COVID-19 and cancer registries: learning from the first peak of the SARS-CoV-2 pandemic

Impact of the COVID-19 Pandemic on the Diagnosis of Malignant Neoplasia of the Bronchus and Lung in the Burgos Region

PURPOSE

To retrospectively analyze the impact of the COVID-19 pandemic on the diagnosis, mortality rate, and survival period of malignant bronchial and lung neoplasms in the Burgos region, with the aim of promoting the development of strategies to improve cancer care management during health crises, highlighting the importance of non-pharmacological approaches to mitigate the negative impacts of future pandemics on lung cancer patients.

METHODS

This retrospective, longitudinal, single-center study was conducted in Burgos from 2019 to 2021. Participants included all patients diagnosed with malignant bronchial and lung neoplasms by the Pneumology unit of Complejo Asistencial Universitario de Burgos during the year immediately before and the year immediately after 31 March 2020, the official start date of the pandemic. Inclusion criteria encompassed patients diagnosed through histological or clinicoradiological methods, who provided informed consent. Data were systematically gathered using a specific template that included demographic information, disease stage, death, and survival time. Statistical analysis involved descriptive methods, ANOVA, and chi-square tests to assess differences in survival time and associations between categorical variables.

RESULTS

The results reveal a decrease in the number of patients diagnosed during the pandemic period (154 vs. 105), which could indicate delays in detection. However, there were no significant differences between the two periods, in which more than 60% of cases were detected in stage IV, being incompatible with survival. Although fewer patients died during the pandemic than expected (p = 0.015), patients diagnosed after the onset of the pandemic had a shorter survival time (182.43 ± 142.63 vs. 253.61 ± 224.30; p = 0.038). Specifically, those diagnosed in stage I during the pre-pandemic had a much longer survival time (741.50 days) than the rest of the patients (p < 0.05). In addition, among those diagnosed in stage IV, those diagnosed after the beginning of the pandemic had a shorter survival time (157.29 ± 202.36 vs. 241.18 ± 218.36; p = 0.026).

CONCLUSIONS

Understanding these changes can support both medical strategies and non-pharmacological therapies to improve cancer care management during health crises, thus contributing to the optimization of public health.

Real-World Assessment of Recommended COVID-19 Vaccination Waiting Period after Chemotherapy

There is a knowledge gap concerning the proper timing for COVID-19 vaccination in cancer patients undergoing chemotherapy. We aimed to evaluate the suitability of the guidelines that recommend waiting at least three months after undergoing chemotherapy before receiving a COVID-19 vaccine. This retrospective cohort study used aggregated data from the TriNetX US Collaboratory network. Participants were grouped into two groups based on the interval between chemotherapy and vaccination. The primary outcome assessed was infection risks, including COVID-19; skin, intra-abdominal, and urinary tract infections; pneumonia; and sepsis. Secondary measures included healthcare utilization and all causes of mortality. Kaplan-Meier analysis and the Cox proportional hazard model were used to calculate the cumulative incidence and hazard ratio (HR) and 95% confidence intervals for the outcomes. The proportional hazard assumption was tested with the generalized Schoenfeld approach. Four subgroup analyses (cancer type, vaccine brand, sex, age) were conducted. Sensitivity analyses were performed to account for competing risks and explore three distinct time intervals. Patients receiving a vaccine within three months after chemotherapy had a higher risk of COVID-19 infection (HR: 1.428, 95% CI: 1.035-1.970), urinary tract infection (HR: 1.477, 95% CI: 1.083-2.014), and sepsis (HR: 1.854, 95% CI: 1.091-3.152) compared to those who adhered to the recommendations. Hospital inpatient service utilization risk was also significantly elevated for the within three months group (HR: 1.692, 95% CI: 1.354-2.115). Adhering to a three-month post-chemotherapy waiting period reduces infection and healthcare utilization risks for cancer patients receiving a COVID-19 vaccine.

COVID-19 and Comorbidities: What Has Been Unveiled by Metabolomics?

The COVID-19 pandemic has brought about diverse impacts on the global population. Individuals with comorbidities were more susceptible to the severe symptoms caused by the virus. Within the crisis scenario, metabolomics represents a potential area of science capable of providing relevant information for understanding the metabolic pathways associated with the intricate interaction between the viral disease and previous comorbidities. This work aims to provide a comprehensive description of the scientific production pertaining to metabolomics within the specific context of COVID-19 and comorbidities, while highlighting promising areas for exploration by those interested in the subject. In this review, we highlighted the studies of metabolomics that indicated a variety of metabolites associated with comorbidities and COVID-19. Furthermore, we observed that the understanding of the metabolic processes involved between comorbidities and COVID-19 is limited due to the urgent need to report disease outcomes in individuals with comorbidities. The overlap of two or more comorbidities associated with the severity of COVID-19 hinders the comprehension of the significance of each condition. Most identified studies are observational, with a restricted number of patients, due to challenges in sample collection amidst the emergent situation.

The ethics of clinical research in the era of COVID-19

There is an urgent need for increased understanding of COVID-19 and strategies for its prevention, treatment, and mitigation. All participants in the research enterprise, including institutional review boards, have an ethical duty to protect participants and ensure that the benefits gained from such research do not conflict with the core principles that guided researchers prior to the pandemic. In this review, we discuss the ethical issues surrounding initiation and conduct of clinical trials, focusing on novel COVID-19 therapeutic, vaccine, or biospecimen research, using the principles of autonomy, beneficence, and justice. We discuss strategies to manage the practical challenges associated with the conduct of clinical trials, with an emphasis on maintaining the rights and welfare of research participants.

Excess Mortality During 2020 in Spain: The Most Affected Population, Age, and Educational Group by the COVID-19 Pandemic

OBJECTIVE

The objective of this work was to study mortality increase in Spain during the first and second academic semesters of 2020, coinciding with the first 2 waves of the Covid-19 pandemic; by sex, age, and education.

METHODS

An observational study was carried out, using linked populations and deaths' data from 2017 to 2020. The mortality rates from all causes and leading causes other than Covid-19 during each semester of 2020, compared to the 2017-2019 averages for the same semester, was also estimated. Mortality rate ratios (MRR) and differences were used for comparison.

RESULTS

All-cause mortality rates increased in 2020 compared to pre-covid, except among working-age, (25-64 years) highly-educated women. Such increases were larger in lower-educated people between the working age range, in both 2020 semesters, but not at other ages. In the elderly, the MMR in the first semester in women and men were respectively, 1.14, and 1.25 among lower-educated people, and 1.28 and 1.23 among highly-educated people. In the second semester, the MMR were 1.12 in both sexes among lower-educated people and 1.13 in women and 1.16 in men among highly-educated people.

CONCLUSION

Lower-educated people within working age and highly-educated people at older ages showed the greatest increase in all-cause mortality in 2020, compared to the pre-pandemic period.

