Concerns related to the interactions between COVID-19 vaccination and cancer/cancer treatment were barriers to complete primary vaccination series among Chinese cancer patients: A multicentre cross-sectional survey.

COVID-19 vaccination is effective for cancer patients without safety concerns. However, COVID-19 vaccination hesitancy is common among cancer patients. This study investigated factors affecting primary COVID-19 vaccination series completion rate among cancer patients in China. A multicentre cross-sectional study was conducted in four Chinese cities in different geographic regions between May and June 2022. A total of 893 cancer inpatients provided written informed consent and completed the study. Logistic regression models were fitted. Among the participants, 58.8% completed the primary COVID-19 vaccination series. After adjusting for background characteristics, concerns about interactions between COVID-19 vaccination and cancers/cancer treatment (adjusted odds ratios [AOR]: 0.97, 95%CI: 0.94, 0.99) were associated with lower completion of primary vaccination series. In addition, perceived higher risk of COVID-19 infection comparing to people without cancers (AOR: 0.46, 95%CI: 0.24, 0.88), perceived a high chance of having severe consequences of COVID-19 infection (AOR: 0.68, 95%CI: 0.51, 0.91) were also associated with lower completion rate. Being suggested by significant others (AOR: 1.32, 95%CI: 1.23, 1.41) and perceived higher self-efficacy to receive COVID-19 vaccination (AOR: 1.48, 95%CI: 1.31, 1.67) were positively associated with the dependent variable. Completion rate of primary COVID-19 vaccination series was low among Chinese cancer patients. Given the large population size and their vulnerability, this group urgently needs to increase COVID-19 vaccination coverage. Removing concerns about interactions between COVID-19 vaccination and cancers, using fear appeal approach, involving significant others, and facilitating patients to make a plan to receive COVID-19 vaccination might be useful strategies.

Measuring symptom burden in patients with cancer during a pandemic: the MD Anderson symptom inventory for COVID-19 (MDASI-COVID).

BACKGROUND: Symptom expression in SARS-CoV-2 infection (COVID-19) may affect patients already symptomatic with cancer. Patient-reported outcomes (PROs) can describe symptom burden during the acute and postacute stages of COVID-19 and support risk stratification for levels of care. At the start of the COVID-19 pandemic, our purpose was to rapidly develop, launch through an electronic patient portal, and provide initial validation for a PRO measure of COVID-19 symptom burden in patients with cancer. METHODS: We conducted a CDC/WHO web-based scan for COVID-19 symptoms and a relevance review of symptoms by an expert panel of clinicians treating cancer patients with COVID-19 to create a provisional MD Anderson Symptom Inventory for COVID-19 (MDASI-COVID). English-speaking adults with cancer who tested positive for COVID-19 participated in the psychometric testing phase. Patients completed longitudinal assessments of the MDASI-COVID and the EuroQOL 5 Dimensions 5 Levels (EQ-5D-5L) utility index and visual analog scale, which were presented through an electronic health record patient portal. To test the validity of the MDASI-COVID to distinguish between known groups of patients, we hypothesized that patients hospitalized, including having a hospitalization extended, for COVID-19 versus those not hospitalized would experience higher symptom burden. Correlation of mean symptom severity and interference scores with relevant EQ-5D-5L scores tested concurrent validity. The reliability of the MDASI-COVID was evaluated by calculating Cronbach alpha coefficients and test-retest reliability was evaluated by calculating Pearson correlation coefficients between the initial assessment and a second assessment no more than 14 days later. RESULTS: The web-based scan found 31 COVID-19-related symptoms; rankings of a 14-clinician expert panel reduced this list to 11 COVID-specific items to be added to the core MDASI. Time from literature scan start in March 2020 to instrument launch in May 2020 was 2 months. Psychometric analysis established the MDASI-COVID's reliability, known-group validity, and concurrent validity. CONCLUSIONS: We were able to rapidly develop and electronically launch a PRO measure of COVID-19 symptom burden in patients with cancer. Additional research is needed to confirm the content domain and predictive validity of the MDASI-COVID and define the symptom burden trajectory of COVID-19.

Clinical and inflammation marker features of cancer patients with COVID-19: data of Istanbul, Turkey multicenter cancer patients (2020-2022).

