an underestimate in the ground heat flux.

The Saharan Air Layer (SAL) in the summertime Eastern Atlantic is typically well-mixed and 3–4 km deep, overlying the marine boundary layer (MBL). In this paper, we show experimental evidence that at times a very different structure can be observed. During the AER-D airborne campaign in August 2015, the typical structure described above was observed most of the times, and was associated with a moderate dust content yielding an Aerosol Optical Depth (AOD) of 0.3–0.4 at 355 nm. In an intense event, however, an unprecedented vertical structure was observed close to the Eastern boundary of the basin, displaying an uneven vertical distribution and a very large AOD (1.5–2), with most of the dust in a much lower level than usual (0.3–2 km). Estimated dust concentrations and column loadings spanned 300–5500 μg m−3 and 0.8–7.5 g m−2, respectively. The shortwave direct radiative impact of the intense dust event has been evaluated to be as large as −260 ± 30 and −120 ± 15 W m−2 at the surface and top of atmosphere, respectively. This event was also correlated with anomalous lightning activity in the Canary Islands. In all cases, our measurements detected a broad distribution of aerosol sizes, ranging from ~ 0.1 to ~ 80 μm (diameter), thus highlighting the presence of giant particles. Giant dust particles were also found in the MBL. We note that most aerosol models may miss the giant particles due to the fact that they use size bins up to 10–25 μm. The unusual vertical structure and the giant particles may have implications for dust transport over the Atlantic during intense events, and may affect the estimate of dust deposited to the Ocean. We believe that future campaigns should focus more on events with high aerosol load, and that instrumentation capable of detecting giant particles will be key to dust observations in this part of the world.

Introduction: We aimed to determine the prevalence and landscape of germline mutations among patients with young-onset pancreatic ductal adenocarcinoma (PDAC) as well as their influence in prognosis. Methods: Patients from two cohorts were studied, the high-risk cohort (HRC), which included 584 PDAC patients who received genetic counseling at The University of Texas MD Anderson Cancer Center, and a general cohort (GC) with 233 metastatic PDAC patients. We defined germline DNA sequencing on 13 known pancreatic cancer susceptibility genes. The prevalence and landscape of mutations were determined, and clinical characteristics including survival were analyzed. Results: A total of 409 patients underwent genetic testing (277 from HRC and 132 from GC). As expected, the HRC had higher prevalence of germline mutations compared with the GC: 17.3% versus 6.81%. The most common mutations in both cohorts were in BRCA1/2 and mismatch-repair (MMR) genes. Patients younger than 60 years old had significantly higher prevalence of germline mutations in both the HRC [odds ratios (OR), 1.93 ± 1.03–3.70, P = 0.039] and GC (4.78 ± 1.10–32.95, P = 0.036). Furthermore, PDAC patients with germline mutations in the GC had better overall survival than patients without mutations (HR, 0.44; 95% CI of HR, 0.25–0.76, P = 0.030). Discussion: Germline mutations are highly prevalent in patients with PDAC of early onset and can be predictive of better outcomes. Considering emerging screening strategies for relatives carrying susceptibility genes as well as impact on therapy choices, genetic counseling and testing should be encouraged in PDAC patients, particularly those of young onset. Cancer Prev Res; 11(11); 679–86. ©2018 AACR.

In August 2015, the AER-D campaign made use of the FAAM research aircraft based in Cape Verde, and targeted mineral dust. First results will be shown here. The campaign had multiple objectives: (1) lidar dust mapping for the validation of satellite and model products; (2) validation of sunphotometer remote sensing with airborne measurements; (3) coordinated measurements with the CATS lidar on the ISS; (4) radiative closure studies; and (5) the validation of a new model of dustsonde.

After identifying a pattern of creating product-driven work and feeling deeply dissatisfied and limited as a result, dance artist Jen Graham committed herself to releasing habit, following her instincts, and trusting the process of unfolding to find a new creative process and create her Master’s thesis work, ambiguous gaps. Launching an investigation into the physical relationships between people through an exploration of the intersections of dance improvisation, jazz dance values, and the Laban/Bartenieff Movement System, Graham endeavored to illuminate the physical and metaphoric gaps which must be navigated to create, shift, and maintain connection. This text details her journey through inspiration, research, creation, performance, and reflection.

