Rates of COVID-19-Related Outcomes in Cancer Compared With Noncancer Patients

Differences in COVID-19-Related Hospitalization, Treatment, Complications, and Death by Race and Ethnicity and Area-Level Measures Among Individuals with Cancer in the ASCO Registry

Individuals with cancer exposed to SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), are more susceptible to COVID-19-related complications [...].

Exosomes derived from syncytia induced by SARS-2-S promote the proliferation and metastasis of hepatocellular carcinoma cells

Introduction

Coronavirus disease 2019 (COVID-19) is characterized by fever, fatigue, dry cough, dyspnea, mild pneumonia and acute lung injury (ALI), which can lead to acute respiratory distress syndrome (ARDS), and SARS-CoV-2 can accelerate tumor progression. However, the molecular mechanism for the increased mortality in cancer patients infected with COVID-19 is unclear.

Methods

Colony formation and wound healing assays were performed on Huh-7 cells cocultured with syncytia. Exosomes were purified from the cell supernatant and verified by nanoparticle tracking analysis (NTA), Western blot (WB) analysis and scanning electron microscopy (SEM). Differentially expressed proteins in syncytia-derived exosomes (Syn-Exos) and their functions was analyzed by Proteomic sequencing. Syn-Exo-mediated promotion of hepatocellular carcinoma cells was measured by CCK-8 and Transwell migration assays. The mechanism by which Syn-Exos promote tumor growth was analyzed by Western blotting. A patient-derived xenotransplantation (PDX) mouse model was constructed to evaluate the pathological role of the SARS-CoV-2 spike protein (SARS-2-S). The number of syncytia in the tumor tissue sections was determined by immunofluorescence analysis.

Results

Syncytium formation promoted the proliferation and migration of hepatocellular carcinoma cells. Proteomic sequencing revealed that proteins that regulate cell proliferation and metastasis in Syn-Exos were significantly upregulated. Syn-Exos promote the proliferation and migration of hepatocellular carcinoma cells. Animal experiments showed that a pseudotyped lentivirus bearing SARS-2-S (SARS-2-Spp) promoted tumor development in PDX mice. More syncytia were found in tumor tissue from SARS-2-Spp mice than from VSV-Gpp mice.

Conclusions

Syn-Exos induced by SARS-2-S can promote the proliferation and metastasis of hepatocellular carcinoma cells.

State of Knowledge About Thyroid Cancers in the Era of COVID-19-A Narrative Review

Thyroid cancer (TC), due to its heterogeneous nature, remains a clinical challenge. Many factors can initiate the carcinogenesis process of various types of TC, which complicates diagnosis and treatment. The presented review gathers current information on specific types of TC, taking into account the effects of the COVID-19 pandemic. It is likely that COVID-19 has influenced and continues to influence the function of the thyroid gland. A high percentage of patients with COVID-19 showing simultaneous pathological changes in the thyroid suggests that SARS-CoV-2 may disrupt the function of this gland and initiate pro-oxidative mechanisms, inflammatory states, and autoimmune diseases, thereby promoting the formation of neoplastic changes. Furthermore, changes in the expression of the ACE2, TMPRSS2, CLEC4M and DPP4 genes, observed in TC, also occur in COVID-19. Therefore, it is probable that the interaction of SARS-CoV-2 with thyroid cell receptors may initiate carcinogenesis in this gland. Additionally, some drugs used in TC therapy (e.g., levothyroxine) may increase the affinity of SARS-CoV-2 for cells, which could contribute to a more severe course of COVID-19 and the emergence of long-term symptoms (post-COVID-19). Moreover, the consequences of sanitary restrictions (limited access to medical services, reduction in endocrinological and oncological procedures) that took place in many countries during the COVID-19 pandemic may lead in the future to an increased number of missed diagnoses and the emergence of aggressive cancers.

COVID-19 perceptions, impacts, and experiences: a cross-sectional analysis among New Jersey cancer survivors

BACKGROUND

Cancer survivors are particularly vulnerable to adverse COVID-19-related outcomes, but limited data exist on perceptions about the pandemic and related experiences in this group.

METHODS

In a cross-sectional analysis of 494 survivors of genitourinary, breast, gynecologic, colorectal, lung, melanoma, or thyroid cancer, from a larger study of cancer survivors in New Jersey, we assessed perceptions about COVID-19 threat, impacts, and experiences using three validated instruments. Responses were coded on a 7-point Likert scale, and subscales were averaged across included items, with higher scores indicating greater perceptions of COVID-19 threat and greater impacts and experiences because of the pandemic. Multivariable linear regression models were used to determine factors associated with higher scores, with Bonferroni correction for multiple comparisons.

