Neutrophils form sticky web-like structures known as neutrophil extracellular traps (NETs) as part of innate immune response. NETs are decondensed extracellular chromatin filaments comprising nuclear and cytoplasmic proteins. NETs have been implicated in many gastrointestinal diseases including colorectal cancer (CRC). However, the regulatory mechanisms of NET formation and potential pharmacological inhibitors in the context of CRC have not been thoroughly discussed. In this review, we intend to highlight roles of NETs in CRC progression and metastasis as well as the potential of targeting NETs during colon cancer therapy.

Introduction: Kawasaki Disease (KD) leads as a cause of acquired cardiovascular disease among children in developed countries. Around~20% of patients are refractory to high-dose intravenous immunoglobulin (IVIG), the standard treatment, and are at high risk of developing coronary artery aneurysms. Hypothesis: Whole genome sequencing (WGS) will identify specific predictors of non-response and inform the mechanism of IVIG action. Methods: KD patients were diagnosed by the American Heart Association and the American Academy of Pediatrics (AHA/AAP) criteria and treated by AHA guidelines. IVIG refractoriness was defined by persistent or recurrent fever (>38C)>36 hours after completing infusion. We performed a case-control study with WGS on DNA from saliva or blood from 107 responders versus 103 non-responders. After processing informatics using the pipeline of Genome Analysis Toolkit (GATK), additive genetic models were assessed for all common variants using logistic regression. We adjusted for age, gender, and race based on principal components. We also conducted SNP-set (Sequence) Kernel Association Test (SKAT) with common and rare variants in the gene regions with the most statistically significant SNP results. Results: Average sequencing depth was 30x and with a total of 34,548,910 variants. While SNPs in genes previously indicated in the IVIG pathway were confirmed, multiple novel SNPs in various gene regions were also statistically significant (often p< 10-6; Figure-Manhattan plot). SKAT analysis suggested joint effects of multiple SNPs in individual gene regions. Conclusions: We confirmed SNPs in genes from previous reports and identified multiple novel ones, indicating plausible previous unsuspected IVIG mechanisms pathways. Potentially, functional disruption of these genes could lead to non-response. Further, a panel of these SNPs can be a prognostic tool for identifying at-risk KD patients that require therapy intensification.