Immunogenicity of two doses of inactive COVID-19 vaccine and third booster dose mRNA vaccine in patients with cancer receiving active systemic therapy.

We aimed to evaluate the seroconversion rates after two doses of inactive COVID-19 vaccine (CoronaVac) and the benefit of a third dose mRNA vaccine booster in patients with cancer receiving active treatment. Patients with solid tumors receiving active treatment (n = 101) and patients with no-cancer (n = 48) as the control group were included in the study. All the patients and controls had received two doses of CoronaVac and a third booster dose of the mRNA vaccine (Bnt162b2). Anti-SARS-CoV-2 Spike Receptor Binding Domain IgG antibody levels after the second and third dose were measured with quantitative ELISA. The median age of the patients was 66 (IQR 60-71). 79% of the patients were receiving chemotherapy, and 21% were receiving immunotherapy at the time of vaccination. Antibody levels measured after two doses of CoronaVac were significantly lower in patients with cancer than in the control group (median 0 µg/ml [IQR 0-1.17 µg/ml] vs median 0.91 µg/ml [IQR 0-2.24 µg/ml], respectively, P = .002). Seropositivity rates were 46.5% in patients with cancer and 72.9% in the control group (P = .002). Antibody measurement was performed in 26 patients after the third dose. Seroconversion rate increased from 46.5% to 88.5% (P < .001), and the antibody titers significantly increased with the third-dose booster (median 0 µg/ml [IQR 0-1.17 µg/ml] after two doses vs 12.6 µg/ml [IQR 1.8-69.1 µg/ml] after third booster dose, P < .001). Immunogenicity of CoronaVac is low in patients with cancer receiving active treatment, and administering a third dose of an mRNA vaccine is effective in terms of improving seroconversion rates.

Newly diagnosed cancer and the COVID-19 pandemic: tumour stage migration and higher early mortality.

BACKGROUND: We compared the new outpatient clinic referrals during the first 10 months of the COVID-19 pandemic with the year before. METHODS: We compared baseline characteristics of the 2208 new referrals in 2020 (n=922) and 2019 (n=1286) with Χ2 and Mann-Whitney U tests and calculated ORs with binary logistic regression. To evaluate the expected changes in the cancer survival secondary to stage migration, we used the 5-year survival data of Survival, Epidemiology and End Results (SEER) Program 2010-2016. RESULTS: The percentage of patients with inoperable or metastatic disease was significantly increased during the pandemic (49.8% vs 39%, OR: 1.553, 95% CI: 1.309 to 1.843, p<0.001). We observed a significant decrease in the percentage of patients diagnosed via the screening methods (18.8% vs 28.7%, OR: 1.698, 95% CI: 1.240 to 2.325, p=0.001). The 90-day mortality after the cancer diagnosis was significantly higher during the pandemic (10.5% vs 6.6%, OR: 1.661, 95% CI: 1.225 to 2.252, p=0.001). Due to the increased advanced-stage disease rate at first referral, significant decreases in 5-year survival rates were expected for breast cancer (-8.9%), colorectal cancer (-11.1%), cervix cancer (-10.3%) and melanoma (-7%). CONCLUSION: We think that collaborative efforts are paramount to prevent the pandemic of late cancer diagnoses and ensure patient safety during the pandemic.

Lesson learned from the pandemic: Isolation and hygiene measures for COVID-19 could reduce the nosocomial infection rates in oncology wards.

INTRODUCTION: It was previously demonstrated that seasonal influenza incidence was significantly decreased during the COVID-19 pandemic, possibly due to respiratory and hygiene precautions. From this point, we hypothesized that the COVID-19 precautions could lead to a decrease in nosocomial infection rates in oncology inpatient wards. METHODS: We evaluated the nosocomial infection rates in an inpatient palliative oncology ward in the first 3 months of the COVID-19 pandemic in our country and compared this rate with the same time frame of the previous year in our institution. RESULTS: The percentage of nosocomial infections complicating the hospitalization episodes were significantly reduced in the first 3 months of the pandemic compared to the previous year (43 vs. 55 nosocomial infection episodes; 18.6% vs. 32.2%, p = 0.002). The decrease in the nosocomial infections was consistent in the different types of infections, namely pneumonia (4.8% vs. 7.6%), urinary tract infection (5.2% vs. 7.6%), bacteremia (5.2% vs. 7%) and intraabdominal infections (2.6% vs. 3.5%). The median monthly disinfectant use was significantly increased to 98 liters (interquartile range: 82 - 114) in 2020 compared to 72 L (interquartile range: 36 - 72) in 2019 (p = 0.046). CONCLUSION: The continuation of the simple and feasible hygiene and distancing measures for healthcare workers and patient relatives and adaptations for earlier discharge could be beneficial for preventing nosocomial infections in oncology wards. These measures could be implemented routinely even after the COVID-19 pandemic for patient safety, especially in settings with higher nosocomial infection rates like inpatients palliative care units.

Clinical features and outcomes of COVID-19 in patients with solid tumors: Turkish National Registry Data.

We present demographic, clinical, laboratory characteristics and outcomes of the patients with solid malignancies and novel coronavirus disease (COVID-19) collected from the National COVID-19 Registry of Turkey. A total of 1523 patients with a current or past diagnosis of solid tumors and diagnosed with COVID-19 (confirmed with PCR) between 11 March and 20 May 2020 were included. The primary outcome was 30-day mortality. Median age was 61 (range: 18-94), and 752 (49%) were male. The most common types of cancers were breast (19.8%), prostate (10.9%) and colorectal cancer (10.8%). 65% of the patients had at least one comorbidity. At least one COVID-19-directed therapy was given in 73% of the patients.. Hospitalization rate of the patients was 56.6% and intensive care unit admission rate was 11.4%. Seventy-seven (5.1%) patients died within 30 days of diagnosis. The first multivariate model which included only the demographic and clinical characteristics showed older age, male gender and presence of diabetes and receipt of cytotoxic therapy to be associated with increased 30-day mortality, while breast and prostate cancer diagnoses were associated with lower 30-day mortality. In the second set, we further included laboratory parameters. The presence of leukocytosis (OR 6.7, 95% CI 3.3-13.7, P < .001), lymphocytopenia (OR 3,1, 95% CI 1,6-6,1, P = .001) and thrombocytopenia (OR 3,4 95% CI 1,5-8,1, P = .005) were found to be associated with increased 30-day mortality. Relatively lower mortality compared to Western countries and China mainly results from differences in baseline risk factors but may also implicate the importance of intensive supportive care.