Background: PC has become a significant global health challenge, with incidence and mortality rates rising over the past three decades. While traditionally associated with aging, recent data indicate an increasing burden among younger populations. This study aims to analyze global trends in PC incidence and mortality and to identify key contributing factors, particularly modifiable risk factors such as obesity, diabetes, and smoking. Methods: Using data from the Global Burden of Disease Study (GBD) 2021, population-based cancer registries globally and nationally, systematic reviews and analysis trends in PC incidence, mortality and survival were analyzed. To assess epidemiological shifts, we utilized previously published annual percentage change (AAPC) values stratified by region, age group, and sex, as reported in the cited literature. Additionally, the influence of modifiable risk factors was evaluated to determine their contribution to rising incidence rates. Results: Between 1990 and 2021, the global incidence of PC increased by 8.9%, from 5.47 to 5.96 per 100,000, with the highest rates observed in high-Sociodemographic-Index (SDI) regions (10.00 per 100,000) and the lowest in low-SDI regions (1.59 per 100,000). Significant increases in incidence were noted in several countries, particularly among men in Iceland (AAPC 8.85) and women in Malta (AAPC 6.04). Early-onset PC is becoming more prevalent, especially among younger women. Modifiable risk factors, including obesity, diabetes, and smoking, play a critical role, with excess body weight contributing to 17.9% of PC cases and smoking to 13.9% in the United States (U.S.). Conclusions: The rising burden of PC, particularly among younger populations, highlights the need for targeted prevention strategies, early detection efforts, and further research into the underlying mechanisms driving these trends. Addressing modifiable risk factors could be key to mitigating the increasing incidence of this highly lethal cancer.

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 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).

The COVID-19 pandemic has had a global impact, with >771 million confirmed cases and 6 million deaths reported by October 2023. Cancer patients, due to their immunosuppressed status, face an increased infection risk and higher COVID-19 complications. The present study aimed to assess clinical outcomes in COVID-19-infected cancer patients, focusing on mortality rates and other aspects, providing valuable insight for better protection and outcomes. This systematic review was conducted by searching the PubMed, Cochrane and Embase databases from August 2023 following the PRISMA guidelines. Studies from 2020 to 2023 pertaining to the impact of COVID-19 on patients previously diagnosed with malignancies were considered. Inclusion criteria entailed a pre-existing malignancy diagnosis, confirmed COVID-19 infection and an impact of COVID-19 on any aspect of the patient's cancer management. Studies written in English were exclusively reviewed. Post-COVID-19 malignancy diagnoses, case reports, review articles and data-insufficient studies were excluded. Screening and consensus on eligibility were carried out by a team of four authors, with disputes resolved by a non-screening author. Data extraction was performed by a five-author team, detailing study and population characteristics, as well as cancer patient outcomes related to COVID-19. Cross-checking was conducted by the same team, with conflicts resolved by a third author. The review of 27 studies explored COVID-19's impact on oncology, revealing diverse sample sizes (1,807,559 to 177 participants). Studies spanned various cancer types, including gastric adenocarcinoma, breast, lung, gynecologic, colorectal and non-melanoma skin cancer. Mortality rates were higher among cancer patients with COVID-19 compared to those without. Gastric adenocarcinoma exhibited a 5.9% mortality rate. Thoracic cancer patients faced elevated mortality and gastrectomies decreased. A meta-analysis (10 studies, 5,151 patients) showed a 19.1% mortality rate for COVID-19-infected cancer patients, contrasting with 1% for non-COVID-19 cancer patients (5 studies, 54,528 patients). The odds ratio for mortality in non-COVID-19 vs. COVID-19 cancer patients was 0.1036 (3 studies, 3,496 patients). Cancer patients consistently faced elevated mortality during the pandemic, with specific cancers showing unique impacts. Gastric adenocarcinoma exhibited a significant COVID-19 mortality rate. Patients with thoracic cancer faced increased risks, influencing surgical trends. Meta-analysis revealed an overall elevated mortality rate among COVID-19-infected cancer patients compared to non-COVID-19 counterparts.

Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has had a profound global impact. The emergence of several variants during the pandemic has presented numerous challenges in preventing and managing this disease. The development of vaccines has played a pivotal role in controlling the pandemic, with a significant portion of the global population being vaccinated. This, along with the emergence of less virulent SARS-CoV-2 variants, has led to a reduction in the severity of COVID-19 outcomes for the overall population. Nevertheless, individuals with immunocompromising conditions continue to face challenges given their suboptimal response to vaccination and vulnerability to severe COVID-19. This expert review synthesizes recent published evidence regarding the economic and human impact of COVID-19 on such individuals. The literature suggests that rates of hospitalization, intensive care unit admission, and mechanical ventilation use were high during the pre-Omicron era, and remained high during Omicron and later, despite vaccination for this population. Moreover, studies indicated that these individuals experienced a negative impact on their mental health and health-related quality of life (HRQoL) compared to those without immunocompromising conditions, with elevated levels of anxiety, depression, and distress reported. Further, these individuals with immunocompromising conditions experienced substantial costs associated with COVID-19 and loss of income during the pandemic, though the evidence on the economic burden of COVID-19 in such individuals is limited. Generally, COVID-19 has increased healthcare resource use and costs, impaired mental health, and reduced HRQoL in those with varied immunocompromising conditions compared to both those without COVID-19 and the general population-underscoring the importance of continued real-world studies. Ongoing research is crucial to assess the ongoing burden of COVID-19 in vaccinated individuals with immunocompromising conditions who are still at risk of severe COVID-19 outcomes to ensure their needs are not disproportionately worse than the general population.

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

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.

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.

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.

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.

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.

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).

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.

The coronavirus disease 2019 (COVID-19) pandemic has caused unprecedented pressure on healthcare systems globally. The lack of quality guidelines on the management of COVID-19 in rheumatologic disease, renal disease, hematological malignancy, and solid organ transplant recipients has resulted in a wide variation in clinical practice.

Using a Delphi process, a panel of 16 key opinion leaders developed clinical practice statements regarding vaccine recommendations in areas where standards are absent or limited. Agreement among practicing physicians with consensus statements was also assessed via an online physician survey. The strength of the consensus was determined by the following rating system: a strong rating was defined as all four key opinion leaders (KOLs) rating the statement ≥ 8, a moderate rating was defined as three out of four KOLs rating the statement ≥ 8, and no consensus was defined as less than three out of four KOLs provided a rating of ≤ 8. Specialists voted on agreement with each consensus statement for their disease area using the same ten-point scoring system.

Key opinion leaders in rheumatology, nephrology, and hematology achieved consensuses for all nine statements pertaining to the primary and booster series with transplant physicians reaching consensus on eight of nine statements. Experts agreed that COVID-19 vaccines are safe, effective, and well tolerated by patients with rheumatological conditions, renal disease, hematologic malignancy, and recipients of solid organ transplants. The Delphi process yielded strong to moderate suggestions for the use of COVID-19 messenger ribonucleic acid (mRNA) vaccines and the necessity of the COVID-19 booster for the immunocompromised population. The expert panel had mixed feelings concerning the measurement of antibody titers, higher-dose mRNA vaccines, and the development of disease-specific COVID-19 guidance.

These results confirmed the necessity of COVID-19 vaccines and boosters in immunocompromised patients with rheumatologic disease, renal disease, hematological malignancy, and solid organ transplant recipients. Statements where consensus was not achieved were due to absent or limited evidence.

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.

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.

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).

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.

Pneumonia is one of the main contributors to non-cancer mortality among patients with head and neck cancer (HNC). This study aimed to determine the vaccine uptake for pneumococcal polysaccharide and conjugate vaccines, quadrivalent influenza vaccines, and mRNA COVID-19 vaccines before and after an HNC diagnosis. Furthermore, the study investigated the timing of vaccination after a cancer diagnosis.

This register based multicentre study included Danish patients ≥ 18y diagnosed with HNC between 2018 and 2021. The vaccine uptake was assessed by calculating cumulative incidence (CI), while the timing of vaccination after an HNC diagnosis was explored by calculating incidence rates of vaccination the first and second half year after a cancer diagnosis.

The cumulative incidence of vaccine uptake for pneumococcal vaccines was estimated to be 8 % and 16 % one year before and after an HNC diagnosis, respectively. The CIs were 36 % and 38 % for quadrivalent influenza vaccines, respectively, whereas the CIs of vaccine uptake for mRNA COVID-19 vaccines were 60 % and 89 %. The IR of mRNA COVID-19 vaccinations the first half year after HNC diagnosis were 273 per 1000 person-months of follow-up (PMFU) and 111 per 1000 PMFU the second half year, respectively (IRR: 0.38, p < 0.001). Comparing the same periods, the IR of quadrivalent influenza vaccination was 28 per 1000 PMFU and 51 per 1000 PMFU (IRR: 1.95, 0 < 0.001). The IRs of pneumococcal vaccinations were 11 per 1000 PMFU and 14 per 1000 PMFU (IRR 1.28, p = 0.21).