RESULTS

In general, cancer survivors reported moderate perceived COVID-19 threat (3 items, mean score = 3.71 ± 1.97), minimal COVID-19-related impacts (6 items, mean score = 2.23 ± 1.34), and COVID-19-related experiences (7 items, mean score = 2.17 ± 1.00). COVID-19 impact subscale scores varied little (mean subscale score range = 2.09 to 2.29), while COVID-19 experiences subscale scores were quite variable (mean subscale score range = 1.52 to 3.39). Asian American/Pacific Islander race, Black race, female sex, and having more cardiovascular and metabolic and other comorbidities were associated with higher scores on the perceived coronavirus threat questionnaire. Having completed the COVID-19 questionnaires earlier in the pandemic, younger age, American/Pacific Islander race, Hispanic ethnicity, and having more comorbidities were associated with higher scores on the COVID-19 impact questionnaire. Younger age, racial minority status, and having more cardiovascular and metabolic comorbidities were associated with higher scores on the COVID-19 experience questionnaire.

CONCLUSION

Among cancer survivors in New Jersey-a state that experienced high rates of COVID-19 infection-sociodemographic and health-related factors (e.g., race and ethnicity, sex, and multimorbidity) correlate with greater perceptions of COVID-19 threat, impacts, and experiences.

IMPLICATIONS FOR CANCER SURVIVORS

Studies are needed to examine the influence of vaccination status on COVID-19 perceptions and identify inequities in clinical outcomes due to pandemic-related disruptions to cancer care.

Disparities in COVID-19 mortality amongst the immunosuppressed: A systematic review and meta-analysis for enhanced disease surveillance

BACKGROUND

Effective disease surveillance, including that for COVID-19, is compromised without a standardised method for categorising the immunosuppressed as a clinical risk group.

METHODS

We conducted a systematic review and meta-analysis to evaluate whether excess COVID-associated mortality compared to the immunocompetent could meaningfully subdivide the immunosuppressed. Our study adhered to UK Immunisation against infectious disease (Green Book) criteria for defining and categorising immunosuppression. Using OVID (EMBASE, MEDLINE, Transplant Library, and Global Health), PubMed, and Google Scholar, we examined relevant literature between the entirety of 2020 and 2022. We selected for cohort studies that provided mortality data for immunosuppressed subgroups and immunocompetent comparators. Meta-analyses, grey literature and any original works that failed to provide comparator data or reported all-cause or paediatric outcomes were excluded. Odds Ratios (OR) and 95% confidence intervals (CI) of COVID-19 mortality were meta-analysed by immunosuppressed category and subcategory. Subgroup analyses differentiated estimates by effect measure, country income, study setting, level of adjustment, use of matching and publication year. Study screening, extraction and bias assessment were performed blinded and independently by two researchers; conflicts were resolved with the oversight of a third researcher. PROSPERO registration number is CRD42022360755.

FINDINGS

We identified 99 unique studies, incorporating data from 1,542,097 and 56,248,181 unique immunosuppressed and immunocompetent patients with COVID-19 infection, respectively. Compared to immunocompetent people (pooled OR, 95%CI), solid organ transplants (2.12, 1.50-2.99) and malignancy (2.02, 1.69-2.42) patients had a very high risk of COVID-19 mortality. Patients with rheumatological conditions (1.28, 1.13-1.45) and HIV (1.20, 1.05-1.36) had just slightly higher risks than the immunocompetent baseline. Case type, setting income and mortality data matching and adjustment were significant modifiers of excess immunosuppressed mortality for some immunosuppressed subgroups.

INTERPRETATION

Excess COVID-associated mortality among the immunosuppressed compared to the immunocompetent was seen to vary significantly across subgroups. This novel means of subdivision has prospective benefit for targeting patient triage, shielding and vaccination policies during periods of high disease transmission.

Adding COVID to cancer: does cancer status influence COVID-19 infection preventive behaviors?

Introduction

A better understanding of how to promote disease mitigation and prevention behaviors among vulnerable populations, such as cancer survivors, is needed. This study aimed to determine patterns of and factors associated with COVID-19-related preventive behaviors among cancer survivors and assess whether the COVID-19 preventive behaviors of cancer survivors differ from the general population.