Clinical Characteristics and Outcomes in Hospitalized Patients with COVID-19 and Cancer History: A Multicenter Cross-Sectional Study in Southwestern Iran

Background: Cancer patients are more exposed to opportunistic infections, such as COVID-19, due to their poor health status. This study aimed to identify the clinical characteristics of cancer and non-cancer patients with COVID-19 that may lead to death, intubation, and ICU admission. Materials and Methods: A Multicenter Cross-Sectional study was conducted on confirmed COVID-19 adult patients with and without a history of cancer from March 2019 to March 2021. Demographic and clinical features, ICU admission, intubation, and discharge status have been extracted from patients' medical records. Chi-square, odds ratio, Mann-Whitney test, and logistic regression were used to analyze the data. Results: The death rate in 1332 cancer patients was 28% compared to the 91464 noncancer patients which was 9% with an odds ratio of 3.94 and p<0.001. ICU admission rates among the cancer group were 43%, while in the noncancer group, it was 17.9% (p<0.001). Moreover, intubation was done for 20.9% of cancer patients and 7.4% of non-cancer patients (p<0.001). However, no significant difference was observed between the two groups in terms of length of stay in the hospital. Multivariable logistic regression analysis showed that age, level of consciousness, SPO2, and autoimmune disorders were associated with mortality in cancer patients with COVID-19. Conclusion: This study showed that older age, loss of consciousness, low oxygen saturation, and suffering from autoimmune disorders were the predictors of death in cancer patients with COVID-19. These results can have important implications for the management and care of cancer patients with COVID-19.

Exploring the Potential Association between COVID-19 and Thyroid Cancer: A Mendelian Randomization Study

In order to address the ongoing debate surrounding the potential link between COVID-19 and thyroid cancer, our study was specifically designed to investigate the association between these two factors. We acquired summary data from a genome-wide association study (GWAS) concerning COVID-19 susceptibility and severity of COVID-19 in the European population, with a focus on their relationship with thyroid cancer. We applied three distinct methodologies to evaluate the causality between COVID-19 and thyroid cancer, employing Mendelian randomization (MR)-Egger, weighted median (WM), and inverse variance-weighted (IVW) approaches. Furthermore, we utilized a variety of techniques to assess pleiotropy and heterogeneity, including the MR-Egger intercept, MR-pleiotropy residual sum and outlier method (PRESSO), and Cochran's Q test. The MR analysis revealed associations between the susceptibility of COVID-19 and thyroid cancer (IVW odds ratio [OR]: 2.826, 95% confidence interval [CI]: [0.842, 9.483], P = 0.093) as well as between the risk of COVID-19 hospitalization and thyroid cancer (IVW OR: 1.630, 95% CI: [1.050, 2.529], P = 0.029). However, the relationship between COVID-19 and the occurrence of severe thyroid cancer cases was less evident (IVW OR: 1.061, 95% CI: [0.575, 1.956], P = 0.850). Our sensitivity analyses did not reveal any signs of horizontal pleiotropy or heterogeneity. Our MR study provided compelling evidence supporting a causal connection between the risk of COVID-19 hospitalization and thyroid cancer. Nevertheless, the MR results derived from genetic data do not support a causal link between susceptibility to COVID-19 and the risk of thyroid cancer or between very severe cases of COVID-19 and the risk of thyroid cancer. These findings have significant implications for further investigations into the impact of COVID-19 on health and the etiology of thyroid cancer.

Outcomes of elective liver surgery worldwide: a global, prospective, multicenter, cross-sectional study

BACKGROUND

The outcomes of liver surgery worldwide remain unknown. The true population-based outcomes are likely different to those vastly reported that reflect the activity of highly specialized academic centers. The aim of this study was to measure the true worldwide practice of liver surgery and associated outcomes by recruiting from centers across the globe. The geographic distribution of liver surgery activity and complexity was also evaluated to further understand variations in outcomes.

METHODS

LiverGroup.org was an international, prospective, multicenter, cross-sectional study following the Global Surgery Collaborative Snapshot Research approach with a 3-month prospective, consecutive patient enrollment within January-December 2019. Each patient was followed up for 90 days postoperatively. All patients undergoing liver surgery at their respective centers were eligible for study inclusion. Basic demographics, patient and operation characteristics were collected. Morbidity was recorded according to the Clavien-Dindo Classification of Surgical Complications. Country-based and hospital-based data were collected, including the Human Development Index (HDI). (NCT03768141).

RESULTS

A total of 2159 patients were included from six continents. Surgery was performed for cancer in 1785 (83%) patients. Of all patients, 912 (42%) experienced a postoperative complication of any severity, while the major complication rate was 16% (341/2159). The overall 90-day mortality rate after liver surgery was 3.8% (82/2,159). The overall failure to rescue rate was 11% (82/ 722) ranging from 5 to 35% among the higher and lower HDI groups, respectively.

CONCLUSIONS

This is the first to our knowledge global surgery study specifically designed and conducted for specialized liver surgery. The authors identified failure to rescue as a significant potentially modifiable factor for mortality after liver surgery, mostly related to lower Human Development Index countries. Members of the LiverGroup.org network could now work together to develop quality improvement collaboratives.

Routine, molecular point-of-care testing for SARS-CoV-2 and other respiratory viruses within an acute oncology service improves patient care

OBJECTIVES

COVID-19 has caused significant challenges for infection prevention measures and patient flow in hospital admission pathways. We aimed to assess the impact of replacing laboratory PCR with molecular point-of-care testing (mPOCT) for respiratory viruses including SARS-CoV-2, within an Acute Oncology Service (AOS).

METHODS

This pre- and post-implementation study took place in the AOS of a large teaching hospital, in Southampton, UK. We collected data from two periods: November 25th, 2019 to November 24th, 2020, when respiratory virus testing utilised laboratory PCR, and December 1st, 2020 to May 31st, 2021 following the introduction of mPOCT. The primary outcome was the time to results.

RESULTS

2189 patients were tested in the pre-implementation period and 1540 in the post implementation period. Median (IQR) time to results was 5.8 h (4.2-10.6) pre-implementation and 1.9 h (1.5-3.0) post-implementation (difference -3.6 h [95%CI to -3.8 to -3.5]; p < 0.0001). Median time spent in assessment areas was 6.0 h (4.1-7.9) pre-implementation and 5.5 h (3.8-7.4) post-implementation (p < 0.0001). 20 (0.9%) patients admitted via AOS assessment unit developed hospital-acquired respiratory virus infection pre-implementation versus 0 (0%) post-implementation (p = 0.031).

CONCLUSIONS

Routine mPOCT for respiratory viruses, including SARS-CoV-2, was associated with a reduced time to results, reduced time in assessment areas, and a reduction in the rates of hospital-acquired respiratory virus infection in an acute oncology assessment unit.

The impact of COVID-19 on clinical outcomes in people undergoing neurosurgery: a systematic review and meta-analysis

BACKGROUND

The coronavirus disease-2019 (COVID-19) pandemic has created a global crisis unique to the healthcare system around the world. It also had a profound impact on the management of neurosurgical patients. In our research, we investigated the effect of the COVID-19 pandemic on clinical outcomes in people undergoing neurosurgery, particularly vascular and oncological neurosurgery.

METHOD

Two investigators independently and systematically searched MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials (CENTRAL), ClinicalTrail.Gov, and Web of Science to identify relevant studies respecting the criteria for inclusion and exclusion published up to June 30, 2022. The outcomes of our research included mortality rate, length of stay, modified Rankin Score, delay in care, Glasgow outcome scale, and major complications. The risk of bias was assessed using the Methodological Index for Non-randomized Studies (MINORS) checklist.