Although our study shows a significant increase in pneumococcal and COVID-19 vaccine uptake after HNC diagnosis, a gap remains in vaccine uptake before diagnosis, underscoring the need for increased awareness of vaccination options and recommendations. Our findings could serve as a reference for future recommendations.

With the emergence of novel variants, Omicron variant caused a different clinical picture than the previous variants and little evidence was reported regarding perioperative outcomes after Omicron variants. The aim of the study was to evaluate the postoperative outcomes of gastrointestinal cancer patients following Omicron variants infection and also to determine the timing of surgery after infection recovery. A total of 124 patients who underwent gastrointestinal cancer surgery with prior SARS-CoV-2 infection between December 2022 and February 2023 were retrospectively reviewed. 174 cases underwent the same operation during December 2018 and February 2019 as control group. SARS-CoV-2-infected patients were further categorized into three groups based on infected time (1-3 weeks; 4-6 weeks; and ≥ 7 weeks). 90.3% of SARS-CoV-2-infected patients had mild symptoms. The COVID-19 vaccination rate was 71.0%, with a full vaccination rate of 48.4%. There were no significant differences in 30-day morbidity and mortality. There was also no significant difference in pulmonary complications, cardiovascular complications, and surgical complications between the three different diagnosis time groups. In conclusion, reducing waiting time for elective surgery was safe for gastrointestinal cancer patients in the context of an increased transmissibility and milder illness severity with Omicron variant.

In patients with lung cancer (LC), understanding factors that impact the dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) anti-spike antibody (SAb) titers over time is critical, but challenging, due to evolving treatments, infections, vaccinations, and health status. The objective was to develop a time-dependent regression model elucidating individual contributions of factors influencing SAb levels in LC patients using a prospective, longitudinal, multi-institutional cohort study initiated in January 2021. The study evaluated 296 LC patients-median age 69; 55% female; 50% stage IV. Blood samples were collected every three months to measure SAb levels using FDA-approved ELISA. Asymptomatic and unreported infections were documented through measurement of anti-nucleocapsid Ab levels (Meso Scale Discovery). Associations between clinical characteristics and titers were evaluated using a time-dependent linear regression model with a generalized estimating equation (GEE), considering time-independent variables (age, sex, ethnicity, smoking history, histology, and stage) and time-dependent variables (booster vaccinations, SARS-CoV-2 infections, cancer treatment, steroid use, and influenza vaccination). Significant time-dependent effects increasing titer levels were observed for prior SARS-CoV-2 infection (p < 0.001) and vaccination/boosters (p < 0.001). Steroid use (p = 0.043) and chemotherapy (p = 0.033) reduced titer levels. Influenza vaccination was associated with increased SAb levels (p < 0.001), independent of SARS-CoV-2 vaccine boosters. Prior smoking significantly decreased titers in females (p = 0.001). Age showed no association with titers. This GEE-based linear regression model unveiled the nuanced impact of multiple variables on patient anti-spike Ab levels over time. After controlling for the major influences of vaccine and SARS-CoV-2 infections, chemotherapy and steroid use were found to have negatively affected titers. Smoking in females significantly decreased titers. Surprisingly, influenza vaccinations were also significantly associated, likely indirectly, with improved SARS-CoV-2 titers.

The rate and prognosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in patients with solid cancer tumors actively treated with immune checkpoint inhibitors (ICIs) have not been fully determined. The goal of this meta-analysis was to explore this issue, which can be helpful to clinicians in their decision-making concerning patient treatment. We conducted a thorough search for relevant cohort studies in the databases PubMed, Embase, Cochrane Library, and Web of Science. Mortality and infection rate were the primary endpoints, and the incidence of severe or critical disease was the secondary result. A total of 6,267 cases (individual patients) were represented in 15 studies. Prior exposure to ICIs was not correlated with an elevated risk of SARS-CoV-2 infection (relative risk (RR) 1.04, 95% CI 0.57-1.88, z = 0.12, P = 0.905) or mortality (RR 1.22, 95% CI 0.99-1.50, z = 1.90, P = 0.057). However, the results of the meta-analysis revealed that taking ICIs before SARS-CoV-2 diagnosis increased the chance of developing severe or critical disease (RR 1.51, 95% CI 1.09-2.10, z = 2.46, P = 0.014). No significant inter-study heterogeneity was observed. The infection and mortality rates of SARS-CoV-2 in patients with solid tumors who previously received ICIs or other antitumor therapies did not differ significantly. However, secondary outcomes showed that ICIs treatment before the diagnosis of SARS-CoV-2 infection was significantly associated with the probability of severe or critical illness.

https://www.crd.york.ac.uk/prospero/#recordDetails PROSPERO, identifier CRD42023393511.

