To explore the potential impact of the coronavirus disease 2019 (COVID-19) pandemic on the epidemiology of small-cell lung cancer (SCLC).

SCLC patients were collected from the Surveillance, Epidemiology, and End-Results (SEER) database (diagnosed between 2018 and 2021) and grouped according to the timing of the COVID-19 pandemic. Intergroup comparisons and survival analyses were performed on clinicopathologic characteristics and survival data to explore the differences in morbidity characteristics and survival in SCLC patients before and after the pandemic.

SCLC Patients diagnosed in the post-COVID-19 pandemic tended to have earlier tumor stage, receive chemotherapy (OR 1.14, 95% CI 1.02-1.27, P-value = 0.02) rather than radiotherapy (OR 0.89, 95% CI 0.84-0.96, P-value < 0.01), and have increased time to treatment delay. Balancing follow-up time and constructing improved survival curves, patients with SCLC diagnosed after the pandemic tended to have a worse prognosis.

Differences in some clinicopathologic factors and treatment choices, or the pandemic itself, may result in a tendency for patients with SCLC diagnosed after the pandemic to have a worse prognosis, alerting clinicians to the need to focus on the management and treatment of this population.

Pembrolizumab is used as a first-line treatment of non-small cell lung cancer. Pneumonitis and interstitial lung disease are among the most common immune-related adverse events. The impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections on patients with cancer treated with chemotherapy or immune checkpoint inhibitors (ICIs) is not fully known. Blocking immune checkpoints may conversely augment dysfunctional T-cell responses in severe patients and, in turn, mediate immunopathology. Here, we present a case of SARS-CoV-2 infection complicated by acute respiratory distress syndrome (ARDS) and a fibrotic-like pattern in a patient treated with pembrolizumab for lung cancer. The patient showed a dramatic clinical and radiological response after steroid therapy. Further research is needed to better understand the long-term implications of pembrolizumab therapy in patients recovering from coronavirus disease 2019 (COVID-19) and to develop evidence-based guidelines for managing these complex cases. Patients undergoing oncologic immunotherapy might benefit from early high-dose steroid treatment in cases of viral infections, such as SARS-CoV-2.

Due to the potential occurrence of drug interactions, the combined application of firmonertinib and paxlovid carries a relatively high risk. Nevertheless, as of now, there has been no comprehensive research on the interaction between firmonertinib and paxlovid. Our aim was to establish and validate an accurate, stable, rapid and simple UPLC-MS/MS method for the simultaneous determination of firmonertinib and its metabolite AST-5902 in rat plasma, which was applied to the study of the in vivo interaction between firmonertinib and paxlovid. Gefitinib was selected as the internal standard. After protein precipitation of the plasma samples with acetonitrile, the separation was carried out on a Shimadzu LC-20AT UHPLC. The chromatographic column was a Shim-pack Volex PFPP column (50 mm × 2.1 mm, 1.8 μm), and the mobile phase was composed of 0.1% formic acid - water and 0.1% formic acid - methanol. Mass spectrometry detection was performed using a Shimadzu 8,040 mass spectrometer in ESI+ and MRM mode. The precision, accuracy, recovery and matrix effect of this method were detected. The linearity of the method and the stability of the samples were assessed. Subsequently, the method was applied to the study of the interaction between firmonertinib and paxlovid. The parent ions and typical fragment ions of firmonertinib, AST-5902 and IS are respectively m/z 569.25 → 72.15, m/z 555.50 → 498.10 and m/z 447.25→ 128.20. The selectivity, specificity, linearity, recovery, matrix effect, accuracy and precision of the method and the stability of the samples were all adequately verified. The results of drug interaction showed that when firmonertinib was combined with paxlovid, the AUC and Cmax of firmonertinib were significantly increased, while the AUC, Tmax, and Cmax of AST-5902 were significantly decreased. The established UHPLC-MS/MS detection method is accurate, stable, rapid and simple. Paxlovid exhibit a significant inhibitory effect on the metabolism of firmonertinib in rats.

Background/objectives: Cancer patients are more vulnerable to SARS-CoV-2 infection and COVID-19 due to their immunocompromised status. This study aims to evaluate the risk of SARS-CoV-2 infection, as well as COVID-19 prevalence and mortality, in cancer patients during the first wave of the COVID-19 pandemic in a virus epicenter of Northern Italy. Methods: This retrospective analysis included 40,148 prevalent cancer patients from the province of Parma, Italy, between February and June 2020. Patients were identified from health system records and classified by cancer subtype, treatment status, and COVID-19 diagnosis. The risk of infection and mortality was analyzed using odds ratios (OR) and hazard ratios (HR). Results: Among cancer patients, those on active cancer treatment had a higher cumulative risk of all-cause death (HR 1.83, p < 0.000268). Cancer subtype significantly impacted COVID-19 outcomes, with breast cancer patients showing lower incidence and mortality compared to those with lung, colorectal, or bladder cancers. Conclusions: Cancer patients, especially those on active treatment, are at increased risk of COVID-19 infection and death. Tailored prevention strategies, including prioritization of vaccination and careful management of cancer treatments, are crucial to mitigate risks during pandemics. These findings provide valuable insights for clinical decision-making in oncological care during public health crises.

The COVID-19 pandemic is a great burden worldwide, but its impact on patients with genitourinary cancer (GUC) is poorly characterized. This study aimed to characterize the clinical features and evolution of GUC patients affected by COVID-19 in Spain.

SOGUG-COVID-19 was an observational ambispective non-interventional study that recruited patients with SARS-CoV-2 infection who had been treated for GUC in 32 Spanish hospitals. Data were collected from patients' medical records in a short period of time, coinciding with the first waves of COVID-19, when the mortality was also higher in the general population.

From November 2020 to April 2021, 408 patients were enrolled in the study. The median age was 70 years, and 357 patients (87.5%) were male. Most frequent Cancer Origin was: prostate (40.7%), urothelial (31.4%) and kidney (22.1%). Most patients (71.3%) were diagnosed at the metastatic stage, and 33.3% had poorly differentiated histology. Anticancer treatment during the infection was reported in 58.3% of patients, and 21.3% had received immunotherapy prior to or concurrent with the infection. The most frequent COVID-19 symptoms were pyrexia (49.0%), cough (38.2%) and dyspnea (31.9%). Median age was higher for patients with pneumonia (p < 0.001), patchy infiltrates (p = 0.005), ICU admission (p < 0.001) and death (p < 0.001). Tumor stage was associated with complications (p = 0.006). The fatality rate was 19.9% and the 6-month COVID-19-specific survival rate was 79.7%.

