Critical illness in COVID-19 is an extreme and clinically homogeneous disease phenotype that we have previously shown1 to be highly efficient for discovery of genetic associations2. Despite the advanced stage of illness at presentation, we have shown that host genetics in patients who are critically ill with COVID-19 can identify immunomodulatory therapies with strong beneficial effects in this group3. Here we analyse 24,202 cases of COVID-19 with critical illness comprising a combination of microarray genotype and whole-genome sequencing data from cases of critical illness in the international GenOMICC (11,440 cases) study, combined with other studies recruiting hospitalized patients with a strong focus on severe and critical disease: ISARIC4C (676 cases) and the SCOURGE consortium (5,934 cases). To put these results in the context of existing work, we conduct a meta-analysis of the new GenOMICC genome-wide association study (GWAS) results with previously published data. We find 49 genome-wide significant associations, of which 16 have not been reported previously. To investigate the therapeutic implications of these findings, we infer the structural consequences of protein-coding variants, and combine our GWAS results with gene expression data using a monocyte transcriptome-wide association study (TWAS) model, as well as gene and protein expression using Mendelian randomization. We identify potentially druggable targets in multiple systems, including inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

Several classification systems have been described for stratifying patients with gastric carcinoma (GC). However, their prognostic value is low, and there is an urgent need for identification of molecular markers and development of new classifications. Retrospective study of 206 cases of GC diagnosed and surgically resected in our hospital between 2000 and 2017. Clinicopathological features of all cases were assessed and tissue microarrays were constructed for immunohistochemical (IHC) study. Patients were stratified based on IHC results. Mean patient age was 71 years and most patients were male (54.6%). Most tumors were located in the gastric antrum and body, and they were mostly fungoid or ulcerative lesions. GC were mainly intestinal-type tumors and 60.3% were diagnosed at pT3. 56.2% of patients showed recurrences and 29.4% died due to GC. According to our IHC classification, 23.5% of tumors showed microsatellite instability, 6% were E-cadherin negative, 53.5% were stable-p53 not overexpressed, and 17% were stable with p53 overexpression. IHC classification was significantly correlated with patient gender, gross morphology, Laurén classification, tumor necrosis, perineural infiltration, type of leading edge, and patient outcome. Multivariate analysis showed that IHC subtype was significantly and independently associated with overall survival, together with clinical symptoms, signet cell phenotype, tumor grade and vessel invasion. The application of IHC classifications based on molecular biomarkers in clinical practice can aid in the stratification of GC patients. More studies are needed to evaluate the reproducibility and clinical significance of these classifications.

H2O(2) may be an important selective modulator of intestinal ion and water secretion in certain pathologic conditions such as inflammation or ischemia-reperfusion by multiple mechanisms.

Background: Neuroendocrine carcinoma (NEC) is a rare and very aggressive tumor. It has been greatly understudied, and very little is known about optimal treatment strategy for patients with this disease. The purpose of this study was to evaluate in vivo whether anti-vascular endothelial growth factor (VEGF) drugs could be a therapeutic alternative for these tumors with a poor prognosis. Methods: We have developed 2 xenograft models using either human cell line derived from lung (H460) or from colon (COLO320) NEC to assess the effect of 2 antiangiogenic drugs, aflibercept and bevacizumab, on tumor growth and their pathological characteristics. Additionally, tumors were subjected to immunohistochemistry staining and proteins were measured with Western blot and ELISA. Results: Both aflibercept and bevacizumab showed significant antitumor activity (p < 0.001). In the H460 model, aflibercept resulted in 94% tumor growth inhibition (TGI) and bevacizumab treatment resulted in 72.2% TGI. Similarly, in the COLO320 model, aflibercept and bevacizumab resulted in 89.3 and 84% TGI, respectively. Moreover, antitumor activity occurs early after treatment initiation. Using Tumor Control Index score, which address the kinetics of tumor growth in a way comparable to the methods used in human clinical studies, we confirmed that both drugs inhibit significantly tumor growth. When tumor stabilization was evaluated, aflibercept shows higher ability to stabilize NEC tumors than bevacizumab. Conclusion: Results derived from this study strongly support anti-VEGF therapies, especially aflibercept, as a novel therapeutic option in NECs. Further studies are necessary, but our observations encourage the evaluation of antiangiogenics in clinical trials combined with standard chemotherapy.