Severe acute respiratory syndrome coronavirus 2 disease (COVID-19) has caused a worldwide challenging and threatening pandemic. We aimed to assess the safety and efficacy of the COVID-19 vaccines in Non-Small Cell Lung Cancer (NSCLC) patients.

Patient self-reported adverse events related to vaccines were recorded by follow-up through a uniform questionnaire. Survival analysis was performed by Kaplan-Meier method. A multivariate analysis was performed by the Cox proportional hazard regression model to determine the effect of each variable on the survival of lung cancer patients.

A total of 860 patients with NSCLC on treatment were enrolled. Mean age was 57 years in patients with early stage group and 62 years in advanced stage group. The vaccination rate was 71.11% for early-stage patients and 19.48% for advanced-stage patients; most of them (86.5%) received the COVID-19 inactivated virus (Vero cell) vaccine (Coronavac; Sinovac). The most common systemic adverse reaction was weakness. The main reason for vaccine refusal in those unvaccinated patients was concern about the safety of vaccination in the presence of a tumor and undergoing treatment (56.9% and 53.4%). The 1-year disease-free survival (DFS) rate was 100% for vaccinated and 97.4% for unvaccinated early-stage patients. Then we compared the progression-free survival (PFS) of vaccinated (median PFS 9.0 months) and unvaccinated (median PFS 7.0 months) advanced stage patients (p = 0.815). Advanced NSCLC patients continued to be divided into groups receiving radio-chemotherapy, immunotherapy, and targeted therapy, with no statistical difference in PFS between the groups (p > 0.05). The median overall survival (OS) of vaccinated patients was 20.5 months, and that of unvaccinated patients was 19.0 months (p = 0.478) in advanced NSCLC patients.

COVID-19 vaccination is safe for Chinese NSCLC patients actively receiving different antitumor treatments without increasing the incidence of adverse reactions, and vaccination does not affect cancer patient survival.

The clinical treatment of patients with cancer who are also diagnosed with coronavirus disease (COVID-19) has been a challenging issue since the outbreak of COVID-19. Therefore, it is crucial to understand the effects of commonly used drugs for treating COVID-19 in patients with cancer. Hence, this review aims to provide a reference for the clinical treatment of patients with cancer to minimize the losses caused by the COVID-19 pandemic. In this study, we also focused on the relationship between COVID-19, commonly used drugs for treating COVID-19, and cancer. We specifically investigated the effect of these drugs on tumor cell proliferation, migration, invasion, and apoptosis. The potential mechanisms of action of these drugs were discussed and evaluated. We found that most of these drugs showed inhibitory effects on tumors, and only in a few cases had cancer-promoting effects. Furthermore, inappropriate usage of these drugs may lead to irreversible kidney and heart damage. Finally, we have clarified the use of different drugs, which can provide useful guidance for the clinical treatment of cancer patients diagnosed with COVID-19.

Immunotherapy is now established as a potent therapeutic paradigm engendering antitumor immune response against a wide range of malignancies and other diseases by modulating the immune system either through the stimulation or suppression of immune components such as CD4+ T cells, CD8+ T cells, B cells, monocytes, macrophages, dendritic cells, and natural killer cells. By targeting several immune checkpoint inhibitors or blockers (e.g., PD-1, PD-L1, PD-L2, CTLA-4, LAG3, and TIM-3) expressed on the surface of immune cells, several monoclonal antibodies and polyclonal antibodies have been developed and already translated clinically. In addition, natural killer cell-based, dendritic cell-based, and CAR T cell therapies have been also shown to be promising and effective immunotherapeutic approaches. In particular, CAR T cell therapy has benefited from advancements in CRISPR-Cas9 genome editing technology, allowing the generation of several modified CAR T cells with enhanced antitumor immunity. However, the emerging SARS-CoV-2 infection could hijack a patient's immune system by releasing pro-inflammatory interleukins and cytokines such as IL-1β, IL-2, IL-6, and IL-10, and IFN-γ and TNF-α, respectively, which can further promote neutrophil extravasation and the vasodilation of blood vessels. Despite the significant development of advanced immunotherapeutic technologies, after a certain period of treatment, cancer relapses due to the development of resistance to immunotherapy. Resistance may be primary (where tumor cells do not respond to the treatment), or secondary or acquired immune resistance (where tumor cells develop resistance gradually to ICIs therapy). In this context, this review aims to address the existing immunotherapeutic technologies against cancer and the resistance mechanisms against immunotherapeutic drugs, and explain the impact of COVID-19 on cancer treatment. In addition, we will discuss what will be the future implementation of these strategies against cancer drug resistance. Finally, we will emphasize the practical steps to lay the groundwork for enlightened policy for intervention and resource allocation to care for cancer patients.

