Despite high contagiousness and rapid spread, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to heterogeneous outcomes across affected nations. Within Europe (EU), the United ...Kingdom (UK) is the most severely affected country, with a death toll in excess of 100,000 as of January 2021. We aimed to compare the national impact of coronavirus disease 2019 (COVID-19) on the risk of death in UK patients with cancer versus those in continental EU.
We performed a retrospective analysis of the OnCovid study database, a European registry of patients with cancer consecutively diagnosed with COVID-19 in 27 centres from 27th February to 10th September 2020. We analysed case fatality rates and risk of death at 30 days and 6 months stratified by region of origin (UK versus EU). We compared patient characteristics at baseline including oncological and COVID-19–specific therapy across UK and EU cohorts and evaluated the association of these factors with the risk of adverse outcomes in multivariable Cox regression models.
Compared with EU (n = 924), UK patients (n = 468) were characterised by higher case fatality rates (40.38% versus 26.5%, p < 0.0001) and higher risk of death at 30 days (hazard ratio HR, 1.64 95% confidence interval {CI}, 1.36–1.99) and 6 months after COVID-19 diagnosis (47.64% versus 33.33%; p < 0.0001; HR, 1.59 95% CI, 1.33–1.88). UK patients were more often men, were of older age and have more comorbidities than EU counterparts (p < 0.01). Receipt of anticancer therapy was lower in UK than in EU patients (p < 0.001). Despite equal proportions of complicated COVID-19, rates of intensive care admission and use of mechanical ventilation, UK patients with cancer were less likely to receive anti–COVID-19 therapies including corticosteroids, antivirals and interleukin-6 antagonists (p < 0.0001). Multivariable analyses adjusted for imbalanced prognostic factors confirmed the UK cohort to be characterised by worse risk of death at 30 days and 6 months, independent of the patient's age, gender, tumour stage and status; number of comorbidities; COVID-19 severity and receipt of anticancer and anti–COVID-19 therapy. Rates of permanent cessation of anticancer therapy after COVID-19 were similar in the UK and EU cohorts.
UK patients with cancer have been more severely impacted by the unfolding of the COVID-19 pandemic despite societal risk mitigation factors and rapid deferral of anticancer therapy. The increased frailty of UK patients with cancer highlights high-risk groups that should be prioritised for anti–SARS-CoV-2 vaccination. Continued evaluation of long-term outcomes is warranted.
•Coronavirus disease 2019 (COVID-19) mortality in the United Kingdom (UK) has exceeded that of all other European countries.•Outcomes of UK patients with cancer and COVID-19 may compare unfavourably with European countries.•This is the first study to report detrimental outcomes for UK patients with cancer.•UK patients are older, have more comorbidities and are less likely to have received COVID-19 therapy.•Considering our results, rapid vaccination against severe acute respiratory syndrome coronavirus 2 should be recommended.
Neoantigens, mutated tumour-specific antigens, are key targets of anti-tumour immunity during checkpoint inhibitor (CPI) treatment. Their identification is fundamental to designing ...neoantigen-directed therapy. Non-canonical neoantigens arising from the untranslated regions (UTR) of the genome are an overlooked source of immunogenic neoantigens. Here, we describe the landscape of UTR-derived neoantigens and release a computational tool, PrimeCUTR, to predict UTR neoantigens generated by start-gain and stop-loss mutations.
We applied PrimeCUTR to a whole genome sequencing dataset of pre-treatment tumour samples from CPI-treated patients (n = 341). Cancer immunopeptidomic datasets were interrogated to identify MHC class I presentation of UTR neoantigens.
Start-gain neoantigens were predicted in 72.7% of patients, while stop-loss mutations were found in 19.3% of patients. While UTR neoantigens only accounted 2.6% of total predicted neoantigen burden, they contributed 12.4% of neoantigens with high dissimilarity to self-proteome. More start-gain neoantigens were found in CPI responders, but this relationship was not significant when correcting for tumour mutational burden. While most UTR neoantigens are private, we identified two recurrent start-gain mutations in melanoma. Using immunopeptidomic datasets, we identify two distinct MHC class I-presented UTR neoantigens: one from a recurrent start-gain mutation in melanoma, and one private to Jurkat cells.
PrimeCUTR is a novel tool which complements existing neoantigen discovery approaches and has potential to increase the detection yield of neoantigens in personalised therapeutics, particularly for neoantigens with high dissimilarity to self. Further studies are warranted to confirm the expression and immunogenicity of UTR neoantigens.
