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Background: The coronavirus disease 2019 (COVID-19) pandemic has resulted in infections among patients with cancer. Our study aimed to investigate the potential adverse impact of anti-cancer treatments within 2 weeks of COVID-19 infection on clinical outcomes in patients with cancer. Methods: This retrospective cohort study analyzed 70 cancer patients with COVID-19 infection from the First Hospital of Jilin University in Changchun City, Jilin Province, between March and June 2022. Data on demographic characteristics, vaccination status, COVID-19 clinical classification, symptoms, complications, tumor-related characteristics, laboratory examinations and medical interventions were extracted from electronic medical record. The primary outcome of our study was Intensive Care Unit (ICU) admission. Logistic regression model was performed to investigate the association between anti-cancer treatments within 2 weeks after COVID-19 infection and the risk of ICU admission. Results: Of the 70 patients enrolled in this study, 37 received anti-cancer treatments within 2 weeks after COVID-19 infection. Patients receiving anti-cancer treatment were more likely to experience non-mild COVID-19, require oxygen therapy, develop acute respiratory distress syndrome (ARDS) and exhibit elevated inflammatory levels. The risk of ICU admission (P<0.001) and 30-day mortality after reverse transcriptase polymerase chain reaction (RT-PCR) negative conversion (P=0.007) was significantly higher in patients receiving anti-cancer treatments. In multivariate Logistic regression analysis, non-mild classification of COVID-19, anti-cancer treatments within 2 weeks and ECOG > 1were all independently associated with ICU admission after adjusting for confounder factors. The risk of ICU admission rose to 43.63 times (95% confidence interval=1.31-1452.94, P=0.035) in patients receiving anti-cancer treatments within 2 weeks. Conclusion: Anti-cancer treatments within 2 weeks of COVID-19 infection increase the risk of ICU admission and 30-day mortality after RT-PCR negative conversion in patients with cancer. It may be recommended to postpone cancer-related treatments for more than 2 weeks in cancer patients with COVID-19 infection.
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BACKGROUND: Distant metastasis, particularly visceral metastasis (VM), represents an important negative prognostic factor for prostate cancer (PCa) patients. However, due to the lower rate of occurrence of VM, studies on these patients are relatively rare. Consequently, studies focusing on prognostic factors associated with PCa patients with VM are highly desirable. AIM: To investigate the prognostic factors for overall survival (OS) in PCa patients with lung, brain, and liver metastases, respectively, and evaluate the impact of site-specific and number-specific VM on OS. METHODS: Data on PCa patients with VM were extracted from the Surveillance, Epidemiology, and End Results database between 2010 and 2015. Univariate and multivariate Cox regression analyses were used to analyze the association between clinicopathological characteristics and survival of patients with different site-specific VM. Kaplan-Meier analyses and Log-rank tests were performed to analyze the differences among the groups. RESULTS: A total of 1358 PCa patients with site-specific VM were identified from 2010 to 2015. Older age (> 70 years) (P < 0.001), higher stage (T3/T4) (P = 0.004), and higher Gleason score (> 8) (P < 0.001) were found to be significant independent prognostic factors associated with poor OS in PCa patients with lung metastases. Higher stage (T3/T4) (P = 0.047) was noted to be the only independent risk factor affecting OS in PCa patients with brain metastases. Older age (> 70 years) (P = 0.010) and higher Gleason score (> 8) (P = 0.001) were associated with shorter OS in PCa patients with liver metastases. PCa patients with isolated lung metastases exhibited significantly better survival outcomes compared with PCa patients with other single sites of VM (P < 0.001). PCa patients with a single site of VM exhibited a superior OS compared with PCa patients with multiple sites of VM (P < 0.001). CONCLUSION: This is the first Surveillance, Epidemiology, and End Results-based study to determine prognostic factors affecting OS in PCa patients with different site-specific VM. Clinical assessments of these crucial prognostic factors become necessary before establishing a treatment strategy for these patients with metastatic PCa.
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BACKGROUND: The KIF5B-RET fusion gene is a novel oncogene that has been observed in a subset of lung cancers in recent years. However, the results of related epidemiological studies remain unclear. Thus, a meta-analysis was conducted to evaluate the correlation of KIF5B-RET expression based on RT-PCR detection with clinicopathological features and prognosis of lung cancer. METHODS: The PubMed, Google Scholar, Wiley Online, SpringerLink and Chinese National Knowledge Infrastructure databases were searched to identify the eligible studies. The association of the occurrence ofKIF5B-RETfusion gene in lung cancer with age, gender, smoking status, histology type, differentiation and TNM stage was analyzed. HR, overall survival (OS) and progression-free survival (PFS) were used to describe the prognosis of patients with lung cancer. The OR and 95% CI were calculated to assess the correlations. Random- and fixed-effects models were used to analyze the data. RESULTS: A total of 13 studies, which included 8,859 lung cancer patients, were included in the study based on the inclusion criteria. A total of 121 patients with positiveKIF5B-RETfusion gene status were detected, with a positive expression rate of 1.36%. KIF5B-RET fusion gene status was identified at significantly higher frequencies in female (OR=0.67, 95% CI=0.48-0.94) than male patients, and the same trend was found in young (<60 years) patients (OR=0.08, 95% CI=0.01-0.45) compared with old patients (≥60 years). No differences were found in the TNM stage, histology, differentiation and smoking. Based on the prognosis, no difference was found between the status of the positive and negativeKIF5B-RET fusion genes in OS and PFS of patients. CONCLUSION: The KIF5B-RETfusion gene occurred predominantly in young female patients with lung cancer. However, the relationship between the expression of the fusion gene and the prognosis of lung patients remains unclear.
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BACKGROUND AND OBJECTIVE: We performed this systematic review and meta-analysis to assess the efficacy and safety of antigen-specific immunotherapy (Belagenpumatucel-L, MAGE-A3, L-BLP25, and TG4010) in the treatment of patients with non-small-cell lung cancer (NSCLC). METHODS: A comprehensive literature search on PubMed, Embase, and Web of Science was conducted. Eligible studies were clinical trials of patients with NSCLC who received the antigenspecific immunotherapy. Pooled hazard ratios (HRs) with 95% confidence intervals (95%CIs) were calculated for overall survival (OS), progression-free survival (PFS). Pooled risk ratios (RRs) were calculated for overall response rate (ORR) and the incidence of adverse events. RESULTS: In total, six randomized controlled trials (RCTs) with 4,806 patients were included. Pooled results showed that, antigen-specific immunotherapy did not significantly prolong OS (HR=0.92, 95%CI: 0.83, 1.01; P=0.087) and PFS (HR=0.93, 95%CI: 0.85, 1.01; P=0.088), but improved ORR (RR=1.72, 95%CI: 1.11, 2.68; P=0.016). Subgroup analysis based on treatment agents showed that, tecemotide was associated with a significant improvement in OS (HR=0.85, 95%CI: 0.74, 0.99; P=0.03) and PFS (HR=0.70, 95%CI: 0.49, 0.99, P=0.044); TG4010 was associated with an improvement in PFS (HR=0.87, 95%CI: 0.75, 1.00, P=0.058). In addition, NSCLC patients who were treated with antigen-specific immunotherapy exhibited a significantly higher incidence of adverse events than those treated with other treatments (RR=1.11, 95%CI: 1.00, 1.24; P=0.046). CONCLUSION: Our study demonstrated the clinical survival benefits of tecemotide and TG4010 in the treatment of NSCLC. However, these evidence might be limited by potential biases. Therefore, further well-conducted, large-scale RCTs are needed to verify our findings.