COVID-19 prevalence and mortality in patients with cancer and the effect of primary tumour subtype and patient demographics: a prospective cohort study

Wearing a surgical mask during chemotherapy session is safe

Surgical masks(SM) have become essential to our daily lives with the COVID-19 pandemic. It is recommended as the cheapest, most effective preventive method. The effects of SM on patients receiving chemotherapy are unknown. Our study aimed to investigate the effects of SM on oxygenation and CO2 retention in cancer patients receiving chemotherapy and to examine its possible clinical consequences. Patients diagnosed with cancer and receiving chemotherapy were included in the study. Venous blood gas, SO2 by pulse oximeter, and vital signs were recorded before and after treatment. Acute toxicities encountered during treatment were recorded. One hundred twenty-six patients with a median age of 60 (33-85) were evaluated in the study. The comparison of pre-post treatment parameters showed statistically significant changes in Ph (7.37 vs. 7.35, p < 0.01), pCO2 (44.2 vs. 45.8, p = 0.049), HCO3 (25.7 vs. 25.3, p = 0.003), SpO2 (97.0 vs. 96.0, p = 0.08), fever (36.4 vs. 36.3, p = 0.023). All the changes were clinically insignificant and in normal ranges. Chemotherapy-related acute toxicity was noted in 4 (3.2%) of the patients. Lung morbidity, cancer type, lung metastasis status, treatment applied, duration of therapy, and acute toxicity do not affect the current parameters. In our study, it was shown that constantly wearing a SM in patients receiving chemotherapy caused CO2 retention and a tendency to hypoxemia. However, the current changes were clinically insignificant and within the normal range. Surgical masks can be used safely in cancer patients receiving systemic treatment.

Prevalence and risk factors for long COVID among cancer patients: a systematic review and meta-analysis

Objective

The prevalence of long COVID among cancer patients remains unknown. This study aimed to determine the prevalence of long COVID and explore potential risk factors among cancer patients.

Methods

A systematic search was performed on PubMed, Web of Science, and Embase from database inception until 21 March 2024, to identify studies that reported long COVID in cancer patients. Two investigators independently screened the studies and extracted all information about long COVID in cancer patients for subsequent analysis. Methodological quality was assessed using the "Joannagen Briggs Institute (JBI) Critical Appraisal Checklist for Studies Reporting Prevalence Data".

Results

A total of 13 studies involving 6,653 patients were included. The pooled prevalence of long COVID was 23.52% [95% confidence interval (CI), 12.14% to 40.64%] among cancer patients reported experiencing long COVID after acute severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The pooled prevalence of any long COVID in cancer patients was 20.51% (95% CI, 15.91% to 26.03%), 15.79% (95% CI, 11.39% to 21.47%), and 12.54% (95% CI, 6.38% to 23.18%) in 3, 6, and 12 months follow-up duration. Fatigue was the most common symptom, followed by respiratory symptoms, myalgia, and sleep disturbance. Patients with comorbidities had a significantly higher risk of experiencing long COVID [odds ratio (OR) = 1.72; 95% CI, 1.09 to 2.70; p = 0.019]. No statistically significant differences in sex, primary tumor, or tumor stage were detected.

Conclusion

Nearly a quarter of cancer patients will experience long COVID after surviving from SARS-CoV-2 infection, and this would even last for 1 year or longer. Fatigue, respiratory symptoms, myalgia, and sleep disturbance need to be more addressed and managed to reduce symptom burden on cancer patients and improve quality of life. Patients with comorbidities are at a high risk of developing long COVID. Further randomized controlled trials with rigorous methodological designs and large sample sizes are needed for future validation.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42023456665.

Prognostic risk factors of pneumonia associated with COVID-19 in patients with lymphoma

Objective

Patients with hematological malignancies have an elevated risk of developing pneumonia after contracting COVID-19. Lymphoma is the most prevalent hematologic malignancy. It is critical to identify patients at high risk of contracting COVID-19-associated pneumonia.

Methods

From January 11-31, 2023, we distributed questionnaires to patients diagnosed with lymphoma according to 2016 World Health Organization diagnostic and classification criteria. COVID-19 infection was confirmed based on symptoms and laboratory tests. Pneumonia was confirmed using computed tomography scans.

Results

In total, 257 patients were included in this study; 221 patients (86.0%) had COVID-19 infection and 61 (27.6%) of these had pneumonia. Patients with B-cell non-Hodgkin lymphoma (B-NHL) had a significantly higher pneumonia incidence than patients with other lymphoma types (31.8% vs. 27.6%, P=0.005). Higher incidence of pneumonia was observed in patients receiving anti-CD20 therapy (30.0% vs. 16.3%, P=0.048) and Bruton's tyrosine kinase (BTK) inhibitor therapy (51.3% vs. 22.5%, P=0.001). B-NHL (hazard ratio [HR]=3.7, 95% confidence interval [CI] 1.4-10.0, P=0.009), anti-CD20 therapy (HR=2.3, 95% CI 1.0-5.2, P=0.050), BTK inhibitor (HR=3.6, 95% CI 1.8-7.4, P<0.001), active therapy (HR=3.0, 95% CI 1.5-5.7, P=0.001), and lack of disease remission (HR=3.7, 95% CI 1.8-7.4, P=0.001) were high-risk factors for developing pneumonia. Anti-PD-1 therapy was a protective factor against pneumonia development (HR=0.2, 95% CI 0.05-0.9, P=0.034). In multivariable analysis, BTK inhibitor (HR=3.5, 95% CI 1.6-8.0, P=0.003), active therapy (HR=3.3, 95% CI 1.6-6.8, P=0.001), and disease non-remission (HR=2.9, 1.3-6.4, P=0.007) were independent risk factors for pneumonia development after COVID-19 infection in patients with lymphoma.

Conclusions

Patients with lymphoma receiving BTK inhibitors, undergoing active therapy, and lacking disease remission exhibited a higher risk for pneumonia associated with COVID-19.

Factors influencing in-hospital mortality in cancer patients with COVID-19: A retrospective survival analysis

Objective

The aim of this study was to evaluate survival in patients with COVID-19 and cancer, and to find factors associated with early mortality.

Methods

Retrospective cohort derived from a registry of a referral center in Bogotá. Survival was analyzed according to the type of neoplasm using Kaplan-Meier method. A cox regression was performed to look for factors associated to higher risk of death.

Results

Two hundred fifty-four patients were included with cancer and COVID-19, most of whom were women (median age 68 years; range 19-97). Cardiovascular comorbidities were frequent. Patients with hematologic neoplasms had higher survival than those with solid neoplasms (log-rank test, p = 0.024). C-reactive protein levels (hazard ratio 1.02; 95% confidence interval 1.00-1.03, p = 0.025), Charlson's comorbidity index (hazard ratio 1.15; 95% confidence interval 1.06-1.26, p = 0.004) and respiratory failure (hazard ratio 4.83; 95% confidence interval 2.47-9.44, p = <0.001) were significantly associated with higher mortality. No interaction between active anticancer therapy and mortality was observed.

Conclusion

In contrast to other reports, survival was worse in patients with solid tumors than in those with hematologic neoplasms. Increased C-reactive protein, Charlson's comorbidity index and respiratory failure were associated with higher in-hospital mortality. This study reveals the complex impact of cancer and its treatment on COVID-19 outcomes, highlighting the persistent risks to cancer patients. It emphasizes monitoring C-reactive protein levels, comorbidities, and respiratory failure as key indicators of poor prognosis. Furthermore, we provide new insights into the differential impact of COVID-19 on cancer patients with solid organ versus hematologic neoplasms.

SARS-CoV-2 nucleocapsid protein interaction with YBX1 displays oncolytic properties through PKM mRNA destabilization

BACKGROUND

SARS-CoV-2, a highly contagious coronavirus, is responsible for the global pandemic of COVID-19 in 2019. Currently, it remains uncertain whether SARS-CoV-2 possesses oncogenic or oncolytic potential in influencing tumor progression. Therefore, it is important to evaluate the clinical and functional role of SARS-CoV-2 on tumor progression.

METHODS

Here, we integrated bioinformatic analysis of COVID-19 RNA-seq data from the GEO database and performed functional studies to explore the regulatory role of SARS-CoV-2 in solid tumor progression, including lung, colon, kidney and liver cancer.

RESULTS

Our results demonstrate that infection with SARS-CoV-2 is associated with a decreased expression of genes associated with cancer proliferation and metastasis in lung tissues from patients diagnosed with COVID-19. Several cancer proliferation or metastasis related genes were frequently downregulated in SARS-CoV-2 infected intestinal organoids and human colon carcinoma cells. In vivo and in vitro studies revealed that SARS-CoV-2 nucleocapsid (N) protein inhibits colon and kidney tumor growth and metastasis through the N-terminal (NTD) and the C-terminal domain (CTD). The molecular mechanism indicates that the N protein of SARS-CoV-2 interacts with YBX1, resulting in the recruitment of PKM mRNA into stress granules mediated by G3BP1. This process ultimately destabilizes PKM expression and suppresses glycolysis.

CONCLUSION

Our study reveals a new function of SARS-CoV-2 nucleocapsid protein on tumor progression.

COVID-19 among lung cancer patients: Data from a real-life prospective French multicentric study

BACKGROUND

COVID-19 started to spread early in 2020, the precise year that lung cancer (LC) patients were recruited into the prospective epidemiological cohort KBP-2020-CPHG in French hospitals. This provides a unique opportunity to study COVID-19 incidence, survival risk factors, and overall prognosis.

METHODS

COVID data was collected before vaccination was made available. Clinical characteristics were compared (COVID vs non-COVID), incidence rate ratios were calculated based on clinical characteristics, survival (1 and 3 months) was estimated and the impact of COVID-19 on the overall prognosis of the cohort was studied.