Patients with genitourinary cancers seem exceptionally vulnerable to COVID-19 regardless of tumor type or anticancer therapy. Age and tumor stage were the only identified risk factors for severe COVID-19.

Coronavirus disease 2019 (COVID-19) is often associated with thrombosis. Elevated levels of soluble C-type lectin-like receptor 2 (sCLEC-2), a biomarker for platelet activation, have been reported in COVID-19. Therefore, we examined the behavior of sCLEC-2 levels and their relationship with thrombosis.The clinical course of inflammatory and thrombotic biomarkers was assessed in 271 patients with COVID-19.Inflammatory biomarkers such as C-reactive protein, procalcitonin, and presepsin levels were significantly increased in patients with COVID-19, and these behaviors differed among the clinical course or stages. The plasma D-dimer levels increased slightly and gradually. Platelet counts were within the normal range, and plasma sCLEC-2 levels were markedly increased in most patients with COVID-19. There were 17 patients with thrombosis in this study. Although there was no significant difference in various biomarkers between COVID-19 patients with and without thrombosis, the super formula of sCLEC-2xD-dimer/platelet count in patients with thrombosis was significantly higher than in those without thrombosis. Furthermore, this super formula was significantly higher in COVID-19 patients with severe or critical illness than in those with mild or moderate illness.Elevation of the super formula of sCLEC-2xD-dimer/platelet count was associated with the thrombosis in patients with COVID-19 suggesting the thrombosis in COVID-19 may be caused by the development of microthrombosis.

Cancer survivors are more susceptible to contracting COVID-19. However, beyond race, age, and sex, less is known about other neighborhood and psychosocial factors contribute to this increased risk.

The goal of this study was to examine the associations of individual and area-level social determinants of health (SDOH) measures, medical, lifestyle, and psychosocial factors and COVID-19 infection in a statewide cohort of cancer survivors in New Jersey.

Survey data from 864 cancer survivors in New Jersey were collected from 2018 to 2022, which were merged with study participant data from the state of New Jersey on COVID-19 diagnoses in 2020, 2021, and 2022. We estimated adjusted odds ratios (aOR) for associations of COVID-19 diagnosis with individual-level factors (cancer type and stage, health behaviors, and psychosocial factors) and area-level SDOH [Social Vulnerability Index, Area Deprivation Index, and Index of Concentration at the Extremes (ICE) to quantify racialized deprivation vs. privilege based on income].

Cancer survivors born outside the US were more than twice as likely to contract COVID-19 compared to US-born survivors (aOR 2.29, 95% CI 1.01, 4.92). Compared to Quartile 4, residence in an area in Quartile 1 of racialized income ICE (i.e., predominantly Black, low income) was associated with higher odds of COVID-19 (aOR 2.15, 95% CI 0.98, 4.87). Retired survivors had lower odds of COVID-19 (aOR 0.39, 95% CI 0.19, 0.80) compared to those who were employed. Higher social well-being was associated with higher COVID-19 (aOR 1.07, 95% CI 1.02, 1.13). Type of cancer and cancer treatments received were not associated with the risk of COVID-19.

Immigrant status and increased racialized deprivation as measured by ICE for income were associated with COVID-19. These findings support evidence that individual and area-level SDOH measures contribute to increased risk of COVID-19 among cancer survivors.

The COVID-19 threatened global health, especially for cancer patients. We conducted a bibliometric analysis of the Science Citation Index literature published from 2019 to 2023 on the treatment of cancer patients during the COVID-19 pandemic, and explored the research trends and public interest in this topic.

A total of 4,941 articles in the Web of Science core collection on this topic were retrieved. The online analysis platforms of literature metrology were employed to do statistical analysis of the global annual volume of documents and citation frequency, perform cocitation analysis on authors, journals, and references, draw visual maps for countries or regions cooperation, institutional cooperation, author cooperation, and keyword cooccurrence, and then conduct keyword cluster analysis and keyword bursting.

A total of 298 authors from 103 institutions and 74 countries or regions carried out research in the field, and the number of publications reached a peak in 2022. The United States, China, and Italy were the countries with the highest number of publications. The institutions that published the most papers are universities and research institutions. Keyword analysis showed that the research mainly focused on risk factors, outcomes, mortality, and therapy of cancer patients caused by COVID-19. Breast cancer was the cluster with the widest research scope. In addition to COVID-19, the burst keywords mainly included vaccination, delays, identification, immune response, malignancy, immunogenicity, and efficacy.

The research on the treatment of cancer patients during the COVID-19 has shifted from laboratory research to clinical research, and the focus has gradually shifted from exploring the mechanism to improving the therapeutic effect. Developing vaccines and exploring treatment options that are more suitable for use in cancer patients, and investigating the relevance of the cytokine storms seem to concur with research priorities postpandemic. In the future, strengthening cooperation among countries or regions, institutions, and authors will be crucial for future pandemics.

Cancer significantly contributes to the unfavorable prognosis of coronavirus disease 2019 (COVID-19) patients. The efficacy and safety of azvudine and nirmatrelvir/ritonavir (Paxlovid) in cancer patients with COVID-19 remain uncertain. Therefore, we designed a comprehensive retrospective study encompassing clinical data of 32,864 hospitalized COVID-19 patients, 691 of whom were cancer patients treated with azvudine and 200 were cancer patients treated with Paxlovid. After 2:1 propensity score matching, 397 patients in the azvudine group and 199 patients in the Paxlovid group were enrolled. Cox regression analysis revealed the risk of all-cause death (HR: 1.84, 95% CI: 1.059-3.182, P = 0.030) and composite disease progression (HR: 1.70, 95% CI: 1.043-2.757, P = 0.033) were greater in the Paxlovid group than in the azvudine group. Two sensitivity analyses confirmed the robustness of our findings. The safety analysis of adverse events revealed no statistically significant differences between the two groups. In conclusion, we carried out the first analysis to compare the efficacy and safety of azvudine and Paxlovid in cancer patients with COVID-19 and demonstrated that azvudine significantly reduced the risk of all-cause death and composite disease progression among cancer patients with COVID-19 compared with Paxlovid.

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.