OBJECTIVES The aim of this study was to examine tumor-infiltrating lymphocytes (TILs) and their prognostic value in patients with pancreatic ductal adenocarcinoma (PDAC) after neoadjuvant therapy. METHODS Intratumoral CD4, CD8, and FOXP3 lymphocytes were examined by immunohistochemistry using a computer-assisted quantitative analysis in 136 PDAC patients who received neoadjuvant therapy and pancreaticoduodenectomy. The results were correlated with clinicopathological parameters and survival. RESULTS High CD4 TILs in treated PDAC were associated with high CD8 TILs (P = 0.003), differentiation (P = 0.04), and a lower frequency of recurrence (P = 0.02). Patients with high CD4 TILs had longer disease-free survival and overall survival (OS) than did patients with low CD4 TILs (P < 0.01). The median OS of patients with a high CD8/FOXP3 lymphocyte ratio (39.5 [standard deviation, 6.1] months) was longer than that of patients with a low CD8/FOXP3 lymphocyte ratio (28.3 [standard deviation, 2.3] months; P = 0.01). In multivariate analysis, high CD4 TILs were an independent prognostic factor for disease-free survival (hazard ratio, 0.49; 95% confidence interval, 0.30-0.81; P = 0.005) and OS (hazard ratio, 0.54; 95% confidence interval, 0.33-0.89; P = 0.02). CONCLUSIONS High level of CD4 lymphocytes is associated with tumor differentiation and lower recurrence and is an independent prognostic factor for survival in PDAC patients treated with neoadjuvant therapy.

The microsatellite instability-high (MSI-H) phenotype, present in 15% of early colorectal cancer (CRC), confers good prognosis. MSI-H metastatic CRC is rare and its impact on outcomes is unknown. We describe survival outcomes and the impact of chemotherapy, metastatectomy, and BRAF V600E mutation status in the largest reported cohort of MSI-H metastatic colorectal cancer (CRC).A retrospective review of 55 MSI-H metastatic CRC patients from two institutions, Royal Melbourne Hospital (Australia) and The University of Texas MD Anderson Cancer Center (United States), was conducted. Statistical analyses utilized Kaplan-Meier method, Log-rank test, and Cox proportional hazards models.Median age was 67 years (20-90), 58% had poor differentiation, and 45% had stage IV disease at presentation. Median overall survival (OS) from metastatic disease was 15.4 months. Thirteen patients underwent R0/R1 metastatectomies, with median OS from metastatectomy 33.8 months. Thirty-one patients received first-line systemic chemotherapy for metastatic disease with median OS from the start of chemotherapy 11.5 months. No statistically significant difference in progression-free survival or OS was seen between fluoropyrimidine, oxaliplatin, or irinotecan based chemotherapy. BRAF V600E mutation was present in 14 of 47 patients (30%). BRAF V600E patients demonstrated significantly worse median OS; 10.1 versus 17.3 months, P = 0.03. In multivariate analyses, BRAF V600E mutants had worse OS (HR 4.04; P = 0.005), while patients undergoing metastatectomy (HR 0.11; P =0.001) and patients who initially presented as stage IV disease had improved OS (HR 0.27; P = 0.003).Patients with MSI-H metastatic CRC do not appear to have improved outcomes. BRAF V600E mutation is a poor prognostic factor in MSI-H metastatic CRC.

Aurora kinases play important roles in cell division and are frequently overexpressed in human cancer. AMG 900 is a novel pan-Aurora kinase inhibitor currently being tested in Phase I clinical trials. We aimed to evaluate the in vitro activity of AMG 900 in a panel of 44 human breast cancer and immortalized cell lines and identify predictors of response. AMG 900 inhibited proliferation at low nanomolar concentrations in all cell lines tested. Response was further classified based on the induction of lethality. 25 cell lines were classified as highly sensitive (lethality at 10 nM of AMG 900 10 %), 19 cell lines as less sensitive to AMG 900 (lethality at 10 nM of AMG 900 10 %). Traditional molecular subtypes of breast cancer did not predict for this differential response. There was a weak association between AURKA amplification and response to AMG 900 (response ratio = 2.53, p = 0.09). mRNA expression levels of AURKA, AURKB, and AURKC and baseline protein levels of Aurora kinases A and B did not significantly associate with response. Cell lines with TP53 loss of function mutations (RR = 1.86, p = 0.004) and low baseline p21 protein levels (RR = 2.28, p = 0.0004) were far more likely to be classified as highly sensitive to AMG 900. AMG 900 induced p53 and p21 protein expression in cell lines with wt TP53. AMG 900 caused the accumulation of cells with4 N DNA content in a majority of cell lines independently of sensitivity and p53 status. AMG 900 induced more pronounced apoptosis in highly sensitive p53-dysfunctional cell lines. We have found that AMG 900 is highly active in breast cancer cell lines and that TP53 loss of function mutations as well as low baseline expression of p21 protein predict strongly for increased sensitivity to this compound in vitro.

A cirrus study has been undertaken during the second Cirrus Cloud-Radiation Experiment field campaign based in Prestwick, Scotland. We report on a case study describing the radiation and microphysics measurements and cloud modelling work.

