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- Devarajan, R., et al.
(författare)
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Targeting collagen XVIII improves the efficiency of ErbB inhibitors in breast cancer models
- 2023
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Ingår i: Journal of Clinical Investigation. - 0021-9738. ; 133:18
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Tidskriftsartikel (refereegranskat)abstract
- The tumor extracellular matrix (ECM) critically regulates cancer progression and treatment response. Expression of the basement membrane component collagen XVIII (ColXVIII) is induced in solid tumors, but its involvement in tumorigenesis has remained elusive. We show here that ColXVIII was markedly upregulated in human breast cancer (BC) and was closely associated with a poor prognosis in high-grade BCs. We discovered a role for ColXVIII as a modulator of epidermal growth factor receptor tyrosine kinase (ErbB) signaling and show that it forms a complex with ErbB1 and-2 (also known as EGFR and human epidermal growth factor receptor 2 [HER2]) and alpha 6-integrin to promote cancer cell proliferation in a pathway involving its N-terminal portion and the MAPK/ERK1/2 and PI3K/AKT cascades. Studies using Col18a1 mouse models crossed with the mouse mammary tumor virus-polyoma virus middle T antigen (MMTV-PyMT) mammary carcinogenesis model showed that ColXVIII promoted BC growth and metastasis in a tumor cell-autonomous manner. Moreover, the number of mammary cancer stem cells was significantly reduced in the MMTV-PyMT and human cell models upon ColXVIII inhibition. Finally, ablation of ColXVIII substantially improved the efficacy of ErbB-targeting therapies in both preclinical models. In summary, ColXVIII was found to sustain the stemness properties of BC cells and tumor progression and metastasis through ErbB signaling, suggesting that targeting ColXVIII in the tumor milieu may have important therapeutic potential.
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| 2. |
- Walther, G, et al.
(författare)
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Report on challenges for SCIs
- 2021
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- This report discusses the challenges posed by four types of threats – terrorist attacks, cyber-attacks, extreme weather and social unrest – on the following eight smart critical infrastructure systems:a.ALPHA - Finance (financial system): The analysis focuses on disturbed information flow and disabling/manipulating IT and communication systems, including attacks on the “physical layer” using the example of IEMI/HPEM threats, as well as the software layer.b. BRAVO - Energy supply (system): The analysis focuses on disruption of “smart” energy supply in a “smart city”, caused by natural hazards, in this case flooding, leading to cascading effects and severe consequences for other energy-depending SCIs.c. CHARLIE - Health care (system):Focus of the analysis is on all threats that might cause large increases in the numbers of injuries or sick patients within a densely populated area. This will include indirect impacts, e.g. large numbers of injuries caused by a disaster or terrorist attacks or disease epidemics, but also direct impacts, e.g. service disruptions in critical health infrastructures, such as hospitals, due to attacks or disasters hitting the infrastructure itself.d.DELTA - Transportation (system) – airports: According to the framework situation, threats on Smart Airports will be assessed under circumstances of (i) blocked traffic, (ii) passenger and airplane traffic exceeding capacity (iii) flood.e. ECHO - Industry (in zones in cities) "Industrial Production Plants":The analysis focuses mainly on technological accidents within the refinery complex, but also accidents caused by natural hazards affecting refinery property outside the main refinery complex, e.g. accident on jetty belonging to refinery on the river Danube during unloading/loading oil products from barge to a tank, damages by a gale or storm on process installations (pipes, hoses) resulting in river pollution. Both scenarios could lead to cascading effects for other SCIs in close vicinity.f. FOXTROT - Water supply (systems): The analysis focuses on three cases of local and regional drinking water supply chains, with different kinds of vulnerabilities in terms of climate threats, ICT challenges, security issues and human error.g.GOLF - Urban flood protection (systems): The analysis focuses in the disruption of water and transport caused through tidal and fluvial flooding events.h. HOTEL: City of Helsinki - Flooding underground coal storage. Resilience of the energy infrastructure (city environment).The way this analysis was conducted was by assessing these threats using a 5x5 framework matrix. The two axes of the matrix were phases (understand risks, anticipate/prepare, absorb/withstand, respond/recover, adapt/learn) and dimensions (system/physical, information/data, organizational/business, societal/political, cognitive/decision-making).Each individual matrix block was discussed by subject experts who identified specific challenges and implications for each matrix element and rated its relevance (high, medium, low).In terms of the results, the system/physical dimension received the highest number of important challenges.Overall, the most important singular element was to understand risks in the organizational/business dimension. The least importance was attributed to the adapt/learn phase.
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| 3. |
- Albert, Christian, et al.