OBJECTIVE: We aimed to identify a rapid, accurate, and accessible biomarker in the early stages of COVID-19 that can determine the prognosis of the disease in cancer patients. METHODS: A total number of 241 patients with solid cancers who had a COVID-19 diagnosis between March 2020 and February 2022 were included in the study. Factors and ten different markers of inflammation were analyzed by year of diagnosis of COVID-19 and grouped by severity of infection. RESULTS: Hospitalization, referral to the intensive care unit (ICU), mechanical ventilation, and death were more frequent in 2020 than in 2021 and 2022 (mortality rates, respectively, were 18.8%, 3.8%, and 2.5%). Bilateral lung involvement and chronic lung disease were independent risk factors for severe disease in 2020. In 2021-2022, only bilateral lung involvement was found as an independent risk factor for severe disease. The neutrophil-to-lymphocyte platelet ratio (NLPR) with the highest area under the curve (AUC) value in 2020 had a sensitivity of 71.4% and specificity of 73.3% in detecting severe disease (cut-off > 0.0241, Area Under the Curve (AUC) = 0.842, p <.001). In 2021-2022, the sensitivity of the C-reactive protein-to-lymphocyte ratio (CRP/L) with the highest AUC value was 70.0%, and the specificity was 73.3% (cut-off > 36.7, AUC = 0.829, p = .001). CONCLUSIONS: This is the first study to investigate the distribution and characteristics of cancer patients, with a focus on the years of their COVID-19 diagnosis. Based on the data from our study, bilateral lung involvement is an independent factor for severe disease, and the CRP/L inflammation index appears to be the most reliable prognostic marker.

Clinical usefulness of the Patient-Generated Subjective Global Assessment and modified Glasgow Prognostic Score in decision making concerning the indication of enteral nutritional therapy in patients with incurable cancer receiving palliative care.

OBJECTIVES: This study aimed to identify the clinical usefulness of assessing nutritional status using validated tools for the indication of enteral nutrition for patients with incurable cancer in palliative care. METHODS: In this prospective cohort study, patients were assessed for nutritional risk using the Patient-Generated Subjective Global Assessment and for cancer cachexia (CC) using the modified Glasgow Prognostic Score upon enrollment and after ∼30 d. The outcome was stable or improved Karnofsky Performance Status. Logistic regression models were used, providing the odds ratio (OR) and 95% confidence interval (CI). RESULTS: A total of 180 patients participated. The only nutritional status parameter that was associated with function was CC. The less severe the CC, the more likely Karnofsky Performance Status was to remain stable or improve over 30 d (non-cachectic: OR = 1.95; 95% CI, 1.01-3.47; malnourished: OR = 1.06; 95% CI, 1.01-1.42). Furthermore, white skin color (OR = 1.79; 95% CI, 1.04-2.47), higher educational level (OR = 1.39; 95% CI, 1.13-2.78), and inadequate calorie intake (OR = 1.96; 95% CI, 1.02-2.81) were also associated with the outcome. CONCLUSIONS: Using the modified Glasgow Prognostic Score to identify the existence and severity of CC, which is associated with function, has the potential to help clinical decision making concerning the indication of enteral nutrition in patients with incurable cancer receiving palliative care.

Impact of admission viral load on respiratory outcomes in hospitalized SARS-CoV-2 infected patients with cancer and without cancer: A 2-, 4- and 6-months follow-up prospective study.