The Fennec climate programme aims to improve understanding of the Saharan climate system through a synergy of observations and modelling. We present a description of the Fennec airborne observations during 2011 and 2012 over the remote Sahara (Mauritania and Mali) and the advances in the understanding of mineral dust and boundary layer processes they have provided. Aircraft instrumentation aboard the UK FAAM BAe146 and French SAFIRE (Service des Avions Français Instrumentés pour la Recherche en Environnement) Falcon 20 is described, with specific focus on instrumentation specially developed for and relevant to Saharan meteorology and dust. Flight locations, aims and associated meteorology are described. Examples and applications of aircraft measurements from the Fennec flights are presented, highlighting new scientific results delivered using a synergy of different instruments and aircraft. These include (1) the first airborne measurement of dust particles sizes of up to 300 microns and associated dust fluxes in the Saharan atmospheric boundary layer (SABL), (2) dust uplift from the breakdown of the nocturnal low-level jet before becoming visible in SEVIRI (Spinning Enhanced Visible Infra-Red Imager) satellite imagery, (3) vertical profiles of the unique vertical structure of turbulent fluxes in the SABL, (4) in situ observations of processes in SABL clouds showing dust acting as cloud condensation nuclei (CCN) and ice nuclei (IN) at −15 °C, (5) dual-aircraft observations of the SABL dynamics, thermodynamics and composition in the Saharan heat low region (SHL), (6) airborne observations of a dust storm associated with a cold pool (haboob) issued from deep convection over the Atlas Mountains, (7) the first airborne chemical composition measurements of dust in the SHL region with differing composition, sources (determined using Lagrangian backward trajectory calculations) and absorption properties between 2011 and 2012, (8) coincident ozone and dust surface area measurements suggest coarser particles provide a route for ozone depletion, (9) discrepancies between airborne coarse-mode size distributions and AERONET (AERosol Robotic NETwork) sunphotometer retrievals under light dust loadings. These results provide insights into boundary layer and dust processes in the SHL region – a region of substantial global climatic importance.

In this dissertation we present several methods for fitting control theoretic splines to large data sets. In addition, we also present a method for fitting control theoretic splines to data sets containing position and derivative data. Applying control theoretic splines to a data set requires the inversion of matrices whose dimensions are the same as the number of data points in the data set. Methods for reducing the dimensions of the matrices are necessary if one wishes to fit a control theoretic spline to a large data set. Partitioning a data set or randomly selecting a small number of data points from the original set allow for the necessary reduction. Once the reduction is made there are several options for finding the optimal control function and optimal smoothed data needed to calculate the control theoretic spline.

Background: Glioblastoma (GBM) is an aggressive cancer that often recurs despite multimodal therapy. Median survival is 12-15 months. Genomic profiling studies have shown marked tumor heterogeneity with distinct mutations among treated and untreated samples. The Cancer Genome Atlas (TCGA), revealed that mutations in TP53, CDKN2A, PTEN, EGFR and NF1 are predominant in untreated tumors. Of 19 patients who progressed on therapy, seven samples were hypermutated with mutations in mismatch repair proteins, mainly MSH6. We proposed to use the Cellecta Lentiviral-based tagging library, a novel model system to assess the role of intratumor heterogeneity (ITH) in the presumptive tumor-initiating fraction of primary GBM and in the development of resistance to temozolomide (TMZ). From a pool of 30,000,000 barcodes, the system enables the genetic integration of a unique barcode sequence into each cell. Each barcode can be quantitatively tracked via next-generation sequencing, allowing for dynamic monitoring of the subclonal architecture. Methods: GSC 272 and 627 (sensitive and resistant to TMZ) were derived from core biopsies of GBM patients. Cells were transduced with a lentiviral vector containing luciferase. Cells were expanded and infected with the Cellecta Lentiviral library. Multiplicity of infection was determined. Transduced cells were injected into B6.Cg-Foxn1nu/J mice brains using a guide screw system. Half of the mice were treated with TMZ via gavage at two weeks. Brain tumors were removed and total DNA was extracted. Barcode inserts were amplified and the Illumina Sequencing platform was used for barcode quantification. Additionally, whole exome sequencing was performed to assess mutation status. Results: Confirmation of luciferase signal has been performed using a Luciferase Reporter Assay. Multiplicity of infection was found to be 0.15 and 1 for GSC 6-27 and 272 respectively. Initial methylation studies showed GSC 272 to have methylation of MGMT while GSC 627 did not. There was no difference in OS in the TMZ Resistant (GSC 627) untreated vs. treated cohort (with a median OS of 55 days in both groups (N= 23 vs 25 respectively, P= 0.563). TMZ Sensitive (GSC 272) untreated mice did not survive as long as the treated cohort (N= 24 vs. 25, Median OS 43 vs. 206 days, P= 4.61e-09). Barcode and whole exome sequencing results is currently being analyzed. Conclusions: The Cellecta lentiviral tagging system is an innovative way to track ITH and clonal evolution in glioblastoma orthotopic models. We hope to discover novel insights into TMZ treatment response and resistance. Citation Format: Jennifer Brooke Goldstein, Ravesanker Ezhilarasan, Mona Jaffari, Alessandro Carugo, Giulio Draetta, Roeland Verhaak, Sahil Seth, Erik Sulman, Phillip Andrew Futreal. The clonal evolution of glioblastoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2916. doi:10.1158/1538-7445.AM2017-2916