RESULTS

Two investigators independently and systematically searched 1378 results from MEDLINE, EMBASE, Cochrane database, ClinicalTrail.Gov, and Web of Science and extracted the detailed data from 13 studies that met the review's eligibility criteria. Two articles reported on patients with intracerebral hemorrhages, five on patients with subarachnoid hemorrhages, four on patients undergoing surgery for neuro-oncology, and in two studies the patients' conditions were unspecified. A total of 26,831 patients were included in our research. The number who died was significantly increased in the COVID-19 pandemic group (OR 1.52, 95% CI 1.36-1.69, P < 0.001). No significant difference was found between the two groups in terms of length of stay (SMD - 0.88, 95% CI - 0.18-0.02, P = 0.111), but it differed between regions, according to our subgroup analysis.

CONCLUSION

Compared to the pre-pandemic group, the number who died was significantly increased in the COVID-19 pandemic group. Meanwhile, the effect of the pandemic on clinical outcomes in people undergoing neurosurgery might differ in different regions, according to our subgroup analysis.

The Scottish COVID Cancer Immunity Prevalence Study: A Longitudinal Study of SARS-CoV-2 Immune Response in Patients Receiving Anti-Cancer Treatment

BACKGROUND

Cancer and anti-cancer treatment (ACT) may be risk factors for severe SARS-CoV-2 infection and limited vaccine efficacy. Long-term longitudinal studies are needed to evaluate these risks. The Scottish COVID cancer immunity prevalence (SCCAMP) study characterizes the incidence and outcomes of SARS-CoV-2 infection and vaccination in patients with solid tumors undergoing ACT. This preliminary analysis includes 766 patients recruited since May 2020.

METHODS

Patients with solid-organ cancers attending secondary care for active ACT consented to the collection of routine electronic health record data and serial blood samples over 12 months. Blood samples were tested for total SARS-CoV-2 antibody.

RESULTS

A total of 766 participants were recruited between May 28, 2020 and October 31, 2021. Most received cytotoxic chemotherapy (79%). Among the participants, 48 (6.3%) were tested positive for SARS-CoV-2 by PCR. Infection rates were unaffected by ACT, largely aligning with the local population. Mortality proportion was not higher with a recent positive SARS-CoV-2 PCR (10.4% vs 10.6%). Multivariate analysis revealed lower infection rates in vaccinated patients regardless of chemotherapy (HR 0.307 [95% CI, 0.144-0.6548]) or immunotherapy (HR 0.314 [95% CI, 0.041-2.367]) treatment. A total of 96.3% of patients successfully raised SARS-CoV-2 antibodies after >2 vaccines. This was independent of the treatment type.

CONCLUSION

This is the largest on-going longitudinal real-world dataset of patients undergoing ACT during the early stages of the COVID-19 pandemic. This preliminary analysis demonstrates that patients with solid tumors undergoing ACT have high protection from SARS-CoV-2 infection following COVID-19 vaccination. The SCCAMP study will evaluate long-term COVID-19 antibody trends, focusing on specific ACTs and patient subgroups.

Cancer, more than a “COVID-19 co-morbidity”

Patients with cancer represent a particularly vulnerable population at risk of adverse outcomes related to COVID-19. Collectively, the initial studies, including patients with and without cancer, confirmed that patients with cancer had a higher risk of complications and death related to COVID-19. Subsequent studies on patients with COVID-19 and cancer investigated patient and disease-related factors associated with COVID-19 severity and morality. Multiple interconnected factors include demographics, comorbidities, cancer-associated variables, treatment side effects, and other parameters. However, there is a lack of clarity on the contributions of any one factor. In this commentary, we deconvolute the data of specific risk factors associated with worse outcomes due to COVID-19 in cancer patients and focus on understanding the recommended guidelines to mitigate COVID-19 risk in this vulnerable population. In the first section, we highlight the key parameters, including age and race, cancer status, type of malignancy, cancer therapy, smoking status and comorbidities that impact outcomes for cancer patients with COVID-19. Next, we discuss efforts made at the patient, health system, and population levels to mitigate the effects of the ongoing outbreak for patients with cancer, including (1) screening, barrier and isolation strategies (2), Masking/PPE (3), vaccination, and (4) systemic therapies (e.g., evusheld) to prevent disease onset in patients. In the last section, we discuss optimal treatment strategies for COVID-19, including additional therapies for patients with COVID-19 and cancer. Overall, this commentary focuses on articles with high yield and impact on understanding the evolving evidence of risk factors and management guidelines in detail. We also emphasize the ongoing collaboration between clinicians, researchers, health system administrators and policymakers and how its role will be important in optimizing care delivery strategies for patients with cancer. Creative patient-centered solutions will be critical in the coming years, post the pandemic.

Early administration of SARS-CoV-2 monoclonal antibody reduces the risk of mortality in hematologic malignancy and hematopoietic cell transplant patients with COVID-19

BACKGROUND

Data on severe acute respiratory distress syndrome coronavirus 2 monoclonal antibody (SARS-CoV-2-specific mAb) use in hematologic malignancy and hematopoietic cell transplantation (HM/HCT) patients are limited. Here, we describe our experience with the use of casirivimab-imdevimab or bamlanivimab for the treatment of coronavirus disease 2019 (COVID-19) in HM/HCT patients.

METHODS

This was a retrospective chart review at the University of Miami Hospital and Sylvester Comprehensive Cancer Center for HM/HCT patients with COVID-19 who received casirivimab-imdevimab or bamlanivimab from November 21, 2020, to September 30, 2021. Outcomes measured were mortality, hospital admission, and infusion reaction to SARS-CoV-2-specific mAbs.

RESULTS

We identified 59 HM/HCT patients with mild to moderate COVID-19 who received casirivimab-imdevimab or bamlanivimab. Median age was 57 years (interquartile range [IQR]: 45-65). Among the 59 patients, 25 (42%) received cellular therapy: 14 (24%) had undergone allogeneic HCT, nine (15%) autologous HCT, and two (3%) received chimeric antigen receptor T-cell therapy. The median time from COVID-19 symptom onset to SARS-CoV-2-specific mAb administration was 4 (IQR: 3-6) days. Forty-six (78%) patients received SARS-CoV-2-specific mAbs as outpatients and 13 (22%) patients received SARS-CoV-2-specific mAbs during hospitalization. Among patients who received SARS-CoV-2-specific mAbs as outpatients, only four (9%) visited the emergency department at days 10, 11, 15, and 35 after SARS-CoV-2-specific mAb administration. None of these four patients required hospital admission. Among the hospitalized patients, five (38%) were admitted to the hospital with neutropenic fever, four (31%) were already hospitalized for transplantation and cellular therapy, three (23%) were admitted for monitoring of COVID-19 symptoms, and one (8%) was admitted with acute kidney injury. Three hospitalized patients (23%) died at 14, 35, and 59 days after SARS-CoV-2-specific mAb administration; two of these three deaths were attributed to COVID-19 infection. One patient developed an immediate infusion reaction to bamlanivimab, and no infusion reactions were reported to casirivimab-imdevimab use.

CONCLUSION

During the alpha and delta variant surges, early administration of bamlanivimab or casirivimab-imdevimab prevented hospitalization and death when given in the outpatient setting. Among patients who received mAbs at or after hospital admission, the risk of COVID-19 disease progression and death remains significant. Larger studies of the use of mAb therapy to treat COVID-19 in this population are needed.

Incidence of symptomatic Covid-19 infections in patients with mastocytosis and chronic myeloid leukemia: A comparison with the general Austrian population

BACKGROUND

The SARS-COV-2 (Covid-19) pandemic has impacted the management of patients with hematologic disorders. In some entities, an increased risk for Covid-19 infections was reported, whereas others including chronic myeloid leukemia (CML) had a lower mortality. We have analyzed the prevalence of Covid-19 infections in patients with mastocytosis during the Covid-19 pandemic in comparison to data from CML patients and the general Austrian population.

