Establishment of Molecular Profiling for Individual Clinical Routine Treatment Decision in Early Breast Cancer

Summary

Participation Requirements

Description

Several known prognostic factors are used to identify breast cancer patients with an unfavourable prognosis to receive adjuvant systemic therapy, such as tumor size, histological grade, hormone receptor status and axillary lymph node metastasis. However, a large majority of early stage breast cancer...

Several known prognostic factors are used to identify breast cancer patients with an unfavourable prognosis to receive adjuvant systemic therapy, such as tumor size, histological grade, hormone receptor status and axillary lymph node metastasis. However, a large majority of early stage breast cancer patients with small primary tumors and no lymph-node metastasis receive such treatment without being at risk of developing recurrent distant disease. Furthermore, today still only about 1/3-1/2 of the patients with occult residual cancer who receive standard adjuvant chemotherapy and/or endocrine therapy are cured as a consequence of this treatment.Therefore, the future clearly needs a more precise stratification for treatment decisions. As several alternative potent therapeutic agents exist for breast cancer, a detailed characterization of the individual breast cancer disease may improve individualized prognostication and treatment. The possibilities for detailed characterization of the primary tumor have grown substantially during the last 10 years, and the prognostic and predictive impact of various molecular-based analytical tests and algorithms has been established. In order to bring forward such strategies to the individual patient in a routine clinical setting, a project with a clear goal of establishing and evaluating the most validated molecular profiles is needed.This project will evaluate the consequences of a molecular based classification of breast cancer on treatment selection as well as on economical issues such as laboratory expenses and costs related to treatment. The safety and reproducibility of the molecular assays will also be evaluated and compared to existing prognostic and predictive markers. Finally, it will also provide an opportunity for development and prospective testing of novel prognostic or predictive subtype-specific molecular markers. The project is multidisciplinary involving personnel from the following disciplines; pathology, molecular pathology, surgery, oncology and molecular biology. Patients with lymph node negative ER+positive HER2 negative breast cancer who have completed primary surgery, are candidates for this study. Patient can be included after written informed consent has been obtained and eligibility has been established and approved. It will be organized as a multi-center study. The study will be run as a one-armed trial. Patients with appropriate primary tumor characteristics will be informed at first postoperative visit. Treatment recommendations will be based on the Prosigna test result, in addition to conventional clinicopathological parameters. The Prosigna test will be performed after study inclusion. Before the Prosigna test result will be informed, the treating physician has to report the type of adjuvant treatment that would have been recommended without performing the Prosigna test. After the Prosigna test results is available, the final decision of adjuvant systemic treatment plan is registered. During and after adjuvant treatment, the follow-up of patients will be according to usual care and Norwegian Breast Cancer Group (NBCG) guideline recommendations, including annual mammography and/or breast ultrasound. The events recorded during follow-up will be reported in the Norwegian Breast Cancer Registry (NBCR) which will be the main study CRF. The annual follow-up can be organized at the hospital or with the general practioner (including telephone contact from study center). The study will recruit a total of 2150 patients, of whom approximately 1500 will not be recommended chemotherapy. After inclusion, the patients will be followed for breast cancer related events for at least 5 years (8 years from study start). Study assessments includes the following: Demographics (age, sex) (at inclusion), medical non-breast cancer related history (not to be included in case report form, only in the medical record). Physical examination including locoregional examination of breast/chest wall and regional lymph nodes, additional examination if clinically indicated. Functional status according to NBCR. Mammography and if indicated breast ultrasound, if not bilateral mastectomy (before surgery and at follow-up visits).Clinical status (at follow-up). In addition to information from the patient questionnaires, patient medication (including continuation of endocrine treatment or other breast cancer treatment related medication) will be collected through the Norwegian Prescription Database and occupational disability/sick leave through the Norwegian Labor and Welfare Administration (NAV) or FD-Trygd. As the recorded patients' data in the project will be stored for a very long time, it will later be relevant to link information against the information from the Cancer Registry of Norway and the Death Cause Registry. At baseline, 3 months, 6 months, 1 year, 2 years and at 5 year follow-up all patients will be asked to answer questionnaires consisting of established scales with good psychometric properties and single items covering socio-demographics, comorbidity, work ability, general health and quality of life (including RAND-36 and the EQ-5D), fatigue (fatigue questionnaire73), anxiety (GAD-7 questionnaire) and depressive symptoms74, life style, sleep and breast cancer specific symptoms and complaints (EORTC QLQ-BR23, FACT-B and FACT-ES). Formal economic evaluation of cost-benefit will be performed based on simulation of treatment paths. First, an analysis of the expected cost of the interventions (patient and hospital costs) will be performed. The second step will involve an estimation of the benefits. A likely key benefit is the potential reduction in health resource use (for instance late effects that need health service and sick-leave) resulting from fewer patients treated with chemotherapy. The size of the cost/benefits will be estimated from data provided by the questionnaires as mentioned above as well as from other external sources.

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