Identifying the host genetic factors underlying severe COVID-19 is an emerging challenge1–5. Here we conducted a genome-wide association study (GWAS) involving 2,393 cases of COVID-19 in a cohort of Japanese individuals collected during the initial waves of the pandemic, with 3,289 unaffected controls. We identified a variant on chromosome 5 at 5q35 (rs60200309-A), close to the dedicator of cytokinesis 2 gene (DOCK2), which was associated with severe COVID-19 in patients less than 65 years of age. This risk allele was prevalent in East Asian individuals but rare in Europeans, highlighting the value of genome-wide association studies in non-European populations. RNA-sequencing analysis of 473 bulk peripheral blood samples identified decreased expression of DOCK2 associated with the risk allele in these younger patients. DOCK2 expression was suppressed in patients with severe cases of COVID-19. Single-cell RNA-sequencing analysis (n = 61 individuals) identified cell-type-specific downregulation of DOCK2 and a COVID-19-specific decreasing effect of the risk allele on DOCK2 expression in non-classical monocytes. Immunohistochemistry of lung specimens from patients with severe COVID-19 pneumonia showed suppressed DOCK2 expression. Moreover, inhibition of DOCK2 function with CPYPP increased the severity of pneumonia in a Syrian hamster model of SARS-CoV-2 infection, characterized by weight loss, lung oedema, enhanced viral loads, impaired macrophage recruitment and dysregulated type I interferon responses. We conclude that DOCK2 has an important role in the host immune response to SARS-CoV-2 infection and the development of severe COVID-19, and could be further explored as a potential biomarker and/or therapeutic target.

The impact of BMI is determined by the types of cancer treatment. Pretreatment BMI should be considered while deciding treatment.

Positron emission tomography and computed tomography (PET-CT) is widely used to assess the response to radiotherapy. However, the ability of PET-CT to predict treatment failure in human papillomavirus (HPV)-related squamous cell carcinoma of the head and neck (HNSCC) is unsatisfactory. We quantified circulating tumor HPV type16 DNA (ctHPV16DNA) using optimized droplet digital PCR in 35 patients with HPV16-related HNSCC, who received radiotherapy with or without chemotherapy, and prospectively correlated ctHPV16DNA and metabolic response with treatment failure. After a median follow-up of 21 months, ctHPV16DNA and PET-CT had similar negative predictive values (89.7% vs 84.0%), whereas the positive predictive value was much higher in ctHPV16DNA than in PET-CT (100% vs 50.0%). Notably, six patients who had detectable posttreatment ctHPV16DNA all had treatment failure irrespective of metabolic response, whereas none of five patients who had partial metabolic response without detectable posttreatment ctHPV16DNA had treatment failure. The risk of treatment failure was high in patients who had incomplete metabolic response with detectable posttreatment ctHPV16DNA (hazard ratio [HR], 138.8; 95% confidence interval [CI], 15.5-3366.4; P < .0001) and intermediate in patients who had discordant results between metabolic response and posttreatment ctHPV16DNA (HR, 4.7; 95% CI, 0.8-36.2, P = .09) as compared with patients who had complete metabolic response without detectable posttreatment ctHPV16DNA. One-year event-free survival rates of each risk group were 0%, 88% (95% CI, 46-98) Abbreviations: CMR, complete metabolic response; ctDNA, circulating tumor DNA; ctHPV16DNA, circulating tumor human papillomavirus type16 DNA; ddPCR, droplet digital PCR; FDG, 18Ffluorodeoxyglucose; HNSCC, squamous cell carcinoma of the head and neck; HPV, human papillomavirus; HPV16, human papillomavirus type16; HR, hazard ratio; NPV, negative predictive value; OPSCC, squamous cell carcinoma of the oropharynx; PET-CT, positron emission tomography and computed tomography; PMD, progressive metabolic disease; PMR, partial metabolic response; PPV, positive predictive value; SUV, standardized uptake value.

Background We aimed to elucidate differences in the characteristics of patients with coronavirus disease 2019 (COVID-19) requiring hospitalization in Japan, by COVID-19 waves, from conventional strains to the Delta variant. Methods We used secondary data from a database and performed a retrospective cohort study that included 3261 patients aged ≥ 18 years enrolled from 78 hospitals that participated in the Japan COVID-19 Task Force between February 2020 and September 2021. Results Patients hospitalized during the second (mean age, 53.2 years [standard deviation {SD}, ± 18.9]) and fifth (mean age, 50.7 years [SD ± 13.9]) COVID-19 waves had a lower mean age than those hospitalized during the other COVID-19 waves. Patients hospitalized during the first COVID-19 wave had a longer hospital stay (mean, 30.3 days [SD ± 21.5], p < 0.0001), and post-hospitalization complications, such as bacterial infections (21.3%, p < 0.0001), were also noticeable. In addition, there was an increase in the use of drugs such as remdesivir/baricitinib/tocilizumab/steroids during the latter COVID-19 waves. In the fifth COVID-19 wave, patients exhibited a greater number of presenting symptoms, and a higher percentage of patients required oxygen therapy at the time of admission. However, the percentage of patients requiring invasive mechanical ventilation was the highest in the first COVID-19 wave and the mortality rate was the highest in the third COVID-19 wave. Conclusions We identified differences in clinical characteristics of hospitalized patients with COVID-19 in each COVID-19 wave up to the fifth COVID-19 wave in Japan. The fifth COVID-19 wave was associated with greater disease severity on admission, the third COVID-19 wave had the highest mortality rate, and the first COVID-19 wave had the highest percentage of patients requiring mechanical ventilation.

We investigated the prognostic impact of the neutrophil‐to‐lymphocyte ratio (NLR) in patients with head and neck squamous cell carcinoma (HNSCC) treated with immune checkpoint inhibitors (ICIs). We systematically searched electronic databases and identified articles reporting an association between NLR and treatment results in patients with HNSCC treated with ICIs. Hazard ratios (HRs) for overall survival (OS) and progression‐free survival (PFS) and odds ratios (ORs) for response and disease control were extracted. Pooled HRs and ORs were estimated using random‐effects models. Fourteen studies involving 929 patients were included. A higher NLR was associated with poor OS (HR 2.03, 95% confidence interval [CI] 1.50–2.74), PFS (HR 2.15, 95% CI 1.44–3.21), response (OR 0.49, 95% CI 0.26–0.93), and disease control (OR 0.30, 95% CI 0.12–0.74). The NLR predicts treatment results with ICIs in patients with HNSCC.