RESULTS

In 2020, 285 out of 8,999 lung cancer patients were diagnosed with COVID-19. Diagnosis was mainly based on PCR tests (86.3 %). The annual incidence was 8.3 % (95 % CI [7.4, 9.3]); it was higher in former smokers and patients with squamous cell carcinoma or small cell carcinoma than in those with adenocarcinoma, in those with a PS score ≥2 versus 0-1, and with stages III-IV versus stages I-II. The incidence was reduced in patients who received chemotherapy or immunotherapy. 64.9 % of patients were hospitalized due to COVID-19. Risk factors for death at 1 and 3 months in COVID-19 patients were age, LC stage, and PS score. Multivariate analysis showed a major prognostic impact of COVID-19 on mortality of LC patients (hazard ratio: 4.12, 95 % CI [3.42, 4.97], p < 0.001).

CONCLUSIONS

This prospective study demonstrated the high incidence of COVID-19 in LC patients and identified as risk factors for COVID-19: smoking status, histology, PS, and stage. The impact of COVID-19 on lung cancer mortality appears major.

Reasons for Day-of-Surgery Cancellation of Elective Surgical Procedures During the COVID-19 Pandemic Compared to Pre- and Post-COVID-19 Periods

INTRODUCTION

With the emergence of the global pandemic caused by SARS-CoV-2, health service providers were put to the test. The utilization of operating theatres is one of the prime indicators of the logistic and organizational efficacy of a hospital. We performed an analysis evaluating the impact of the COVID-19 pandemic on the fluidity of providing surgical care to a patient with severe comorbidities and the organizational efficacy of the operating theater in a university hospital in northern Poland.

METHODS

Casemix between the periods was tested and Fisher's test was used to examine the significance of the association between (i) patient, (ii) workup, (iii) resource/facility, and (iv) bed-related causes of day-of-surgery cancellations in pre- and post-COVID-19 pandemic periods and early- and medium-COVID-19 pandemic periods.

RESULTS

In the study period, a total of 1,935 elective surgeries were booked, 2,219 elective and emergency surgeries were performed, and there were 203 (10.5%) cancellations. Patient-related cancellations increased significantly during the COVID-19 pandemic, accounting for 18.8% of cancellations, compared to 5.1% in pre- and post-pandemic periods (p = 0.0115). Resource/facility-related reasons remained the most frequent cause, contributing to 57.3% of cancellations during the pandemic.

CONCLUSIONS

Patient-related causes were the most frequent reasons in the COVID-19 pandemic period. Furthermore, patient-related reasons may have contributed to a drop in demand for surgical care and a nonsignificant change in the correlation between demand and supply for surgical care. The further effects of the COVID-19 pandemic on surgical department work are yet to be observed and should be reported to find a solution for growing societies' need for surgical care and find tools to minimize the "damage" caused by the next crisis in global healthcare.

Outcomes of Cancer Patients Affected by COVID-19 in Different Settings: A Retrospective Study in Lebanon

BACKGROUND

The diverse presentation of COVID-19 symptoms and outcomes has revealed a significant gap in understanding the specific risk factors and characteristics of the virus among immunocompromised cancer patients, particularly in the Middle East.

AIMS

We our study aimed to address this gap by investigating the characteristics and outcomes of COVID-19 in cancer patients compared to non-cancer patients.

METHODS AND RESULTS

We carried out a retrospective analysis, collecting demographic, oncologic, and COVID-19-related data from electronic medical records of 248 patients admitted to our tertiary care center in Lebanon. Statistical analysis was conducted using SPSS to identify patterns. Patients with solid tumors were 3.433 times more likely to die than those who were cancer-free (p = 0.012). Moreover, patients with advancing disease were 2.805 times more likely to be admitted to the ICU (p = 0.03) and 14.7 times more likely to die (p < 0.001) compared with those in remission.

CONCLUSION

Our findings emphasize the critical need for tailored preventive measures and specialized care for immunocompromised cancer patients, given their heightened vulnerability to severe COVID-19 outcomes. These insights contribute to the development of specific strategies aimed at enhancing the protection and clinical management of this high-risk group.

Impact of SARS-CoV-2 infection on immune cell cuproptosis in patients with lung adenocarcinoma via glutamine regulation

OBJECTIVE

Lung adenocarcinoma (LA), the most prevalent type of lung cancer, is associated with a high mortality rate, especially among patients with cancer previously infected with coronavirus disease (COVID-19). Therefore, this study aimed to explore the mechanisms by which COVID-19 exacerbates LA progression in a clinical setting.

METHODS

The experiment involved collecting serum samples from three groups: a healthy control group (Con, n = 20), a lung adenocarcinoma group (LA, n = 30), and a group of lung adenocarcinoma patients with first-time COVID-19 infection (C-LA, n = 58). Metabolites were analyzed using liquid chromatography-mass spectrometry, and differentially expressed metabolites were identified through bioinformatics analysis. The concentrations of glutathione (GSH), reactive oxygen species (ROS), and copper ions (Cu2+) in the serum of patients in the Con and C-LA groups were measured. Mitochondrial morphological changes in monocytes and lymphocytes were observed using electron microscopy.

RESULTS

Metabolomic analysis revealed 142 distinct metabolites, among which glutamine (Gln) expression was significantly decreased in the C-LA group. Compared to the Con group, the C-LA group showed a significant decrease in GSH and a notable increase in ROS and Cu2+. Further research revealed that the mitochondria of monocytes and lymphocytes in the C-LA group exhibited corresponding alterations indicative of cuproptosis.

CONCLUSIONS

SARS-CoV-2 infection may reduce Gln levels, leading to reduced GSH levels, copper overload, and increased death of immune cells, which may further exacerbate rapid tumor development. Thus, glutamine regulation plays an important role in LA progression in patients with COVID-19 and represents a potential therapeutic target.

Impaired acute-phase humoral immunity is the major factor predicting unfavorable outcomes in multiple myeloma patients with SARS-CoV-2 Omicron variants outbreak infection

At the end of 2022, a huge tide of SARS-CoV-2 infection mainly Omicron BA.4/5 developed in China. Multiple myeloma (MM) patients suffered cancer deterioration and mortality from COVID-19, yet profound analyses of Omicron variants-induced immunity function are scarce. We presented a longitudinal study in 218 MM patients and 73 healthy controls (HCs), reporting the prognostic factors and dynamic humoral and cellular immune responses. Neutralizing antibody and interferon γ ELISpot assay of SARS-CoV-2 was tested at three time points: 2-4, 8-10, and 14-16 weeks after infections. Our data showed older age, active MM, relapsed/refractory MM (R/RMM), immunotherapy, comorbidity, and non-vaccination were risk factors associated with hospitalization. Severe humoral immunity impairment within 2-4 weeks was especially seen in patients with unvaccinated, older age, immunotherapy, R/RMM and comorbidities, while T-cell response was relatively intact. Although antibodies of Omicron variants reached positive levels in MM patients at 8-10 weeks, half lost effective antibody protection at 14-16 weeks. However, most seronegative patients (76.2% at 2-4 weeks, 83.3% at 8-10 weeks) could develop effective T-cell response. Notably, the inactivated wild-type vaccinated patients exhibited weaker humoral and cellular immunity only at 2-4 weeks, escalating to similar levels as those in HCs later. Our findings indicate impairment of humoral immunity at acute-phase after infection is the major factor correlated with hospitalization. One-month suspension of immune therapy is suggested to prevent serious infection. These results confirm the value of inactivated vaccine, but indicate the need for additional booster at 14-16 weeks after infection for high-risk MM population.

Identifying immune checkpoints on dysregulated T-cells as prognostic biomarkers for multiple myeloma patients with COVID-19

Background

Broad T cell phenotypic alterations and potential dysfunctions were prominent in COVID-19. There are few and inconclusive data about the role of immune checkpoints for T cell exhaustion/activation during SARS-CoV-2 infection in multiple myeloma (MM) patients.

Methods

We tested T cell subsets and immune checkpoints in 177 MM patients with COVID-19, as well as in 32 healthy infected controls and 42 uninfected MM patients. The percentage of CD4+ and CD8+ subpopulation and immune checkpoints (PD-1, TIGIT, TIM-3, LAG-3, CTLA-4, OX40, and 4-1BB) were evaluated by flow cytometry.

Results

We have found that pronounced lymphopenia and inverted CD4/CD8 ratio in severe COVID-19 patients were especially developed within the first month after infection. And T cell subset dysregulation was persistent in severe patients recovering from SARS-CoV-2 infection. Immune checkpoints on CD4+ T cells were variable and uncorrelated with the level of adaptive immunity, while the proportion of CD4+ T cells was positively correlated with humoral immune response. PD-1 and TIGIT on CD8+ T cells were significantly elevated in severe patients and sustained for more than 2 months, which was associated with impaired cellular immune function. Moreover, exhausted molecules PD-1 and TIGIT on T cells were reduced in immunotherapy patients.

Conclusion

The prolonged T cell dysregulation after severe SARS-CoV-2 infection highlights the close surveillance from reinfection in MM patients even during convalescence. PD-1 and TIGIT on CD8+ T cells could be important prognostic factors to stratify prognosis in MM patients with COVID-19. Moreover, immunotherapy may downregulate the expression of exhausted checkpoints PD-1 and TIGIT, leading to T cell overactivation and severe COVID-19.

SARS-CoV-2 viral load is linked to remdesivir efficacy in severe Covid-19 admitted to intensive care

Remdesivir therapy has been declared as efficient in the early stages of Covid-19. Of the 339 patients (males 55.8%, age 71(59;77) years) with a detectable viral load, 140 were treated with remdesivir (of those 103 in the ICU and 57 immunosuppressed) and retrospectively compared with 199 patients (of those 82 in the ICU and 28 immunosuppressed) who were denied therapy due to advanced Covid-19. The viral load was estimated by detecting nucleocapsid antigen in serum (n = 155, median 217(28;1524)pg/ml), antigen in sputum (n = 18, COI 18(4.6;32)), nasopharyngeal antigen (n = 44, COI 17(8;35)) and the real-time PCR (n = 122, Ct 21(18;27)). After adjustment for confounders, patients on remdesivir had better 12-month survival (HR 0.66 (0.44;0.98), p = 0.039), particularly when admitted to the ICU (HR 0.49 (0.29;0.81), p = 0.006). For the immunocompromised patients, the difference did not reach statistical significance (HR 0.55 (0.18;1.69), p = 0.3). The other most significant confounders were age, ICU admission, mechanical ventilation, leukocyte/lymphocyte ratio, admission creatinine and immunosuppression. The impact of monoclonal antibodies or previous vaccinations was not significant. Despite frequent immune suppression including haemato-oncology diseases, lymphopenia, and higher inflammatory markers in the remdesivir group, the results support remdesivir administration with respect to widely available estimates of viral load in patients with high illness severity.