Methods

In June 2020, an online survey of adults (N = 897) assessed predictors of COVID-19-related preventive behaviors, including socio-demographics, COVID-19 beliefs and perceptions (Health Belief Model [HBM] variables), and cancer statuses (cancer survivors currently in treatment, cancer survivors not currently in treatment, and individuals with no history of cancer). An average score of respondent engagement in eight preventive behaviors was calculated. Differences in HBM variables and preventive behaviors by cancer status were assessed using ANCOVAs. Hierarchical multiple regression analyzed associations among socio-demographics, HBM constructs, cancer statuses, and engagement in COVID-19 preventive behaviors.

Results

Participants reported engaging in 3.5 (SD = 0.6) preventive behaviors. Cancer survivors not in treatment engaged in preventive behaviors significantly less than the comparison group. In the final adjusted model, after adding COVID-19 beliefs and perceptions, cancer status was no longer significant. All HBM constructs except perceived susceptibility were significant predictors of preventive behaviors.

Conclusions

COVID-19 beliefs and perceptions were more robust predictors preventive behaviors than cancer status. Nonetheless, public health organizations and practitioners should communicate the risk and severity of infection among cancer survivors and emphasize the need to engage in protective behaviors for COVID-19 and other infectious diseases with this vulnerable population.

The impact of the COVID-19 pandemic on mental health and quality of life in people living with and beyond breast, prostate and colorectal cancer - a qualitative study

BACKGROUND

Individuals living with and beyond cancer are at heightened risk of adverse psychological and social outcomes and experiences. In March 2020, the COVID-19 global pandemic presented a unique set of social circumstances with the potential to exacerbate the challenges faced by this population. The purpose of this study was to investigate the experiences of people living with and beyond cancer during the first year of the COVID-19 pandemic and assess the impact on psychological and social aspects of their lives.

METHODS

From a pool of participants from a larger health behaviours study thirty participants were purposively sampled for characteristics including: diagnostic group (breast, prostate and colorectal cancers), gender, time since diagnosis and age. Semi-structured interviews were conducted via telephone to discuss their experience of living through the pandemic. A thematic analysis was conducted using a needs-based approach to detail the fundamental needs expressed by this population in relation to their mental health and quality of life during the pandemic.

RESULTS

Three fundamental needs underpinned the experiences expressed by participants: the need to feel safe; particularly in relation to risk of contracting COVID-19 and their ongoing cancer monitoring; the need to feel connected; to the people, places, activities and practices of everyday life; and the need to make the most out of life; specifically in context of having already endured cancer and cancer treatment. Participant experiences are described in relation to how they impacted each of these three needs.

CONCLUSIONS

People living with and beyond cancer have past and ongoing experiences that make them vulnerable to adverse psychosocial reactions and outcomes. Support for this population needs to provide greater clarity of risk, clearer guidelines specific to their personal circumstances, and regular updates on scheduling of important follow up care and monitoring.

Health-related quality of life of Adolescent and Young Adult Cancer Survivors before and during the COVID-19 pandemic: longitudinal improvements on social functioning and fatigue

The health-related quality of life (HRQoL) among long-term Adolescent and Young Adult Cancer Survivors (AYACS) and an age- and sex-matched normative population was examined. Although the HRQoL of AYACS was worse compared to the normative population before and during the COVID-19 pandemic, the scores of AYACS improved over time in contrast to the normative population. Presumably, AYACS are used to adjusting their lives to stressful life events. Furthermore, the lockdown may have been beneficial for AYACS who face difficulties fully participating in society due to the impact of cancer. AYACS who encounter HRQoL issues could benefit from support interventions to empower them and build resilience.

Comparing COVID-19 Response Behaviors between a Cancer Patient Sample and a Population-Based Cancer-Free Sample in a Rural Midwestern State

INTRODUCTION

The COVID-19 pandemic caused an increase in fear, anxiety, and depressive symptoms globally. For populations at increased risk for adverse outcomes due to illness, such as cancer patients, these worries may have been exacerbated. Understanding how the pandemic impacted cancer patients will inform better preparation for future events that cause disturbances to cancer care delivery.

METHODS

This study analyzed data from two surveys to determine whether cancer patients' responses differed from a cancer-free population-based sample in terms of concerns, preventive behaviors, and thoughts on their healthcare provider's communication regarding COVID-19 in a US Midwestern state. In August 2020, a survey was sent to 10,009 Iowans aged 18 and older, randomly selected from the 2018 Iowa voter registration file. In September 2020, a survey was emailed to 2,954 cancer patients aged 18 and older who opted into the University of Iowa Holden Comprehensive Cancer Center's Patients Enhancing Research Collaborations at Holden program. Previously validated and pretested Likert-type and multiple-choice items assessed concern regarding COVID-19, social distancing perception and behaviors, and demographic characteristics of respondents. We used χ2 tests and logistic regression to examine differences between the cancer patient and general population survey responses.