The severity of COVID-19 has varied across regions, with a disproportionately higher case-fatality ratio in developed nations. In India, states with higher income have reported more COVID-19 related deaths compared to lower-income states. Understanding the underlying factors such as demographics, disease burden, urbanization, and sanitation can help in designing better public health policies to mitigate future pandemics. The objective of this study is to identify key predictors of COVID-19 mortality across Indian states by examining the role of disease prevalence, demographics, urbanization, and sanitation. We analysed data from the Global Burden of Diseases India 2019 and the National Health Profile 2019, correlating them with COVID-19 mortality during two peak periods of the pandemic. Spearman correlation analysis and multivariate regression models were employed to determine significant associations and build predictive models for COVID-19 deaths. Our analysis showed a positive correlation between COVID-19 mortality and demographic factors such as the percentage of the elderly population (ρ = 0.44, p < 0.05 for the first peak; ρ = 0.46, p < 0.05 for the second peak). Urbanization was also significantly associated with higher mortality (ρ = 0.71, p < 0.05 for the first peak; ρ = 0.57, p < 0.05 for the second peak). Additionally, the prevalence of autoimmune diseases and cancer correlated positively with deaths. An unexpected finding was the positive correlation between improved sanitation (e.g., closed drainage systems and indoor toilets) and COVID-19 mortality. The best-fit multivariate regression model, combining demographics, sanitation, autoimmune diseases, and cancer, achieved an adjusted R2 of 0.71 for the first peak and 0.85 for the second peak. Our findings suggest that as states become wealthier, they undergo urbanization and infrastructural improvements, including better sanitation. However, these changes may also be associated with a rise in autoimmune diseases and cancer, potentially reducing immune resilience to emerging infections. This study provides novel insights into how improved living conditions and lifestyle changes may paradoxically contribute to increased COVID-19 mortality. By emphasizing the role of immune training in pandemic preparedness, our research offers a new perspective on public health strategies for mitigating future infectious disease outbreaks.

A growing body of data suggests that the prevalence of COVID-19 pneumonia in patients with stomach cancer is much higher than in the general population. However, these mechanisms are still not fully understood. After a thorough examination of shared differentially expressed genes (DEGs) for gastric cancer (GC) and COVID-19 pneumonia, we performed functional annotation, protein-protein interaction (PPI) networks, module design, and pivot gene identification. qPCR was used to verify the expression of hub genes in GC. Finally, a pivotal gene transcription factor-gene regulatory network was created and validated. According to functional enrichment analysis, common genes are mainly enriched in biological processes such as extracellular matrix tissue and extracellular structural tissue. Finally, five genes were found to be pivotal genes in the pathogenesis of GC and COVID-19 pneumonia: BGN (biglycan), UBE2C (ubiquitin-conjugating enzymes 2C), SPP1 (secreted phosphoprotein 1), THBS2 (thrombospondin 2), and COL1A1 (type I collagen alpha 1). These shared pathways and pivotal genes could provide new insights for more mechanistic studies.

To study the safety of resuming antitumor therapy in tumor patients infected with COVID-19.

We collected the clinical information of patients with tumors who were infected with COVID-19 and resume antitumor therapy between December 2022 and June 2023. Information about antitumor therapy, COVID-19-related symptoms, laboratory tests, antitumor therapy-related adverse events (AEs), and re-infection with COVID-19 were recorded. Primary endpoints included the incidence of AEs and re-infection of COVID-19. The secondary endpoints included the incidence and duration of COVID-19 related symptoms.

The most common COVID-19 symptoms were fever (39.5%), cough (37.2%), and fatigue (44.2%). Most patients' symptoms lasted no more than a week Two patients were re-infected with COVID-19. All-grade AEs with an incidence rate > 10% included anemia, increased gamma-glutamyl transferase (GGT), anorexia, neutropenia, hypocalcemia, leukopenia, thrombocytopenia, increased alanine aminotransferase, increased aspartate aminotransferase, hypokalemia, hyponatremia, and nausea. Grade 3-4 AEs with an incidence rate higher than 5% included anemia, neutropenia, leukopenia, thrombocytopenia, anorexia, and vomiting. The incidence of AEs before and after COVID-19 infection did not show a significant difference.

Resuming antitumor therapy early after SARS-CoV-2 test turned negative did not increase antitumor therapy-related AEs or the incidence of re-infection in COVID-19 infection patients.

Cancer patients are considered to have a higher risk of developing severe Coronavirus Disease 2019 (COVID-19) and a higher mortality rate. Moreover, poor prognosis observed in them is associated with multiple co-morbidities. Ayurveda can prove to be effective in preventing COVID-19 as well as improving clinical outcomes against COVID-19 in cancer patients.

To evaluate the effect of Ayurvedic treatments given to cancer patients as also a preventive modality against COVID-19 infections.

700 cancer patients were enrolled in the study. The demographic information regarding their age, sex, organs involved, stage, pre-existing comorbidities, Karnofsky score, addictions, undergoing conventional cancer treatment, type of conventional treatment, and duration of Ayurvedic cancer treatment was collected from the institutional records. These patients were interviewed telephonically or in person to obtain information related to their COVID-19 status from March 2020 to Sep 2021, which included a) whether they were affected with COVID-19 or not, b) If affected, the severity of COVID-19 symptoms, c) vaccination status, d) mortality, and e) if in contact with relative affected by COVID-19.

The surveyed cohort had 56 years as the median age, more female patients, Karnofsky score between 80 and 100, and hypertension as well as diabetes as major co-morbidities. During the 1st and 2nd waves, 34 (4.85%) and 65 patients (10.09 %) were COVID-19 positive while 4.91 % and 11.11% of patients with addictions were covid positive, respectively, the rest remained unaffected. There was no specific trend in % of COVID-19-positive cancer patients concerning stage, but those with stage IV undergoing conventional treatment showed increased prevalence (p < 0.001). Prolonged Ayurvedic treatment exhibited a decreasing trend in % COVID-19 positive patients, which is highly significant (p < 0.001). Specifically, those undergoing conventional therapy, and also received Ayurvedic treatment simultaneously for more than 3 years remained unaffected by COVID-19, which was statistically significant in both waves (p < 0.001).

Ayurvedic treatments given to cancer patients are effective in preventing COVID-19 infections in these patients.

The Coronavirus Disease 2019 (COVID-19) pandemic modified the organization of cancer care pathways worldwide. Few prospective long-term data assessing these therapeutic modifications are available.

Clin-COVIDICA was a prospective cohort aiming at determining the clinical impact of COVID-19-related therapeutic modifications in patients with digestive cancer in our center. All consecutive patients undergoing an oncologic treatment for a digestive cancer from March 1 to April 30, 2020, were enrolled in the cohort and followed-up for 24 months. The primary endpoint was progression-free survival (PFS). Secondary endpoints included COVID-19 rate, adverse events (AE) and overall survival (OS). Survival curves were estimated using the Kaplan-Meier method and compared by the log-rank test.