Hospital and post-discharge mortality in COVID-19 patients with a preexisting cancer diagnosis in Iran

BACKGROUND

Despite the severe impact of COVID-19 on cancer patients, data on COVID-19 outcomes in cancer patients from low- and middle-income countries is limited. We conducted a large study about the mortality rate of COVID-19 in cancer patients in Iran.

METHODS

We analyzed data from 1,079 cancer (average age: 58.2 years) and 5,514 non-cancer patients (average age: 57.2 years) who were admitted for COVID-19 in two referral hospitals between March 2019 and August 2021. Patients were followed up until death or 31st August 2021. Multiple logistic regression models estimated the odds ratio (OR) and 95% confidence intervals (CI) of factors associated with ICU admission and intubation. The Cox regression model estimated hazard ratios (HRs) and 95% CI of factors associated with hospital and post-discharge 60-day mortalities.

RESULTS

The cancer patients had higher ICU admission (OR = 1.65, 95% CI: 1.42-1.91; P-value 0.03) and intubation (OR = 3.13, 95% CI = 2.63-3.73, P-value < 0.001) than non-cancer patients. Moreover, hospital mortality was significantly higher in cancer patients than in non-cancer patients (HR = 2.12, 95% CI: 1.89-2.41, P-value < 0.001). HR for the post-discharge mortality was higher in these patients (HR = 2.79, 95% CI: 2.49-3.11, < 0.001). The hospital, comorbidities, low oxygen saturation, being on active treatment, and non-solid tumor were significantly associated with ICU admission (P-value < 0.05) in cancer patients, while only low oxygen saturation was associated with intubation. In addition, we found that old age, females, low oxygen saturation level, active treatment, and having a metastatic tumor were associated with death due to COVID-19 (P-value < 0.05). Only lung cancer patients had a significantly higher risk of death compared to other cancer types (HR = 1.50, 95% CI: 1.06-2.10, P-value = 0.02).

CONCLUSION

Cancer patients are at a higher risk of ICU admission, intubation, and death due to COVID-19 than non-cancer patients. Therefore, cancer patients who are infected with COVID-19 require intensive care in the hospital and active monitoring after their discharge from the hospital.

Experiencing the COVID-19 health crisis: Quality of life of young to mid-life hematology patients

PURPOSE

This study questions the quality of life of young to mid-life hematology patients during lockdowns in France.

METHOD

Fifteen semi-structured interviews were conducted in 2022.

FINDINGS

Thematic content analysis identified three main themes: (1) regulating fear of COVID-19 during the health crisis, (2) maintaining relationships and fostering social support during the pandemic, and (3) removing the stigma of cancer with COVID-19: a positive factor for patients' quality of life.

INTERPRETATION

Study participants experienced the restrictions imposed on the entire population in the face of COVID-19 in various ways, including positive events. In fact, for some, the lockdown situation allowed them to better "fit in" and feel less stigmatized because of their patient status. Indeed, lifestyles specific to them became common barrier gestures to the whole population.

IMPLICATIONS FOR PSYCHOSOCIAL PROVIDERS OR POLICY

The results underline the importance of broadening the communication fields and fostering psychosocial skills in these patients.

Patients with multiple myeloma infected with COVID-19 during autologous stem cell transplantation

Despite the global vaccination campaigns, certain patient groups remain highly vulnerable to SARS-CoV-2 and are at high risk for unfavorable COVID-19 outcomes. As previously shown by our group and a more recent report by Chang Su and coworkers, patients with multiple myeloma (MM) undergoing autologous stem cell transplantation (ASCT) represent one of such high-risk populations. This is due to the underlying disease-related immunodeficiency, suboptimal response to vaccines, heavy exposure to dexamethasone, and the use of high-dose melphalan prior to the ASCT procedure. Contracting SARS-CoV-2 and developing COVID-19 during the ASCT procedure remain high-risk events for these patients. It is then crucial to maintain and implement all appropriate strategies to prevent COVID-19 breakthroughs in this clinical setting. This might include targeted pre- and post-exposure prophylaxis with monoclonal antibodies, based on the circulation and prevalence of different SARS-CoV-2 variants/subvariants, and the prompt use of antivirals if, despite prophylaxis, MM patients develop COVID-19 during the transplantation procedure. We emphasize the importance of regularly monitoring MM patients for SARS-CoV-2 infection at all stages of the ASCT procedure. This is crucial to promptly implement measures to reduce the risk of unfavorable COVID-19 outcomes during the current post-pandemic phase.

Using virtual patient cohorts to uncover immune response differences in cancer and immunosuppressed COVID-19 patients

The COVID-19 pandemic caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) resulted in millions of deaths globally. Adults with immunosuppression (e.g., solid organ transplant recipients) and those undergoing active cancer treatments experience worse infections and more severe COVID-19. It is difficult to conduct clinical studies in these populations, resulting in a restricted amount of data that can be used to relate mechanisms of immune dysfunction to COVID-19 outcomes in these vulnerable groups. To study immune dynamics after infection with SARS-CoV-2 and to investigate drivers of COVID-19 severity in individuals with cancer and immunosuppression, we adapted our mathematical model of the immune response during COVID-19 and generated virtual patient cohorts of cancer and immunosuppressed patients. The cohorts of plausible patients recapitulated available longitudinal clinical data collected from patients in Montréal, Canada area hospitals. Our model predicted that both cancer and immunosuppressed virtual patients with severe COVID-19 had decreased CD8+ T cells, elevated interleukin-6 concentrations, and delayed type I interferon peaks compared to those with mild COVID-19 outcomes. Additionally, our results suggest that cancer patients experience higher viral loads (however, with no direct relation with severity), likely because of decreased initial neutrophil counts (i.e., neutropenia), a frequent toxic side effect of anti-cancer therapy. Furthermore, severe cancer and immunosuppressed virtual patients suffered a high degree of tissue damage associated with elevated neutrophils. Lastly, parameter values associated with monocyte recruitment by infected cells were found to be elevated in severe cancer and immunosuppressed patients with respect to the COVID-19 reference group. Together, our study highlights that dysfunction in type I interferon and CD8+ T cells are key drivers of immune dysregulation in COVID-19, particularly in cancer patients and immunosuppressed individuals.

Hypoxia related genes modulate in similar fashion in skin fibroblast cells of yak (Bos grunniens) adapted to high altitude and native cows (Bos indicus) adapted to tropical climate during hypoxia stress

The present study was conducted to understand transcriptional response of skin fibroblast of yak (Bos grunniens) and cows of Bos indicus origin to hypoxia stress. Six primary fibroblast cell lines derived from three individuals each of Ladakhi yak (Bos grunniens) and Sahiwal cows (Bos indicus) were exposed to low oxygen concentration for a period of 24 h, 48 h and 72 h. The expression of 10 important genes known to regulate hypoxia response such as HIF1A, VEGFA, EPAS1, ATP1A1, GLUT1, HMOX1, ECE1, TNF-A, GPx and SOD were evaluated in fibroblast cells of Ladakhi yak (LAY-Fb) and Sahiwal cows (SAC-Fb) during pre- and post-hypoxia stress. A panel of 10 reference genes (GAPDH, RPL4, EEF1A1, RPS9, HPRT1, UXT, RPS23, B2M, RPS15, ACTB) were also evaluated for their expression stability to perform accurate normalization. The expression of HIF1A was significantly (p < 0.05) induced in both LAY-Fb (2.29-fold) and SAC-Fb (2.07-fold) after 24 h of hypoxia stress. The angiogenic (VEGFA), metabolic (GLUT1) and antioxidant genes (SOD and GPx) were also induced after 24 h of hypoxia stress. However, EPAS1 and ATP1A1 induced significantly (p < 0.05) after 48 h whereas, ECE1 expression induced significantly (p < 0.05) at 72 h after exposure to hypoxia. The TNF-alpha which is a pro-inflammatory gene induced significantly (p < 0.05) at 24 h in SAC-Fb and at 72 h in LAY-Fb. The induction of hypoxia associated genes indicated the utility of skin derived fibroblast as cellular model to evaluate transcriptome signatures post hypoxia stress in populations adapted to diverse altitudes.

Immunogenicity of COVID-19 vaccines in patients with follicular lymphoma receiving frontline chemoimmunotherapy

Immune responses to primary COVID-19 vaccination were investigated in 58 patients with follicular lymphoma (FL) as part of the PETReA trial of frontline therapy (EudraCT 2016-004010-10). COVID-19 vaccines (BNT162b2 or ChAdOx1) were administered before, during or after cytoreductive treatment comprising rituximab (depletes B cells) and either bendamustine (depletes CD4+ T cells) or cyclophosphamide-based chemotherapy. Blood samples obtained after vaccine doses 1 and 2 (V1, V2) were analysed for antibodies and T cells reactive to the SARS-CoV-2 spike protein using the Abbott Architect and interferon-gamma ELISpot assays respectively. Compared to 149 healthy controls, patients with FL exhibited lower antibody but preserved T-cell responses. Within the FL cohort, multivariable analysis identified low pre-treatment serum IgA levels and V2 administration during induction or maintenance treatment as independent determinants of lower antibody and higher T-cell responses, and bendamustine and high/intermediate FLIPI-2 score as additional determinants of a lower antibody response. Several clinical scenarios were identified where dichotomous immune responses were estimated with >95% confidence based on combinations of predictive variables. In conclusion, the immunogenicity of COVID-19 vaccines in FL patients is influenced by multiple disease- and treatment-related factors, among which B-cell depletion showed differential effects on antibody and T-cell responses.

Analyzing the impact of the Coronavirus disease 2019 pandemic on initial oncologic presentation and treatment of non-small cell lung cancer in the United States

BACKGROUND

A significantly lower rate of non-small cell lung cancer (NSCLC) screening, greater health care avoidance, and changes to oncologic recommendations were some consequences of the Coronavirus disease 2019 (COVID-19) pandemic affecting the medical environment. We sought to determine how the health care environment during the COVID-19 pandemic affected the oncologic treatment of patients diagnosed with non-small cell lung cancer (NSCLC).