RESULTS

We included 3,622 responses from the general population survey and 780 responses from the cancer patient survey in this analysis. Cancer patient survey respondents were more frequently older, lived in urban areas, had Medicare insurance coverage, had a college degree or higher, and were married. Cancer patients were more likely to report engaging in social distancing behaviors and greater concern regarding the pandemic.

CONCLUSION

This study suggests differences in the impact of the COVID-19 pandemic on cancer patients compared to cancer-free members of the general population. These results indicate the need for consideration of cancer patients' physical and mental health during large-scale disruptions to cancer care.

Effects of SARS-CoV-2 infections in patients with cancer on mortality, ICU admission and incidence: a systematic review with meta-analysis involving 709,908 participants and 31,732 cancer patients

BACKGROUND

Cancer patients constitute one of the highest-risk patient groups during the COVID-19 pandemic. In this study, it was aimed to perform a systematic review and meta-analysis to determine both the incidence and ICU (Intensive Care Unit) admission rates and mortality in SARS-CoV-2 infected cancer patients.

METHODS

The PRISMA guidelines were closely followed during the design, analysis, and reporting of this systematic review and meta-analysis. A comprehensive literature search was performed for the published papers in PubMed/Medline, Scopus, medRxiv, Embase, and Web of Science (WoS) databases. SARS-CoV-2 infection pooled incidence in the cancer populations and the risk ratio (RR) of ICU admission rates/mortality in cancer and non-cancer groups, with 95% confidence intervals (CIs), were calculated using the random-effects model.

RESULTS

A total of 58 studies, involving 709,908 participants and 31,732 cancer patients, were included in this study. The incidence in cancer patients was calculated as 8% (95% CI: 8-9%). Analysis results showed that mortality and ICU admission rate was significantly higher in patients with cancer (RR = 2.26, 95% CI: 1.94-2.62, P < 0.001; RR = 1.45, 95% CI: 1.28-1.64, p < 0.001, respectively).

CONCLUSION

As a result, cancer was an important comorbidity and risk factor for all SARS-CoV-2 infected patients. This infection could result in severe and even fatal events in cancer patients. Cancer is associated with a poor prognosis in the COVID-19 pandemic. Cancer patients should be assessed more sensitively in the COVID-19 outbreak.

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.

Factors associated with timely COVID-19 vaccination in a population-based cohort of patients with cancer

BACKGROUND

In many jurisdictions, cancer patients were prioritized for COVID-19 vaccination because of increased risk of infection and death. To understand sociodemographic disparities that affected timely receipt of COVID-19 vaccination among cancer patients, we undertook a population-based study in Ontario, Canada.

METHODS

Patients older than 18 years and diagnosed with cancer January 2010 to September 2020 were identified using administrative data; vaccination administration was captured between approval (December 2020) up to February 2022. Factors associated with time to vaccination were evaluated using multivariable Cox proportional hazards regression.

RESULTS

The cohort consisted of 356 535 patients, the majority of whom had solid tumor cancers (85.9%) and were not on active treatment (74.1%); 86.8% had received at least 2 doses. The rate of vaccination was 25% lower in recent (hazard ratio [HR] = 0.74, 95% confidence interval [CI] = 0.72 to 0.76) and nonrecent immigrants (HR = 0.80, 95% CI = 0.79 to 0.81). A greater proportion of unvaccinated patients were from neighborhoods with a high concentration of new immigrants or self-reported members of racialized groups (26.0% vs 21.3%, standardized difference = 0.111, P < .001), residential instability (27.1% vs 23.0%, standardized difference = 0.094, P < .001), or material deprivation (22.1% vs 16.8%, standardized difference = 0.134, P < .001) and low socioeconomic status (20.9% vs 16.0%, standardized difference = 0.041, P < .001). The rate of vaccination was 20% lower in patients from neighborhoods with the lowest socioeconomic status (HR = 0.82, 95% CI = 0.81 to 0.84) and highest material deprivation (HR = 0.80, 95% CI = 0.78 to 0.81) relative to those in more advantaged neighborhoods.

CONCLUSIONS

Despite funding of vaccines and prioritization of high-risk populations, marginalized patients were less likely to be vaccinated. Differences are likely due to the interplay between systemic barriers to access and cultural or social influences affecting uptake.