MATERIALS AND METHODS

The prevalence of infections and PCR-proven Covid-19 infections was analyzed in 92 patients with mastocytosis. As controls, we used 113 patients with CML and the expected prevalence of Covid-19 in the general Austrian population.

RESULTS

In 25% of the patients with mastocytosis (23/92) signs and symptoms of infection, including fever (n = 11), dry cough (n = 10), sore throat (n = 12), pneumonia (n = 1), and dyspnea (n = 3) were recorded. Two (8.7%) of these symptomatic patients had a PCR-proven Covid-19 infection. Thus, the prevalence of Covid-19 infections in mastocytosis was 2.2%. The number of comorbidities, subtype of mastocytosis, regular exercise, smoking habits, age, or duration of disease at the time of interview did not differ significantly between patients with and without Covid-19 infections. In the CML cohort, 23.9% (27/113) of patients reported signs and symptoms of infection (fever, n = 8; dry cough, n = 17; sore throat, n = 11; dyspnea, n = 5). Six (22.2%) of the symptomatic patients had a PCR-proven Covid-19 infection. The prevalence of Covid-19 in all CML patients was 5.3%. The observed number of Covid-19 infections neither in mastocytosis nor in CML patients differed significantly from the expected number of Covid-19 infections in the Austrian population.

CONCLUSIONS

Our data show no significant difference in the prevalence of Covid-19 infections among patients with mastocytosis, CML, and the general Austrian population and thus, in mastocytosis, the risk of a Covid-19 infection was not increased compared to the general population.

SARS-CoV-2 infection in patients with melanoma: results of the Spanish Melanoma Group registry

BACKGROUND

The Spanish Melanoma Group (GEM) developed a national registry of patients with melanoma infected by SARS-CoV-2 ("GRAVID").

METHODS

The main objective was to describe the COVID-19 fatality rate in patients with melanoma throughout the pandemic, as well as to explore the effect of melanoma treatment and tumor stage on the risk of COVID-19 complications. These are the final data of the register, including cases from February 2020 to September 2021.

RESULTS

One hundred-fifty cases were registered. Median age was 68 years (range 6-95), 61 (40%) patients were females, and 63 (42%) patients had stage IV. Thirty-nine (26%) were on treatment with immunotherapy, and 17 (11%) with BRAF-MEK inhibitors. COVID-19 was resolved in 119 cases, including 85 (57%) patients cured, 15 (10%) that died due to melanoma, and 20 (13%) that died due to COVID-19. Only age over 60 years, cardiovascular disorders, and diabetes mellitus increased the risk of death due to COVID-19, but not advanced melanoma stage nor melanoma systemic therapies. Three waves have been covered by the register: February-May 2020, August-November 2020, and December 2020-April 2021. The first wave had the highest number of registered cases and COVID-19 mortality.

CONCLUSION

Tumor stage or melanoma treatments are non-significant prognostic factors for COVID-19 mortality. During the pandemic in Spain there was a downward trend in the number of patients registered across the waves, as well as in the severity of the infection.

CLINICALTRIALS

GOV IDENTIFIER

NCT04344002.

A year of experience with COVID-19 in patients with cancer: A nationwide study

BACKGROUND

Cancer is a major public health problem and comorbidity associated with COVID-19 infection. According to previous studies, a higher mortality rate of COVID-19 in cancer patients has been reported.

AIMS

This study was undertaken to determine associated risk factors and epidemiological characteristics of hospitalized COVID-19 patients with cancer using a nationwide COVID-19 hospital data registry in Iran for the first time.

METHODS

In this retrospective study, we used a national data registry of hospitalized patients with Severe Acute Respiratory Syndrome (SARS) symptoms and patients with confirmed positive COVID-19 PCR between 18 February 2020 and 18 November 2020. The patients were classified into two groups patients with/without malignancy. Logistic regression model was utilized to analyze demographic factors, clinical features, comorbidities, and their associations with the disease outcomes.

RESULTS

In this study, 11 068 and 645 186 in-patients with SARS symptoms with and without malignancy were included, respectively. About 1.11% of our RT-PCR-positive patients had cancer. In patients with malignancy and COVID-19, older ages than 60 (OR: 1.88, 95% CI: 1.29-2.74, p-value: .001), male gender (OR: 1.43, 95% CI: 1.16-1.77, p-value: .001), concomitant chronic pulmonary diseases (CPD) (OR: 1.75, 95% CI: 1.14-2.68, p-value: .009), and presence of dyspnea (OR; 2.00, 95% CI: 1.60-2.48, p-value: <.001) were associated with increased mortality rate.

CONCLUSION

Given the immunocompromised state of patients with malignancy and their vulnerability to Covid-19 complications, collecting data on the comorbidities and their effects on the disease outcome can build on a better clinical view and help clinicians make decisions to manage these cases better; for example, determining special clinical care, especially in the shortage of health services.

Impact of high neutrophil-to-lymphocyte ratio on survival in hospitalized cancer patients with COVID-19

Neutrophil-to-lymphocyte ratio (NLR) has been studied as a prognostic factor for mortality in COVID-19 patients. Our study aimed to evaluate the association between NLR at COVID-19 diagnosis and survival during the following 90 days in hospitalized patients with solid cancer. Between May 2020 and June 2021, 120 patients were included in a retrospective cohort study. Univariable analysis showed patients with an NLR > 8.3 were associated with an increased risk of death (HR: 4.34; 95% CI: 1.74-10.84) compared to patients with NLR < 3.82 and with NLR ≥3.82 and ≤8.30 (HR: 2.89; 95% CI: 1.32-6.36). Furthermore, on multivariable analysis, NLR > 8.30 independently correlated with increased mortality. In patients with solid malignancies with COVID-19, an NLR > 8.3 is associated with an increased risk of death.

Impact of COVID-19 on Head and Neck Cancer Advancement Measured by Increasing Numbers of Urgent Dyspnea Cases-What Could Be Improved in the Event of Subsequent Pandemics?

The COVID-19 pandemic has altered all aspects of the healthcare system's organization and impacted patients with head and neck cancer (HNC) who have experienced delayed diagnosis and treatment. The pandemic resulted in the admission of patients with severe dyspnea and a need for tracheotomy due to extremely advanced HNC. This study's objective was to evaluate the clinical characteristics of two multi-center cohorts, "pre-COVID-19" and "COVID-19", of HNC patients admitted as emergencies for dyspnea. The therapeutic activity of HNC patients in four University Departments of Otolaryngology was studied over two time periods: September-February 2019/2020 and 2020/2021. A group of 136 HNC patients who underwent a tracheotomy in two-time cohorts, pre-COVID-19 (N = 59) and COVID-19 (N = 77), was analyzed. The mean tracheotomies incidence proportion was 1.82 (SD: 1.12) for the pre-COVID-19 and 3.79 (SD: 2.76) for COVID-19 period. A rise in the occurrence of emergency dyspnea was observed in the COVID-19 cohort, and the greatest increase was seen in the centers with the highest limitations on planned surgeries. In the pre-COVID-19 period, 66% of patients presented with symptoms for more than a month in comparison to 78% of patients in the COVID-19 period (p = 0.04). There was a higher incidence of laryngeal and laryngopharyngeal cancer in the COVID-19 period (63% vs. 75%, respectively). The number of tracheotomies performed under general anesthesia dropped in favor of local anesthesia during COVID-19 (64% vs. 56%, respectively) due to extremely advanced HNC. In the COVID-19 cohort, most patients received a telemedicine consultation (N = 55, 71%) in comparison to the pre-COVID-19 period (N = 14, 24%). Reorganization of the referral system, adjustment of treatment capacity for an increased number of HNC, and a reserve for more extensive resection and reconstruction surgeries should be made in the profile of otorhinolaryngological departments, ensuring future HNC treatment is not hampered in case of a new pandemic wave.

