Publications by authors named "Vanella P"

Purpose: The diagnosis of breast cancer during pregnancy is a rare event, but it is more frequent in our daily clinical practice due to the progressing aging of pregnant women. The management of a woman affected by pregnancy-associated breast cancer (PABC) remains a challenge for the clinician as it is related to ethical and psychological decisions.

Patients And Methods: Here, we retrospectively described 10 cases of PABC in women treated at our Institution.

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Background: Physical activity (PA) reduces the risk of developing breast cancer (BC) and mortality rate in BC patients starting PA after diagnosis. Immunomodulation is considered responsible for these effects. However, limited data exist on the immunomodulation induced by moderate PA (mPA) during neoadjuvant chemotherapy (NACT).

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Background: Type 2 Diabetes mellitus (T2DM) and periodontitis share common risk factors and influence one another. However, primary care and oral health care continue to operate separate from each other and fail to synchronize care for patients with T2DM and periodontitis. The purpose of this practice-based trial is to evaluate the implementation of a new integrated care pathway for patients with T2DM and periodontitis.

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Background: Treatment of metastatic hormone-sensitive prostate cancer (mHSPC) dramatically changed. PEACE-1 and ARASENS trials established triplet therapy efficacy. Identifying prognostic factors supporting treatment choice is pivotal.

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Objectives: Hospital admission (HA) in cancer history is a common, repeated and frequently unplanned event. The emergency departments (EDs) and the oncological outpatient service (OOS) are the ordinary way of entry. We studied the reasons of admission, pathways of access and discharge and prognostic factors in a population of admitted patients with cancer.

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Decisions on public health measures to contain a pandemic are often based on parameters such as expected disease burden and additional mortality due to the pandemic. Both pandemics and non-pharmaceutical interventions to fight pandemics, however, produce economic, social, and medical costs. The costs are, for example, caused by changes in access to healthcare, social distancing, and restrictions on economic activity.

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Current estimates of pandemic SARS-CoV-2 spread in Germany using infectious disease models often do not use age-specific infection parameters and are not always based on age-specific contact matrices of the population. They also do usually not include setting- or pandemic phase-based information from epidemiological studies of reported cases and do not account for age-specific underdetection of reported cases. Here, we report likely pandemic spread using an age-structured model to understand the age- and setting-specific contribution of contacts to transmission during different phases of the COVID-19 pandemic in Germany.

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Background: School-level infection control measures in Germany during the early Coronavirus Disease 2019 (COVID-19) pandemic differed across the 16 federal states and lacked a dependable evidence base, with available evidence limited to regional data restricted to short phases of the pandemic. This study aimed to assess the (a) infection risks in students and staff; (b) transmission risks and routes in schools; (c) effects of school-level infection control measures on school and population infection dynamics; and (d) contribution of contacts in schools to population cases.

Methods And Findings: For this retrospective observational study, we used German federal state (NUTS-2) and county (NUTS-3) data from public health and education agencies from March 2020 to April 2022.

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Background: There remain gaps in quantifying mortality risk among individuals co-infected with chronic hepatitis B (HBV) and human immunodeficiency virus (HIV) in sub-Saharan African contexts. Among a cohort of HIV-positive individuals in Rwanda, we estimate the difference in time-to mortality between HBV-positive (HIV/HBV co-infected) and HBV-negative (HIV mono-infected) individuals.

Methods: Using a dataset of HIV-infected adults screened for hepatitis B surface antigen (HBsAg) from January to June 2016 in Rwanda, we performed time-to-event analysis from the date of HBsAg results until death or end of study (31 December 2019).

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We develop a novel approach integrating epidemiological and economic models that allows data-based simulations during a pandemic. We examine the economically optimal opening strategy that can be reconciled with the containment of a pandemic. The empirical evidence is based on data from Germany during the SARS-CoV-2 pandemic.

