ABSTRACT
Background: Studies evaluating COVID-19 in cancer patients beyond the effects of the infection itself are generally from single institutions, voluntary surveillance registries, or surveys. To extend the limited evidence available, we analyzed both the incidence and one-year mortality of breast cancer (BC) female patients at a population level in Lombardy, the first Italian region affected by the pandemic and the most populous one. Method(s): The regional COVID-19 database, including all SARS-CoV2 cases based on a positive swab result, was integrated with the Regional Health Information System, collecting data from 10 million habitants on primary medical care;hospitalization;pharmaceuticals;and survival status. From the database, we extracted data of newly-diagnosed not previously treated BC patients, including patient characteristics and comorbidities (respiratory insufficiency, diabetes, chronic kidney disease, cerebral vasculopathy, hypertension and cardiovascular disease), BC stage, and treatment. Result(s): The study population consisted of 12912 newlydiagnosed/ not previously treated BC patients, 7349 in 2019 and 5563 in 2020. There were two drops of newly diagnosed cases, one in the first wave (March-May 2020;-37.2%), the other in the second wave (October-December 2020;-15.8%). No major differences were found between characteristics of cases occurring in 2019 and 2020;with the exception of a reduced use of both chemotherapy (86.2% vs 53.4%) and radiotherapy (65.7% vs 42.1%) in 2020. One-year overall survival was 97.6% in 2020 vs 98.3% in 2019, Hazard Ratio [HR] (95% Confidence Interval [95%CI]): 1.51 (1.18-1.93);p=0.0010 at univariate analysis;HR 0.91 (0.71-1.17), p= 0.47, after adjusting for age, stage, BC treatment and comorbidities at multivariable analysis. COVID-19 occurred in 250 of 5563 (4.5%) newly-diagnosed BC cases in 2020. Notably, the time-dependent COVID-19 effect was significantly associated with mortality (multivariable Cox analysis HR 2.25 (1.35-3.74);p=0.0018) even after adjusting for age, stage, treatment and comorbidities. Conclusion(s): Breast cancer incidence and survival were both reduced in 2020, and COVID-19 was an independent predictor of death in BC patients. While follow-up is ongoing to assess long sequelae of COVID-19, these results encourage prevention of infection regardless of BC stage;and at the same time warn against suboptimal treatment and overlooking new diagnoses to ensure a favourable prognostic outcome.
ABSTRACT
Background: At the last update of the TERAVOLT registry, patients with thoracic malignancies and COVID-19showed a high mortality rate (35.5% overall and 31% due to COVID-19) compared to the general population and toother solid tumors. Major determinants of mortality were age, Eastern Cooperative Oncology Group PerformanceStatus (ECOG-PS), and previous administration of chemotherapy. No cancer-specific data are available with respectto small-cell lung cancer (SCLC) and other rare thoracic malignancies. Methods: TERAVOLT is an international, multicenter observational registry launched to collect data on patients withthoracic malignancies diagnosed with COVID-19 infection. Risk factors for hospitalization and mortality wereidentified by Wilcoxon rank sum tests (continuous variables) or χ2 tests (categorical variables). Here we present thesubgroup analyses of SCLC and other rare thoracic malignancies, including malignant pleural mesothelioma (MPM), thymic carcinoma/thymoma, and carcinoid/neuroendocrine lung tumors. Results: As of June 4th, 2020, a total of 581 patients with COVID-19 and thoracic cancers have been entered;among them, 66 (11%) were SCLC, 22 (4%) were MPM, 18 (3%) were thymic carcinoma/thymoma, 12 (2%) werecarcinoid/neuroendocrine lung tumors, and 442 (76%) NSCLC;21 were an unknown type. Among SCLC patients,54% were > 65 years old, 56% were males, 98% were current/former smokers, 31% had an ECOG-PS ≥ 2, 67%had stage IV disease, 82% were on current oncologic treatment at the COVID-19 diagnosis, and 58% werereceiving chemotherapy alone or in combination with immune checkpoint inhibitors. Among other non-NSCLCpatients, 56% were > 65 years old, 56% were males, 69% were current/former smokers, 24% had an ECOG-PS ≥ 2,50% had stage IV disease, 52% were on current oncologic treatment at the COVID-19 diagnosis, and 37% werereceiving chemotherapy alone or in combination with immune checkpoint inhibitors. Overall, 79.7% of the patientsrequired hospitalization, 15.4% were admitted to an ICU, and 39.8% died (36.2% due to COVID-19). Among SCLCpatients, 74.2% required hospitalization, 14.3% were admitted to an ICU, and 42.2% died (37.5% due to COVID-19).Among SCLC patients, age > 65 years old (p=0.81), gender (p=0.71), smoking status (p=1.0), ECOG-PS ≥2(p=0.17), disease stage of IV (p=0.37), and having received chemotherapy alone or with checkpoint inhibitors(p=0.84) were not associated with mortality. Conclusions: This analysis confirmed that patients with thoracic malignancies have a high mortality and risk forhospitalization due to COVID-19 overall. SCLC patients showed the highest mortality rate among thoracic cancerpatients.