Introduction: The 2019 coronavirus disease (COVID-19) pandemic has reshaped oncology practice, but the impact of anti-angiogenic drugs on the severity of COVID-19 in patients with non-small cell lung cancer (NSCLC) remains unclear. Patients and Methods: We carried out a retrospective study involving 166 consecutive patients with NSCLC who were positive for COVID-19, aiming to determine the effects of anti-angiogenic drugs on disease severity, as defined by severe/critical symptoms, intensive care unit (ICU) admission/intubation, and mortality outcomes. Risk factors were identified using univariate and multivariate logistic regression models. Results: Of the participants, 73 had been administered anti-angiogenic drugs (termed the anti-angiogenic therapy (AT) group), while 93 had not (non-AT group). Comparative analyses showed no significant disparity in the rates of severe/critical symptoms (21.9% vs 35.5%, P = 0.057), ICU admission/intubation (6.8% vs 7.5%, P = 0.867), or death (11.0% vs 9.7%, P = 0.787) between these two groups. However, elevated risk factors for worse outcomes included age ≥ 60 (odds ratio (OR): 2.52, 95% confidence interval (CI): 1.07-5.92), Eastern Cooperative Oncology Group performance status of 2 or higher (OR: 21.29, 95% CI: 4.98-91.01), chronic obstructive pulmonary disease (OR: 7.25, 95% CI: 1.65-31.81), hypertension (OR: 2.98, 95% CI: 1.20-7.39), and use of immunoglobulin (OR: 5.26, 95% CI: 1.06-26.25). Conclusion: Our data suggests that the use of anti-angiogenic drugs may not exacerbate COVID-19 severity in NSCLC patients, indicating their potential safe application even during the pandemic period.

Vaccinated patients with cancer in follow-up studies showed a high seropositivity rate but impaired antibody titres and T cell responses following mRNA vaccine against COVID-19. Besides clinical characteristics and the type of anticancer treatment before vaccination, the identification of patients susceptible to non-response following vaccination using immunological markers is worth to be investigated.

All patients (n=138, solid cancers) were included in the CACOV-VAC Study comprising three cohorts ((neo)-adjuvant, metastatic and surveillance). Immune responses were assessed using, respectively, anti-receptor-binding domain (RBD) SARS-CoV-S-IgG assay and interferon-γ ELISpot assay 3 months following the prime vaccination dose. Immunophenotyping of T cells and immunosuppressive cells from peripheral blood was performed before the prime dose. The serological threshold 3563 AU/mL was used to discriminate non-responders or suboptimal responders versus responders.

Most patients achieved seroconversion after receiving the two doses of vaccine (97.6%). The median serological level of anti-RBD SARS-CoV-S-IgG was equal to 3029 for patients at the metastatic stage. The patient's age was the main demographic characteristic that influenced vaccine efficacy. Among the immunological parameters measured at baseline, lower TIGIT (T cell immunoreceptor with Ig and ITIM domains) expression on CD8 T cells was associated with a better vaccine immunogenicity both in terms of humoral and cellular immune responses.

Despite a high seroconversion rate, median serological levels of patients with cancer, particularly elderly patients, were below the threshold equal to 3563 AU/mL considered as a humoral correlate of protection against SARS-CoV-2. Our findings suggest that the inhibitory receptor TIGIT might be an interesting predictive biomarker of COVID-19 vaccine immunogenicity and beyond in an anticancer vaccine context.

ClinicalTrials.gov Registry (NCT04836793).

Limited information is available for patients with breast cancer (BC) and coronavirus disease 2019 (COVID-19), especially among underrepresented racial/ethnic populations.