BACKGROUND: This prospective follow-up study aimed to determine the temporal changes in respiratory outcomes over 6 months period in patients with and without cancer hospitalized for severe COVID-19 and to determine the associated risk factors based on admission viral load. METHODS: All adult patients hospitalized with a confirmed diagnosis of severe SARS-CoV-2 infection were investigated using rRT-PCR on nasopharyngeal swab specimens. Patients were divided into three arbitrary groups according to their cycle threshold (CT) values obtained at admission as high (CT<25.0), medium (CT between 25.0 and 30.0), and low (CT>30.0) viral load. Patients had pulmonary function tests, chest high-resolution computed tomography (HRCT), and a 6-minute walking time distance measured at each follow-up visit. RESULTS: This follow-up study had a total of 112 participants, of which 75 were cancer-free and 37 had active cancer. Overall, 29.5% had a low viral load, compared to 48.2% who had a high viral load, and 22.3% had a medium viral load. For patients who did not have cancer, the mean age was 57.3 (SD 15.4) and for those who had cancer, it was 62.3 (SD 18.4). Most patients had overall better temporal changes in pulmonary function and tolerance, as well as exercise capacity, even though severe and chronic respiratory abnormalities persisted in a fraction of the patients. In patients without cancer who had a high viral load, we have seen a substantial reduction in diffusion capacity of the lungs for carbon monoxide (DLCO) predicted value with a median of 65 (IQR 63-70) while in patients with cancer, it was 60 (IQR 56-67) at 2 months. At 4 and 6 months, the predicted DLCO values for patients without cancer were 65 (IQR 61-70), whereas the predicted DLCO values for patients with active cancer were 62 (IQR 60-67) and 67 (59-73). Importantly, radiological abnormalities persisted in 22 (29%) non-cancer patients and 16 (43%) cancer patients. Multivariate regression analysis showed an increased odds ratio of impaired HRCT associated with a high viral load of 3.04 (95% CI:1.68-6.14; p < 0.001) for patients without cancer and 5.07 (95% CI: 4.04-10.8; p < 0.0001) for patients with cancer. The CT pneumonia score at hospitalization was 2.25 (95% CI:1.76-3.08; p = 0.041) and 2.85 (95% CI:1.89-5.14; p = 0.031) for non-cancer and cancer patients respectively. CONCLUSIONS: The evidence of persistent pulmonary abnormalities and radiographic changes was found in both patient groups who had high viral load at hospital admission and suggesting that SARS-CoV-2 viral load might serve as a useful indicator to predict the development of respiratory complications in patients with COVID-19.

COVID-19 in cancer patients.

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2, has currently affected >220 million individuals worldwide. The complex interplay of immune dysfunction, active malignancy, the effect of cancer treatment on the immune system and additional comorbidities associated with cancer and COVID-19 all affect the outcomes of COVID-19 in patients with cancer. We have discussed the published findings (through the end of September 2021) on the effects of cancer on the morbidity and mortality of COVID-19, common factors between cancer and COVID-19, the interaction of cancer and COVID-19 treatments, the impact of COVID-19 on cancer clinical services, immune test findings in cancer patients with COVID-19 and the long-term effects of COVID-19 on cancer survivors.

Outcomes of Cancer Patients with COVID-19: The Virginia Commonwealth University Experience.

PURPOSE: The cancer population is significantly impacted by coronavirus disease 2019 (COVID-19) due to inherent risks of infection imposed by malignancy and therapeutic agents. Evaluating risk factors in this group will lead to improved guidelines for the treatment of malignancy in the setting of a COVID-19 pandemic. PATIENTS AND METHODS: This retrospective study reviewed 295 inpatient cancer patients positive for COVID-19 between February 2020 and December 2021 to determine specific risk factors of mortality and associated complications. Various patient characteristics were collected to evaluate outcomes in patient death, oxygen requirement, ventilatory support, and increased length of stay. RESULTS: 31 (10.5%) of 295 patients died due to COVID-19. Of those that died, the majority had hematologic cancer (48.4%). There was no difference in the odds of death among the cancer groups. Those vaccinated had a reduced risk of death (OR 0.04, CI 0-0.23). Patients with lung cancer (OR 3.69, CI 1.13-12.31), obesity (OR 3.27, CI 1.18-9.27), CHF (OR 2.68, CI 1.07-6.89) were more likely to require ventilation. Those treated with hormonal therapy had higher odds of having a prolonged admission (OR 5.04, CI 1.17-2.53). Otherwise, cancer therapy had no significant difference in any outcome. CONCLUSION: The mortality rate of cancer patients was 10.5%, lower than in other studies. Vaccinations had mortality benefits, but no effect on hypoxia, ventilator use, or LOS. Delaying cancer therapy during peak infection is likely not necessary based on the results of this study. With improved knowledge in the risks of infection and the utility of personalized precautions, both providers and patients can better prepare for another potential wave of COVID-19.

Research Note: COVID-19 Is Not an Independent Cause of Death.