Of the 401 patients included, 39.6% were female, mean age was 68 years old and most frequent tumor were colorectal (50.0%) and pancreatic (17.9%) cancers. All in all, 55 patients (13.7%) have undergone therapeutic modifications. The most frequent were a switch to an oral drug (capecitabine, 30.9%), treatment holidays (29.1%) and treatment cancellation (18.2%). Considering patients with palliative treatment (n = 339), there was a non-significant trend for longer OS (52.0 months versus 36.4 months, p = 0.07) and a significant longer PFS (15.4 months versus 6.2 months, p = 0.009) in patients with therapeutic modifications. There were more all grades AEs in patients without therapeutic modifications (84.4% vs. 65.5%, p = < 0.001), but more severe AEs (grade 3-5) among patients with therapeutic modifications (18.2% versus 8.7%, p = 0.048), especially for patients with a switch to an oral drug, which resulted in 8 severe adverse events and one death. Six patients (1.5%) had a COVID-19, with one COVID-19-related death and one definitive cancellation of a curative surgery due to the consequences of COVID-19.

We observed no negative survival impact of therapeutic modifications due to the COVID-19 pandemic in digestive cancer management. This may be due to the selection of patients with less aggressive disease. More severe AEs were observed upon therapeutic modifications, especially switching to oral capecitabine.

Clinicaltrials.gov: NCT04389684; date of registration (15/05/2020).

In the study, it was aimed to determine the experiences of elderly COVID-19 patients hospitalized in intensive care units. The study was conducted based on the phenomenological design, one of the qualitative research methods. In-depth interviews were conducted using a semi-structured interview form with 15 participants, who were determined by the homogeneous and criterion sampling methods, two of the purposive sampling methods. Data were analyzed using Colaizzi's seven-step method. After the interviews, four themes were determined: intensive care experiences, importance of nursing care, intensive care environment and coping mechanisms related to COVID-19 disease, and post-intensive care realizations. In addition, 13 sub-themes were determined. This study provided a better understanding of the psychological experiences of elderly individuals during the disease, who have been hospitalized in intensive care unit and survived COVID-19.

COVID-19 encompasses a wide clinical spectrum, from mild influenza-like illness to severe pneumonia and systemic complications. There is emerging literature on hepatobiliary involvement in COVID-19, especially elevation in liver enzymes as surrogate markers of liver injury. Angiotensin-converting enzyme 2 receptors within the hepatobiliary system are a portal of entry for SARS-CoV-2, after which injury may be perpetuated through hypoxia and cytokine storms. This literature review covers studies published before 2024 from databases such as PubMed, Google Scholar, Springer, and BMC Library. The keywords used were "COVID-19", "liver", "SARS-CoV-2", "chronic liver disease", and other relevant terms to ensure a wide scope of investigation. The most common liver enzymes elevated among COVID-19 patients include aspartate transaminase, alanine transaminase, and alkaline phosphatase, all of which are associated with the severity of the disease. Chronic liver disease (CLD) and hepatocellular carcinoma (HCC) patients have worse outcomes with increased ICU admission rates and increased mortality. COVID-19 vaccination in CLD and liver transplant recipients is very often associated with suboptimal antibody responses, adding to the risks. SARS-CoV-2 causes liver involvement through direct viral cytopathic effects, immune-mediated injury, and systemic hypoxia. Individuals with CLD are particularly vulnerable to severe illness.

Cancer and cancer treatments can weaken the body's immune system, making cancer patients particularly vulnerable to COVID-19. While evidence suggests that cancer patients may be at increased risk for severe outcomes after COVID-19 infection, there is a lack of population-based studies comparing long COVID prevalence between cancer survivors and non-cancer individuals.

We utilized data from the 2022 Behavioral Risk Factor Surveillance System (BRFSS), analyzing a sample of 120,658 U.S. adults who had tested positive for COVID-19. Long COVID was defined as the presence of COVID-19 symptoms lasting three months or longer. The weighted prevalence of long COVID was compared between cancer survivors and non-cancer individuals. Crude and adjusted odds ratios (ORs) with 95 % confidence intervals (CIs) were calculated. Multiple imputation was employed to address missing data on COVID-19 vaccination.

Among 17,362 cancer survivors who tested positive for COVID-19, 4009 reported having long COVID (weighted prevalence = 24.0 %), compared to a weighted prevalence of 21.6 % in non-cancer individuals (p < 0.001). After controlling for covariates and accounting for the complex sampling design, the adjusted OR was 1.17 (95 % CI = 1.06-1.30, p = 0.002). In participants under 45 years old, cancer survivors had a notably higher prevalence of long COVID compared to non-cancer individuals (32.1 % vs. 21.3 %, p < 0.001), with an adjusted OR of 1.33 (95 % CI = 1.07-1.66, p = 0.012). In participants aged 45 and above, the prevalence difference was not significant (22.7 % vs. 21.9 %, p = 0.324), with an adjusted OR of 1.14 (95 % CI = 1.02-1.27, p = 0.024). Regarding the association of COVID-19 vaccination with long COVID, four or more doses were linked to a significant reduced odds of long COVID among cancer survivors (adjusted OR=0.55, 95 %CI = 0.34-0.88, p = 0.013).

Cancer survivors are observed to have higher odds of developing long COVID, particularly younger survivors. The association of COVID-19 vaccination with long COVID varies between cancer survivors and non-cancer individuals, with cancer survivors requiring more doses to achieve significant reduction in the odds of long COVID.