This is a COVID-19 and Cancer Consortium (CCC19) registry-based retrospective cohort study of females with active or history of BC and laboratory-confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection diagnosed between March 2020 and June 2021 in the US. Primary outcome was COVID-19 severity measured on a five-level ordinal scale, including none of the following complications, hospitalization, intensive care unit admission, mechanical ventilation, and all-cause mortality. Multivariable ordinal logistic regression model identified characteristics associated with COVID-19 severity.

1383 female patient records with BC and COVID-19 were included in the analysis, the median age was 61 years, and median follow-up was 90 days. Multivariable analysis revealed higher odds of COVID-19 severity for older age (aOR per decade, 1.48 [95% CI, 1.32-1.67]); Black patients (aOR 1.74; 95 CI 1.24-2.45), Asian Americans and Pacific Islander patients (aOR 3.40; 95 CI 1.70-6.79) and Other (aOR 2.97; 95 CI 1.71-5.17) racial/ethnic groups; worse ECOG performance status (ECOG PS ≥2: aOR, 7.78 [95% CI, 4.83-12.5]); pre-existing cardiovascular (aOR, 2.26 [95% CI, 1.63-3.15])/pulmonary comorbidities (aOR, 1.65 [95% CI, 1.20-2.29]); diabetes mellitus (aOR, 2.25 [95% CI, 1.66-3.04]); and active and progressing cancer (aOR, 12.5 [95% CI, 6.89-22.6]). Hispanic ethnicity, timing, and type of anti-cancer therapy modalities were not significantly associated with worse COVID-19 outcomes. The total all-cause mortality and hospitalization rate for the entire cohort was 9% and 37%, respectively however, it varied according to the BC disease status.

Using one of the largest registries on cancer and COVID-19, we identified patient and BC-related factors associated with worse COVID-19 outcomes. After adjusting for baseline characteristics, underrepresented racial/ethnic patients experienced worse outcomes compared to non-Hispanic White patients.

This study was partly supported by National Cancer Institute grant number P30 CA068485 to Tianyi Sun, Sanjay Mishra, Benjamin French, Jeremy L Warner; P30-CA046592 to Christopher R Friese; P30 CA023100 for Rana R McKay; P30-CA054174 for Pankil K Shah and Dimpy P Shah; KL2 TR002646 for Pankil Shah and the American Cancer Society and Hope Foundation for Cancer Research (MRSG-16-152-01-CCE) and P30-CA054174 for Dimpy P Shah. REDCap is developed and supported by Vanderbilt Institute for Clinical and Translational Research grant support (UL1 TR000445 from NCATS/NIH). The funding sources had no role in the writing of the manuscript or the decision to submit it for publication.

CCC19 registry is registered on ClinicalTrials.gov, NCT04354701.

Patients with glioblastoma multiforme (GBM) and other patients with cancer are at a greater risk of developing severe complications as a result of coronavirus disease 2019 (COVID-19) infection. Therefore, it is crucial to adjust therapeutic approaches to reduce exposure and complications and achieve the most appropriate treatment outcomes.

Our goal was to help physicians to make decisions based on the latest data in the literature.

We provide a comprehensive review of the literature on the current issues of GBM and COVID-19 infection.

The mortality of patients with diffuse glioma as a result of COVID-19 infection was 39%, which is higher than in the general population. The statistics showed that 84.5% of patients with diagnosed brain cancer (mostly GBM) and 89.9% of their caregivers received COVID-19 vaccines. The decision to apply different therapeutic approaches must be made individually based on age, tumor grade, molecular profile, and performance status. The advantages and disadvantages of adjuvant radiotherapy and chemotherapy after the surgery should be evaluated carefully. In the setting of the follow-up period, special considerations must be considered to minimize COVID-19 exposure.

The pandemic altered medical approaches worldwide, and the management of patients in an immunocompromised state, such as patients with GBM, is challenging; therefore, special considerations must be considered.

Lung cancer patients with coronavirus disease 2019 (COVID-19) infection experience high mortality rates. The study aims to determine the risk factors for mortality in lung cancer patients with COVID-19 infection.

Followed the PRISMA reporting guidelines, PubMed, Embase, and Web of Science were systematically searched to February 20, 2023, for studies of lung cancer patients with COVID-19 infection. The main outcome of interest was the risk factor for mortality. We also compared the mortality rate of those patients among different continents. A pooled risk ratio (RR) with 95% CI was presented as the result of this meta-analysis.