Anti-SARS-COV-2 specific immunity in HIV immunological non-responders after mRNA-based COVID-19 vaccination

Individuals infected with the human immunodeficiency virus type 1 (HIV-1) belong to the group of people most vulnerable to SARS-CoV-2 infections and the associated disease COVID-19. Here we describe SARS-CoV-2-specific antibody and cellular immune responses in a small cohort of immunological non-responder HIV-1 patients (HIV-INRs) after receiving the COVID-19 mRNA-based BioNTech/Pfizer vaccine. Compared to the control group of vaccinated healthy individuals that all developed a virus-specific immune response, 5 of 10 vaccinated HIV-1 patients showed insufficient immune responses. The lack of response was not directly correlated with patients CD4 cell counts. Three of the five non-responders that agreed to receive a booster vaccination subsequently generated a virus-specific response. Thus, even HIV-INRs can be efficiently vaccinated against COVID-19 but may require a follow-up by virus-specific immune monitoring to guarantee clinical vaccine benefits.

The Association of Socioeconomic Status, the Concern for Catching Covid-19, and Anxiety Between Individuals with and without a Cancer History from a Cross-sectional Study

Background

COVID-19 has negative impacts on mental health in all populations. Individuals with a history of cancer have an increased risk of catching and having more severe symptoms of COVID-19 than the general public. The objective of this study was to examine how cancer history and concern for catching COVID-19 relate to anxiety.

Methods

This cross-sectional study is part of the "Impact of COVID-19 on Behaviors across the Cancer Control Continuum in Ohio" project conducted from June to November 2020. The sample consisted of 7012 participants who completed survey online, by phone, or by mail. Self-reported concern for catching COVID-19 and anxiety over the last 7 days were used. Linear and logistic regression models were performed to determine the association between demographics, cancer history, concern for catching COVID-19, and anxiety.

Results

In our study sample, most participants rated their concern for catching COVID-19 as moderately high or high (56%) and reported anxiety for one day or more (63%). Individuals with a cancer history were more likely to report moderate-high or high concern for catching COVID-19 (59% vs.54%, P<0.001) but less likely to report anxiety (58% vs. 67%, P<0.001) compared to those without a cancer history. Individuals with higher SES were less likely to report anxiety (middle vs. low SES: OR=0.68, 95%CI=0.59-0.79; high vs. low SES: OR=0.70, 95%CI=0.61-0.82). Additionally, increased concern for catching COVID-19 was associated with higher likelihood of reporting anxiety (moderate-low vs. low: OR=1.65, 95%CI=1.42-1.92; moderate-high vs. low: OR=2.98, 95%CI=2.53-3.50; high vs. low: OR=4.35, 95%CI=3.74-5.07).

Conclusions

Our findings suggest individuals with a cancer history reported higher concern for catching COVID-19. Higher concern for catching COVID was associated with anxiety. These findings indicate that healthcare providers should pay special attention to the different populations to reduce concerns for catching COVID-19 and provide strategies to improve mental health during a pandemic outbreak.

Funding

This study was supported by a supplement to The Ohio State University Comprehensive Cancer Center (OSUCCC) core support grant ( P30 CA016058), and the OSUCCC The Recruitment, Intervention and Survey Shared Resource (RISSR)(P30 CA016058).The Ohio State University Center for Clinical and Translational Science grant support (National Center for Advancing Translational Sciences, Grant UL1TR001070) in publications relating to this project. This work was supported by the National Cancer Institute (F99CA253745 to X.Z.).

Brief Research Report: Anti-SARS-CoV-2 Immunity in Long Lasting Responders to Cancer Immunotherapy Through mRNA-Based COVID-19 Vaccination

