Clinical characteristics, outcomes, and risk factors for mortality in patients with cancer and COVID-19 in Hubei, China: a multicentre, retrospective, cohort study.

BACKGROUND: Patients with cancer are a high-risk population in the COVID-19 pandemic. We aimed to describe clinical characteristics and outcomes of patients with cancer and COVID-19, and examined risk factors for mortality in this population. METHODS: We did a retrospective, multicentre, cohort study of 205 patients with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and with a pathological diagnosis of a malignant tumour in nine hospitals within Hubei, China, from Jan 13 to March 18, 2020. All patients were either discharged from hospitals or had died by April 20, 2020. Clinical characteristics, laboratory data, and cancer histories were compared between survivors and non-survivors by use of χ2 test. Risk factors for mortality were identified by univariable and multivariable logistic regression models. FINDINGS: Between Jan 13 and Mar 18, 2020, 205 patients with cancer and laboratory-confirmed SARS-CoV-2 infection were enrolled (median age 63 years [IQR 56-70; range 14-96]; 109 [53%] women). 183 (89%) had solid tumours and 22 (11%) had haematological malignancies. The median duration of follow-up was 68 days (IQR 59-78). The most common solid tumour types were breast (40 [20%] patients), colorectal (28 [14%]), and lung cancer (24 [12%]). 54 (30%) of 182 patients received antitumour therapies within 4 weeks before symptom onset. 30 (15%) of 205 patients were transferred to an intensive care unit and 40 (20%) died during hospital admission. Patients with haematological malignancies had poorer prognoses than did those with solid tumours: nine (41%) of 22 patients with haematological malignancies died versus 31 (17%) of 183 patients with solid tumours (hazard ratio for death 3·28 [95% CI 1·56-6·91]; log rank p=0·0009). Multivariable regression analysis showed that receiving chemotherapy within 4 weeks before symptom onset (odds ratio [OR] 3·51 [95% CI 1·16-10·59]; p=0·026) and male sex (OR 3·86 [95% CI 1·57-9·50]; p=0·0033) were risk factors for death during admission to hospital. INTERPRETATION: Patients with cancer and COVID-19 who were admitted to hospital had a high case-fatality rate. Unfavourable prognostic factors, including receiving chemotherapy within 4 weeks before symptom onset and male sex, might help clinicians to identify patients at high risk of fatal outcomes. FUNDING: National Natural Science Foundation of China.

The status of anxiety state among cancer patients and their relatives during coronavirus disease 2019 (COVID-19) in Hubei, China.

BACKGROUND: During the coronavirus disease 2019 (COVID-19) epidemic, tumor patients and their families might suffer from greater psychological stress as a result of anxiety or other psychological disorders. We conducted an online study during the epidemic to explore the mental state of tumor patients and their families during this extraordinary time. METHODS: A cross-sectional survey was carried out. Questionnaires were distributed through the WeChat "Questionnaire Star" network. The snowball sampling technique was adopted and further promoted by subjects who had completed the questionnaire. RESULTS: A total of 1,030 valid questionnaires were collected. There were 609 (59.13%) tumor patients and 421 (40.87%) family members. One hundred and fifty-six (15.15%) subjects had anxiety, among which 65 (6.31%) had moderate to severe anxiety. Single-factor analysis indicated that age (>60 years old), the farmer occupation, and a high sleep disorder assessment score were risk factors for anxiety, while the latter two might also be independent risk factors, as suggested by multi-factor analysis. Infrequent contact with doctors was an independent risk factor for cancer patients, while uninterrupted anti-tumor therapy was an independent protective factor. 40.19% of the subjects expressed a need for psychosocial support during the COVID-19 period. CONCLUSIONS: The COVID-19 outbreak resulted in tumor patients and their relatives experiencing greater psychological pressure than usual, and patients were more worried about anti-tumor treatment and disease progression impacted by the epidemic. Both groups had a significant need for psychosocial help.

[Clinical Value of Droplet Digital PCR and Super-ARMS Detection of Epidermal Growth Factor Receptor Gene Mutation in Plasma Circulating Tumor DNA of Patients with Advanced Lung Adenocarcinoma].

BACKGROUND: The patients with advanced lung adenocarcinoma should select targeted drugs based on the type of tumor epidermal growth factor receptor (EGFR) gene mutation. However, it is difficult to collect tumor tissue of advanced lung adenocarcinoma, and some experts agree that peripheral blood can be used as a substitute for tumor tissue as a test specimen. This paper aimed to investigate the clinical value of ddPCR and super-amplification refractory mutation system (ARMS) in detecting EGFR gene mutation in peripheral blood of patients with advanced lung adenocarcinoma. METHODS: A total of 119 patients diagnosed in Beijing Chest Hospital Affiliated to Capital Medical University from February 2016 to February 2019 were collected, and the sensitivity and specificity of plasma ctDNA EGFR gene mutation detected by ddPCR and super-arms were compared. Some patients with positive EGFR gene mutations received oral treatment with first-line EGFR tyrosine kinase inhibitors (EGFR-TKI). The patients were divided into subgroups according to the test results. In group 1, both ddPCR and super-arms showed positive EGFR gene mutation results, with 21 cases. In group 2, ddPCR and super-arms detection of EGFR gene mutation were all negative, with 16 cases. In group 3, the ddPCR test was positive and the super-arms test was negative, with 5 cases. In group 4, the ddPCR test result was negative while the super-arms test result was positive. Since the number of patients in group 4 was 0, no statistics were included. Objective response rate (ORR) and disease control rate (DCR) were used to evaluate the short-term outcome, and progression-free survival (PFS) was compared with survival analysis to evaluate the long-term outcome. RESULTS: EGFR mutations were detected in 58 (48.7%) of 119 patients with advanced lung adenocarcinoma. The coincidence rate between ddPCR and EGFR gene mutation in tumor tissues was 82.4% (Kappa=0.647, P<0.001), the sensitivity was 74.1%, and the specificity was 90.2%. However, the coincidence degree of super-arms test and tissue test was 71.4%, the sensitivity was only 58.6%, and the specificity was 83.6%. The ORR and DCR values in group 3 were lower than those in group 1 and 2, but there was no significant difference in ORR between groups (P>0.05). Survival analysis showed that the PFS of the three groups was compared. The difference was not statistically significant (χ²=2.221, P=0.329). CONCLUSIONS: ddPCR, as a high sensitivity and specificity liquid gene detection method, can be used as a reliable method to detect the mutation of plasma ctDNA EGFR gene in patients with advanced lung adenocarcinoma. The results of plasma genetic testing can also be used as the basis for predicting the efficacy of EGFR-TKIs in patients.