METHODS

This was a retrospective cohort study evaluating patients with NSCLC in the National Cancer Database (2019-2020). Patients were divided into prepandemic (2019) and pandemic (2020) cohorts, and patient, oncologic, and treatment variables were compared. Multivariable logistic regression was performed to control for the impact of demographic characteristics on oncologic variables and the impact of oncologic variables on treatment variables.

RESULTS

The study population comprised 250,791 patients, including 114,533 patients (45.7%) in the pandemic cohort. There were 15% fewer new NSCLC diagnoses during the pandemic compared with prepandemic. Patients diagnosed during the pandemic had more advanced clinical TNM stage on presentation (P < .0001) and were more likely to have tumors in overlapping lobes or in a main bronchus (P = .0002). They were less likely to receive cancer treatment (P < .0001) and to undergo primary resection (P < .0001) and more likely to receive adjuvant systemic therapy (P = .004) and a combination of palliative treatment regimens (P < .0001). After risk adjustment, all these differences remained statistically significant (P < .05).

CONCLUSIONS

The COVID-19 pandemic was associated with increased clinical stage at presentation for patients with NSCLC, which impacted subsequent treatment strategies. However, treatment differed minimally when controlling for cancer stage. Future studies will examine the impact of these differences on overall survival and cancer-free survival.

Epidemiology and disease characteristics of myelofibrosis: a comparative analysis between Italy and global perspectives

Myelofibrosis (MF) is a clonal disorder of hematopoietic stem cells characterized by altered bone marrow function and fibrosis. The aim of this narrative review is to report on the most recent epidemiologic data and to discuss features of MF and current strategies for the management of this condition in clinical practice. MF features covered by our review will include: characteristics of patients with MF; myeloproliferative and myelodepletive phenotypes; MF-associated thrombosis and bleeding; risk of infections; prefibrotic and overt PMF; secondary MF. Finally, we will discuss a few aspects of MF management in clinical practice and suggest strategies for its optimization and standardization. The focus of our paper is on Italy, but relevant data from other countries will also be reviewed.

Impact of the COVID-19 Pandemic on Prostate Cancer Diagnosis, Staging, and Treatment: A Population-Based Study in Northern Italy

The COVID-19 pandemic has caused delays in cancer diagnoses and reductions in treatments. The aim of this work is to evaluate the impact of the pandemic on prostate cancer by evaluating whether there has been a shift towards more aggressive (Gleason) and more advanced tumors (stage IV) and a decline in treatments. The study was conducted on 1123 cases of prostate cancer incident in the Province of Reggio Emilia, Northern Italy, in the period of 2018-2021. In 2020, there was a decline in new diagnoses of prostate cancer (-31%), followed by a slight recovery in 2021 (+5%). While Gleason 7 and 8-10 values remained constant, a significant decrease was recorded in stage I (38.7%, 41.6%, 35.5%, and 27.7%) and an increase in stage IV (13.1%, 13%, 15.4%, and 20%) cases in the years 2018, 2019, 2020, and 2021, respectively. However, there was no impact on surgical treatment (which remained constant at around 35%) and radiotherapy (around 39%). Our findings underline the profound impact of COVID-19 on prostate cancer management, highlighting the importance of healthcare resilience in the face of unprecedented disruptions.

Machine learning prediction of the case-fatality of COVID-19 and risk factors for adverse outcomes in patients with non-small cell lung cancer

Background

Since the emergence of coronavirus disease 2019 (COVID-19) across the globe, patients with cancer have been found to have an increased risk of infection with COVID-19 and are highly likely to experience a severe disease course. This study analyzed the clinical outcomes of COVID-19 in patients with non-small cell lung cancer (NSCLC) and identified the risk factors for adverse outcomes.

Methods

The study included patients diagnosed with COVID-19 between January 2020 and April 2022 at the Samsung Medical Center in Seoul, Republic of Korea, who have a history of NSCLC. The case-fatality rate and risk factors for COVID-19 were analyzed using a machine-learning prediction method. Additionally, the study investigated the effect of COVID-19 on the systemic treatment of patients with advanced-stage NSCLC.

Results

Overall, 1,127 patients were included in this study, with 10.3% of the patients being older than 75 years; of these patients, 51.8% were ex- or current smokers. Among the 584 patients cured after surgery, 91 had stable disease after concurrent chemo-radiotherapy, and 452 had recurrent or metastatic NSCLC. Among 452 patients with recurrent or metastatic NSCLC, 387 received systemic treatment in a palliative setting during COVID-19. Of these, 188 received targeted therapy, 111 received cytotoxic chemotherapy, 63 received immunotherapy +/- chemotherapy, and 26 received other agents. Among them, 94.6% of patients continued systemic treatment after the COVID-19 infection. Only one patient discontinued treatment because of complications of the COVID-19 infection, and 18 patients changed their systemic treatment because of disease progression. The case fatality rates were 0.86% for patients with early-stage NSCLC, 4.4% for patients with locally advanced NSCLC, and 9.96% for patients with advanced NSCLC. The factors associated with fatalities included palliative chemotherapy, type of palliative chemotherapy, age (≥75 years), diabetes, smoking history, history of lung radiotherapy, hypertension, sex, and chronic obstructive pulmonary disease (COPD). The predictive model using logistic regression and eXtreme Gradient Boosting (XGB) performed well [area under the curve (AUC) for logistic regression =0.84 and AUC for XGB =0.84].

Conclusions

The case fatality rate in patients with NSCLC was 4.8%, while most patients with advanced NSCLC continued to receive systemic treatment. However, patients with risk factors require careful management of COVID-19 complications.

Cancer Care During the COVID-19 Pandemic: A Retrospective Study From a Najran Oncology Center

Background The COVID-19 pandemic significantly impacted healthcare systems globally, with cancer patients representing a particularly vulnerable group. This study aims to evaluate the influence of COVID-19 on cancer, focusing on infection rates, types of care, therapy adjustments, and factors associated with COVID-19 infection. Materials and methods This single-center retrospective analysis included adult cancer patients who underwent anticancer therapy at King Khalid Hospital in Najran, Saudi Arabia, from December 20, 2020, to January 23, 2022. Data on patient and cancer characteristics, COVID-19 specifics, treatment delays, outcomes, and factors associated with COVID-19 were collected and analyzed. Results A total of 257 chemotherapy recipients were interviewed. The mean age was 52.6 ± 14.4 years, with 44 (17.1%) over 65 years old. Females comprised 160 (62.3%) of the patients. The most common malignancies were gastrointestinal (71, 27.6%), breast (70, 27.2%), and hematological (50, 19.5%). Metastasis was present in 116 patients (45.1%). Common comorbidities included diabetes (68, 26.5%) and hypertension (55, 21.4%). Most patients (226, 87.9%) were vaccinated against COVID-19. COVID-19 tested positive in 22 patients (8.6%), with a lower infection rate in vaccinated patients (7 vs. 15, p < 0.001). Most cases were mild (18, 81.8%), with fever (19, 7.4%) and cough and fatigue (17, 6.6%) being the most common symptoms. The median time to resume treatment post-infection was 30 days. Factors associated with higher infection rates included diabetes (OR: 4.73, 95% CI: 1.94-12.03, p = 0.001), coronary artery disease (OR: 4.13, 95% CI: 1.07-13.30, p = 0.049), chronic lung disease (OR: 15.58, 95% CI: 5.37-45.79, p < 0.001), chronic liver disease (OR: 7.64, 95% CI: 2.38-22.98, p < 0.001), and multiple comorbidities (OR: 2.04, 95% CI: 1.46-2.90, p < 0.001), cancer patients who received chemotherapy (OR: 1.02, 95% CI: 0.12-12.79, p = 0.027), and immunotherapy (OR: 3.37, 95% CI:1.27-8.43, p = 0.012). Conclusion The incidence of COVID-19 in cancer patients is proportional to the prevalence in the general population of similar geographic areas. Diabetes, coronary artery disease, chronic lung disease, chronic liver disease, receiving chemotherapy or immunotherapy, and multiple comorbidities were associated with higher COVID-19 infection rates.

Changes in hospital mortality in patients with cancer during the COVID-19 pandemic (ISARIC-CCP-UK): a prospective, multicentre cohort study

BACKGROUND

Patients with cancer are at greater risk of dying from COVID-19 than many other patient groups. However, how this risk evolved during the pandemic remains unclear. We aimed to determine, on the basis of the UK national pandemic protocol, how factors influencing hospital mortality from COVID-19 could differentially affect patients undergoing cancer treatment. We also examined changes in hospital mortality and escalation of care in patients on cancer treatment during the first 2 years of the COVID-19 pandemic in the UK.

METHODS

We conducted a prospective cohort study of patients aged older than 19 years and admitted to 306 health-care facilities in the UK with confirmed SARS-CoV-2 infection, who were enrolled in the International Severe Acute Respiratory and emerging Infections Consortium (ISARIC) WHO Clinical Characterisation Protocol (CCP) across the UK from April 23, 2020, to Feb 28, 2022; this analysis included all patients in the complete dataset when the study closed. The primary outcome was 30-day in-hospital mortality, comparing patients on cancer treatment and those without cancer. The study was approved by the South Central-Oxford C Research Ethics Committee in England (Ref: 13/SC/0149) and the Scotland A Research Ethics Committee (Ref 20/SS/0028), and is registered on the ISRCTN Registry (ISRCTN66726260).