(författare)
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Neutrophil Gelatinase-Associated Lipocalin Measured on Clinical Laboratory Platforms for the Prediction of Acute Kidney Injury and the Associated Need for Dialysis Therapy : A Systematic Review and Meta-analysis
- 2020
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Ingår i: American Journal of Kidney Diseases. - : Elsevier BV. - 0272-6386 .- 1523-6838. ; 76:6, s. 826-
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Forskningsöversikt (refereegranskat)abstract
- Rationale & Objective: The usefulness of measures of neutrophil gelatinase-associated lipocalin (NGAL) in urine or plasma obtained on clinical laboratory platforms for predicting acute kidney injury (AKI) and AKI requiring dialysis (AKI-D) has not been fully evaluated. We sought to quantitatively summarize published data to evaluate the value of urinary and plasma NGAL for kidney risk prediction.Study Design: Literature-based meta-analysis and individual-study-data meta-analysis of diagnostic studies following PRISMA-IPD guidelines.Setting & Study Populations: Studies of adults investigating AKI, severe AKI, and AKI-D in the setting of cardiac surgery, intensive care, or emergency department care using either urinary or plasma NGAL measured on clinical laboratory platforms.Selection Criteria for Studies: PubMed, Web of Science, Cochrane Library, Scopus, and congress abstracts ever published through February 2020 reporting diagnostic test studies of NGAL measured on clinical laboratory platforms to predict AKI.Data Extraction: Individual-study-data meta analysis was accomplished by giving authors data specifications tailored to their studies and requesting standardized patient-level data analysis.Analytical Approach: Individual-study-data meta analysis used a bivariate time-to-event model for interval-censored data from which discriminative ability (AUC) was characterized. NGAL cutoff concentrations at 95% sensitivity, 95% specificity, and optimal sensitivity and specificity were also estimated. Models incorporated as confounders the clinical setting and use versus nonuse of urine output as a criterion for AKI. A literature-based meta-analysis was also performed for all published studies including those for which the authors were unable to provide individual-study data analyses.Results: We included 52 observational studies involving 13,040 patients. We analyzed 30 data sets for the individual-study-data meta-analysis. For AKI, severe AKI, and AKI-D, numbers of events were 837, 304, and 103 for analyses of urinary NGAL, respectively; these values were 705, 271, and 178 for analyses of plasma NGAL. Discriminative performance was similar in both meta-analyses. Individual-study-data meta-analysis AUCs for urinary NGAL were 0.75 (95% CI, 0.73-0.76) and 0.80 (95% CI, 0.79-0.81) for severe AKI and AKI-D, respectively; for plasma NGAL, the corresponding AUCs were 0.80 (95% CI, 0.790.81) and 0.86 (95% CI, 0.84-0.8 6). Cutoff concentrations at 95% specificity for urinary NGAL were >580 ng/mL with 27% sensitivity for severe AKI and >589 ng/mL with 24% sensitivity for AKI-D. Corresponding cutoffs for plasma NGAL were >364 ng/mL with 44% sensitivity and >546 ng/mL with 26% sensitivity, respectively.Limitations: Practice variability in initiation of dialysis. Imperfect harmonization of data across studies. Conclusions: Urinary and plasma NGAL concentrations may identify patients at high risk for AKI in clinical research and practice. The cutoff concentrations reported in this study require prospective evaluation.
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| 6. |
- Haase, Michael, et al.
(författare)
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The Outcome of Neutrophil Gelatinase-Associated Lipocalin-Positive Subclinical Acute Kidney Injury A Multicenter Pooled Analysis of Prospective Studies
- 2011
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Ingår i: Journal of the American College of Cardiology. - : Elsevier BV. - 0735-1097 .- 1558-3597. ; 57:17, s. 1752-1761
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Tidskriftsartikel (refereegranskat)abstract
- Objectives The aim of this study was to test the hypothesis that, without diagnostic changes in serum creatinine, increased neutrophil gelatinase-associated lipocalin (NGAL) levels identify patients with subclinical acute kidney injury (AKI) and therefore worse prognosis. Background Neutrophil gelatinase-associated lipocalin detects subclinical AKI hours to days before increases in serum creatinine indicate manifest loss of renal function. Methods We analyzed pooled data from 2,322 critically ill patients with predominantly cardiorenal syndrome from 10 prospective observational studies of NGAL. We used the terms NGAL(-) or NGAL(+) according to study-specific NGAL cutoff for optimal AKI prediction and the terms sCREA(-) or sCREA(+) according to consensus diagnostic increases in serum creatinine defining AKI. A priori-defined outcomes included need for renal replacement therapy (primary endpoint), hospital mortality, their combination, and duration of stay in intensive care and in-hospital. Results Of study patients, 1,296 (55.8%) were NGAL(-)/sCREA(-), 445 (19.2%) were NGAL(+)/sCREA(-), 107 (4.6%) were NGAL(-)/sCREA(+), and 474 (20.4%) were NGAL(+)/sCREA(+). According to the 4 study groups, there was a stepwise increase in subsequent renal replacement therapy initiation-NGAL(-)/sCREA(-): 0.0015% versus NGAL(+)/sCREA(-): 2.5% (odds ratio: 16.4, 95% confidence interval: 3.6 to 76.9, p < 0.001), NGAL(-)/sCREA(+): 7.5%, and NGAL(+)/sCREA(+): 8.0%, respectively, hospital mortality (4.8%, 12.4%, 8.4%, 14.7%, respectively) and their combination (4-group comparisons: all p < 0.001). There was a similar and consistent progressive increase in median number of intensive care and in-hospital days with increasing biomarker positivity: NGAL(-)/sCREA(-): 4.2 and 8.8 days; NGAL(+)/sCREA(-): 7.1 and 17.0 days; NGAL(-)/sCREA(+): 6.5 and 17.8 days; NGAL(+)/sCREA(+): 9.0 and 21.9 days; 4-group comparisons: p = 0.003 and p = 0.040, respectively. Urine and plasma NGAL indicated a similar outcome pattern. Conclusions In the absence of diagnostic increases in serum creatinine, NGAL detects patients with likely subclinical AKI who have an increased risk of adverse outcomes. The concept and definition of AKI might need re-assessment.
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