Background: The COVID-19 pandemic has caused widespread disruptions in oncology care, significantly affecting both the quality of life (QoL) and mental health of cancer patients. This study aimed to evaluate the long-term impacts of the pandemic on oncology patients, focusing on the periods before, during, and after the pandemic. Objective: The objective of this study was to assess the changes in QoL, illness acceptance, and mental health indicators, including the risk of depression, generalized anxiety, elevated stress levels, and post-traumatic stress disorder (PTSD) among oncology patients, comparing these factors across the pre-pandemic, pandemic, and post-pandemic periods. Material and Methods: This study included 2000 oncology patients, divided into three cohorts based on the time of assessment: pre-pandemic (2019, n = 600), during the pandemic (2020-2021, n = 800), and post-pandemic (2023, n = 600). This study included a balanced sample of 52% female and 48% male participants, with a mean age of 58 years (SD = 11.9), representing a wide range of cancer types including breast (25.7%), lung (20.9%), and colorectal cancer (14.8%). Additional demographics showed a mean BMI of 25.8, with varied educational levels, marital statuses, income levels, and lifestyle factors such as smoking and alcohol consumption. QoL was assessed using the EORTC QLQ-C30, while the Hospital Anxiety and Depression Scale (HADS) was used to measure depression and anxiety. The PTSD Checklist for DSM-5 (PCL-5) was used to evaluate PTSD symptoms, and stress levels were measured with the Perceived Stress Scale (PSS). Statistical analyses were conducted using ANOVA and chi-square tests to assess differences between the groups. Results: During the pandemic, the prevalence of depression symptoms rose significantly, from 15% pre-pandemic to 32% (p < 0.001), while the risk of generalized anxiety increased from 18% to 40% (p < 0.001). Stress levels also saw a sharp rise, with 45% of patients reporting elevated stress during the pandemic compared to 22% before (p < 0.001). The rate of PTSD symptoms increased from 10% pre-pandemic to 28% during the pandemic (p < 0.001). QoL scores dropped markedly, with the mean EORTC QLQ-C30 global health status score decreasing by 25% during the pandemic (p < 0.01). Illness acceptance declined, with 60% of patients reporting poor acceptance during the pandemic, compared to 35% before. In the post-pandemic period, a slight improvement was observed across all measures. Depression levels dropped to 28% (p < 0.05 compared to the pandemic period), and anxiety levels decreased to 35% (p < 0.05). Stress and PTSD symptoms also showed modest reductions, with 38% reporting elevated stress and 22% exhibiting PTSD symptoms (p < 0.05). However, these post-pandemic values remained significantly higher than pre-pandemic levels (p < 0.001). QoL improved marginally, with a 10% increase in the global health status score compared to the pandemic period, though it remained lower than pre-pandemic scores (p < 0.05). Conclusions: The COVID-19 pandemic had a profound impact on the mental health and QoL of oncology patients, with significant increases in depression, anxiety, stress, and PTSD symptoms, along with a decrease in QoL and illness acceptance. While post-pandemic recovery trends are apparent, the psychological burden remains elevated compared to pre-pandemic conditions. These findings highlight the need for continued mental health support and interventions for oncology patients, even after the immediate pandemic effects have subsided.

Viral mutations and immune dysfunction still lead to recurrent infections of COVID-19 in cancer patients. Our aim in this study was to explore the differences in cumulative risk of COVID-19 death from different cancer types and characterise clinical and demographic factors associated with COVID-19 death.

We conducted a population-based study using the National Cancer Database, which included all cancer types. We calculated age-standardised mortality, cancer mortality, and COVID-19 mortality. Further, we employed a multivariate competing risk analysis to calculate the cumulative risk of COVID-19 death in different cancer types.

5.3% of cancer patients suffered from COVID-19 death. The highest COVID-19 mortality was in chronic lymphocytic leukaemia, while lung and bronchus cancer exhibited lower risk. Notably, years from cancer diagnosis independently predict COVID-19 death. The hazard ratios (HR) in different types of cancers were as follows: lung and bronchus cancer HR = 1.29 (95% confidence interval (CI) = 1.20-1.40, P < 0.001), colon and rectum cancer HR = 1.22 (95% CI = 1.16-1.29, P < 0.001), urinary bladder cancer HR = 1.22 (95% CI = 1.15-1.30, P < 0.001), non-Hodgkin lymphoma HR = 1.17 (95% CI = 1.11-1.23, P < 0.001), kidney cancer HR = 1.15 (95% CI = 1.06-1.24, P < 0.001), and breast cancer HR = 1.11 (95% CI = 1.06-1.16, P < 0.001). Radiotherapy, chemotherapy, and surgical resection did not significantly correlate with COVID-19 death.

We revealed the burden of COVID-19 death across different cancer types. COVID-19 mortality was highest in chronic lymphocytic leukaemia and prostate cancer, while patients with lung and bronchus cancer had a lower risk. Years from diagnosis independently predict COVID-19 death. Based on the results, we support more prompt risk assessment and treatment for various types of cancer.

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection is common in children, and clinical manifestations can vary depending on age, underlying disease, and vaccination status. Most children will have asymptomatic or mild infection, but certain baseline characteristics can increase the risk of moderate to severe disease. The following article will provide an overview of the clinical manifestations of coronavirus disease 2019 in children, including the post-infectious phenomenon called multisystem inflammatory syndrome in children. Currently available treatment and prophylaxis strategies will be outlined, with the caveat that new therapeutics and clinical efficacy data are constantly on the horizon.

Treatment modifications adopted during pandemic aimed at reducing infection, myelosuppression, and optimizing hospital resources. This study evaluated outcomes for pediatric patients with ALL who had treatment modifications during pandemic compared to historical cohorts at the National Cancer Institute, Cairo University, Egypt. Bi-directional cohort study included 378 patients. Treatment modifications included omission of specific drugs or adjusting chemotherapy schedules to 6-mercaptopurine/methotrexate. Median follow-up were 45.1 and 43.2 months, for cohorts (A) and (B), respectively. The three-year overall survival were 84.9% and 87.5% (p = .48) and three-year relapse free survival were 82.8% and 86.5% (p = .11) for cohorts (A) and (B), respectively. Infection-related mortality was 11% and 4.4% for cohorts (A) and (B), respectively (p = .03). Treatment modifications adopted during the pandemic did not adversely affect the outcome of patients with ALL and notably reduced infection-related deaths. Longer follow-up is warranted to validate these findings.

The goal of this investigation was to compare the time to biopsy (TBI) and time to treatment (TTI) for head and neck squamous cell carcinoma (HNSCC) patients before and during the COVID-19 pandemic and to examine the effect of demographic and clinical characteristics on these intervals.

Our retrospective study at a large regional Hungarian cancer center analyzed data from patients aged 18 or older diagnosed with HNSCC between 1 January 2017 and 15 March 2020 (pre-COVID-19 period) and 16 March 2020 to 13 May 2021 (COVID-19 period). We calculated the time from initial physician contact to biopsy (TBI) and from biopsy to treatment initiation (TTI) and performed descriptive and exploratory statistical analyses.

The median TBI decreased significantly (6 vs. 3 days; p = 0.008), while the median TTI was not affected significantly (28 vs. 29 days; p = 0.972) pre-pandemic and during the pandemic, respectively. Residence in a village was linked to a significant reduction in median TBI during the pandemic (p = 0.000), coinciding with a higher proportion of rural patients diagnosed with oral cavity/oropharyngeal cancers during the pandemic (50.3% pre-pandemic vs. 67.4% during pandemic, p = 0.044). Median TTI decreased significantly during the pandemic for patients with laryngeal tumors (27.5 vs. 18.5 days; p = 0.012).

Our study, one of a few from this region, provides insights into HNSCC patient waiting times. Improvement in TBI likely resulted from the availability of telemedicine, reduced diagnostic demands from non-cancer patients, and an increased incidence of oral cavity/oropharyngeal cancer among rural patients.