Auswirkungen der SARS-CoV-2-Pandemie auf die Inanspruchnahme der onkologischen Rehabilitation: eine Difference-in-Differences-Analyse

Ziel der Studie Der durch die SARS-CoV-2-Pandemie eingeschränkte Zugang zur rehabilitativen Versorgung kann die Teilhabe von Menschen mit Krebserkrankungen beeinträchtigen und birgt die Gefahr einer Progression der zugrundeliegenden Erkrankung. Ziel unserer Analysen war es zu beschreiben, in welchem Umfang die Inanspruchnahme onkologischer Rehabilitation pandemiebedingt zurückgegangen ist.

Methodik Wir nutzten monatliche Querschnittsdaten von der Deutschen Rentenversicherung zur Inanspruchnahme onkologischer Rehabilitation (Ca-Reha-Leistung nach § 15 für Versicherte im erwerbsfähigen Alter oder § 31 Abs. 1 Nr. 2 SGB VI für Rentner) in den Jahren 2019 und 2020. Mit einem Difference-in-Differences-Modell schätzten wir die auf die Pandemie zurückzuführende Reduktion der Inanspruchnahme onkologischer Rehabilitation. Als Difference-in-Differences-Schätzer wurde das Incidence Rate Ratio (IRR) berechnet.

Ergebnisse Wir berücksichtigten 146.924 onkologische Rehabilitationen im Jahr 2019 und 113.117 Leistungen im Jahr 2020. Die Inanspruchnahme onkologischer Rehabilitation reduzierte sich pandemiebedingt um 11,5% bei Leistungen nach § 15 SGB VI (IRR=0,885; 95% KI: 0,864 bis 0,906) und um 26,5% bei Leistungen nach § 31 (IRR=0,735; 95% KI: 0,717 bis 0,754). Bei Ca-Reha-Leistungen nach § 31 war der Rückgang in den alten Bundesländern höher als in den neuen Bundesländern und für allgemeine Antragsverfahren deutlich stärker als für Anschlussrehabilitationen.

Schlussfolgerung Die Analysen zeigen einen pandemiebedingten Rückgang onkologischer Rehabilitation vor allem bei onkologischen Rehabilitationsleistungen für Rentner nach § 31. Der Verzicht auf die durch medizinische Rehabilitation erreichbare körperliche und psychische Erholung und Linderung von Krankheits- und Behandlungsnebenwirkungen wird für viele an Krebs erkrankte Personen mit einer Verschärfung von Teilhabeeinschränkungen einhergehen. Ein wiederholtes Monitoring von Arbeitsfähigkeit und Gesundheit chronisch kranker Menschen könnte erforderliche Daten generieren, um zu klären, warum rehabilitationsbedürftige Menschen von der Inanspruchnahme onkologischer Rehabilitation Abstand genommen haben und wie sie unterstützt werden können.

Comprehensive adjusted outcome data are needed to assess the impact of immune checkpoint inhibitors in cancer patients with COVID-19: Results of a systematic review and meta-analysis

BACKGROUND

Determining how prior immune checkpoint inhibitor (ICI) therapy influences outcomes in cancer patients presenting with COVID-19 is essential for patient management but must account for confounding variables.

METHODS

We performed a systematic review and meta-analysis of studies reporting adjusted effects of ICIs on survival, severe events, or hospitalisation in cancer patients with COVID-19 based on variables including age, gender, diabetes mellitus, hypertension (HTN), chronic obstructive pulmonary disease, and other comorbidities. When adjusted effects were unavailable, unadjusted data were analysed.

RESULTS

Of 42 observational studies (38 retrospective), 7 reported adjusted outcomes for ICIs and 2 provided sufficient individual patient data to calculate adjusted outcomes. In eight studies, adjusted outcomes were based on ≤7 variables. Over all studies, only one included >100 ICI patients while 26 included <10. ICIs did not alter the odds ratio (95%CI) (OR) of death significantly (random effects model), across adjusted (n = 8) [1.31 (0.58-2.95) p = 0.46; I2  = 42%, p = 0.10], unadjusted (n = 30) [1.06 (0.85-1.32) p = 0.58; I2  = 0%, p = 0.76] or combined [1.09 (0.88;1.36) p = 0.41; I2  = 0%, p = 0.5)] studies. Similarly, ICIs did not alter severe events significantly across adjusted (n = 5) [1.20 (0.30-4.74) p = 0.73; I2  = 52%, p = 0.08], unadjusted (n = 19) [(1.23 (0.87-1.75) p = 0.23; I2  = 16%, p = 0.26] or combined [1.26 (0.90-1.77) p = 0.16; I2  = 25%, p = 0.14] studies. Two studies provided adjusted hospitalisation data and when combined with 13 unadjusted studies, ICIs did not alter hospitalisation significantly [1.19 (0.85-1.68) p = 029; I2  = 5%, p = 0.40]. Results of sensitivity analyses examining ICI effects based on 5 variables were inconclusive. Certainty of evidence was very low.

CONCLUSIONS

Across studies with adjusted and unadjusted results, ICIs did not alter outcomes significantly. But studies with comprehensive adjusted outcome data controlling for confounding variables are necessary to determine whether ICIs impact COVID-19 outcomes in cancer patients.

SARS-CoV-2 and cancer: the intriguing and informative cross-talk

The COVID-19 pandemic caused by the SARS-CoV-2 virus has significantly disrupted and burdened the diagnostic workup and delivery of care, including transfusion, to cancer patients across the globe. Furthermore, cancer patients suffering from solid tumors or hematologic malignancies were more prone to the infection and had higher morbidity and mortality than the rest of the population. Major signaling pathways have been identified at the intersection of SARS-CoV-2 and cancer cells, often leading to tumor progression or alteration of the tumor response to therapy. The reactivation of oncogenic viruses has also been alluded to in the context and following COVID-19. Paradoxically, certain tumors responded better following the profound infection-induced immune modulation. Unveiling the mechanisms of the virus-tumor cell interactions will lead to a better understanding of the pathophysiology of both cancer progression and virus propagation. It would be challenging to monitor, through the different cancer registries, retrospectively, the response of patients who have been previously exposed to the virus in contrast to those who have not contracted the infection.

Alarming Drop in Early Stage Colorectal Cancer Diagnoses After COVID-19 Outbreak: A Real-World Analysis from the Italian COVID-DELAY Study

BACKGROUND

Coronavirus disease 2019 (COVID-19) has triggered the disruption of health care on a global scale. With Italy tangled up in the pandemic response, oncology care has been largely diverted and cancer screenings suspended. Our multicenter Italian study aimed to evaluate whether COVID-19 has impacted access to diagnosis, staging, and treatment for patients newly diagnosed with colorectal cancer (CRC), compared with pre-pandemic time.