Meta-analysis of 33 studies involving 5018 patients showed that pooled mortality rate of lung cancer in COVID-19 patients was 0.31 (95% CI: 0.25-0.36). Subgroup analysis based on the continents showed significant difference of the mortality rate was observed between Asia and the rest of world (χ2 = 98.96, P < 0.01). Older age (SMD: 0.24, 95% CI: 0.09-0.40, P < 0.01), advanced lung cancer (RR: 1.14, 95% CI: 1.04-1.26, P < 0.01), coexisting comorbidities such as hypertension (RR: 1.17, 95% CI: 1.01-1.35, P = 0.04) and cardiovascular disease (RR: 1.40, 95% CI: 1.03-1.91, P = 0.03) were associated with higher risk of mortality rate in those patients.

Findings of this meta-analysis confirms an increased risk of mortality in lung cancer patients with COVID-19 infection, whose risk factors for these patients appear to be exacerbated by older age, advanced-stage lung cancer, and comorbidities such as hypertension and cardiovascular disease.

Patients with cancer may be at a higher risk of experiencing severe complications from coronavirus disease 2019 (COVID-19) than are patients without cancer. This study evaluated the efficacy of REGEN-COV, a combination of the monoclonal antibodies casirivimab and imdevimab, for treating COVID-19 in patients with cancer in the USA.

Using the MarketScanⓇ database, de-identified data of patients with a COVID-19 diagnosis between November 1, 2020, and November 30, 2021, were analyzed. In the preliminary study, patients with COVID-19 were divided into two groups: those with and without cancer within 1 year prior to a COVID-19 diagnosis. In the main study, patients with COVID-19 with cancer were divided into two groups: those with and without REGEN-COV treatment. Patient outcomes, such as COVID-19-derived hospitalization, hospitalization duration, and medical costs, were assessed between these two groups by propensity score matching.

Within the first 30 days of a COVID-19 diagnosis, the group treated with REGEN-COV had fewer hospitalizations (3.2% vs. 13.3%; p < 0.001), fewer mean hospitalization days (0.2 vs. 1.1 days; p < 0.001), and a lower mean-associated medical payment (2,709 vs. 8,120 USD; p < 0.001) than the group not treated with REGEN-COV. Patients with specific cancer types, including non-Hodgkin's lymphoma, leukemia, and lung cancer, had higher hospitalization rates than those with other cancer types.

Patients with cancer treated with REGEN-COV experienced a decreased risk for hospitalization, hospitalization duration, and total COVID-19-related costs. Patients with cancer were at a higher risk of being hospitalized for COVID-19 than were those without cancer. The use of neutralizing antibody therapy may reduce the risk of severe COVID-19 infection for patients with cancer with an otherwise high risk. Future replication studies should be conducted using other databases that include Medicaid users and other insured persons for comparison and validation.

In the era of the SARS-Cov2 pandemic, the multidisciplinary care of patients with lung cancer is the main challenge for clinicians. The depiction of complex networking between SARS-CoV2 and cancer cells is crucial to understanding the downstream signalling pathways leading to more severe clinical behaviour of COVID-19 among lung cancer patients.

The immunosuppressive status caused by both blunted immune response and active anticancer treatments (e.g. radiotherapy, chemotherapy) affects also the response to vaccines. Furthermore, the COVID-19 pandemic has significantly influenced early detection, therapeutic management, and clinical research for patients with lung cancer.

SARS-CoV-2 infection does undoubtedly represent a challenge for care of patients with lung cancer. Since symptoms of infection may overlap with underlying condition, diagnosis must be reached and treatment should start as soon as possible. Although any cancer treatment should be procrastinated as long as infection is not cured, every choice must be pondered on individual basis, according to clinical conditions. Underdiagnosis should be avoided, and both surgical and medical treatment must be tailored to each patient. Therapeutic scenario standardization represents a major challenge for clinicians and researchers.

Although representing the majority of newly diagnosed cancers, patients with breast cancer appear less vulnerable to COVID-19 mortality compared with other malignancies. In the absence of patients on active cancer therapy included in vaccination trials, a contemporary real-world evaluation of outcomes during the various pandemic phases, as well as of the impact of vaccination, is needed to better inform clinical practice.

We compared COVID-19 morbidity and mortality among patients with breast cancer across prevaccination (February 27, 2020-November 30, 2020), Alpha-Delta (December 1, 2020-December 14, 2021), and Omicron (December 15, 2021-January 31, 2022) phases using OnCovid registry participants (ClinicalTrials.gov identifier: NCT04393974). Twenty-eight-day case fatality rate (CFR28) and COVID-19 severity were compared in unvaccinated versus double-dosed/boosted patients (vaccinated) with inverse probability of treatment weighting models adjusted for country of origin, age, number of comorbidities, tumor stage, and receipt of systemic anticancer therapy within 1 month of COVID-19 diagnosis.

