Determinants of quality of life among long-term breast cancer survivors

International audiencePurpose:To identify the impact of clinical and socio-economic determinants on quality of life (QoL) among breast cancer (BC) survivors 5 years after diagnosis.Methods:A cross-sectional survey was conducted in women diagnosed in 2007 for primary invasive non-metastatic BC and identified through the Côte d’Or BC registry. QoL was assessed with the Medical Outcomes Study 12-item Short Form Health Survey (SF-12), the European Organization for Research and Treatment of Cancer Quality of Life (EORTC-QLQ-C30) and the breast cancer (EORTC-QLQ-BR23) questionnaires. Social support was assessed with Sarason’s social support questionnaire, and deprivation was assessed by the EPICES questionnaire. Clinical variables were collected through the registry database. Determinants of QoL were identified using multivariable mixed model analysis for each SF-12 dimension. A sensitivity analysis was conducted with multiple imputations on missing data.Results:Overall, 188 patients on 319 patients (59 %) invited to participate to the survey completed the questionnaires. Five years after breast cancer diagnosis, the disease stages at diagnosis, as well as the treatment received, were not determinants of QoL. Only the age at diagnosis and comorbidities were found to be determinants of QoL.Conclusions:Five years after BC diagnosis, disease severity and the treatment received did not affect QoL

What Are Young Women Living Conditions after Breast Cancer? Health-Related Quality of Life, Sexual and Fertility Issues, Professional Reinsertion

International audienc

Breast cancer subtype of French women is not influenced by socioeconomic status: A population-based-study.

CONTEXT:The molecular subtype of breast tumours plays a major role in cancer prognosis and treatment options. Triple negative tumours (TN) carry the worst prognosis and affects most frequently women of low socioeconomic status (SES). Studies have shown that non-biologic factors, such as the socioeconomic status could have an influence on tumour biology. To this date no study has been done investigating this association in French women. The objective is to study the association between the SES and the molecular tumour subtype of breast cancer patients in the French county of Côte d'Or. This study benefits from the population data from the Côte d'Or breast cancer registry known for its strict quality control policy. METHODS:Invasive breast cancer cases between 2003 and 2013 were extracted from the Breast cancer registry database in Côte d'Or. A multivariate analysis was conducted using a hierarchical polytomous regression for the multinomial outcomes for the cancer subtype with HR+/HER2 as reference category. RESULTS:A total of 4553 cases were included in our study. There was no significant association found between SES and tumour subtype in French women at diagnosis. Women older than 75 years were less likely to have a TN and HR+/HER2+ breast cancer (OR = 0.66; CI95% = [0.46-0.94] and OR = 0.51; CI95% = [0.37-0.70] respectively). Women with TN tumour subtype had significantly less lymph node invasion when compared to HR+/HER2- subtype (OR = 0.71; CI95% = [0.54-0.92]). CONCLUSION:No significant association was found between socioeconomic status and molecular subtype. Further studies are needed to clarify the mechanisms associated with developing each tumour subtype

Characteristics of breast cancer subtypes of patients in Côte d’Or selected for the study (2003–2013).

<p>Characteristics of breast cancer subtypes of patients in Côte d’Or selected for the study (2003–2013).</p

Estimated odds ratios (OR) with 95% confidence intervals (CI) from hierarchical polytomous regression models of association between patient sociodemographic and clinical characteristics with breast cancer subtype (2003–2013).

<p>Estimated odds ratios (OR) with 95% confidence intervals (CI) from hierarchical polytomous regression models of association between patient sociodemographic and clinical characteristics with breast cancer subtype (2003–2013).</p

Distribution of breast cancer diagnosis by tumour subtype and year of diagnosis.

<p>Distribution of breast cancer diagnosis by tumour subtype and year of diagnosis.</p

Flow chart for the selection of subject for the statistical analysis.

<p>Flow chart for the selection of subject for the statistical analysis.</p