FINDINGS

177 871 eligible adult patients either with no history of cancer (n=171 303) or on cancer treatment (n=6568) were enrolled; 93 205 (52·4%) were male, 84 418 (47·5%) were female, and in 248 (13·9%) sex or gender details were not specified or data were missing. Patients were followed up for a median of 13 (IQR 6-21) days. Of the 6568 patients receiving cancer treatment, 2080 (31·7%) died at 30 days, compared with 30 901 (18·0%) of 171 303 patients without cancer. Patients aged younger than 50 years on cancer treatment had the highest age-adjusted relative risk (hazard ratio [HR] 5·2 [95% CI 4·0-6·6], p<0·0001; vs 50-69 years 2·4 [2·2-2·6], p<0·0001; 70-79 years 1·8 [1·6-2·0], p<0·0001; and >80 years 1·5 [1·3-1·6], p<0·0001) but a lower absolute risk (51 [6·7%] of 763 patients <50 years died compared with 459 [30·2%] of 1522 patients aged >80 years). In-hospital mortality decreased for all patients during the pandemic but was higher for patients on cancer treatment than for those without cancer throughout the study period.

INTERPRETATION

People with cancer have a higher risk of mortality from COVID-19 than those without cancer. Patients younger than 50 years with cancer treatment have the highest relative risk of death. Continued action is needed to mitigate the poor outcomes in patients with cancer, such as through optimising vaccination, long-acting passive immunisation, and early access to therapeutics. These findings underscore the importance of the ISARIC-WHO pandemic preparedness initiative.

FUNDING

National Institute for Health Research and the Medical Research Council.

The journey of lung cancer patients from symptoms to diagnosis in Greece. A mixed methods approach

The early diagnosis of lung cancer improves the probability of successful treatment. However, patients and physicians face several difficulties that can considerably delay the diagnostic process. A mixed-methods study that would follow the patient's journey throughout the diagnostic process could alleviate these difficulties. This study aimed to (a) track the patients' journey from the onset of symptoms until diagnosis and, (b) explore the patients' perspective of the journey until diagnosis, on the largest island of Greece. A convergent mixed-methods study was conducted with 94 patients with lung cancer. Patients completed a self-report questionnaire and were interviewed about their symptoms and journey through the healthcare system before their diagnosis. Our findings revealed several problems and delays in the diagnostic process. Both quantitative and qualitative data showed that patients did not recognize their symptoms and sought medical advice in time because they overlooked or attributed their symptoms to 'simpler'/'more common' causes. Furthermore, most patients were diagnosed 1-3 months after their first visit to a physician for their symptoms. Qualitative data analysis revealed three broad categories of problems that delayed diagnosis: (1) physician missteps, (2) administrative problems, and (3) the effect of the Covid-19 pandemic. This study found that major issues and delays prolong the diagnostic process for lung cancer. Therefore, optimization of diagnostic processes at each level of healthcare and interspecialty cooperation programs are needed. Furthermore, population-based interventions and patient education can help lung cancer patients be diagnosed early and improve their quality of life and disease outcomes.

Challenges in Treating Pediatric Cancer Patients during the COVID-19 Pandemic: Balancing Risks and Care

The COVID-19 pandemic has resulted in millions of fatalities worldwide. The case of pediatric cancer patients stands out since, despite being considered a population at risk, few studies have been carried out concerning symptom detection or the description of the mechanisms capable of modifying the course of the COVID-19 disease, such as the interaction and response between the virus and the treatment given to cancer patients. By synthesizing existing studies, this paper aims to expose the treatment challenges for pediatric patients with COVID-19 in an oncology context. Additionally, this updated review includes studies that utilized the antiviral agents Remdesivir and PaxlovidTM in pediatric cancer patients. There is no specific treatment designed exclusively for pediatric cancer patients dealing with COVID-19, and it is advisable to avoid self-medication to prevent potential side effects. Managing COVID-19 in pediatric cancer patients is indeed a substantial challenge. New strategies, such as chemotherapy application rooms, have been implemented for children with cancer who were positive for COVID-19 but asymptomatic since the risk of disease progression is greater than the risk of complications from SARS-CoV-2.

COVID-19 and Cancer Detection in Russia

Overdiagnosis, associated with mass testing in healthy populations, is a significant issue for breast, prostate, renal, and thyroid cancers. During the lockdowns caused by the COVID-19 pandemic, the intensity of cancer screening was expected to go down. In this study, we analyzed the impact of the expected reduction in screening intensity on morbidity and mortality from certain malignancies. Cumulative data from the Russian National Cancer Registry available from 2000 to 2022 were analyzed. It was noted that there has been no noticeable effect of the COVID-19 lockdowns on mortality rates from breast, prostate, renal, or thyroid cancers. At the same time, the detectable incidence decreased markedly in 2020 at the time of the lockdowns and then returned to pre-pandemic levels in 2022. At the moment, there is no sufficient reason to believe that skipping screening tests in 2020 could have any impact on breast, prostate, renal, or thyroid cancer mortality two years later (2022). The data presented further confirm that the overdiagnosis of these types of malignancies is caused by widespread screening among a generally healthy population.

Use of chronic medications and risk of death due to COVID-19 in hospitalised patients

OBJECTIVES

To evaluate the potential association between chronic exposure to medication and death related to COVID-19.

METHODS

This is a retrospective cross-sectional study that included all patients hospitalised due to COVID-19 from 11 March to 4 June 2020 in our centre. Chronic patient medication was classified by the Anatomical Therapeutic Chemical (ATC) classification; demographic and clinical data were analysed. Multivariate logistic regression models were used to estimate the adjusted odds ratios (aOR) of death for each drug exposure; each aOR represents an independent model adjusted by clinical factors related to COVID-19 mortality.

RESULTS

The study included 978 patients with a mean (SD) age of 64.5 (17.7) years who were predominantly male (531, 54.3%). Of all 978 patients, 182 (18.61%) died during the follow-up of the study. The most common Charlson Comorbidity Index (CCI) was 0, 4.2% were smokers, 16.7% were obese, 47.4% had hypertension, and 19.4% were diabetic. Most patients (70.8%) were prescribed at least one treatment, 32.5% used >5 treatments, and 8.6% >10. Our data suggest that COVID-19 hospitalised patients taking trimethoprim and analogues, leukotriene receptor antagonists, calcineurin inhibitors, aldosterone antagonists, selective immunosuppressants, propulsives, insulins and analogues, and benzodiazepine derivatives have a higher risk of death.

CONCLUSIONS

This study investigated the association between chronic exposure to drugs and the risk of death in COVID-19 patients. Our results have shed some light on the impact of chronic drug exposure on the risk of severe COVID-19; however, further research is needed to increase the understanding about its relevance.

Identifying predictors of COVID-related delays in cancer-specific medical care

PURPOSE

Evidence of the impact of the COVID-19 pandemic on cancer prevention and control is growing, but little is known about patient-level factors associated with delayed care. We analyzed data from a survey focused on Iowan cancer patients' COVID-19 experiences in the early part of the pandemic.

METHODS

Participants were recruited from the University of Iowa Holden Comprehensive Cancer Center's Patients Enhancing Research Collaborations at Holden (PERCH) program. We surveyed respondents on demographic characteristics, COVID-19 experiences and reactions, and delays in any cancer-related health care appointment, or cancer-related treatment appointments. Two-sided significance tests assessed differences in COVID-19 experiences and reactions between those who experienced delays and those who did not.

RESULTS

There were 780 respondents (26% response), with breast, prostate, kidney, skin, and colorectal cancers representing the majority of respondents. Delays in cancer care were reported by 29% of respondents. In multivariable-adjusted models, rural residents (OR 1.47; 95% CI 1.03, 2.11) and those experiencing feelings of isolation (OR 2.18; 95% CI 1.37, 3.47) were more likely to report any delay, where experiencing financial difficulties predicted delays in treatment appointments (OR 5.72; 95% CI 1.96, 16.67). Health insurance coverage and concern about the pandemic were not statistically significantly associated with delays.

CONCLUSION

These findings may inform cancer care delivery during periods of instability when treatment may be disrupted by informing clinicians about concerns that patients have during the treatment process. Future research should assess whether delays in cancer care impact long-term cancer outcomes and whether delays exacerbate existing disparities in cancer outcomes.

Immunocompromised individuals are at increased risk of COVID-19 breakthrough infection, hospitalization, and death in the post-vaccination era: A systematic review

INTRODUCTION

Immunocompromised individuals have been shown to mount a reduced response to vaccination, resulting in reduced vaccine effectiveness in this cohort. Therefore, in the postvaccination era, immunocompromised individuals remain at high risk of breakthrough infection and COVID-19 related hospitalization and death, which persist despite vaccination efforts. There has been a marked paucity of systematic reviews evaluating existing data describing the clinical measures of efficacy of COVID-19 vaccination, specifically in immunocompromised populations. In particular, there is a scarcity of comprehensive evaluations exploring breakthrough infections and severe COVID-19 in this patient population.

METHODS

To address this gap, we conducted a systematic review which aimed to provide a summary of current clinical evidence of the effectiveness of COVID-19 vaccination in the immunocompromised population. Using PRISMA guidelines, we conducted a literature search on PubMed and the Cochrane database published between January 1, 2021 to September 1, 2022.

RESULTS

Our findings demonstrated that despite vaccination, immunocompromised patients remained at high risk of new breakthrough COVID-19 infection and severe COVID-19 outcomes compared to the general population. We found increased average relative risk (RR) of breakthrough infections in the immunocompromised population, including patients with cancer (RR = 1.4), HIV (RR = 1.92), chronic kidney disease (RR = 2.26), immunodeficiency (RR = 2.55), and organ transplant recipients (RR = 6.94). These patients are also at greater risk for hospitalizations and death following COVID-19 breakthrough infection. We found that the RR of hospitalization and death in Cancer patients was 1.08 and 2.82, respectively.

CONCLUSION

This demonstrated that vaccination does not offer an adequate level of protection in these groups, necessitating further measures such as Evusheld and further boosters.

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.

Characteristics and prognosis of patients with COVID-19 and hematological diseases in Japan: a cross-sectional study

The Japanese Society of Hematology performed an observational cross-sectional study to clarify the morbidity, prognosis, and prognostic factors in patients with COVID-19 with hematological diseases (HDs) in Japan. The study included patients with HDs who enrolled in our epidemiological survey and had a COVID-19 diagnosis and a verified outcome of up to 2 months. The primary endpoints were characteristics and short-term prognosis of COVID-19 in patients with HDs. A total of 367 patients from 68 institutes were enrolled over 1 year, and the collected data were analyzed. The median follow-up among survivors was 73 days (range, 1-639 days). The 60-day overall survival (OS) rate was 86.6%. In the multivariate analysis, albumin ≤ 3.3 g/dL and a need for oxygen were independently associated with inferior 60-day OS rates (hazard ratio [HR] 4.026, 95% confidence interval (CI) 1.954-8.294 and HR 14.55, 95% CI 3.378-62.64, respectively), whereas 60-day survival was significantly greater in patients with benign rather than malignant disease (HR 0.095, 95% CI 0.012-0.750). Together, these data suggest that intensive treatment may be necessary for patients with COVID-19 with malignant HDs who have low albumin levels and require oxygen at the time of diagnosis.