The COVID-19 pandemic has had overwhelming global impacts with deleterious social, economic, and health consequences. To assess the COVID-19 death toll, researchers have estimated declines in 2020 life expectancy at birth (e0). When data are available only for COVID-19 deaths, but not for deaths from other causes, the risks of dying from COVID-19 are typically assumed to be independent of those from other causes. In this research note, we explore the soundness of this assumption using data from the United States and Brazil, the countries with the largest number of reported COVID-19 deaths. We use three methods: one estimates the difference between 2019 and 2020 life tables and therefore does not require the assumption of independence, and the other two assume independence to simulate scenarios in which COVID-19 mortality is added to 2019 death rates or is eliminated from 2020 rates. Our results reveal that COVID-19 is not independent of other causes of death. The assumption of independence can lead to either an overestimate (Brazil) or an underestimate (United States) of the decline in e0, depending on how the number of other reported causes of death changed in 2020.

"I Have Constant Fear": A National Qualitative Study on the Impact of COVID-19 on Cancer Care and Potential Solutions to Improve the Cancer Care Experience During the COVID-19 Pandemic.

PURPOSE: The COVID-19 pandemic has greatly affected cancer care delivery for patients, including cancellation or delays in surveillance imaging, clinic visits, and treatments. Yet, gaps remain in understanding the extent of the impact of the COVID-19 pandemic on patients with cancer and potential ways to overcome these impacts. METHODS: We conducted semistructured, in-depth, one-on-one qualitative interviews among adults with a past or current history of cancer in the United States. Participants from a parent quantitative survey were purposively sampled to participate in a qualitative interview. Interview questions addressed (1) experiences with cancer care delivery during the COVID-19 pandemic; (2) unmet concerns regarding care and other impacts; and (3) approaches to improve patient experiences. We conducted inductive thematic analysis. RESULTS: Fifty-seven interviews were conducted. Four themes emerged: (1) concern regarding the risk of COVID-19 infection among patients with cancer and their families; (2) disruptions in care increased patients' anxiety about poor cancer outcomes and death from cancer; (3) significant social and economic impacts; and (4) increased social isolation and anxiety about the future. Suggestions for current clinical practice include (1) clear communication on patients' health risks; (2) increased attention to mental health needs and access to mental health services; and (3) routine use of telemedicine as frequently as possible when clinically appropriate. CONCLUSION: These rich findings reveal the significant impact of the COVID-19 pandemic on patients with cancer and potential approaches to mitigate the impact from the patient perspective. The findings not only inform current cancer care delivery but also health system responses to future public health or environmental crises that may pose a unique health risk for patients with cancer or disrupt their care.

To study the pattern of seroconversion for SARS-CoV-2 IgG antibodies in COVID-infected cancer patients and to correlate it clinically - A cross-sectional study.

Background: Though as per literature cancer is also consider an associated risk factor for morbidity and mortality for covid infection but practically most of the cancer patients showed no symptoms with less mortality in second wave of pandemic. So this cross sectional comparative analysis study was designed to see the prevalence of sero-conversion for SARS -coV for IgG in covid infected cancer patients and to compare the IgG antibodies level between covid infected cancer patients and covid infected healthy persons. Material and Method: Covid-19 antibody screening of covid recovered cancer patients as well as covid recovered healthy persons was done in department of Transfusion Medicine.IgG antibody for COVID-19 was detected using microtiter plate with whole-cell antigen coating, an in-house validated kit by NIV ICMR3. Prevalence of sero-conversion was noted down in both the groups and compared. Result: There was more infectivity rate in second covid wave. Case fatality rate was much lesser as compared to 1st wave in cancer patients. In cancer patients maximum seroconversion was seen in younger group i.e. 21-30 yrs. of age, this was in contrast to finding in general population, where minimum seroconversion was seen in younger age group. It was observed that more prevalence of sero conversion was seen in general population as compared to cancer patients, but difference was non-significant. Conclusion: Though cancer patients showed less rate of seroconversion as compared to normal healthy person, but none of them showed any moderate or severe symptoms inspite of being a risk factor for severity of covid. Though larger study are required to comment on statistical conclusion.

Efficacy and Safety of Direct Oral Anticoagulants Compared With Heparin for Preventing Thromboembolism in Hospitalized Patients With COVID-19: A Systematic Review and Meta-Analysis.