METHODS

All consecutive new CRC patients referred to 8 Italian oncology institutions between March and December 2020 were included. Access rate and temporal intervals between date of symptoms onset, radiological and cytohistological diagnosis, treatment start and first radiological evaluation were analyzed and compared with the same months of 2019.

RESULTS

A reduction (29%) in newly diagnosed CRC cases was seen when compared with 2019 (360 vs 506). New CRC patients in 2020 were less likely to be diagnosed with early stage (stages I-II-III) CRC (63% vs 78%, P < .01). Gender and sidedness were similar regardless of the year. The percentage of tumors with any mutation among BRAF, NRAS, and KRAS genes were significantly different between the 2 years (61% in 2020 vs 50% in 2019, P = .04). Timing of access to cancer diagnosis, staging, and treatment for patients with CRC has not been negatively affected by the pandemic. Significantly shorter temporal intervals were observed between symptom onset and first oncological appointment (69 vs 79 days, P = .01) and between histological diagnosis and first oncological appointment (34 vs 42 days, P < .01) during 2020 compared with 2019. Fewer CRC cases were discussed in multidisciplinary meetings during 2020 (38% vs 50%, P = .01).

CONCLUSIONS

Our data highlight a significant drop in CRC diagnosis after COVID-19, especially for early stage disease. The study also reveals a remarkable setback in the multidisciplinary management of patients with CRC. Despite this, Italian oncologists were able to ensure diagnostic-therapeutic pathways proper operation after March 2020.

COVID-19 in patients with cancer: first report of the ESMO international, registry-based, cohort study (ESMO-CoCARE)

BACKGROUND

ESMO COVID-19 and CAncer REgistry (ESMO-CoCARE) is an international collaborative registry-based, cohort study gathering real-world data from Europe, Asia/Oceania and Africa on the natural history, management and outcomes of patients with cancer infected with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2).

PATIENTS AND METHODS

ESMO-CoCARE captures information on patients with solid/haematological malignancies, diagnosed with coronavirus disease 2019 (COVID-19). Data collected since June 2020 include demographics, comorbidities, laboratory measurements, cancer characteristics, COVID-19 clinical features, management and outcome. Parameters influencing COVID-19 severity/recovery were investigated as well as factors associated with overall survival (OS) upon SARS-CoV-2 infection.

RESULTS

This analysis includes 1626 patients from 20 countries (87% from 24 European, 7% from 5 North African, 6% from 8 Asian/Oceanian centres), with COVID-19 diagnosis from January 2020 to May 2021. Median age was 64 years, with 52% of female, 57% of cancer stage III/IV and 65% receiving active cancer treatment. Nearly 64% patients required hospitalization due to COVID-19 diagnosis, with 11% receiving intensive care. In multivariable analysis, male sex, older age, Eastern Cooperative Oncology Group (ECOG) performance status ≥2, body mass index (BMI) <25 kg/m2, presence of comorbidities, symptomatic disease, as well as haematological malignancies, active/progressive cancer, neutrophil-to-lymphocyte ratio (NLR) ≥6 and OnCovid Inflammatory Score ≤40 were associated with COVID-19 severity (i.e. severe/moderate disease requiring hospitalization). About 98% of patients with mild COVID-19 recovered, as opposed to 71% with severe/moderate disease. Advanced cancer stage was an additional adverse prognostic factor for recovery. At data cut-off, and with median follow-up of 3 months, the COVID-19-related death rate was 24.5% (297/1212), with 380 deaths recorded in total. Almost all factors associated with COVID-19 severity, except for BMI and NLR, were also predictive of inferior OS, along with smoking and non-Asian ethnicity.

CONCLUSIONS

Selected patient and cancer characteristics related to sex, ethnicity, poor fitness, comorbidities, inflammation and active malignancy predict for severe/moderate disease and adverse outcomes from COVID-19 in patients with cancer.

Oncology During the COVID-19 Pandemic: a Lockdown Perspective

Purpose for Review

This perspective piece aims to understand the impacts of the COVID-19 pandemic on the field of oncology, exploring the factors provoking a fall in cancer diagnostic rates, interruption of cancer screening programmes, disruption of oncological treatment and adjuvant care, and the necessary adaption oncological practice has undergone (and will be required to undergo) post-pandemic, including the shift to digital consultations.

Recent Findings

During the COVID-19 pandemic, the field of oncological research has faced significant challenges. Yet, innovation has prevailed with new developments being made across the globe. Looking to the future of oncology, this piece will also suggest potential solutions to overcome the late-stage ramifications of the COVID-19 pandemic.

Summary

The COVID-19 pandemic has triggered a global health crisis, the ramifications of which have reached every corner of the world and overwhelmed already overburdened healthcare systems. However, we are still yet to see the full domino effect of the pandemic as it continues to reveal and exacerbate pre-existing weaknesses in healthcare systems across the world.

One-year COVID-19 outcomes on the oncology care patient pathway: Results of a French descriptive, cross-sectional comprehensive study (ONCOCARE-COV)

BACKGROUND

The COVID-19 pandemic led to a widely documented disruption in cancer care pathway. Since a resurgence of the pandemic was expected after the first lockdown in France, the global impact on the cancer care pathway over the year 2020 was investigated.

AIMS

This study aimed to describe the changes in the oncology care pathway for cancer screening, diagnosis, assessment, diagnosis annoucement procedure and treatment over a one-year period.

MATERIALS & METHODS

The ONCOCARE-COV study was a comprehensive, retrospective, descriptive, and cross-sectional study comparing the years 2019 and 2020. All key indicators along the cancer care pathway assessing the oncological activity over four periods were described. This study was set in a high-volume, public, single tertiary care center divided in two complementary sites (Reims University Hospital and Godinot Cancer Institute, Reims, France) which was located in a high COVID-19 incidence area during both peaks of the outbreak.

RESULTS

A total of 26,566 patient's files were active during the year 2020. Breast screening (-19.5%), announcement dedicated consultations (-9.2%), Intravenous and Hyperthermic Intraoperative Intraperitoneal Chemotherapy (HIPECs) (-25%), and oncogeriatric evaluations (-14.8%) were heavily disrupted in regard to 2020 activity. We identified a clear second outbreak wave impact on medical announcement procedures (October, -14.4%), radiotherapy sessions (October, -16%), number of new health record discussed in multidisciplinary tumor board meeting (November, -14.6%) and HIPECs (November, -100%). Moreover, 2020 cancer care activity stagnated compared to 2019.

DISCUSSION

The oncological care pathway was heavily disrupted during the first and second peaks of the COVID-19 outbreak. Between lockdowns, we observed a remarkable but non-compensatory recovery as well as a lesser impact from the pandemic resurgence. However, in absence of an increase in activity, a backlog persisted.

CONCLUSION

Public health efforts are needed to deal with the consequences of the COVID-19 pandemic on the oncology care pathway.

COVID-19 associated coagulopathy and thrombosis in cancer

Cancer patients are at risk for a more severe COVID-19 infection as well as an adverse outcome of such infection. This may be caused by the cancer itself (e.g haematological malignancies and lung cancer) or due to immune suppression caused by anti-cancer treatment. Severe COVID-19 infections are often complicated by a coagulopathy that clinically results in a high incidence of venous thromboembolic disease. Cancer itself is associated with a hypercoagulable state and a markedly increased incidence of thromboembolic complications, hence the combination of cancer and COVID-19 may amplify this risk. COVID-19 vaccination seems safe and effective in most cancer patients although adapted and bespoke vaccination schemes may increase the seroconversion rate and immune response in selected patients. Specific management strategies to improve outcomes of cancer patients in COVID-19 (e.g. higher intensity antithrombotic prophylaxis) are lacking and should be evaluated in clinical studies simultaneously focusing on efficacy and safety.