Cancer patients (CPs) have been identified as particularly vulnerable to SARS-CoV-2 infection, and therefore are a priority group for receiving COVID-19 vaccination. From the patients with advanced solid tumors, about 20% respond very efficiently to immunotherapy with anti-PD1/PD-L1 antibodies and achieve long lasting cancer responses. It is unclear whether an efficient cancer-specific immune response may also correlate with an efficient response upon COVID-19 vaccination. Here, we explored the antiviral immune response to the mRNA-based COVID-19 vaccine BNT162b2 in a group of 11 long-lasting cancer immunotherapy responders. We analysed the development of SARS-CoV-2-specific IgG serum antibodies, virus neutralizing capacities and T cell responses. Control groups included patients treated with adjuvant cancer immunotherapy (IMT, cohort B), CPs not treated with immunotherapy (no-IMT, cohort C) and healthy controls (cohort A). The median ELISA IgG titers significantly increased after the prime-boost COVID vaccine regimen in all cohorts (Cohort A: pre-vaccine = 900 (100-2700), 3 weeks (w) post-boost = 24300 (2700-72900); Cohort B: pre-vaccine = 300 (100-2700), 3 w post-boost = 8100 (300-72900); Cohort C: pre-vaccine = 500 (100-2700), 3 w post-boost = 24300 (300-72900)). However, at the 3 w post-prime time-point, only the healthy control group showed a statistically significant increase in antibody levels (Cohort A = 8100 (900-8100); Cohort B = 900 (300-8100); Cohort C = 900 (300-8100)) (P < 0.05). Strikingly, while all healthy controls generated high-level antibody responses after the complete prime-boost regimen (Cohort A = 15/15 (100%), not all CPs behaved alike [Cohort B= 12/14 (84'6%); Cohort C= 5/6 (83%)]. Their responses, including those of the long-lasting immunotherapy responders, were more variable (Cohort A: 3 w post-boost (median nAb titers = 95.32 (84.09-96.93), median Spike-specific IFN-γ response = 64 (24-150); Cohort B: 3 w post-boost (median nAb titers = 85.62 (8.22-97.19), median Spike-specific IFN-γ response (28 (1-372); Cohort C: 3 w post-boost (median nAb titers = 95.87 (11.8-97.3), median Spike-specific IFN-γ response = 67 (20-84)). Two long-lasting cancer responders did not respond properly to the prime-boost vaccination and did not generate S-specific IgGs, neutralizing antibodies or virus-specific T cells, although their cancer immune control persisted for years. Thus, although mRNA-based vaccines can induce both antibody and T cell responses in CPs, the immune response to COVID vaccination is independent of the capacity to develop an efficient anti-cancer immune response to anti PD-1/PD-L1 antibodies.

Differences in Outcomes and Factors Associated With Mortality Among Patients With SARS-CoV-2 Infection and Cancer Compared With Those Without Cancer: A Systematic Review and Meta-analysis

Importance

SARS-CoV-2 infection has been associated with more severe disease and death in patients with cancer. However, the implications of certain tumor types, treatments, and the age and sex of patients with cancer for the outcomes of COVID-19 remain unclear.

Objective

To assess the differences in clinical outcomes between patients with cancer and SARS-CoV-2 infection and patients without cancer but with SARS-CoV-2 infection, and to identify patients with cancer at particularly high risk for a poor outcome.

Data Sources

PubMed, Web of Science, and Scopus databases were searched for articles published in English until June 14, 2021. References in these articles were reviewed for additional studies.

Study Selection

All case-control or cohort studies were included that involved 10 or more patients with malignant disease and SARS-CoV-2 infection with or without a control group (defined as patients without cancer but with SARS-CoV-2 infection). Studies were excluded if they involved fewer than 10 patients, were conference papers or abstracts, were preprint reports, had no full text, or had data that could not be obtained from the corresponding author.

Data Extraction and Synthesis

Two investigators independently performed data extraction using the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. Meta-analysis was performed using a random-effects model.

Main Outcomes and Measures

The difference in mortality between patients with cancer and SARS-CoV-2 infection and control patients as well as the difference in outcomes for various tumor types and cancer treatments. Pooled case fatality rates, a random-effects model, and random-effects meta-regressions were used.

Results

A total of 81 studies were included, involving 61 532 patients with cancer. Among 58 849 patients with available data, 30 557 male individuals (52%) were included and median age ranged from 35 to 74 years. The relative risk (RR) of mortality from COVID-19 among patients with vs without cancer when age and sex were matched was 1.69 (95% CI, 1.46-1.95; P < .001; I2 = 51.0%). The RR of mortality in patients with cancer vs control patients was associated with decreasing age (exp [b], 0.96; 95% CI, 0.92-0.99; P = .03). Compared with other cancers, lung cancer (RR, 1.68; 95% CI, 1.45-1.94; P < .001; I2 = 32.9%), and hematologic cancer (RR, 1.42; 95% CI, 1.31-1.54; P < .001; I2 = 6.8%) were associated with a higher risk of death. Although a higher point estimate was found for genitourinary cancer (RR, 1.11; 95% CI, 1.00-1.24; P = .06; I2 = 21.5%), the finding was not statistically significant. Breast cancer (RR, 0.51; 95% CI, 0.36-0.71; P < .001; I2 = 86.2%) and gynecological cancer (RR, 0.76; 95% CI, 0.62-0.93; P = .009; I2 = 0%) were associated with a lower risk of death. Chemotherapy was associated with the highest overall pooled case fatality rate of 30% (95% CI, 25%-36%; I2 = 86.97%; range, 10%-100%), and endocrine therapy was associated with the lowest at 11% (95% CI, 6%-16%; I2 = 70.68%; range, 0%-27%).