Impact of SARS-CoV-2 vaccines and recent chemotherapy on COVID-19 morbidity and mortality in patients with soft tissue sarcoma: an analysis from the OnCovid registry

Background

To date, limited evidence exists on the impact of COVID-19 in patients with soft tissue sarcoma (STS), nor about the impact of SARS-CoV-2 vaccines and recent chemotherapy on COVID-19 morbidity and mortality in this specific population.

Methods

We described COVID-19 morbidity and mortality among patients with STS across 'Omicron' (15 December 2021-31 January 2022), 'Pre-vaccination' (27 February 2020-30 November 2020), and 'Alpha-Delta' phase (01 December 2020-14 December 2021) using OnCovid registry participants (NCT04393974). Case fatality rate at 28 days (CFR28) and COVID-19 severity were also described according to the SARS-CoV-2 vaccination status, while the impact of the receipt of cytotoxic chemotherapy within 4 weeks prior to COVID-19 on clinical outcomes was assessed with Inverse Probability of Treatment Weighting (IPTW) models adjusted for possible confounders.

Results

Out of 3820 patients, 97 patients with STS were included. The median age at COVID-19 diagnosis was 56 years (range: 18-92), with 65 patients (67%) aged < 65 years and most patients had a low comorbidity burden (65, 67.0%). The most frequent primary tumor sites were the abdomen (56.7%) and the gynecological tract (12.4%). In total, 36 (37.1%) patients were on cytotoxic chemotherapy within 4 weeks prior to COVID-19. The overall CFR28 was 25.8%, with 38% oxygen therapy requirement, 34% rate of complications, and 32.3% of hospitalizations due to COVID-19. CFR28 (29.5%, 21.4%, and 12.5%) and all indicators of COVID-19 severity demonstrated a trend toward a numerical improvement across the pandemic phases. Similarly, vaccinated patients demonstrated numerically improved CFR28 (16.7% versus 27.7%) and COVID-19 morbidity compared with unvaccinated patients. Patients who were on chemotherapy experienced comparable CFR28 (19.4% versus 26.0%, p = 0.4803), hospitalizations (50.0% versus 44.4%, p = 0.6883), complication rates (30.6% versus 34.0%, p = 0.7381), and oxygen therapy requirement (28.1% versus 40.0%, p = 0.2755) compared to those who were not on anticancer therapy at COVID-19, findings further confirmed by the IPTW-fitted multivariable analysis.

Conclusion

In this study, we demonstrate an improvement in COVID-19 outcomes in patients with STS over time. Recent exposure to chemotherapy does not impact COVID-19 morbidity and mortality and SARS-CoV-2 vaccination confers protection against adverse outcomes from COVID-19 in this patient population.

Impaired humoral immunity following COVID-19 vaccination in HTLV-1 carriers

BACKGROUND

Whether human T-lymphotropic virus type 1 (HTLV-1) carriers can develop sufficient humoral immunity after coronavirus disease 2019 (COVID-19) vaccination is unknown.

METHODS

To investigate humoral immunity after COVID-19 vaccination in HTLV-1 carriers, a multicenter, prospective observational cohort study was conducted at five institutions in southwestern Japan, an endemic area for HTLV-1. HTLV-1 carriers and HTLV-1-negative controls were enrolled for this study from January to December 2022. During this period, the third dose of the COVID-19 vaccine was actively administered. HTLV-1 carriers were enrolled during outpatient visits, while HTLV-1-negative controls included health care workers and patients treated by participating institutions for diabetes, hypertension, or dyslipidemia. The main outcome was the effect of HTLV-1 infection on the plasma anti-COVID-19 spike IgG (IgG-S) titers after the third dose, assessed by multivariate linear regression with other clinical factors.

RESULTS

We analyzed 181 cases (90 HTLV-1 carriers, 91 HTLV-1-negative controls) after receiving the third dose. HTLV-1 carriers were older (median age 67.0 vs. 45.0 years, p < 0.001) and more frequently had diabetes, hypertension, or dyslipidemia than did HTLV-1-negative controls (60.0% vs. 27.5%, p < 0.001). After the third dose, the IgG-S titers decreased over time in both carriers and controls. Multivariate linear regression in the entire cohort showed that time since the third dose, age, and HTLV-1 infection negatively influenced IgG-S titers. After adjusting for confounders such as age, or presence of diabetes, hypertension, or dyslipidemia between carriers and controls using the overlap weighting propensity score method, and performing weighted regression analysis in the entire cohort, both time since the third dose and HTLV-1 infection negatively influenced IgG-S titers.

CONCLUSIONS

The humoral immunity after the third vaccination dose is impaired in HTLV-1 carriers; thus, customized vaccination schedules may be necessary for them.

Assessment of Changes in Cancer Treatment During the First Year of the COVID-19 Pandemic in the US

Importance

The COVID-19 pandemic led to disruptions in access to health care, including cancer care. The extent of changes in receipt of cancer treatment is unclear.

Objective

To evaluate changes in the absolute number, proportion, and cancer treatment modalities provided to patients with newly diagnosed cancer during 2020, the first year of the pandemic.

Design, Setting, and Participants

In this cohort study, adults aged 18 years and older diagnosed with any solid tumor between January 1, 2018, and December 31, 2020, were identified using the National Cancer Database. Data analysis was conducted from September 19, 2022, to July 28, 2023.

Exposure

First year of the COVID-19 pandemic.

Main Outcomes and Measures

The expected number of procedures for each treatment modality (surgery, radiotherapy, chemotherapy, immunotherapy, and hormonal therapy) in 2020 were calculated using historical data (January 1, 2018, to December 31, 2019) with the vector autoregressive method. The difference between expected and observed numbers was evaluated using a generalized estimating equation under assumptions of the Poisson distribution for count data. Changes in the proportion of different types of cancer treatments initiated in 2020 were evaluated using the additive outlier method.

Results

A total of 3 504 342 patients (1 214 918 in 2018, mean [SD] age, 64.6 [13.6] years; 1 235 584 in 2019, mean [SD] age, 64.8 [13.6] years; and 1 053 840 in 2020, mean [SD] age, 64.9 [13.6] years) were included. Compared with expected treatment from previous years' trends, there were approximately 98 000 fewer curative intent surgical procedures performed, 38 800 fewer chemotherapy regimens, 55 500 fewer radiotherapy regimens, 6800 fewer immunotherapy regimens, and 32 000 fewer hormonal therapies initiated in 2020. For most cancer sites and stages evaluated, there was no statistically significant change in the type of cancer treatment provided during the first year of the pandemic, the exception being a statistically significant decrease in the proportion of patients receiving breast-conserving surgery and radiotherapy with a simultaneous statistically significant increase in the proportion of patients undergoing mastectomy for treatment of stage I breast cancer during the first months of the pandemic.

Conclusions and Relevance

In this large national cohort study, a significant deficit was noted in the number of cancer treatments provided in the first year of the COVID-19 pandemic. Data indicated that this deficit in the number of cancer treatments provided was associated with decreases in the number of cancer diagnoses, not changes in treatment strategies.

Factors influencing COVID-19 mortality among cancer patients: A Brazilian multi-institutional study

PURPOSE

This study aimed to describe the demographic and clinical characteristics of cancer patients with COVID-19, exploring factors associated with adverse outcomes.

PATIENTS AND METHODS

This retrospective cohort study methodically extracted and curated data from electronic medical records (EMRs) of numerous healthcare institutions on cancer patients diagnosed with a confirmed SARS-CoV-2 infection between May 2020 and August 2021, to identify risk factors linked to extended hospitalization and mortality. The retrieved information encompassed the patients' demographic and clinical characteristics, including the incidence of prolonged hospitalization, acute complications, and COVID-19-related mortality.

RESULTS

A total of 1446 cancer patients with COVID-19 were identified (mean [Standard deviation] age, 59.2 [14.3] years). Most patients were female (913 [63.1%]), non-white (646 [44.7%]), with non-metastatic (818 [56.6%]) solid tumors (1318 [91.1%]), and undergoing chemotherapy (647 [44.7%]). The rate of extended hospitalization due to COVID-19 was 46% (n = 665), which was significantly impacted by age (p = 0.012), sex (p = 0.003), race and ethnicity (p = 0.049), the presence of two or more comorbidities (p = 0.006), hematologic malignancies (p = 0.013), metastatic disease (p = 0.002), and a performance status ≥ 2 (p = 0.001). The COVID-19-related mortality rate was 18.9% (n = 273), and metastatic disease (<0.001), performance status ≥2 (<0.001), extended hospitalization (p = 0.028), renal failure (p = 0.029), respiratory failure (p < 0.001), sepsis (p = 0.004), and shock (p = 0.040) significantly and negatively influenced survival.

CONCLUSION

The rate of extended hospitalization and COVID-19-specific death in cancer patients was notably high and could be influenced by comorbidities, cancer treatment status, and clinical fragility. These observations may aid in developing risk counseling strategies regarding COVID-19 in individuals diagnosed with cancer.

Early Systemic Anti-neoplastic Treatment Post SARS-CoV-2 Infection in Patients with Breast Cancer

INTRODUCTION

It is unclear how soon after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection it is safe to resume systemic anti-neoplastic treatment in patients with cancer. We assessed the risk of admissions or postponed treatment cycle in vaccinated patients with breast cancer receiving early systemic anti-neoplastic treatment following SARS-CoV-2 infection.

