Publications by authors named "Nikolaos Diamantis"

Given the -series of a half-integral weight cusp form, we construct polynomials behaving similarly to the classical period polynomial of an integral weight cusp form. We also define a lift of half-integral weight cusp forms to integral weight cusp forms that are compatible with the -series of the respective forms.

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Aims: Fluoropyrimidine chemotherapy is important for treatment of many solid tumours but is associated with cardiotoxicity. The relationship of fluoropyrimidine-associated cardiotoxicity (FAC) with conventional cardiovascular (CV) risk factors is poorly understood, and standard cardiovascular risk scores are not validated in this context.

Methods And Results: Single-centre retrospective study of patients treated with fluoropyrimidine chemotherapy using electronic health records for cardiovascular risk factors (and calculation of QRISK3 score), cancer treatment, and clinical outcomes.

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Objectives: To date, studies have not provided definitive answers regarding whether previous immune checkpoint inhibitor (ICI) treatment alters outcomes for cancer patients with COVID-19.

Methods: The OnCovid registry (NCT04393974) was searched from February 27, 2020, to January 31, 2022, for patients who received systemic anti-cancer therapy in the 4 weeks before laboratory-confirmed COVID-19 diagnosis. Propensity-score matching using country, vaccination status, primary tumor type, sex, age, comorbidity burden, tumor stage, and remission status investigated differences in predefined clinical outcomes comparing those who had or had not received ICIs.

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There is an evolving landscape of systemic combination regimens for patients with advanced well-differentiated gastroenteropancreatic neuroendocrine tumors (GEP-NETs). In this review, we provide a comprehensive outline of the existing clinical trials/prospective studies investigating these combinations. PubMed was searched using key relevant terms to identify articles referring to GEP-NETs and combination treatments.

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Background: COVID-19 sequelae can affect about 15% of patients with cancer who survive the acute phase of SARS-CoV-2 infection and can substantially impair their survival and continuity of oncological care. We aimed to investigate whether previous immunisation affects long-term sequelae in the context of evolving variants of concern of SARS-CoV-2.

Methods: OnCovid is an active registry that includes patients aged 18 years or older from 37 institutions across Belgium, France, Germany, Italy, Spain, and the UK with a laboratory-confirmed diagnosis of COVID-19 and a history of solid or haematological malignancy, either active or in remission, followed up from COVID-19 diagnosis until death.

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Lynch syndrome (LS), caused by heterozygous germline mutation in one of the key mismatch repair (MMR) genes, is the primary cause of inherited colorectal cancer (CRC). LS also increases susceptibility to several other cancers. It is estimated that just 5% of patients with LS are aware of their diagnosis.

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Purpose: 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.

Methods: 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.

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Background: Consolidated evidence suggests spontaneous immunity from SARS-CoV-2 is not durable, leading to the risk of reinfection, especially in the context of newly emerging viral strains. In patients with cancer who survive COVID-19 prevalence and severity of SARS-CoV-2 reinfections are unknown.

Methods: We aimed to document natural history and outcome from SARS-CoV-2 reinfection in patients recruited to OnCovid (NCT04393974), an active European registry enrolling consecutive patients with a history of solid or haematologic malignancy diagnosed with COVID-19.

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Article Synopsis
  • The study investigates the impact of the omicron variant of SARS-CoV-2 on patients with cancer compared to earlier waves (prevaccination, alpha, and delta), focusing on COVID-19 outcomes in Europe.
  • It is a retrospective analysis using data from the OnCovid Registry, including patients with a history of cancer from various European countries, monitoring their COVID-19 complications and mortality.
  • Findings from 3820 patients reveal trends in hospitalization, complications, and mortality rates related to COVID-19 across different time periods, with adjustments for various factors.
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  • A study found that many cancer patients who recover from COVID-19 experience lasting effects, known as post-COVID-19 sequelae, which can impact their ongoing cancer care and outcomes.
  • Among 186 patients studied, 16.6% reported persistent symptoms like fatigue and respiratory issues within a few months of recovering from COVID-19, with some symptoms lasting up to 12 months.
  • The results emphasize the importance of monitoring and supporting cancer patients after COVID-19, especially since many in the study were unvaccinated and had previously complicated cases of the virus.
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Background: Fifteen percent of patients with cancer experience symptomatic sequelae, which impair post-COVID-19 outcomes. In this study, we investigated whether a proinflammatory status is associated with the development of COVID-19 sequelae.

Methods: OnCovid recruited 2795 consecutive patients who were diagnosed with Severe Acute Respiratory Syndrome Coronavirus 2 infection between February 27, 2020, and February 14, 2021.