By the data lock of February 4, 2022, the registry counted 613 eligible patients with breast cancer: 60.1% (n = 312) hormone receptor-positive, 25.2% (n = 131) human epidermal growth factor receptor 2-positive, and 14.6% (n = 76) triple-negative. The majority (61%; n = 374) had localized/locally advanced disease. Median age was 62 years (interquartile range, 51-74 years). A total of 193 patients (31.5%) presented ≥ 2 comorbidities and 69% (n = 330) were never smokers. In total, 392 (63.9%), 164 (26.8%), and 57 (9.3%) were diagnosed during the prevaccination, Alpha-Delta, and Omicron phases, respectively. Analysis of CFR28 demonstrates comparable estimates of mortality across the three pandemic phases (13.9%, 12.2%, 5.3%, respectively; P = .182). Nevertheless, a significant improvement in outcome measures of COVID-19 severity across the three pandemic time periods was observed. Importantly, when reported separately, unvaccinated patients from the Alpha-Delta and Omicron phases achieved comparable outcomes to those from the prevaccination phase. Of 566 patients eligible for the vaccination analysis, 72 (12.7%) were fully vaccinated and 494 (87.3%) were unvaccinated. We confirmed with inverse probability of treatment weighting multivariable analysis and following a clustered robust correction for participating center that vaccinated patients achieved improved CFR28 (odds ratio [OR], 0.19; 95% CI, 0.09 to 0.40), hospitalization (OR, 0.28; 95% CI, 0.11 to 0.69), COVID-19 complications (OR, 0.16; 95% CI, 0.06 to 0.45), and reduced requirement of COVID-19-specific therapy (OR, 0.24; 95% CI, 0.09 to 0.63) and oxygen therapy (OR, 0.24; 95% CI, 0.09 to 0.67) compared with unvaccinated controls.

Our findings highlight a consistent reduction of COVID-19 severity in patients with breast cancer during the Omicron outbreak in Europe. We also demonstrate that even in this population, a complete severe acute respiratory syndrome coronavirus 2 vaccination course is a strong determinant of improved morbidity and mortality from COVID-19.

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

Limited information is available for patients with breast cancer (BC) and coronavirus disease 2019 (COVID-19), especially among underrepresented racial/ethnic populations.

This is a COVID-19 and Cancer Consortium (CCC19) registry-based retrospective cohort study of females with active or history of BC and laboratory-confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection diagnosed between March 2020 and June 2021 in the US. Primary outcome was COVID-19 severity measured on a five-level ordinal scale, including none of the following complications, hospitalization, intensive care unit admission, mechanical ventilation, and all-cause mortality. Multivariable ordinal logistic regression model identified characteristics associated with COVID-19 severity.

1,383 female patient records with BC and COVID-19 were included in the analysis, the median age was 61 years, and median follow-up was 90 days. Multivariable analysis revealed higher odds of COVID-19 severity for older age (aOR per decade, 1.48 [95% CI, 1.32 - 1.67]); Black patients (aOR 1.74; 95 CI 1.24-2.45), Asian Americans and Pacific Islander patients (aOR 3.40; 95 CI 1.70 - 6.79) and Other (aOR 2.97; 95 CI 1.71-5.17) racial/ethnic groups; worse ECOG performance status (ECOG PS ≥2: aOR, 7.78 [95% CI, 4.83 - 12.5]); pre-existing cardiovascular (aOR, 2.26 [95% CI, 1.63 - 3.15])/pulmonary comorbidities (aOR, 1.65 [95% CI, 1.20 - 2.29]); diabetes mellitus (aOR, 2.25 [95% CI, 1.66 - 3.04]); and active and progressing cancer (aOR, 12.5 [95% CI, 6.89 - 22.6]). Hispanic ethnicity, timing and type of anti-cancer therapy modalities were not significantly associated with worse COVID-19 outcomes. The total all-cause mortality and hospitalization rate for the entire cohort was 9% and 37%, respectively however, it varied according to the BC disease status.

Using one of the largest registries on cancer and COVID-19, we identified patient and BC related factors associated with worse COVID-19 outcomes. After adjusting for baseline characteristics, underrepresented racial/ethnic patients experienced worse outcomes compared to Non-Hispanic White patients.