Conversely, in both mutant simulations, the distance remained larger, consistent with His41 pointing away from the active site. ...in addition to disruption of key FB-binding residues, mutations ...R176P and R176A appear to stabilize the self-inhibited conformation of free FD. Overactivation of AP is implicated in numerous inflammatory disorders, including age-related macular degeneration. ...blockade of the AP by targeting the rate-limiting enzyme, FD, is an attractive approach to controlling disease progression. Furthermore, circulating concentrations of leptin and adiponectin, adipokines that regulate insulin sensitivity, were normal, as were fasting lipid profiles in both subjects. ...glucose homeostasis is not impaired in the context of genetic, and therefore lifelong, FD deficiency. ...research will be required to understand the role of FD in glucose homeostasis and FD-deficient family pedigrees offer a useful clinical insight to this question.Methods Informed consent statement All study participants gave their informed consent as appropriate under approved protocols from local institutional review boards.
The COVID-19 pandemic remains a pressing concern to patients with cancer as countries enter the second peak of the pandemic and beyond. It remains unclear whether cancer and its treatment contribute ...an independent risk for mortality in COVID-19.
We included patients at a London tertiary hospital with laboratory confirmed SARS-CoV-2 infection. All patients with a history of solid cancer were included. Age- and sex-matched patients without cancer were randomly selected. Patients with hematological malignancies were excluded.
We identified 94 patients with cancer, matched to 226 patients without cancer. After adjusting for age, ethnicity, and co-morbidities, patients with cancer had increased mortality following COVID-19 (HR 1.57, 95% CI:1.04-2.4,
= 0.03). Increasing age (HR 1.49 every 10 years, 95% CI:1.25-1.8,
< 0.001), South Asian ethnicity (HR 2.92, 95% CI:1.73-4.9,
< 0.001), and cerebrovascular disease (HR 1.93, 95% CI:1.18-3.2,
= 0.008) also predicted mortality. Within the cancer cohort, systemic anti-cancer therapy (SACT) within 60 days of COVID-19 diagnosis was an independent risk factor for mortality (HR 2.30, 95% CI: 1.16-4.6,
= 0.02).
Along with known risk factors, cancer and SACT confer an independent risk for mortality following COVID-19. Further studies are needed to understand the socio-economic influences and pathophysiology of these associations.
We describe the outcomes in cancer patients during the initial outbreak of the COVID-19 in Europe from the retrospective, multi-center observational OnCovid study. We identified 204 cancer patients ...from eight centers in the United Kingdom, Italy, and Spain aged > 18 (mean = 69) and diagnosed with COVID-19 between February 26th and April 1st, 2020. A total of 127 (62%) were male, 184 (91%) had a diagnosis of solid malignancy, and 103 (51%) had non-metastatic disease. A total of 161 (79%) had > 1 co-morbidity. A total of 141 (69%) patients had > 1 COVID-19 complication. A total of 36 (19%) were escalated to high-dependency or intensive care. A total of 59 (29%) died, 53 (26%) were discharged, and 92 (45%) were in-hospital survivors. Mortality was higher in patients aged > 65 (36% versus 16%), in those with > 2 co-morbidities (40% versus 18%) and developing > 1 complication from COVID-19 (38% versus 4%,
= 0.004). Multi-variable analyses confirmed age > 65 and > 2 co-morbidities to predict for patient mortality independent of tumor stage, active malignancy, or anticancer therapy. During the early outbreak of SARS-CoV-2 infection in Europe co-morbid burden and advancing age predicted for adverse disease course in cancer patients. The ongoing OnCovid study will allow us to compare risks and outcomes in cancer patients between the initial and later stages of the COVID-19 pandemic.
An increased mortality risk was observed in patients with cancer during the first wave of COVID-19. Here, we describe determinants of mortality in patients with solid cancer comparing the first and ...second waves of COVID-19. A retrospective analysis encompassing two waves of COVID-19 (March-May 2020; December 2020-February 2021) was performed. 207 patients with cancer were matched to 452 patients without cancer. Patient demographics and oncological variables such as cancer subtype, staging and anti-cancer treatment were evaluated for association with COVID-19 mortality. Overall mortality was lower in wave two compared to wave one, HR 0.41 (95% CI: 0.30-0.56). In patients with cancer, mortality was 43.6% in wave one and 15.9% in wave two. In hospitalized patients, after adjusting for age, ethnicity and co-morbidities, a history of cancer was associated with increased mortality in wave one but not wave two. In summary, the second UK wave of COVID-19 is associated with lower mortality in hospitalized patients. A history of solid cancer was not associated with increased mortality despite the dominance of the more transmissible B.1.1.7 SARS-CoV-2 variant. In both waves, metastatic disease and systemic anti-cancer treatment appeared to be independent risk factors for death within the combined cancer cohort.
Purpose
To investigate responses in the primary tumour to different systemic treatment regimens in patients with metastatic renal cell carcinoma (mRCC).