To analyze the clinical and biological characteristics and to evaluate the risk factors associated with the mortality of patients with COVID-19 in Commune IV of the District of Bamako.

The cohort consisted of COVID-19 patients managed from March 2020 to June 2022 at the Bamako Dermatology Hospital and the Pasteur Polyclinic in Commune IV in Bamako. The studied variables were sociodemographic, clinical, and biological. For the analysis of deaths, explanatory variables were grouped into sociodemographic factors, comorbidities and symptoms. Binomial logistic regression models were used to identify mortality associated risk factors.

Among the 1319 included patients, 38.4% were asymptomatic, 46% and 15.5% developed moderate or severe COVID-19 respectively. The predominant signs were cough (48.5%), respiratory difficulty (24.6%) and headache (19.7%). Male were more common (58.2%). High blood pressure (19.9%) and diabetes (10%) were the main comorbidities. D-dimers < 0.5 μg/l was found in 53.3% of cases and the mean hemoglobin level was 12.9 ± 1.7 g/l. The case fatality rate was 3.71% in our series. In bivariate analysis, age > 60 years, high blood pressure, diabetes, clinical severity, D-dimers < 0.5 μg/l were associated with death. Using binomial logistic regression method, age > 60 years, increased heart rate, disease severity level and mainly acute respiratory distress syndrome (polypnea, difficulty breathing) were the factors found associated with death. After adjusting for all the assessed factors, age < 60 years [aHR = 0.15 (0.06-0.35)] and administration of azithromycin [aHR = 0.31 (0.1-0.97)] were protective factors while higher respiratory rate [aHR = 1.14 (1.07-1.22)] and difficulty breathing [aHR = 3.06 (1.03-9.13)] were risk factors associated with death.

These main findings elucidate the factors associated with severity and lethality external of health care system constraints. Advanced age, higher heart rate and the development of respiratory distress were the factors significantly associated with increased fatalities.

The delivery of cancer services changed significantly during the COVID-19 pandemic. This study aimed to describe changes in presentations, assess the change in recommendations by the MDT during the pandemic, and describe the subsequent long-term impact of these changes on survival rates in patients with EG cancer.

A retrospective cohort study was designed comparing three patient groups of those referred to EG MDT in the same 6-month period pre-pandemic (PP;2019) during the initial phase of the pandemic (P1;2020) and the year after the initial phase (P2;2021). The primary aim of this study was to describe and compare deviations from the standard of care across these three timeframes. Secondary outcomes included differences in the number of new cases with early and advanced oesophageal and gastric lesions, a comparison of survival rates among the groups, and an analysis of postoperative histopathology to identify any shifts in the tumour stage across the studied periods.

A consistent demographic profile across these periods was maintained, but with a significant decrease in patient referrals during P1 (35.25% reduction from PP to P1 and 9.5% reduction from PP to P2), quicker 'time to treatment' during P1 (130.8 days in P1 vs 162 in PP and 178.9 in P2), and notable changes in treatment modalities. Additionally, we found an increased deviation from initial curative to palliative intent in the P2 group (6.4% changed in P2 vs 2.2% in PP and 3.5% in P2) primarily driven by disease progression. A further significant observation was the emergence of more aggressive tumour characteristics, particularly in the P2 group, albeit without a statistically significant difference in two-year overall survival rates among the groups (p-value 0.31).

The COVID-19 pandemic significantly impacted oesophagogastric cancer care, with a reduction in patient referral rates during the initial pandemic phase and a subsequent increase in more advanced stage disease. Our findings from a major UK EG centre highlight accelerated treatment decision-making during the initial pandemic phase was possible and that standard of care was maintained. These insights provide valuable lessons for healthcare systems in managing cancer care during global health emergencies.

The outbreak of the COVID-19 pandemic brought unique challenges to the field of healthcare, particularly to the surgical field. This retrospective cohort study aims to compare the risk of surgical site infection (SSI) and secondary infection between colorectal cancer (CRC) patients with a history of COVID-19 infection and those without.

A cohort of 200 CRC patients, comprising 100 with a documented history of COVID-19 infection and 100 without, were retrospectively analyzed. Independent sample t-tests for continuous variables, Chi-square tests for categorical variables, and additionally univariate and multivariate binary logistic regression analysis were performed using IBM SPSS Statistics for Windows, Version 29.0.2 (Released 2023; IBM Corp., Armonk, New York, United States). The data were collected from the medical records of patients treated at the Hernia and Colorectal Surgery department of the Second Affiliated Hospital of Dalian Medical University, Dalian, China. Key clinical variables examined included the incidence of SSIs, occurrence of secondary infections, presence of comorbidities such as diabetes and hypertension, and duration of hospitalization.

The comparative analysis yielded compelling differences between CRC patients with a history of COVID-19 infection and those without. The study revealed a significantly higher incidence of SSI (68.8% vs. 31.3%, p=0.003) and secondary infection (70.1% vs. 29.9%, p<0.001) among patients with a history of COVID-19. In the multivariate analysis for SSIs, hypertension (OR = 2.78, 95%CI: 1.03-7.54, p=0.044) and surgical procedure type (open vs. laparoscopic) (OR = 6.04, 95%CI: 1.88-19.43, p=0.003) were found to be significant independent predictors. Patients with a history of COVID-19 had a significantly higher incidence of secondary infections (70.1% vs. 29.9%, p<0.001), with multivariate analysis showing COVID-19 status (OR: 3.053, 95%CI: 1.515-6.154, p=0.002), hypertension (OR: 2.632, 95% CI: 1.154-6.006, p=0.021), and diabetes mellitus (OR: 4.326, 95%CI: 2.029-9.226, p<0.001) as independent risk factors.

This study highlights significant insight into SSI rates, secondary infection rates, and clinical characteristics between CRC patients with and without a history of COVID-19 infection. The findings underscore that CRC patients with hypertension who underwent open surgery procedures exhibited a higher susceptibility to SSI. Following CRC patients in combination with comorbidities such as hypertension, diabetes, and a history of COVID-19 infection exhibited higher susceptibility to secondary infections. This study contributes to the evolving understanding of the impact of COVID-19 history on surgical outcomes, providing valuable insight to healthcare providers in optimizing care for CRC patients in the context of this ongoing health crisis.