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Article Synopsis
  • The study aimed to determine if COVID-19 severity and death rates among patients with cancer improved over time during the pandemic.
  • It utilized data from the OnCovid registry, which included nearly 2,800 patients with various types of cancer from 6 European countries, focusing on patient outcomes from February 2020 to February 2021.
  • Results showed that the 14-day case-fatality rate significantly decreased over time, suggesting improved management and outcomes for cancer patients infected with COVID-19.
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Background: Cancer patients are at higher risk of COVID-19 complications and mortality than the rest of the population. Breast cancer patients seem to have better prognosis when infected by SARS-CoV-2 than other cancer patients.

Methods: We report a subanalysis of the OnCovid study providing more detailed information in the breast cancer population.

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  • The study investigates the impact of COVID-19 on cancer patients, focusing on the prevalence of long-term effects (sequelae) and their influence on patient survival.
  • The research involved 2,634 eligible cancer patients who had confirmed SARS-CoV-2 infections and were assessed several months after recovery to analyze their health outcomes.
  • Results showed 1,557 COVID-19 survivors underwent a formal reassessment about 22 months post-cancer diagnosis, revealing insights into the effects of COVID-19 on their treatment and survival.
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Background: Specialist palliative care team (SPCT) involvement has been shown to improve symptom control and end-of-life care for patients with cancer, but little is known as to how these have been impacted by the COVID-19 pandemic. Here, we report SPCT involvement during the first wave of the pandemic and compare outcomes for patients with cancer who received and did not receive SPCT input from multiple European cancer centres.

Methods: From the OnCovid repository ( = 1318), we analysed cancer patients aged ⩾18 diagnosed with COVID-19 between 26 February and 22 June 2020 who had complete specialist palliative care team data (SPCT+ referred; SPCT- not referred).

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The COVID-19 pandemic has led to adaptations being made to all aspects of the NHS, including general practice, acute medical specialties and oncology. This has presented unique challenges to acute oncology services (AOSs) in how to provide continuity of care while maintaining the safety of patients and staff. We describe the experience of the AOS team at Barts Health NHS Trust, working across three acute hospitals in east London.

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Background: 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.

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Background: Patients with cancer are particularly susceptible to SARS-CoV-2 infection. The systemic inflammatory response is a pathogenic mechanism shared by cancer progression and COVID-19. We investigated systemic inflammation as a driver of severity and mortality from COVID-19, evaluating the prognostic role of commonly used inflammatory indices in SARS-CoV-2-infected patients with cancer accrued to the OnCovid study.

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Article Synopsis
  • BAL101553 is a prodrug showing broad anti-cancer effects in hard-to-treat tumor models, particularly those resisting traditional microtubule-targeting treatments.
  • A phase 1/2a clinical trial was conducted to establish the maximum tolerated dose (MTD) and assess safety and efficacy in adults with advanced solid tumors, with the MTD found to be 60 mg/m.
  • The recommended phase 2 dose (RP2D) for infusion was determined to be 30 mg/m, with a disease control rate of 26.3%, while side effects included reversible gait disturbances and asymptomatic myocardial injury at higher doses.
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Background: The incidence and clinical significance of electrolyte abnormalities (EAs) in phase I clinical trials are unknown. The objective of this study is to evaluate the incidence and severity of EAs, graded according to CTCAE, v4.03, to identify variables associated with EAs and their prognostic significance in a phase I population.

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Background: Adolescent and young adult (AYA) patients with advanced solid tumours are often considered for phase I clinical trials with novel agents. The outcome of AYAs in these trials have not been described before.

Aim: To study the outcome of AYA patients in phase I clinical trials.

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Introduction: Adolescents and young adults (AYAs) diagnosed with cancer between ages 15-39 years may harbour germline variants associated with cancer predisposition. Such variants represent putative therapeutic targets, as may somatic variants in the tumour. Germline and tumour molecular profiling is increasingly utilised to facilitate personalisation of cancer treatment in such individuals.

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Background: We have previously reported a prognostic score for patients in phase I trials in the Drug Development Unit, treated at the Royal Marsden Hospital (RPS). The RPS is an objective tool used in patient selection for phase I trials based on albumin, number of disease sites and LDH. Patients with mesothelioma are often selected for phase I trials as the disease remains localised for long periods of time.

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Antibody-drug conjugates (ADCs) are an emerging novel class of anticancer treatment agents that combines the selectivity of targeted treatment with the cytotoxic potency of chemotherapy drugs. New linker technology associated with novel highly potent cytotoxic payloads has permitted the development of more effective and safe ADCs. In recent years, two ADCs have been licensed, T-DM1 and brentuximab vedotin, and are already establishing their place in cancer treatment.

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The diagrammatic Monte Carlo (DiagMC) method is a numerical technique which samples the entire diagrammatic series of the Green's function in quantum many-body systems. In this work, we incorporate the flat histogram principle in the diagrammatic Monte Carlo method, and we term the improved version the "flat histogram diagrammatic Monte Carlo" method. We demonstrate the superiority of this method over the standard DiagMC in extracting the long-imaginary-time behavior of the Green's function, without incorporating any a priori knowledge about this function, by applying the technique to the polaron problem.

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