Methods
A single-centre retrospective analysis ...of treatment-naive mRCC patients without prior nephrectomy receiving VEGF tyrosine kinase inhibitors (VEGF only), immune checkpoint inhibitors (IO only), or combinations thereof (IO + VEGF).
The primary outcome was the rate of partial response in the primary tumour (primary tumour PR, ≥ 30% diameter reduction). Secondary outcomes were time to best primary tumour diameter change, overall survival (OS) and progression-free survival (PFS) by Kaplan–Meier analysis. Predictors of survival outcomes were explored by Cox proportional hazards regression analysis.
Results
The rate of primary tumour PR was 14% for VEGF only (4/28 patients), 22% for IO only (5/23) and 50% for IO + VEGF (7/14), with median best primary tumour diameter change of − 8.0%, + 5.1%, and − 31.1% respectively, and median time to best primary tumour diameter change of 3.2, 3.0 and 6.9 months respectively.
Median OS was significantly greater with IO + VEGF compared to VEGF only (HR 0.45, p = 0.04) and non-significantly greater compared to IO only (HR 0.46, p = 0.06). In multivariable analysis, primary tumour PR was the only response variable significantly associated with both OS (adjusted HR 0.32, p = 0.01) and PFS (adjusted HR 0.29, p < 0.01).
Conclusion
mRCC patients without prior nephrectomy receiving first-line IO + VEGF regimens showed the greatest primary tumour responses, suggesting further prospective evaluation of this combination in the neoadjuvant and deferred cytoreductive nephrectomy settings.
Outcomes for patients with advanced or metastatic urothelial carcinoma (UC) remain poor. Targeting the programmed death ligand-1 (PD-(L)1) immune checkpoint pathway has emerged as a useful target in ...patients with UC. Avelumab is a PD-L1 inhibitor, resulting in restoration of a cytotoxic, antitumor T cell response. Results from the JAVELIN bladder 100 trial has resulted in a new standard of care of platinum-based chemotherapy sequenced by maintenance avelumab in advanced or metastatic UC.
This review covers the clinical evidence for avelumab in UC. This includes the maintenance approach with avelumab, which has become the standard of care, following platinum-based chemotherapy.
Immune checkpoint inhibitor treatment in metastatic UC holds much promise, but has not been optimized. First-line maintenance avelumab is an attractive option for these patients. Future research will significantly change the landscape of treatment in the near future.
Although SARS-CoV-2 vaccines immunogenicity in patients with cancer has been investigated, whether they can significantly improve the severity of COVID-19 in this specific population is undefined.
...Capitalizing on OnCovid (NCT04393974) registry data we reported COVID-19 mortality and proxies of COVID-19 morbidity, including post-COVID-19 outcomes, according to the vaccination status of the included patients.
2090 eligible patients diagnosed with COVID-19 between 02/2020 and 11/2021 were included, of whom 1930 (92.3%) unvaccinated, 91 (4.4%) fully vaccinated and 69 (3.3%) partially vaccinated. With the exception of a higher prevalence of patients from the UK (p = 0.0003) and receiving systemic anticancer therapy at COVID-19 diagnosis (p = 0.0082) among fully vaccinated patients, no demographics/oncological features were associated with vaccination status. The 14-days case fatality rate (CFR) (5.5% vs 20.7%, p = 0.0004) and the 28-days CFR (13.2% vs 27.4%, p = 0.0028) demonstrated a significant improvement for fully vaccinated patients in comparison with unvaccinated patients. The receipt of prior full vaccination was also associated with reduced symptomatic COVID-19 (79.1% vs 88.5%, p = 0.0070), need of COVID-19 oriented therapy (34.9% vs 63.2%, p < 0.0001), complications from COVID-19 (28.6% vs 39.4%, p = 0.0379), hospitalizations due to COVID-19 (42.2% vs 52.5%, p = 0.0007) and oxygen therapy requirement (35.7% vs 52%, p = 0.0036). Following Inverse Probability Treatment Weighting (IPTW) procedure no statistically significant difference according to the vaccination status was confirmed; however, all COVID-19 related outcomes were concordantly in favour of full vaccination. Among the 1228 (58.8%) patients who underwent a formal reassessment at participating centres after COVID-19 resolution, fully vaccinated patients experienced less sequelae than unvaccinated patients (6.7% vs 17.2%, p = 0.0320).
This analysis provides initial evidence in support of the beneficial effect of SARS-CoV-2 vaccines against morbidity and mortality from COVID-19 in patients with cancer.
•Immunogenicity of SARS-CoV-2 vaccines in patients with cancer has been investigated.•There is a need for evidence of SARS-CoV-2 vaccines’ efficacy from large populations.•In this analysis, vaccinated patients experienced improved COVID-19 outcomes.•SARS-CoV-2 vaccines are effective in reducing severe COVID-19 in patients with cancer.
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