Conclusions and Relevance

Results of this study suggest that patients with cancer and SARS-CoV-2 infection had a higher risk of death than patients without cancer. Younger age, lung cancer, and hematologic cancer were also risk factors associated with poor outcomes from COVID-19.

Risk of COVID-19 Infections and of Severe Complications Among Survivors of Childhood, Adolescent, and Young Adult Cancer: A Population-Based Study in Ontario, Canada

PURPOSE

Survivors of childhood, adolescent, and young adult cancer are at risk of late effects, including pulmonary and infectious complications. Whether survivors are at increased risk of COVID-19 infection and severe complications is unknown.

METHODS

Population-based registries in Ontario, Canada, identified all 5-year survivors of childhood cancer diagnosed age 0-17 years between 1985 and 2014, and of six common adolescent and young adult cancers diagnosed age 15-21 years between 1992 and 2012. Each survivor alive on January 1, 2020, was randomly matched by birth year, sex, and residence to 10 cancer-free population controls. Individuals were linked to population-based laboratory and health care databases to identify COVID-19 tests, vaccinations, infections, and severe outcomes (emergency department [ED] visits, hospitalizations, intensive care unit admissions, and death within 60 days). Demographic, disease, and treatment-related variables were examined as possible predictors of outcomes.

RESULTS

Twelve thousand four hundred ten survivors were matched to 124,100 controls. Survivors were not at increased risk of receiving a positive COVID-19 test (386 [3.1%] v 3,946 [3.2%]; P = .68) and were more likely to be fully vaccinated (hazard ratio, 1.23; 95 CI, 1.20 to 1.37). No increase in risk among survivors was seen in emergency department visits (adjusted odds ratio, 1.2; 95 CI, 0.9 to 1.6; P = .19) or hospitalization (adjusted odds ratio, 1.8; 95 CI, 1.0 to 3.5; P = .07). No survivor experienced intensive care unit admission or died after COVID-19 infection. Pulmonary radiation or chemotherapies associated with pulmonary toxicity were not associated with increased risk.

CONCLUSION

Cancer survivors were not at increased risk of COVID-19 infections or severe sequelae. These results can inform risk-counseling of survivors and their caregivers. Further study is warranted to determine risk in older survivors, specific subsets of survivors, and that associated with novel COVID-19 variants.

Universal Screening of Patients with Cancer for COVID-19: Results from an Observational, Retrospective Cohort Study in Kerala, India

Introduction There is high risk of contracting coronavirus disease 2019 (COVID-19) among patients with cancer with risk of mortality and morbidity being high. Limited data is available on the outcomes of universal screening of cancer patients with asymptomatic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection from lower-middle-income countries (LMICs).

Objectives Our goal was to determine the prevalence of asymptomatic SARS-CoV-2 infection in patients with cancer attending the medical oncology department of a tertiary care hospital in Kerala and protect both patients and health care workers before proceeding with the systemic anticancer treatment.

Materials and Methods This was a retrospective cohort study of screening patients receiving systemic anticancer therapy for COVID-19 among hospitalized patients from August 1, 2020, and both outpatients and hospitalized patients from September 1 to November 15, 2020. After clinical triaging, patients were subjected to universal screening with rapid antigen tests and/or reverse transcriptase-polymerase chain reaction (RT-PCR).

Results A total of 1,722 SARS-CoV-2 tests (321 RT-PCR and 1,401 antigen tests) were performed among 1,496 asymptomatic patients before their scheduled chemotherapy/immunotherapy. Eight hundred forty-eight patients were screened more than twice. The patient cohort's median age was 59 years (range 01–92 years); 44.98% of patients were males, and 55.01% were females. 58.77% of patients were on adjuvant or neoadjuvant chemotherapy and 41.22% on chemotherapy for metastatic cancer. The most common malignancy was breast cancer (26.53%), followed by lung (8.35%) and gastrointestinal (16.4%) cancers. The prevalence of asymptomatic infections in our study was 0.86%. Only one patient who had undergone chemotherapy after a negative SARS-CoV-2 test developed confirmed COVID-19 during subsequent testing. From these index cases, none of the other patients, health care workers, or their caretakers contracted COVID-19.