A high rate of thromboembolism and a high risk of death have been reported regarding hospitalized patients with coronavirus disease 2019 (COVID-19). Recently, we noticed that clinicians in some comparative studies used direct oral anticoagulants (DOACs) to prevent thromboembolism in patients with COVID-19. However, it is uncertain whether DOACs are better than recommended heparin for hospitalized patients with COVID-19. Therefore, a direct comparison of the prophylactic effects and safety between DOACs and heparin is needed. We systematically searched PubMed, Embase, Web of Science, and the Cochrane Library from 2019 to December 1, 2022. Randomized controlled trials or retrospective studies comparing the efficacy or safety of DOACs with that of heparin in preventing thromboembolism for hospitalized patients with COVID-19 were included. We assessed endpoints and publication bias using Stata 14.0. Five studies comprising 1360 hospitalized COVID-19 patients with mild to moderate cases were identified in the databases. Comparing the embolism incidence, we found that DOACs had a better effect than heparin, mainly low-molecular-weight heparin (LMWH), in preventing thromboembolism (risk ratio [RR] = 0.63, 95% confidence interval [CI] [0.43-0.91], P = 0.014). Considering safety, DOACs resulted in less bleeding than heparin during hospitalization (RR = 0.52, 95% CI [0.11-2.44], P = 0.411). Similar mortality was discovered in the 2 groups (RR = 0.94, 95% CI [0.59-1.51], P = 0.797). In noncritically hospitalized patients with COVID-19, DOACs are superior to heparin, even LMWH, in preventing thromboembolism. Compared with heparin, DOACs have a lower trend of bleeding and yield a similar mortality rate. Therefore, DOACs may be a better alternative for patients with mild to moderate COVID-19.

Spontaneous cancer remission after COVID-19: insights from the pandemic and their relevance for cancer treatment.

Early in the COVID-19 pandemic, it emerged that the risk of severe outcomes was greater in patients with co-morbidities, including cancer. The huge effort undertaken to fight the pandemic, affects the management of cancer care, influencing their outcome. Despite the high fatality rate of COVID-19 disease in cancer patients, rare cases of temporary or prolonged clinical remission from cancers after SARS-CoV-2 infection have been reported. We have reviewed sixteen case reports of COVID-19 disease with spontaneous cancer reduction of progression. Fourteen cases of remission following viral infections and two after anti-SARS-CoV-2 vaccination. The immune response to COVID-19, may be implicated in both tumor regression, and progression. Specifically, we discuss potential mechanisms which include oncolytic and priming hypotheses, that may have contributed to the cancer regression in these cases and could be useful for future options in cancer treatment.

Cancer and COVID-19: unravelling the immunological interplay with a review of promising therapies against severe SARS-CoV-2 for cancer patients.

Cancer patients, due to their immunocompromised status, are at an increased risk for severe SARS-CoV-2 infection. Since severe SARS-CoV-2 infection causes multiple organ damage through IL-6-mediated inflammation while stimulating hypoxia, and malignancy promotes hypoxia-induced cellular metabolic alterations leading to cell death, we propose a mechanistic interplay between both conditions that results in an upregulation of IL-6 secretion resulting in enhanced cytokine production and systemic injury. Hypoxia mediated by both conditions results in cell necrosis, dysregulation of oxidative phosphorylation, and mitochondrial dysfunction. This produces free radicals and cytokines that result in systemic inflammatory injury. Hypoxia also catalyzes the breakdown of COX-1 and 2 resulting in bronchoconstriction and pulmonary edema, which further exacerbates tissue hypoxia. Given this disease model, therapeutic options are currently being studied against severe SARS-COV-2. In this study, we review several promising therapies against severe disease supported by clinical trial evidence-including Allocetra, monoclonal antibodies (Tixagevimab-Cilgavimab), peginterferon lambda, Baricitinib, Remdesivir, Sarilumab, Tocilizumab, Anakinra, Bevacizumab, exosomes, and mesenchymal stem cells. Due to the virus's rapid adaptive evolution and diverse symptomatic manifestation, the use of combination therapies offers a promising approach to decrease systemic injury. By investing in such targeted interventions, cases of severe SARS-CoV-2 should decrease along with its associated long-term sequelae and thereby allow cancer patients to resume their treatments.

Long COVID in Cancer: A Matched Cohort Study of 1-year Mortality and Long COVID Prevalence Among Patients With Cancer Who Survived an Initial Severe SARS-CoV-2 Infection.