Safety and Feasibility of Lung Cancer Surgery under the COVID-19 Circumstance

Simple Summary

The global coronavirus disease 2019 (COVID-19) pandemic has drastically changed the current practice of medicine worldwide. As more clinical data is collected and processed, we are beginning to have an understanding of which patients are more at risk for severe complications of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. Preliminary data has shown that patients with lung cancer are disproportionally affected by the current COVID-19 pandemic. Furthermore, studies have shown that lung cancer patients are also significantly more likely to be admitted to the ICU and need mechanical ventilation. A specific subset of patients that are even more at risk for severe COVID-19 are those that require lung cancer surgery. To minimize the risk of SARS-CoV-2 infections in patients undergoing surgery, new treatment guidelines and preventive measures are necessary. In this review, we summarize the latest evidence regarding recommendations for patients undergoing lung cancer surgery in the COVID-19 era.

Abstract

The current coronavirus disease 2019 (COVID-19) pandemic has forced healthcare providers worldwide to adapt their practices. Our understanding of the effects of COVID-19 has increased exponentially since the beginning of the pandemic. Data from large-scale, international registries has provided more insight regarding risk factors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and has allowed us to delineate specific subgroups of patients that have higher risks for severe complications. One particular subset of patients that have significantly higher risks of SARS-CoV-2 infection with higher morbidity and mortality rates are those that require surgical treatment for lung cancer. Earlier studies have shown that COVID-19 infections in patients that underwent lung cancer surgery is associated with higher rates of respiratory failure and mortality. However, deferral of cancer treatments is associated with increased mortality as well. This creates difficult situations in which healthcare providers are forced to weigh the benefits of surgical treatment against the possibility of SARS-CoV-2 infections. A number of oncological and surgical organizations have proposed treatment guidelines and recommendations for patients planned for lung cancer surgery. In this review, we summarize the latest data and recommendations for patients undergoing lung cancer surgery in the COVID-19 circumstance.

An observational study of hospitalized COVID-19 patients with cancer in San Diego county

Aim: To delineate clinical correlates of COVID-19 infection severity in hospitalized patients with malignancy. Methods: The authors conducted a retrospective review of all hospitalized patients with a hematologic and/or solid tumor malignancy presenting to the authors' institution between 1 March 2020 and 5 January 2021, with a laboratory confirmed diagnosis of COVID-19. Univariate and multivariate logistic regression analyses were used to determine associations between specific severity outcomes and clinical characteristics. Results: Among 2771 hospitalized patients with COVID-19, 246 (8.88%) met inclusion criteria. Patients who were actively receiving treatment had an increased rate of death following admission (odds ratio [OR]: 2.7). After adjusting for significant covariates, the odds ratio increased to 4.4. Patients with cancer involvement of the lungs had a trend toward increased odds of death after adjusting for covariates (OR: 2.3). Conclusions: Among COVID-19 positive hospitalized cancer patients, systemic anti-cancer therapy was associated with significantly increased odds of mortality.

A definitive prognostication system for patients with thoracic malignancies diagnosed with COVID-19: an update from the TERAVOLT registry

INTRODUCTION

Patients with thoracic malignancies are at increased risk for mortality from coronavirus disease 2019 (COVID-19), and a large number of intertwined prognostic variables have been identified so far.

METHODS

Capitalizing data from the Thoracic Cancers International COVID-19 Collaboration (TERAVOLT) registry, a global study created with the aim of describing the impact of COVID-19 in patients with thoracic malignancies, we used a clustering approach, a fast-backward step-down selection procedure, and a tree-based model to screen and optimize a broad panel of demographics and clinical COVID-19 and cancer characteristics.

RESULTS

As of April 15, 2021, a total of 1491 consecutive eligible patients from 18 countries were included in the analysis. With a mean observation period of 42 days, 361 events were reported with an all-cause case fatality rate of 24.2%. The clustering procedure screened 73 covariates in 13 clusters. A further multivariable logistic regression for the association between clusters and death was performed, resulting in five clusters significantly associated with the outcome. The fast-backward step-down selection procedure then identified the following seven major determinants of death: Eastern Cooperative Oncology Group-performance status (ECOG-PS) (OR = 2.47, 1.87-3.26), neutrophil count (OR = 2.46, 1.76-3.44), serum procalcitonin (OR = 2.37, 1.64-3.43), development of pneumonia (OR = 1.95, 1.48-2.58), C-reactive protein (OR = 1.90, 1.43-2.51), tumor stage at COVID-19 diagnosis (OR = 1.97, 1.46-2.66), and age (OR = 1.71, 1.29-2.26). The receiver operating characteristic analysis for death of the selected model confirmed its diagnostic ability (area under the receiver operating curve = 0.78, 95% confidence interval: 0.75-0.81). The nomogram was able to classify the COVID-19 mortality in an interval ranging from 8% to 90%, and the tree-based model recognized ECOG-PS, neutrophil count, and c-reactive protein as the major determinants of prognosis.

CONCLUSIONS

From 73 variables analyzed, seven major determinants of death have been identified. Poor ECOG-PS was found to have the strongest association with poor outcome from COVID-19. With our analysis, we provide clinicians with a definitive prognostication system to help determine the risk of mortality for patients with thoracic malignancies and COVID-19.

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.

Systemic Anti-Cancer Therapy and Metastatic Cancer Are Independent Mortality Risk Factors during Two UK Waves of the COVID-19 Pandemic at University College London Hospital

An increased mortality risk was observed in patients with cancer during the first wave of COVID-19. Here, we describe determinants of mortality in patients with solid cancer comparing the first and second waves of COVID-19. A retrospective analysis encompassing two waves of COVID-19 (March-May 2020; December 2020-February 2021) was performed. 207 patients with cancer were matched to 452 patients without cancer. Patient demographics and oncological variables such as cancer subtype, staging and anti-cancer treatment were evaluated for association with COVID-19 mortality. Overall mortality was lower in wave two compared to wave one, HR 0.41 (95% CI: 0.30-0.56). In patients with cancer, mortality was 43.6% in wave one and 15.9% in wave two. In hospitalized patients, after adjusting for age, ethnicity and co-morbidities, a history of cancer was associated with increased mortality in wave one but not wave two. In summary, the second UK wave of COVID-19 is associated with lower mortality in hospitalized patients. A history of solid cancer was not associated with increased mortality despite the dominance of the more transmissible B.1.1.7 SARS-CoV-2 variant. In both waves, metastatic disease and systemic anti-cancer treatment appeared to be independent risk factors for death within the combined cancer cohort.

The Impact of the COVID-19 Pandemic on Oncology Care and Clinical Trials

Simple Summary

The coronavirus pandemic has had a considerable impact on all parts of society. Unsurprisingly, healthcare has been particularly affected, including cancer care and trials of new drugs. This article will summarize the impact the pandemic has had on cancer healthcare taking into consideration how the pandemic affected potential cancer patients and stopped them seeking medical advice for new symptoms. The pandemic also affected the ability of people to access healthcare services and undergo the tests necessary to diagnose cancer. This article will also discuss the impact of the pandemic on existing treatments and the trials of new drugs. In light of the unprecedented speed of development of new treatments and vaccines for the virus itself, it will also review whether some of these adaptations could be used to accelerate the development of novel cancer therapies.