Solid cancer patients, compared to their healthy counterparts, are at a greater risk of contracting and suffering from severe complications and poorer prognosis after COVID-19 infections. They also have different immune responses after doses of COVID-19 vaccination, but limited evidence is available to reveal the effectiveness and help to guide immunization programs for this subpopulation; MEDLINE, Embase, Web of Science, Cochrane Library databases, and clinicaltrials.gov were used to search literature. The pooled seroconversion rate was calculated using a random-effects model and reported with a 95% confidence interval (CI); The review includes 66 studies containing serological responses after COVID-19 vaccination in 13,050 solid cancer patients and 8550 healthy controls. The pooled seropositive rates after the first dose in patients with solid cancer and healthy controls are 55.2% (95% CI 45.9%-64.5% N = 18) and 90.2% (95% CI 80.9%-96.6% N = 13), respectively. The seropositive rates after the second dose in patients with solid cancer and healthy controls are 87.6% (95% CI 84.1%-90.7% N = 50) and 98.9% (95% CI 97.6%-99.7% N = 35), respectively. The seropositive rates after the third dose in patients with solid cancer and healthy controls are 91.4% (95% CI 85.4%-95.9% N = 21) and 99.8% (95% CI 98.1%-100.0% N = 4), respectively. Subgroup analysis finds that study sample size, timing of antibody testing, and vaccine type have influence on the results; Seroconversion rates after COVID-19 vaccination are significantly lower in patients with solid malignancies, especially after the first dose, then shrinking gradually after the following two vaccinations, indicating that subsequent doses or a booster dose should be considered for the effectiveness of this subpopulation.

Hepatocellular carcinoma (HCC) patients with coronavirus disease 2019 (COVID-19) undergoing open surgery show increased adverse events (AEs) and mortality, while the safety of transarterial chemoembolization (TACE) in coinfected patients remains understudied, limiting available evidence. This study aims to investigate the safety of TACE in HCC patients coinfected with COVID-19, and to explore the potential risk factors affecting the occurrence of serious AEs (SAEs), thus providing evidence for clinical treatment strategies in such patients.

This retrospective study involved HCC patients who underwent TACE with or without COVID-19 infection at our institution from November 2022 to February 2023. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was used for the diagnosis of COVID-19. Patients were divided into an infected group (diagnosed with COVID-19 within 2 weeks before or after the procedure) and an uninfected group (tested negative for COVID-19). SAEs were ascertained according to the National Cancer Institute Common Terminology Criteria for Adverse Events (NCI-CTCAE) version 5.0. Logistic regression analysis of multiple clinical factors in preoperative baseline characteristics was performed to identify risk factors that might predict the occurrence of SAEs.

A total of 118 patients (73 in the infected group, 45 in the uninfected group) were included, of whom 83.9% were male (86.3% in the infected group vs. 80.0% in the uninfected group) and the median age was 55.9±12.4 years (56.8±12.3 vs. 54.5±12.7 years). The clinical spectrum of COVID-19 in the infected group were 80.8% mild, 13.7% moderate, 1.4% severe and 4.1% critical. Sixteen of the 118 patients experienced SAEs (19.2% vs. 4.4%, P=0.046). The predominant SAEs were respiratory system diseases (9.6% vs. 0.0%) and liver damage (2.7% vs. 2.2%). In the univariate analysis, infection status [odds ratio (OR): 5.102, P=0.04, 95% confidence interval (CI): 1.102-23.627], gender (OR: 2.857, P=0.09, 95% CI: 0.862-9.468), age (OR: 1.061, P=0.03, 95% CI: 1.007-1.118) and clinical spectrum of COVID-19 (OR: 4.259, P<0.001, 1.943-9.336) were considered as the potential risk factors of grade ≥3 AEs. In multivariate analysis, younger age (OR: 1.064, P=0.044, 95% CI: 1.002-1.131) and a milder clinical spectrum of COVID-19 (OR: 5.736, P=0.004, 95% CI: 1.772-18.568) were independent factors associated with a lower occurrence of SAEs.

TACE in HCC patients co-infected with COVID-19 was considered relatively safe. Age and clinical spectrum of COVID-19 were associated with SAEs in HCC patients treated with TACE.

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

Angiotensensin-converting enzyme-2 (ACE2) is a receptor for SARS-CoV-2, allowing the virus to enter cells. Although tumor patients infected by SARS-CoV-2 often have a worse outcome, the expression, function and clinical relevance of ACE2 in tumors has not yet been thoroughly analyzed. In this study, RNA sequencing (RNA-seq) data from tumors, adjacent tissues and whole blood samples of COVID-19 patients from genome databases and from tumor cell lines and endothelial cells infected with different SARS-CoV-2 variants or transfected with an ACE2 expression vector (ACE2high) or mock (ACE2low) were analyzed for the expression of ACE2 and immune response relevant molecules in silico or by qPCR, flow cytometry, Western blot and/or RNA-seq. The differential expression profiles in ACE2high vs. ACE2low cells correlated with available SARS-CoV-2 RNA-seq datasets. ACE2high cells demonstrated upregulated mRNA and/or protein levels of HLA class I, programmed death ligand 1 (PD-L1), components of the antigen processing machinery (APM) and the interferon (IFN) signaling pathway compared to ACE2low cells. Co-cultures of ACE2high cells with peripheral blood mononuclear cells increased immune cell migration and infiltration towards ACE2high cells, apoptosis of ACE2high cells, release of innate immunity-related cytokines and altered NK cell-mediated cytotoxicity. Thus, ACE2 expression was associated in different model systems and upon SARS-CoV-2 infection with an altered host immunogenicity, which might influence the efficacy of immune checkpoint inhibitors. These results provide novel insights into the (patho)physiological role of ACE2 on immune response-relevant mechanisms and suggest an alternative strategy to reduce COVID-19 severity in infected tumor patients targeting the ACE2-induced IFN-PD-L1 axis.

The potential benefits of eHealth support in enhancing patient care, satisfaction, and cancer outcomes are well-established; however, its integration into routine care has been gradual. The emergence of the COVID-19 pandemic in 2020 dramatically affected cancer patients, imposing multifaceted challenges that impede traditional doctor-patient interactions. Consequently, there has been a surge in the adoption of eHealth for supporting oncological therapies. This study investigates the fundamental prerequisites for transitioning to a more digitally oriented routine care, focusing on the availability of appropriate technical equipment and the cultivation of a positive mindset towards eHealth among breast cancer patients.

In 2013, 2016, and 2020, breast cancer patients participated in surveys utilizing a comprehensive paper questionnaire encompassing 29 inquiries about their health status, technical equipment, and attitudes toward digital therapy support.

A total of 959 patients participated in the interviews. Comparative analyses between the 2013, 2016, and 2020 surveys revealed a widespread increase in internet access and device ownership across various age groups. By 2020, 3 quarters of patients were utilizing the internet for health-related topics. Notably, there has been a considerable improvement in patients' personal attitudes towards eHealth and their expectations for future digital therapy support.