OBJECTIVES: The long-term effects of severe acute respiratory syndrome coronavirus 2 (coronavirus disease 2019 [COVID-19]) infection in patients with cancer are unknown. We examined 1-year mortality and prevalence of long COVID in patients with and without cancer after initial hospitalization for acute COVID-19 infection. METHODS: We previously studied 585 patients hospitalized from March to May 2020 with acute COVID-19 infection at Weill Cornell Medicine (117 patients with cancer and 468 age, sex, and comorbidity-matched non-cancer controls). Of the 456 patients who were discharged, we followed 359 patients (75 cancer and 284 non-cancer controls) for COVID-related symptoms and death, at 3, 6, and 12 months after initial symptom onset. Pearson χ 2 and Fisher exact tests were used to determine associations between cancer, postdischarge mortality, and long COVID symptoms. Multivariable Cox proportional hazards models adjusting for potential confounders were used to quantify the risk of death between patients with and without cancer. RESULTS: The cancer cohort had higher mortality after hospitalization (23% vs 5%, P < 0.001), a hazard ratio of 4.7 (95% CI: 2.34-9.46) for all-cause mortality, after adjusting for smoking and oxygen requirement. Long COVID symptoms were observed in 33% of patients regardless of cancer status. Constitutional, respiratory, and cardiac complaints were the most prevalent symptoms in the first 6 months, whereas respiratory and neurological complaints (eg, "brain fog" and memory deficits) were most prevalent at 12 months. CONCLUSIONS: Patients with cancer have higher mortality after hospitalization for acute severe acute respiratory syndrome coronavirus 2 infections. The risk of death was highest in the first 3 months after discharge. About one-third of all patients experienced long COVID.

The Infection Profile and Survival of Children and Adolescents With COVID-19 Undergoing Cancer Treatment: A Cohort Study.

OBJECTIVE: The objective of this study was to evaluate the clinical evolution of coronavirus disease 2019 (COVID-19) in children and adolescents with cancer. METHODS: Cohort involving patients undergoing cancer treatment, 19 years old and under, with the diagnosis of COVID-19 by real-time polymerase chain reaction, in a reference hospital, between March 2020 and November 2021. Data were collected from medical records and interviews with patients and/or guardians. The primary outcomes studied were severe/critical COVID-19 presentation, deaths from any cause and overall survival. The Cox proportional hazards multivariate regression analysis was performed to determine the risk of death. RESULTS: Sixty-two participants were included, most (67.7%) were male, with a median age of 6.8 years. Severe/critical forms of COVID-19, observed in 24.2%, seemed to indicate that the pediatric population undergoing cancer treatment has a higher morbidity rate than the general pediatric population (8-9.2%). During follow-up (4.5-18 months), 20 patients (32.3%) completed their cancer treatment and 18 died (29%)-6 during hospitalization and 12 after discharge. In total 61.1% of deaths occurred within 63 days of a detectable real-time polymerase chain reaction. Patients with a higher risk of death presented with severe/critical COVID-19 [adjusted hazard risk (aHR): 8.51; 95% confidence interval (CI): 2.91-24.80; P < 0.00] solid tumors (aHR: 3.99; 95% CI: 1.43-11.12; P = 0.008) and diarrhea as a symptom of COVID-19 (aHR: 3.9; 95% CI: 1.23-12.73; P = 0.021). CONCLUSIONS: These findings support the impact that severe acute respiratory syndrome-associated coronavirus 2 infection has on the population of children and adolescents with cancer, not only regarding immediate severity but also in their survival rate. Further studies evaluating long-term outcomes of COVID-19 in children and adolescents with cancer should be encouraged.

Association of the COVID-19 Pandemic and Changes in Patterns of Cancer-Related Mortality in the United States.