METHODS

This was a retrospective cohort study conducted during Omicron SARS-CoV-2 outbreak in Israel, January-July 2022. SARS-CoV-2 cohort included 30 vaccinated patients with breast cancer with SARS-CoV-2 infection 7-14 days prior to systemic treatment. All patients had resolved symptoms and a negative antigen detection test on the day of treatment. The pre-coronavirus disease 2019 (COVID-19) pandemic cohort consisted of 49 matched patients with breast cancer treated with systemic anti-neoplastic agents during 2019.

RESULTS

In 30 vaccinated patients with breast cancer who received systemic anti-neoplastic treatment 7-14 days following SARS-CoV-2 infection, compared with 49 matched patients treated in 2019, the rates of emergency department (ED) visits (13% versus 6%, respectively), hospitalizations (3% versus 4%), next cycle of treatment given per protocol (90% versus 88%), and death (0% versus 0%) were similar.

CONCLUSION

In a cohort of vaccinated patients with breast cancer who received systemic anti-neoplastic treatment 7-14 days after SARS-CoV-2 infection, we did not observe substantially higher rates of ED visits, hospitalizations, or deaths compared with a similar cohort of pre-COVID-19 patients with breast cancer. Most patients received the next planned cycle on time. Early resumption of systemic anti-neoplastic treatment following SARS-CoV-2 infection in vaccinated patients with breast cancer with a negative antigen test at the day of treatment appeared to be safe. Additional data on larger cohorts and other malignancies are needed to support clinical guidelines.

The Impact COVID-19 Infection on Cancer Patients: A Tertiary Cancer Center Experience in Jordan

BACKGROUND

Cancer patients are at higher risk of serious complications of COVID-19. Few studies evaluated the impact of COVID-19 on cancer patients in low- and middle-income countries. Our study aims to evaluate the outcomes of COVID-19 infection in cancer patients treated at our institution.  Methods: Medical records of patients with a positive COVID-19 polymerase chain reaction (PCR) between April 2020 and October 2020 were reviewed. Fisher's exact test and logistic regression analysis were employed to correlate various variables with mortality. Survival estimates were generated using the Kaplan-Meier method.

RESULTS

A total of 317 patients were included, with a median age was 55 years (range: 19-88). 82 (25.9%) had hematological neoplasms while the remainder had solid cancers. At the time of infection, 220 (69.4%) had active cancer, and 99 (31.2%) had received systemic anticancer treatment (SACT) within four weeks. Hospitalization was required for 101 (31.8%), 17 (5.3%) were admitted to the ICU and 50 (15.8%) died. Among patients with active cancer, SACT was delayed or discontinued in 140 (63.6%) patients.  In the entire patient cohort, low albumin (p=<0.001) and leucocytosis (p=<0.001) correlated with mortality within six months of COVID-19 infection. The six-month mortality rate in patients with active cancer was significantly higher in patients with hypertension (p=0.024), no recent SACT (0.017), hematological cancer (p=0.029), low albumin (p=<0.001), leucocytosis (p=0.002) and lymphocyte count of less than 500/µL (p=0.004). Recent chemotherapy was associated with better 6-month survival rates (78.8% vs 89.9%, p=0.012) in patients with active cancer, patients with solid cancers (95.9% vs 82.2%, p=0.006) and was non-inferior in patient with hematological neoplasms (72% vs 65.4%, p=0.519).  Conclusion: COVID-19 infection in our cancer patients was associated with significant morbidity and mortality and adversely affected their treatment. The decision to delay or discontinue SACT should be individualized, considering other risk factors for mortality.

Association between adult attachment style, communication patterns and caregiver burden in parents of children with solid tumors: A cross-sectional study

PURPOSE

The primary purpose of this cross-sectional study was to delve into the connections among adult attachment styles, communication patterns, and caregiver burden within the sample of parents caring for children diagnosed with solid tumors.

METHODS

A sample of 456 parents responsible for the care of children with solid tumors was conveniently recruited from a pediatric oncology ward at a tertiary hospital from September 2021 to September 2022. The data collection process included a questionnaire on general information, the Caregiver Burden Inventory, the Adult Attachment Questionnaire Short Form, and the Communication Pattern Questionnaire.

RESULTS

The findings demonstrated a strong and positive connection between caregiver burden and attachment avoidance, whereas no considerable association was observed for attachment anxiety. Attachment avoidance exhibited a positive link with communication patterns and caregiver burden, and a noteworthy inverse correlation with attachment anxiety. Additionally, communication patterns were uncovered as a mediator in the association between attachment avoidance and caregiver burden.

CONCLUSIONS

This study underscores the role of communication patterns as mediators between attachment avoidance and caregiver burden among parents of children with solid tumors. These outcomes emphasize the significance of considering attachment styles and communication patterns when comprehending caregiver burden, and can guide the development of targeted interventions to provide support for parents within this challenging context.

Protecting vulnerable patient populations from climate hazards: the role of the nation's cancer centers

Individuals diagnosed with cancer are a vulnerable population during disasters. Emergency preparedness efforts are crucial for meeting the health and safety needs of patients, health-care professionals, health-care facilities, and communities before, during, and after a disaster. Recognizing the importance of advancing emergency preparedness expertise to cancer control efforts nationwide, especially in the era of climate change, we searched National Cancer Institute-designated cancer centers' websites to examine emergency preparedness information sharing and evidence of research efforts focused on disaster preparedness. Of 71 centers, 56 (78.9%) presented some emergency preparedness information, and 36 (50.7%) presented information specific to individuals diagnosed with cancer. Only 17 (23.9%) centers provided emergency preparedness information for climate-driven disasters. Informed by these data, this commentary describes an opportunity for cancer centers to lead knowledge advancement on an important aspect of climate change adaptation: disaster preparedness.

Timing of BNT162b2 vaccine prior to COVID-19 infection, influence disease severity in patients with hematologic malignancies: Results from a cohort study

The COVID-19 pandemic continues to pose challenges to the treatment of hemato-oncology patients. Emergence of COVID-19 variants, availability of vaccine boosters and antiviral treatments could impact their outcome. We retrospectively studied patients with hematologic malignancies and confirmed COVID-19 during the Omicron outbreak. Of 116 evaluated patients, 16% developed severe or critical COVID-19. Diagnosis of chronic lymphocytic leukemia (CLL) was significantly associated with severe COVID-19 (p = 0.01). The vaccine effectiveness was related to the timing of the vaccine, with patients who received a mRNA vaccine within 7-90 days prior to COVID-19 being less likely to develop severe disease compared to all other patients (p = 0.019). There was no correlation between disease severity and antiviral therapies. Importantly, 45% of patients undergoing active hematological treatment had to interrupt their treatment due to COVID-19. In conclusion, patients with hematologic malignancies are at a considerable risk for severe COVID-19 during the Omicron outbreak, with patients with CLL being the most vulnerable. mRNA vaccines have the potential to protect hematological patients from severe COVID-19 if administered within the previous 3 months. Hematological treatment interruption is a frequent adverse outcome of COVID-19 infection.

Cancer outpatients during the COVID-19 pandemic: what Oncoral has to teach us about medical drug use and the perception of telemedicine

PURPOSE

The COVID-19 pandemic has disrupted healthcare access and telemedicine has been widely deployed. The aim of this study is to assess the impact of this health crisis on treatment consumption and telemedicine development in outpatients treated by oral anti-cancer agents and followed by the Oncoral hospital/community multidisciplinary program where continuity care is maintained by a pharmacist/nurse pair.

METHODS

A prospective monocentric study was conducted among cancer patients who received Oncoral telephone follow-up during the 1st lockdown in France using a 56-item questionnaire which covered sociodemographic data, patient medication management, and telehealth.

RESULTS

178 patients received Oncoral follow-up during the 1st lockdown and 67.4% responded to the questionnaire. During lockdown, 9.2% of patients took medication or CAM for fatigue, 6.7% for mood alteration, 10.8% for sleep disorder, 11.7% for stress and anxiety, and 12.5% to get more energy. Homeopathy consumption was triggered by the pandemic. Habits about getting drugs from the pharmacy changed significantly (p < 0.001), while other treatment habits did not. 83% of patients were satisfied by the telephone follow-up established, 69% would be in favor of repeating this in case of a new epidemic wave. Those most in favor of using telemedicine seemed to be the youngest (p < 0.001), with several dependent children (p < 0.007), high school degree or higher education (p = 0.023), and in work (p < 0.001).

CONCLUSION

Health system reorganization enables to limit the impact of the crisis on patients' drug use in oncology care. Telemedicine is a promising public health tool.

Outcomes of breakthrough COVID-19 infections in patients with hematologic malignancies

Patients with hematologic malignancies have both an increased risk for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and higher morbidity/mortality. They have lower seroconversion rates after vaccination, potentially leading to inferior coronavirus disease 2019 (COVID-19) outcomes, despite vaccination. We consequently evaluated the clinical outcomes of COVID-19 infections in 243 vaccinated and 175 unvaccinated patients with hematologic malignancies. Hospitalization rates were lower in the vaccinated group when compared with the unvaccinated group (31.3% vs 52.6%). However, the rates of COVID-19-associated death were similar at 7.0% and 8.6% in vaccinated and unvaccinated patients, respectively. By univariate logistic regression, females, older patients, and individuals with higher modified Charlson Comorbidity Index scores were at a higher risk of death from COVID-19 infections. To account for the nonrandomized nature of COVID-19 vaccination status, a propensity score weighting approach was used. In the final propensity-weighted model, vaccination status was not significantly associated with the risk of death from COVID-19 infections but was associated with the risk of hospitalization. The predicted benefit of vaccination was an absolute decrease in the probability of death and hospitalization from COVID-19 infections by 2.3% and 22.9%, respectively. In conclusion, COVID-19 vaccination status in patients with hematologic malignancies was associated with a decreased risk of hospitalization but not associated with a decreased risk of death from COVID-19 infections in the pre-Omicron era. Protective strategies, in addition to immunization, are warranted in this vulnerable patient population.