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Cancer induces immune suppression to overcome its recognition and eradication by the immune system. Cytokines are messengers able to modulate immune response or suppression. There is great interest in the evaluation of their changes during treatment in order to identify their relationship with clinical outcome.

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The COVID-19 outbreak has called for renewed attention to the need for sound statistical analyses to monitor mortality patterns and trends over time. Excess mortality has been suggested as the most appropriate indicator to measure the overall burden of the pandemic in terms of mortality. As such, excess mortality has received considerable interest since the outbreak of COVID-19 began.

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Background: This study was designed to demonstrate the non-inferiority (NI) in overall survival (OS) of suspension of androgen deprivation therapy (ADT) versus maintenance and intermittent versus continuous docetaxel administration in metastatic castration-resistant prostate cancer (mCRPC) patients.

Patients And Methods: mCRPC patients were randomised to first-line docetaxel with maintenance or suspension of ADT. Patients attaining a prostate-specific antigen (PSA) response after four chemotherapy cycles underwent second randomisation to receive continuous or intermittent docetaxel therapy.

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Background: Comprehensive evidence synthesis on the associations between comorbidities and behavioural factors with hospitalisation, intensive care unit (ICU) admission, and death due to COVID-19 is required for deriving national and international recommendations on primary targets for non-pharmacological interventions (NPI) and vaccination strategies.

Methods: We performed a rapid systematic review and meta-analysis on studies and publicly accessible data to quantify associations between predisposing health conditions, demographics, behavioural factors on the one hand and hospitalisation, ICU admission, and death from COVID-19 on the other hand. We provide ranges of reported and calculated effect estimates and pooled relative risks derived from a meta-analysis and meta-regression.

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Background: SARS-CoV-2 has induced a worldwide pandemic and subsequent non-pharmaceutical interventions (NPIs) to control the spread of the virus. As in many countries, the SARS-CoV-2 pandemic in Germany has led to a consecutive roll-out of different NPIs. As these NPIs have (largely unknown) adverse effects, targeting them precisely and monitoring their effectiveness are essential.

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Background: Anticancer drugs can interact with the tumour microenvironment and their effects could be exploited to favour anticancer immune response. Eribulin contributes to tumour vasculature remodelling and transforming growth factor β (TGF-β) modulation in experimental models and in humans. We performed a prospective, translational, exploratory analysis of the levels of circulating cytokines at different time points in patients with metastatic breast cancer treated with eribulin.

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Background: The coronavirus disease 2019 (COVID-19) pandemic is posing an unprecedented dilemma to oncologists worldwide, forcing them to decide whether to continue or suspend treatments in order to protect their most vulnerable patients from infection. After the first report from China, the outbreak spread rapidly worldwide. To, date no clear indications on how to treat patients with cancer with COVID-19 infection are available.

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Eribulin is a synthetic analog of halichondrin B belonging to microtubule-targeted agents with a distinct mechanism of inhibition of microtubule dynamics. This molecule has multiple nonmitotic effects on tumor biology, exhibiting effects on epithelial-mesenchimal transition and tumor vasculature. We review here preclinical and clinical studies on eribulin.

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Purpose: Breast cancers expressing high levels of Ki-67, a nuclear marker of cell proliferation, are associated with worse outcome. Recent data from neoadjuvant studies indicate that a single measurement of the nuclear proliferation marker Ki-67 in breast carcinoma during neoadjuvant therapy is strongly predictive of long-term outcome. Secondly, recent literature data indicate that prognostic evaluation with Ki-67 may be better after pre-surgical therapy.

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Objectives: Biological markers that reliably predict clinical and pathological response to primary systemic therapy may have considerable clinical potential; this study evaluated response compared to expression of ER, PgR and Her2, grading and Ki-67 proliferation index before and after neoadjuvant chemotherapy in patients with locally advanced breast cancer (LABC).

Patients And Methods: Fifty-five patients received neoadjuvant chemotherapy for LABC. The incidence of clinical and pathological responses was assessed with respect to basal clinical stage, absent/low vs.

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