PURPOSE: This study examined changes in patterns of cancer-related deaths during the first year of the coronavirus disease 2019 pandemic in the United States. METHODS: We identified cancer-related deaths, defined as deaths attributable to cancer as the primary cause (underlying cause) or deaths with cancer documented as one of the multiple contributing factors (contributing cause) from the Multiple Cause of Death database (2015-2020). We compared age-standardized cancer-related annual and monthly mortality rates for January-December 2020 (first pandemic year) to January-December 2015-2019 (prepandemic) overall and stratified by sex, race/ethnicity, urban rural residence, and place of death. RESULTS: We found that the death rate (per 100,000 person-years) with cancer as the underlying cause was lower in 2020 compared with 2019 (144.1 v 146.2), continuing the past trend observed in 2015-2019. By contrast, the death rate with cancer as a contributing cause was higher in 2020 than in 2019 (164.1 v 162.0), reversing the continuously decreasing trend from 2015 to 2019. We projected 19,703 more deaths with cancer as a contributing cause than expected on the basis of historical trends. Mirroring pandemic peaks, the monthly death rates with cancer as a contributing cause first increased in April 2020 (rate ratio [RR], 1.03; 95% CI, 1.02 to 1.04), subsequently declined in May and June 2020, and then increased again each month from July through December 2020 compared with 2019, with the highest RR in December (RR, 1.07; 95% CI, 1.06 to 1.08). CONCLUSION: Death rates with cancer as the underlying cause continued to decrease in 2020 despite the increase in death rates with cancer as a contributing cause in 2020. Ongoing monitoring of long-term cancer-related mortality trends is warranted to assess effects of delays in cancer diagnosis and receipt of care during the pandemic.

Vaccination for seasonal influenza, pneumococcal infection and SARS-CoV-2 in patients with solid tumors: recommendations of the Associazione Italiana di Oncologia Medica (AIOM).

Patients with cancer have a well-known and higher risk of vaccine-preventable diseases (VPDs). VPDs may cause severe complications in this setting due to immune system impairment, malnutrition and oncological treatments. Despite this evidence, vaccination rates are inadequate. The Italian Association of Medical Oncology [Associazione Italiana di Oncologia Medica (AIOM)] has been involved in vaccination awareness since 2014. Based on a careful review of the available data about the immunogenicity, effectiveness and safety of flu, pneumococcal and anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines, we report the recommendations of the AIOM about these vaccinations in adult patients with solid tumors. The AIOM recommends comprehensive education on the issue of VPDs. We believe that a multidisciplinary care model may improve the vaccination coverage in immunocompromised patients. Continued surveillance, implementation of preventive practices and future well-designed immunological prospective studies are essential for better management of our patients with cancer.

The Role of Lymphocyte Subsets, PD-1, and FAS (CD95) in COVID-19 Cancer Patients.

Lymphocytes are the main orchestrators that regulate the immune response in SARS-COV-2 infection. The exhaustion of T lymphocytes is a contributing factor to lymphopenia, which is responsible for the COVID-19 adverse outcome. However, it is still not demonstrated on a large scale, including cancer patients. Peripheral blood samples were obtained from 83 SARS-CoV2 infected cancer patients, and 29 COVID-19 infected noncancer patients compared to 28 age-matched healthy controls. Lymphocyte subsets were assessed for CD3, CD4, CD8, CD56, PD-1, and CD95 using flow cytometry. The data were correlated to the patients' clinical features, COVID-19 severity and outcomes. Lymphopenia, and decreased CD4+ T cells and CD8+ T cells were significantly observed in COVID-19 cancer and noncancer patients compared to the control group (p < 0.001, for all). There was a significantly increased expression of CD95 and PD-1 on the NK cells, CD4+ T cells, and CD8+ T cells in COVID-19 cancer and noncancer patients in comparison to the control group. The increased expression of CD95 on CD8+ T cells, as well as the increased expression of PD-1 on CD8+ T cells and NK cells are significantly associated with the severity of COVID-19 infection in cancer patients. The increased expression of CD95 and PD-1 on the CD4+ T cells, CD8+ T cells, and NK cells was observed significantly in nonsurviving patients and those who were admitted to the intensive care unit in COVID-19 cancer and noncancer patients. The increased expression of PD-1 and CD95 could be possible prognostic factors for COVID-19 severity and adverse outcomes in COVID-19 cancer and noncancer patients.

COVID-19 Vaccination in Patients With Cancer and Recipients of Cellular Therapy.

COVID-19 continues to disproportionately affect patients with cancer because of their underlying immunocompromised state. Strategies to mitigate the impact of COVID-19 on patients with cancer include vaccination, which has demonstrated some level of protection, at least against serious complications such as respiratory failure and death, with limited safety concerns. In this narrative review, we discuss the current COVID-19 vaccines that are available in the United States, the published data regarding vaccine efficacy and safety in patients with cancer, current vaccination guidelines, and future directions.