Over the seven years spanned by the surveys, there has been a substantial positive shift in the attitudes of breast cancer patients towards eHealth, accompanied by a marked improvement in their technical equipment. This study reveals that the essential prerequisites for digital therapy support now appear to be prevalent among breast cancer patients.

COVID-19, caused by SARS-CoV-2, manifests with differing severity across distinct patient subgroups, with outcomes influenced by underlying comorbidities such as cancer, which may cause functional and compositional alterations of the immune system during tumor progression. We aimed to investigate the association of SARS-CoV-2 infection and its complications with cancer in a large autopsy series and the role of COVID-19 in the fatal sequence leading to death. A total of 2641 adult autopsies were investigated, 539 of these were positive for SARS-CoV-2. Among the total number of patients analyzed, 829 had active cancer. Overall, the cohort included 100 patients who simultaneously had cancer and SARS-CoV-2 infection. The course of COVID-19 was less severe in cancer patients, including a significantly lower incidence of viral and bacterial pneumonia, occurring more frequently as a contributory disease or coexisting morbidity, or as SARS-CoV-2 positivity without viral disease. SARS-CoV-2 positivity was more frequent among non-metastatic than metastatic cancer cases, and in specific tumor types including hematologic malignancies. COVID-19 was more frequently found to be directly involved in the fatal sequence in patients undergoing active anticancer therapy, but less frequently in perioperative status, suggesting that the underlying malignancy and consequent surgery are more important factors leading to death perioperatively than viral disease. The course of COVID-19 in cancer patients was milder and balanced during the pandemic. This may be due to relative immunosuppressed status, and the fact that even early/mild viral infections can easily upset their condition, leading to death from their underlying cancer or its complications.

Chronic myeloid leukemia (CML) is a severe hematological malignancy characterized by BCR-ABL fusion gene. The advent of tyrosine kinase inhibitors (TKIs) targeting BCR-ABL has improved the landscape of CML treatment dramatically. The occurrence of coronavirus disease 2019 (COVID-19) has challenged many cancers. However, its effect on TKI therapy of CML remains unknown.

In this study, we collected peripheral blood from chronic phase CML patients treated with TKIs at low-level BCR-ABL P210 during COVID-19 pandemic, and determined the alterations of BCR-ABL P210 by applying the well-established BCR-ABL P210 detection system.

Our results showed that the level of BCR-ABL P210 of CML patients was significantly elevated shortly after contracting COVID-19, and then recovered to pre-infection level within one month. The elevated degree of P210 was positively correlated with the duration of COVID-19. And the level of P210 was elevated in CML patients that took COVID-19 vaccination. Furthermore, lymphocyte subsets and cytokine detections were performed by flow cytometry to analyze the alteration of immune responses. Our results showed that effector CD8+ T (Teff) cells were significantly downregulated while naïve CD8+ T cells or Treg cells were obviously upregulated in P210-elevated CML patients after contracting COVID-19 compared to that in P210-unchanged or decreased CML patients. Moreover, the SARS-CoV-2 pseudovirus was constructed to further determine its effects. The results showed that the level of BCR-ABL P210 was upregulated upon transfection of SARS-CoV-2 pseudovirus into blood samples of CML patients.

Our results demonstrate that COVID-19 suppresses the immune activity and consequentially elevates the level of BCR-ABL P210 of CML patients.

Cancer outcome is dependent on multiple predetermining factors including cancer, type of cancer and its related factors. This study aims to investigate the association between COVID-19 & cancer/cancer types, focusing on risk of in-hospital mortality within 30 days of hospitalization of COVID-19 patients with cancer.

We did a registry (National Clinical Registry for COVID-19) based retrospective observational study including 51,544 patients, of whom 976 were patients with cancer, admitted with COVID-19 between August 2020 and August 2023 across 42 hospitals of India.

Out of 51,544 patients, 976 (1.8%) had cancer. Hematological malignancies made up 15.06% (147 cases), while solid cancers accounted for 29.5% (288 cases), with genitourinary (18.4%, 80 cases), gastrointestinal (15.2%, 49 cases), and lung cancers (10.1%, 34 cases) being the most common. Solid cancers had the highest in-hospital mortality rate at 25%. Survival analysis showed that cancer-related hazards were highest at admission but decreased to levels comparable with other morbidities within nine to ten days. For each cancer type, the hazard was significantly elevated compared to that of the cancer-free (Other Comorbidities and No Comorbiditiy) groups during the initial period of hospitalization. The use of Remdesivir, steroids, and anticoagulants reduced mortality risk, and prior COVID-19 vaccination was protective against mortality across all cancer types.

This study shows that both cancer in general and specific cancer types significantly increase the risk of severe outcomes among SARS-CoV-2-infected patients, especially immediately after hospitalization. The findings highlight the need for close monitoring and personalized interventions for COVID-19 patients with cancer for at least 10 days post-hospitalization, with a more specific high-risk period ranging from 7 to 18 days depending on the type of cancer.

COVID-19 pandemic was accompanied by many healthcare-related issues. Concrete national data regarding the care performance of critical ill cases of COVID-19 does not exist in Korea. The current study aimed to describe the treatment outcome and healthcare resource utilization of critically ill COVID-19 patients. Our multicenter retrospective cohort study enrolled critically ill COVID-19 patients from 22 tertiary care hospitals in Korea. Inclusion criteria: (1) patients aged 19 years or older, (2) patients with laboratory-confirmed SARS-CoV-2 infection who received at least one of following initial treatments such as high-flow oxygen therapy (HFOT) or noninvasive ventilation (NIV) or invasive mechanical ventilation (IMV) or extracorporeal membrane oxygenation. During the study wave, a total of 1358 eligible participants were enrolled, with 21 institutions participating in the study. Among them, data from 1113 patients were available and analyzed. Of 921 (82.7%), 621 (55.8%) were supported by IMV. Of the 921 patients supported by HFOT or NIV, 438 (47.6%) recovered without IMV, 429 (46.6%) required IMV, and 54 died who DNR after NIV was applied. Prone position ventilation was administered to 163 (33.1%) patients with IMV and 25 (6.2%) patients with HFOT. Extracorporeal membrane oxygenation was administered to 128 (20.6%) patients treated with IMV. The overall mortality rate was 26.4%. In South Korea, mortality rates for patients with severe COVID-19 pneumonia have been shown substantial fatality, with the highest mortality rates observed in wave 3. The increased mortality rate in wave 3 could be associated with the rapid escalation of critically ill COVID-19 patients and the consequent saturation of intensive care unit capacities. Patients received NIV therapy and prone position ventilation more frequently in wave 3 as the number of cases increased.