Conclusion The prevalence of asymptomatic COVID-19 infections in our study was low (0.86%). With proper health education, clinical triaging, and screening of the high-risk group, it is possible to continue cancer treatment during the peak of the COVID-19 pandemic, even in LMICs.

Tragic Triad of Tobacco Dependence, Cancer, and COVID-19 Pandemic: An Urgent Call for Attention by Health Care Systems and Professionals

Tobacco smoke is a well-known carcinogen associated with multiple malignancies. Patients with cancer, as well as survivors, who continue to smoke are at a greater risk for poor cancer treatment outcomes. With the emergence of the COVID-19 pandemic, there is increased frequency and severity of the infection in patients with cancer. Furthermore, smoking and/or vaping increases incidence or likelihood of progression of COVID-19. Cigarette smoking, cancer, and COVID-19 each impose disproportionate burden of illness and death among racial and ethnic minorities. Geographic and population-specific analyses reveal that neighborhoods with lower income and higher minority populations have more tobacco/vape shops and face increased risk associated with tobacco marketing. Referral to tobacco cessation has been reduced during the pandemic. To reduce the adverse health effects of tobacco dependence among patients with cancer during the pandemic, urgent evidence-based solutions are described for health systems and professionals to prioritize tobacco cessation for patients with cancer in the midst of the COVID-19 pandemic, on the basis of cessation implementation at City of Hope Medical Center.

OUP accepted manuscript

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.

Mortality in adult patients with solid or hematological malignancies and SARS-CoV-2 infection with a specific focus on lung and breast cancers: A systematic review and meta-analysis

BACKGROUND

A systematic review and meta-analysis was performed to estimate mortality in adult patients with solid or hematological malignancies and SARS-CoV-2 infection.

METHODS

A systematic search of PubMed, up to 31 January 2021, identified publications reporting the case-fatality rate (CFR) among adult patients with solid or hematological malignancies and SARS-CoV-2 infection. The CFR, defined as the rate of death in this population, was assessed with a random effect model; 95% confidence intervals (CI) were calculated.

RESULTS

Among 135 selected studies (N = 33,879 patients), the CFR was 25.4% (95% CI 22.9%-28.2%). At a sensitivity analysis including studies with at least 100 patients, the CFR was 21.9% (95% CI 19.1%-25.1%). Among COVID-19 patients with lung (N = 1,135) and breast (N = 1,296) cancers, CFR were 32.4% (95% CI 26.5%-39.6%) and 14.2% (95% CI 9.3%-21.8%), respectively.

CONCLUSIONS

Patients with solid or hematological malignancies and SARS-CoV-2 infection have a high probability of mortality, with comparatively higher and lower CFRs in patients with lung and breast cancers, respectively.

Rapid real-world data analysis of patients with cancer, with and without COVID-19, across distinct health systems

Background

The understanding of the impact of COVID‐19 in patients with cancer is evolving, with need for rapid analysis.

Aims

This study aims to compare the clinical and demographic characteristics of patients with cancer (with and without COVID‐19) and characterize the clinical outcomes of patients with COVID‐19 and cancer.

Methods and Results

Real‐world data (RWD) from two health systems were used to identify 146 702 adults diagnosed with cancer between 2015 and 2020; 1267 COVID‐19 cases were identified between February 1 and July 30, 2020. Demographic, clinical, and socioeconomic characteristics were extracted. Incidence of all‐cause mortality, hospitalizations, and invasive respiratory support was assessed between February 1 and August 14, 2020. Among patients with cancer, patients with COVID‐19 were more likely to be Non‐Hispanic black (NHB), have active cancer, have comorbidities, and/or live in zip codes with median household income <$30 000. Patients with COVID‐19 living in lower‐income areas and NHB patients were at greatest risk for hospitalization from pneumonia, fluid and electrolyte disorders, cough, respiratory failure, and acute renal failure and were more likely to receive hydroxychloroquine. All‐cause mortality, hospital admission, and invasive respiratory support were more frequent among patients with cancer and COVID‐19. Male sex, increasing age, living in zip codes with median household income <$30 000, history of pulmonary circulation disorders, and recent treatment with immune checkpoint inhibitors or chemotherapy were associated with greater odds of all‐cause mortality in multivariable logistic regression models.

Conclusion

RWD can be rapidly leveraged to understand urgent healthcare challenges. Patients with cancer are more vulnerable to COVID‐19 effects, especially in the setting of active cancer and comorbidities, with additional risk observed in NHB patients and those living in zip codes with median household income <$30 000.