ABSTRACT
Background: Early reports on cancer patients infected with COVID-19 have suggested a high mortality rate compared to the general population. Patients with thoracic malignancies are considered high risk given their age, preexisting comorbidities, smoking, and pre-existing lung damage in addition to therapies administered to treat their illness. Method: We launched a global consortium to collect data on patients with thoracic malignancies diagnosed with COVID-19 infection to understand the impact on this patient population. Goals of this consortium are to provide data for guidance to oncology professionals on treating patients with thoracic malignancies while understanding the risk factors for morbidity and mortality from this novel virus. Results: As of April 23, 2020, a total of 295 patients across 59 centers and 9 countries have been entered;median age 68, 31% female, 79% current/former smokers, HTN and COPD most common comorbidities;73% NSCLC, 14% SCLC, 4% meso and thymic, 49% patients with stage IV disease, majority on chemo or chemo-IO and 24% receiving RT. The use of IO or chemo-IO does not appear to impact risk of hospitalization, while treatment with TKI appears to be associated with a decreased risk of hospitalization. 73% patients required hospitalization, most common therapy given to treat COVID was antibiotics 67%, antivirals 33%, and steroids 30%. Conclusion: With an ongoing global pandemic of COVID-19 our data suggest that patients with thoracic malignancies are at high risk for hospitalization. Updated results to be presented will include impact on specific chemo-IO regimens and number of lines of therapy, which may impact hospitalization and risk of death as well as which therapies administered may impact survival in patients treated for COVID-19.
ABSTRACT
Cancer patients appear to be more likely to be diagnosed with coronavirus disease 2019 (COVID-19). This is supported by the understanding of immunometabolic pathways that intersect patients with infection and cancer. However, data derived by case series and retrospective studies do not offer a coherent interpretation, since data from China suggest an increased risk of COVID-19, while data from the United States and Italy show a prevalence of COVID-19 in cancer patients comparable with the general population. Noteworthy, cancer and COVID-19 exploit distinct patterns of macrophage activation that promote disease progression in the most severe forms. In particular, the alternative activation of M2-polarized macrophages plays a crucial role in cancer progression. In contrast, the macrophage-activation syndrome appears as the source of M1-related cytokine storm in severe COVID-19 disease, thus indicating macrophages as a source of distinct inflammatory states in the two diseases, nonetheless as a common therapeutic target. New evidence indicates that NAMPT/NAD metabolism can direct both innate immune cell effector functions and the homeostatic robustness, in both cancer and infection. Moreover, a bidirectional relationship exists between the metabolism of NAD and the protective role that angiotensin converting enzyme 2, the COVID-19 receptor, can play against hyperinflammation. Within this immunometabolic framework, the review considers possible interference mechanisms that viral infections and tumors elicit on therapies and provides an overview for the management of patients with cancer affected by COVID-19, particularly for the balance of risk and benefit when planning normally routine cancer treatments and follow-up appointments.