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has caused considerable global disruption to clinical practice. This article will review the impact that the pandemic has had on oncology clinical trials. It will assess the effect of the COVID-19 situation on the initial presentation and investigation of patients with suspected cancer. It will also review the impact of the pandemic on the subsequent management of cancer patients, and how clinical trial approval, recruitment, and conduct were affected during the pandemic. An intriguing aspect of the pandemic is that clinical trials investigating treatments for COVID-19 and vaccinations against the causative virus, SARS-CoV-2, have been approved and conducted at an unprecedented speed. In light of this, this review will also discuss the potential that this enhanced regulatory environment could have on the running of oncology clinical trials in the future.

Life-prolonging treatment restrictions and outcomes in patients with cancer and COVID-19: an update from the Dutch Oncology COVID-19 Consortium

Aim of the study

The coronavirus disease 2019 (COVID-19) pandemic significantly impacted cancer care. In this study, clinical patient characteristics related to COVID-19 outcomes and advanced care planning, in terms of non-oncological treatment restrictions (e.g. do-not-resuscitate codes), were studied in patients with cancer and COVID-19.

Methods

The Dutch Oncology COVID-19 Consortium registry was launched in March 2020 in 45 hospitals in the Netherlands, primarily to identify risk factors of a severe COVID-19 outcome in patients with cancer. Here, an updated analysis of the registry was performed, and treatment restrictions (e.g. do-not-intubate codes) were studied in relation to COVID-19 outcomes in patients with cancer. Oncological treatment restrictions were not taken into account.

Results

Between 27th March 2020 and 4th February 2021, 1360 patients with cancer and COVID-19 were registered. Follow-up data of 830 patients could be validated for this analysis. Overall, 230 of 830 (27.7%) patients died of COVID-19, and 60% of the remaining 600 patients with resolved COVID-19 were admitted to the hospital. Patients with haematological malignancies or lung cancer had a higher risk of a fatal outcome than other solid tumours. No correlation between anticancer therapies and the risk of a fatal COVID-19 outcome was found. In terms of end-of-life communication, 50% of all patients had restrictions regarding life-prolonging treatment (e.g. do-not-intubate codes). Most identified patients with treatment restrictions had risk factors associated with fatal COVID-19 outcome.

Conclusion

There was no evidence of a negative impact of anticancer therapies on COVID-19 outcomes. Timely end-of-life communication as part of advanced care planning could save patients from prolonged suffering and decrease burden in intensive care units. Early discussion of treatment restrictions should therefore be part of routine oncological care, especially during the COVID-19 pandemic.

ACE2, the Counter-Regulatory Renin-Angiotensin System Axis and COVID-19 Severity

Angiotensin (ANG)-converting enzyme (ACE2) is an entry receptor of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes coronavirus disease 2019 (COVID-19). ACE2 also contributes to a deviation of the lung renin-angiotensin system (RAS) towards its counter-regulatory axis, thus transforming harmful ANG II to protective ANG (1-7). Based on this purported ACE2 double function, it has been put forward that the benefit from ACE2 upregulation with renin-angiotensin-aldosterone system inhibitors (RAASi) counterbalances COVID-19 risks due to counter-regulatory RAS axis amplification. In this manuscript we discuss the relationship between ACE2 expression and function in the lungs and other organs and COVID-19 severity. Recent data suggested that the involvement of ACE2 in the lung counter-regulatory RAS axis is limited. In this setting, an augmentation of ACE2 expression and/or a dissociation of ACE2 from the ANG (1-7)/Mas pathways that leaves unopposed the ACE2 function, the SARS-CoV-2 entry receptor, predisposes to more severe disease and it appears to often occur in the relevant risk factors. Further, the effect of RAASi on ACE2 expression and on COVID-19 severity and the overall clinical implications are discussed.

Safeguarding COVID-19 and cancer management: drug design and therapeutic approach

Recent clinical cohort studies have highlighted that there is a three-fold greater SARS-Cov-2 infection risk in cancer patients, and overall mortality in individuals with tumours is increased by 41% with respect to general COVID-19 patients. Thus, access to therapeutics and intensive care is compromised for people with both diseases (comorbidity) and there is risk of delayed access to diagnosis. This comorbidity has resulted in extensive burden on the treatment of patients and health care system across the globe; moreover, mortality of hospitalized patients with comorbidity is reported to be 30% higher than for individuals affected by either disease. In this data-driven review, we aim specifically to address drug discoveries and clinical data of cancer management during the COVID-19 pandemic. The review will extensively address the treatment of COVID-19/cancer comorbidity; treatment protocols and new drug discoveries, including the description of drugs currently available in clinical settings; demographic features; and COVID-19 outcomes in cancer patients worldwide.

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.

Emerging issues related to COVID-19 vaccination in patients with cancer

Coronavirus disease 2019 (COVID-19) has resulted in millions of deaths globally. The pandemic has had a severe impact on oncology care and research. Patients with underlying cancer are more vulnerable to contracting COVID-19, and also have a more severe clinical course following the infection. The rollout of COVID-19 vaccines in many parts of the world has raised hopes of controlling the pandemic. In this editorial, the authors outline key characteristics of the currently approved COVID-19 vaccines, provide a brief overview of key emerging issues such as vaccine-induced immune thrombotic thrombocytopenia and SARS-CoV-2 variants of concern, and review the available data related to the efficacy and side effects of vaccinating patients with cancer.

Rintatolimod Induces Antiviral Activities in Human Pancreatic Cancer Cells: Opening for an Anti-COVID-19 Opportunity in Cancer Patients?

Simple Summary

Specific treatment for COVID-19 infections in cancer patients is lacking while the demand for treatment is increasing. Therefore, we explored the effect of Rintatolimod, a Toll-like receptor 3 (TLR3) agonist, on human epithelial cancerous cells. Our results demonstrated that Rintatolimod stimulated an anti-viral effect by producing RNase L that blocks virus replication. Moreover, Rintatolimod activated the innate and the adaptive immune systems by activating a cascade of actions in human cancerous cells. We believe that Rintatolimod should be considered in the treatment regimens of cancer patients who suffer from SARS-CoV-2 infection.

Abstract

Severe acute respiratory virus-2 (SARS-CoV-2) has spread globally leading to a devastating loss of life. Large registry studies have begun to shed light on the epidemiological and clinical vulnerabilities of cancer patients who succumb to or endure poor outcomes of SARS-CoV-2. Specific treatment for COVID-19 infections in cancer patients is lacking while the demand for treatment is increasing. Therefore, we explored the effect of Rintatolimod (Ampligen^®) (AIM ImmunoTech, Ocala, FL, USA), a Toll-like receptor 3 (TLR3) agonist, to treat uninfected human pancreatic cancer cells (HPACs). The direct effect of Rintatolimod was measured by targeted gene expression profiling and by proteomics measurements. Our results show that Rintatolimod induces an antiviral effect in HPACs by inducing RNase-L-dependent and independent pathways of the innate immune system. Treatment with Rintatolimod activated the interferon signaling pathway, leading to the overexpression of several cytokines and chemokines in epithelial cells. Furthermore, Rintatolimod treatment increased the expression of angiogenesis-related genes without promoting fibrosis, which is the main cause of death in patients with COVID-19. We conclude that Rintatolimod could be considered an early additional treatment option for cancer patients who are infected with SARS-CoV-2 to prevent the complicated severity of the disease.