Assessment of the Prevalence of Infections in Pediatric Patients With Acute Lymphoblastic Leukemia

Infections cause notable treatment-related morbidity during pediatric acute lymphoblastic leukemia/lymphoma (ALL/LLy) therapy. Infections are the most critical cause of morbidity and mortality in children undergoing treatment for acute lymphoblastic leukemia (ALL). Children with ALL, who are frequently underweight, are at increased risk of community-acquired pathogens, nosocomial multidrug-resistant pathogens, and opportunistic microorganisms. A weakened immune system from ALL itself and chemotherapy's side effects further worsen the prognosis. PubMed and Google Scholar articles were curated in a Google document with shared access. Discussion and development of the paper were achieved over Zoom meetings. This narrative review aims to analyze and summarize various pathogens responsible for infections in children receiving treatment for ALL and their treatment regimen and prophylaxis. The incidence of viral infection is higher in ALL patients, followed by bacterial and fungal infections. Prevention via prophylaxis and timely initiation of treatment is essential for positive outcomes.

Patients with chronic myeloid leukemia and coronavirus disease 2019 in the Omicron era

To explore the prevalence and severity of COVID-19 and the mental health during the Omicron pandemic in patients with chronic myeloid leukemia (CML), a cross-sectional survey from 2609 respondents with CML was performed. A total of 1725 (66%) reported that they had COVID-19 during this period. Among them, 1621 (94%) were mild; 97 (6%), moderate; 7 (0.4%), severe; and 0, critical or death. Four hundred three (15%), 199 (8%), and 532 (20%) had moderate to severe depression, anxiety, and distress, respectively. Eight hundred ninety (34%), 667 (26%), and 573 (22%), avoidance, intrusion, and hyper-arousal, respectively. In multivariate analyses, longer TKI-therapy duration was significantly associated with a lower prevalence of COVID-19 (odds ratio [OR] = 0.98; 95% confidence interval [CI], 0.95, 0.99; p = 0.043); however, living in urban areas (OR = 1.6 [1.3, 2.0]; p < 0.001) and having family members with COVID-19 (OR = 18.6 [15.1, 22.8]; p < 0.001), a higher prevalence of COVID-19. Increasing age (OR = 1.2 [1.1, 1.4]; p = 0.009), comorbidity(ies) (OR = 1.7 [1.1, 2.7]; p = 0.010), and multi-TKI-resistant patients receiving 3rd-generation TKIs or investigational agents (OR = 2.2 [1.2, 4.2]; p = 0.010) were significantly associated with moderate or severe COVID-19. Female, comorbidity(ies), unvaccinated, and moderate or severe COVID-19 were significantly associated with almost all adverse mental health consequences; increasing age or forced TKI dose reduction because of various restriction during the pandemic, moderate to severe distress, avoidance, or intrusion; however, mild COVID-19, none or mild anxiety, distress, avoidance, or intrusion. In conclusion, shorter TKI-therapy duration, increasing age, comorbidity(ies), or multi-TKI-resistant patients receiving 3rd-generation TKIs or investigational agents had a higher prevalence of COVID-19 or higher risk of moderate or severe disease in patients with CML; increasing age, female, comorbidity(ies), forced TKI dose reduction due to the pandemic, moderate or severe COVID-19, unvaccinated, a higher likelihood of worse mental health.

Immunogenicity of COVID-19 vaccines in lung cancer patients

OBJECTIVE

Patients with lung cancer are at increased risk of SARS-CoV-2 infection and severe complications from COVID-19, but information on the efficacy of anti-SARS-CoV-2 vaccine in these patients is scarce. We aimed at evaluating the safety and immunogenicity of COVID-19 vaccines in this population.

PATIENTS AND METHODS

The prospective, nationwide SOLID substudy, enrolled adults with lung cancer who were fully vaccinated against COVID-19. Serum anti-SARS-CoV-2 IgG antibody levels were quantitatively assessed two weeks and six months after receipt of the last dose using a chemiluminescent microparticle immunoassay. Multivariate odds ratios for the association between demographic and clinical factors and seronegativity after vaccination were estimated.

RESULTS

1973 lung cancer patients were enrolled. Most patients had stage IV disease (66%) and were receiving active cancer treatment (82.7%). No significant differences were found in the probability of being seronegative for anti-SARS-CoV-2 IgG antibodies after full vaccination between patients who were receiving active cancer treatment and those who were not (p = 0.396). The administration of immunotherapy or oral targeted therapy and immunization with mRNA-1273 COVID-19 vaccine were factors independently associated with increased odds of being seropositive after vaccination. From all patients, 1405 received the second dose of vaccine and high levels of antibody titers were observed in 93.6% of patients two weeks after second dose. At six months, multivariate logistic regression analysis showed that performance status ≥ 2 was independently associated with a higher probability of being seronegative after full vaccination with an OR 4.15. On the other hand, received chemotherapy or oral target therapy and vaccination with mRNA-1273 were a factor independently associated with lower odds of being seronegative after full vaccination with an OR 0.52, 0.37 and 0.34, respectively.

CONCLUSIONS

Lung cancer patients can safely achieve a strong immune response against SARS-CoV-2 after full vaccination, regardless of the cancer treatment received.

TRIAL REGISTRATION

NCT04407143.

Mortality of COVID-19 in patients with hematological malignancies versus solid tumors: a systematic literature review and meta-analysis

Cancer patients are more vulnerable to COVID-19 compared to the general population, but it remains unclear which types of cancer have the highest risk of COVID-19-related mortality. This study examines mortality rates for those with hematological malignancies (Hem) versus solid tumors (Tumor). PubMed and Embase were systematically searched for relevant articles using Nested Knowledge software (Nested Knowledge, St Paul, MN). Articles were eligible for inclusion if they reported mortality for Hem or Tumor patients with COVID-19. Articles were excluded if they were not published in English, non-clinical studies, had insufficient population/outcomes reporting, or were irrelevant. Baseline characteristics collected included age, sex, and comorbidities. Primary outcomes were all-cause and COVID-19-related in-hospital mortality. Secondary outcomes included rates of invasive mechanical ventilation (IMV) and intensive care unit (ICU) admission. Effect sizes from each study were computed as logarithmically transformed odds ratios (ORs) with random-effects, Mantel-Haenszel weighting. The between-study variance component of random-effects models was computed using restricted effects maximum likelihood estimation, and 95% confidence intervals (CIs) around pooled effect sizes were calculated using Hartung-Knapp adjustments. In total, 12,057 patients were included in the analysis, with 2,714 (22.5%) patients in the Hem group and 9,343 (77.5%) patients in the Tumor group. The overall unadjusted odds of all-cause mortality were 1.64 times higher in the Hem group compared to the Tumor group (95% CI: 1.30-2.09). This finding was consistent with multivariable models presented in moderate- and high-quality cohort studies, suggestive of a causal effect of cancer type on in-hospital mortality. Additionally, the Hem group had increased odds of COVID-19-related mortality compared to the Tumor group (OR = 1.86 [95% CI: 1.38-2.49]). There was no significant difference in odds of IMV or ICU admission between cancer groups (OR = 1.13 [95% CI: 0.64-2.00] and OR = 1.59 [95% CI: 0.95-2.66], respectively). Cancer is a serious comorbidity associated with severe outcomes in COVID-19 patients, with especially alarming mortality rates in patients with hematological malignancies, which are typically higher compared to patients with solid tumors. A meta-analysis of individual patient data is needed to better assess the impact of specific cancer types on patient outcomes and to identify optimal treatment strategies.

COVID-19 Infection despite Previous Vaccination in Cancer Patients and Healthcare Workers: Results from a French Prospective Multicenter Cohort (PAPESCO-19)

In a multicenter prospective cohort of cancer patients (CP; n = 840) and healthcare workers (HCWs; n = 935) vaccinated against COVID-19, we noticed the following: i/after vaccination, 4.4% of HCWs and 5.8% of CP were infected; ii/no characteristic was associated with post-vaccine COVID-19 infections among HCWs; iii/CP who developed infections were younger, more frequently women (NS), more frequently had gastrointestinal, gynecological, or breast cancer and a localized cancer stage; iv/CP vaccinated while receiving chemotherapy or targeted therapy had (NS) more breakthrough infections after vaccination than those vaccinated after these treatments; the opposite was noted with radiotherapy, immunotherapy, or hormonotherapy; v/most COVID-19 infections occurred either during the Alpha wave (11/41 HCW, 20/49 CP), early after the first vaccination campaign started, or during the Omicron wave (21/41 HCW, 20/49 CP), more than 3 months after the second dose; vi/risk of infection was not associated with values of antibody titers; vii/the outcome of these COVID-19 infections after vaccination was not severe in all cases. To conclude, around 5% of our CPs or HCWs developed a COVID-19 infection despite previous vaccination. The outcome of these infections was not severe.

Relative Risk of Death in Bulgarian Cancer Patients during the Initial Waves of the COVID-19 Pandemic

BACKGROUND

The COVID-19 pandemic has led to millions of documented deaths worldwide, with diverse distribution among countries. Surprisingly, Bulgaria, a middle-income European Union member state, ranked highest in COVID-19 mortality. This study aims to assess whether Bulgarian cancer patients experienced a higher relative risk (RR) of death compared to the general Bulgarian population during the pandemic.

MATERIALS AND METHODS

Data from the Bulgarian National Statistical Institute and the Bulgarian National Cancer Registry were analyzed to estimate monthly RR of death in cancer patients compared to the general population before and during the first two years of the pandemic. The impact of the COVID-19 waves and predominant SARS-CoV-2 variants on RR was evaluated on various cancer types and age groups using a multiple linear regression approach.

RESULTS

During the COVID-19 waves, both the general population and cancer patients experienced a significant increase in mortality rates. Surprisingly, the RR of death in cancer patients was lower during pandemic waves. The results from the statistical modeling revealed a significant association between the COVID-19 waves and reduced RR for all cancer patients. Notably, the effect was more pronounced during waves associated with the Alpha and Delta variants. The results also showed varying impacts of the COVID-19 waves on RR when we analyzed subsamples of data grouped depending on the cancer type, age and sex.

CONCLUSIONS

Despite increased overall mortality in Bulgarian cancer patients during the pandemic, the RR of death was lower compared to the Bulgarian general population, indicating that protective measures were relatively effective in this vulnerable group. This study underscores the importance of implementing and encouraging preventive measures, especially in cancer patients, to mitigate the impact of future viral pandemics and reduce excess mortality.