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Social inequalities widen after a breast cancer

18 Jun 2024 | By Inserm (Newsroom) | Cancer

cancer du seinA French-Swiss team has highlighted the long-term impact of socioeconomic inequalities on the quality of life of women who have had breast cancer. © Photo Angiola Harry / Unsplash

When it comes to health, inequalities can be seen at every level for women with breast cancer: prevention, screening, diagnosis, treatment, and survival. But what about their quality of life? A team from the University of Geneva (UNIGE), the University Hospitals of Geneva (HUG), Inserm, and Gustave Roussy has tracked nearly 6,000 women diagnosed with breast cancer over a 2-year period, showing that socioeconomic status has a major and lasting impact on their quality of life, despite identical medical treatment. These results from the UNICANCER-sponsored CANTO study, published in the Journal of Clinical Oncology, call for socioeconomic factors to be taken into greater account in support programmes for women with breast cancer.

Social and economic determinants (such as income and educational levels) impact how individuals cope with illness and are one of the main causes of inequalities in health. In cancer care, socioeconomic inequalities are present throughout the continuum of care, from prevention to diagnosis, treatment, and survival.

‘However, the extent of socioeconomic inequalities in the quality of life of women diagnosed with breast cancer and how these change during treatment was not known,’’ explains José Sandoval, an oncologist at the HUG Department of Oncology and a researcher in the Departments of Medicine and Community Health and Medicine at the UNIGE Faculty of Medicine, first author of this study. ‘‘We sought to quantify the inequalities in quality of life for these women, both at the time of diagnosis and in the following two years.’’

Nearly 6,000 women monitored over two years

The 5,900 women who took part in this study were treated in France for early breast cancer, a common form of cancer from which more than 80% of women recover.

‘‘Many of the women received heavy treatment in the first year following their diagnosis – including surgery followed by chemotherapy— followed by endocrine therapy in the second year. We followed them over two years to capture changes in quality of life over the medium term,’’ explains Gwenn Menvielle, research director at Inserm and at Gustave Roussy, who led this research.

The research team examined five areas of quality of life — general tiredness, psychological state, sexual health, and side effects — according to a number of socioeconomic indicators: level of education, household income, and perceived financial situation. Combining these elements produces a score where 0 indicates no inequalities.

 

Inequalities are increasing rapidly

At diagnosis, the inequalities in quality of life between the two socioeconomic extremes are notable, with a score of 6,7. The score increases to 11 during treatment, then remains at 10 two years after diagnosis, a higher score than at that time.

‘‘If we expected a certain degree of inequality at the start of the disease, the fact that these inequalities increase rapidly and persist for so long is a surprise,’’ mentions José Sandoval. ‘‘The impact on quality of life is much more pronounced for women with fewer resources, irrespective of the biological characteristics of their cancer, their age or the treatment they have received.’’

Why? The answers are to be found not in the treatment, which is similar for all women, but probably in all the elements of support around medical management.

‘‘Having the time, money, and access to information to take care of oneself, find support resources, and better manage the physical and psychological side-effects of the disease will probably be easier for women of high socioeconomic status than for, say, a single mother on a low income with no carer for her children,’’ points out José Sandoval. ‘‘These factors influence the disease and its consequences on patients’ physical and psychological health.’’

Taking better account of inequalities

Equal access to healthcare is not synonymous with the absence of inequality. The socioeconomic context can have a major impact on health status in the same way as biological characteristics.

‘‘When we talk about precision oncology, we need to consider the whole person, including their social dimension,’’ add the authors. ‘‘Our data concerns women treated in France, a country with equal healthcare access. In countries without a universal healthcare system, these inequalities are likely to be even more pronounced.’’

These results are part of the CANTO study: ‘‘étude des toxicités chroniques des traitements anticancéreux chez les malades porteurs de cancer localisé’’, supported by the French Government under the “Investment for the Future” program managed by the National Research Agency (ANR), grant n° ANR-10-COHO-0004.

Medias
Researcher Contact

Gwenn Menvielle

Research Director, Inserm
Gustave Roussy
Université Paris-Saclay

“Molecular Predictors
and New Targets in Oncology’’ research unit

Tjraa.zraivryyr@vafrez.se

 

José Sandoval

Privat-docent

Department of Medicine

UNIGE Faculty of Medicine

Head of Clinic
Department of Oncology HUG

wovp@uht.pu

 

Press Contact

cerffr@vafrez.se

Sources

The magnitude and temporal variations of socioeconomic inequalities in the quality of life after early breast cancer: results from the multicentric French CANTO cohort

Journal of Clinical Oncology, 18 June 2024

DOI: 10.1200/JCO.23.02099

José Luis Sandoval,1,2 Maria Alice Franzoi,3 Antonio di Meglio,3,4 Arlindo R. Ferreira,5 Alessandro Viansone,4 Fabrice André,3,4 Anne-Laure Martin,6 Sibille Everhard,6 Christelle Jouannaud,7 Marion Fournier,8 Philippe Rouanet,9 Laurence Vanlemmens,10 Asma Dhaini-Merimeche,11 Baptiste Sauterey,12 Paul Cottu,13 Christelle Levy,14 Silvia Stringhini,1 Idris Guessous,1 Ines Vaz-Luis,3,15 Gwenn Menvielle3

1) Unit of Population Epidemiology, Division of Primary Care, Department of Health and Community Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
2) Division of Oncology, Department of Oncology, Geneva University Hospitals, Geneva, Switzerland
3) INSERM, Gustave Roussy Institute, University Paris Saclay, Unit Molecular Predictors and New Targets in Oncology, Villejuif, France
4) Medical Oncology Department, Gustave Roussy Institute, Villejuif, France
5) Universidade Católica Portuguesa, Lisbon, Portugal
6) UNICANCER, Direction des Data et des Partenariats, Le Kremlin-Bicêtre
7) Institut Godinot, Reims, France
8) Institut Bergonié, Bordeaux, France
9) Institut régional du cancer de Montpellier – Val d’Aurelle, Montpellier, France
10) Centre Oscar Lambret, Lille, France
11) Institut de cancérologie de Lorraine – Alexis Vautrin, Vandoeuvre lès Nancy, France
12) Institut de Cancérologie de L’ouest -Site Angers, Angers, France
13) Institut Curie, Paris, France
14) Centre François Baclesse, Caen, France
15) Interdisciplinary department for the organization of patient pathways (DIOPP), Gustave Roussy Institute, Villejuif, France

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