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UnknownFeasibility and acceptability of personalised breast cancer screening (DECIDO study): protocol of a single-arm proof-of-concept trial.

Introduction

Personalised cancer screening aims to improve benefits, reduce harms and being more cost-effective than age-based screening. The objective of the DECIDO study is to assess the acceptability and feasibility of offering risk-based personalised breast cancer screening and its integ...
S-EPMC7759966 | biostudies-literature
UnknownComprehensive immunophenotyping of gastric adenocarcinoma identifies an inflamed class of tumors amenable to immunotherapies.

Background

Gastric adenocarcinoma (GAC) imposes a considerable global health burden. Molecular profiling of GAC from the tumor microenvironment perspective through a multi-omics approach is eagerly awaited in order to allow a more precise application of novel therapies in the near future.
S-EPMC11927434 | biostudies-literature
UnknownComprehensive Constitutional Genetic and Epigenetic Characterization of Lynch-Like Individuals.
The causal mechanism for cancer predisposition in Lynch-like syndrome (LLS) remains unknown. Our aim was to elucidate the constitutional basis of mismatch repair (MMR) deficiency in LLS patients throughout a comprehensive (epi)genetic analysis. One hundred and fifteen LLS patients harboring MMR-defi...
S-EPMC7408773 | biostudies-literature
Unknown2018 consensus statement by the Spanish Society of Pathology and the Spanish Society of Medical Oncology on the diagnosis and treatment of cancer of unknown primary.
Cancer of unknown primary (CUP) is defined as a heterogeneous group of tumours that present with metastasis, and in which attempts to identify the original site have failed. They differ from other primary tumours in their biological features and how they spread, which means that they can be consider...
S-EPMC6182632 | biostudies-literature
ProteomicsChromatin loops are an ancestral hallmark of the animal regulatory genome
Chromatin-bound proteome profiling of Mnemiopsis leidyi
ORGANISM(S): Mnemiopsis leidyi 
2025-03-10 | PXD056500 | Pride
Ctenophora Chromatin 
UnknownPatients' and professionals' perspective of non-in-person visits in hereditary cancer: predictors and impact of the COVID-19 pandemic.

Purpose

To identify predictors of patient acceptance of non-in-person cancer genetic visits before and after the COVID-19 pandemic and assess the preferences of health-care professionals.

Methods

Prospective multicenter cohort study (N = 578, 1 February 2018-20 April 2019) and reconta...
S-EPMC8023774 | biostudies-literature
UnknownPlasma fibrinogen and risk of vascular recurrence after ischaemic stroke: An individual participant and summary-level data meta-analysis of 11 prospective studies.

Introduction

Inflammation is an emerging target for secondary prevention after stroke and randomised trials of anti-inflammatory therapies are ongoing. Fibrinogen, a putative pro-inflammatory marker, is associated with first stroke, but its association with major adverse cardiovascular event...
S-EPMC11418456 | biostudies-literature
UnknownNosocomial lower respiratory tract infections in patients with immunosuppression: a cohort study.

Background

This post-hoc analysis of a multinational, multicenter study aimed to describe and compare clinical characteristics, microbiology, and outcomes between immunosuppressed and non-immunosuppressed patients with nosocomial lower respiratory tract infections (nLRTI). The study utilized...
S-EPMC12055687 | biostudies-literature
UnknownDevelopment and validation of a predictive mortality scoring model for bloodstream infections due to Escherichia coli in the PROBAC cohort.

Introduction

Escherichia coli is the most frequent cause of bacteraemia and has a major impact on morbidity and mortality. The aim of this study is to define and internally validate a predictive risk score of 30-day all-cause mortality.

Methods

A prospective, multicentre, cohort study...
S-EPMC12675721 | biostudies-literature
UnknownExternal validation of a prediction model for bleeding events in anticoagulated cancer patients with venous thromboembolism (PredictAI).

Objective

The objective of this study was to validate the PredictAI models for predicting major bleeding (MB) in patients with active cancer and venous thromboembolism (VTE) with anticoagulant (ACO) therapy, within 6 months after primary VTE, using an independent cohort of patients from the ...
S-EPMC12460363 | biostudies-literature
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