Centre international de recherche sur le cancer

The HEADSpAcE Data Center: An international data and biospecimen resource for head and neck cancer translational research

Head and neck cancer (HNC) comprises a heterogeneous group of malignancies with substantial variation in incidence, risk factors, and outcomes across populations. Existing studies are often limited by regional scope or lack integration of epidemiological, clinical, and molecular...

Mapping the evidence base of kidney, prostate and urinary tract tumours to inform the WHO classification of tumours

Background The project ‘World Health Organization (WHO) Classification of Tumours (WCT): a Living Evidence Gap Map by Tumour Type’ applies the Evidence and Gap Map (EGM) methodology to systematically synthesise evidence to support iterative refinements of the WCT. As part of this...

Economic and health impact of integrating smoking cessation services into NHS cancer care pathways in England: a modelling study

Background Research has shown that smoking post-diagnosis negatively impacts cancer outcomes. This study aimed to assess the health and cost impacts of introducing smoking cessation services at cancer diagnosis for people who smoke. Methods A cost-effectiveness model was develope...

Trends in early-onset cancer incidence rates in the Nordic countries (2003–2022): a population-based study

Background Increasing incidence rates of early-onset cancer at ages 20–49 years have been reported in several countries, especially for colorectal, kidney and breast cancer. We examined recent incidence trends of early-onset cancer in Denmark, Finland, Iceland, Norway, Sweden, Gr...

Aligning patient navigation activities with the early cancer care agenda in LMICs: a framework for implementation across the cancer continuum

Delays in cancer care are a persistent challenge in low- and middle-income countries, often driven by social and systemic barriers. This challenge is particularly acute in LMICs where cancer mortality-to-incidence ratios remain disproportionately high and health system fragmentat...

Deep molecular profiling of lung neuroendocrine tumours and supra-carcinoids

BACKGROUND: Lung neuroendocrine tumours (NETs, also known as carcinoids) are rapidly rising in incidence worldwide but have unknown aetiology and limited therapeutic options beyond surgery. The current WHO classification, based on mitotic count and presence or absence of necrosis...

Plasma proteomes of obesity and allometric body shapes in the EPIC cohort

Abstract General obesity (high body mass index, BMI) affects circulating proteins. Obesity-related outcomes, however, differ by body shape but waist and hip circumferences cannot distinguish abdominal from general obesity. We therefore used the allometric body shape index (ABSI),...

Early evaluation of the WCT EVI MAP project: implementation, challenges, and emerging impact on evidence-based tumour classification

<ns5:p>Background The WHO Classification of Tumours (WCT) underpins cancer diagnosis globally, but the evidence-base used to inform tumour classification has never been systematically appraised. The WCT EVI MAP project was designed to address this need by developing a structured,...

Prospective analysis of pre-diagnostic untargeted plasma metabolomics and risk of triple-negative breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC)

Triple-negative breast cancer (TNBC) accounts for 10–15% of newly diagnosed breast cancer, and its aetiology is poorly understood compared to other breast cancer subtypes. We applied untargeted metabolomics to identify novel biological pathways associated with TNBC risk and poten...